Bring in new talent at any level, or upskill current staff
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You could choose to bring new talent into your organisation by hiring someone new - but apprenticeships are also ideal for upskilling or retraining existing employees. The important thing is that the apprentice will develop new skills to help them succeed in their chosen occupation.
Why an apprenticeship?
Apprenticeships offer a productive and effective way to grow talent and develop a motivated, skilled and qualified workforce. Employers who have an established apprenticeship programme reported that productivity in their workplace had improved by 76%, while 75% reported that apprenticeships improved the quality of their product or service.
You can fill skills gaps in your organisation
An apprenticeship standard contains a list of the skills, knowledge and behaviours an apprentice will need to have learned by the end of their apprenticeship. Standards are developed by employers and industry experts to be occupation focused, which means the learning happens throughout the apprenticeship. There’s an assessment at the end to prove the apprentice can carry out all aspects of the job, so they’ll be ready to make valuable contributions.
There’s a huge variety of apprenticeship standards to choose from - and if there’s a specific standard you’re looking for that isn’t currently available, you can join a ‘trailblazer’ group to develop it.
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An apprentice must spend at least 20% of their time completing off-the-job training – but the style, location and timing of training varies. It can be delivered in a way that suits you and your training provider, allowing your apprentice to learn the knowledge, skills and behaviours required for their role. It could be a block of time in a residential setting, or online learning to fit around an apprentice’s shifts, for example.
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Goals
Color the countries as you wish
Give you country-specific information when you hover over a country
Perform some country-specific action when you click on a country


Real-Time Transactions Board Add virtual transaction Card Balance Serial Type Terminal Serial Transaction Amount Result Timestamp Type Real-time transactions


Advanced Innovation Young Scientist
Beijing Advanced Innovation Center for Structural Biology
Tsinghua University
My name is Mingxu Hu, born in Jiangsu, P.R. China in 1991. I am interested in algorithm development and high performance implementation of it in cryoEM field.
11/2018 - Present
Advanced Innovation Young Scientist
Beijing Advanced Innovation Center for Structural Biology, Tsinghua University
10/2016 - 10/2018
Intern
National Supercomputing Center in Wuxi
16/09/2018
Ph.D. Thesis Defense
09/2013 - 09/2018
Ph.D. in Biology
School of Life Science, Tsinghua University
Advisor: Dr. Nieng Yan
09/2009 - 06/2013
B.S. in Physics
Department of Physics, Tsinghua University
Mingxu Hu#, Qi Zhang#, Jing Yang*, Xueming Li*.(2020) Unit quaternion description of spatial rotation in 3D electron cryo-microscopy. (Review) Journal of Structural Biology, Volume 212, Issue 3.
Mingxu Hu#, Hongkun Yu#, Kai Gu#, Zhao Wang, Huabin Ruan, Kunpeng Wang, Siyuan Ren, Bing Li, Lin Gan, Shizhen Xu, Guangwen Yang*, Yuan Shen*, Xueming Li*.(2018) A particle-filter framework for robust cryo-EM 3D reconstruction. Nature Methods 15, 1083–1089. Springer Citation Count.
Qi Zhang#, Hai Lin*, Mingxu Hu*.(2020) Statistics and classification of spatial rotations and projection directions considering molecular symmetry in 3D electron cryo-microscopy. bioRxiv.
Ran Zhang#, Lin Cao#, Mengtian Cui#, Zixian Sun, Mingxu Hu, Rouxuan Zhang, William Stuart, Xiaochu Zhao, Zirui Yang, Xueming Li, Yuna Sun, Shentao Li, Wei Ding*, Zhiyong Lou*, Zihe Rao.(2019) Adeno-associated virus 2 bound to its cellular receptor AAVR. Nature Microbiology 4, 675-682.
Lin Cao#, Ran Zhang#, Tingting Liu#, Zixian Sun#, Mingxu Hu, Yuna Sun, Lingpeng Cheng, Yu Guo, Sheng Fu, Junjie Hu, Xiangmin Li, Chengqi Yu, Hanyang Wang, Huanchun Chen, Xueming Li, Elizabeth E. Fry, David I. Stuart*, Ping Qian*, Zhiyong Lou*, Zihe Rao.(2018) Seneca Valley virus attachment and uncoating mediated by its receptor anthrax toxin receptor 1. Proceedings of the National Academy of Sciences of the United States of America, 2018 115 (51) 13087-13092.
Dong Deng#, Chao Xu#, Pengcheng Sun#, Jianping Wu, Chuangye Yan, Mingxu Hu, Nieng Yan*.(2014) Crystal structure of the human glucose transporter GLUT1. Nature 510, 121-125.
16/10/2019, Hefei, China
2019 China Electron Microscopy Society Annual Symposium
21/12/2018, Beijing, China
Advanced Innovation Fellow Symposium & Award Ceremony
17/10/2018, Leiden, Netherland
The Second Leiden-Tsinghua Advanced CryoEM Workshop
29/08/2018, Hangzhou, China
2018 Kuo Symposium on 3D-EM of Macromolecules and Cells
06/2019, Hong Kong, China
2019 Gordon Research Conference
06/2018, New Port, USA
2018 Gordon Research Conference
03/2017 - Present
v1.x
02/2015 - 03/2017
Development and Beta-Release


This is part III of the quantile regression series. Part I and part II show the Bayesian quantile regression using the asymmetric Laplace distribution, augmented scheme, and score. In this post I’m going to show the multiple quantile regression given in Wu and Narisetty (2021), which is a follow up to part II.
Multiple quantile regression with score
The score method includes the regressors into the objective function as \[ s_\tau(\beta) = \sum_{i=1}^{n} x_i \psi_\tau(y_i - x_i^{\top}\beta). \] where \(\psi_\tau(u) = \tau - I(u < 0)\).
Wu and Narisetty (2021) consider the following “working” likelihood \[ \mathcal{L}(y \mid x,\, \beta) = C \exp\bigg(-\frac{1}{2n} s_\tau(\beta)^{\top} W s_\tau(\beta) \bigg), \] where \(W\) is a \(p \times p\) positive definite weight matrix, and C is a constant free of \(\beta\). The quadratic form and the given objective function implies that the quantile estimator is maximized at the typical quantile estimate.
The \(W\) matrix for multiple quantiles is given as
\[ W = (Q \otimes G )^{-1}, \text{ where } Q = (\min(\tau_i, \tau_j) - \tau_i \tau_j)_{ij}, \; G = \frac{1}{n}\sum_{i=1}^n x_i x_i^{\top}. \]
A nice property of \(W\) is that it depends all on user input data so can be constructed outside of the MCMC iterations.
Score function
The following Stan model implements the multiple \(\tau\) code.
Show the code
functions{
matrix kronecker(matrix A, matrix B) {
matrix[rows(A) * rows(B), cols(A) * cols(B)] C;
int m = rows(A);
int n = cols(A);
int p = rows(B);
int q = cols(B);
for (i in 1:m) {
for (j in 1:n) {
int row_start = (i - 1) * p + 1;
int row_end = (i - 1) * p + p;
int col_start = (j - 1) * q + 1;
int col_end = (j - 1) * q + q;
C[row_start:row_end, col_start:col_end] = A[i, j] * B;
}
}return C;
}
vector q_loss(real q, vector u){
return (abs(u) + (2 * q - 1) * u);
}
vector score(vector q, vector y, matrix x, array[] vector beta) {
int N = num_elements(y);
int P = num_elements(beta[ , 1]);
int K = num_elements(q);
matrix[K, P] out;
for (k in 1:K) {
out[k] = transpose(transpose(x) * q_loss(q[k], y - x * to_vector(beta[ ,k])));
}
return to_vector(out);
}
matrix make_w (matrix x, vector q) {
int N = rows(x);
int P = cols(x);
int m = num_elements(q);
matrix[m * P, m * P] out;
matrix[m, m] Q;
matrix[P, P] G = crossprod(x) ;
// G[1:P, 1] /= log(N);
// G[1, 2:P] = transpose(G[2:P, 1]);
for (i in 1:m) {
1 - q[i]);
Q[i, i] = q[i] * (for (j in 1:i - 1) {
Q[i, j] = min([q[i], q[j]]) - q[i] * q[j];
Q[j, i] = Q[i, j];
}
}
return kronecker(N * inverse(G), inverse(Q));
}
}data {
int N; // Number of observation
int P; // Number of predictors
int K; // Number of quantiles
vector[K] q;
vector[N] y;
matrix[N, P] x;
}transformed data {
matrix[K * P, K * P] W = make_w(x, q);
}parameters {
// can add ordered constraint here
array[P] vector[K] beta;
real<lower=0> sigma;
}model {
vector[K * P] score_vec = score(q, y, x, beta) / sigma;
for (i in 1:K)
0, 4);
beta[, i] ~ normal(
1);
sigma ~ exponential(
target += -quad_form(W, score_vec) / (2 * N * K) - K * N * log(sigma);
}
I’ll simulate the same data as in part II:
Show the code
set.seed(12312)
library(quantreg)
<- 1000
N <- runif(N, max=10)
x <- -1
alpha <- 2
beta <- alpha + beta * x + rnorm(N, sd = .5 * x)
y <- c(0.05, 0.5, 0.95)
q
# frequentist estimate
<- quantreg::rq(y ~ x, tau = q)
out_freq
<- multiple_score_qr$sample(
out_score data = list(N = N,
P = 2,
K = length(q),
q = q,
y = y,
x = as.matrix(data.frame(alpha = 1, x = x))),
seed = 12123123,
parallel_chains = 4,
iter_warmup = 500,
iter_sampling = 500,
refresh = 0,
show_messages = FALSE
)
Running MCMC with 4 parallel chains...
Chain 2 finished in 1.8 seconds.
Chain 1 finished in 2.0 seconds.
Chain 3 finished in 1.9 seconds.
Chain 4 finished in 2.1 seconds.
All 4 chains finished successfully.
Mean chain execution time: 2.0 seconds.
Total execution time: 2.3 seconds.
Show the code
$summary() out_score
# A tibble: 8 × 10
variable mean median sd mad q5 q95 rhat ess_bulk
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 lp__ -3083. -3083. 1.81 1.73 -3087. -3081. 1.00 746.
2 beta[1,1] -1.40 -1.39 0.274 0.286 -1.85 -0.969 1.00 872.
3 beta[2,1] 1.30 1.30 0.0430 0.0437 1.23 1.37 1.00 905.
4 beta[1,2] -0.867 -0.864 0.124 0.124 -1.07 -0.667 1.00 971.
5 beta[2,2] 1.97 1.97 0.0206 0.0196 1.94 2.00 1.00 1000.
6 beta[1,3] -0.905 -0.936 0.218 0.207 -1.21 -0.503 1.00 971.
7 beta[2,3] 2.83 2.84 0.0456 0.0447 2.75 2.90 1.01 944.
8 sigma 1.69 1.69 0.0229 0.0239 1.66 1.73 1.00 1558.
# … with 1 more variable: ess_tail <dbl>
Test on ImmunogG data
Show the code
library(Brq)
data("ImmunogG")
<- data.frame(y = ImmunogG$IgG,
dat alpha = 1,
x = ImmunogG$Age,
xsq = ImmunogG$Age^2)
<- multiple_score_qr$sample(
out_score_mod data = list(N = nrow(ImmunogG),
P = 3,
K = 3,
q = c(0.05, 0.5, 0.95),
y = ImmunogG$IgG,
x = as.matrix(dat[, 2:4])),
seed = 12123123,
parallel_chains = 4,
max_treedepth = 12,
iter_warmup = 500,
iter_sampling = 500,
refresh = 0,
show_messages = FALSE
)
Running MCMC with 4 parallel chains...
Chain 1 finished in 5.8 seconds.
Chain 2 finished in 6.3 seconds.
Chain 4 finished in 6.9 seconds.
Chain 3 finished in 7.1 seconds.
All 4 chains finished successfully.
Mean chain execution time: 6.5 seconds.
Total execution time: 7.2 seconds.
Show the code
<- rq(y ~ x + xsq,
out_freq_1 data = dat,
tau = 0.05)
<- rq(y ~ x + xsq,
out_freq_2 data = dat,
tau = 0.5)
<- rq(y ~ x + xsq,
out_freq_3 data = dat,
tau = 0.95)
Results
Modified score:
Show the code
$summary() out_score_mod
# A tibble: 11 × 10
variable mean median sd mad q5 q95 rhat ess_bulk
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 lp__ -605. -605. 2.25 2.11 -609. -602. 1.00 749.
2 beta[1,1] 0.648 0.682 0.443 0.441 -0.116 1.33 1.00 770.
3 beta[2,1] 1.20 1.20 0.387 0.376 0.545 1.85 1.01 695.
4 beta[3,1] -0.138 -0.139 0.0648 0.0620 -0.247 -0.0296 1.01 727.
5 beta[1,2] 2.69 2.68 0.316 0.319 2.18 3.22 1.01 677.
6 beta[2,2] 1.20 1.21 0.238 0.235 0.810 1.58 1.01 652.
7 beta[3,2] -0.0773 -0.0784 0.0374 0.0374 -0.137 -0.0137 1.01 703.
8 beta[1,3] 7.12 7.12 0.609 0.620 6.16 8.18 1.00 791.
9 beta[2,3] -0.385 -0.393 0.494 0.505 -1.19 0.416 1.01 707.
10 beta[3,3] 0.237 0.239 0.0788 0.0785 0.105 0.366 1.01 705.
11 sigma 1.19 1.19 0.0270 0.0278 1.15 1.23 1.00 1373.
# … with 1 more variable: ess_tail <dbl>
Quantreg
Quantreg:
Show the code
summary(out_freq_1, se = "iid")
Call: rq(formula = y ~ x + xsq, tau = 0.05, data = dat)
tau: [1] 0.05
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 0.76514 0.30477 2.51058 0.01259
x 1.19143 0.24792 4.80577 0.00000
xsq -0.13371 0.04037 -3.31187 0.00104
Show the code
summary(out_freq_2, se = "iid")
Call: rq(formula = y ~ x + xsq, tau = 0.5, data = dat)
tau: [1] 0.5
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 2.80112 0.59354 4.71936 0.00000
x 1.15865 0.48282 2.39976 0.01703
xsq -0.07523 0.07863 -0.95677 0.33947
Show the code
summary(out_freq_3, se = "iid")
Call: rq(formula = y ~ x + xsq, tau = 0.95, data = dat)
tau: [1] 0.95
Coefficients:
Value Std. Error t value Pr(>|t|)
(Intercept) 7.23563 0.67142 10.77659 0.00000
x -0.48165 0.54617 -0.88186 0.37857
xsq 0.24602 0.08895 2.76597 0.00603


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Problem from Random Iterated Functions
Here’s a simple problem discussed by Persi Diaconis and David Freedman which motivates the beautiful theory of random iterated functions, a way of thinking about Markov chains that unifies diverse ideas from math, physics, and statistics.
The particular problem is to estimate the stationary distribution of the Markov chain $X_{n}$ defined on $[0, 1]$ by the following procedure: Let $X_{n + 1}$ be uniformly distributed on the interval to the left of $x_{n}$ with probability $1/2$, else draw $X_{n + 1}$ uniformly from the interval to the right of $x_{n}$.
More formally, $X_{n}$ is a Markov chain with the transition kernel
This chain is irreducible and aperiodic, so converges to a unique stationary distribution $\pi$. To find it, recall that $\pi$ is a stationary distribution for a chain with kernel $K$ if and only if $\pi K = \pi$. Hence, $\pi$ must satisfy
Applying the fundamental theorem of calculus, we find that the stationary distribution $\pi$ is the solution to the ODE
To solve this ODE, we integrate
Hence, we find that $\pi$ must be the arcsine distribution.
This result might be a little surprising: we start with a scheme that uniformly choose between two uniform distributions, and end up with a stationary distribution that is far from uniform. However, consider that, if $X_{n}$ is already close to one of the edges, then $X_{n + 1}$ has a 50% chance of being even closer to that edge.
Below, we have include code for taking samples from $X_{n}$. Further, we illustrate the convergence of samples from an instance of the $X_{n}$. We notice that the histogram begins to take on the characteristic heavy-tailed shape of the arcsine distribution as the sample size becomes larger and larger.
Kris at 00:00


What is wrong with the following try/catch block?
try { fibonacci(); } catch (Exception excp) { System.out.println("An error occured"); } catch (ArrayIndexOutOfBoundsException illegal) { System.out.println("Array Out of Bounds!"); }
There are no hints for this question


Convert your Class into a DB query
Paste your code and get the DB query.
x2db
Your code
public int Id {get; set;} public string Name {get; set;}
Your query
Go!


 Contracting Squamous Cell Carcinoma means that some of these cells have become abnormal and are now actively fighting against the body. Squamous Cell Carcinomas are a relatively pervasive problem, with over 30,000 people being effected by it each year in the United States alone. This means that Oral Squamous Cell Carcinomas account for 2.5 percent of all cancer cases in the United States.
Perhaps the most tragic thing about Squamous Cell Carcinomas is how preventable they can often be. In fact, the single largest risk factor that has been identified for this form of cancer is active engagement in smoking and the consumption of alchohol. Less preventable is the role that age plays in the prominence of the disease, with the majority of Squamous Cell Carcinoma victims being above the age of 40. However, refusing to partake in active smoking and drinking can play a tremendous role in decreasing the likelihood of ever having to endure a case of Squamous Cell Carcinoma.
The lethality of this form of cancer depends much on the location in which it is first contracted. For instance, Squamous Cell Carcinomas that develop on the tounge or the floor of the mouth can have a 5 year survial rate as low as 50 percent, with an additional possibility of spreading to other parts of the body. Carcinomas that appear on the lower lip, however, typically have a much higher survival rate, with 9 out of every 10 people surviving 5 years of more.
Verrucous Carcinomas are a relatively rare varient of Squamous Cell Carcinomas, accounting for around 5 percent of all oral cavity cancers. It is typically very slow growing, which means that it rarely spreads to other parts of the body. However, it can become deeply infused with the oral cavity, something which sometimes results in the degredation of the jaw bone or similar features.
Early treatment is important with this form of cancer, as Verrucous Carcinomas can sometimes spawn cases of Squamous Cell Carcinomas. These Squamous Cell Carcinoma cells are not constrained by the slow-moving nature of Verrucous Carcinomas, and as such have the ability to spread to other parts of the body. This means that the danger of Verrucous Carcinomas has the potential to increase significantly over time, turning a very treatable condition into one that can sometimes spiral out of control.
Verrucous Carcinomas are especially common males above the age of 60 years old. However, it is occurring in young people more and more due to a recent willingness to partake in chewing tobacco or using snuff orally. Both of these things increase the risk of contracting this cancer so much that it is sometimes referred to as "Snuff dipper's cancer".
Your salivary glands are responsible for creating saliva, a lubricating substance involved in the early process of digesting food. Salivary Gland Carcinomas are classified when abnormal cells begin to disrupt this bodily function. They are relatively uncommon, only accounting for about 3 percent of head and neck tumors.
Luckily, the prognosis for those who contract this form of cancer is usually fairly positive, with around 72 percent of people diagnosed with Salivary Gland Carcinomas surviving 5 years or more. Even so, more research is necessary to identify new treatment procedures that could improve these odds even further.
The largest currently identified risk factor associated with Salivary Gland Carcinomas is age and gender, as the chance of contracting this disease is highest in males past the age of 50. That said, there do exist some other proposed conditions that some studies have suggested may increase the risk of a particular individual contracting a Salivary Gland Carcinoma. A diet low in vegetables and high in animal fat, for instance, has been proposed as one such condition.
Chemotherapy has always served as a valuable tool for doctors and patients alike to combat Oral Cancers. However, the side effects that this form of treatment can sometimes have have attached a negative stigma to the practice, something which has made some patients apprehensive to attempting it. Thankfully, recent advancements have brought with them new applications of chemotherapy that are both better suited for targeting cancerous tumors and more comfortable for those that must experience it.
One recent approach involves injecting the chemotherapy drug directly into the tumor. While in the past this approach sometimes led to the drug quickly spreading throughout the body, recent advancements have made it possible to prepare the chemotherapy drugs so that they remain in the tumor, thus ensuring a more comfortable and active treatment.
Additionally, chemotherapy for Oral Cancers is sometimes used as a supplement to other treatments, ultimately aiming to shrink the tumor before surgery or radiotherapy. This means we are sometimes able to slowly ween off our dependance on chemotherapy and the many harms that have historically come along with it.
Recent discoveries have done much to better our understanding regarding the actual causes of Oral Cancers, something that has given people everywhere the opportunity to protect themselves from this terrible disease. This means that it is now possible for everyone to take significant steps towards ensuring a healthier, safer life free from the burden of cancer.
The facts are alarming in their clarity: about 80 percent of the people who contract cancers of the Oral Cavity and related reigons participate in the usage of tobacco, be it through cigarettes, chewing tobacco or snuff. Additionally, around 70 percent of people who are diagnosed with Oral Cancer are relatively heavier drinkers. Current projections indicate that smoking and drinking can do so much as double a particular individual's chance of contracting a form of Oral Cancer.
It is through discoveries such as these that we can all be given the ability to advance the fight against cancer, one decision at a time. Information stands alone as the sole thing that possesses the ability to empower people to make healthy choices about what they choose to do and not do. And after all, one of the best ways to combat cancer is through prevention.
The Oral Cancer Foundation has long since been a valuable participant in the battle against Oral Cancers. They have made it their mission to save lives through the promotion of innovative new research and an increased awareness as to the causes of Oral Cancers.
The Oral Cancer fondation has also been responsible for the organization of many nationwide events that have done much to enhance public awareness regarding the disease. Additionally, the foundation serves as a valuable platform for anyone to get involved in the fight against Oral Cancers through the means of allowing all visitors to their website to create a personal campaign. These campaigns can involve everything from bake sales to neighborhood parades, and are capable of spreading happiness as well as raising money and awareness for the fight against this terrible disease.
The value of this foundation simply cannot be overstated. Every dollar directed towards them advances the fight against Oral Cancers, and it is these individual efforts that could one day end the suffering that this disease has left in its wake. You can join them in their fight by clicking the button below to cast a donation.
Established over a decade ago, The Mouth Cancer Foundation has dedicated itself to supporting people who suffer from mouth, throat, and other related cancers. They provide valuable information for patients and professionals alike, helping both parties deal with their situation in a healthy, efficient way free from ignorance.
They also boast an impressive online support group that has proven to help thousands people gain information regarding how best to deal with the threat of Oral Cancers. In addition to supporting the operation of the foundation, donations directed towards them do everything from providing counseling to families in need to reaching out to communities, hospitals, and schools to provide valuable information.
Simply put, a donation directed towards The Mouth Cancer Foundation is the first step towards ensuring that the threat of Oral Cancers becomes one of the past. They seek to combat this diseases on every front, providing both emotional and financial support to those who need it the most. You can assist them in this heroic goal by clicking the button below to donate.
The internet has made it possible to join the fight against Oral Cancers without spending a single penny. This is the power of word of mouth, the power of sharing our thoughts and ideas to make a change. You can click on the buttons below to get started. Spread the word!


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This post will help you learn basics of Git version control system without delving deep into its finer details. Learn all the basic tricks that can be useful for day today operations.
##1. Git Introduction
Git is a Distributed Version Control System (DVCS).
In DVCS, clients dont just check out the latest snapshot of the files- they fully mirror the repository. Thus if server dies, and these systems were collaborating via it, any of the client repositories can be copied back up to the server to restore it.
Every checkout is a full backup of the data.
Other VCS store differences across revisions
On the other hand git stores snapshots of files which are modified in that particular revision
###This separates git from every other version control system of previous generation.
Most operations in Git are local as client has entire history of the project.  This may not seem like a huge deal, but you may be surprised what a big difference it can make.
The Three States
Git has three main states where files can reside in: commited, modified and staged. Commited means that the data is safely stored in your local database. Modified means that you have changed the file but have not commited to your database. Staged means that that you have marked a modified file in its current version to go into the next commit snapshot (git add filename).
For the first time setup name and email are required to be specified
##2. Git Basics
Cloning Existing repository:
If you want to get a replica of existing git repository for example a project you want to contribute to- the command is git clone.
Remember it is clone and not checkout, in git checkout has a different meaning. Instead of getting workingf copy, you get full copy of nearly all data the server has, every version of every file.
Example:
Recording changes to Reposiotry:
Each file in your working directory can be in one of two states: tracked or untracked.
Tracked files are files that were in the last snapshot; they can be unmodified, modified or staged. Untracked files are everything else, everything else that were not in the last snapshot and are not in your staging area.
When you first clone a repository, all your files will be tracked and unmodified. If you edit files, git sees them as modified, because you have changed them since your last commit.
To check status of your files do:
It can be seen that the new file README is untracked, Untracked basically means that Git sees a file you didnt have in the previous snapshot.
Tracking New Files:
Staging Modified Files
If we change a file that was already tracked say pom.xml and then run git status
How can this possible? pom.xml is listed as both staged and unstaged.
Its because Git stages a file exactly as it when you run git add command.
If you commit now, git will commit the staged version of pom.xml and not modified one. To move modified pom.xml run git add again.
Short Status
While git status output is comprehensive, its quite lengthy. Git has short status flag so that you can see your changes in a more compact way.
New files that arent tracked have a ?? next to them. New files that have been added to staging area have an A. Modified file have an M.
There are two columns to the output - the left hand column indicates that the file is staged and the right hand column indicates that it’s modified. For example file README is modified in working directory but not yet staged while pom.xml is modified in working directory and staged as well.
Ignoring files
To ignore files from being moved to staging area / getting commited add them to .gitignore
file
The rules for patterns in .gitignore are as follows:
- Blank lines or lines starting with
#
are ignored. - Standard glob patterns work.
- You can end patterns with a forward slash (/) to specify directory
- To neglect patters start it with exclamation point (!)
Examples: .out # ignore all .out files !req.out # make an exception for req.out /pom.xml # only ignore root pom.xml build/ # ignore build directory and all its files *Service/.java # ignore all java files containing Service in them
Github maintains a fairly comprehensive list of good .gitignore files, they can be found at:
Viewing Diff for staged and unstaged changes
Although git status tells which files have been staged or modified but it doesnt really tell much about what changes have been made in individual files. To view what has been changed but not yet staged, type git diff with no other arguments.
git diff
compares what is in the working directory with staging area.
To see what has been staged and will go in the next commit use $ git diff --staged
Commiting the changes
If the staging area is set up, changes can be commited. Remember anything that is still unstaged will not go in this commit. The simplest way to commit is to type git commit:
‘git commit’
Doing so will launch the editor usually vim/emacs, or the one we had set up in $ git config --global core.editor
. The message has git status of the files changed commented out, they can be uncommented if you want leave it in the message.
Instead of status if you want to view diff in the message type $ git commit -v
Alternatively, commit message can be typed inline with -m flag:
$ git commit -m "SNAPDEALTECH-55080: removing unused jsp's"
The output of commit will be SHA-1 checksum of the commit, how many files were changed, branch in which it was commited and statistics about the lines.
Skip staging area:
To skip staging area and commit all the files in working directory type:
$ git commit -a -m "Commiting all the files directly from working directory"
Removing files from git
To remove files from git it is required to untrack them. git rm <filename>
untracks the file.
If the file has been modified use -f flag. This is an extra saftey measure to prevent accidental removal of data that hasnt been recorded in a snapshot and cant be recovered from git.
Viewing the commit history
To view the commit history in the current repository type:
$ git log
By default commits are shown in reverse chronological order. Many different options exist for viewing exactly what is required.
One of the most helpful options is -p, which shows the difference introduced in each commit. You can also use -<number>
to view diffs of those many commits.
To view diff of last three commits use the following command:
$ git log -p -3
To view short stats of each commit use --stat
option.
$ git log --stat


refresh the page to get a new thing.
ideas generated from engagements with practitioners and researchers throughout the Always Already Computational project.
50 things are available as a PDF and a CSV.
code from jason heppler, originally implemented at whatisdigitalhumanities.


On this day: Albert Einstein presented his general theory of relativity
by Samantha DickMore than a century ago, on November 25, 1915, scientist Albert Einstein presented his world-changing general theory of relativity for the first time.
Many great thinkers throughout history have tried to explain gravity, but none have come closer than Mr Einstein.
The German-born physicist’s geometric theory of gravitation was so impressive that it is still used to describe gravitation in modern physics today.
His theory of general relativity was important because it implied the existence of black holes – regions of space that have such a strong gravitational pull that anything that gets too close to one will be sucked in, never to be seen again.
In his presentation, Mr Einstein predicted that massive stars no longer able to sustain their own weight could collapse and deform spacetime to form a black hole.
His theory also predicted the existence of gravitational waves, which are ‘ripples’ in spacetime caused by violent and energetic processes in the Universe.
It also explained how the path of light will follow the curvature of spacetime as it passes near a star.
Mr Einstein shot to international fame in 1919 when a British scientist tested his general theory of relativity by observing a solar eclipse and found it to be correct.


Purpose: To add few select options dynamically and pass the test if the length is correct. Bug#803364.
=======


2. Methodology¶
2.1. Generals in Bayesian optimization approach¶
\[\int_a^{b}f=\left[f(a+\dfrac{dx}{2})+f(a+dx+\dfrac{dx}{2})+(f(a+2dx+\dfrac{dx}{2})+\cdots \right]dx\]
2.1.1. Gaussian process¶
2.1.2. Acquisition Functions for Bayesian Optimization¶
2.2. Technical features in COMBO¶
2.3. References¶
| [CER06] | Christopher K. I. Williams Carl Edward Rasmussen. Gaussian Processes for Machine Learning. volume of Adaptive computation and machine learning. MIT Press, edition, 2006. URL: http://www.gaussianprocess.org/gpml/. |
| [CL11] | Olivier Chapelle and Lihong Li. An empirical evaluation of thompson sampling. In J. Shawe-Taylor, R. S. Zemel, P. L. Bartlett, F. Pereira, and K. Q. Weinberger, editors, Advances in Neural Information Processing Systems 24, pages 2249–2257. Curran Associates, Inc., 2011. URL: http://papers.nips.cc/paper/4321-an-empirical-evaluation-of-thompson-sampling.pdf. |
| [GGMS72] | Phillip E. Gill, Gene H. Golub, Walter A. Murray, and Michael A. Saunders. Methods for modifying matrix factorizations. Math. Comp., 28:505–535, 1972. URL: http://www.ams.org/journals/mcom/1974-28-126/S0025-5718-1974-0343558-6/, doi:http://dx.doi.org/10.1090/S0025-5718-1974-0343558-6. |
| [Moc74] | Jonas Mockus. On bayesian methods for seeking the extremum. In Proceedings of the IFIP Technical Conference, 400–404. London, UK, UK, 1974. Springer-Verlag. URL: http://dl.acm.org/citation.cfm?id=646296.687872. |
| [RR08] | Ali Rahimi and Benjamin Recht. Random features for large-scale kernel machines. In J. C. Platt, D. Koller, Y. Singer, and S. T. Roweis, editors, Advances in Neural Information Processing Systems 20, 1177–1184. Curran Associates, Inc., 2008. URL: http://papers.nips.cc/paper/3182-random-features-for-large-scale-kernel-machines.pdf. |
| [URH+16] | Tsuyoshi Ueno, Trevor David Rhone, Zhufeng Hou, Teruyasu Mizoguchi, and Koji Tsuda. Combo: an efficient bayesian optimization library for materials science. Materials Discovery, ():–, 2016. URL: http://www.sciencedirect.com/science/article/pii/S2352924516300035, doi:http://dx.doi.org/10.1016/j.md.2016.04.001. |


Class of objects that generate human-readable textual representation of Lua values. This class is typically used to print out value of variables, data structures or objects in a Lua application using a syntax similar to the Lua language. It is useful for implementation of command line debug mechanisms. This class can also be used as a simple serialization mechanism for a restricted set of Lua values.
Basically, each object provides an operation to print values and holds some information that defines how values should be displayed like the output used.
indentation
' '
.
labels
linebreak
'\n'
.
maxdepth
output
write
that receives strings to be written.
The default value of this field is the standard output file.
prefix
label(value)
labels
.
By default this method generates labels using the tostring
method of Lua base library.
If the value defines the __tostring
meta-method then the original string representation is shown between parenthesis.
This method may be redefined for each object in order to define other labeling policy.
package(name, pack)
name
and defined by table pack
as well as all its functions or userdata fields.
print(...)
output
.
However, string values are written directly without any transformation.
tostring(...)
write(...)
output
.
The representations of each argument are separated by commas in the final representation.
writeto(output, ...)
output
the textual representation of all other arguments.
The object output
must provide the operation write
that receives strings to be written.
The representations of each argument are separated by commas in the final representation.
nil
, boolean
, number
, string
and table
.
However, serialized tables may not contain circular reference, other values that do not match this description, or string keys that match the name of a Lua keyword.
To serialize values of other types, you should label them with a chunk of Lua code that is able to restore the value.local Viewer = require "loop.debug.Viewer" viewer = Viewer{ maxdepth = 3, indentation = "| " } viewer:write(_G)


44 Etsy Sales
Rich Games is not only a hobby site, but it is also hobby business. I haven’t focused on it as much lately, but I enjoy making board games via pyrography (wood burning) and have sold 44 sets to date on Etsy. I definitely don’t make a profit on these games (especially if you consider my labor), but I enjoy the creative process. It’s fun to look back on the sets and I’d thought I share the numbers on what games sold.
3 Men’s Morris: 2
5 Men’s Morris: 1
9 Men’s Morris: 2
Puluc: 2
Yote: 1
Pulijudam: 1
Five Lines: 2
French Military Game: 1
Royal Game of Ur: 13
Fanorona: 2
Senet: 1
Seega: 2
Hnefatafl/Brandub (7x7): 5
Hnefatafl (9x9): 5
Hnefatafl (11x11): 2
Shut the Box: 1
Fox & Geese: 1
The Royal Game of Ur by far has been my best selling game with Hneftafl variants taking 2nd and 3rd place. I attribute the success of the Royal Game of Ur with the play through that came out with Tom Scott vs. Irving Finkel for International Tabletop Day in 2017. It’s a great video and garnered a lot of attention for this ancient little gem.
Hnefatafl games (all variants) make up 12 of the 44, which calculate to 27%. The Morris games (3, 5 & 9) make up 11% of total sales.
I’m not sure if these are really fair comparisons since I made varying amounts of each game but it’s interesting to see how all the numbers break down.


Berblan
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Fits look-up tables by filling entries with the mean or median values of observations fall in partitions of the feature space. Partitions can be determined by user of the package using input argument feature.boundaries, and dimensions of the feature space can be any combination of continuous and categorical features provided by the data set. A Predict function directly fetches corresponding entry value, and a default value is defined as the mean or median of all available observations. The table and other components are represented using the S4 class lookupTable.
| Version: | 0.1 |
| Depends: | data.table |
| Imports: | dplyr, methods |
| Suggests: | testthat |
| Published: | 2015-08-28 |
| Author: | Enzo Jia [aut, cre], Marc Maier [aut] |
| Maintainer: | Enzo Jia <enzo.jia at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | lookupTable results |
| Reference manual: | lookupTable.pdf |
| Package source: | lookupTable_0.1.tar.gz |
| Windows binaries: | r-devel: lookupTable_0.1.zip, r-release: lookupTable_0.1.zip, r-oldrel: lookupTable_0.1.zip |
| OS X binaries: | r-release: lookupTable_0.1.tgz, r-oldrel: lookupTable_0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=lookupTable to link to this page.


Giannis Antetokoumpo - The Greek Freak
The career of Giannis:
- Filathlitikos (2012–2013) - In 2012, Antetokounmpo joined the senior squad of Filathlitikos and played for them in Greece's second-tier basketball league, the Greek A2 League, during the 2012–13 season.
- Milwaukee Bucks (2013–14 season) - On April 28, 2013, Antetokounmpo officially made himself eligible for the 2013 NBA draft. He fulfilled his draft projections as a first-round pick by being selected 15th overall by the Milwaukee Bucks. On July 30, 2013, he signed his rookie scale contract with the Bucks.
- Milwaukee Bucks 2014–15 season - On October 16, 2014, the Bucks exercised their third-year team option on Antetokounmpo's rookie scale contract, extending the contract through the 2015–16 season.
- Milwaukee Bucks (2015–16 season) - On August 1, 2015, Antetokounmpo played for Team Africa in the 2015 NBA Africa exhibition game, representing Nigeria due to his parents being born there.
- Milwaukee Bucks (2016–17 season) - On September 19, 2016, Antetokounmpo agreed to a four-year, $100 million contract extension with the Bucks.
"I don’t want to sound cocky, but I have the highest possible goals. I want to be a champion with the Bucks, I want to be the MVP, I want to be part of the best 50 of all time and then I want to be the best ever who played the game."- Giannis Antetokoumpo
If you want to learn more for Giannis Antetokoumpo click here.


Google Test Drive is a platform on Google Cloud that allows you instantly test NooBaa, in a sandbox. The test drive is available for free, at the following link: A startup tutorial can be found at the following link: Google Drive Manual


Samsung Galaxy S11 latest renders and speculations - to use a spectrometer - Gizchina.com
by Efe UdinSamsung Galaxy S11 latest renders and speculations – to use a spectrometer
5 (100%) 2 votes
Recall that some days ago, we got some information on the display sizes, network (4G or 5G) and colour options of the Samsung Galaxy S11 series. Now, there are now some new renders for these smartphones. Although there is still a long way to go before the official arrival of this device, we already have rumors and speculations. For starters, none of these models will use a flat display.
According to the latest information, the Samsung Galaxy S11 series will have a big change relative to the previous generation. The new machine will adopt the “waterfall screen” design that has become popular. It also improves the side curvature which gives a better visual immersion and display ratio. In addition, it also makes the device comfortable to hold. Furthermore, the renders shows that the front punch-hole is much smaller.
The Samsung Galaxy S11 series will be available in three versions – Galaxy S11, Galaxy 11 Plus, and Galaxy S11e. It will still feature a Super AMOLED display (or SAMOLED), HDR10+ certification and Dynamic support. For the processor, it will have the new Exynos 9830 SoC and Qualcomm Snapdragon 865 processor. In addition, the new series will have 4G and 5G versions but the Galaxy S11e may only support 4G network.
XDA developers found “108MP” in OneUI. This indicates that Samsung is developing a smartphone with a 108MP camera. According to speculations, Samsung will probably use the 108MP on the Galaxy S11 series. However, there are also reports that it will add a spectrometer that can tell you the temperature and sugar content of food. The front camera may be a 10MP sensor. It is reported that the new Samsung Galaxy S11 series will be officially unveiled at the MWC exhibition in February next year. According to the usual practice, the smartphone is now in production.


Know your Dolphins
Think you know your Odontocetes and Mysticetes? Put your knowledge to the test with this intense quiz.
Think you know your Odontocetes and Mysticetes? Put your knowledge to the test with this intense quiz.
 Jump into this quiz to test your knowledge of the most exciting performers in the sea!
How big can these dolphin groups get? Think you know? Are you sure? Test your knowledge with this Mega quiz!!
We know you birders exist!


Welcome to Express
If you are reading this, it means that you are using the default html file that comes bundled with this package. To use your own static html file, please provide the --public option to the startup script, indicating where your local html files are located.
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LatexCompiler
class LatexCompiler (View source)
Properties
| $fileName | |||
| $template | |||
| $pdfUrl | |||
| protected | $data | ||
| protected | $pdfName | ||
| protected | $runs | ||
| protected | $view | ||
| protected | $tempPath | ||
| protected | $buildDir | ||
| protected | $buildPath | ||
| protected | $pdfPath |
Methods
No description
Define the name of the file to be compiled without file suffix
Set data to be passed to the view
Override default runs
Define view
Delete PDF file
Set Storage Path
Compiles the PDF and store the path to the file
Fills in the template
Writes filled in template to file
Sends to terminal to compile in tex
Check for existing PDF and move from temp
Deletes build directory
Makes build directory
Details
at line 33
__construct()
at line 50
$this
compile(string $fileName)
Define the name of the file to be compiled without file suffix
at line 65
$this
with($data)
Set data to be passed to the view
at line 79
$this
runs(int $runs)
Override default runs
at line 93
$this
in(string $view)
Define view
at line 106
true
deletePdf()
Delete PDF file
at line 120
string
storagePath(string $storagePath)
Set Storage Path
at line 133
$this
run()
Compiles the PDF and store the path to the file
at line 152
string
fillTemplate()
Fills in the template
at line 163
protected
writeToFile()
Writes filled in template to file
at line 178
protected
compileTex()
Sends to terminal to compile in tex
Sets the absolute file position on the disk and attempts to run pdf latex after cding into the directory. If the exit code is anything other than 0, it logs the error in the latex.log, tears down the temp directory, and throws a new exception which can be caught if desired.
at line 202
protected
handlePDF()
Check for existing PDF and move from temp
Checks the PDF path to see if there is already a PDF with the same name. If there is, it deletes the PDF in the path and then moves the new PDF there. If not, then it moves the PDF.
at line 211
protected
tearDownTemp()
Deletes build directory
at line 219
protected
makeTempDir()
Makes build directory


2018, going forward
2018 is going to be the year of business and product design for me. I am working with a UC Berkeley startup, Clymb Health on the main product while finding a product market fit. This enables me to get hands on experience working on a product suite targeting multiple customers, catering to their unique needs. The challenging aspect of this project is driving a user behavior which is very tough to drive - making people enter their symptom information.


Login
Login Settings
How to find your Plex Token.
— OR —
Your Plex username and password are never stored, only your Plex Token.
Advance
Server Options
Use this to communicate directly with your Plex server.
Such as http://localhost:32400 or http://<IP_ADDRESS>:32400
Such as http://localhost:32400 or http://<IP_ADDRESS>:32400


Greater garda input sought for Mayo CCTV system
A MEMBER of Mayo County Council has highlighted the value of CCTV in Ballinrobe since it was installed in 2011.
Councillor Michael Burke said it has proved very successful in tackling anti-social behaviour and other issues.
Such has been its success, the community invested about €40,000 in maintaining and upgrading it over the past eight years.
However, it is time for the garda authorities to take a bigger responsibility and not ask a community to sustain it, added Councillor Burke.


Floating substructure conceptual design tool
Author: Garrett Barter
Table of Contents
1. Introduction


Hold Thermax; target of Rs 1215: ICICI Direct
ICICI Direct recommended hold rating on Thermax with a target price of Rs 1215 in its research report dated November 14, 2019.
by Broker ResearchICICI Direct's research report on Thermax
Thermax reported standalone revenues of Rs 1406 crore registering decent growth of 18.3% YoY (on a proforma basis, including B&H business). Consolidated revenues grew 12.5% to Rs 1605.9 crore YoY, predominantly led by growth in the energy segment. Proforma EBITDA came in at Rs 113.8 crore, up 36.2% YoY (vs. our estimate of Rs 100.1 crore), owing to a reduction in other operating expenses. Consequently, EBITDA margins improved 100 bps to 8.1% YoY (above our estimate of 7.0%). PAT (proforma basis) came in at Rs 64.9 crore, down 6.4% YoY. This was also impacted by lower other income at Rs 17.9 crore and higher tax on account of deferred tax impact. Consolidated order inflow came in at Rs 1723 crore, down 28% YoY (including Rs 471 crore FGD order).
Outlook
Expected focus on smaller and shorter orders (one to six months) over H2FY20 along with expected orders in cement, FGD & refinery sectors and recovery in international orders would aid order inflows and order backlog. Hence, it would aid revenue visibility for FY21E. We expect revenue, EBITDA, PAT CAGR of 10.0%, 14.9%, 25.4%, respectively, in FY19-21E. Consequently, margins are expected to normalise on the back of easing commodity pressure and product innovations in the medium term. We revise our target price to Rs 1215/ share and maintain HOLD rating.
For all recommendations report, click here
Disclaimer: The views and investment tips expressed by investment experts/broking houses/rating agencies on moneycontrol.com are their own, and not that of the website or its management. Moneycontrol.com advises users to check with certified experts before taking any investment decisions.
Get access to India's fastest growing financial subscriptions service Moneycontrol Pro for as little as Rs 599 for first year. Use the code "GETPRO". Moneycontrol Pro offers you all the information you need for wealth creation including actionable investment ideas, independent research and insights & analysis For more information, check out the Moneycontrol website or mobile app.


For 5 years we have been developing for providing better services.


--- title: Graphics, Visualization, and Design Background Reading author: Susan Vanderplas date: '2019-12-02' slug: [] categories: - Graphics - R tags: - graphics - history - illusions - statistical-atlas - visual-inference image: caption: '' focal_point: '' --- }}index_files/anchor-sections/anchor-sections.css" rel="stylesheet" />
I started assembling a running list of useful/interesting papers in response to an email and figured it made more sense to keep this in a place I might be able to find it again. Maybe.
Some of the graphics related work I’ve done in the past. Going forward, I’m primarily interested in visual inference and graphical testing with the goal of formalizing (via experimentation) things that “everyone knows” about graphical design.
These are largely related in one way or another to the work I’ve done, and I’ve cited all of them at one point or another.
In theory, I suppose I should put Tufte’s books on this list, but I just can’t make myself do it.
I’m still looking for a good paper on the use of introspection in understanding perceptual processes. This looks like it may have a citation to something useful, but philosophy is a bit more than I’m willing to deal with today.


rstoolbox.components.
FragmentFrame
(*args, **kw)¶Data container for Fragment data.
Extends pandas.DataFrame
adding some functionalities in order
to facilitate analysis, plotting and comparisson.
Filled through the functions provided through this library, each row represents a position of a fragment, while columns describe the properties.
. rubric:: Example
In [1]: from rstoolbox.io import parse_rosetta_fragments
...: import pandas as pd
...: pd.set_option('display.width', 1000)
...: pd.set_option('display.max_columns', 500)
...: df = parse_rosetta_fragments("../rstoolbox/tests/data/wauto.200.3mers.gz")
...: df.head()
...:
Out[1]:
pdb frame neighbors neighbor position size aa sse phi psi omega
0 2hox 1 200 1 1 3 S L -154.974 117.297 176.201
1 2hox 1 200 1 2 3 E E -133.145 153.460 177.064
2 2hox 1 200 1 3 3 Y E -77.588 132.516 177.184
3 1ihu 1 200 2 1 3 I L -60.621 119.545 -179.669
4 1ihu 1 200 2 2 3 Q E -130.878 145.002 -179.783
Methods
add_quality_measure (filename[, pdbfile]) |
Add RMSD quality measure to the fragment data. |
add_source_file (file) |
Adds a source file to the FragmentFrame . |
has_source_file () |
Checks if there is a source file added. |
slice_region (ini, end) |
Retrieve only fragments within certain positions. |
top_limit (limit) |
Remove all frames whose position puts the frames over a given limit. |
is_comparable (df) |
Evaluate if the current FragmentFrame is comparable to the provided one. |
renumber ([ini]) |
Make the fragment set start at the given position. |
sample_top_neighbors ([max_count]) |
Limit to the top selected neighbors for each frame. |
coerce () |
Make fragment data coherent. |
order () |
Properly reorder the FragmentFrame . |
add_fragments (fragments, ini[, how]) |
Add to a given position a set of fragments more fragments. |
renumber ([ini]) |
Make the fragment set start at the given position. |
sample_top_neighbors ([max_count]) |
Limit to the top selected neighbors for each frame. |
select_quantile ([quantile]) |
Returns fragments under the rmsd threshold of the specified uantile. |
make_sequence_matrix ([frequency, round_data]) |
Generate a PSSM-like matrix from the fragments. |
make_per_position_frequency_network () |
Generate a graph representation of the per-residue frequency. |
make_frequency_network ([use_rmsd]) |
Generate a graph with per-position frequency between residue types at each position. |
quick_consensus_sequence () |
Consensus sequence with the highest representative per position. |
quick_consensus_secondary_structure () |
Consensus secondary structure with the highest representative per position. |


--- layout: default header: small --- {% include just-the-book.html %} Learn.js is like a collection of LEGO guides. The goal: a fun way to learn javascript. Current version of the book: 0.4.1 Learn.js hasn't made it to a full release yet, but if you buy it now you'll get a discount and get all updates to the book for free. Expect regular updates until version 1.0.0 {% include plans.html %} {% include details.html %} {% include tutoring.html %} {% include about.html %}
Learn.js hasn't made it to a full release yet, but if you buy it now you'll get a discount and get all updates to the book for free.
Expect regular updates until version 1.0.0


Interface ICommandingRuntime
Represents a runtime for the commanding system. Manages some shared configuration.
Namespace: AzureFromTheTrenches.Commanding.Abstractions
Assembly: AzureFromTheTrenches.Commanding.Abstractions.dll
Syntax
public interface ICommandingRuntime
Methods
| Improve this Doc View SourceAddAuditItemEnricher<TAuditItemEnricher>(ICommandingDependencyResolverAdapter)
Adds an audit item enricher
Declaration
ICommandingDependencyResolverAdapter AddAuditItemEnricher<TAuditItemEnricher>(ICommandingDependencyResolverAdapter commandingDependencyResolver)
where TAuditItemEnricher : IAuditItemEnricher
Parameters
| Type | Name | Description |
|---|---|---|
| ICommandingDependencyResolverAdapter | commandingDependencyResolver | The commanding dependency resolver |
Returns
| Type | Description |
|---|---|
| ICommandingDependencyResolverAdapter | The commanding dependency resolver |
Type Parameters
| Name | Description |
|---|---|
| TAuditItemEnricher | The type of the enricher |
AddCommanding(ICommandingDependencyResolverAdapter, IOptions)
Registers the commanding system in an ioc container. If the container is not able to resolve unregistered types (for example the NetStandard Microsoft container) then the commandHandlerContainerRegistration should be used to perform the type registration for the handler
Declaration
ICommandRegistry AddCommanding(ICommandingDependencyResolverAdapter dependencyResolver, IOptions options = null)
Parameters
| Type | Name | Description |
|---|---|---|
| ICommandingDependencyResolverAdapter | dependencyResolver | The dependency resolver to register inside |
| IOptions | options | Configuration options for the commanding system |
Returns
| Type | Description |
|---|---|
| ICommandRegistry | The dependency resolver |
AddCommanding(ICommandingDependencyResolverAdapter, Action<Type>)
Registers the commanding system in an ioc container. If the container is not able to resolve unregistered types (for example the NetStandard Microsoft container) then the commandHandlerContainerRegistration should be used to perform the type registration for the handler
Declaration
ICommandRegistry AddCommanding(ICommandingDependencyResolverAdapter dependencyResolver, Action<Type> commandHandlerContainerRegistration)
Parameters
| Type | Name | Description |
|---|---|---|
| ICommandingDependencyResolverAdapter | dependencyResolver | The dependency resolver to register inside |
| System.Action<System.Type> | commandHandlerContainerRegistration | Unless an alternative implementation of ICommandHandlerFactory is supplied then actors are created through the dependency resolver but not all IoC containers can resolve unregistered concrete types (for example the built in ASP.Net Core IServiceCollection and IServiceProvider IoC cannot). Where this is the case supply an implementation for the CommandHandlerContainerRegistration action that registers the actors in the container. For example using an IServiceCollection instance of serviceCollection: resolver.UseCommanding(type => services.AddTransient(type, type)); |
Returns
| Type | Description |
|---|---|
| ICommandRegistry | The dependency resolver |
AddExecutionCommandingAuditor<TExecutionAuditorImpl>(ICommandingDependencyResolverAdapter, Boolean)
Registers an auditor that will be invoked directly after a command has been executed.
Declaration
ICommandingDependencyResolverAdapter AddExecutionCommandingAuditor<TExecutionAuditorImpl>(ICommandingDependencyResolverAdapter dependencyResolver, bool auditRootCommandOnly = true)
where TExecutionAuditorImpl : ICommandAuditor
Parameters
| Type | Name | Description |
|---|---|---|
| ICommandingDependencyResolverAdapter | dependencyResolver | The dependency resolver |
| System.Boolean | auditRootCommandOnly | By default the built in auditor will audit every command that is dispatched however if using the audit as part of an event sourcing pipeline it can be useful to only audit the root command and exclude any commands dispatched as a result of that root command. Set this property to true to audit only the root commands, leave null or set to false to audit all commands. |
Returns
| Type | Description |
|---|---|
| ICommandingDependencyResolverAdapter | The dependency resolver |
Type Parameters
| Name | Description |
|---|---|
| TExecutionAuditorImpl | The type of the auditor |
AddPostDispatchCommandingAuditor<TDispatchAuditorImpl>(ICommandingDependencyResolverAdapter, Boolean)
Registers an auditor that will be invoked directly after a command has been dispatched.
Declaration
ICommandingDependencyResolverAdapter AddPostDispatchCommandingAuditor<TDispatchAuditorImpl>(ICommandingDependencyResolverAdapter dependencyResolver, bool auditRootCommandOnly = true)
where TDispatchAuditorImpl : ICommandAuditor
Parameters
| Type | Name | Description |
|---|---|---|
| ICommandingDependencyResolverAdapter | dependencyResolver | The dependency resolver |
| System.Boolean | auditRootCommandOnly | By default the built in auditor will audit every command that is dispatched however if using the audit as part of an event sourcing pipeline it can be useful to only audit the root command and exclude any commands dispatched as a result of that root command. Set this property to true to audit only the root commands, leave null or set to false to audit all commands. |
Returns
| Type | Description |
|---|---|
| ICommandingDependencyResolverAdapter | The dependency resolver |
Type Parameters
| Name | Description |
|---|---|
| TDispatchAuditorImpl | The type of the auditor |
AddPreDispatchCommandingAuditor<TDispatchAuditorImpl>(ICommandingDependencyResolverAdapter, Boolean)
Registers an auditor that will be invoked directly before a command has been dispatched.
Declaration
ICommandingDependencyResolverAdapter AddPreDispatchCommandingAuditor<TDispatchAuditorImpl>(ICommandingDependencyResolverAdapter dependencyResolver, bool auditRootCommandOnly = true)
where TDispatchAuditorImpl : ICommandAuditor
Parameters
| Type | Name | Description |
|---|---|---|
| ICommandingDependencyResolverAdapter | dependencyResolver | The dependency resolver |
| System.Boolean | auditRootCommandOnly | By default the built in auditor will audit every command that is dispatched however if using the audit as part of an event sourcing pipeline it can be useful to only audit the root command and exclude any commands dispatched as a result of that root command. Set this property to true to audit only the root commands, leave null or set to false to audit all commands. |
Returns
| Type | Description |
|---|---|
| ICommandingDependencyResolverAdapter | The dependency resolver |
Type Parameters
| Name | Description |
|---|---|
| TDispatchAuditorImpl | The type of the auditor |
UseAuditItemEnricher<TAuditItemEnricher>(ICommandingDependencyResolver)
Registers a type that will add additional properties to audit items
Declaration
[Obsolete("Please use AddAuditItemEnricher instead")]
ICommandingDependencyResolver UseAuditItemEnricher<TAuditItemEnricher>(ICommandingDependencyResolver commandingDependencyResolver)
where TAuditItemEnricher : IAuditItemEnricher
Parameters
| Type | Name | Description |
|---|---|---|
| ICommandingDependencyResolver | commandingDependencyResolver | The dependency resolver |
Returns
| Type | Description |
|---|---|
| ICommandingDependencyResolver | The dependency resolver |
Type Parameters
| Name | Description |
|---|---|
| TAuditItemEnricher | Type of the enricher |
UseCommanding(ICommandingDependencyResolver, IOptions)
Registers the commanding system in an ioc container. If the container is not able to resolve unregistered types (for example the NetStandard Microsoft container) then the commandHandlerContainerRegistration should be used to perform the type registration for the handler
Declaration
[Obsolete("Please use AddCommanding instead")]
ICommandRegistry UseCommanding(ICommandingDependencyResolver dependencyResolver, IOptions options = null)
Parameters
| Type | Name | Description |
|---|---|---|
| ICommandingDependencyResolver | dependencyResolver | The dependency resolver to register inside |
| IOptions | options | Configuration options for the commanding system |
Returns
| Type | Description |
|---|---|
| ICommandRegistry | The dependency resolver |
UseCommanding(ICommandingDependencyResolver, Action<Type>)
Registers the commanding system in an ioc container. If the container is not able to resolve unregistered types (for example the NetStandard Microsoft container) then the commandHandlerContainerRegistration should be used to perform the type registration for the handler
Declaration
[Obsolete("Please use AddCommanding instead")]
ICommandRegistry UseCommanding(ICommandingDependencyResolver dependencyResolver, Action<Type> commandHandlerContainerRegistration)
Parameters
| Type | Name | Description |
|---|---|---|
| ICommandingDependencyResolver | dependencyResolver | The dependency resolver to register inside |
| System.Action<System.Type> | commandHandlerContainerRegistration | Unless an alternative implementation of ICommandHandlerFactory is supplied then actors are created through the dependency resolver but not all IoC containers can resolve unregistered concrete types (for example the built in ASP.Net Core IServiceCollection and IServiceProvider IoC cannot). Where this is the case supply an implementation for the CommandHandlerContainerRegistration action that registers the actors in the container. For example using an IServiceCollection instance of serviceCollection: resolver.UseCommanding(type => services.AddTransient(type, type)); |
Returns
| Type | Description |
|---|---|
| ICommandRegistry | The dependency resolver |
UseExecutionCommandingAuditor<TExecutionAuditorImpl>(ICommandingDependencyResolver, Boolean)
Registers an auditor that will be invoked directly after a command has been executed.
Declaration
[Obsolete("Please use AddExecutionCommandingAuditor instead")]
ICommandingDependencyResolver UseExecutionCommandingAuditor<TExecutionAuditorImpl>(ICommandingDependencyResolver dependencyResolver, bool auditRootCommandOnly = true)
where TExecutionAuditorImpl : ICommandAuditor
Parameters
| Type | Name | Description |
|---|---|---|
| ICommandingDependencyResolver | dependencyResolver | The dependency resolver |
| System.Boolean | auditRootCommandOnly | By default the built in auditor will audit every command that is dispatched however if using the audit as part of an event sourcing pipeline it can be useful to only audit the root command and exclude any commands dispatched as a result of that root command. Set this property to true to audit only the root commands, leave null or set to false to audit all commands. |
Returns
| Type | Description |
|---|---|
| ICommandingDependencyResolver | The dependency resolver |
Type Parameters
| Name | Description |
|---|---|
| TExecutionAuditorImpl | The type of the auditor |
UsePostDispatchCommandingAuditor<TDispatchAuditorImpl>(ICommandingDependencyResolver, Boolean)
Registers an auditor that will be invoked directly after a command has been dispatched.
Declaration
[Obsolete("Please use AddPostDispatchCommandingAuditor instead")]
ICommandingDependencyResolver UsePostDispatchCommandingAuditor<TDispatchAuditorImpl>(ICommandingDependencyResolver dependencyResolver, bool auditRootCommandOnly = true)
where TDispatchAuditorImpl : ICommandAuditor
Parameters
| Type | Name | Description |
|---|---|---|
| ICommandingDependencyResolver | dependencyResolver | The dependency resolver |
| System.Boolean | auditRootCommandOnly | By default the built in auditor will audit every command that is dispatched however if using the audit as part of an event sourcing pipeline it can be useful to only audit the root command and exclude any commands dispatched as a result of that root command. Set this property to true to audit only the root commands, leave null or set to false to audit all commands. |
Returns
| Type | Description |
|---|---|
| ICommandingDependencyResolver | The dependency resolver |
Type Parameters
| Name | Description |
|---|---|
| TDispatchAuditorImpl | The type of the auditor |
UsePreDispatchCommandingAuditor<TDispatchAuditorImpl>(ICommandingDependencyResolver, Boolean)
Registers an auditor that will be invoked directly before a command has been dispatched.
Declaration
[Obsolete("Please use AddPreDispatchCommandingAuditor instead")]
ICommandingDependencyResolver UsePreDispatchCommandingAuditor<TDispatchAuditorImpl>(ICommandingDependencyResolver dependencyResolver, bool auditRootCommandOnly = true)
where TDispatchAuditorImpl : ICommandAuditor
Parameters
| Type | Name | Description |
|---|---|---|
| ICommandingDependencyResolver | dependencyResolver | The dependency resolver |
| System.Boolean | auditRootCommandOnly | By default the built in auditor will audit every command that is dispatched however if using the audit as part of an event sourcing pipeline it can be useful to only audit the root command and exclude any commands dispatched as a result of that root command. Set this property to true to audit only the root commands, leave null or set to false to audit all commands. |
Returns
| Type | Description |
|---|---|
| ICommandingDependencyResolver | The dependency resolver |
Type Parameters
| Name | Description |
|---|---|
| TDispatchAuditorImpl | The type of the auditor |


Image Layers in the VTP software. You can add any number of image layers on each terrain, but since they are limited by the number of multi-texture units your graphics card has, the number displayed may be limited to 3.
To add an Image layer, edit the properties for your terrain. Under the Texture tab, under Image Layers, double-click to choose from a list of all the image files that are located in any GeoSpecific folder on your data path.
The image must be:
- Georeferenced. Specifically, it must have extents defined. An easy way to ensure this is to use GeoTIFF format, but you can also use other TIF or JPEG files as long as they have a World File which defines their extents.
- The same CRS (projection) as the terrain. Image layers will not be dynamically reprojected.
- Within the size limits of your graphics card. Modern 3D cards will support up to 8192* 8192. You can also use smaller images, e.g. 1024x1024, and rectangular images, e.g. 2048x512.
If you have an older card without OpenGL 2.0, the the image should also be:
- Power of 2 in each dimension. For example, 256x512 is supported, 300*711 is not.
Image layers are shown in the Layers Dialog. You can do these operations on an image layer:
- Remove: Remove the selected layer.
- Visible: Toggle whether the selected layer is visible.


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(Introduced in OCaml 4.02,
infix notations for constructs other than expressions added in 4.03)
Attributes are “decorations” of the syntax tree which are mostly
ignored by the type-checker but can be used by external tools. An
attribute is made of an identifier and a payload, which can be a
structure, a type expression (prefixed with :), a signature
(prefixed with :) or a pattern (prefixed with ?) optionally
followed by a when clause:
Note: when a label declaration is followed by a semi-colon, attributes
can also be put after the semi-colon (in which case they are merged to
those specified before).
The second form of attributes are attached to “blocks” such as type
declarations, class fields, etc:
A third form of attributes appears as stand-alone structure or
signature items in the module or class sub-languages. They are not
attached to any specific node in the syntax tree:
(Note: contrary to what the grammar above describes, item-attributes
cannot be attached to these floating attributes in class-field-spec
and class-field.)
It is also possible to specify attributes using an infix syntax. For instance:
let[@foo] x = 2 in x + 1 === (let x = 2 [@@foo] in x + 1)
begin[@foo][@bar x] ... end === (begin ... end)[@foo][@bar x]
module[@foo] M = ... === module M = ... [@@foo]
type[@foo] t = T === type t = T [@@foo]
method[@foo] m = ... === method m = ... [@@foo]
For let, the attributes are applied to each bindings:
let[@foo] x = 2 and y = 3 in x + y === (let x = 2 [@@foo] and y = 3 in x + y)
let[@foo] x = 2
and[@bar] y = 3 in x + y === (let x = 2 [@@foo] and y = 3 [@@bar] in x + y)
Some attributes are understood by the type-checker:
“ocaml.warning” or “warning”, with a string literal payload.
This can be used as floating attributes in a
signature/structure/object/object type. The string is parsed and has
the same effect as the -w command-line option, in the scope between
the attribute and the end of the current
signature/structure/object/object type. The attribute can also be
attached to any kind of syntactic item which support attributes
(such as an expression, or a type expression)
in which case its scope is limited to that item.
Note that it is not well-defined which scope is used for a specific
warning. This is implementation dependent and can change between versions.
Some warnings are even completely outside the control of “ocaml.warning”
(for instance, warnings 1, 2, 14, 29 and 50).
“ocaml.warnerror” or “warnerror”, with a string literal payload.
Same as “ocaml.warning”, for the -warn-error command-line option.
“ocaml.deprecated” or “deprecated”: alias for the
“deprecated” alert, see section 12.21.
“ocaml.deprecated_mutable” or “deprecated_mutable”.
Can be applied to a mutable record label. If the label is later
used to modify the field (with “expr.l <- expr”), the “deprecated” alert
will be triggered. If the payload of the attribute is a string literal,
the alert message includes this text.
“ocaml.ppwarning” or “ppwarning”, in any context, with
a string literal payload. The text is reported as warning (22)
by the compiler (currently, the warning location is the location
of the string payload). This is mostly useful for preprocessors which
need to communicate warnings to the user. This could also be used
to mark explicitly some code location for further inspection.
“ocaml.warn_on_literal_pattern” or “warn_on_literal_pattern” annotate
constructors in type definition. A warning (52) is then emitted when this
constructor is pattern matched with a constant literal as argument. This
attribute denotes constructors whose argument is purely informative and
may change in the future. Therefore, pattern matching on this argument
with a constant literal is unreliable. For instance, all built-in exception
constructors are marked as “warn_on_literal_pattern”.
Note that, due to an implementation limitation, this warning (52) is only
triggered for single argument constructor.
“ocaml.tailcall” or “tailcall” can be applied to function
application in order to check that the call is tailcall optimized.
If it it not the case, a warning (51) is emitted.
“ocaml.inline” or “inline” take either “never”, “always”
or nothing as payload on a function or functor definition. If no payload
is provided, the default value is “always”. This payload controls when
applications of the annotated functions should be inlined.
“ocaml.inlined” or “inlined” can be applied to any function or functor
application to check that the call is inlined by the compiler. If the call
is not inlined, a warning (55) is emitted.
“ocaml.noalloc”, “ocaml.unboxed”and “ocaml.untagged” or
“noalloc”, “unboxed” and “untagged” can be used on external
definitions to obtain finer control over the C-to-OCaml interface. See
22.11 for more details.
“ocaml.immediate” or “immediate” applied on an abstract type mark the type as
having a non-pointer implementation (e.g. “int”, “bool”, “char” or
enumerated types). Mutation of these immediate types does not activate the
garbage collector’s write barrier, which can significantly boost performance in
programs relying heavily on mutable state.
“ocaml.immediate64” or “immediate64” applied on an abstract type mark the
type as having a non-pointer implementation on 64 bit platforms. No assumption
is made on other platforms. In order to produce a type with the
“immediate64“ attribute, one must use “Sys.Immediate64.Make“ functor.
ocaml.unboxed or unboxed can be used on a type definition if the
type is a single-field record or a concrete type with a single
constructor that has a single argument. It tells the compiler to
optimize the representation of the type by removing the block that
represents the record or the constructor (i.e. a value of this type
is physically equal to its argument). In the case of GADTs, an
additional restriction applies: the argument must not be an
existential variable, represented by an existential type variable,
or an abstract type constructor applied to an existential type
variable.
ocaml.boxed or boxed can be used on type definitions to mean
the opposite of ocaml.unboxed: keep the unoptimized
representation of the type. When there is no annotation, the
default is currently boxed but it may change in the future.
ocaml.local or local take either never, always, maybe or
nothing as payload on a function definition. If no payload is
provided, the default is always. The attribute controls an
optimization which consists in compiling a function into a static
continuation. Contrary to inlining, this optimization does not
duplicate the function’s body. This is possible when all
references to the function are full applications, all sharing the
same continuation (for instance, the returned value of several
branches of a pattern matching). never disables the optimization,
always asserts that the optimization applies (otherwise a warning
55 is emitted) and maybe lets the optimization apply when
possible (this is the default behavior when the attribute is not
specified). The optimization is implicitly disabled when using the
bytecode compiler in debug mode (-g), and for functions marked with
an ocaml.inline always or ocaml.unrolled attribute which
supersede ocaml.local.
module X = struct
[@@@warning "+9"] (* locally enable warning 9 in this structure *)
…
end
[@@deprecated "Please use module 'Y' instead."]
let x = begin[@warning "+9"] […] endtype t = A | B
[@@deprecated "Please use type 's' instead."]
let fires_warning_22 x =
assert (x >= 0) [@ppwarning "TODO: remove this later"]
Warning 22 [preprocessor]: TODO: remove this later
letrec is_a_tail_call = function
| [] -> ()
| _ :: q -> (is_a_tail_call[@tailcall]) q
letrec not_a_tail_call = function
| [] -> []
| x :: q -> x :: (not_a_tail_call[@tailcall]) q
type fragile =
| Int of int [@warn_on_literal_pattern]
| String of string [@warn_on_literal_pattern]
let fragile_match_1 = function
| Int 0 -> ()
| _ -> ()
Warning 52 [fragile-literal-pattern]: Code should not depend on the actual values of
this constructor's arguments. They are only for information
and may change in future versions. (See manual section 13.5)
val fragile_match_1 : fragile -> unit = <fun>
let fragile_match_2 = function
| String "constant" -> ()
| _ -> ()
Warning 52 [fragile-literal-pattern]: Code should not depend on the actual values of
this constructor's arguments. They are only for information
and may change in future versions. (See manual section 13.5)
val fragile_match_2 : fragile -> unit = <fun>
module Immediate: sigtype t [@@immediate]
val x: t refend = structtype t = A | B
let x = ref A
end
module Int_or_int64 : sigtype t [@@immediate64]
val zero : t
val one : t
val add : t -> t -> t
end = structinclude Sys.Immediate64.Make(Int)(Int64)
moduletype S = sigval zero : t
val one : t
val add : t -> t -> t
endlet impl : (module S) =
match repr with
| Immediate ->
(module Int : S)
| Non_immediate ->
(module Int64 : S)
include (val impl : S)
end


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Iggy Azalea And Playboi Carti Have Over $300,000 Worth Of Jewerly Stolen From Their Home
by Jamie SamhanThe home Iggy Azalea and Playboi Carti are renting Atlanta was broken into with a huge amount of jewelry stolen.
Local affiliate WSB-2 reported that on Nov. 14 the home located on Howell Mill Road was burglarized with a $57K Audemars Piguet watch, a $35K diamond ring, and a $39K Cuban link chain all stolen from the living room.
Sources tell TMZ that custom rings, chains, bracelets, pendants, watches, earrings and even a diamond engagement ring are missing. Which would beg the question, are the two engaged? But perhaps a story for another day.
Azalea told police that she had left the back door unlocked for Carti which she believes the burglar used. She also told them she was in the basement when she “heard footsteps” which she believed to be of her boyfriend.
Police reportedly have security camera footage of the event which shows the suspect leaving the home with a bag in hand.


How I used the Python AST capabilities to build the Python to Rpn converter.
My program works at the AST stage of the compilation pipeline:
The converter does rely on the Python compiler. Specifically my approach has been to use Python's built in ability to parse itself into an AST Abstract Syntax Tree, then to traverse this tree using the visitor design pattern to generate the RPN.
For example, the following Python code:
import ast
import astunparse
print(astunparse.dump(ast.parse('x = 1 + 2')))
will generate the following AST data structure representing x = 1 + 2:
Module(body=[Assign(
targets=[Name(
id='x',
ctx=Store())],
value=BinOp(
left=Num(n=1),
op=Add(),
right=Num(n=2)))])
If you are interested, here are the slides of a recent talk I gave to a local Python User Group in Melbourne, Australia, about how I used the Python AST capabilities to build the Python to Rpn converter. The reception to the talk was good, but became fun and buoyant once the audience realised I had targeted an old HP calculator with this fancy Python technology - especially when I pulled out my HP calcs for all to see and touch.
-Andy Bulka


{% import "scaffolding/list.html" as scaffold with context %} {% import 'scaffolding/macros.html' as s with context %} {% extends 'layouts/main.html' %} {% block layout_head %} {% endblock %} {% block layout_page_title %} {% endblock %} {% block layout_page_buttons %} {% endblock %} {% block layout_content %}
When a new product is going to be brought in to MASTERS.


001/* 002 * Licensed to the Apache Software Foundation (ASF) under one or more 003 * contributor license agreements. See the NOTICE file distributed with 004 * this work for additional information regarding copyright ownership. 005 * The ASF licenses this file to You under the Apache License, Version 2.0 006 * (the "License"); you may not use this file except in compliance with 007 * the License. You may obtain a copy of the License at 008 * 009 * http://www.apache.org/licenses/LICENSE-2.0 010 * 011 * Unless required by applicable law or agreed to in writing, software 012 * distributed under the License is distributed on an "AS IS" BASIS, 013 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 014 * See the License for the specific language governing permissions and 015 * limitations under the License. 016 */ 017package org.apache.commons.configuration2.convert; 018 019import java.util.Collection; 020import java.util.List; 021 022/** 023 *
 024 * Definition of an interface that controls the handling of list delimiters in 025 * configuration properties. 026 *
 027 *
 028 * {@link org.apache.commons.configuration2.AbstractConfiguration 029 * AbstractConfiguration} supports list delimiters in property values. If such a 030 * delimiter is found, the value actually contains multiple values and has to be 031 * split. This is useful for instance for 032 * {@link org.apache.commons.configuration2.PropertiesConfiguration 033 * PropertiesConfiguration}: properties files that have to be compatible with 034 * the {@code java.util.Properties} class cannot have multiple occurrences of a 035 * single property key, therefore a different storage scheme for multi-valued 036 * properties is needed. A possible storage scheme could look as follows: 037 *
 038 * 039 *
 040 * myProperty=value1,value2,value3 041 *
 042 * 043 *
 044 * Here a comma is used as list delimiter. When parsing this property (and using 045 * a corresponding {@code ListDelimiterHandler} implementation) the string value 046 * is split, and three values are added for the property key. 047 *
 048 *
 049 * A {@code ListDelimiterHandler} knows how to parse and to escape property 050 * values. It is called by concrete {@code Configuration} implementations when 051 * they have to deal with properties with multiple values. 052 *
 053 * 054 * @since 2.0 055 */ 056public interface ListDelimiterHandler 057{ 058 /** 059 * A specialized {@code ValueTransformer} implementation which does no 060 * transformation. The {@code transformValue()} method just returns the 061 * passed in object without changes. This instance can be used by 062 * configurations which do not require additional encoding. 063 */ 064 ValueTransformer NOOP_TRANSFORMER = value -> value; 065 066 /** 067 * Parses the specified value for list delimiters and splits it if 068 * necessary. The passed in object can be either a single value or a complex 069 * one, e.g. a collection, an array, or an {@code Iterable}. It is the 070 * responsibility of this method to return an {@code Iterable} which 071 * contains all extracted values. 072 * 073 * @param value the value to be parsed 074 * @return an {@code Iterable} allowing access to all extracted values 075 */ 076 Iterable<?> parse(Object value); 077 078 /** 079 * Splits the specified string at the list delimiter and returns a 080 * collection with all extracted components. A concrete implementation also 081 * has to deal with escape characters which might mask a list delimiter 082 * character at certain positions. The boolean {@code trim} flag determines 083 * whether each extracted component should be trimmed. This typically makes 084 * sense as the list delimiter may be surrounded by whitespace. However, 085 * there may be specific use cases in which automatic trimming is not 086 * desired. 087 * 088 * @param s the string to be split 089 * @param trim a flag whether each component of the string is to be trimmed 090 * @return a collection with all components extracted from the string 091 */ 092 Collection<String> split(String s, boolean trim); 093 094 /** 095 * Escapes the specified single value object. This method is called for 096 * properties containing only a single value. So this method can rely on the 097 * fact that the passed in object is not a list. An implementation has to 098 * check whether the value contains list delimiter characters and - if so - 099 * escape them accordingly. 100 * 101 * @param value the value to be escaped 102 * @param transformer a {@code ValueTransformer} for an additional encoding 103 * (must not be null) 104 * @return the escaped value 105 */ 106 Object escape(Object value, ValueTransformer transformer); 107 108 /** 109 * Escapes all values in the given list and concatenates them to a single 110 * string. This operation is required by configurations that have to 111 * represent properties with multiple values in a single line in their 112 * external configuration representation. This may require an advanced 113 * escaping in some cases. 114 * 115 * @param values the list with all the values to be converted to a single 116 * value 117 * @param transformer a {@code ValueTransformer} for an additional encoding 118 * (must not be null) 119 * @return the resulting escaped value 120 */ 121 Object escapeList(List<?> values, ValueTransformer transformer); 122}


Show favicon to links.
for: IE 6+, Firefox, Chrome, Safari, Opera
$(elem).gpTile();
See sample codes in HTML source,
and more informations in: Ginpen.com.
This is not applied.
This block is applied jQuery.gpTile.
Its size is adjusted against background image size.
Its size is adjusted against background image size.
The image file "Mitsubaaoi" is fixed by Takanashi Ginpei.
The original file is here: ファイル:Mitsubaaoi.svg - Wikipedia.
It is released under Creative Commons — Attribution-ShareAlike 3.0 Unported — CC BY-SA 3.0.


{% extends "base.html" %} {#{% include "core_modules/login/base.html" %}#} {% block content_header -%} {% include "core_components/content_area/content_header.html" %} {%- endblock content_header %} {% block content -%} {# - Use html of super-block template.#} {{ super() }} {% set form = forms['Naming-and-Aesthetics-Form'] %}
Adjust naming and aesthetics here. The App Short-Title and icon together will appear as the logo of the app, for example. This application primarily uses FontAwesome for its vector icons. To update the app icon, browse their icons page, click the desired icon, and ender the code below. App title will appear in the browser window. Title and shortened title will appear in breadcrumbs and other places.
{% set form = forms['Secret-Key-Form'] %}User sessions allow you to store information specific to a user from one request to the next. This is implemented on top of cookies for you and signs the cookies cryptographically. What this means is that the user could look at the contents of your cookie but not modify it, unless they know the secret key used for signing. This application comes with a secret key by default, but for your security, this default should be changed as soon as possible.
{# {% set form = forms['Modules-Form'] %}#} {#This application is an EMS, or Enterprise Management System. As such, it is not very much use without modules,#} {# which represent the various domains and layers of an enterprise. This application ships with several modules#} {# active by default. To toggle the moddules on or off, use the checkboxes next to each module below.
#} {# #} {%- endblock content %}


This experimental class provides a fast code path for rendering meshes with frequently updated geometry data. When the renderer encounters an instance of [name], it only takes care about the most primitive rendering operations (e.g. binding vertex attributes, determining correct shader program or perfoming the actual draw call). Features like view frustum culling, wireframe rendering or using multiple materials are not supported. Besides [name] can only be used to render triangles.
[name] does not work with instances of [page:BufferGeometry] or [page:Geometry]. The raw geometry data have to be maintained as properties of the [name].
Using [name] makes only sense if you are updating your geometry data per frame. You can then benefit of a faster code path compared to the default mesh redering logic.
[example:webgl_marchingcubes Marching Cubes]
[page:Material material] — The material of the [name].
See the base [page:Object3D] class for common properties.
The material of the [name]. Assigning multiple materials is not supported.
Whether position data are defined or not. Default is *false*.
Whether normal data are defined or not. Default is *false*.
Whether color data are defined or not. Default is *false*.
Whether texture coordinates are defined or not. Default is *false*.
The buffer holding position data. Default is *null*.
The buffer holding normal data. Default is *null*.
The buffer holding color data. Default is *null*.
The buffer holding texture coordinates. Default is *null*.
The number of primitives to be rendered. Default is *0*. This property will be set to *0* after each rendering so you usually set it in the implementatio of [page:.render]().
See the base [page:Object3D] class for common methods.
renderCallback -- A function to render the generated geometry data.
This method needs to be implemented by the deriving class of [name]. You normally want to implement the vertex buffer update logic and execute *renderCallback* at the end of your implementation.
[link:https://github.com/mrdoob/three.js/blob/master/src/[path].js src/[path].js]


--- layout: page title: Translating with Pootle date: 2009-01-15 17:27:32.000000000 -05:00 categories: [] tags: [] status: publish type: page published: true meta: _edit_last: '11' author: login: nathan email: '' display_name: nathan first_name: '' last_name: '' ---
Creative Commons’ Asheesh Laroia explains how to use the Pootle translation system, in this series of screencasts.
Translating with Pootle screencasts are available in OGG and MPEG4 formats at the Internet Archive.
Translating with Pootle by Creative Commons is licensed under a Creative Commons Attribution (CC BY) license. Please link to this page when providing attribution.