What are the main parties’ spending plans?
The main parties have all now laid out their spending plans for if they secure a majority government.
The main parties have all now released their General Election manifestos, and the documents contain vastly different approaches to spending.
Here is a look at the what each of the main parties are planning to spend if they secure a majority government, and how they plan to fund it.
– What have the Tories pledged to spend?
The Tories’ spending figures are smaller than Liberal Democrats’ and much smaller than Labour’s, with the 59-page document containing £2.9 billion of new public spending promises.
One of the Conservatives’ main policies is the promise of 50,000 more nurses, which they claim will cost £879 million in 2023/24.
The party has also promised to spend £9.2 billion to improve the energy efficiency of homes, schools and hospitals.
Another pledge is to invest £600 million a year, or £3 billion over the Parliament, into the new National Skills Fund, which will be on top of existing skills funding.
Also featured are promises to raise the National Insurance threshold to £9,500 in 2020, with an ambition to raise it further to £12,500, to recruit 20,000 new police officers and £500 million a year for four years to build potholes.
There are additional pledges to invest £28.8 billion in strategic and local roads and £250 million a year on childcare for at least three years.
– How are the Conservatives planning to pay for it?
The party has said it will accept £8 billion of extra borrowing to fund investment spending on research, development and mending potholes.
The Conservatives added that they are committed to fiscal discipline and all their proposals are costed.
– What have Labour promised to spend?
For every £1 of day-to-day extra spending pledged by the Conservatives, Labour is promising an extra £28.
The party’s 105-page manifesto includes spending policies totalling £83 billion. The estimated £58 billion cost of providing extra money for women denied state pensions – the so-called Waspi women – was not included in the manifesto.
Labour’s big policy is a promise to increase spending on the NHS by an average of 4.3% a year.
The party plans to spend £75 billion on building 150,000 new council and social homes a year within five years, give an immediate 5% pay rise for public sector workers and introduce a “real living wage” of at least £10 an hour.
Other policies include reinstating 3,000 bus routes, a £3 billion plan to offer adults in England free access to retraining, free broadband for all, and free personal at-home care in England for over-65s.
The Labour leader has also proposed a £400 billion National Transformation Fund and a £250 billion Green Transformation Fund to create 300,000 new “green apprenticeships” and loans for people to buy electric cars.
– How will Labour fund its plans?
The party estimates that by maintaining the broad tax base, adding a new tax on multi-national profits and increasing the corporate tax rate, it could raise an extra £30 billion a year.
Labour said its policy of placing an extra tax on foreign buyers would raise an additional £3.3 billion.
A Labour government would also receive income from placing an £11 billion windfall tax on oil and gas companies.
– What is the Liberal Democrats plan?
The Liberal Democrats have pledged to spend heavily on healthcare and education.
Under their proposals, all children aged two to four will get 35 hours a week free childcare for 48 weeks, which the Institute for Fiscal Studies estimates will cost £13 billion.
They’ve also said they will spend £10.6 billion more a year on schools, to freeze train fares, and spend £15 billion on enhancing the existing rail infrastructure over five years.
Zero-hours workers would also receive a 20% pay rise under a Liberal Democrat government, 300,000 new homes a year would be built and the party’s economic spokesperson Sir Ed Davey also pledged to spend £100 billion on tackling the effects of climate change.
– How will the Liberal Democrats pay for their policies?
They add that their policy of one penny in the pound extra on income tax will raise £7 billion a year over five years – a total of £35 billion to be spent solely on the NHS and social care.
The party also plans to tax frequent flyers, increase corporation tax to 20% and cut down on tax avoidance – all of which they say will add to their funds.
– What does the Institute for Fiscal Studies think of the parties’ proposals?
He added that the Tories’ “triple lock” on taxes was a “pretty disappointing kind of promise” which is “tying the hands of the Chancellor”, and warned that to pay for the increased public services being pledged “some taxes are going to have to rise”.
With Labour’s proposals, the IFS said there were “risks” with both the proposed spending increases and the proposed tax rises.
Mr Johnson said: “It will be extremely hard simply to deliver anything like this scale of increase in capital spending, at least in the near-term, certainly in an efficient and cost-effective way.”
On the Liberal Democrats’ promises, the IFS said the Liberal Democrats “Remain bonus” figure – which the party hope to fund many of their plans with – is “within the range of plausible estimates for the extent of that additional revenue”.


Posted on April 1, 2018 by Kerem Ozcan
If you landed on this page, chances are you an aspiring user experience researcher preparing for your first job interview or an up-and-coming researcher looking to make a career move.  At least anxious enough so that you had to dig the internet to find some tips…
If that is the case, you are exactly in the right place. If not, here’s a cute kitten so you don’t feel like you wasted a click.
Source: https://pxhere.com/en/photo/1039459So, you are still here? Well then here’s some background before I start my rant: Within the past 5 years I had over a dozen job interviews for UX research positions with a number of crème de la crème companies. Some went well, others went sour. Reflecting on my past experience, here are a few things that -I think- eventually led me to work as a UX researcher in companies like Facebook, Philips and Autodesk.
Most UX research job interviews will include a hypothetical scenario where you need research to understand what is going on. Let’s take the following example:
“Our app has recently added a share button, but users don’t seem to engage with it. How would you design a study to explore this issue?”
The worst answer is a 5-second awkward silence followed by an answer like “I would conduct a survey.” Interviewers don’t expect you to blurt out the perfect research method for any given UX issue in an instant. They want to gauge how you think, when faced with a research question.
So instead of answering the question right away, start your response by constructing a common context with your interviewer. You can start by voicing your assumptions: “I am assuming that we already have log data that shows users haven’t been engaging with the share button. I am also assuming that I have 6 weeks to finish the study.” Alternatively, you can just ask your interviewer more questions to clarify the context: "Do we already have log data for this issue you mention?" and "How much time will I have to complete the study?" This approach will help you and the interviewer to have a common understanding of the full picture and it may even buy you some time to think about how to answer the question!
There is no shortage in the number of different UX research methods, but you do not randomly pick just any, do you? Explain how you think about the problem and why you chose one particular method among others. Here is an example of walking the interviewer through your thinking: “In this study, our goal is to understand why people do not use the share button even though they share screenshots of the app with their friends. We could do interviews and ask users. However, in this case, I think we need instant, contextual feedback. Interviews are not good for that, because they are not in situ and prone to memory biases. Therefore, I would suggest doing a single question survey that pops-up when users take screenshots.”
Now there’s a whole art and science behind how to make these decisions. I cannot and will not go into that in this article – but here are a few pointers: "When to Use Which User-Experience Research Methods" by Christian Rohrer and "Measuring the User Experience" by Tullis and Albert.
If you have a background in the academia, this is likely the most challenging one. In the world of industry, there is no such thing as “research for research’s sake.” Every research finding you come up with should have implications for how the products and features should be designed. The most important findings of your study are not the most interesting ones but the ones designers and engineers in your team can act on.
Think about how your past research had (or could have had) implications on design – even if you have never worked in the industry. If you already had industry experience, that's even better! Think about how things would have been different, had it not been for the amazing research you have done over time!
In my very first UX research job interview, I remember mentioning one study that I have done during my masters 5 years ago and the whole interview revolved around that very study. It was not even a study that I was proud of. The good news is, you can (almost) make sure you don't find yourself in this situation. It's true that you cannot pick your interview questions. However, you can pick your answers. To be more clear, you can decide which past research projects you want to talk about during the interview (as well as how to talk about them) if you prepare in advance.
In a common UX job interview, you will have time to talk about at most five past research projects. More likely it will be 2 to 3. Even if you had done more – I suggest you to limit your preparations to five projects you will good about. Think about all these projects from A to Z beforehand. What was the problem? How did you recruit people? What were the methods? Who did you collaborate with? Basically, think about EVERYTHING that happened during these projects in advance. That way when you get asked questions like “Tell me about a time where you had a disagreement with a colleague,” or “Tell me about a project where you had to change your methods when your first approach didn’t work?” you will not have to sift through every single study you have done since kindergarten and you will not have to rely on active thinking on the spot – which means less ‘err’s and ‘umm’s.
Also try to answer different questions with different projects whenever possible, so that you communicate breadth and depth!
More likely than not, you will know the names of the people who will interview you. There is no shame in googling your interviewer for any job interview. However, there is absolutely 100% no shame in googling your interviewers if you are applying for a research position! (It's a research position for God's sake!)
Knowing about your interviewer will set you apart in the end when the interviewers asks, “Do you have any questions for me?” Don’t just ask them any question – ask something that you became genuinely curious about when doing research on them. Say, if your interviewer was a designer by training such as yourself, you can ask them about their transition to UX research. If you found they did research overseas, you can ask them whether international research is common in the company. Basically, make your question personal and relevant. Don’t refrain from mentioning you did research on them. If you tell them that you ask this question based on a blog post they have written a couple years ago, I assure you that they are more likely to be pleased than creeped out.


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Mammal.
Size:
1.1m - 1.9m.
Color:
Tan, Yellow, Brown, White, Black.
Life Span:
12 - 15 years.
Main Prey:
Deer, Capybara, Tapir.
Predators:
Human.


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Monitor performance of various Linux subsystems.
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- Report I/O and transfer rate issued to physical devices, one per second (press CTRL+C to quit):
sar -b 1
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Ingredients
- 5-6 chicken thighs
- Salt and pepper
- 2 Tablespoons butter
- 1/2 red onion, diced
- 3 garlic cloves, minced
- 1 Tablespoon brown sugar
- 1/4 cup honey
- 1 teaspoon thyme
- 1 teaspoon oregano
- 1 bunch asparagus
Instructions
Preheat your oven to 400 degrees.
Heat an cast-iron or otherwise oven-safe skillet to medium-high and melt the butter in the pan. Salt and pepper the chicken thighs, then toss them into the pan and sear both sides. Remove the chicken.
Add to the pan the onions, garlic, brown sugar, honey, thyme and oregano. Stir together at high heat for a minute or two, then kill the heat. Put the chicken back in the skillet along with the asparagus. Bake for 25 minutes.


| lavInspect {lavaan} | R Documentation |
The lavInspect()
and lavTech()
functions can be used to
inspect/extract information that is stored inside (or can be computed from) a
fitted lavaan object. Note: the (older) inspect()
function is
now simply a shortcut for lavInspect()
with default arguments.
lavInspect(object, what = "free", add.labels = TRUE, add.class = TRUE, list.by.group = TRUE, drop.list.single.group = TRUE) lavTech(object, what = "free", add.labels = FALSE, add.class = FALSE, list.by.group = FALSE, drop.list.single.group = FALSE) inspect(object, what = "free", ...)
object |
An object of class |
what |
Character. What needs to be inspected/extracted? See Details for a
full list. Note: the |
add.labels |
If |
add.class |
If |
list.by.group |
Logical. Only used when the output are model matrices.
If |
drop.list.single.group |
If |
... |
Additional arguments. Not used by lavaan, but by other packages. |
The lavInspect()
and lavTech()
functions only differ in the way
they return the results. The lavInspect()
function will prettify the
output by default, while the lavTech()
will not attempt to prettify the
output by default. The (older) inspect()
function is a simplified
version of lavInspect()
with only the first two arguments.
Below is a list of possible values for the what
argument, organized
in several sections:
Model matrices:
"free"
:A list of model matrices. The non-zero integers
represent the free parameters. The numbers themselves correspond
to the position of the free parameter in the parameter vector.
This determines the order of the model parameters in the output
of for example coef()
and vcov()
.
"partable"
:A list of model matrices. The non-zero integers
represent both the fixed parameters (for example, factor loadings
fixed at 1.0), and the free parameters if we ignore any equality
constraints. They correspond with all entries (fixed or free)
in the parameter table. See parTable
.
"se"
:A list of model matrices. The non-zero numbers
represent the standard errors for the free parameters in the model.
If two parameters are constrained to be equal, they will have the
same standard error for both parameters.
Aliases: "std.err"
and "standard.errors"
.
"start"
:A list of model matrices. The values represent
the starting values for all model parameters.
Alias: "starting.values"
.
"est"
:A list of model matrices. The values represent
the estimated model parameters. Aliases:
"estimates"
, and "x"
.
"dx.free"
:A list of model matrices. The values represent the gradient (first derivative) values of the model parameters. If two parameters are constrained to be equal, they will have the same gradient value.
"dx.all"
:A list of model matrices. The values represent
the first derivative with respect to all possible matrix elements.
Currently, this is only available when the estimator is "ML"
or "GLS"
.
"std"
:A list of model matrices. The values represent
the (completely) standardized model parameters (the variances of
both the observed and the latent variables are set to unity).
Aliases: "std.all"
, "standardized"
.
"std.lv"
:A list of model matrices. The values represent the standardized model parameters (only the variances of the latent variables are set to unity.)
"std.nox"
:A list of model matrices. The values represent the (completely) standardized model parameters (the variances of both the observed and the latent variables are set to unity; however, the variances of any observed exogenous variables are not set to unity; hence no-x.)
Information about the data:
"data"
:A matrix containing the observed variables
that have been used to fit the model. No column/row names are provided.
Column names correspond to the output of lavNames(object)
,
while the rows correspond to the output of
lavInspect(object, "case.idx"
.
"ordered"
:A character vector. The ordered variables.
"nobs"
:Integer vector. The number of observations in each group that were used in the analysis.
"norig"
:Integer vector. The original number of observations in each group.
"ntotal"
:Integer. The total number of observations that
were used in the analysis. If there is just a single group, this
is the same as the "nobs"
option; if there are multiple groups,
this is the sum of the "nobs"
numbers for each group.
"case.idx"
:Integer vector. The case/observation numbers that were used in the analysis. In the case of multiple groups: a list of numbers.
"empty.idx"
:The case/observation numbers of those cases/observations that contained missing values only (at least for the observed variables that were included in the model). In the case of multiple groups: a list of numbers.
"patterns"
:A binary matrix. The rows of the matrix
are the missing data patterns where 1 and 0 denote non-missing
and missing values for the corresponding observed variables
respectively (or
TRUE
and FALSE
if lavTech()
is used.)
If the data is complete (no missing values), there will be only
a single pattern. In the case of multiple groups: a list of
pattern matrices.
"coverage"
:A symmetric matrix where each element contains the proportion of observed datapoints for the corresponding pair of observed variables. In the case of multiple groups: a list of coverage matrices.
"group"
:A character string. The group variable in the data.frame (if any).
"ngroups"
:Integer. The number of groups.
"group.label"
:A character vector. The group labels.
"level.label"
:A character vector. The level labels.
"cluster"
:A character vector. The cluster variable(s) in the data.frame (if any).
"nlevels"
:Integer. The number of levels.
"nclusters"
:Integer. The number of clusters that were used in the analysis.
"ncluster.size"
:Integer. The number of different cluster sizes.
"cluster.size"
:Integer vector. The number of observations within each cluster. For multigroup multilevel models, a list of integer vectors, indicating cluster sizes within each group.
"cluster.id"
:Integer vector. The cluster IDs identifying the clusters. For multigroup multilevel models, a list of integer vectors, indicating cluster IDs within each group.
"cluster.idx"
:Integer vector. The cluster index for each observation. The cluster index ranges from 1 to the number of clusters. For multigroup multilevel models, a list of integer vectors, indicating cluster indices within each group.
"cluster.label"
:Integer vector. The cluster ID for each observation. For multigroup multilevel models, a list of integer vectors, indicating the cluster ID for each observation within each group.
"cluster.sizes"
:Integer vector. The different cluster sizes that were used in the analysis. For multigroup multilevel models, a list of integer vectors, indicating the different cluster sizes within each group.
"average.cluster.size"
:Integer. The average cluster
size (using the formula
s = (N^2 - sum(cluster.size^2)) / (N*(nclusters - 1L))
).
For multigroup multilevel
models, a list containing the average cluster size per group.
Observed sample statistics:
"sampstat"
:Observed sample statistics. Aliases:
"obs"
, "observed"
, "samp"
, "sample"
,
"samplestatistics"
. Since
0.6-3, we always check if an h1 slot is available (the estimates
for the unrestricted model); if present, we extract the sample
statistics from this slot. This implies that if variables are
continuous, and missing = "ml"
(or "fiml"
), we
return the covariance matrix (and mean vector) as computed by
the EM algorithm under the unrestricted (h1) model. If the h1 is
not present (perhaps, because the model was fitted with
h1 = FALSE
), we return the sample statistics from the
SampleStats slot. Here, pairwise deletion is used for the elements
of the covariance matrix (or correlation matrix), and
listwise deletion for all univariate statistics (means, intercepts
and thresholds).
"sampstat.h1"
:Deprecated. Do not use any longer.
"wls.obs"
:The observed sample statistics (covariance elements, intercepts/thresholds, etc.) in a single vector.
"wls.v"
:The weight vector as used in weighted least squares estimation.
"gamma"
:N times the asymptotic variance matrix of the
sample statistics. Alias: "sampstat.nacov"
.
Model features:
"meanstructure"
:Logical. TRUE
if a meanstructure
was included in the model.
"categorical"
:Logical. TRUE
if categorical endogenous
variables were part of the model.
"fixed.x"
:Logical. TRUE
if the exogenous x-covariates
are treated as fixed.
"parameterization"
:Character. Either "delta"
or
"theta"
.
Model-implied sample statistics:
"implied"
:The model-implied summary statistics.
Alias: "fitted"
, "expected"
, "exp"
.
"resid"
:The difference between observed and model-implied
summary statistics.
Alias: "residuals"
, "residual"
, "res"
.
"cov.lv"
:The model-implied variance-covariance matrix
of the latent variables. Alias: "veta"
[for V(eta)].
"cor.lv"
:The model-implied correlation matrix of the latent variables.
"mean.lv"
:The model-implied mean vector of the latent
variables. Alias: "eeta"
[for E(eta)].
"cov.ov"
:The model-implied variance-covariance matrix
of the observed variables.
Aliases: "sigma"
, "sigma.hat"
.
"cor.ov"
:The model-implied correlation matrix of the observed variables.
"mean.ov"
:The model-implied mean vector of the observed
variables. Aliases: "mu"
, "mu.hat"
.
"cov.all"
:The model-implied variance-covariance matrix of both the observed and latent variables.
"cor.all"
:The model-implied correlation matrix of both the observed and latent variables.
"th"
:The model-implied thresholds.
Alias: "thresholds"
.
"wls.est"
:The model-implied sample statistics (covariance elements, intercepts/thresholds, etc.) in a single vector.
"vy"
:The model-implied unconditional variances of the observed variables.
"rsquare"
:The R-square value for all endogenous variables.
Aliases: "r-square"
, "r2"
.
Optimizer information:
"converged"
:Logical. TRUE
if the optimizer has
converged; FALSE
otherwise.
"iteratons"
:Integer. The number of iterations used by the optimizer.
"optim"
:List. All available information regarding the optimization results.
"npar"
:Integer. Number of free parameters (ignoring constraints).
"coef"
:Numeric. The estimated parameter vector.
Gradient, Hessian, observed, expected and first.order information matrices:
"gradient"
:Numeric vector containing the first derivatives of the discrepancy function with respect to the (free) model parameters.
"hessian"
:Matrix containing the second derivatives of the discrepancy function with respect to the (free) model parameters.
"information"
:Matrix containing either the observed or the expected information matrix (depending on the information option of the fitted model). This is unit-information, not total-information.
"information.expected"
:Matrix containing the expected information matrix for the free model parameters.
"information.observed"
:Matrix containing the observed information matrix for the free model parameters.
"information.first.order"
:Matrix containing the first.order
information matrix for the free model parameters. This is the
outer product of the gradient elements (the first derivative of
the discrepancy function with respect to the (free) model parameters).
Alias: "first.order"
.
"augmented.information"
:Matrix containing either the observed or the expected augmented (or bordered) information matrix (depending on the information option of the fitted model. Only relevant if constraints have been used in the model.
"augmented.information.expected"
:Matrix containing the expected augmented (or bordered) information matrix. Only relevant if constraints have been used in the model.
"augmented.information.observed"
:Matrix containing the observed augmented (or bordered) information matrix. Only relevant if constraints have been used in the model.
"augmented.information.first.order"
:Matrix containing the first.order augmented (or bordered) information matrix. Only relevant if constraints have been used in the model.
"inverted.information"
:Matrix containing either the observed or the expected inverted information matrix (depending on the information option of the fitted model.
"inverted.information.expected"
:Matrix containing the inverted expected information matrix for the free model parameters.
"inverted.information.observed"
:Matrix containing the inverted observed information matrix for the free model parameters.
"inverted.information.first.order"
:Matrix containing the inverted first.order information matrix for the free model parameters.
"h1.information"
:Matrix containing either the observed, expected or first.order information matrix (depending on the information option of the fitted model) of the unrestricted h1 model. This is unit-information, not total-information.
"h1.information.expected"
:Matrix containing the expected information matrix for the unrestricted h1 model.
"h1.information.observed"
:Matrix containing the observed information matrix for the unrestricted h1 model.
"h1.information.first.order"
:Matrix containing the
first.order information matrix for the the unrestricted h1 model.
Alias: "h1.first.order"
.
Variance covariance matrix of the model parameters:
"vcov"
:Matrix containing the variance covariance matrix of the estimated model parameters.
"vcov.std.all"
:Matrix containing the variance covariance matrix of the standardized estimated model parameters. Standardization is done with respect to both observed and latent variables.
"vcov.std.lv"
:Matrix containing the variance covariance matrix of the standardized estimated model parameters. Standardization is done with respect to the latent variables only.
"vcov.std.nox"
:Matrix containing the variance covariance matrix of the standardized estimated model parameters. Standardization is done with respect to both observed and latent variables, but ignoring any exogenous observed covariates.
"vcov.def"
:Matrix containing the variance covariance matrix of the user-defined (using the := operator) parameters.
"vcov.def.std.all"
:Matrix containing the variance covariance matrix of the standardized user-defined parameters. Standardization is done with respect to both observed and latent variables.
"vcov.def.std.lv"
:Matrix containing the variance covariance matrix of the standardized user-defined parameters. Standardization is done with respect to the latent variables only.
"vcov.def.std.nox"
:Matrix containing the variance covariance matrix of the standardized user-defined parameters. Standardization is done with respect to both observed and latent variables, but ignoring any exogenous observed covariates.
"vcov.def.joint"
:Matrix containing the joint variance covariance matrix of both the estimated model parameters and the defined (using the := operator) parameters.
"vcov.def.joint.std.all"
:Matrix containing the joint variance covariance matrix of both the standardized model parameters and the user-defined parameters. Standardization is done with respect to both observed and latent variables.
"vcov.def.joint.std.lv"
:Matrix containing the joint variance covariance matrix of both the standardized model parameters and the user-defined parameters. Standardization is done with respect to the latent variables only.
"vcov.def.joint.std.nox"
:Matrix containing the joint variance covariance matrix of both the standardized model parameters and the user-defined parameters. Standardization is done with respect to both observed and latent variables, but ignoring any exogenous observed covariates.
Miscellaneous:
"coef.boot"
:Matrix containing estimated model parameters for for each bootstrap sample. Only relevant when bootstrapping was used.
"UGamma"
:Matrix containing the product of 'U' and 'Gamma' matrices as used by the Satorra-Bentler correction. The trace of this matrix, divided by the degrees of freedom, gives the scaling factor.
"UfromUGamma"
:Matrix containing the 'U' matrix
as used by the Satorra-Bentler correction. Alias: "U"
.
"list"
:The parameter table. The same output as given
by parTable()
.
"fit"
:The fit measures. Aliases: "fitmeasures"
,
"fit.measures"
, "fit.indices"
. The same output as
given by fitMeasures()
.
"mi"
:The modification indices. Alias: "modindices"
,
"modification.indices"
. The same output as given
by modindices()
.
"loglik.casewise"
:Vector containing the casewise
loglikelihood contributions. Only available if estimator = "ML"
.
"options"
:List. The option list.
"call"
:List. The call as returned by match.call, coerced to a list.
"timing"
:List. The timing (in milliseconds) of various lavaan subprocedures.
"test"
:List. All available information regarding the (goodness-of-fit) test statistic(s).
"baseline.test"
:List. All available information regarding the (goodness-of-fit) test statistic(s) of the baseline model.
"baseline.partable"
:Data.frame. The parameter table of the (internal) baseline model.
"post.check"
:Post-fitting check if the solution is
admissible. A warning is raised if negative variances are found, or if
either lavInspect(fit, "cov.lv")
or
lavInspect(fit, "theta")
return a non-positive definite matrix.
"zero.cell.tables"
:List. List of bivariate frequency tables where at least one cell is empty.
"version"
:The lavaan version number that was used to construct the fitted lavaan object.
# fit model HS.model <- ' visual =~ x1 + x2 + x3 textual =~ x4 + x5 + x6 speed =~ x7 + x8 + x9 ' fit <- cfa(HS.model, data = HolzingerSwineford1939, group = "school") # extract information lavInspect(fit, "sampstat") lavTech(fit, "sampstat")


I was blessed to have a house in the middle of beautiful California weather, and I was also blessed to have such a big backyard.
Hi, I'm Erik Zhang. As of now, I'm going into 10th grade, and I just recently got into gardening. How?
In the summer of 2017, I came across this article. Inspired, and looking to pick up a new hobby, I decided it would be a good idea to start planting.
This blog is to document my journey gardening. From absolute failures to successes, it's more meant as a journal for myself, but I welcome everyone else to join the journey with me!
My first success!
After trying to plant about 10 plants, already 3 are dead. I need to be more careful with how much I water and may need to be more generous with the amount of fertilizer I use. But it's not all bad news! When I went out to check on the fig tree, I saw this!
I was ecstatic when I saw this. Here's to more successes!


{%extends "nav_events.html"%} {%block title%}Past events{%endblock%} {%block fullcontent%}
You are currently registered for the following upcoming events:
You have attended the following events:


{% extends "base.html" %}
{% import 'bootstrap/wtf.html' as wtf %}
{% block app_content %}
Adjacencies
|
|
{% for department_col in departments%}
{{ department_col.name }}
|
{% endfor %}
{% for department_row in departments %}
|
{{ department_row.name }}
|
{% for department_col in departments %}
{% if check_adj(department_row.name,department_col.name) == False%}
check_box_outline_blank
{% else %}
check_box
{% endif %}
|
{% endfor %}
{% endfor %}
| Name |
Adjacent to |
{% for department in departments %}
{% include '_department_adjacency.html' %}
{% endfor %}
{% endblock %}


Hi, Please enter your number into either the fahrenheit or Celscius Boxes .
Enter your Celscius here
˚ C
is equal to
Fahrenheit can Be found here:
˚F


The valkyries have ferried your soul to the tenth norse world as a custodian, where you must adventure to the ends of the realm, from the deepest forest to the highest mountain peak, slaying beasts of myth and legend feared by Odin himself. You will craft powerful weapons, build unyielding castles and sail longships towards the horizon to prove yourself to the Allfather, and certainly die trying!
A battle-slain warrior, the Valkyries have ferried your soul to Valheim, the tenth Norse world. Besieged by creatures of chaos and ancient enemies of the gods, you are the newest custodian of the primordial purgatory, tasked with slaying Odin’s ancient rivals and bringing order to Valheim.


ITCSS
Inverted Triangle CSS
ITCSS in a nutshell
Separates CSS codebase into "layers"
ITCSS in a nutshell
Separates CSS codebase into "layers"
ITCSS in a nutshell
Separates CSS codebase into "layers"
- Settings: variables. Font, colors definitions, etc. No output.
- Tools: mixins and functions. No output.
- Generic: reset and/or normalize styles.
- Elements: bare HTML elements (like H1, A, etc.).
- Objects: class selectors which define undecorated design patterns, like the media
object from OOCSS.
- Components: specific UI components. Majority of code.
- Trumps: utilities and helper classes with ability to override anything.
ITCSS in a nutshell
Merits
- Helps to build a library of reusable components
- Less specificity war
- Compatible with BEM, SMACSS or OOCSS
- Helps to deal with cascade and selectors specificity
ITCSS in a nutshell
Faults
- Difficult to qualify styles, what category?
- Hard to maintain adherence to those definitions
- No documentation. Partially proprietary


Column one
You'll notice that even though this column has far more content in it, instead of the other columns ending early, they size themselves to meet the end of this column vertically.
Column two
This is a column with not much content.
Column Three
Normally, the only way to achieve this would be either a hack, or to set all boxes to min-height.
Column Three
Normally, the only way to achieve this would be either a hack, or to set all boxes to min-height.


Warning: Actions execute in the context of an active tab and can potentially open you to XSS attacks. Be sure you trust the code your are executing :).


Printer Drivers are very important but at the same time not something that any geode you write is going to interact with. Printer Drivers take care of translating the device-independent graphics commands into forms that individual models of printers can work with. Drivers also provide the Spooler with information about the printer and provide printer-specific UI to the Print Control.
As long as a geode uses only device-independent graphics commands, that geode need not worry about printer drivers. In fact, the only geodes that require knowledge of printer drivers are those that use Raw Mode (see below) printing and access the printer drivers directly. To incorporate Raw Mode printing into a geode (normally a bad idea), keep reading. Whether or not the geode you're writing will interact with Printer Drivers, you might want to continue reading this section to find out what printer drivers do.
When dealing with a printer that has no page description language, the Spooler and Printer Driver have to be clever. First the Spooler allocates an offscreen bitmap and plays back the contents of the spool file into the bitmap. It does this through the vidmem driver, which has the same interface as a video driver but draws to offscreen bitmaps instead of to a device. Once the bitmap is complete, the Spooler starts feeding the bitmap to the Printer Driver, which translates the bitmap into a series of commands to the printer. If (as is often the case) the printer doesn't have enough memory to absorb a whole page's worth of data at a time, the Printer Driver feeds in one horizontal band, or "swath" of the bitmap at a time. This also allows for better backgrounding: The driver can feed in a swath, then block and allow other threads to complete other tasks until the printer is ready for the next swath.
When dealing with an "intelligent" printer, a printer that has its own page description language, the Spooler bypasses most of the work it has to do when dealing with dumb printers. Since an intelligent printer presumably has some commands with GEOS equivalents, the Spooler doesn't bother with creating a bitmap but just passes the GString on to the Printer Driver. The Printer Driver then builds a page description in the printer's native language based on the contents of the GString.
If you want to use some printer-specific command that doesn't have an equivalent in the GEOS graphics system, you will use raw mode. Raw Mode printing expects that you know what sorts of commands the printer will be expecting. If you try to send PostScript commands to a printer that doesn't understand PostScript, probably the results won't be the desired output.
SpoolGetNumPrinters(), SpoolGetPrinterString(), SpoolGetPrinterInfo(), SpoolCreatePrinter(), SpoolDeletePrinter(), SpoolGetDefaultPrinter(), SpoolSetDefaultPrinter()
If you want to find out something about a printer without accessing the printer driver directly, the spool library provides a number of utility routines that work with printer drivers.
Most of these functions specify which of a user's printers they wish to work with by passing its printer number. The first installed printer will be printer number zero, the second printer will be number one, and so on. Use the
SpoolGetNumPrinters()
routine to find out how many printers have been installed. Once you have this number, you have an upper bound for printer numbers to test. There will always be fewer than MAXIMUM_NUMBER_OF_PRINTERS
printers.
The
SpoolGetPrinterString()
and
SpoolGetPrinterInfo()
routines return information about the printer associated with the passed printer number.
SpoolGetPrinterString()
returns the a string containing the name of the printer, such as "HP DeskJet on COM1." The printer string will be of length at most
MAXIMUM_PRINTER_NAME_LENGTH.
SpoolGetPrinterInfo()
returns various pieces of information helpful to geodes that work with printers directly.
The
SpoolCreatePrinter()
and
SpoolDeletePrinter()
routines can install and uninstall printers, tasks probably best left to the Preferences Manager.
The
SpoolDeletePrinter()
routine uninstalls the printer corresponding to the passed printer number. It is easy to use but not something that most geodes should be doing.
SpoolCreatePrinter()
installs a new printer, returning the new printer's printer number. Note that any geode calling this latter function is going to be expected to provide considerable information about the printer being installed. Again, this is not a routine that many geodes should be using.
SpoolGetDefaultPrinter()
returns the number of the system-default printer.
SpoolSetDefaultPrinter()
makes the printer associated with the passed printer number the new system-default printer. Note that these routines are concerned with the system-default printer as opposed to the application-default printer. Most applications won't specify an application specific default printer. For these applications, the system-default printer will be the default. Of course, the user will still be allowed to select any printer, ignoring the default.


This is the event page. Just say something here.
Create an Event
Events you participate in.
Explore fascinating events!


The 'Streamulus' (template, header-only) library by Irit Katriel (at <https://github.com/iritkatriel/streamulus>) provides a very powerful yet convenient framework for stream processing. This package connects 'Streamulus' to R by providing both the header files and all examples.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.0.0) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp, BH |
| Published: | 2016-08-05 |
| Author: | Dirk Eddelbuettel |
| Maintainer: | Dirk Eddelbuettel <edd at debian.org> |
| BugReports: | https://github.com/eddelbuettel/rcppstreams/issues |
| License: | GPL (≥ 3) |
| URL: | http://dirk.eddelbuettel.com/code/rcpp.streams.html |
| NeedsCompilation: | yes |
| Materials: | README NEWS ChangeLog |
| CRAN checks: | RcppStreams results |
| Reference manual: | RcppStreams.pdf |
| Package source: | RcppStreams_0.1.1.tar.gz |
| Windows binaries: | r-devel: RcppStreams_0.1.1.zip, r-release: RcppStreams_0.1.1.zip, r-oldrel: RcppStreams_0.1.1.zip |
| OS X binaries: | r-release: RcppStreams_0.1.1.tgz, r-oldrel: RcppStreams_0.1.1.tgz |
| Old sources: | RcppStreams archive |
Please use the canonical form https://CRAN.R-project.org/package=RcppStreams to link to this page.


Big Time Series Initiative
This initiative aims at:
- setting standards,
- defining best practices,
- designing frameworks,
- and building platforms
in order to facilitate:
- collection/ingestion,
- storage,
- processing,
- and visualization
of time series data on the big data scale.
This initiative is to be led and directed by individuals but not by for-profit organizations. We encourage business to share problems and usecases. We encourage researchers to propose and point out to solutions. We encourage engineers to implement and build systems.
Big Time Series Pipeline
The goal is to put the suitable components in each stage and make the connection among stages possible. That would be achieved by either:
- using existing open source components,
- making new ones,
- or enabling existing ones.


Engage in a collaborative workspace.
Your tuition includes a Hub Unlimited membership at Impact Hub Salt Lake, connecting you to a local and global network of changemakers and game-changing organizations.
We teach code to novices so they can get jobs in a modern development environment. Our 10-week, after-hours proto-course is flexible for working pros, but robust enough for quick learners. CodeHub is housed inside Impact Hub Salt Lake, a community of social entrepreneurs working to make an impact on our community and the world at large.
$2000
June 23rd - August 29th
When you use something every day, extra proficiency adds up quickly. Whether you want to become an expert software developer, or just know how to talk the language with engineers, we will help you achieve confidence inspiring skills.
Working in a team environment
Communicating with a project manager
Speaking and presenting ideas
Managing time and working with Agile & Scrum processes
Your tuition includes a Hub Unlimited membership at Impact Hub Salt Lake, connecting you to a local and global network of changemakers and game-changing organizations.
Don't worry, we don't like listening to lectures either. That's why you will be spending the majority of your time working on real projects with team members. And when you're done, you'll have something to put your name on that will make you proud.


| DOSE: T+ 0:00 |
4 hits |
smoked |
Cannabis |
(plant material) |
| T+ 0:00 |
100 seeds |
oral |
Datura |
(seeds) |
| T+ 1:00 |
50 seeds |
oral |
Datura |
(seeds) |
Four of us (me, my boyfriend Ricky, Bevan and Jeff) were staying at a beach house in a relatively remote location on the West Coast of New Zealand.
We’d spent the entire day sleeping, chilling, running round, and carving the beautiful blue waves, so we decided what better way to end the day than with a nice sesh on the porch. So out came 2 tinnies worth of weed, the bong, and the lighters. I’d had about 4 potent hits when I felt nicely mellowed out, and decided to stop there. We’d eaten quite a bit that evening. Lot’s of fresh fruit from a nearby orchard, and barbecued fish – so our stomachs were by no means empty.
Ricky brought 8 Datura seed pods with him, each containing between 80-100 seeds. Since there were four of us, two people would have to baby sit while the other two could pop some seeds. Although I’m nearly 6 foot - being a chick, there was no way I could restrain any of the guys if the need came, so I was one of the seed poppers. Jeff had never done datura before, so he was a natural choice too. Besides, Ricky and Bevan were more than happy to keep their lips round the bong, and laugh their asses off at us.
7pm - I opened 2 seed pods. One for me, one for Jeff – and we swallowed down the seeds. Prior to this experience, I’d done datura 3 times, but never had over 60ish seeds in one sitting – so I decided I was ready to experiment with a bit more, and explore deeper.
8pm - We spent the next hour talking shit, and eating marshmallows with no clear effects setting in yet – so I popped another 50 seeds. Big mistake! Apart from the effects of the weed, I felt completely normal. I could stand and walk fine, and hold a slightly slurred but coherent conversation.
8:15pm - After another 15 mins, I started feeling increasingly warm. Despite it being a chilly night, my body was radiating a huge amount of heat. This is when the hallucinations started. I felt like I was sunbathing. Though it was dark by now, I felt the sun envelope my body, and drizzle it with golden rays of warmth. It felt divine. Everything was warm, loving, and inviting. Apparently by now I was down to my bra and knickers. My heart rate increased dramatically. I knew it was kicking in.
9pm - I was smoking a spliff which didn’t exist – and “dropped it” (which I’ve read is very common in datura use), so I crawled around looking for it – to no avail. I figured it must have somehow fallen through the floorboards of the porch – though that was technically impossible. I stepped off the porch and lay on the grass below – gazing at the stars. I felt like me and the stars were One. We were the same.  To me, they were tangible diamonds in the sky, and I was too. I could see for billions of miles into the sky. It was one enormous eternity of stars in patterned clusters. Although I was definitely hallucinating, everything felt intensely real. My mind felt normal. Although my speech was slightly slurred, and my walk was a little crooked.
 I HATE bugs, so I frantically rolled down the slight decline of grass onto the sand. This was the last thing I clearly remember, everything else is as told by Ricky, Bevan, my faint memories, and the camera footage taken that night.
This is also where things started going wrong… I felt insatiable thirst, and like I was stranded. I was yelling out for help – but only a mumble of jumbled words came out. I wasn’t making any sense. I spent a good hour playing in the sand, throwing shells, and rolling round. I picked up sand with my hand, and watched it drop. I was mesmerized by its sheer awesomeness. I vaguely remember feeling like I was in a desert, and I felt intense fear and paranoia. Nothing seemed safe.
The sun still felt as if it was beaming down delicious rays of heat. I was crawling on the sand, thirsty, desperate.   I could only see things that were around 10 meters away… everything else faded into a bright light. I still have flashbacks and experience this at times.
It felt like hours and hours has passed, but it was actually only 20 minutes. I don’t know what went on in my head during that time, but it was frightening. I remember images of bright red giant bolts; far larger than a house (I‘ve experienced this “red bolt” hallucination many times before).
30 meters from me, the ocean roared. I heard the sound of water, and wanted to run towards it, dive into this pool of infinity and swallow water forever. Without warning, I snapped onto my feet, and ran like a bullet, dodging obstacles which didn’t exist as I ran towards the water. Ricky was only 10 or so meters away from me when I suddenly jolted. I heard heavy loud footsteps behind me, going faster than me. To me, the water was safety – I was being chased, and the water was my only chance of survival. I managed to run into the shallows of the water, when I felt sharp claws dig into my bare flesh from behind, and a force throw me onto the wet sand behind me.
 I was moving frantically trying to escape his grasp, but I couldn’t. He lay on top of me, holding me down, for 30 odd minutes. My screaming had turned to tears, and my kicking and punching had turned into scratching and hair pulling. I had very little control over my body – everything just happened without my minds permission. I was on auto-pilot. I was so scared, so helpless, so alone, and so vacant. I had no idea where Jeff, Bevan or Ricky were. They vanished long ago. I called for them several times throughout my experience, but they never appeared to come.
My mind was GONE. Everything seemed incredibly real, and I found it impossible to separate reality from fantasy. Because as far as I knew, everything was real.
Ricky carried and dragged me into the beach house, and held me up in the shower… I was an absolute mess, physically and emotionally. I could no longer stand properly, and would sway from side to side begging it to stop. The water burned. It felt like it was sizzling as it ran down my back. But I gave into it, and let it burn and melt me away. I literally felt like I was going down the drain. I thought the grains of sand being washed off my skin were pieces of me, swirling down, being carried by the burning acid water, deep down into the drain, as if they meant nothing. I vomited 4 times, with 30 second minute intervals between each. I stressfully started talking about being literally turned inside out, and again, I begged for it to stop. I let it all happen with no physical fight. It was a hugely frightening experience.

I suddenly noticed Ricky in the shower, holding me up. He looked different to how I remember… Far older, and getting bigger and bigger the more I looked at him. I remember seeing my nose in the bottom corner of both eyes, which appeared to grow too. I could barely concentrate on anything, but his eyes managed to pierce right through me.
Ricky dried me off and put me into bed. The entire room was spinning and turning upside down.  I was hanging off the bed, rolling around, and singing to myself. The music I heard (which was all in my head) was the most complex, incredible thing I have ever heard. I thought of it like a sky scraper – layer upon layer upon layer, jammed together to create this mind blowing fusion of beats and notes. I can’t explain how amazing it was. It was my calm in the storm. By now it was around 4am, and I was over the worst.
I was so exhausted, but I couldn’t sleep. I was incredibly restless - tossing and turning constantly. A figure appeared, and I talked to it. I was actually talking to myself, and speaking both parts of the conversation. I remember drifting in and out of reality. There were moments when I thought I was going mad, and other times I managed to convince myself it was just a dream. I still didn’t know where I was, or how I got there, but the feeling of threat was no longer present.
I must of fallen asleep, where I had the most amazing dream – which can’t possibly be real. It was pretty X-Rated, so I probably shouldn’t go into any detail.
I remember reading a book in my mind. I knew all the words. I then gradually woke up, but was still reading this book in my head. I had massive cuts and bruises all over my body – which were actually just minor scrapes. So yes, I was still having hallucinations.
I remember everything which happened from here on out.
 I would drift in and out of reality and imagination every so often, but by now – I knew things I saw weren’t real.
The rest of the story is fairly boring and uneventful. But the main effects of the datura lasted around 24 hours. I had difficulty understanding basic things, yet I could understand incredibly complex things in my head. Even now (2 months after) I sometimes still see everything around me fade into a white light.
As I said earlier, I’ve experimented with datura before – but this was the first and last time I’ll have 150 seeds. I’d enjoyed it in the past, but I definitely won’t be doing it EVER again. Although my account of what happened may not sound so scary to the reader, I cannot emphasise enough how truly frightening this experience was.
In the past I’ve also done LSD several times. The thing that I both love and hate about datura, is that I really couldn’t separate reality from hallcinations. However, on acid, I knew I was seeing things that didn’t exist. I’ll definitely take acid again, but I’ll never swallow another datura seed in my life.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Application only for private use
Details patient's visit ::
Choose patient from list
Choose date and hour visit
Choose place visit
Doctor name
Important comments


--- layout: post status: publish published: true title: "公务员考试报名现场实况" author: Leask author_login: leask author_email<EMAIL_ADDRESS>author_url: https://leaskh.com wordpress_id: 288 wordpress_url: http://leaskh.wordpress.com/2008/03/20/%e5%85%ac%e5%8a%a1%e5%91%98%e8%80%83%e8%af%95%e6%8a%a5%e5%90%8d%e7%8e%b0%e5%9c%ba%e5%ae%9e%e5%86%b5 date: '2008-03-20 01:30:05 +0800' date_gmt: '2008-03-20 01:30:05 +0800' categories: tags: [] comments: [] ---


2 references to DoProcessRecordWithInput
System.Management.Automation (2)
engine\ScriptCommandProcessor.cs (2)
377
DoProcessRecordWithInput
();
407
DoProcessRecordWithInput
();


Equivalent to clicking the Set Criteria command on the Data menu in Microsoft Excel version 4.0. Defines the name Criteria for the selected range on a sheet or macro sheet.
Syntax
SET.CRITERIA( )
Related Functions
SET.DATABASE Equivalent to clicking the Set Database command on the Data menu in Microsoft Excel version 4.0
SET.EXTRACT Equivalent to clicking the Set Extract command on the Data menu in Microsoft Excel version 4.0
Return to index


Kipling is Searching for the following devices, if your device is not found please try again.
Kipling does not support the following LabJack devices:
Navigate to LabJack's LabJack Applications website page to determine the correct application for your device.
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| bit_setops {bit} | R Documentation |
Fast versions of union
, intersect
,
setdiff
, symmetric difference and setequal
for integers.
bit_union(x, y) bit_intersect(x, y) bit_setdiff(x, y) bit_symdiff(x, y) bit_setequal(x, y)
x |
an integer vector |
y |
an integer vector |
determines the range of the integers and checks if the density justifies use
of a bit vector; if yes, uses a bit vector for finding duplicates; if no,
falls back to union
, intersect
,
setdiff
, union(setdiff(x,y),setdiff(y,x))
and setequal
an integer vector
bit_union
: union
bit_intersect
: intersection
bit_setdiff
: asymmetric difference
bit_symdiff
: symmetricx difference
bit_setequal
: equality
bit_union(1:2, 2:3) bit_intersect(1:2, 2:3) bit_setdiff(1:2, 2:3) bit_symdiff(1:2, 2:3) bit_setequal(1:2, 2:3) bit_setequal(1:2, 2:1)


In this post we will learn how to perform grouping using new Java 8 Stream API. We will be working with the following list of students:
Let’s start by grouping students by country, this is fairly simple:
All we needed to do was to use groupingBy
collector from Collectors
class.
groupingBy
collector takes single parameter called classifier
that assigns grouping key
to every stream element.
In our example we used method reference Student::getCountry
(which is equivalent to lambda expression student -> student.getCountry()
) to
tell groupingBy
that we want to group students by country
(in other words country was our grouping key).
By default elements with the same key are gathered into List<T>
,
we may change this behaviour by specifying second parameter to groupingBy
,
for example:
Here again we used method reference ArrayList::new
which is a shorter way
to write () -> new ArrayList()
.
Now you may start wondering how it works, actually groupingBy
can
take any collector as a second argument. Diagram below illustrates how
the call to groupingBy(classifier, collector)
is executed:
As you can see on the diagram, groupingBy
first
divides stream elements into groups according to values returned by classifier
, then
it uses collector
to get the final value for each group.
With our new groupingBy
knowledge we may start writing more
interesting groupings.
For example let’s count number of students per country,
code below does the job:
It works thanks to standard counting()
collector that just counts number of elements
passed to it.
And what about average student score per country? No problem with that:
Thanks to averagingInt()
collector that - you guess it - computes average of
int
s passed to it (notice that it returns Double
).
One more example before we move forward, let’s compute max student age per country:
Here we do something more complex, we use mapping(mapper, downstream)
collector that transforms every element passed to it using mapper
function
and then passes that transformed element to downstream
collector.
So what we do here is that we first group students by country, then in every
group we map every student to his/her age and we pass that age to maxBy()
collector
that finally computes max age in every group.
That was something but what about this Optional<Integer>
s in the results?
maxBy()
collector returns Optional<T>
to signify that sometimes it
cannot compute maximum e.g. it happens when we use maxBy()
on empty stream.
We may fix problem with optionals if we map maxBy()
result via Optional::get
collectingAndThen()
collector does exactly that:
Since we may pass any collector as a second argument to groupingBy
,
we may pass another groupingBy
collector - this way we may group
stream elements by more than one criteria.
For example let’s group students by country and age:
That’s all for today, now go and write some code!


Planning a weekend getaway? Our outstation cab services will help you explore the best destinations, visit all the must-see places and taste the best local food.
Decided to take a personal day and spend the whole day exploring your city? Our local taxi packages will help you explore the best places to eat and drink at, some of the city's majestic monuments, greenest parks and oldest temples. You'll never have to worry about an empty travel itinerary again.
Did you just land at an airport or railway station closest to your destination? No problem! You can use our airport taxi, the transit pick up service to cover the last mile. We'll get you to your destination and show you some of the best sights along the way.


Buying and selling of used bikes is a huge industry. For this project, we crawl data from 2 of the most popular Indian websites that let you buy and sell used bikes - BikeDekho and BikeWale. Our goal is to extract relevant information from the both the websites and match them to find if the exact same bike is being sold at a cheaper price on the other website. We have crawled 4953 BikeDekho postings and about 25412 BikeWale listings.
{{item.notes}}
{{item.notes}}


| plot {spatPomp} | R Documentation |
spatPomp
dataVisualize spatPomp
data
Diagnostic plot for igirf()
Visualize spatPomp
data
## S4 method for signature 'igirfd_spatPomp'
plot(x, params = names(coef(x)), ncol = 3)
## S4 method for signature 'spatPomp'
plot(x, type = c("l", "h"), log = F, ...)
x |
a |
params |
the names of the parameters for which the user would like to see a trace plot |
ncol |
the number of columns in the grid plot |
type |
for visualizing an object of class |
log |
should the data be log-transformed before plotting? This helps in contexts where there are spikes that could take away attention from the dynamics illustrated by the rest of the data. |
... |
for visualizing an object of class |
a ggplot
facet plot of class ‘gg’ and ‘ggplot’ visualizing
the convergence record of running igirf()
with respect to the likelihood and the parameters of the model.
a ggplot
plot of class ‘gg’ and ‘ggplot’ visualizing
the time series data over multiple spatial units via a tile-plot.


Linux + OpenSBI
Linux + Legacy BBL
xv6 (tiny OS)
Run
Debugger
Linux
,
xv6
on
RISC-V processor emulator in Rust+WASM


Table with sortable headings and global search
Simple table with column search
Sort by nearest city
| City |
Coordinates |
Distance |
| Lindesberg | @59.5994689,15.2132325 | |
| Tokyo | @35.6708364,139.7532926 | |
| Sydney | @-33.8981029,151.1612396 | |
| Stockholm | @59.3275993,18.0524296 | |
| New York | @40.7026091,-74.1197629 | |
| Rio de Janeiro | @-22.9097071,-43.1925625 | |
Case insensitive and sort value
| Case sensitive text values |
Case insensitive text values |
Numeric values |
| bbb |
bbb |
Two |
| AAA |
AAA |
3 |
| DDD |
DDD |
-1 |
| ggg |
GGG |
XVI |
| eee |
AAA |
Zero |
| ccc |
ccc |
1 |
| fFf |
aaa |
Ten |


Privacy
This user has blocked access to this information via their Bungie.net privacy settings.
0">
0"
(opened)="opened(checklist.hash)">
{{checklist.name}}
[{{checklist.hash}}]
{{checklist.complete}} / {{checklist.total}}
{{checklist.name}}
[{{checklist.hash}}]
{{t.char.className}}
{{t.complete}}/{{t.total}}
- Entropic Shards and Dead Exos are numbered by Bungie's Manifest. Other sources may number them differently (since streamers discovered these prior to Bungie making a checklist for them)
- Penguins seem to be dropping weekly, site will be updated as they're found.
- Penguins are not checked until you place them in their rookery (room nextdoor to Variks).


This is a monitoring and management user interface for Spring Batch applications
All applications have to register themselves at this server application or the server can be embedded within the client.


A collection of functions for interpretation and presentation of regression analysis. These functions are used to produce the statistics lectures in <http://pj.freefaculty.org/guides>. Includes regression diagnostics, regression tables, and plots of interactions and "moderator" variables. The emphasis is on "mean-centered" and "residual-centered" predictors. The vignette 'rockchalk' offers a fairly comprehensive overview. The vignette 'Rstyle' has advice about coding in R. The package title 'rockchalk' refers to our school motto, 'Rock Chalk Jayhawk, Go K.U.'.
| Version: | 1.8.129 |
| Depends: | R (≥ 2.10) |
| Imports: | grDevices, methods, lme4, carData, MASS, kutils |
| Suggests: | tables, Hmisc, car |
| Published: | 2018-11-09 |
| Author: | Paul E. Johnson [aut, cre], Gabor Grothendieck [ctb] |
| Maintainer: | Paul E. Johnson <pauljohn at ku.edu> |
| License: | GPL (≥ 3.0) |
| NeedsCompilation: | no |
| Materials: | NEWS ChangeLog |
| CRAN checks: | rockchalk results |
| Reference manual: | rockchalk.pdf |
| Vignettes: |
Rchaeology Rstyle Using rockchalk |
| Package source: | rockchalk_1.8.129.tar.gz |
| Windows binaries: | r-devel: rockchalk_1.8.129.zip, r-release: rockchalk_1.8.129.zip, r-oldrel: rockchalk_1.8.129.zip |
| OS X binaries: | r-release: rockchalk_1.8.129.tgz, r-oldrel: rockchalk_1.8.129.tgz |
| Old sources: | rockchalk archive |
| Reverse imports: | semPlot |
| Reverse suggests: | kutils, stationery |
Please use the canonical form https://CRAN.R-project.org/package=rockchalk to link to this page.


Switch Component: Toggle Button
Published:
Last updated:
Pattern to create a toggle button
,
visually styled to resemble a switch
component.
Pattern Demo
ARIAVisual design note
Switch toggle buttons are commonly represented as a visual text label and a switch UI, or as a text label with a switch UI that has its own "On" and "Off" labeling.
By default, the component outputs the unlabeled switch UI. Using the attribute data-switch-toggle-labels
or manually adding a class of toggle-switch--labels
, the component will add "on" and "off" labels to the switch UI.
Pattern Details
Pattern Markup

Progressively Enhanced Toggle

<button type="button"
data-switch-toggle
data-switch-toggle-labels
data-switch-toggle-pressed
disabled>
Native Button Toggle
</button>

<button type="button"
class="toggle-switch toggle-switch--labels"
aria-pressed="true/false">
button text (label) here

</button>
The baseline markup for this component is simply a button
or an element that can be progressively enhanced into a role=button
. The different data-
attributes fire off different hooks in the setup script. Ideally a toggle button would be hidden or disabled by default, and then revealed or enabled when the script runs. Doing so would ensure users without JavaScript wouldn't be able to interact with toggle buttons that didn't do anything.
The JavaScript
Largely the JavaScript for this component is in place to modify the state of the toggle button, when a user engages with it. Any additional functionality for a "switch toggle button" would be custom and unique to the interface it was used within, and thus needs to be added by the developer implementing the component.
During the setup process for a toggle button, the JavaScript will progressively enhance a button
(or a non-button
element) into a toggle button.
The necessary attributes will be added to the element, and a child element to serve as the switch UI will be created, if such an element does not already exist and is identified by having the data-switch-toggle-ui
attribute.
Affects on Screen Reader Announcements?
When a button
or role="button"
has an aria-pressed
attribute, it will be announced by screen readers as a "toggle button". While not the same as announcing "Switch", the general concept of these two components is similar, and the aria-pressed
attribute has far better support across all browsers and screen readers.
Along with the shift in announcement from button
to toggle button
, screen readers will also announce the current state of the element. The following definition list details the announcements for each screen reader and browser pairing:
- JAWS 18 / 2018 + Internet Explorer 11
-
When not selected, the toggle button is announced as:
[Accessible Name] toggle button
If activated, the word "pressed" is announced after "toggle button".
JAWS 18: when actively toggling the button, JAWS will only announce the name of the key that was pressed (space or enter).
JAWS 2018: when toggling the button for the first time, JAWS will announce:
[Key used to toggle button] [Pressed or Not Pressed], [Accessible Name]
. Subsequent toggles will drop the announcement of the accessible name. - JAWS 18 + Firefox ESR, JAWS 2018 + Firefox ESR + 63 (nightly)
-
When not selected, the toggle button is announced as:
[Accessible Name] toggle button
.If activated, the word "pressed" is announced after "toggle button". When actively toggling the button, JAWS will announce the name of the key that was pressed (space or enter), "toggle button pressed/not pressed" and then the accessible name of the toggle button.
Note: for the second example, where "on" and "off" are part of the switch UI, JAWS 18 & 2018 + FireFox ESR will announce this CSS content as part of the accessible name of the toggle button, even though "on" and "off" are contained within a
span aria-hidden="true"
. JAWS 2018 + FireFox 63 (nightly) correctly do not announce thearia-hidden
content. - JAWS 18 / 2018 + Chrome (latest)
-
When not selected, the toggle button is announced as:
[Accessible Name] toggle button
.If activated, the word "pressed" is announced after "toggle button". When actively toggling the button, JAWS will announce the name of the key that was pressed (space or enter), "toggle button pressed/not pressed" and then the accessible name of the toggle button.
- NVDA 2018.2.1 + Firefox ESR + 63 (nightly) and Chrome (latest)
-
When not selected, the toggle button is announced as:
[Accessible name] toggle button, not pressed.
If activated, it will instead announce as "pressed". When actively toggling the button, NVDA will announce "pressed" or "not pressed" to match the updated state of the toggle button.
- VoiceOver + Safari 11.1.1 on macOS High Sierra
-
When not selected, the toggle button is announced as:
[Accessible Name], toggle button. To select or deselect this checkbox, press control-option-space.
If activated, the word "selected" will be announced prior to the accessible name of the toggle button. When actively toggling the button, VoiceOver will announce "selected" or "deselected" prior to "toggle button".
Note: the announcement of "checkbox" by VoiceOver is odd.
- VoiceOver + Safari on iOS 11.3 to 12.0
-
When not selected, the toggle button is announced as:
[Accessible Name], toggle button. Not Pressed. Double tap to toggle setting.
If activated, the word "Pressed" will be announced instead of "Not Pressed". When actively toggling the button, VoiceOver will make a clicking sound effect when the state changes, and announce "checked" when
aria-pressed="true"
. Beyond the sound effect, VoiceOver will make no announcement when the toggle button is set toaria-pressed="false"
. - TalkBack (Android Accessibility Suite 6.2) + Android Chrome
-
When not selected, the toggle button is announced as:
[Accessible Name], not checked, toggle button. Double-tap to toggle.
If activated, "not checked" will be replaced with "checked". When actively toggling the button, TalkBack will simply announce "on" or "off" correlating to the current state.
Usage note:
Using a "switch" toggle button vs a "switch" checkbox, or even a switch made of radio buttons will depend on the context of which the component is used, and if toggle button vs checkbox or radio announcements would be more appropriate.
Ideally a button
or input type="checkbox"
with a role="switch"
would be used when creating a "switch" component. But until all popular browsers and assistive technologies correctly interpret role="switch"
, it would be best to rely on the consistent behavior (regardless of varied announcements) of toggle buttons.


Gateway
BOT
04-Jul-18 11:26 AM
[dscrdeql] <Aspire219> check out mine
[dscrdeql] <Aspire219> its awesome
[dscrdeql] <Kitty> really nice pics...
[dscrdeql] <jellysmash> so that's why you think ironman is overrated...mr batman
[dscrdeql] <Kitty> where you find this pic
[dscrdeql] <Aspire219> haha. yea
[dscrdeql] <Aspire219> im biased
[dscrdeql] <Aspire219> lmao
[dscrdeql] <jellysmash> yes so it would seem
[dscrdeql] <jellysmash> but I also like Robert Downy Junior
[dscrdeql] <jellysmash> like Shrelock holmes
[dscrdeql] <Kitty> hahahah
[dscrdeql] <jellysmash> he was great in that
[dscrdeql] <Kitty> so nice
[dscrdeql] <Kitty> i really love ironman
[dscrdeql] <Kitty>
[dscrdeql] <jellysmash> I wish they did a 3rd Sherlock Holmes movie
[dscrdeql] <Kitty> i want to marry him
[dscrdeql] <jellysmash> m'kay
[dscrdeql] <Aspire219> lol
[dscrdeql] <Aspire219> he's old....
[dscrdeql] <Aspire219> unless u r into that
[dscrdeql] <Aspire219> haha
[dscrdeql] <jellysmash> what's the reverse of a MILF?
[dscrdeql] <Aspire219> DILF
[dscrdeql] <jellysmash> and I don't mean FLIM
[dscrdeql] <Aspire219> i dunno. lolz
[dscrdeql] <jellysmash> yeaaa, probably DILF
[dscrdeql] <Kitty> what does it mean
[dscrdeql] <tanya> dont ask
[dscrdeql] <Kitty> what-0-
[dscrdeql] <Kitty> i dont even know
[dscrdeql] <AndronicusBass-Founder> Great topic of discussion lol. Do tell more
[dscrdeql] <Kitty> whats that
[dscrdeql] <AndronicusBass-Founder> not, JK
[dscrdeql] <Kitty> looks like a bad thing
[dscrdeql] <tanya> not kind words
[dscrdeql] <AndronicusBass-Founder> Meh, talk about anything you like
[dscrdeql] <tanya> but its funny to
[dscrdeql] <sisana10> I like aspire's avatar!
[dscrdeql] <Kitty> staking wallet again?


Pet Clinic
Pet
Clinic
Menu
Home
Our Vets
Buy/Adopt
Login
Signup
Contact
Care for your kitten
Care for your puppy
Call ambulance


For now you can continue to play existing custom games in your account.
You Are Currently Playing: Normal 2048
How to play: Use your arrow keys to move the tiles. When two tiles with the same picture touch, they merge into one!
Note: This is a 2048 version I edited to display images instead of number cells as in the original one.
You can change images in the /img/ folder to custom yours.
Edited by Clément DIVRY to make this game use pictures.
Forked from a Gabriele Cirulli project hosted here, Based on 1024 by Veewo Studio and conceptually similar to Threes by Asher Vollmer.
This is a key that shows you which images represent specific numbers in 2048, it updates when you change the game.
Tile #2
Tile #4
Tile #8
Tile #16
Tile #32
Tile #64
Tile #128
Tile #256
Tile #512
Tile #1024
Tile #2048
Image for 2
Image for 4
Image for 8
Image for 16
Image for 32
Image for 64
Image for 128
Image for 256
Image for 512
Image for 1024
Image for 2048
Name this Game


Before Change
if feature_selection:
logger.info("Getting Univariate Support")
full_path = SSEP.join([directory, "model", "features_support_uni.pkl"])
support = joblib.load(full_path)
all_features = all_features[:, support]
// Load the RFE support vector, if any
After Change
X_predict, _ = get_data(model, Partition.predict)
// Load feature_map
model = load_feature_map(directory)
// Drop features
logger.info("Dropping Features: %s", drop)
X_predict = drop_features(X_predict, drop)
// Log feature statistics
logger.info("Feature Statistics")
logger.info("Number of Prediction Rows : %d", X_predict.shape[0])
logger.info("Number of Prediction Columns : %d", X_predict.shape[1])
// Apply treatments to the feature matrix
all_features = apply_treatments(model, X_predict)
// Create initial features
all_features = create_features(model, all_features)
// Generate interactions
all_features = create_interactions(model, all_features)
// Remove low-variance features
all_features = remove_lv_features(all_features)
// Load the univariate support vector, if any
if feature_selection:
logger.info("Getting Univariate Support")
support = model.feature_map["uni_support"]
all_features = all_features[:, support]
// Load the RFE support vector, if any
if rfe:
logger.info("Getting RFE Support")
support = model.feature_map["rfe_support"]
all_features = all_features[:, support]
// Load predictor
predictor = load_predictor(directory)


about this tool
File API & FileReader API not supported
Displaying stats for zoom level … (coarser/finer)


This policy describes what information we collect and how it is used and shared.
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Use of Information:
We collect and use the following information to provide and improve our application and service for you:
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Disclosure:
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The professional me
I specialise in front-end/client-side development for web and mobile. I spend most of my time writing object oriented JavaScript but still love to get my css and html fix when I get the chance. I'm currently using React, Redux, Node, Koa, Chai, Sinon, HTML5, CSS3 and Flexbox working with responsive designs for multiple platforms. I have previous commercial experience with AngularJS, RxJs, Backbone.js, SASS, LESS (& Twitter Bootstrap).
Having come from a creative background I also have a keen eye for detail. Back in the day, I was in charge of a small creative development team working on multiple projects including consumer facing white labelled systems in both mortgage comparison and corporate social networking.
I am highly motivated, passionate about technology, approach challenges logically and grasp new ideas quickly.
Will the human
Well what do you want to know?
I'm a very lucky boy - married to a pretty little thing called Vic and we have two lovely little boys. Harrison ({{ _harrisonAge }}) who thinks he's the boss, loves StarWars and pretending to be a Jedi. Elliot ({{ _elliotAge }}) who won't stop climbing, won't sit still for more than 5 seconds and is in fact the boss.
I like keeping active, cycling, playing football and I'm an avid follower of the mighty Norwich City FC. #OTBC #NCFC
I like movies (who doesn't), love coffee, really love ale (the old man type although I don't currently have a beard) and in my spare time I like to keep up to date with the latest web trends / tech...


Pippin looked out from the shelter of Gandalf"s cloak. He wondered if he was awake or still sleeping, still in the swift-moving dream in which he had been wrapped so long since the great ride began. The dark world was rushing by and the wind sang loudly in his ears. He could see nothing but the wheeling stars, and away to his right vast shadows against the sky where the mountains of the South marched past. Sleepily he tried to reckon the times and stages of their journey, but his memory was drowsy and uncertain.
There had been the first ride at terrible speed without a halt, and then in the dawn he had seen a pale gleam of gold, and they had come to the silent town and the great empty house on the hill. And hardly had they reached its shelter when the winged shadow had passed over once again, and men wilted with fear. But Gandalf had spoken soft words to him, and he had slept in a corner, tired but uneasy, dimly aware of comings and goings and of men talking and Gandalf giving orders. And then again riding, riding in the night. This was the second, no, the third night since he had looked in the Stone. And with that hideous memory he woke fully, and shivered, and the noise of the wind became filled with menacing voices.
A light kindled in the sky, a blaze of yellow fire behind dark barriers Pippin cowered back, afraid for a moment, wondering into what dreadful country Gandalf was bearing him. He rubbed his eyes, and then he saw that it was the moon rising above the eastern shadows, now almost at the full. So the night was not yet old and for hours the dark journey would go on. He stirred and spoke.
"Where are we, Gandalf?" he asked.
"In the realm of Gondor," the wizard answered. "The land of Anórien is still passing by."
There was a silence again for a while. Then, "What is that?" cried Pippin suddenly, clutching at Gandalf"s cloak. "Look! Fire, red fire! Are there dragons in this land? Look, there is another!"
For answer Gandalf cried aloud to his horse. "On, Shadowfax! We must hasten. Time is short. See! The beacons of Gondor are alight, calling for aid. War is kindled. See, there is the fire on Amon Dîn, and flame on Eilenach; and there they go speeding west: Nardol, Erelas, Min-Rimmon, Calenhad, and the Halifirien on the borders of Rohan."
But Shadowfax paused in his stride, slowing to a walk, and then he lifted up his head and neighed. And out of the darkness the answering neigh of other horses came; and presently the thudding of hoofs was heard, and three riders swept up and passed like flying ghosts in the moon and vanished into the West. Then Shadowfax gathered himself together and sprang away, and the night flowed over him like a roaring wind.
Pippin became drowsy again and paid little attention to Gandalf telling him of the customs of Gondor, and how the Lord of the City had beacons built on the tops of outlying hills along both borders of the great range, and maintained posts at these points where fresh horses were always in readiness to bear his errand-riders to Rohan in the North, or to Belfalas in the South. "It is long since the beacons of the North were lit," he said; "and in the ancient days of Gondor they were not needed, for they had the Seven Stones." Pippin stirred uneasily.
"Sleep again, and do not be afraid!" said Gandalf. "For you are not going like Frodo to Mordor, but to Minas Tirith, and there you will be as safe as you can be anywhere in these days. If Gondor falls, or the Ring is taken, then the Shire will be no refuge."
"You do not comfort me," said Pippin, but nonetheless sleep crept over him. The last thing that he remembered before he fell into deep dream was a glimpse of high white peaks, glimmering like floating isles above the clouds as they caught the light of the westering moon. He wondered where Frodo was, and if he was already in Mordor, or if he was dead; and he did not know that Frodo from far away looked on that same moon as it set beyond Gondor ere the coming of the day.


public class UnsafeByteArrayInputStream extends InputStream
ByteArrayInputStream
uses a given buffer as a
source of an InputStream. Unlike ByteArrayInputStream, this class does not
"waste" memory by creating a local copy of the given buffer, but rather uses
the given buffer as is. Hence the name Unsafe. While using this class one
should remember that the byte[] buffer memory is shared and might be changed
from outside.
For reuse-ability, a call for
reInit(byte[])
can be called, and
initialize the stream with a new buffer.
| Constructor and Description |
|---|
UnsafeByteArrayInputStream
()
Creates a new instance by not using any byte[] up front.
|
UnsafeByteArrayInputStream
(byte[] buffer)
Creates an UnsafeByteArrayInputStream which uses a given byte array as
the source of the stream.
|
UnsafeByteArrayInputStream
(byte[] buffer,
int startPos,
int endPos)
Creates an UnsafeByteArrayInputStream which uses a given byte array as
the source of the stream, at the specific range: [startPos, endPos)
|
| Modifier and Type | Method and Description |
|---|---|
int
|
available
()
|
void
|
mark
(int readlimit)
|
boolean
|
markSupported
()
|
int
|
read
()
Read a byte.
|
void
|
reInit
(byte[] buffer)
Initialize the stream with a given buffer, using the default limits of
[0, buffer.length)
|
void
|
reInit
(byte[] buffer,
int startPos,
int endPos)
Initialize the stream with a given byte array as the source of the
stream, at the specific range: [startPos, endPos)
|
void
|
reset
()
Resets the stream back to its original state.
|
close
,
read
,
read
,
skip
public UnsafeByteArrayInputStream()
reInit
methods before you consume any byte from this instance.
new byte[0]
or something. Obviously in that case, one will
call either
reInit
methods before using the class.
public UnsafeByteArrayInputStream(byte[] buffer)
buffer
- byte array used as the source of this stream
public UnsafeByteArrayInputStream(byte[] buffer, int startPos, int endPos)
buffer
- byte array used as the source of this stream
startPos
- first index (inclusive) to the data lying in the given buffer
endPos
- an index (exclusive) where the data ends. data @
buffer[endPos] will never be read
public void mark(int readlimit)
mark
in class
InputStream
public boolean markSupported()
markSupported
in class
InputStream
public void reInit(byte[] buffer)
buffer
- byte array used as the source of this stream
public void reInit(byte[] buffer, int startPos, int endPos)
buffer
- byte array used as the source of this stream
startPos
- first index (inclusive) to the data lying in the given buffer
endPos
- an index (exclusive) where the data ends. data @
buffer[endPos] will never be read
public int available() throws IOException
available
in class
InputStream
IOException
public int read() throws IOException
read
in class
InputStream
IOException
public void reset() throws IOException
reset
in class
InputStream
IOException


| This shouldn't get exported | This shouldn't get exported either |
| This Should get exported as a header | This should too |
| data1a with a link one and link two. | data1b with a . |
| data2a with a . | data2b with a . |
| This footer spans 2 cells |
| This shouldn't get exported | This shouldn't get exported either |
| This Should get exported as a header | This should too |
| data1a | data1b |
| data2a | data2b |
| This footer spans 2 cells |


The results from your address form are as follows...
Record ID : @Model.RecordId
Name : @Model.Name
Address : @Model.BuildingAddress
Age : @Model.Age
Email Address : @Model.Email


Back
T6 Javascript Language
In the JavaScript language describe all the use cases for each of the follwing:
- parenthesis()
-
Define a function e.g. function f (parameter 1, parameter 2) {}
-
Prioritizing expression calculations e.g. (a + b) + c
-
Containing expressions e.g. if (a < b) {}
-
brackets[]: brackets are mainly used in relation to arrays. e.g. to declare an aray 'arr' one would say, var arr = [5]; Brackets can also be used to access or delete object properties e.g. delete object1[property], assuming property:value pairing in the object.
-
braces {}: Braces are usually used to enclose conditional statements or function bodies e.g. function func() {} Braces are also used for defining objects e.g. var object1 = {prop1: val1, prop2: val2}
-
single quotes ' ': Traditionally, in other mainstream languages single quotes are used for characters, but in javascript single quotes can be used for strings as well.
On a side note, proponents of using single quotes in JS mention using less keystrokes (vs. double quotes) = more productivity, and single quotes reduce the total number of characters, which results in less bandwidth usage! :)
-
double quotes " ": Double quotes in mainstream programming languages refers to strings. Another benefit of using double quotes is one doesn't have to espace single quotes in a stream of text e.g. "I'm a little tea-pot" vs 'I\'m a little tea-pot'


Case-studies
Contact-me
User Research, User Experience Design, Front-End Development
Have a great idea?
Let's chat!
Email
hello [at] akwright.com
Socialize
Linkedin
Dribbble
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Github
Instagram
Spotify
Twitter


Basic Data Viewer
Advanced Data Viewer
Basic Result Viewer
Advanced Result Viewer
FSP Basic Data Viewer
↻
projectId
duration
Less than
Equal to
Greater than
Filter
Task ID ⇵
Project ID ⇵
Due Date ⇵
Due Time ⇵
Duration (in Hrs) ⇵
Page
Show:


This will be a magic digital mirror which displays the user's reflection with extra information built into the display.


Comparing 3 Favorite Websites
Display Inline vs Inline-Block
JavaScript — the Language of the Internet
Enumerable Method — Your New Best Friend
Instance Variables
Functional vs Object-Oriented Programming
SQL versus NoSQL
Dynamic vs Static Typed Languages
Cultural Blog
Thinking Styles
Computer Fraud and Abuse Act
Pairing Sessions
Stereotype Threat
What Do I Value the Most?
Conflict
How to ask a question


This is a sample login page. It contains a basic form with a directive for input fields. The form-input-text directive is bound to a FormControl directive and provides input validation for displaying error messages.
To log in, enter user and 123 in the respective input fields. Afterwards, you will be redirected to the dashboard view which is a sample area for authorized users. If you try navigating to the dashboard manually, you will be redirected to this page.
The login component makes use of a service for authorization which will check credentials and save an example token in the sessionStorage. This concept can be extended with real HTTP communication and backend authorization later.


The Replacements (2000) Keanu Reeves, Gene Hackman, Orlando Jones, Jon Favreau, Brooke Langton, Rhys Ifans, Jack Warden, Faizon Love, Michael "Bear" Taliferro, Ace Yonamine, Troy Winbush, David Denman, Michael Jace, Gailard Sartain, Art LaFleur, Brett Cullen, John Madden, Pat Summerall, Keith David. Screenplay by Vince McKewin. Directed by Howard Deutch. 118 minutes. PG-13, 2 stars (out of five stars)
Review by Ed Johnson-Ott, NUVO Newsweekly www.nuvo.com Archive reviews at http://us.imdb.com/ReviewsBy?Edward+Johnson-Ott To receive reviews by e-mail at no charge, send subscription requests to<EMAIL_ADDRESS>or e-mail<EMAIL_ADDRESS>with the word "subscribe" in the subject line.
"The Replacements" is a wacky underdog sports movie, the latest in a long series of films that rigidly adhere to a crowd-pleasing formula. Despite the presence of a talent like Gene Hackman, the Keanu Reeves football comedy is a pretty anemic piece of work, which got me thinking: Why watch a lame formula flick when you can crank out one of your own? Just grab your camcorder, round up some buddies and create your very own film, using:
THE DO-IT-YOURSELF WACKY UNDERDOG SPORTS MOVIE KIT
Instructions: Simply stick to the following story points. Feel free to use your imagination, but don't get carried away. Remember, original ideas don't go over very well in this genre.
Story Point One: The team needs to win in the worst way, and that's probably the only way they could, because the owner is:
A. Itching to sell the franchise
B. A cynic just going through the motions
Story Point Two: The owner hires a new coach; a great guy except:
A. He has a haunted past
B. He has a problem with anger management
C. He drinks to excess
D. He's Republican
Story Point Three: The coach must round up new players fast, because the regular players:
A. Are on strike
B. Got drafted
C. Have lost their passion for the game
D. Were eaten by dingoes
Story Point Four: He rounds up a colorful group of misfits, including (select as many as you wish from the following):
A. A handsome rebel
B. A wildly over-enthusiastic kid whose bravado masks his fears
C.  A hopelessly naïve idealist
E. A gigantic man who practices voodoo
F. Three dorky brothers who turn into maniacs on the playing field
G. An over-the-hill former star whose body is giving out on him
H. A convict (former or current – it doesn't matter) who scares everybody
I.  A crusty real life sports broadcaster (sometimes two) provides humorous commentary, while inexplicably following the team to all of their games. Meanwhile, the handsome rebel player establishes a relationship with:
A. A plucky cheerleader
B. A plucky barmaid
C. A plucky barmaid who moonlights as a cheerleader
D. His ex; hardened by their breakup, but secretly plucky
Story Point Six: Inspired by the burgeoning relationship and determined to prove the naysayers wrong, the handsome rebel manages to pull the players together. Despite their unorthodox methods, the team starts winning games. The crusty broadcaster stops making fun of the team and the empty stands fill with fans juiced by the sight of athletes who are on the field for the "right" reasons. Unfortunately, on the eve of the Big Game, the handsome rebel loses confidence because:
A.  His old demons return to haunt him
C. The evil owner, who secretly wants the team to lose, suspends or replaces him
D. A full moon is approaching and he fears he will change into a werewolf
Story Point Seven: Luckily, at the last moment, he receives an inspirational speech from:
A. The coach
B. The plucky love interest
C. A teammate
D. Another werewolf
The speech will include at least one of the following statements:
A.
B. "Go ahead and give up. But just remember that if you do, you'll prove that those jerks were right about you!"
C. "Don't you understand that you have a chance here that most men only dream of having, and you're on the verge of throwing it all away?"
 Have you thought about the endorsement possibilities?"
Story Point Eight: Invigorated by the speech, he rallies the team. Against all odds, under the worst possible conditions, they hit the field, employing their wildest (and most illegal) plays yet. Things look bleak, but at the very last second, the handsome rebel suggests a play that is impossibly outrageous and:
A. They win.
There you have it. Sure, you can watch "The Replacements" and get the expected results or you can go out and make your own movie. I have a pretty good idea what your decision will be, though, because when I look at you, I see the man you are and the man you ought to be – and I think today is the day the two will meet.
© 2000 Ed Johnson-Ott
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{% extends "tethys_apps/app_base.html" %} {% load staticfiles %} {% block title %}{{ tethys_app.name }}{% endblock %} {% block app_icon %} {# The path you provided in your app.py is accessible through the tethys_app.icon context variable #} {% endblock %} {# The name you provided in your app.py is accessible through the tethys_app.name context variable #} {% block app_title %}{{ tethys_app.name }}{% endblock %} {% block app_navigation_items %} {% url 'airpollut:home' as home_url %} {% url 'airpollut:maps' as map_url %} {% url 'airpollut:pollution' as pollution_url %} {% url 'airpollut:watershed' as ws_url %} {% url 'airpollut:data' as data_url %} {% url 'airpollut:proposal' as proposal_url %} {% url 'airpollut:mockup' as mockup_url %} {% url 'airpollut:about' as about_url %}


Before Change
// Sampling from empty neighbourhood
return [None] * size
// Sample with replacement
return [rs.choice(neighbours) for _ in range(size)]
def _check_neighbourhood_sizes(self, in_size, out_size):
Checks that the parameter values are valid or raises ValueError exceptions with a message indicating the
After Change
// Sampling from empty neighbourhood
return [None] * size
// Sample with replacement
return rs.choices(neighbours, k=size)
def _check_neighbourhood_sizes(self, in_size, out_size):
Checks that the parameter values are valid or raises ValueError exceptions with a message indicating the


In this blog I look over my three favorite websites (Goodreads, FantasyFootballMetrics, and Crunchyroll) and attempt to analyze what they are trying to achieve based on their design.
In this blog I give my thoughts and immpressions on Shereef's fireside chat, where he talks about the culture of DBC and what each student's expectations and mindset should be going forward.
In this blog I attempt to apply what I have learned about wireframing to my three favorite websites by creating a wireframe for each and giving my thoughts on their respective designs.