A KILLING AFFAIR A film review by Peter Reiher Copyright 1988 Peter Reiher
The following review is of a film appearing at the recent AFI Film Festival in Los Angeles. I have no way of knowing whether the film reviewed will appear at any normal theaters any time in the near future (or even at all).
When one goes to a film festival, one expects to see films that normally wouldn't show up anywhere else. Some of them might be too unusual or different for general release, either because of the filmmakers' idiosyncrasies or because of deep cultural differences between the filmmakers and the audience. Some might be overly ambitious failures. Some might be masterpieces by unsung geniuses. Some might be godawful messes that were included for reasons beyond the ken of all but the festival committee. What one doesn't expect is mediocre Hollywood filler. Which is why A KILLING AFFAIR was so surprising when it showed up at the AFI Festival.
Basically, A KILLING AFFAIR is suspense film, with little to distinguish it from any of the other 100 American suspense films released in the last year. About the only interesting feature is that it's set in rural West Virginia during World War II, but little in the story or characters arises from the time or place, so the setting is no more than local color. Otherwise, the film unwinds in precisely the same way that all of its brethren do.
The story concerns a woman who is alone in a secluded house, menaced by a mysterious stranger. Her husband, a womanizing cad, is away across the river, and she doesn't know when he'll return. The only neighbor, a mile away, doesn't want to get involved. The ferry is too far, and there aren't any boats around. So she must deal with the stranger by herself. And, as the film progresses, the role of the stranger becomes more complicated than a mere boogeyman. The setup lacks originality, but is a reasonable base for a suspense story. The execution, unfortunately, is totally ordinary.
David Saperstein, who also wrote the film, shows a journeyman's talent in his first directorial effort. Everything hangs together reasonably well, the camerawork isn't terrible, the pacing is acceptable, the acting satisfactory. A KILLING AFFAIR gives the feeling of a director who relied too heavily on the rest of the crew. It looks like the cinematographer did pretty much what he felt was right, the editor cut it his own way, the composer made all the musical decisions, and the actors followed their own instincts, without anyone exerting a unifying force on the film. That is the director's task. Saperstein seems to have stood back too far, allowing able professionals to handle routine jobs, rather than convincing them that more than the routine was demanded.
Probably the strongest element of the film is Peter Weller's performance as the mysterious stranger. He demonstrates, as he did in FIRSTBORN and SHOOT THE MOON, a fine ability to combine menace and attraction. Unfortunately, the script ultimately requires some pretty bizarre twists in the character, and, while Weller tries hard, he's not quite able to pull them off.
Kathy Baker, in the central role of the film, fails almost from her first appearance. While apparently an accomplished stage actress, she is unable to find the key to making us care about her character. We never sympathize with her, or have a strong desire to see her removed from danger. The character is written weak, which made her task much harder. This is the sort of role more suitable for an established screen performer, as they can carry into the film a history that makes us empathize with the characters they play.
Saperstein's script is not well shaped. Constrained by working from someone else's novel, and apparently not a good one, Saperstein failed to solve certain problems of the story.  He also provides insufficient opportunities to develop suspense. Neither does he do much to convince us of the period or place of the film. The story could equally well be set anywhere, with little or no change in dialog or plot.
Cinematography (by Dominique Chapuis) and editing (by Patrick McMahon) are professional and unengaged. Any other of dozens of their compatriots could have filled in for them, and produced exactly the same thing. John Barry's score is also more professional than exciting.
A KILLING AFFAIR is destined for brief runs in theaters across the country. It will probably be opened regionally, and has already been shown in some parts of the US. While the film has nothing really wrong with it, it's hard to recommend such a resolutely average effort. I suppose that Peter Weller fans might want to see it, but others need not worry about missing out on anything. If you absolutely have to see a movie, and it's this or FRIDAY THE 13TH: PART VII, you would be much better off with A KILLING AFFAIR. But, then, that's not saying much.
Peter Reiher<EMAIL_ADDRESS>. . . cit-vax!elroy!jplpub1!jade!reiher
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Time when I got stuck on a problem
I found it difficult during the sprint three board game exercise, where we were required to assign the total number of
dots to the right property so that the total number of dots updates as soon as a user clicks on the dots.
Before finding the solution on the web, I tried to do everything I thought would work, but I couldn't solve the problem.
I used a hint from the readme file to Google, and I went on a few different websites looking for a solution, but I still
couldn't solve the problem. Some of the solutions on Google matched with my existing code, but that was not the right
solution for me, which made me feel frustrated. After failing numerous times, I went on Slack to find if someone else
had the same problem as I did. I went through the discussion board and realised where the mistake was. The mistake was
small, and I realised although I need to try and fix the error myself, I shouldn't waste too many hours. Instead, I
should seek help.
Time when I solved a problem in an elegant way.
When I was working on the built-in
methods kata, I was stuck with the second function "capitalize" where I needed to write a code which makes the first
letter of each word capital.
I went online, did my research, and I found the piece of code from stack overflow that would help solve my problem. To
understand that code I researched on all the methods. When I used that code, I didn't get the desired result. I knew
that the code is right, so, now I needed to find the mistake in my existing code. I had a for loop to get array elements
so, I used console.log technique to see what am I getting back from an array. I found out that instead of receiving a
whole string, I was getting characters one by one in "". I removed the for loop from my function and assigned a function
argument into a variable. Then I used console.log again to check if I am receiving a whole sentence, and I did. I ran my
code after making all the changes, and it worked. I learned that I don't always need a for loop to receive elements of
an array.
Problem solving techniques and process


Before Change
def append(self, state, action, reward):
// Add state, action and reward at time t
self.timesteps.append(self.t)
self.states.append(state[-1].mul(255).byte().cpu()) // Only store last frame and discretise to save memory
self.actions.append(action)
self.rewards.append(reward) // Technically from time t + 1, but kept at t for all buffers to be in sync
self.nonterminals.append(True)
self.t += 1
self.priorities.append(max(self.priorities.max, 1)) // Store new transition with maximum priority (or use initial priority 1)
// Add empty state at end of episode
After Change
def append(self, state, action, reward):
state = state[-1].mul(255).byte().cpu() // Only store last frame and discretise to save memory
// Store new transition with maximum priority (or use initial priority 1)
self.transitions.append(Transition(self.t, state, action, reward, True), max(self.transitions.max, 1))
self.t += 1
// Add empty state at end of episode


• Students develop a strong foundation in programming concepts in various environments.
• Students acquire the confidence to be self learners and explore advance concepts and technologies.
• Students observe first hand careers in software development through participation in work based and career readiness experiences.
• Students gain valuable workforce skills such as collaboration, project management and communication.
In collaboration with industry professionals and university partners, students receive an education that is career focused and prepares them for post-secondary education in computer science and STEM related fields.
Learn MoreStudents experience and apply what they are learning in the classrooms through various work based and post secondary education experiences such as guest speakers, site visits and internships.
Learn MoreStudent complete a culminating capstone project to demonstrate their expertise, must pass a standard industry based certification. Students develop essential technical and workforce skills.
Learn MoreOur CTE program in Computer Programming offers several benefits including:
All this is made possible through the continuous collaboration of industry partners, post secondary partners, alumni, high school faculty and the various organizations that see the need and opportunity for change.
To find out more about or to get involved please feel free to contact us. It is only through the combined efforts of passionate and motivated individuals that we are able to provide such a unique opportunity to our students.


Test of dynamically changing images or removing & re-applying the cropper
image: Castle Flower
x1:
y1:
x2:
y2:
width:
height


Unit 8: Introduction to Mixed-Effects Models
In this set of notes, you will learn the conceptual ideas behind linear mixed-effects models, also called multilevel models or hierarchical linear models.
Preparation
Before class you will need to read the Relational data chapter from following:
- Grolemund, G., & Wickham, H. (2017). R for Data Science: Visualize, model, transform, tidy, and import data. **. Sebastopol, CA: O’Reilly.
Focus on the information on mutating joins.
8.1 Dataset and Research Question
In this set of notes, we will use data from two files, the netherlands-students.csv file and the netherlands-schools.csv files (see the data codebook here). These data include student- and school-level attributes, respectively, for \(n_i=2287\) 8th-grade students in the Netherlands.
# Load libraries
library(broom)
library(dplyr)
library(ggplot2)
library(lme4) #for fitting mixed-effects models
library(readr)
library(sm)
# Read in student-level data
student_data = read_csv(file = "~/Documents/github/epsy-8252/data/netherlands-students.csv")
head(student_data)
# A tibble: 6 x 8
student_id school_id language_pre language_post ses verbal_iq female
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 17001 1 36 46 23 3.17 0
2 17002 1 36 45 10 2.67 0
3 17003 1 33 33 15 -2.33 0
4 17004 1 29 46 23 -0.834 0
5 17005 1 19 20 10 -3.83 0
6 17006 1 22 30 10 -2.33 0
# … with 1 more variable: minority <dbl>
# Read in school-level data
school_data = read_csv(file = "~/Documents/github/epsy-8252/data/netherlands-schools.csv")
head(school_data)
# A tibble: 6 x 6
school_id school_type public school_ses school_verbal_iq school_minority
<dbl> <chr> <dbl> <dbl> <dbl> <dbl>
1 15 Catholic 0 18 -0.334 25
2 36 Catholic 0 20 -0.138 0
3 40 Catholic 0 23 0.652 0
4 42 Catholic 0 24 -0.0126 0
5 44 Catholic 0 14 -0.634 20
6 47 Catholic 0 11 -3.52 8
We will use these data to explore the question of whether verbal IQ scores predict variation in post-test language scores.
8.2 Join the Student- and Classroom-Level Data
Before analyzing the data, we need to join, or merge, the two datasets together. To do this, we will use the left_join()
function from the dplyr package. dplyr includes six different join functions. You can read about several different join functions here.
joined_data = left_join(student_data, school_data, by = "school_id")
head(joined_data)
# A tibble: 6 x 13
student_id school_id language_pre language_post ses verbal_iq female
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 17001 1 36 46 23 3.17 0
2 17002 1 36 45 10 2.67 0
3 17003 1 33 33 15 -2.33 0
4 17004 1 29 46 23 -0.834 0
5 17005 1 19 20 10 -3.83 0
6 17006 1 22 30 10 -2.33 0
# … with 6 more variables: minority <dbl>, school_type <chr>,
# public <dbl>, school_ses <dbl>, school_verbal_iq <dbl>,
# school_minority <dbl>
8.3 Fixed-Effects Regression Model
To examine the research question of whether verbal IQ scores predict variation in post-test language scores, we might regress language scores on the verbal IQ scores using the lm()
function. The lm()
function fits a fixed-effects regression model.
lm.1 = lm(language_post ~ 1 + verbal_iq, data = joined_data)
# Model-level output
glance(lm.1)
# A tibble: 1 x 11
r.squared adj.r.squared sigma statistic p.value df logLik AIC
<dbl> <dbl> <dbl> <dbl> <dbl> <int> <dbl> <dbl>
1 0.372 0.372 7.14 1353. 5.02e-233 2 -7739. 15484.
# … with 3 more variables: BIC <dbl>, deviance <dbl>, df.residual <int>
# Coefficient-level output
tidy(lm.1)
# A tibble: 2 x 5
term estimate std.error statistic p.value
<chr> <dbl> <dbl> <dbl> <dbl>
1 (Intercept) 40.9 0.149 274. 0.
2 verbal_iq 2.65 0.0722 36.8 5.02e-233
The model-level summary information suggests that differences in verbal IQ scores explains 37.2% of the variation in post-test language scores, \(F(1,2285)=1352.84\), \(p<0.001\). The estimated intercept suggests that the average predicted post-test language scores for students with a mean verbal IQ score (= 0) is 40.93 (\(p<.001\)). The estimated slope indicates that each one-point difference in verbal IQ score is associated with a difference in post-test language scores of \(2.65\), on average (\(p<.001\)). To have faith in the analytic results from this model, we need to evaluate whether the assumptions are satisfied.
8.3.1 Residual Analysis
# Obtain the fortified data frame
out = augment(lm.1)
head(out)
# A tibble: 6 x 9
language_post verbal_iq .fitted .se.fit .resid .hat .sigma .cooksd
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 46 3.17 49.3 0.273 -3.34 1.46e-3 7.14 1.60e-4
2 45 2.67 48.0 0.243 -3.01 1.16e-3 7.14 1.04e-4
3 33 -2.33 34.7 0.225 -1.74 9.94e-4 7.14 2.96e-5
4 46 -0.834 38.7 0.161 7.28 5.08e-4 7.14 2.65e-4
5 20 -3.83 30.8 0.314 -10.8 1.94e-3 7.14 2.21e-3
6 30 -2.33 34.7 0.225 -4.74 9.94e-4 7.14 2.20e-4
# … with 1 more variable: .std.resid <dbl>
# Normality
sm.density(out$.std.resid, model = "normal", xlab = "Standardized residuals")
# All other assumptions
ggplot(data = out, aes(x = .fitted, y = .std.resid)) +
geom_point() +
geom_hline(yintercept = 0) +
theme_bw() +
xlab("Fitted values") +
ylab("Standardized residuals")
The assumption that the mean residual is 0 seems reasonably satisfied, however those of normality and homoscedasticity seem less feasible, especially given the large sample size. More importantly, the assumption of independence (which we don’t evaluate from the common residual plots) is probably not tenable. Students’ post-test language scores (and thus the residuals) are probably correlated within schools—this is a violation of independence which assumes that the correlation between student’s residuals is 0. If we have a variable that identifies classroom, we can actually examine this by plotting the residuals separately for each classroom.
In our case, we do have a variable that identifies classroom (school_id
). We need to mutate this variable into the augmented dataset. This variable has 131 different levels, which means that we would be looking at 131 different residual plots. When we use facet_wrap()
with that many levels each plot will be too small to see, so we will instead select a random sample of, say, 25 of the classrooms to evaluate.
# Make random sample reproducible
set.seed(100)
# Draw random sample of 25 schools without replacement
my_sample = sample(school_data$school_id, size = 25, replace = FALSE)
# Mutate on school ID and draw random sample
out = out %>%
mutate(school_id = joined_data$school_id) %>%
filter(school_id %in% my_sample)
### Show residuals by school
ggplot(data = out, aes(x = .fitted, y = .std.resid)) +
geom_point() +
geom_hline(yintercept = 0) +
theme_bw() +
xlab("Fitted values") +
ylab("Studentized residuals") +
facet_wrap(~school_id, nrow = 5)
The residuals for several of the schools show a systematic trends of being primarily positive or negative within schools. For example, the residuals for several schools (e.g., 47, 256 258) are primarily negative. This is a sign of non-independence of the residuals. If we hadn’t had the school ID variable we could have still made a logical argument about this non-independence via substantive knowledge. For example, students who attend a “high performing” will likely tend to have positive residuals (scores above average relative to the population), even after accounting for their verbal IQ scores.
To account for this within-school correlation we need to use a statistical model that accounts for the correlation among the residuals within schools. This is what mixed-effects models bring to the table.
Another benefit of using mixed-effects models is that we also get estimates of the variation accounted for at both the school- and student-levels. This disaggregating of the variation allows us to see which level is explaining more variation and to study predictors appropriate to explaining that variation. For example, suppose that you disaggregated the variation in language scores and found that:
- 96% of the variation in these scores was at the student-level, and
- 3% of the variation in these scores was at the classroom-level, and
- 1% of the variation in these scores was at the school-level.
By including school-level or classroom-level predictors in the model, you would only be “chipping away” at that 1% or 3%, respectively. You should focus your attention and resources on student-level predictors!
8.4 Conceptual Idea of Mixed-Effects Models
In this section we will outline the conceptual ideas behind mixed-effects models by linking the ideas behind these models to the conventional, fixed-effects regression model. It is important to realize that this is just conceptual in nature. Its purpose is only to help you understand the output you get from a mixed-effects model analysis.
To begin, we remind you of the fitted equation we obtained earlier from the fixed-effects regression:
\[ \hat{\mathrm{Language~Score}_i} = 34.19 + 2.04(\mathrm{Verbal~IQ}_i) \]
Mixed-effects regression actually fits a global model (like the one above) AND a school-specific model for each school. Conceptually, this is like fitting a regression model for each school separately. Below I show the results (for 5 of the schools) of fitting a different regression model to each school, but keep in mind that this is only to help you understand.
# Fit school models
school_models = joined_data %>%
group_by(school_id) %>%
do(mod = lm(language_post ~ 1 + verbal_iq, data = .)) %>%
tidy(mod) %>%
head(., 10)
# View coefficients from fitted models
school_models
# A tibble: 10 x 6
# Groups: school_id [5]
school_id term estimate std.error statistic p.value
<dbl> <chr> <dbl> <dbl> <dbl> <dbl>
1 1 (Intercept) 39.8 1.58 25.1 3.16e-18
2 1 verbal_iq 2.24 0.541 4.14 3.98e- 4
3 2 (Intercept) 27.4 4.18 6.54 1.25e- 3
4 2 verbal_iq 1.28 1.22 1.06 3.40e- 1
5 10 (Intercept) 38.1 2.82 13.5 8.79e- 4
6 10 verbal_iq 5.76 1.43 4.02 2.76e- 2
7 12 (Intercept) 36.1 3.82 9.46 3.43e- 7
8 12 verbal_iq 2.18 1.42 1.54 1.48e- 1
9 15 (Intercept) 32.1 3.85 8.34 1.61e- 4
10 15 verbal_iq 3.71 1.71 2.16 7.36e- 2
As an example, let’s focus on the fitted model for School 1.
\[ \hat{\mathrm{Language~Score}_i} = 39.79 + 2.24(\mathrm{Verbal~IQ}_i) \]
Comparing this school-specific model to the global model, we find that School 1’s intercept is higher than the intercept from the global model (by 5.65) and it’s slope is also higher than the slope from the global model (by 0.20). We can actually re-write the school-specific model using these ideas:
\[ \hat{\mathrm{Language~Score}_i} = \bigg[34.19 + 5.65\bigg] + \bigg[2.04 + 0.20\bigg](\mathrm{Verbal~IQ}_i) \]
In the language of mixed-effects modeling:
- The global intercept and slope are referred to as fixed-effects. (These are also sometimes referred to as between-groups effects.)
- The fixed-effect of intercept is \(34.19\); and
- The fixed effect of the slope is \(2.04\).
- The school-specific deviations from the fixed-effect values are referred to as random-effects. (These are also sometimes referred to as within-groups effects.)
- The random-effect of the intercept for School 1 is \(+5.65\); and
- The random-effect of the slope for School 1 is \(+0.20\).
Note, each school could potentially have a different random-effect for intercept and slope. For example, writing the team-specific fitted equation for School 2 in this manner,
\[ \begin{split} \hat{\mathrm{Language~Score}_i} &= 27.35 + 1.28(\mathrm{Verbal~IQ}_i)\\ &= \bigg[34.19 - 6.84\bigg] + \bigg[2.04 - 0.76\bigg](\mathrm{Verbal~IQ}_i).\\ \end{split} \]
In this model:
- The fixed-effects (global effects) are the same as they were for School 1.
- The fixed-effect of intercept is \(34.19\); and
- The fixed effect of the slope is \(2.04\).
- The random-effect of intercept for School 2 is \(-6.84\).
- The random-effect of slope for School 2 is \(-0.76\).
8.5 Fitting the Mixed-Effects Regression Model in Practice
In practice, we use the lmer()
function from the lme4 library to fit mixed-effect regression models. This function will essentially do what we did in the previous section, but rather than independently fitting the team-specific models, it will fit all these models simultaneously and make use of the information in all the clusters (schools) to do this. This will result in better estimates for both the fixed- and random-effects.
The syntax looks similar to the syntax we use in lm()
except now we split it into two parts. The first part of the syntax gives a model formula to specify the outcome and fixed-effects included in the model. This is identical to the syntax we used in the lm()
function. In our example: language_post ~ 1 + verbal_iq
indicating that we want to fit a model that includes fixed-effects for both the intercept and the effect of verbal IQ score.
We also have to declare that we want to fit a model for each school. To do this, we will include a random-effect for intercept. (We could also include a random-effect of verbal IQ, but to keep it simpler right now, we only include the RE of intercept.) The second part of the syntax declares this: (1 | school_id)
. This says fit school-specific models that vary in their intercepts. This is literally added to the fixed-effects formula using +
. The complete syntax is:
# Fit mixed-effects regression model
lmer.1 = lmer(language_post ~ 1 + verbal_iq + (1 | school_id), data = joined_data)
To view the fixed-effects, we use the fixef()
function.
fixef(lmer.1)
(Intercept) verbal_iq
40.608 2.488
This gives the coefficients for the fixed-effects part of the model (i.e., the global model),
\[ \hat{\mathrm{Language~Score}_{ij}} = 40.61 + 2.49(\mathrm{Verbal~IQ}_{ij}) \]
Note that the notation now includes two subscripts. The i subscript still indicates the ith student, and the new j subscript indicates that the student was from the jth school. Since we accounted for school in the model (schools are allowed to have different intercepts) we need to now identify that in the equation. We interpret these coefficients from the fixed-effects equation exactly like lm()
coefficients. Here,
- The predicted average post-test language score for students with a mean verbal IQ score (=0) is 40.61.
- Each one-point difference in verbal IQ score is associated with a 2.49-point difference in language scores, on average.
To view the school-specific random-effects, we use the ranef()
function (only the first 5 rows are shown).
ranef(lmer.1)
$school_id
(Intercept)
1 -0.37573940
2 -6.04469893
10 -3.66481710
12 -2.91463441
15 -5.74351132
The random-effects indicate how the school-specific intercept differs from the overall average intercept. For example, the intercept for School 1 is approximately 0.38-points lower than the average intercept of 40.61 (the fixed-effect). This implies that, on average, students from School 1 with a mean verbal IQ score (=0) have an average post-test language score that is 0.38-points lower than their peers who also have a mean verbal IQ score.
From the estimated fixed- and random-effects, we can re-construct each school-specific fitted equation if we are so inclined. For example, to construct the school-specific fitted equation for School 1, we combine the estimated coefficients for the fixed-effects and the estimated random-effect for School 1:
\[ \begin{split} \hat{\mathrm{Language~Score}_{i}} &= \bigg[ 40.61 -0.376 \bigg]+ 2.49(\mathrm{Verbal~IQ}_{i}) \\[1ex] &= 40.2 + 2.49(\mathrm{Verbal~IQ}_{i}) \end{split} \]
In this notation, the j part of the subscript is dropped since j is now fixed to a specific school; \(j=1\).
8.6 Example 2: Life Satisfaction of NBA Players
As a second example, we will explore the question of whether NBA players’ success is related to life satisfaction. To do this, we will use two datasets, the nba-player-data.csv and nba-team-data.csv file (see the data codebook here). These data include player- and team-level attributes for \(n=300\) players and \(n=30\) teams, respectively. To begin, we will import both the player-level and team-level datasets and then join them together.
# Read in player-level data
nba_players = read_csv(file = "~/Documents/github/epsy-8252/data/nba-player-data.csv")
# Read in team-level data
nba_teams = read_csv(file = "~/Documents/github/epsy-8252/data/nba-team-data.csv")
# Join the datasets together
nba = nba_players %>%
left_join(nba_teams, by = "team")
head(nba)
# A tibble: 6 x 6
player team success life_satisfacti… coach coach_experience
<chr> <chr> <dbl> <dbl> <chr> <dbl>
1 Daniel Ham… Atlanta … 0 12.1 Lloyd Pi… 0
2 Alex Poyth… Atlanta … 0 13.5 Lloyd Pi… 0
3 Jaylen Ada… Atlanta … 0 18.8 Lloyd Pi… 0
4 Miles Plum… Atlanta … 0 18 Lloyd Pi… 0
5 PJ Dozier Boston C… 0 12.2 Brad Ste… 2
6 Ed Davis Brooklyn… 0 16 Kenny At… 1
We want to fit a model that regresses the life_satisfaction
scores on the success
values. In these data, however, we might expect that the life satisfaction of players is correlated within team. To account for that fact, we can include a random-effect of intercept in our regression model.
8.6.1 Fit the Mixed-Effects Model
Below we fit a mixed-effects regression model to predict variation in life satisfaction scores that includes success as a predictor. We also include a random-effect of intercept to account for the within-team correlation of life satisfaction scores. The statistical model is:
\[ \mathrm{Life~Satisfaction}_{ij} = \bigg[\beta_0 + b_{0j} \bigg] + \beta_1(\mathrm{Success}_{ij}) + \epsilon_{ij} \]
We fit the model using lmer()
as:
# Fit model
lmer.1 = lmer(life_satisfaction ~ 1 + success + (1 | team), data = nba)
We can then extract the fixed-effects estimates using the fixef()
function.
# Get fixed-effects
fixef(lmer.1)
(Intercept) success
11.575 1.666
We write the fitted fixed-effects model as:
\[ \hat{\mathrm{Life~Satisfaction}}_{ij} = 11.57 + 1.67(\mathrm{Success}_{ij}) \]
Again, we can interpret these fixed-effects estimates the same way we do any other regression coefficient.
- The predicted average life satisfaction for NBA players with a success score of 0 (free-throw percentage in the lowest 20%) is 11.57.
- Each one-unit difference in success (one-quantile difference) is associated with a 1.67-point difference in life satisfaction score, on average.
If we are interested in the fitted model for a SPECIFIC team, we can extract the random-effect of intercept for that team and add it to the fixed-effect intercept estimate. For example, the equation for the Minnesota Timberwolves is:
# Obtain random-effects
ranef(lmer.1)
$team
(Intercept)
Atlanta Hawks 2.7474
Boston Celtics 5.3594
Brooklyn Nets 4.1005
Charlotte Hornets 1.1515
Chicago Bulls -3.4811
Cleveland Cavaliers 0.9739
Dallas Mavericks -6.1708
Denver Nuggets 4.0877
Detroit Pistons -2.3659
Golden State Warriors -1.8955
Houston Rockets -2.3038
Indiana Pacers -1.4244
Los Angeles Clippers 5.5528
Los Angeles Lakers -5.0071
Memphis Grizzlies 0.6391
Miami Heat 0.6749
Milwaukee Bucks -5.8198
Minnesota Timberwolves 3.6616
New Orleans Pelicans -1.3426
New York Knicks -1.9479
Oklahoma City Thunder -1.5291
Orlando Magic -3.4961
Philadelphia 76ers 4.6167
Phoenix Suns -6.1341
Portland Trail Blazers 0.3600
Sacramento Kings -3.4140
San Antonio Spurs 0.1794
Toronto Raptors 3.8491
Utah Jazz 6.2954
Washington Wizards 2.0828
\[ \begin{split} \hat{\mathrm{Life~Satisfaction}}_{i} &= \bigg[11.57 + 3.66 \bigg] + 1.67(\mathrm{Success}_{i}) \\[1ex] &= 15.23 + 1.67(\mathrm{Success}_{i}) \end{split} \]
For Timberwolves players,
- The predicted average life satisfaction for Timberwolves players with a success score of 0 (free-throw percentage in the lowest 20%) is 15.23. This is a score that is 3.66 points above average for all NBA players with a success score of 0.
- Each one-unit difference in success is associated with a 1.67-point difference in life satisfaction score for Timberwolves players, on average. This is the same rate-of-change as for NBA players in general.
As a comparison, we can also consider the equation for the Phoenix Suns:
\[ \begin{split} \hat{\mathrm{Life~Satisfaction}}_{i} &= \bigg[11.57 - 6.13 \bigg] + 1.67(\mathrm{Success}_{i}) \\[1ex] &= 5.44 + 1.67(\mathrm{Success}_{i}) \end{split} \]
- The predicted average life satisfaction for Suns players with a success score of 0 (free-throw percentage in the lowest 20%) is 5.44. This is a score that is 6.13 points below average for all NBA players with a success score of 0.
- Each one-unit difference in success is associated with a 1.67-point difference in life satisfaction score for Suns players, on average. This is the same rate-of-change as for NBA players in general.
Comparing these two team’s equations gives us some insight into why the effects are referred to as fixed-effects or random-effects.
\[ \begin{split} \mathbf{Timberwolves:~}\hat{\mathrm{Life~Satisfaction}}_{i} &= \bigg[11.57 + 3.66 \bigg] + 1.67(\mathrm{Success}_{i}) \\[1ex] \mathbf{Suns:~}\hat{\mathrm{Life~Satisfaction}}_{i} &= \bigg[11.57 - 6.13 \bigg] + 1.67(\mathrm{Success}_{i}) \\[1ex] \end{split} \]
In the two equations, the fixed-effects of intercept (11.57) and success (1.67) are represented in both equations; they are fixed. On the other hand, the random-effect is different for each team. Since we included a random-effect of intercept in out model, this means that the intercept value for each team equation will be different.


England EURO Qualifiers With Comfortable Win
by SL InternationalEURO 2020 Qualifier
Result: Kosovo 0-4 England
Date: 17 November 2019
Venue: Stadiumi Fadil Vokrri
Group A leaders England wrapped up their 2020 European Championship qualifying campaign with a 4-0 win over Kosovo on Sunday evening.
Three Lions manager Gareth Southgate rotated the squad for the clash, with Raheem Sterling returning while Callum Hudson-Odoi was also given a chance to impress in the starting line-up.
England were initially battling to break the stubborn Kosovo defence and their first clear opening only came in the 15th minute after Sterling was teed up by Harry Kane inside the box but his fierce strike was saved by shot-stopper Arijanet Muric.
However, after numerous attacks from the visitors, Kosovo finally opened up at the back in the 32nd minute after Harry Winks dribbled his way to go clear inside the box and calmly slot beyond the reach of Muric.
Bernard Challandes' troops were having a good attacking spell after the hour-mark, with England weathering the storm and they nearly levelled matters 15 minutes before time after Milot Rashica went clear and got past Pop, but his shot was cleared on the line by Declan Rise.
Kane finally settled the nerves for the Three Lions after making it 2-0 in the last 11 minutes with a volley at the back post after Fidan Aliti made a horrible clearance that landed at the feet of the England skipper.
Second-half substitute Marcus Rashford bagged the visitors' third goal four minutes later with a first-time finish past Muric after being played in by Sterling.
Mason Mount rounded off the thrashing in stoppage time with a neat finish into the bottom corner after Kane pounced on a mistake at the back and teed up the Chelsea midfielder.


Keremeos RCMP officer rescues stuck moose
by Steve ArstadKeremeos RCMP were called to perform a rather unusual task earlier this month.
On Nov. 7 around 6 p.m., Keremeos RCMP Const. Matthew Groen was called by a member of the public to assist after a young moose was discovered with its leg caught in a barb-wire fence along Highway 3A, north of Ollala, according to an RCMP media release.
Bystanders told the officer they believed the young moose’s mother was nearby and reluctant to move along. The officer checked out the situation before returning to the Keremeos detachment for some bolt cutters which he was able to use to free the young animal.
The moose was last seen running back into the brush.
“Officers working in remote detachments often have to use their ingenuity to problem solve unique situations on their own,” police spokesperson Const. James Grandy said in the release.
He said stories such as these are the “good news stories the public rarely hears about.”


we are an information technology company, based in Lisbon-Portugal specialized in consulting, in software development, cyber information security and Artificial Intelligence Products.We are a multicultural organization with different nationalities among us that allows varied approaches for the projects we work on.
We intend to be a national and international reference in the information technology segment due to the efficiency, effectiveness and innovation of solutions and to create a long-term relationship with our partners and investors.
In addition, we are committed to offering rewarding career opportunities to employees in all technological sectors.
With a constant investment, we intend to fulfill our mission of ensuring that the development of solutions and services provided by our organization correspond to the expectations of our customers and Providing new technological trends and captivating both technical and individual and collective skills in the field of ICTs.
Our journey is to ensure high value-added deliveries, which will optimize your company's routines and facilitate the workflow with quality management.
Always be honest, with everyone without exception. Admit the mistakes and value the achievements!
Always be honest, with everyone without exception. Admit the mistakes and value the achievements!
We are passionate about technology and we use it to achieve our goals, improve what we are today and what we do tomorrow.
The confidence between our customers is one of the pillars that we believe are part of building a successful relationship.
We work with small, medium and large companies, offering computer security, solutions, technical consultancy and specialized analysis.
Defensive teams from companies and administrations today face an increase and a complexification of attacks.
CIRGROUP offers expertise in the management and improvement of security incident prevention, detection and response services. Our role is to offer the best software products and technological services.


This program is currently broken. See NodeRoutesReact03.
Convert NodeRoutes01 to use React. This version of the program is problematic for two reasons:
See NodeRoutesReact02 for the resolution of these issues.
I've kept this program, despite its flaws, because it demonstrates some ways to convert existing jQuery projects into React projects. Sometimes it is not possible to convert all the modules of your project completely to a new paradigm, but this helps us get started on the conversion. At times I think it is also useful to see partially converted projects because it helps us understand what parts of a new technology, do what. "Oh, I see, we can still manipulate the DOM with jQuery, it is just that React provides a better way to do it."


dEdx
dEdx status MC/Anchor
dEdx status MC
dEdx status Anchor
MC/Anchor: Mean MIP dEdx
MC/Anchor: Mean el. dEdx
Electron/MIP separation
d(dEdx)/dTheta
d(dEdx)/dTheta A side
d(dEdx)/dTheta C side
mipToEleSeparation/a>
Resolution of MIPs/a>
Resolution of electron MIPs/a>


MINE SWEEPER
Begginer
Medium
Expert
😃
0
UNDO
Lives left:
3
x
You're blown up!!!
You have
more lives
🖐
🖐
🖐
🥉Begginer best time:
🥈Medium best time:
🥇Expert best time:
Safe Click
Clicks available:
3
Manually create
Mines left:
Now you can play!


Data Sync SDK for Native Android and iOS
The Data Sync feature for the Android and iOS SDKs is satisfied by community supported Apollo GraphQL clients. Clients provide range of features
-
Query Pulling capabilities
-
Real time data synchronization using subscriptions
-
Offline storage using cache
-
Initializing offline data
Limitations
What is not supported out of the box is an data edits (mutations). Developers can detect network errors in their apps and let user manualy reattempt by sending them later.
Both IOS and Android provide offline database that is read only.when offline and can be synced by subscriptions. Frameworks do not offer data difference information but developers can get that by utilizing debezium - or any event queue that will persist history of changes.
General information for GraphQL can be found here: https://www.howtographql.com/
Features
Query
Communicating with the GraphQL server starts with creating and configuring the Apollo client. This is accomplished by using the Apollo client for Android and iOS.
Performing queries against the custom GraphQL schema requires the use of an Android Apollo client object. Information on how to use the Apollo client is at https://www.apollographql.com/docs/android/essentials/queries/
Example app: https://github.com/apollographql/frontpage-ios-app
Performing queries against the custom GraphQL schema requires the use of an Apollo client object. Information on how to use the Apollo client is at https://www.apollographql.com/docs/ios/fetching-queries/
Mutations
Mutating data (CRUD operations) against the custom GraphQL schema.
Inserting, modifying, and deleting data (mutations) against the custom GraphQL schema requires the use of an android Apollo client object. Information on how to use the Apollo client to query data is at https://www.apollographql.com/docs/android/essentials/mutations/
Inserting, modifying, and deleting data (mutations) against the custom GraphQL schema requires the use of an Android Apollo client object. Information on how to use the Apollo client for mutations is at https://www.apollographql.com/docs/ios/mutations/
File Upload
The Apollo client can also be used to upload file from a mobile Android and iOS device.
Uploding files from a mobile client against the custom GraphQL schema requires the use of an Android Apollo client object. Information on how to use the Apollo client to upload files is at https://github.com/apollographql/apollo-android#support-file-upload
Uploding files from a mobile client against the custom GraphQL schema requires the use of an iOS Apollo client object. Information on how to use the Apollo client to upload is at https://www.apollographql.com/docs/ios/
Realtime Updates
The Apollo GraphQL clients support realtime updates, however, these features are not widely documented in the official documentation
Apollo GraphQL supports subscriptions to realtime updates. Information on how to use the Apollo client for subscriptions is https://medium.com/@abody/apollo-graphql-and-kotlin-create-a-back-to-back-subscription-system-860b51389179
Apollo GraphQL supports subscriptions to realtime updates. Information on how to use the Apollo client to subscribe for data is at https://stackoverflow.com/questions/51720378/how-to-implement-graphql-subscription-using-apollo-ios-client
Additional Information
-
Client SDK information: https://blog.apollographql.com/one-graphql-client-for-javascript-ios-and-android-64993c1b7991
-
Information on the Apollo GraphQL client for android can be found here: appollo client for android.
-
Red Hat Product extensions for GraphQL https://github.com/aerogear/graphql-home


HERCULES
HERCULES may bear little more resemblance than the name of the Greek hero we read about in school but it nevertheless is the recounting of a heroic effort. And it tells the young who will love the film that you do not call someone a hero because he can perform feats of strength; true heroism, Father Zeus tells son Hercules, involves feats of the heart. That message is delivered in this palatable animation that involves humor mixed with some irreverence.
The film opens with a Greek chorus (the Muses) relating the latest on the celebration of the birth of Hercules on Mt. Olympus where the Greek gods live. Zeus, a proud daddy, gives his son a winged horse named Pegasus as both he and his wife Hera beam at their infant son and Pegasus cuddling.
With the appearance of Hades we are made aware that there is a plot afoot to have the Lord of the Underworld, usurp the throne from Zeus. The Fates told Hades that in 18 years, when the planets align, it will be the most propitious time to take over. However, they warn him, that unless Hercules is in some way out of the picture, Hades' attempt will not succeed. Aided by his two dimwitted monsters, Pain and Panic, Hades has baby Hercules kidnapped. A drug deprives him of his godliness, turning him into a mere mortal, but the monsters fail to deprive him of his super-human strength.
Something tells our hero that he is "different." Determined to find out why he feels that way, he goes to a statue of Zeus who suddenly comes to life, and now father and son are at last re-united. It is then that Zeus tells his young son he can only return as a god to Mt. Olympus if he does something heroic on Earth. He also advises him to get help from the legendary hero-trainer, Philoctetes, affectionately known as "Phil." This is one of the highlights of the film with the animation of Phil looking exactly like Danny DeVito, the distinctive voice of Phil and the source of much of the film's humor. Great casting.
 Before "Meg" can do Hercules any harm as per her boss' bidding she realizes she has fallen in love with our hero.
Voices of the many wonderful animated characers are supplied by Tate Donovan as the adult Hercules; Phil's voice is that of Danny DeVito, Hades voice is that of James Wood. Meg, the seductress, uses the voice of Susan Egan. Zeus and wife Hera are given voices by Rip Torn and Samantha Eggar. Pain and Panic are Bobcat Goldthwait and Matt Frewer. Voice of the Cyclops is supplied by Patrick Pinney; Hal Holbrook lends his voice to Amphitryon with Alcmene being Barbara Barrie's voice. Hydra, the octopus-like demon is given voice by Oskar Urretabizkaia.
Songs are by Alan Menken with lyrics by David Zippel. Music is fine and the lyrics are witty but I still yearn for something comparable to the songs we used to sing and hum long after we had left the theater: Give me a "Hi Ho, Hi Ho, It's off to work we go . . ."
Directed by John Musker
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Copyright 1997 Ben Hoffman
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Conventions¶
Validation checks that a WebAssembly module is well-formed. Only valid modules can be instantiated.
Validity is defined by a type system over the abstract syntax of a module and its contents. For each piece of abstract syntax, there is a typing rule that specifies the constraints that apply to it. All rules are given in two equivalent forms:
- In prose, describing the meaning in intuitive form.
- In formal notation, describing the rule in mathematical form. [1]
Note
The prose and formal rules are equivalent, so that understanding of the formal notation is not required to read this specification. The formalism offers a more concise description in notation that is used widely in programming languages semantics and is readily amenable to mathematical proof.
In both cases, the rules are formulated in a declarative manner. That is, they only formulate the constraints, they do not define an algorithm. The skeleton of a sound and complete algorithm for type-checking instruction sequences according to this specification is provided in the appendix.
Contexts¶
Validity of an individual definition is specified relative to a context, which collects relevant information about the surrounding module and the definitions in scope:
- Types: the list of types defined in the current module.
- Functions: the list of functions declared in the current module, represented by their function type.
- Tables: the list of tables declared in the current module, represented by their table type.
- Memories: the list of memories declared in the current module, represented by their memory type.
- Globals: the list of globals declared in the current module, represented by their global type.
- Locals: the list of locals declared in the current function (including parameters), represented by their value type.
- Labels: the stack of labels accessible from the current position, represented by their result type.
- Return: the return type of the current function, represented as an optional result type that is absent when no return is allowed, as in free-standing expressions.
In other words, a context contains a sequence of suitable types for each index space, describing each defined entry in that space. Locals, labels and return type are only used for validating instructions in function bodies, and are left empty elsewhere. The label stack is the only part of the context that changes as validation of an instruction sequence proceeds.
More concretely, contexts are defined as records \(C\) with abstract syntax:
In addition to field access written \(C.\mathsf{field}\) the following notation is adopted for manipulating contexts:
- When spelling out a context, empty fields are omitted.
- \(C,\mathsf{field}\,A^\ast\) denotes the same context as \(C\) but with the elements \(A^\ast\) prepended to its \(\mathsf{field}\) component sequence.
Note
We use indexing notation like \(C.\href{../valid/conventions.html#context}{\mathsf{labels}}[i]\) to look up indices in their respective index space in the context. Context extension notation \(C,\mathsf{field}\,A\) is primarily used to locally extend relative index spaces, such as label indices. Accordingly, the notation is defined to append at the front of the respective sequence, introducing a new relative index \(0\) and shifting the existing ones.
Prose Notation¶
Validation is specified by stylised rules for each relevant part of the abstract syntax. The rules not only state constraints defining when a phrase is valid, they also classify it with a type. The following conventions are adopted in stating these rules.
A phrase \(A\) is said to be “valid with type \(T\)” if and only if all constraints expressed by the respective rules are met. The form of \(T\) depends on what \(A\) is.
Note
For example, if \(A\) is a function, then \(T\) is a function type; for an \(A\) that is a global, \(T\) is a global type; and so on.
The rules implicitly assume a given context \(C\).
In some places, this context is locally extended to a context \(C'\) with additional entries. The formulation “Under context \(C'\), … statement …” is adopted to express that the following statement must apply under the assumptions embodied in the extended context.
Formal Notation¶
Note
This section gives a brief explanation of the notation for specifying typing rules formally. For the interested reader, a more thorough introduction can be found in respective text books. [2]
The proposition that a phrase \(A\) has a respective type \(T\) is written \(A : T\). In general, however, typing is dependent on a context \(C\). To express this explicitly, the complete form is a judgement \(C \vdash A : T\), which says that \(A : T\) holds under the assumptions encoded in \(C\).
The formal typing rules use a standard approach for specifying type systems, rendering them into deduction rules. Every rule has the following general form:
Such a rule is read as a big implication: if all premises hold, then the conclusion holds. Some rules have no premises; they are axioms whose conclusion holds unconditionally. The conclusion always is a judgment \(C \vdash A : T\), and there is one respective rule for each relevant construct \(A\) of the abstract syntax.
Note
For example, the typing rule for the \(\href{../syntax/types.html#syntax-valtype}{\mathsf{i32}}.\href{../syntax/instructions.html#syntax-instr-numeric}{\mathsf{add}}\) instruction can be given as an axiom:
The instruction is always valid with type \([\href{../syntax/types.html#syntax-valtype}{\mathsf{i32}}~\href{../syntax/types.html#syntax-valtype}{\mathsf{i32}}] \href{../syntax/types.html#syntax-functype}{\rightarrow} [\href{../syntax/types.html#syntax-valtype}{\mathsf{i32}}\)] (saying that it consumes two \(\href{../syntax/types.html#syntax-valtype}{\mathsf{i32}}\) values and produces one), independent of any side conditions.
An instruction like \(\href{../syntax/instructions.html#syntax-instr-variable}{\mathsf{local.get}}\) can be typed as follows:
Here, the premise enforces that the immediate local index \(x\) exists in the context. The instruction produces a value of its respective type \(t\) (and does not consume any values). If \(C.\href{../valid/conventions.html#context}{\mathsf{locals}}[x]\) does not exist then the premise does not hold, and the instruction is ill-typed.
Finally, a structured instruction requires a recursive rule, where the premise is itself a typing judgement:
A \(\href{../syntax/instructions.html#syntax-instr-control}{\mathsf{block}}\) instruction is only valid when the instruction sequence in its body is. Moreover, the result type must match the block’s annotation \([t^?]\). If so, then the \(\href{../syntax/instructions.html#syntax-instr-control}{\mathsf{block}}\) instruction has the same type as the body. Inside the body an additional label of the same type is available, which is expressed by extending the context \(C\) with the additional label information for the premise.
| [1] | The semantics is derived from the following article: Andreas Haas, Andreas Rossberg, Derek Schuff, Ben Titzer, Dan Gohman, Luke Wagner, Alon Zakai, JF Bastien, Michael Holman. Bringing the Web up to Speed with WebAssembly. Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2017). ACM 2017. |
| [2] | For example: Benjamin Pierce. Types and Programming Languages. The MIT Press 2002 |


Bill Gates was a very competitive person. So much so, that he was often called out for unfair business practices. He was sued multiple times and didn’t always end up on the winning side. Even when he lost a lawsuit, he never apologized or admitted to doing anything wrong. Instead, he used continued innovation as an excuse for unfair business practices. He had a reputation among other tech companies as a ruthless competitor. Although he did make many personal donations to different causes, and after his retirement, he started his own charitable foundation. Gates stated that religion is very important to him. He and his family go to a catholic church. He believes he owes it to the world to try and reduce the inequity because of the wealth and success he has had.
Bill Gates: "I choose a lazy person to do a hard job. Because a lazy person will find an easy way to do it."


Browser interface
Brython-specific built-in modules
Working with Brython
Brython for Firefox OS
Cookbook
|
Compiling and running
Overview
| Step | performed by |
| Reading Python source |
function brython(debug_mode) in py2js.js
If the code is in an external file, it is retrieved by an Ajax call
This function creates environment variables, including :
-
__BRYTHON__.$py_src : object indexed by module names, value is the module source code
-
__BRYTHON__.debug : debug level
-
__BRYTHON__.exception_stack : a list of errors generated during parsing or at runtime
-
__BRYTHON__.imported : a Javascript object, mapping imported module names to the matching module object
-
__BRYTHON__.modules : a Javascript object, mapping module names to module objects
-
__BRYTHON__.vars : a Javascript object, mapping module names to the dictionary of variables defined in the module
|
| creation of the tree representing the Python code |
function __BRYTHON__.py2js(source,module) in py2js.js
This function calls :
-
$tokenize(source) : syntax analysis of the tokens in Python source code and tree building ; returns the tree root
-
transform(root) : transforms the tree to prepare the conversion to Javascript (see below)
-
$add_line_num() to add line numbers if debug mode is greater than 0
The function py2js returns the tree root
|
| generating Javascript code |
method to_js() of the tree returned by py2js
This function recursively calls the method of the same name on all the syntax elements found in the tree. It returns the string holding the resulting Javascript code. If debug mode is 2, this string is printed in the browser console
|
| running Javascript code |
evaluation by the function eval() |
Files used
The script brython.js is generated by compilation of several scripts :
- brython_builtins.js : defines the object
__BRYTHON__ which acts as a gateway between Javascript native objects (Date, RegExp, Storage... ) and Brython
- version_info.js : created by the make_dist.py script, it adds information about the brython version
- py2js.js : performs the conversion from Python code to Javascript code
- py_utils.js : utility functions (eg type conversions between Javascript and Python)
- py_object.js : implements Python
object class
- py_type.js : implements Python
type class
- py_builtin_functions.js : Python built-in functions
- js_objects.js : interface to Javascript objects and constructors
- py_import.js : implementation of import
- py_float.js, py_int.js, py_complex.js, py_dict.js, py_list.js, py_string.js, py_set.js : implements the matching Python classes
- py_dom.js : interaction with the HTML document (DOM)
More on translation and running
Translation and run of a Brython script by py2js.js goes through the following steps :
- syntax analysis and tree building
This step relies on an automat whose state evolves with the tokens found in the source code
Python code is split into tokens that can have the following types :
- keyword
- identifier
- literal (string, integer, float)
- operator
- period (.)
- colon (:)
- semi colon (;)
- parenthesis / bracket / curly brace
- assignment (equal sign =)
- decorator (@)
- end of line
For each token, a call to the function $transition() is performed, it returns a new state depending on the current state and the token
Each instruction in the source code matches a node in the tree (an instance of class $Node). If a line holds more than one instruction separated by ":" (def foo(x):return x ) or by ";" (x=1;print(x) ), as many nodes are created for this line
Each syntax element (identifier, function call, expression, operator...) is handled by a class : see in the source code of py2js.js between function $AbstractExprCtx and function $UnaryCtx
In this step, errors can be reported :
- syntax errors
- indentation errors
- unterminated string literals
- unbalanced parenthesis / brackets / curly braces
- illegal character
- Python keyword not handled by Brython
- Transforming the tree
For some elements of the Python syntax, the tree representing the source code has to be modified (add branches) before starting the translation into Javascript. This is done by recursive calls to the method
transform() from the top of the tree
For instance, in the first step the Python code assert _condition_ yields a single branch of the tree. The second step transforms it into a branch if not _condition_ and adds a child branch with raise AssertionError
The elements that must be transformed this way are : assert , chained (x=y=0 ) and multiple (x,y=1,2 ) assignments, class, def, except, for, try
This step is also used to store the variables declared by global
- Running Javascript code
At runtime the generated script can use :
- the built-in classes defined in py_object.js, py_dict.js, py_string.js, py_list.js, py_set.js, py_dom.js
- internal functions, not accessible from Python (their name always starts with $) ; most of them are defined in $py_utils.js. The most important are :
-
- $JS2Py : takes a single argument and returns :
- the argument unchanged if it is a type handled by Brython (i.e. if it has an attribute __class__)
- an instance of DOMObject (respectively DOMEvent) if the argument is a DOM object (resp. event)
- an instance of JSObject "wrapping" the argument in the other cases
- $MakeArgs called at the beginning of each function if its signature has at least one argument. It builds a namespace based on the function arguments, calling the function $JS2Py on all arguments
- $class_constructor is called for class definition
- $list_comp is called for list comprehensions
- $lambda is called for anonymous functions defined by
lambda
- $test_expr and $test_item are used in evaluation of conditions combined by
and or or
- the functions defined in the script py_import.js for management of imports
|


Every word Manuel Pellegrini just said on Jose Mourinho, Spurs and West Ham's spiral in form
The manager was asked about his opposite number this weekend and a lot more besides
by Sam InkersoleAntonio and Noble fit?
Both of them worked the whole week without problem and will be involved in the game on Saturday.
Of course they are important players for us, Antonio had a long injury and makes things happen in attacking, Mark Noble is the captain of the team. They are able to play.
Thoughts on Fabianski's comments on Roberto?
Every player when they are in a bad moments need the support of the fans behind them, especially in a special position like goalkeeper.
Roberto has a lot of experience, in different countries. He knows maybe he is not playing his best performance but all of us, the fans, the staff and players, must trust in him.
Tempted to make a change?
You always have different options in your squad. Finally, after a lot of thinking about different options, we will decide what will be the starting eleven.
How concerning is the spiral in form?
It was very unexpected.
We started the last season very good, playing good and for different reasons, we must find out why we didn't continue playing the same way and to winning games.
Especially against Palace and Sheffield at home are games we deserved better results but for different reasons we didn't win and those points we are now missing. Five points more and we'd be sixth position.
The table is very tight, we must try to recover our performance as individuals and as a team and I hope this will be a good game to return to winning ways.
Fired up for Spurs?
Tottenham has a very good team with important players, that make the difference. You cannot know what has happened there but the results were not what they are used to having.
Now they have a new manager, unfortunately for Mauricio Pochettino who did a very good job over a lot of years. I don't know their reason why he was sacked.
Now they have another experienced manager in Jose that will bring important things to his team.
Do you see eye-to-eye with him?
I have answered the question a lot of times. Maybe I think a different way but he is not my enemy. Everyone has their options to play football the way they want and what they want to say.
We have different ways of thinking about it all.
Go for a drink afterwards?
Maybe. We have been a lot of times out of football together but I repeat, he is not my enemy.
Different tactics between Mourinho and Pochettino?
Well, not more difficult but different. Of course I think that the philosophy of Pochettino is not the same as the philosophy of Mourinho, but he's just in charge of the team in two days I don't think that in two days he will try to change all properly.
So we will see Tottenham playing a similar way, of course with some touches of what Mourinho's football is but that is not the most difficult problem to solve during the game. The important problem is to have a good performance as a team.
How confident are you that you can get a good performance?
I trust a lot on the players because I know and they have demonstrated a lot of times they can do it against big teams. I think that this international break was good for us, maybe we had time to talk a lot things with the players to try and arrange some other ones.
So I hope that all and especially in derby game, and we know that for our fans it's the most important game of the season playing against Tottenham at home, so I hope that tomorrow we see the West Ham that we saw at the beginning of the season.
Get the latest news on West Ham
Stay up to date with all the latest with all the latest West Ham news from Sam Inkersole and the team at football.london across our social media channels.
Twitter: You can follow our dedicated West Ham Twitter account, and our West Ham correspondent Sam Inkersole.
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Instagram: Follow our West Ham page here.
What have you talked about with the players, how do you explain what's going on?
A lot of different things, not always just one reason, I think there are several reasons why we couldn't continue playing the way we start this season I always said that first you need a good individual performance as a player and after that you have a good performance as a team.
The only way to do it is to work in every ball together, when you don't have the ball try to recover with high pace, when you have the ball trying to play.
Have you noticed a dip in confidence?
Maybe we have a bit of confidence when the things were going right, now that that we don't have the results of course there is another positive energy to try to return to those good results.
How much pressure are you under?
I think that with 33 years in this profession I know what is football. I have answered the same questions another time, for me my pressure is bigger than any pressure.
So the pressure that I feel in that moment is exactly the same as the pressure that I felt in that first day I was in charge of West Ham.
For me it was a challenge to come here, it's a challenge I want to try to grow one step more with this club not just to be fighting for relegation or trying to be in the middle of the table, I think that we try to improve and play in the way I like to play football, that's my question.
Helped what's happened with Tottenham – Mourinho's arrival taking the pressure off?
The pressure for me is to have a good team that plays good football in the way I like to do it, in the that we demonstrated the other week we can do it.
I repeat also of course Tottenham is a special game but it's not the last game – it's not for me enough to try to beat Totteham and after that you try to be in the 12, 14 and 15 positions in the table because it's not my goal as a manager so that is my challenge and now we have to play against Tottenham.
But I continue with trying to involve all the club and all the players and myself in a winning mentality and an ambitious mentality and trying to grow one step more with the club that has 60,00 fans behind you in every game.


---
title: "Recipe of Speedy Chicken Breasts Pierre Delicious"
slug: chicken-breasts-pierre
description: "Chicken Breasts Pierre Recipe - One of my husband's favorites.  Serve with pan sauces, crusty French bread and a tossed green salad.  Coat chicken breasts with flour mixture. Melt butter in a large skillet over medium heat, and brown chicken on all sides. Remove from skillet, and drain on paper towels."
- "In the same skillet, combine the tomatoes, water, brown sugar, vinegar and Worcestershire sauce. Season with salt, chili powder, mustard, celery seed, garlic and hot pepper sauce. Bring to a boil; reduce heat, and return chicken to skillet. Cover, and simmer for 35 to 40 minutes, or until chicken is tender, no longer pink and juices run clear."
categories:
- "Meat and Poultry Recipes"
- "Chicken"
- "Chicken Breast Recipes"
- "Skillet"
- "Recipes"
tags:
- "meat and poultry recipes"
- "chicken"
- "chicken breast recipes"
- "skillet"
katakunci: chicken breasts pierre, meat and poultry recipes, chicken, chicken breast recipes, skillet, .
nutrition: 246.5 calories
recipecuisine: Western
preptime: "P0DT0H30M"
cooktime: "P0DT0H40M"
totaltime: "P0DT0H70M"
recipeyield: "6 servings"
recipecategory:
- Meat and Poultry Recipes
- Chicken
- Chicken Breast Recipes
- Skillet
quotes: Food shared is happiness multiplied.
---
Chicken Breasts Pierre - Hey everyone, hope youre having an incredible day today. It is me again Intan , welcome to my recipe website. Today, I will show you a way to make a special dish, Chicken Breasts Pierre. It is one of my favorites recipes. This time, I will make it a little bit unique. This is gonna smell and look delicious.
Chicken Breasts Pierre is One of my husband's favorites.  Serve with pan sauces, crusty French bread and a tossed green salad.
Chicken Breasts Pierre is one of the most popular of current trending foods in the world. its easy, its fast, it tastes yummy. its appreciated by millions every day. It is easy, its fast, it tastes yummy. Chicken Breasts Pierre is something that I ve loved my whole life. They are fine and they look fantastic. They re fine and they look wonderful. Chicken Breasts Pierre is something that I ve loved my whole life.
Recipe of Speedy Chicken Breasts Pierre Delicious
To get started with this recipe, we must first prepare a few components. You can cook Chicken Breasts Pierre using 16 ingredients and 2 steps. Here is how you cook that.
 Coat chicken breasts with flour mixture. Melt butter in a large skillet over medium heat, and brown chicken on all sides. Remove from skillet, and drain on paper towels.
-
In the same skillet, combine the tomatoes, water, brown sugar, vinegar and Worcestershire sauce. Season with salt, chili powder, mustard, celery seed, garlic and hot pepper sauce. Bring to a boil; reduce heat, and return chicken to skillet. Cover, and simmer for 35 to 40 minutes, or until chicken is tender, no longer pink and juices run clear.
So that is going to wrap this up with this special food Chicken Breasts Pierre recipe. Thanks so much for reading. I am sure you will make this at home. There is gonna be another interesting food at home recipes coming up. Dont forget to save this page on your browser, and share it to your family, colleague and friends. Thank you for reading. Go on get cooking!
Reviews of Chicken Breasts Pierre:
-
somethingdifferentagain?! - This is my kind of dinner! Easy and a unique, yummy flavor. I thought it might be just a bbq sauce; but it is much more... It reminds me a little of Cuban food.
Some of the reviews said this was too sweet. My guess is it was their stewed tomatoes. This was not a real sweet dish with PLAIN DICED CANNED TOMATOES(instead of stewed)like I used. The idea of adding onion (esp. RED onion)sounds, to me, like it would be great; but I don't think mushrooms would work with this(and I love mushrooms). I think, a mix of sliced red onion,and red, yellow and green peppers (in the last 15 min.) steamed in the sauce, would compliment this sauce better; although the recipe is perfect just AS IT IS.
I made with white rice and stir-fried, garlicky, fresh-cracked peppered green beans to make a meal. Although, any starch (noodles, rice etc.) and any green vegetable would be excellent with it.
It made about a cup of sauce with flavorful chunks of tomato that we spooned over the chicken and rice. I made only four breasts, so I will double sauce for more servings. 'Gotta' have enough of the sauce to add to the rice!
 I have a feeling I will be making for the next 15 years, also. Thank you so much for sharing this one!
-
Aspiring Chef Rita - I would rate this even higher - these are ingredients you normally have on hand or they can easily be substituted. I scaled it to three using the exact measurements provided when scaled down. As a preference I used canned diced tomatoes, chicken broth (had it left over in the frig - water would have been fine), cayenne pepper since I didn't have hot pepper sauce. Followed other reviewers suggestions and added a small onion sliced into rings - I would never leave that out now. Also had some leftover corn in the frig which I threw in at the end. I pounded the breasts so they would be the same thickness, cooked them in 25 min. and they were incredibly moist. Keep an eye on it when it simmers - I did have to add some more broth which was fine - it held its rich, spicy flavor and was great over the rice. Another keeper. Thanks Nancy.
-
DREGINEK - VERY GOOD! Per previous reviews, I used 1/4 cup red wine and 1/4 cup water and served all over white rice. Next time, I think I will add some chopped onions and fresh mushrooms. In addition, I think I will cut the chili powder to 1 tsp instead of 2 (it overwhelmed the chicken). Overall, still really good and my family agrees that it should be on the "regular" list!
-
KeepTahoeBlue - Excellent! My husband, a professional chef, said, "This one's a keeper!" Only substitution I made was chicken broth instead of the water.
-
TORONTOMOMMY - My family loved this recipe!
I prepared this in my SLOWCOOKER browning the chicken first. (I did cut the chicken breasts in strips) I ran out of mustard powder so I used prepared mustard.It worked just as well. Because the reviews were so enthusiastic I decided to double the recipe to have lots of sauce. We had leftovers and tried this with both Whipped potatoes and small italian pasta.
Next time I would like to add some green or red pepper and some onions.
This is a real keeper! Thanks
-
Sarah Whitaker - Why am I leaving a review on a recipe with so many reviews, when nobody will probably get to read it? Because it was THAT good! SO divine I couldn't stop eating it. Put it on top of a chicken broccoli flavored rice and paired it with a salad smothered in an imitation Olive Garden dressing.  Am definitely going to have this when Pastor and family come over next!
-
KWANTUM - This recipe is one of our staples. We have been making it for the last year. We do make a couple changes though. We reduce the amount of chicken breast halves from six to two. Also, we cube the chicken.  Yummy. This will yield 2-4 servings.
-
LADYJAYPEE - I always add a chopped onion to this too for great flavor and texture. 11/1/06: This was EX-cellent! I reduced the chili powder to 1/2 the amount, used 1/2 the amount of water so that I could do the other half in WHITE WINE; the wine really made the recipe as we've since used it and forgotten the wine, and could tell the difference. An extra splash of Frank's Red Hot Sauce doesn't hurt either! I love the combination of flavors and using all of the somewhat unusual-together ingredients to get there. The meat is tender, moist, and flavorful. SO good! A definite keeper. Thanks, Nancy!
-
GUYCHEF - A fine and easy recipe. I agree with other reviewers that red wine for water and white wine for vinegar worked well. I also added fresh sliced mushrooms and sliced red onions once the simmering starts. This is such a flexible recipe that "approximate" measurements of the ingredients works fine. I little more or less of anything just gives you a different taste the next time.
-
Matthew Hicks - Nice easy recipe with great flavours but way too much salt. Id cut out the entire 2 teaspoons from the sauce as most of the time salt is already present from the soy stewed tomatoes and the flour rub.


'Paramedics of homelessness': Suzanne's 14-day-plan to help families
by Emma KoehnWatching the terror of a five-year-old girl from a homeless family made Suzanne Hopman decide Australia needed a new approach to accommodation for those without a home.
"They had just checked into a really dingy hotel, it was like something out of a horror movie. I was taking small breaths so I didn’t breathe in the smell of the room," the chief executive of Sydney social enterprise Dignity told a crowd at the Telstra National Business Awards on Thursday evening.
The small girl sat on the end of the bed, "so quietly, no tears, but a look in her eyes of pure terror I will never forget," Ms Hopman said.
With two decades' experience in the not-for-profit and homelessness sector, Ms Hopman decided to develop a housing solution with a startup approach, with homes that were well-designed for short-term stays to offer an alternative to those bleak hotel rooms.
Pledging to find families stable accommodation within 14 days of becoming homeless, Ms Hopman and co-founder Michelle Mulvihill launched a business focused on expanding corporate partnerships and involving the community to help achieve that.
Over the past year Dignity has been able to move people into more stable situations within eight days, on average, Ms Hopman said.
The founders leveraged corporate partnerships, philanthropy donations and government contracts to fund 25 crisis accommodation guest homes. Deals with other social enterprises like food waste prevention business OzHarvest have been used to supply ingredients for volunteer home cooks to deliver meals to the homes.
Four years on from its launch, and having helped 50,000 homeless Australians, Dignity took out the top prize of Business of the Year at Telstra's annual national business awards this week.
'"We are the paramedics of homelessness. The way we’ve approached it is from a very innovative mindset – harnessing all the modern technologies to throw at the problem. Social change is not for governments alone," Ms Hopman told The Sydney Morning Herald and The Age.
'It can happen to anyone'
The startup's accommodation and services are based in New South Wales, though the business is focused on breaking down incorrect assumptions about homelessness across the nation.
"Homelessness does not discriminate: it can happen to anyone," Ms Hopman said.
Dignity generated close to $1.5 million in income in 2018, according to its filings to the national charities register. It accepts donations, but the majority of its revenue comes from income related to its accommodation sites.
The startup does not apply for government grants but instead has deals with government departments to provide and pilot new ideas for crisis accommodation.
We are the paramedics of homelessness. The way we’ve approached it is from a very innovative mindset.
It's one of a number of Australian businesses in recent months to highlight the importance of having strong companies that can use their profits to achieve social change.
The company is a registered not-for-profit but operates like a traditional business, feeding any excess profits back into its projects.
"It does require the business know-how. We approach it as though we want to be the absolute best and most efficient business that we can be," Ms Hopman said.
"Every time we see someone in their new home is a time for celebration."


Gabrielle Union Reportedly Fired From ‘America’s Got
by Peace FM OnlineGabrielle Union Reportedly Fired From ‘America’s Got Talent’ for speaking out against Racism, Sexism and more
Gabrielle Union has been fired from ‘America’s Got Talent’ and there’s apparently a lot more to the story than what was officially announced.
NBC sources tell lovebscott.com exclusively her firing came as a result of her speaking up about ‘problematic’ situations.
Featured Video


Dem Rep. Mucarsel-Powell: The House Will Have to Hold Hearings to Show Americans What an Impeachable Offense IsAmericans | Breitbart
by Trent BakerRepresentative Debbie Mucarsel-Powell (D-FL), a member of the House Judiciary Committee, on Friday suggested in an interview with CNN’s “New Day” that the House would have hearings to present to the American public “what an impeachable offense is.”
Mucarsel-Powell stressed the importance to host John Berman of educating Americans what is impeachable and what is not.
“We are going to possibly have a couple of hearings to present to the American people what an impeachable offense is,” Mucarsel-Powell advised. “I think it’s important after the testimonies that we’ve heard in the past two weeks to really continue to educate the American public what is an impeachable offense and what is not. But what we have seen is the President of the United States violate the Constitution, really extort the Ukrainian government for his own private and political gain, and we can’t allow that to happen.”
Berman asked the Florida representative what that would entail, but Mucarsel-Powell said she does not have all of those details yet, adding House members think it is important to educate Americans.
Follow Trent Baker on Twitter @MagnifiTrent


{% extends "plans/base.html" %} {% load i18n %} {% block head %} {% endblock %} {% block body %}
{% blocktrans with object.completed as completed %} Payment completed on: {{ completed }} {% endblocktrans %}
{% else %} {% if object.is_ready_for_payment %} {% block payment_method %}{% blocktrans %} This order is expired. It will accept an incoming payment made earlier, but new payment cannot be initialized. Please make a new order if necessary. {% endblocktrans %}
{% endif %} {% endif %} {% if object.status == object.STATUS.NOT_VALID %}{% blocktrans %} This order could not be processed as it is not valid. Please contact with customer service. {% endblocktrans %}
{% endif %} {% endblock %}


If `person` is an instance of [`RunOrg.Person`](/people/person.htm),
then `person.Load()` fills (or replaces) its non-`id` fields with
data retrieved from the API.
Returns a [promise](/concepts/promise.htm) that will resolve to the
`person` object if it could be filled.
new RunOrg.Person("1ax69bfa335").Load().then(function(person) {
console.log("Fetched data for %s.", person.label)
})
var person = new RunOrg.Person("1ax69bfa335");
person.Load().then(function() {
console.log("Fetched data for %s.", person.label)
}, function(error) {
if (error.HTTP == 404)
console.log("Person %s not found.", person.id)
else
console.log("An error happened: %o", error)
})
Returns a [``](/people/person.htm) representation of the person with
identifier `{id}` in database `{db}`.
GET /db/0Et4X0016om/people/0Et9j0026rO
200 OK
Content-Type: application/json
{ "id" : "0Et9j0026rO",
"label" : "Victor Nicollet",
"gender" : "M",
"pic" : "https://www.gravatar.com/avatar/648e25e4372728b2d3e0c0b2b6e26f4e" }
# Errors
## Returns `404 Not Found`
- if the database does not exist,
- if person `{id}` does not exist in the database.
# Access restrictions
Anyone can view any person's basic information, if they have their identifier.


subject = "You are invited to join {{ owner }} at DMA friends!" layout = "system" == Hello {{ name }}, {{ link }} ==
Hello {{ name }},
{{ link }}


C is a general-purpose, high-level language that was originally developed by Dennis M. Ritchie to develop the UNIX operating system at Bell Labs. C was originally first implemented on the DEC PDP-11 computer in 1972.
In 1978, Brian Kernighan and Dennis Ritchie produced the first publicly available description of C, now known as the K&R standard.
The UNIX operating system, the C compiler, and essentially all UNIX application programs have been written in C. C has now become a widely used professional language for various reasons −
C was initially used for system development work, particularly the programs that make-up the operating system. C was adopted as a system development language because it produces code that runs nearly as fast as the code written in assembly language. Some examples of the use of C might be −
A C program can vary from 3 lines to millions of lines and it should be written into one or more text files with extension ".c"; for example, hello.c. You can use "vi", "vim" or any other text editor to write your C program into a file.
This tutorial assumes that you know how to edit a text file and how to write source code inside a program file.


Sample 02: Event-based Beacon Data Receiver
Does this device support Bluetooth 4.0?
Is bluetooth radio turned on?
Beacons Found:


Knuckle Bones is intended to be a bare bones abstraction layer on top of java.sql. To get started using Knuckle Bones see {@link com.jubalrife.knucklebones.v1.PersistenceFactory} and {@link com.jubalrife.knucklebones.v1.Persistence}


Robin
on 2008-10-28 18:13:54
I'm sorry I was a douche :(
Onno Marsman
on 2008-10-10 15:45:46
Never really thought of using a regular expression to test whether a string would result in an error and you're right: that would probably be a lot better. Feel free to post your suggestion, otherwise I'll have a look at it myself tomorrow.
Furthermore: is_nan in PHP behaves very differently from isNaN in javascript. Javascripts isNaN is more like the opposite of PHPs is_numeric function (Just have a look at the implementation of is_numeric in this library). So a simple wrapper to isNaN won't suffice and the extra check for the number type is needed.
The rest of the code in this function is just to generate errors in the same way PHP does. And the suggested regular expression will, of course, make this code a lot shorter.
Note that is_finite and is_infinite both contain the exact same error code. I will fix this too.
Kevin van Zonneveld
on 2008-10-10 15:05:10
@ Robin: I agree that this may look a bit elaborate, but if I remember correctly, Onno Marsman had some very good reasons for implementing it this way. I'll ask him to comment you on the specifics.
Robin
on 2008-10-10 12:05:58
... I'm sorry but this is laughable.
isNaN duplicates this functionality. Just write a wrapper.
If you're really bothered, a simple regexp could also do the trick just as easily. This is just getting on the edge of silly now.


001/* 002// This software is subject to the terms of the Eclipse Public License v1.0 003// Agreement, available at the following URL: 004// http://www.eclipse.org/legal/epl-v10.html. 005// You must accept the terms of that agreement to use this software. 006// 007// Copyright (C) 2011-2011 Pentaho and others 008// All Rights Reserved. 009*/ 010package mondrian.util; 011 012import java.util.List; 013import java.util.Map; 014 015/** 016 * Variation of Luc's SpatialValueTree. 017 * 018 *
Notes: 019 * 020 *
1. For clarity, I got rid of the of template args. We might add back 021 * say '<Q extends SpatialRegionRequest, 022 * R extends SpatialRegion, 023 * D extends SpatialDimension>' if it saves a lot of casting in client code. 024 * 025 *
2. It might be useful to introduce an interface SpatialDimensionality 026 * that represents a set of dimensions. It will certainly be useful for the 027 * implementation; however, it is not clear that it is necessary in the API. 028 * 029 *
3. In mondrian a 'region value' might be a struct that contains 030 * a weak reference to a segment in cache, and a reference to a segment 031 * in an external cache. Either of the references can be null. 032 * 033 *
4. In a SpatialRegionRequest, it might be useful to coalesce a list 034 * of values into a range (e.g. {2009, 2010, 2011} would be [2009, 2011]). 035 * 036 *
Mondrian requests currently have raw values, but converting those raw 037 * values into ranges might allow the tree to be more efficient. 038 * 039 *
Ranges could be recognized if we know all allowable values. For example, 040 * if we know the set of states, we can say that {"CA", "CO", "CT" 041 * "DE"} is equivalent to ["CA", "DE"]. 042 * A range could be recognized if the data type is discreet. For example, 043 * {2009, 2010, 2011} is equivalent to [2009, 2011] because year is an int. 044 * 045 *
5. For performance, and atomicity of operations, 046 * some of the methods might 047 * contain a callback (e.g. {@link #rollup(java.util.Map)} could take a 048 * functor that is applied when a rollup is found. But we can validate the 049 * design introducing functors just yet. 050 * 051 * @author jhyde 052 */ 053public interface SpatialValueTree2 054{ 055 /** 056 * Returns a list of all the dimensions present in this tree. 057 * 058 * @return A list of dimensions. 059 */ 060 List<SpatialDimension> getDimensions(); 061 062 /** 063 * Stores a region in this tree. 064 * 065 *
REVIEW: What is the behavior if there is another region with an equal 066 * {@link SpatialRegionRequest}? 067 * 068 * @param region Region 069 */ 070 void add(SpatialRegion region); 071 072 /** 073 * Removes a region from the tree. 074 * 075 * @param region The region key of the values to clear. 076 */ 077 void clear(SpatialRegion region); 078 079 /** 080 * Looks up all the values registered in nodes intersecting 081 * with the provided region key. 082 * 083 *
REVIEW: Does it have to PRECISELY fulfill the request, or can it 084 * be a superset? Does the return value's {@link SpatialRegion#getRequest()} 085 * method return the {@code regionRequest} parameter? (That would be 086 * expensive to implement.) Do we even need this method, or is 087 * 088 * @param regionRequest The region key inside of which to search for 089 * value nodes. 090 * 091 * @return Region fulfilling the request, or null 092 */ 093 SpatialRegion get(SpatialRegionRequest regionRequest); 094 095 /** 096 * Returns a region containing a given cell. 097 * 098 *
If there are multiple regions that contain the cell, returns just 099 * one of them. If there are no regions, returns null. 100 * 101 * @param coordinates Coordinates of cell - a value for each constraining 102 * dimension 103 * @return a region that contains the cell, or null if there is no such 104 */ 105 SpatialRegion getRegionContaining( 106 Map<SpatialDimension, Object> coordinates); 107 108 /** 109 * Returns a collection of regions that can be combined to compute a given 110 * cell. 111 * 112 *
The regions are not necessarily disjoint. Nor are they necessarily 113 * of the same dimensionality. 114 * 115 *
If multiple rollups are possible, gives the set of regions with the 116 * smallest number of cells. (It is cheaper to roll up from regions that are 117 * already highly aggregated.) 118 * 119 *
If no rollup is possible, returns null. 120 * 121 * @param dimensions Coordinates of cell 122 * @return List of spatial regions to roll up; or null 123 */ 124 List<SpatialRegion> rollup( 125 Map<SpatialDimension, Object> dimensions); 126 127 public interface SpatialDimension 128 { 129 /** 130 * Ordinal of dimension. Dimension ordinals are unique and contiguous 131 * within a tree. 132 * 133 * @return ordinal of dimension 134 */ 135 int ordinal(); 136 137 /** 138 * Declares that a particular dimension has a finite set of values. With 139 * this information, an implementation may be able to perform rollups 140 * that it would not otherwise. 141 * 142 *
For example, if the user asks for cell (year=2010, measure=sales) 143 * and the tree has regions (year=2010, gender=M, measure=sales) and 144 * (year=2010, gender=F, measure=sales) then the tree can compute the 145 * cell only if it knows that the only values of gender are {M, F}. 146 * 147 *
Returns null if the set of values is unbounded, not known, or 148 * too large to be any use in optimizing. 149 * 150 *
The values are distinct and sorted (per 151 * {@link Comparable}, and all not null. If you wish to represent a 152 * null value, use a dummy object. 153 * 154 *
The client must not modify the array. 155 * 156 * @return set of values that this dimension may have 157 */ 158 Object[] getValues(); 159 } 160 161 /** 162 * A request for a region. The request has a number of dimensions, a 163 * subset of the dimensions of the tree, and for each dimension it either 164 * requests a list of values or requests all values. 165 */ 166 public interface SpatialRegionRequest 167 { 168 /** 169 * Provides a list of the dimensions included in this 170 * region. 171 * 172 * @return Dimensions of this region 173 */ 174 List<SpatialDimension> getDimensions(); 175 176 /** 177 * Provides an array of objects describing this region's 178 * bounds within the specified dimension's axis. 179 * 180 *
The values are unique and are sorted. The client must not modify 181 * the array. 182 * 183 *
A null array means wildcard. The caller wanted all possible 184 * values of this dimension. 185 * 186 * @param dimension Dimension 187 * @return An array of the bounds touched by this region. 188 */ 189 Object[] getValues(SpatialDimension dimension); 190 191 /** 192 * Returns whether a request might contain a particular cell. 193 * 194 * @param coordinates Value for each dimension of cell's coordinates. 195 * 196 * @return Whether cell is within the bounds of this request 197 */ 198 boolean mightContainCell(Map<SpatialDimension, Object> coordinates); 199 } 200 201 public interface SpatialRegion 202 { 203 /** 204 * Returns the specification of this region. 205 * 206 * @return Region request 207 */ 208 SpatialRegionRequest getRequest(); 209 210 /** 211 * Returns the value of a cell. 212 * 213 *
Assumes that this region body is valid for the request. (That is, 214 * {@link SpatialRegionRequest#mightContainCell(java.util.Map)} would 215 * return true.) For example, suppose that the region request was 216 * 217 *
(gender=M, year=any, measure=sales)
 218 * 219 * this region body is 220 * 221 *
(gender=M, year={2009, 2010}, measure=sales)
 222 * 223 * and the cell coordinates are 224 * 225 *
(gender=F, year=2009, measure=sales)
 226 * 227 *
Because the coordinate 'gender=F' falls outside the region 228 * request, behavior is unspecified. The implementation might 229 * return null, throw an error, or return a value for the cell 230 * (gender=M, year=2009, measure=sales); any of these behaviors would 231 * be valid. 232 * 233 * @param coordinates Value for each dimension 234 * 235 * @return cell value 236 */ 237 Object getCellValue(Map<SpatialDimension, Object> coordinates); 238 239 /** 240 * Version of {@link #getCellValue(java.util.Map)} optimized for 241 * {@code int} values. 242 * 243 *
If value is null, writes 'true' into wasNull[0] and returns 0. 244 * Otherwise, does not modify wasNull. 245 * 246 * @param coordinates Value of each dimension 247 * @param wasNull 1-element array to be informed if value was null 248 * @return Value, or 0 if value is null 249 */ 250 int getCellValueInt( 251 Map<SpatialDimension, Object> coordinates, 252 boolean[] wasNull); 253 254 /** 255 * Version of {@link #getCellValue(java.util.Map)} optimized for 256 * {@code double} values. 257 * 258 *
If value is null, writes 'true' into wasNull[0] and returns 0. 259 * Otherwise, does not modify wasNull. 260 * 261 * @param coordinates Value of each dimension 262 * @param wasNull 1-element array to be informed if value was null 263 * @return Value, or 0 if value is null 264 */ 265 double getCellValueDouble( 266 Map<SpatialDimension, Object> coordinates, 267 boolean[] wasNull); 268 } 269} 270 271// End SpatialValueTree2.java


openssl_user_macros, OPENSSL_API_COMPAT, OPENSSL_NO_DEPRECATED - User defined macros
User defined macros allow the programmer to control certain aspects of what is exposed by the OpenSSL headers.
NOTE: to be effective, a user defined macro must be defined before including any header file that depends on it, either in the compilation command (cc -DMACRO=value
) or by defining the macro in source before including any headers.
Other manual pages may refer to this page when declarations depend on user defined macros.
The value is a version number, given in one of the following two forms:
0xMNNFF000L
This is the form supported for all versions up to 1.1.x, where M
represents the major number, NN
represents the minor number, and FF
represents the fix number, as a hexadecimal number. For version 1.1.0, that's 0x10100000L
.
Any version number may be given, but these numbers are the current known major deprecation points, making them the most meaningful:
0x00908000L
(version 0.9.8)0x10000000L
(version 1.0.0)0x10100000L
(version 1.1.0)For convenience, higher numbers are accepted as well, as long as feasible. For example, 0x60000000L
will work as expected. However, it is recommended to start using the second form instead:
mmnnpp
This form is a simple decimal number calculated with this formula:
major * 10000 + minor * 100 + patch
where major, minor and patch are the desired major, minor and patch components of the version number. For example:
If OPENSSL_API_COMPAT is undefined, this default value is used in its place: 30200
If this macro is defined, all deprecated public symbols in all OpenSSL versions up to and including the version given by OPENSSL_API_COMPAT (or the default value given above, when OPENSSL_API_COMPAT isn't defined) will be hidden.
Copyright 2018-2021 The OpenSSL Project Authors. All Rights Reserved.
Licensed under the Apache License 2.0 (the "License"). You may not use this file except in compliance with the License. You can obtain a copy in the file LICENSE in the source distribution or at https://www.openssl.org/source/license.html.


A collection of harmonics drawn from the single-cycle waves of several classic synthesizers .
You can select harmonics for two sound sources, which are mixed. The harmonics are drawn from single-cycle waves of the Kawai K3, Ensoniq SQ-80, Prophet VS, and Casio CZ series. See the manual for more details.


Preparation time
overnight
Cooking time
30 mins to 1 hour
Serves
Serves 4
This innovative recipe puts together onion powder with sweet asparagus, soft eggs and crisp potato.
For the burnt onion powder, preheat the oven to 65C/150F/Gas: lowest possible setting.
Heat a dry frying pan until hot.
Cut the onions in half and place cut side down onto the frying pan and leave until very charred. Turn the onions over and repeat on the other side. Transfer the onions onto a baking tray and bake in the oven on a very low heat for 12 hours.
When completely dry, blend the onions in a food processor to a fine powder. Sieve the onion powder and set aside until needed.
For the asparagus velouté, heat a frying pan until medium hot. Add the butter, onions and garlic and fry gently for 4-5 minutes until just soft.
 Bring the mixture up to the boil and simmer for six minutes.
Add the beurre noisette and cream to the asparagus pan and mix well.
Pour the asparagus mixture into a blender, add the baby spinach and blend to a fine purée.
Strain the asparagus purée through a fine sieve into a bowl over iced water, to chill and keep the colour. Set aside until needed.
For the asparagus purée, bring a pan of salted water to the boil, add the asparagus and cook for a few minutes until soft. Drain the asparagus, then plunge immediately into cold water to refresh. Drain again, and pat the asparagus dry.
Blend the cooked asparagus with the remaining ingredients to a fine purée.
Strain the purée through a fine sieve into a bowl over iced water, to chill and keep the colour. Set aside until needed.
For the crispy hen’s eggs, heat a deep fat fryer to 190C/375F. Alternatively heat vegetable oil in a deep sided, heavy-based pan, until a breadcrumb sizzles and turns golden brown when dropped in. (CAUTION: hot oil can be dangerous. Do not leave unattended.)
Bring a deep pan of water to the boil, add the vinegar then the eggs and cook for 2½ minutes. Drain the eggs and place immediately into cold water to refresh and stop the cooking process. Peel the shells from the eggs and trim them so they are nice and round.
Pat the peeled eggs dry then wrap them in potato spaghetti. Gently lower the potato wrapped eggs into the hot oil and cook until crisp.
Remove the eggs from the oil with a slotted spoon and drain on kitchen paper. Season with salt and freshly ground black pepper.
For the griddled asparagus, bring a large pan of salted water to the boil, add the asparagus and boil for two minutes 20 seconds, then drain and plunge immediately into cold water to refresh. Drain the asparagus again and pat dry.
Heat a griddle pan until medium hot. Drizzle the asparagus with olive oil, sprinkle with salt and griddle them on a medium heat until charred on each side.
To serve, sprinkle the onion powder onto the griddled asparagus. Spoon three stripes of asparagus purée across each serving plate, and place two griddled asparagus covered in the onion powder across the purée. Place the deep-fried egg on top of the asparagus. Pour the velouté into small jugs and serve alongside.


Coding101
I am a Secondary School Graduate
What do you prefer as a hobby/ what do you do in your free time
Computer Styled Sections
Cascading Style Sheets
Crazy Solid Shapes
None of the above
What do you prefer as a hobby/ what do you do in your free time
Computer Styled Sections
Cascading Style Sheets
Crazy Solid Shapes
None of the above
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GPHA Justifies Impending 11% Increment In Port Tariff
by Peace FM OnlineThe Ghana Ports and Harbours Authority [GHPA] has maintained that the increment of port tariff is long overdue to cater for inflation, increases in fuel prices, electricity and other resources used by the port and terminals to provide services.
The Importers and Exporters Association is already kicking against a scheduled 11 per cent tariff increment for cargo handling at the Terminal Three of the Tema Port, arguing that the increment which is scheduled to take effect next month would be an additional cost to their operations.
But speaking on NEAT FM’s morning show ‘Ghana Montie’, the General Manager of GPHA, Madam Esther Gyebi noted that all parties have been given reasons why the increment was needed.
Listen to her explanation . . .
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