| example {utils} | R Documentation |
Run all the R code from the Examples part of R's online help
topic topic
with possible exceptions dontrun
,
dontshow
, and donttest
, see ‘Details’ below.
example(topic, package = NULL, lib.loc = NULL, character.only = FALSE, give.lines = FALSE, local = FALSE, echo = TRUE, verbose = getOption("verbose"), setRNG = FALSE, ask = getOption("example.ask"), prompt.prefix = abbreviate(topic, 6), run.dontrun = FALSE, run.donttest = interactive())
topic |
name or literal character string: the online
|
package |
a character vector giving the package names to look
into for the topic, or |
lib.loc |
a character vector of directory names of R libraries,
or |
character.only |
a logical indicating whether |
give.lines |
logical: if true, the lines of the example source code are returned as a character vector. |
local |
logical: if |
echo |
logical; if |
verbose |
logical; if |
setRNG |
logical or expression; if not |
ask |
logical (or |
prompt.prefix |
character; prefixes the prompt to be used if
|
run.dontrun |
logical indicating that |
run.donttest |
logical indicating that |
If lib.loc
is not specified, the packages are searched for
amongst those already loaded, then in the libraries given by
.libPaths()
. If lib.loc
is specified, packages
are searched for only in the specified libraries, even if they are
already loaded from another library. The search stops at the first
package found that has help on the topic.
An attempt is made to load the package before running the examples, but this will not replace a package loaded from another location.
If local = TRUE
objects are not created in the workspace and so
not available for examination after example
completes: on the
other hand they cannot overwrite objects of the same name in the
workspace.
As detailed in the manual Writing R Extensions, the author of the help page can markup parts of the examples for exception rules
dontrun
encloses code that should not be run.
dontshow
encloses code that is invisible on help
pages, but will be run both by the package checking tools,
and the example()
function. This was previously
testonly
, and that form is still accepted.
donttest
encloses code that typically should be run,
but not during package checking. The default run.donttest
= interactive()
leads example()
use in other help
page examples to skip \donttest
sections appropriately.
The value of the last evaluated expression, unless give.lines
is true, where a character
vector is returned.
Martin Maechler and others
example(InsectSprays) ## force use of the standard package 'stats': example("smooth", package = "stats", lib.loc = .Library) ## set RNG *before* example as when R CMD check is run: r1 <- example(quantile, setRNG = TRUE) x1 <- rnorm(1) u <- runif(1) ## identical random numbers r2 <- example(quantile, setRNG = TRUE) x2 <- rnorm(1) stopifnot(identical(r1, r2)) ## but x1 and x2 differ since the RNG state from before example() ## differs and is restored! x1; x2 ## Exploring examples code: ## How large are the examples of "lm...()" functions? lmex <- sapply(apropos("^lm", mode = "function"), example, character.only = TRUE, give.lines = TRUE) sapply(lmex, length)


We can create your ideal cake for any occasion. Take a look at photos of cakes that we've created for various occasions. We can recreate any of these cakes in addition to adding custom details if a fully custom cake is not down your alley.


e-PCA_data_vis.Rmd
This tutorial is optional, some what esoteric, and not well organized
# install_github("brouwern/mammalsmilk")
You can then load the package with library()
library(mammalsmilk)
Load data cleaned in previous tutorial
data("milk")
library(ggplot2)
library(cowplot)
##
## Attaching package: 'cowplot'
## The following object is masked from 'package:ggplot2':
##
## ggsave
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
Because the variables are on very different scales it helps to transform them
The old-school way of doingthis might be to do it column by column
milk$gest.mo.log <- log10(milk$gest.month)
milk$repro.log <- log10(milk$repro.output)
milk$mass.litter.log <- log10(milk$mass.litter)
milk$lact.mo.log <- log10(milk$lacat.mo)
milk$mass.fem.log <- log10(milk$mass.fem)
In dplyr you can use the mutate() function from dplyr
milk <- milk %>% mutate(gest.mo.log = log(gest.month),
repro.log = log(repro.output),
mass.litter.log = log(mass.litter),
lact.mo.log = log(lacat.mo),
mass.fem.log = log(mass.fem))
pairs(milk[,c("gest.mo.log",
"repro.log",
"mass.litter.log",
"lact.mo.log",
"mass.fem.log")],
lower.panel = NULL)
Similar functionality can be done in ggplot using GGally::ggpairs()
Run the PCA with princomp()
#principal compoents
pca.x.vars <- princomp(~ gest.mo.log+
repro.log+
mass.litter.log+
lact.mo.log+
mass.fem.log,
data = milk)
A biplot takes some time to learn how to read, a skill that is beyond this tutorial. It is easy to see unique underlying structures pop out in biplots. The group of points away from the main band will be shown below to be Australian mammals (marsupials etc)
biplot(pca.x.vars)
Plot w/o point by setting first color to 0
biplot(pca.x.vars,col = c(0,2))
The biplot tells us that a major axis of variation is female mass and lactation duration. These two variables are highly correlated. A 2nd major axis of variation is reproductive output, which is at a right angle to female mass/lactation. This implies that after accounting for female mass, there is additional, independent variation in the data due to reproduction. Litter size and gestation duration are at about a 45 degree angle between female maass reproduction. This implies another dimension of variation that is partially correlated with both of the other two.
PCA generates as many latent variables as there are original variables. Usually only the first few are useful. This codes displays the 2nd vs. the 3rd PCs
biplot(pca.x.vars,
choices = c(2,3),
col = c(0,2))
What a biplot is plotting are “PCA” scores. We can plot these by hand by extracting them from the list embedded in the PCA output object. I’ll use qplot() from ggplot to plot this
qplot(y = pca.x.vars$scores[ ,"Comp.2"] ,
x = pca.x.vars$scores[ ,"Comp.1"] )
And add color code them to identify groups. It looks like that outlying group are Monotremata. Diprotodontia (marsupials), and Didelphimorphia (opossum).
qplot(y = pca.x.vars$scores[ ,"Comp.2"] ,
x = pca.x.vars$scores[ ,"Comp.1"] ,
color = milk$ord)
I can add labels to confirm
labs <- gsub("ontia","",milk$ord)
labs <- gsub("ata","",milk$ord)
qplot(y = pca.x.vars$scores[ ,"Comp.2"] ,
x = pca.x.vars$scores[ ,"Comp.1"] ,
color = milk$ord) +
annotate(geom = "text",
y = pca.x.vars$scores[ ,"Comp.2"] ,
x = pca.x.vars$scores[ ,"Comp.1"] ,
label = labs)
Make new variable for outliers
i.weirdos <- which(milk$ord %in% c("Monotremata" #monotremes
,"Diprotodontia" #marsupials
,"Didelphimorphia"#opossums
,"Dasyuromorphia"#tasmanian devil)
,"Peramelemorphia" #bandicoots
))
milk$Australia <- "other"
milk$Australia[i.weirdos] <- "Australia"
qplot(y = pca.x.vars$scores[ ,"Comp.2"] ,
x = pca.x.vars$scores[ ,"Comp.1"] ,
color = milk$Australia)
As noted above, PCA generates as many latent variables as there are original variables. Usually only the first few are useful. This codes displays the 2nd vs. the 3rd PCs
qplot(y = pca.x.vars$scores[ ,"Comp.3"] ,
x = pca.x.vars$scores[ ,"Comp.2"] ,
color = milk$Australia)
And the 1st vs. the 3rd
qplot(y = pca.x.vars$scores[ ,"Comp.3"] ,
x = pca.x.vars$scores[ ,"Comp.1"] ,
color = milk$Australia)
This turns out to be an ugly biplot but I’ll do it anyway.
For each mammal species the authors found data on 5 different aspects of their milk
These things are frequently correlated. We can see this in a “pairs” plot
pairs(milk[,c("fat","prot",
"sugar","energy")],
lower.panel = NULL)
You can see that the percentage data (fat, protein, sugar) are negatively correlated b/c if a high fat percent must have a low fat percent, etc. These different columns of data therefore do not have independent information. PCA allows us to combine them to look for overal axes of variation.
milk.noNA <- na.omit(milk)
pca.y.vars <- princomp(~ fat + prot +
sugar + energy ,
data = milk.noNA)
biplot(pca.y.vars,
cex = 0.9,
main = "Milk y vars")
Make into dataframe
df <- data.frame(Comp.3 = pca.y.vars$scores[ ,"Comp.3"] ,
Comp.2 = pca.y.vars$scores[ ,"Comp.2"] ,
Comp.1 = pca.y.vars$scores[ ,"Comp.1"],
milk.noNA)
Are the outliers Australian?
qplot(y = Comp.2 ,
x = Comp.1,
color = Australia,
data = df)
Code by biome - outliers are Aqutic
qplot(y = Comp.2 ,
x = Comp.1,
color = biome,
data = df)
Code by biome and diet - most (all?) aquatic organismsin the dataset are also carnivores, because most aquatic mammals are carnivores (exceptions? Manatees and …)
qplot(y = Comp.2 ,
x = Comp.1,
color = biome,
shape = diet,
data = df)
Facet by diet
qplot(y = Comp.1 ,
x = Comp.2,
color = biome,
shape = diet,
#size = log(mass.fem),
data = df,
facets = diet ~ .)
df$group <- with(df, paste(biome,diet))
qplot(y = Comp.1 ,
x = Comp.2,
color = group,
shape = group,
#size = sqrt(lacat.mo),
data = df)


Developed as a personal project, Code Playground is a web development tool that allows developers to write code (HTML, CSS & JavaScript) in the browser, and see the results in real time as they build.
As for the features, users can switch between a light and a dark theme, select between three different working layouts, maximize/minimize windows, add external CSS and/or JavaScript assets, while enjoying the modern, feature-packed embedded code editor.
Next:
ᐳZahra's Portfolioᐸ


Hey! Looks like you're trying to use Atomic with the official Discord servers! That's great,
BUT Discord can sometimes
BAN YOUR ACCOUNT if you request the login endpoints (That's bad!) While there's nothing we can do to stop you, we do recommend that you login with your token instead. (Note: We take
NO RESPONSIBILITY for any damages to your account) If you're trying to use another server (Like
Litecord), You can change the endpoints
here


{% extends 'base.html' %} {% block title %}Rooms List{% endblock %} {% block content %}
There are currently {{num_rooms}} rooms.
back to Home


October CMS set preview post length
October CMS is a brilliant new developer focused CMS. It reminds me of working on XenForo in it's ease of creating add-ons. A very nice system.
After configuring the blog I needed to limit the post except size for post that didn't have an except. This meant shrinking the normal content on category list view and post list view. It turned out to be simple.
First open both the blog list template and category list template. Find the code tab and click it.
Then add this:
function onEnd()
{
if (isset(\$this\['posts'\]))
foreach(\$this\['posts'\] as &\$post) {
\$post->content\_html = wordwrap(\$post->content\_html, 250);
\$post->content\_html = explode("\\n", \$post->content\_html);
\$post->content\_html = \$post->content\_html\[0\] . '...';
}
}
Before is display it'll be parsed and limited. The code is a bit of code that I modified from SO. I'd link back but can't find the source thread anymore.


Preparation time
over 2 hours
Cooking time
10 to 30 mins
Serves
Serves 6
Dietary
For the honeycomb, place the sugar and golden syrup into a pan over a low heat and warm until the sugar dissolves.
Increase the heat and cook until a golden-brown caramel is formed. The longer you heat the caramel the darker it becomes - don't cook it too long as it should be golden-brown.
Add the bicarbonate of soda and stir well, then pour onto a greased, lined baking tray and allow to cool.
For the ice cream, whip the cream until it becomes thick, but not fully whipped.
Carefully fold in the vodka and condensed milk and whisk the cream mixture until stiff peaks form when the whisk is removed.
Break up the honeycomb into small pieces and fold gently into the cream mixture.
Transfer the ice cream mixture into a freezer container and freeze for at least eight hours; there is no need to churn this ice cream.
For the pistachio shortbread, preheat the oven to 180C/365F/Gas 4.
Place the butter and sugar into a clean bowl and beat together until light and combined.
Add the flour and processed pistachios and mix well.
Pour the shortbread mixture out onto a greased, lined baking sheet. Use a knife to score 5cm/2in x 7cm/3in rectangles into the mixture, then place into the oven to bake for 8-10 minutes, or until cooked and golden.
Remove the shortbread from the oven and allow to cool on a wire rack. Turn out of the baking tray and break or cut into the pre-marked rectangles.
To serve, place two scoops of honeycomb ice cream into each bowl and place two pieces of shortcake on top or alongside.


Emoji Support
Guide to emoji usage in Hugo
Emoji can be enabled in a Hugo project in a number of ways.
The emojify
function can be called directly in templates or Inline Shortcodes.
To enable emoji globally, set enableEmoji
to true
in your site’s configuration and then you can type emoji shorthand codes directly in content files; e.g.
🙈 :see_no_evil:
🙉 :hear_no_evil:
🙊 :speak_no_evil:
The Emoji cheat sheet is a useful reference for emoji shorthand codes.
N.B. The above steps enable Unicode Standard emoji characters and sequences in Hugo, however the rendering of these glyphs depends on the browser and the platform. To style the emoji you can either use a third party emoji font or a font stack; e.g.
.emoji {
font-family: Apple Color Emoji,Segoe UI Emoji,NotoColorEmoji,Segoe UI Symbol,Android Emoji,EmojiSymbols;
}
Comments
Nothing yet.


|
Class Summary |
| BackReferenceReplacer |
Back references (eg, %1, %2 etc) replacer. |
| CatchElem |
An item that will allow exceptions during "run" invocation to be caught. |
| ClassRule |
|
| Condition |
Conditions must be met when the filter is processing a url. |
| ConditionMatch |
|
| Conf |
Configuration object for urlrewrite filter. |
| ConfHandler |
Handles DTD lookup and error handling for XML Conf parsing. |
| NormalRewrittenUrl |
Holds information about the rewirtten url. |
| NormalRule |
Defines a rule that can be run against an incoming request. |
| OutboundRule |
Defines an outbound rule that can be run against a link in a page. |
| RequestProxy |
This class is responsible for a proxy http request. |
| RewrittenOutboundUrl |
Holds information about the rewritten outbound url. |
| RuleBase |
Defines a rule that can be run against an incoming request. |
| RuleChain |
Chain of rules. |
| RuleExecutionOutput |
|
| Run |
Defines a run element, the ability to run a methodStr
(eg, xx(HttpServletRequest httpServletRequest, HttpServletResponse httpServletResponse)) |
| RunConfig |
Defines a the config that will be passed to the run object on startup. |
| SetAttribute |
|
| Status |
Outputs information about urlrewritefilter. |
| TypeConverter |
Assists with the setting of variable type names for condition types and rule to variables. |
| UrlRewriteDocTask |
Used for javadoc style output of conf file. |
| UrlRewriteFilter |
Based on the popular and very useful mod_rewrite for apache, UrlRewriteFilter is a Java Web Filter for any J2EE
compliant web application server (such as Resin or Tomcat), which allows you to rewrite URLs before they get to your
code. |
| UrlRewriter |
The main rewriter. |
| UrlRewriteServlet |
Servlet for use if you cannot load filters in your environment for some strange reason. |
| UrlRewriteWrappedRequest |
Handles wrapping the request if necessary. |
| UrlRewriteWrappedResponse |
Handles wrapping the response so we can encode the url's on the way "out" (ie, in JSP or servlet generation). |
| VariableReplacer |
Helper class for variable replacement. |


bank.Rd
Bank data from UCI Machine Learning Repository. The raw bank data have been processed
and an outcome
column added.
https://archive.ics.uci.edu/ml/datasets/Bank+Marketing
Description (copied from UCI):
The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed. There are four datasets:
1) (included in predtmle
) bank-additional-full.csv with all examples (41188) and 20 inputs, ordered by date (from May 2008 to November 2010), very close to the data analyzed in [Moro et al., 2014]
2) bank-additional.csv with 10% of the examples (4119), randomly selected from 1), and 20 inputs.
3) bank-full.csv with all examples and 17 inputs, ordered by date (older version of this dataset with less inputs).
4) bank.csv with 10% of the examples and 17 inputs, randomly selected from 3 (older version of this dataset with less inputs).
The smallest datasets are provided to test more computationally demanding machine learning algorithms (e.g., SVM). The classification goal is to predict if the client will subscribe (yes/no) a term deposit (variable y).
Attribute Information:
Input variables:
# bank client data:
1 - age (numeric)
2 - job : type of job (categorical: 'admin.','blue-collar','entrepreneur','housemaid','management','retired','self-employed','services','student','technician','unemployed','unknown')
3 - marital : marital status (categorical: 'divorced','married','single','unknown'; note: 'divorced' means divorced or widowed)
4 - education (categorical: 'basic.4y','basic.6y','basic.9y','high.school','illiterate','professional.course','university.degree','unknown')
5 - default: has credit in default? (categorical: 'no','yes','unknown') 6 - housing: has housing loan? (categorical: 'no','yes','unknown')
7 - loan: has personal loan? (categorical: 'no','yes','unknown')
# related with the last contact of the current campaign:
8 - contact: contact communication type (categorical: 'cellular','telephone')
9 - month: last contact month of year (categorical: 'jan', 'feb', 'mar', ..., 'nov', 'dec')
10 - day_of_week: last contact day of the week (categorical: 'mon','tue','wed','thu','fri')
11 - duration: last contact duration, in seconds (numeric). Important note: this attribute highly affects the output target (e.g., if duration=0 then y='no'). Yet, the duration is not known before a call is performed. Also, after the end of the call y is obviously known. Thus, this input should only be included for benchmark purposes and should be discarded if the intention is to have a realistic predictive model.
# other attributes:
12 - campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact)
13 - pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric; 999 means client was not previously contacted)
14 - previous: number of contacts performed before this campaign and for this client (numeric)
15 - poutcome: outcome of the previous marketing campaign (categorical: 'failure','nonexistent','success')
# social and economic context attributes
16 - emp.var.rate: employment variation rate - quarterly indicator (numeric)
17 - cons.price.idx: consumer price index - monthly indicator (numeric)
18 - cons.conf.idx: consumer confidence index - monthly indicator (numeric)
19 - euribor3m: euribor 3 month rate - daily indicator (numeric)
20 - nr.employed: number of employees - quarterly indicator (numeric)
Output variable (desired target):
21 - y - has the client subscribed a term deposit? (binary: 'yes','no')
S. Moro, P. Cortez and P. Rita. A Data-Driven Approach to Predict the Success of Bank Telemarketing. Decision Support Systems, Elsevier, 62:22-31, June 2014


#include <candidate_sampling_ops.h>
Generates labels for candidate sampling with a learned unigram distribution.
A unigram sampler could use a fixed unigram distribution read from a file or passed in as an in-memory array instead of building up the distribution from data on the fly. There is also an option to skew the distribution by applying a distortion power to the weights.
The vocabulary file should be in CSV-like format, with the last field being the weight associated with the word.
For each batch, this op picks a single set of sampled candidate labels.
The advantages of sampling candidates per-batch are simplicity and the possibility of efficient dense matrix multiplication. The disadvantage is that the sampled candidates must be chosen independently of the context and of the true labels.
Arguments:
Optional attributes (see Attrs
):
Returns:
Output
sampled_candidates: A vector of length num_sampled, in which each element is the ID of a sampled candidate.Output
true_expected_count: A batch_size * num_true matrix, representing the number of times each candidate is expected to occur in a batch of sampled candidates. If unique=true, then this is a probability.Output
sampled_expected_count: A vector of length num_sampled, for each sampled candidate representing the number of times the candidate is expected to occur in a batch of sampled candidates. If unique=true, then this is a probability.
Constructors and Destructors |
|
|---|---|
FixedUnigramCandidateSampler(const ::tensorflow::Scope & scope, ::tensorflow::Input true_classes, int64 num_true, int64 num_sampled, bool unique, int64 range_max)
|
|
FixedUnigramCandidateSampler(const ::tensorflow::Scope & scope, ::tensorflow::Input true_classes, int64 num_true, int64 num_sampled, bool unique, int64 range_max, const FixedUnigramCandidateSampler::Attrs & attrs)
|
Public attributes |
|
|---|---|
operation
|
|
sampled_candidates
|
|
sampled_expected_count
|
|
true_expected_count
|
Public static functions |
|
|---|---|
Distortion(float x)
|
|
NumReservedIds(int64 x)
|
|
NumShards(int64 x)
|
|
Seed(int64 x)
|
|
Seed2(int64 x)
|
|
Shard(int64 x)
|
|
Unigrams(const gtl::ArraySlice< float > & x)
|
|
VocabFile(StringPiece x)
|
Structs |
|
|---|---|
|
tensorflow:: |
Optional attribute setters for FixedUnigramCandidateSampler. |
Operation operation
::tensorflow::Output sampled_candidates
::tensorflow::Output sampled_expected_count
::tensorflow::Output true_expected_count
FixedUnigramCandidateSampler( const ::tensorflow::Scope & scope, ::tensorflow::Input true_classes, int64 num_true, int64 num_sampled, bool unique, int64 range_max )
FixedUnigramCandidateSampler( const ::tensorflow::Scope & scope, ::tensorflow::Input true_classes, int64 num_true, int64 num_sampled, bool unique, int64 range_max, const FixedUnigramCandidateSampler::Attrs & attrs )
Attrs Distortion( float x )
Attrs NumReservedIds( int64 x )
Attrs NumShards( int64 x )
Attrs Seed( int64 x )
Attrs Seed2( int64 x )
Attrs Shard( int64 x )
Attrs Unigrams( const gtl::ArraySlice< float > & x )
Attrs VocabFile( StringPiece x )


Q and A is an experimental knowledge discovery engine. It indexes only a few high traffic websites like Wikipedia, Stackoverflow and uses datastores like DBPedia to display interesting information. Right now the index is being updated - this takes a long time, and search results will be affected during this time. To return to the homepage, click here
Right now, the index is being updated, to the site is relatively slow. But once indexing is complete, the site can run on relatively modest hardward. The process acting as the server uses less than 10MB of ram when idle, and can handle a relatively large number of requests. The index is spread out over the disk like a "Trie", and can be used to look up over a relative large dataset without using much ram. The reason for this design is that server hosting (VPS) is much cheaper the lower the speced machine is, and the goal was to build a scalable system by having each node just be a machine with 1Core, 1GB of ram, but enough storage to accomodate the index.During indexing, we use a single core with 4GB of ram.
The current index has only wikipedia - because the current goal is to work on the query processor to answer interesting questions in human language. The prototype you see on this website just does a simple keyword lookup, and doesn't work if you make spelling mistakes, or enter incomplete phrases. The goal of the first part of this project, was just to build an index on modest hardware, so that it could be scaled up later, at low cost.


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I've lost my ability to concentrate. I knew this before I started my time off, but thought it wasn't so bad. Hey, maybe it's actually a sign of being a good multitasker.
Now that I'm on sabbatical and I really need to concentrate. The external distractions I can deal with: shut off email and IM, take the editor full screen. What has me concerned is even with those tricks I still have a hard time. It's me. My mind wanders. I think about of that other thing I was going to do; wonder what's going on with that news thing that has no immediate bearing on me.
As Yoda said, "you must unlearn what you have learned." I'm trying these things:
I'll report back in a month if my concentration is any ... wait, what was I saying?


--- layout: page title: About header-img: "img/about-bg.png" ---
Advertising Professional turned Software Engineer.


| | |
- lemmatize(word, pos='n')
- lemmatize word by using NLTK wordnet package
if empty pos is passed, it will skip the lemmatization
:type word: string
:param word: word to be lemmatised
:type pos: char
:param pos: four part-of-speech categories supported in NLTK wordnet
SEE options in nltk.corpus.reader.wordnet.POS_LIST
SEE
:rtype: string
:return: lemmatized word or original word if pos=''
- normalize(text, lowercase=True, collapse=True, decompose=True, replace_categories={'M': ''}, lemma=False, pos_tag='n')
- Taken from Normality library
The main normalization function for text. This will take a string
and apply a set of transformations to it so that it can be processed
more easily afterwards.
:type text: string
:param text: word
:type lowercase: bool
:param lowercase: lower case the text
:type collapse: bool
:param collapse: replace multiple whitespace-like characters with a single whitespace.
This is especially useful with category replacement which can lead to a lot of whitespace.
:type decompose: bool
:param decompose: apply a unicode normalization (NFKD) to separate
simple characters and their diacritics.
:param replace_categories: This will perform a replacement of whole classes of unicode characters
(e.g. symbols, marks, numbers) with a given character.
It is used to replace any non-text elements of the input string.
:type lemma: bool
:param lemma: if lemmatize the word. Default to false
:type pos_tag: string
:param pos_tag: PoS tag used to lemmatize the word. the method will automatically map the tag to wordnet tag
:rtype: string
:return: normalised word
- punctuation_filter lambda t
- #remove punctuations from a string
- punctuation_filter_for_list(tokens=[])
- punctuation_filter_for_word_level(tokens=[])
- to effectively avoid errors caused by tokenisation
e.g., "'lysis genes'" -> ["'lysis", 'genes', "'"] -> output: ["lysis", 'genes']
e.g., ['highli', 'purifi', 'monocytes/macrophag'] -> ['highli', 'purifi', 'monocytes', 'macrophag']
:param tokens:
:return: list, token lists
- remove_digits(raw_term)
- remove_punctuations(raw_term)
- stem(word)
|


predict2 Returns log-likelihood values and indices of the most probable mixture component for given samples
[logLikelihoods, labels, probs] = model.predict2(sample)
Input
- samples Samples for classification. It should be a
one-channel matrix of size
nsamples-by-dims
with each
row representing one sample.
Output
- logLikelihoods Output vector that contains a
likelihood logarithm value for each sample. It has
nsamples-by-1
size and double
type.
- labels Output "class label" for each sample:
labels_i = argmax_{k}(p_{i,k}), i=1..N
(indices of the
most probable mixture component for each sample). It has
nsamples-by-1
size and double
type.
- probs Optional output matrix that contains posterior
probabilities of each mixture component given the sample.
It has
nsamples-by-ClustersNumber
size and double
type.


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*** Your Daily Free Stuff!
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This Week in Rust
Welcome to another issue of This Week in Rust!
What’s cooking on master?
47 PRs were merged this week.
Breaking Changes
- Non-ASCII identifiers are feature gated, due to open questions about how it should be done. They aren’t being removed, just deferred to post-1.0.
- Some more closure reform has gone through.
~fn
has been removed, useproc
instead.&fn
is also short for this world. std::util::NonCopyable
had its dummy constructor removed.- All of the functions in rustrt have been prefixed with
rust_
. - Items inside functions no longer accept privacy modifiers, since it is meaningless.
- Reachable
extern fn
s are no longer marked internal.
Other changes
- A
Gc<T>
stub has been added. New code should use this instead of@T
. ..
is now the pattern to use when ignoring multiple elements in a pattern.- Stepping through
if
in a debugger should be much smoother now. rustpkg -O
will now actually optimize the package it is building.- Did you know we can make tags files for the Rust codebase?
make TAGS.{vi,emacs}
! It no longer generates tags for all of LLVM and libuv, too. - The pidigits benchmark has been resurrected.
- A native mutex type now exists, and it doesn’t depend on C++.
- Some more derived methods are marked for inlining.
- A bunch more native file IO was implemented, too.
- We now have support for the win64 calling
convention. Additionally, the
ABI of
extern fn
s is now actually used. - The tutorial now covers alternatives to ownership much better.
- A lint for unsafe blocks has been added.
- A minor bug with privacy has been fixed.
New Contributors
Our first-time contributors this week are:
- Dave Hodder
- Ian Daniher
- Isaac Dupree
- g3xzh
Weekly Meeting
The weekly
meeting
discussed static linking, changing how let _ = foo
is handled, task joining,
autoderef, and user-defined vector types.
Announcements, etc
- A new tutorial project has sprung up.
Servo
Thanks to Lars Bergstrom for This Week in Servo! Servo is Rust’s sister project, and I think it’s nice to be able to see a highlevel of its progress. Maybe TWiS will graduate to a separate blog someday.
This Week in Servo
Servo is a web browser engine written in Rust and is one of the primary test cases for the Rust language. Starting this week, TWiR will include a status update from Servo.
There were 14 landed PRs this week.
Notable additions
- Patrick Walton rewrote flow construction so that we can make it incremental and parallelizable in https://github.com/mozilla/servo/pull/1271
- Ryan Choi added support for transparant PNG files in https://github.com/mozilla/servo/pull/1288
- Junyoung Cho added the ACID2 test file, which is one of the big focuses of the team over the coming months, in https://github.com/mozilla/servo/pull/1287
- In his first Servo PR, Adenilson Cavalcanti contributed a help message for the binary in https://github.com/mozilla/servo/pull/1277
Meetings
Having spent the prior week at a workweek with Samsung in Korea (where there were several presentations on both Rust and Servo! https://github.com/mozilla/servo/wiki/Videos-and-presentations ), the meeting was pretty light this week. It mainly covered getting more formal tracking of the work required for ACID2 and prioritizing Windows support.


MicroPython documentation contents¶
- Quick reference for the WiPy
- General information about the WiPy
- No floating point support
- Before applying power
- WLAN default behaviour
- Telnet REPL
- Local file system and FTP access
- FileZilla settings
- Upgrading the firmware Over The Air
- Boot modes and safe boot
- The heartbeat LED
- Details on sleep modes
- Additional details for machine.Pin
- Additional details for machine.I2C
- Known issues
- WiPy tutorials and examples
- MicroPython libraries
- Python standard libraries and micro-libraries
- MicroPython-specific libraries
btree
– simple BTree databaseframebuf
— Frame buffer manipulationmachine
— functions related to the hardware- Reset related functions
- Interrupt related functions
- Power related functions
- Miscellaneous functions
- Constants
- Classes
- class Pin – control I/O pins
- class Signal – control and sense external I/O devices
- class UART – duplex serial communication bus
- class SPI – a Serial Peripheral Interface bus protocol (master side)
- class I2C – a two-wire serial protocol
- class RTC – real time clock
- class Timer – control hardware timers
- class WDT – watchdog timer
micropython
– access and control MicroPython internalsnetwork
— network configurationuctypes
– access binary data in a structured way
- Python standard libraries and micro-libraries
- The MicroPython language
- The MicroPython Interactive Interpreter Mode (aka REPL)
- Writing interrupt handlers
- Maximising Python Speed
- MicroPython on Microcontrollers


The xabsl::Engine is the XABSL runtime system. It is platform and application independent and written in plain ANSI C++. Due to that, XABSL can be easily employed on any robotic platform. To run the engine in a specific software environment only two classes (for file access and error handling) have to be derived from abstract classes.
The engine parses and executes the intermediate code that was generated from XABSL documents. It links the symbols of a XABSL specification to variables and functions of the agent platform. Therefore, for each used symbol an entity in the software environment has to be registered to the engine. While options and their states are represented in XABSL, basic behaviors are written in C++. They have to be derived from a common base class and registered to the engine.
The engine provides extensive debugging interfaces for monitoring the option and state activations, the values of the symbols and the parameters of options and basic behaviors. Instead of executing the engine from the root option, single options or basic behaviors can be tested separately.
| XabslAction.cpp | Implementation of class Action and helper classes |
| XabslAction.h | Definition of class Action and Helper classes |
| XabslAgent.cpp | Implementation of class Agent |
| XabslAgent.h | Definition of class Agent |
| XabslArray.h | Declaration and implementation of template class NamedArray |
| XabslBasicBehavior.h | Declaration class BasicBehavior |
| XabslBehavior.h | Definition of class Behavior |
| XabslBooleanExpression.cpp | Implementation of BooleanExpression and derivates |
| XabslBooleanExpression.h | Definition of BooleanExpression and derivates |
| XabslCoopState.h | Definition of class CoopState and Helper classes |
| XabslDecimalExpression.cpp | Implementation of DecimalExpression and derivates |
| XabslDecimalExpression.h | Definition of DecimalExpression and derivates |
| XabslEngine.cpp | Implementation of class Engine |
| XabslEngine.h | Declaration class Engine |
| XabslEnumeratedExpression.cpp | Implementation of EnumeratedExpression and derivates |
| XabslEnumeratedExpression.h | Definition of EnumeratedExpression and derivates |
| XabslOption.cpp | Implementation of class Option and helper classes |
| XabslOption.h | Definition of class Option and Helper classes |
| XabslParameters.cpp | Implementation of class Parameters |
| XabslParameters.h | Definition of class Parameters |
| XabslState.cpp | Implementation of class State and helper classes |
| XabslState.h | Definition of class State and Helper classes |
| XabslStatement.cpp | Implementation of class Statement and helper classes |
| XabslStatement.h | Definition of class Statement and Helper classes |
| XabslSymbols.cpp | Implementation of class Symbols and helper classes |
| XabslSymbols.h | Definition of class Symbols and helper classes |
| XabslTeamMessage.h | Definition of class TeamMessage |
| XabslTools.cpp | Implementation of several helper classes for the Engine |
| XabslTools.h | Definition of several helper classes for the Engine |
First, one has to declare a message and error handling class that is derived from ErrorHandler. This class has to implement the printMessage() and printError() function. E.g.:
class MyErrorHandler : public xabsl::ErrorHandler { public: MyErrorHandler(); virtual void printError(const char* text) {cout << "error: " << text << endl;} virtual void printMessage(const char* text){cout << text << endl;} };
The Boolean variable "errorsOccurred" can be used to determine if there occurred errors during the creation or execution of the engine.
Then, a class that gives the engine a read access to the intermediate code has to be derived from InputSource. These pure virtual functions have to be implemented:
An example:
class MyFileInputSource : public xabsl::InputSource { public: MyFileInputSource(const char* fileName) : file(0), theChar(' ') { strcpy(filename,fileName); } ~MyFileInputSource() {if (file!=0) delete file;} virtual bool open() {file = new std::ifstream(filename); return(file!=0);} virtual void close() {if (file!=0) delete file; file = 0;} virtual double readValue() { char buf[20]; readFromFile(buf); return atof(buf); } virtual bool readString(char* destination, int maxLength) { readFromFile(destination); return true; } private: char filename[200]; std::ifstream* file; char theChar; void readFromFile(char* value) { while(!file->eof() && isWhitespace()) { if (theChar == '/') while(!file->eof() && theChar != '\n') file->read(&theChar,1); file->read(&theChar,1); } while(!file->eof() && !isWhitespace()) { *value++ = theChar; if(!file->eof()) file->read(&theChar,1); } *value = 0; } bool isWhitespace() { return theChar == ' ' || theChar == '/' || theChar == '\n' || theChar == '\r' || theChar == '\t'; } };
Please note that the file contains comments (//...) that have to be skipped by the read functions:
// divide (7) 7 // multiply (6) 6 // decimal value (0): 52.5 0 52.5 // reference to decimal symbol (1) ball.y: 1 13
The comments have to be treated as in C++ files. (New line ends a comment.) In the example only "7 6 0 52.5 1 13" should be read from the file.
At last, a static function that returns the system time in milliseconds has to be defined, e.g.:
static unsigned long getSystemTime() { timeb sysTime; ftime(&sysTime); return (sysTime.time * 1000 + sysTime.millitm); }
First, an instance of the adapted ErrorHandler has to be created:
MyErrorHandler errorHandler;
Then, the engine can be created, passing a reference to the error handler and a pointer to the time function as parameters:
xabsl::Engine(errorHandler,&getSystemTime);
Now all the symbols and basic behaviors have to be registered to the engine. Note that this has to be done before the option graph is created.
As the behaviors written in XABSL use symbols to interact with the agent's software environment, for each of these symbols the corresponding variable or function have to be registered to the engine. The following example registers the variables aDoubleInputVariable and aDoubleOutputVariable to the symbols "a-decimal-input-symbol" and "a-decimal-output-symbol" which were defined in the XABSL agent:
pMyEngine->registerDecimalInputSymbol("a-decimal-input-symbol",&aDoubleInputVariable);
pMyEngine->registerDecimalOutputSymbol("a-decimal-output-symbol",&aDoubleOutputVariable);
If the value for the symbol is not represented by a variable but by a function, this function has to be registered to the engine. Note that this function has do be static:
class MySymbols { public: static double doubleReturningFunction(); static void doubleAcceptingFunction(double value); }; ... MySymbols mySymbols; pMyEngine->registerDecimalInputSymbol("a-decimal-input-symbol", &MySymbols::doubleReturningFunction); pMyEngine->registerDecimalOutputSymbol("a-decimal-output-symbol", &MySymbols::doubleAcceptingFunction);
The registration of Boolean symbols works in a similar way:
pMyEngine->registerBooleanInputSymbol("a-boolean-input-symbol",&aBooleanInputVariable);
pMyEngine->registerBooleanOutputSymbol("a-boolean-output-symbol",&aBooleanOutputVariable);
Or:
class MySymbols { public: static bool booleanReturningFunction(); static void booleanAcceptingFunction(bool value); }; ... MySymbols mySymbols; pMyEngine->registerBooleanInputSymbol("a-boolean-input-symbol", &MySymbols::booleanReturningFunction); pMyEngine->registerBooleanOutputSymbol("a-boolean-output-symbol", &MySymbols::booleanAcceptingFunction, &MySymbols::booleanReturningFunction);
Enumerated input or output symbols have to be registered similarily:
class MySymbols { public: enum MyEnum { element1, element2, element3 } anEnumInputVariable, anEnumOutputVariable; static MyEnum enumReturningFunction(); static void enumAcceptingFunction(MyEnum value); }; ... MySymbols mySymbols; pMyEngine->registerEnumeratedInputSymbol("an-enumerated-input-symbol", "my-enum", (int*)&mySymbols.anEnumInputVariable); pMyEngine->registerEnumeratedOutputSymbol("an-enumerated-output-symbol", "my-enum", (int*)&mySymbols.anEnumOutputVariable);
Or:
pMyEngine->registerEnumeratedInputSymbol("an-enumerated-input-symbol", "my-enum", &MySymbols::enumReturningFunction); pMyEngine->registerEnumeratedOutputSymbol("an-enumerated-symbol", "my-enum", &MySymbols::enumAcceptingFunction, &MySymbols::enumReturningFunction);
For the enumerations used in enumerated symbols, each enum element that was defined in the XABSL agent has to be registered to its corresponding value:
pMyEngine->registerEnumElement("my-enum", "my-enum.element1", MySymbols::element1); pMyEngine->registerEnumElement("my-enum", "my-enum.element2", MySymbols::element2); pMyEngine->registerEnumElement("my-enum", "my-enum.element3", MySymbols::element3);
If input symbols have parameters, these have to be declared and registered additionally:
class MySymbols { public: static double parameter1, parameter2; static double myFunction() { return (parameter1 + parameter2) / 2; } }; ... MySymbols mySymbols; pMyEngine->registerDecimalInputSymbol("a-decimal-input-symbol", &MySymbols::myFunction); pMyEngine->registerDecimalInputSymbolDecimalParameter("a-decimal-input-symbol", "a-decimal-input-symbol.parameter1", mySymbols.parameter1); pMyEngine->registerDecimalInputSymbolDecimalParameter("a-decimal-input-symbol", "a-decimal-input-symbol.parameter2", mySymbols.parameter2);
For different symbol and parameter types there are different functions for registering parameters. These functions are:
All basic behaviors have to be derived from the class xabsl::BasicBehavior
and have to implement the pure virtual function execute().
The name of the basic behavior has to be passed to the constructor of
the base class. The decimal, boolean, or enumerated parameters of the basic behavior have to be declared
as members of the class and registered using parameters->registerDecimal/registerBoolean/registerEnumerated
inside the implementation of the function registerParameters()
:
class MyBasicBehavior : public xabsl::BasicBehavior { public: double parameter1; bool parameter2; MyEnum parameter3; MyBasicBehavior(XabslErrorHandler& errorHandler) : xabsl::BasicBehavior("a-basic-behavior",errorHandler) {} virtual void registerParameters() { parameters->registerDecimal("a-basic-behavior.parameter1", parameter1); parameters->registerBoolean("a-basic-behavior.parameter2", parameter2); parameters->registerEnumerated("a-basic-behavior.parameter3", "my-enum", parameter3); } virtual void execute() { // do the requested action using parameter1, parameter2, and parameter3 } };
Then, for each basic behavior class an instance has to be registered to the engine:
MyBasicBehavior myBasicBehavior(errorHandler); pMyEngine->registerBasicBehavior(myBasicBehavior);
After the registration of all symbols and basic behaviors, the intermediate code can be parsed:
MyFileInputSource input("path_to_the_intermediate_code.dat"); pMyEngine->createOptionGraph(input);
If the engine detects an error during the execution of the option graph, the error handler is invoked. This can happen when the intermediate code contains a symbol or a basic behavior that was not registered before. Whether the option graph was created successfully or not can be checked like this:
if (errorHandler.errorsOccurred) { // do some backup behavior delete pMyEngine; }
If no errors occurred during the creation, the engine can be executed this way:
pMyEngine->execute();
This function executes the option graph only a single time. Starting from the selected root option, the state machine of each option is carried out to determine the next active state. Then for the subsequent option of this state the state machine becomes carried out and so on until the subsequent behavior is a basic behavior, which is executed then, too. After that the output symbols that were set during the execution of the option graph become applied to the software environment.
In the execute
()
function the execution starts from the selected root option, which is
in the beginning the root option of the first agent. The agent can be
switched using this function:
pMyEngine->setSelectedAgent("name-of-the-agent");
Instead of executing the option graph beginning with the root option of the currently selected agent, the function
pMyEngine->setRootAction("name-of-an-option-or-basic-behavior", isOption);
can be called to select a different root action. This is useful to test a single option or basic behavior. With
pMyEngine->getRootAction(0)->getParameters()->setDecimalParameter("name-of-the-decimal-parameter", 42); pMyEngine->getRootAction(0)->getParameters()->setBooleanParameter("name-of-the-boolean-parameter", true); pMyEngine->getRootAction(0)->getParameters()->setEnumeratedParameter("name-of-the-enumerated-parameter", element2);
the parameters of the executed option or basic behavior can be set.
There is a number of functions to trace the current state of the option
graph, the option activation tree, the option parameters, and the selected
basic behavior:
const xabsl::Action* getRootAction (int index) const; const xabsl::Array <xabsl::Action*> getRootActions () const; const char* getSelectedAgentName ();
The member functions of the xabsl::Action object returned can be used to retrieve this information.
For tracing the values of symbols, the engine provides access to the symbols
stored:
xabsl::DecimalInputSymbol* decimalInputSymbol = pMyEngine->decimalInputSymbols["name-of-a-symbol"]; xabsl::BooleanInputSymbol* booleanInputSymbol = pMyEngine->booleanInputSymbols["name-of-a-symbol"]; xabsl::EnumeratedInputSymbol* enumeratedInputSymbol = pMyEngine->enumeratedInputSymbols["name-of-a-symbol"]; xabsl::DecimalOutputSymbol* decimalOutputSymbol = pMyEngine->decimalOutputSymbols["name-of-a-symbol"]; xabsl::BooleanOutputSymbol* booleanOutputSymbol = pMyEngine->booleanOutputSymbols["name-of-a-symbol"]; xabsl::EnumeratedOutputSymbol* enumeratedOutputSymbol = pMyEngine->enumeratedOutputSymbols["name-of-a-symbol"];
Note that these operators crash if the requested symbol does not exist. The existence of symbols can be checked using the exists
method:
pMyEngine->decimalInputSymbols.exists("name-of-a-symbol"); pMyEngine->booleanInputSymbols.exists("name-of-a-symbol"); pMyEngine->enumeratedInputSymbols.exists("name-of-a-symbol"); pMyEngine->decimalOutputSymbols.exists("name-of-a-symbol"); pMyEngine->booleanOutputSymbols.exists("name-of-a-symbol"); pMyEngine->enumeratedOutputSymbols.exists("name-of-a-symbol");


Usage: Use this to generate a dictionary of modifiers (Ctrl, Shift, Alt, Super (Win), Function keys, and all combos/shortcuts. Choices:Select "Phoenix" to use Phoenix letters instead of Plover. Execute!:Click "Generate Dictionaries"
Result:You will get three single stroke dictionaries, and three two stroke dictionaries:
Real: When loaded in Plover this will execute the modifiers when stroked.
Practice: When loaded in Plover (use _instead of_ Real) print out the modifiers when stroked for practice purposes.
StenoJig: This is in StenoJig Translations format. Use this along with Practice dictionary loaded in Plover to practice modifiers using Stenojig exercises.
StenoJig All Exercises: This is a StenoJig exercise (using Practice output) for ALL generated single stroke modifier entries.


--- layout: base title: "Dean Attali - R-Shiny consultant" subtitle: "R-Shiny consultant with a MSc in Bioinformatics and a Bachelor of Computer Science. Work experience as a software engineer and web developer." ---


Welcome to IRCocoaHTTPServer!
You can customize this page for your app, make other pages, or even serve up dynamic content.
IRCocoaHTTPServer Project Page


And use them to index into the data:
data = img.get_data()[roi_idx]
This dataset is not very noisy, so we will artificially corrupt it to simulate
hardi_fname, hardi_bval, hardi_bvec = dpd.get_fnames("stanford_hardi")
data, affine = load_nifti(hardi_fname)
bvals, bvecs = read_bvals_bvecs(hardi_bval, hardi_bvec)
gtab = gradient_table(bvals, bvecs)
We initialize a DTI model class instance using the gradient table used in the


The long and narrow island of South Georgia is often referred to as 'the Alps in the mid-ocean' thanks to the steeply rising mountains that cover much of the land mass. Add to this low-lying grasslands, mighty glaciers and dramatic fjords, and you have one of the most picturesque parts of Antarctica.


HOW MUCH SHOULD I WORRY? Moderate Hard-Right Ideology Unbiased Racist Inclusiveness Tolerable Dangerous Threat to Democracy Average Appalling Self-Interest SEE HOW WE GOT HERE WHAT'S NEXT?


Introduction
I’m a Full Stack Web Developer who loves making web applications & websites. I work primarily with PHP, utilizing Laravel for backend software and , but I’m always trying new things. In my spare time I play with data visualization and UNIX system administration.
Experience
Web Developer Harlo Interactive
- March 2013 – July 2014
- Portland, OR
- Website
- More info…
Full stack web development on the LAMP stack, as well as prefabricated solutions utilizing software such as Wordpress, Magento, CS-Cart, and Interspire.
Duties and Accomplishments:
- Maintained legacy applications built with codeigniter.
- Assisted in project planning to deliver accurate estimates and set proper client expectations.
- Participated in design reviews before they were presented to clients to avoid potential development bottlenecks and issues.
- Participated in direct client relations to ensure technical details were appropriately communicated.
- Supported junior and contract developers with toolchain and basic programming challenges.
- Directly contributed to team wide toolchain development to ensure cross compatibility between all projects.
- Advocated heavily for coding standards and documentation to allow simpler project handoff.
- Gave talks to further educate the business and design side on changes and improvements being made on the development side, as well as to educate them on technical capabilities and limitations to further ensure proper client expectations were set.
Web Production TechXpress
- March 2012 – August 2012
- San Luis Obispo, CA
- Website
- More info…
Front end web productions on a proprietary LAMP Stack ecommerce platform.
Duties and Accomplishments:
- Reviewed PSD Comps from contract designers to ensure platform compatibility and consistency.
- Created standards compliant HTML / CSS pages from designed PSD comps.
- Converted HTML/CSS pages to page templates using the Smarty templating engine.
- Performed direct client website support on a technical level, often directly fixing broken sites while the client was on the phone.
- Coded and scheduled client email marketing campaigns.
Web Developer / Sysadmin ShoeSurfing.com
- October 2009 – January 2012
- San Luis Obispo, CA
- Website
- More info…
Primary management of 18+ ecommerce and marketing sites and handled all aspects of company IT.
Duties and Accomplishments:
- Designed, coded, and scheduled email marketing campaigns.
- Upgraded several Dreamweaver created sites to standards compliant xhtml and css.
- Implemented hand rolled PHP templating system to deliver previously html only pages not managed by ecommerce platform.
- Coordinated ecommerce platform upgrades, often working directly with engineers at ElementsCMS to ensure new features accomplished business goals.
- Purchased, setup and installed new workstations within warehouse and retail store.
- Worked to remove flash based content on all sites and replace them with standards based JavaScript solutions.
- Optimized website load times through removal of excess html, css, and js as well as implementing compression on the apache server.
- Managed and maintained active directory login and email system across a network of 20+ users
Skills
Languages / Markups / Data Formats
PHP SASS JavaScript HTML5 CSS3 Python Ruby JSON SVG
Databases
MySQL SQLite MongoDB
Frameworks / Libraries / Toolkits
Laravel Codeigniter SLIM Lumen Node.js Angular.js Bootstrap Foundation jQuery D3
Tools
Git Composer Assembla UNIX Shell Chrome Developer Tools NPM Gulp.js
Misc
SEO Schema.org OpenGraph Twitter Cards


Save
Longitude:
Latitude:
Area radius:
Wifi SSIDs:
please enter SSIDs separated by comma
Drag the marker or click on the map to select a location


Chapter 11. Other Lexicon Conventions
Part I. Introduction
Entries are sorted in case-blind ASCII collation order (rather than the letter-by-letter order ignoring interword spacing common in mainstream dictionaries), except that all entries beginning with nonalphabetic characters are sorted before A, except that leading dash is ignored. The case-blindness is a feature, not a bug.
Prefix ** is used as linguists do; to mark examples of incorrect usage.
We follow the ‘logical’ quoting convention described in the Writing Style section above. In addition, we reserve double quotes for actual excerpts of text or (sometimes invented) speech. Scare quotes (which mark a word being used in a nonstandard way), and philosopher’s quotes (which turn an utterance into the string of letters or words that name it) are both rendered with single quotes.
References such as malloc(3) and patch(1) are to Unix facilities (some of which, such as patch(1), are actually open source distributed over Usenet). The Unix manuals use foo(n) to refer to item foo in section (n) of the manual, where n=1 is utilities, n=2 is system calls, n=3 is C library routines, n=6 is games, and n=8 (where present) is system administration utilities. Sections 4, 5, and 7 of the manuals have changed roles frequently and in any case are not referred to in any of the entries.
Various abbreviations used frequently in the lexicon are summarized here:
Table 11.1. Abbreviations
| abbrev. | abbreviation |
|---|---|
| adj. | adjective |
| adv. | adverb |
| alt. | alternate |
| cav. | caveat |
| conj. | conjunction |
| esp. | especially |
| excl. | exclamation |
| imp. | imperative |
| interj. | interjection |
| noun | |
| obs. | obsolete |
| pl. | plural |
| poss. | possibly |
| pref. | prefix |
| prob. | probably |
| prov. | proverbial |
| quant. | quantifier |
| suff. | suffix |
| syn. | synonym (or synonymous with) |
| verb (may be transitive or intransitive) | |
| var. | variant |
| intransitive verb | |
| vt. | transitive verb |
Where alternate spellings or pronunciations are given, alt. separates two possibilities with nearly equal distribution, while var. prefixes one that is markedly less common than the primary.
Where a term can be attributed to a particular subculture or is known to have originated there, we have tried to so indicate. Here is a list of abbreviations used in etymologies:
Table 11.2. Origins
| Amateur Packet Radio | A technical culture of ham-radio sites using AX.25 and TCP/IP for wide-area networking and BBS systems. |
| Berkeley | University of California at Berkeley |
| BBN | Bolt, Beranek & Newman |
| Cambridge | the university in England (not the city in Massachusetts where MIT happens to be located!) |
| CMU | Carnegie-Mellon University |
| Commodore | Commodore Business Machines |
| DEC | The Digital Equipment Corporation (now HP). |
| Fairchild | The Fairchild Instruments Palo Alto development group |
| FidoNet | See the *FidoNet* entry |
| IBM | International Business Machines |
| MIT | Massachusetts Institute of Technology; esp. the legendary MIT AI Lab culture of roughly 1971 to 1983 and its feeder groups, including the Tech Model Railroad Club |
| NRL | Naval Research Laboratories |
| NYU | New York University |
| OED | The Oxford English Dictionary |
| Purdue | Purdue University |
| SAIL | Stanford Artificial Intelligence Laboratory (at Stanford University) |
| SI | From Système International, the name for the standard abbreviations of metric nomenclature used in the sciences |
| Stanford | Stanford University |
| Sun | Sun Microsystems |
| TMRC | Some MITisms go back as far as the Tech Model Railroad Club (TMRC) at MIT c. 1960. Material marked TMRC is from An Abridged Dictionary of the TMRC Language, originally compiled by Pete Samson in 1959 |
| UCLA | University of California, Los Angeles |
| UK | the United Kingdom (England, Wales, Scotland, Northern Ireland) |
| Usenet | See the *Usenet* entry |
| WPI | Worcester Polytechnic Institute, site of a very active community of PDP-10 hackers during the 1970s |
| WWW | The World-Wide-Web. |
| XEROX PARC | XEROX’s Palo Alto Research Center, site of much pioneering research in user interface design and networking |
| Yale | Yale University |
Other etymology abbreviations such as *Unix* and *PDP-10* refer to technical cultures surrounding specific operating systems, processors, or other environments. The fact that a term is labelled with any one of these abbreviations does not necessarily mean its use is confined to that culture. In particular, many terms labelled ‘MIT’ and ‘Stanford’ are in quite general use. We have tried to give some indication of the distribution of speakers in the usage notes; however, a number of factors mentioned in the introduction conspire to make these indications less definite than might be desirable.
A few new definitions attached to entries are marked [proposed]. These are usually generalizations suggested by editors or Usenet respondents in the process of commenting on previous definitions of those entries. These are not represented as established jargon.
| Prev | Up | Next |
| Chapter 10. Pronunciation Guide | Home | Chapter 12. Format for New Entries |


By default, you will get results from the Brightcove Training Videos account.
Use My Account Instead
[1] See Managing API Credentials for information on getting client credentials.
Note: the date range must be set before you fetch the data. If you wish to set a new date range, you will need to refresh the page.
Start:
End:
Get Country Data
Date: All Country: All


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I'm A Celeb confirms when the next King or Queen of jungle will be crowned
by Ciara WalshITV confirmed the reality show's final date.
I'm A Celebrity Get Me Out of Here 2019 has been underway for less than a week, but we already know when the big finale will air.
ITV have confirmed that the next King or Queen of the jungle will be crowned on Sunday, December 8 - just over two weeks from now.
Hopefully, the campers won't be too smelly by that point - after all, hosts Ant and Dec have said that switching the camp's traditional fire for a gas stove has made things easier on the nose.
"The difference this year is that we have the gas stoves in there, no smoke," the host's explained on last night's I'm A Celeb: Extra Camp. "They don't stink as much."

Ant then joked: "At the trial with Roman and Adele, woo, I am not saying what one, but one of them honked!"
Dec added: "One of them has got the nickname cheese fruit."
I'm A Celebrity Get Me Out of Here continues tonight from 9pm on Virgin Media One and ITV.


It has long been known that a diet that includes at least a few servings of fresh fruit every day will help keep you healthy, fit and trim.


High Prefect Finker:
In order to be an Orc Raider, you must have passed the appropriate test. Speak with
Prefect Karukia in the Orc Village
. Pass the test he gives you and bring me the proof. Then I will promote you to Orc Raider.


Choose one creature that you can see within range. The target begins a comic dance in place: shuffling, tapping its feet, and capering for the duration. Creatures that can't be charmed are immune to this spell.
A dancing creature must use all its movement to dance without leaving its space and has disadvantage on Dexterity saving throws and attack rolls. While the target is affected by this spell, other creatures have advantage on attack rolls against it. As an action, a dancing creature makes a W isdom saving throw to regain control of itself. On a successful save, the spell ends.


RECIEVER
Group O can donate red blood cells to anybody.It's the universal donor.
Group A can donate red blood cells to A's and AB's.
Group B can donate red blood cells to B's and AB's.
Group AB can donate to other AB's, but can receive from all others.
SEARCH


{% extends 'manager/_base.html' %} {% load static %} {% block content %}
| Everithing is going right. |
|---|
| Sl. | Name | Phone Number | |
|---|---|---|---|
| {{ forloop.counter }} | {{ client.name }} | 0{{ client.phone }} | {{ client.email }} |
| Everithing is going right. |
|---|
| Sl. | Name | Phone Number | |
|---|---|---|---|
| {{ forloop.counter }} | {{ client.name }} | 0{{ client.phone }} | {{ client.email }} |
| Everithing is going right. | Actions | ||
|---|---|---|---|
| Sl. | Action | |
|---|---|---|
| {{ emails.email }} |


The maven plugin
Installation and running tests
To use vmlens with maven, configure a plugin tag to tell maven that the vmlens plugin should be executed at the test phase. And include the jar com.vmlens.api as test dependency.
<project> <!-- to include the class AllInterleavings into the test class path. --> <dependency> <groupId>com.vmlens</groupId> <artifactId>api</artifactId> <version>1.1.5</version> <scope>test</scope> </dependency> <build> <plugins> <!-- to run the vmlens maven plugin during the maven test phase --> <plugin> <groupId>com.vmlens</groupId> <artifactId>interleave</artifactId> <version>1.1.5</version> <executions> <execution> <goals> <goal>test</goal> </goals> </execution> </executions> </plugin> ... </plugins> </build> ... </project>
plugin configuration
The vmlens interleave plugin is based on the maven surefire plugin. All configs which apply to the maven surefire plugin apply also to the interleave plugin, except the test fork configs.
The following parameters are additions from the vmlens interleave plugin:
doNotTrace
The doNotTrace let you exclude methods from tracing through vmlens. A method matching the doNotTrace tag and all methods called by this method will not be traced by vmlens. In the following example the method om.
and all methods of the class com.
will not be traced:
<doNotTrace> <method>com.vmlens.test.TestMethod.signal</method> <method>com.vmlens.test.TestMavenDoNotTrace.*</method> </doNotTrace>
vmlens supports the ant directory pattern for method names. So you can use the following wild cards:
- * Matches zero or more characters (not including the path separator .)
- ** Matches zero or more path segments.
- ? Matches one character (any character except the path separator .)
Examples:
- com.vmlens.** Matches all methods from classes in the package and sub-packages from com.vmlens
- com.vmlens.test.TestAllRaces.* Matches all methods in the class com.vmlens.test.TestAllRaces
suppress
The suppress tag let you suppress data races. If a data race is suppressed it will no longer show in the issue report and the build will no longer fail because of this data race. The following example shows how to suppress a data race at the field com.
, at the primitive array int[]
in the method com.
and at the array java.lang.String[]
in the class com.
using the pattern *
.
<suppress> <race>com.vmlens.examples.config.TestSuppressDataRaceAtField.i</race><EMAIL_ADDRESS><EMAIL_ADDRESS></suppress>
trace
Trace let you narrow the methods which get traced. If trace is configured vmlens will only search for data races inside methods matching the trace elements. Also when showing the stack trace where the data race was found vmlens will start at the first method matching a trace element.
The following example shows how to narrow the search and stack trace to methods from classes to the package com.vmlens.test.
<trace> <method>com.vmlens.test.state.report.**</method> </trace>
vmlens supports the ant directory pattern for method names. So you can use the following wild cards:
- * Matches zero or more characters (not including the path separator .)
- ** Matches zero or more path segments.
- ? Matches one character (any character except the path separator .)
Examples:
- com.vmlens.** Matches all methods from classes in the package and sub-packages from com.vmlens
- com.vmlens.test.TestAllRaces.* Matches all methods in the class com.vmlens.test.TestAllRaces
deadlockAndDataRaceDetection
The maven tag deadlockAndDataRaceDetection
let you disable the offline detection of deadlocks and data races. To disable deadlock and data raqces set deadlockAndDataRaceDetection
to false:
<deadlockAndDataRaceDetection>false</deadlockAndDataRaceDetection>
The reports
The issues report
The issues report shows you all the issues found by vmlens. vmlens detects data races and deadlock by analyzing the execution trace of your test. The report is located in the file maven output folder target/interleave/issues.html.
The example report shows one data race, the symbol and one deadlock, the symbol . The data races happened at accessing the field example.TestDataRace.i .The deadlock happened between the method lockOneToLockTwo and lockTwoToLockOne. Click one of the links to see the stack traces of the data race or deadlock.
The data race report
After clicking on the data race you see the following report:
This Html site shows you the stack trace and thread name of the reading thread, the symbol and for the writing thread, the symbol .
The deadlock report
After clicking on the deadlock you see the following report:
This report shows you the thread names of the two threads in the deadlock, the symbol ,and the stack trace. The position in the stack trace in which a monitor was acquired is marked with the symbol .
The interleave report
The interleave report shows you the thread interleavings which led to an assertion error or to a data race. The report is located in the file maven output folder target/interleave/elements.html.
The interleave detail report
The interleave detail report shows you one thread interleaving of an interleave loop. The report shows you all synchronization actions and data races in the order of occurrence. In the above example, first, a thread with thread id 13 wrote to the variable i which led to data race. After that, the same thread entered a synchronized block, and so on. The following symbols are used in this report:
The following symbols are used in this report:
- A write which led to a data race
- A read which led to a data race
- A write to a volatile field
- A read to a volatile field
- A monitor or lock enter
- A monitor or lock exit
The stack trace report
The stack trace report shows the stack trace of a method call:


Walmart de Mexico says October same-store sales up 2.3per cent year-on-year
Walmart de Mexico, Mexico's biggest retailer, said on Wednesday that sales at stores open for more than a year in Mexico rose 2.3per cent in October compared with the same month last year.
MEXICO CITY: Walmart de Mexico, Mexico's biggest retailer, said on Wednesday that sales at stores open for more than a year in Mexico rose 2.3per cent in October compared with the same month last year.
Walmex, as the company is known, said total sales in Mexico increased 3.5per cent in October.
(Reporting by Miguel Angel Gutierrez; Editing by Dave Graham)


London Web Standards brings together web professionals who are working for a better web. Our bi-monthly meetups provide them with an opportunity to teach, inspire, learn, network and debate.
Each meetup features a speaker drawn from our membership or the wider standards community. The talks cover a range of topics including HTML5, JavaScript, CSS, accessibility, web fonts, UX and front-end performance.
Next event
30 October 2021 - #sotb2021
@ Conway Hall, 25 Red Lion Square, London WC1R 4RL (map)
Past events
May 2020 - #HashtagComingSoon
@ RVU, The Cooperage, 5 Copper Row, London SE1 2LH (map)
More details will be added as soon as they become available.
State of the Browser 2019
The eighth edition of State of the Browser, a yearly conference organised by London Web Standards. A one-day, single-track conference with widely varying talks about the modern web, accessibility, web standards and more.
State of the Browser 2018
The seventh edition of State of the Browser, a yearly conference organised by London Web Standards that connects browser vendors and the web community.


LineResamper takes a polyline and outputs a given number of equispaced points along this line. The points can be clipped inside a given area and they can not be less than the number of input points.
Input Ports
Name Type Description in_points float[][2] Coordinates of polyline. in_dims int[2] Dimensions of the active area. parent UIconnection Connection to the user interface. Parameters
Name Type Description UI Control Num. Points int Number of points to be output. Field Box Clip points int Specifies if resulting points must be inside active area. Toggle Output Ports
Name Type Description out_mesh Point Mesh Points and cell data that represent the data. out_obj DefaultObject Directly renderable output object.
The LineReampler takes the coordinates of a polyline and generates a specified number of equispaced points along the polyline. The specified number of output points must be at least the number of input points. If a lower number of points is specified the number of input points is used instead. If the option `Clip points' is set, the calculated points have to be inside of the active area given by the input dimensions. If points are outside of this area they are clipped to the border.
in_points : float[][2]
Coordinates of polyline along which equispaced points are to be calculated.
in_dims : int[2]
Dimension of the active area. If `clip points' is set the points outside of this area are clipped to the border of the area.
parent : UIconnection
This is the port that automatically connects the user interface of the module to the user interface of AVS/express.
Num. Points
Integer parameter that specifies the number of points to be calculated. It can not be smaller than the number of points in the polyline. If it is smaller then the output will have the same number of points as the input.
Clip points
Integer parameter that specifies whether all points which are outside of the active area should be clipped to the border of the active area. The active area is specified by the in_dims input.
out_mesh : Point Mesh
This mesh output represents the calculated points. It can be used for further processing of the points.
out_obj : DefaultObject
This port is suitable for direct connection to a 2D viewer. It contains the coordinates and cell set for the calculated points.
The LineResamplerEg example application illustrates how to use the LineResampler macro. A image is read and the SuperDraw macro can be used to draw a polyline as normal. The LineResampler macro can be then be used to increase the number of output points. Each output point is shown be a cross.
xp_comm_proj/draw/drawmods.v Creates the DrawMods library containing the low-level modules RegionResamplerCore, LineResamplerCore, SuperDrawCore and the parameter blocks DrawLineParams and LineResamplerParams.
xp_comm_proj/draw/drawmacs.v Creates the DrawMacs library containing the user interface macros SuperDrawUI and LineResamplerUI, the functional macros SuperDrawFunc and LineResampleFunc, and the user macros SuperDraw, LineResampler and RegionResampler.
xp_comm_proj/draw/drawapps.v Creates the DrawApps library containing the example applications SuperDrawEg, LineResamplerEg, and RegionResamplerEg.
The low-level DrawMods library containing the low-level modules does not specify a process. By default the express process will be used.
Mario Valle, AVS Inc.
Anja Bindrich, Andrew Dodd, International AVS Centre


---
layout: default
title: Theme Downloads
---
RiiConnect24 Themes
Firefox Theme
By meltstrap
Google Chrome Theme
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Discord Wii Menu Theme
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WarioWare Wii Menu Theme
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Wii U Wii Menu Theme
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Other
Discord Homebrew Channel Theme
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PokeAcer Madness Homebrew Channel Theme
By MCNX


Custom experience for IBM Connections Cloud - Project Muse
The old saying goes: "You can't have your cake and eat it too". When organisations move computing from servers they control into a SaaS (the artist formerly known as ASP) environment, they swap customisability for configurability and standardisation. The idea is, that a vendor controlled cloud environment benefits from both the economy of scale as well as the frequent updates the claimed DevOps model brings.
But you can have both. One of IBM's best secret are the assets that the IBM Software Services for Collaboration (ISSC) has been and is building. One of my all time favourites had been Atlas for Connections which predated Watson Analytics by half a decade.
Now I have a new darling: IBM ISSC Project Muse. This is the internal code name, no official name has been set or any decision been made to make this an official offering. However you can ask ISSC nicely, and they will use Muse technology in your project (that you awarded to them/us).
What does it do?
IBM Connections, in both on-premises and cloud is build around a set of APIs. These https APIs give and take XML and/or JSON. On top of them sits the regular UI. That UI in the cloud is only to a small extend customizable or extendable. The Muse engine therefore talks directly to the API and renders an alternate user experience. This alternate experience can include custom application data or (what I liked a lot) a blend of your activity stream with your messaging. This is how it works:
Of course the devil sits in the details: script libraries, UI components, authentication and application engine need to be tuned to work together with proper caching and a scalable (both in device and user base) manner.
Your average IBM seller will not know about the offering, you need yo find the right Distinguished Engineer and his Wing man.
But you can have both. One of IBM's best secret are the assets that the IBM Software Services for Collaboration (ISSC) has been and is building. One of my all time favourites had been Atlas for Connections which predated Watson Analytics by half a decade.
Now I have a new darling: IBM ISSC Project Muse. This is the internal code name, no official name has been set or any decision been made to make this an official offering. However you can ask ISSC nicely, and they will use Muse technology in your project (that you awarded to them/us).
What does it do?
IBM Connections, in both on-premises and cloud is build around a set of APIs. These https APIs give and take XML and/or JSON. On top of them sits the regular UI. That UI in the cloud is only to a small extend customizable or extendable. The Muse engine therefore talks directly to the API and renders an alternate user experience. This alternate experience can include custom application data or (what I liked a lot) a blend of your activity stream with your messaging. This is how it works:
Of course the devil sits in the details: script libraries, UI components, authentication and application engine need to be tuned to work together with proper caching and a scalable (both in device and user base) manner.
Your average IBM seller will not know about the offering, you need yo find the right Distinguished Engineer and his Wing man.
Posted by Stephan H Wissel on 12 November 2014 | Comments (0) | categories: IBM IBM - Lotus


{% load i18n %} {% get_current_language as LANGUAGE_CODE %}
{% blocktrans trimmed %} sorry, an unexpected error occurred while processing your request. this error has been recorded and will be revised by the system admins. meanwhile, you may return to home page as if nothing happened. if you are seeing this error continuously, please try again in a few moments. {% endblocktrans %}


quantum computing<EMAIL_ADDRESS>Toyotta Model 2017 Depature: 7.20am
Nissan Model 2017Depature: 8.20am
Toyotta Model 2017 Depature: 6.20am


Did you know that...
Plasma is a yellowish liquid that is mostly water. But it also carries important nutrients, hormones and proteins throughout the body. Plasma also carries away cell waste: chemicals that the cell doesn't want anymore. Nutrients, hormones, proteins and waste are dissolved in the plasma and blood cells float in the plasma.
It's inherited. Like eye color, blood type is passed genetically from your parents. Whether your blood group is type A, B, AB or O is based on the blood types of your mother and father.


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We are providing enomourse ideas regarding construction. Before you build a house,you must go through these this and have better idea.
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This tests that you can't get the prototype of the window object cross-origin using Object.getPrototypeOf().


Bills
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My Debit Limit:
Send bill
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| Variables | ||
| BaseTag | static const | Base tags for parallel messaging. |
| DIFF_EPS | static const | tolerance level 0. |
| DIFF_EPS1 | static const | tolerance level 1. |
| DIFF_EPS2 | static const | tolerance level 2. |
| mymomlabels | static const | |
| SQRT_EPS | static const | square-root of machine ε |
| Functions | ||
| AV | ActualValue: Returns either X.actual[X.v] or CV(X). | |
| ColLogit | The Multinomial logit smoothing function (over columns). | |
| CV | Return the Current Value of a Quantity: access X.v, X, X() or X(arg). | |
| DeltaV | Row-Difference of a matrix. | |
| DiscreteNormal | Return Nx1 vector of values corresponding to the 1/(N+1) percentiles of the normal distribution. | |
| DrawOne | Return index of a single draw from the multinomial distribution. | |
| Epanechnikov | Compute the Epanechnikov kernel matrix for a data matrix. | |
| FLogit | The standard logistic cumulative distribution. | |
| GaussianKernel | Compute the Gausian kernel matrix for a data matrix. | |
| Indent | Print a number of spaces. | |
| MyMoments | Print Column Moments. | |
| prefix | put a prefix in front of string or array of strings. | |
| ReverseState | Recreate State vector from an index and offset vector. | |
| RowLogit | The Multinomial logit smoothing function (over rows). | |
| SumToOne | Return the completed simplex of a vector or double. | |
| TypeCheck | Check that an object is of a required class, or one of a required class. | |
| vararray | Convert an array of strings into a space-separated string. | |
| varlist | Parse a string for variable names; return array of strings. | |
| Enumerations | ||
| AggregatorTypes | Tags for Types of vector-valued objective Aggregation. | |
| Anonymous enum 1 | ||
| Axes | x,y,z dimensions for graphs | |
| ConstraintTypes | Tags for Types of Constraints. | |
| ConvergenceResults | Code for solutions to Optimization and Non-Linear System solving. | |
| Names_for_012 | Pseudonyms for 0,1,2. | |
| Names_for_-1 | Pseudonyms for -1. | |
| NextTreatmentStates | Possible next treatment phases. | |
| NiD | Used in tracking outcomes. | |
| NoiseLevels | Levels of output to produce while executing. | |
| ParallelExecutionModes | Modes of Execution when executing in parallel. |
| Public methods | ||
| CheckBox | static | |
| CreateForm | static | |
| Finalize | static | Finalize the CGI component of the output; Ox output appears below. |
| GetVar | static | Find and return the CGI key value |
| Initialize | static | Initialize the processing of CGI post data. |
| Parse | static | Parse and return the values of a HTML form. |
| ParseQ | static | Parse the query |
| ReadForm | static | |
| VolumeCtrl | static |
| Public fields | ||
| eq | inequalities. | |
| ineq | equalities. | |
| L | Merit value. | |
| Public methods | ||
| Copy | virtual | |
| CPoint | ||
| Vec |
| Public fields | ||
| actual | corresponding model vals. | |
| N | Number of different values | |
| vector of prob. | ||
| subv | subvector objected belongs to. | |
| vals | const | range(0,N-1) |
| Public methods | ||
| Discrete | Create a discrete quantity . | |
| virtual | ||
| SetActual | virtual | Initialize the actual values. |
| Update | virtual | The default Discrete Variable update does nothing. |
| Public fields | ||
| av | ||
| f | 1xM row vector of unique indices into nodes. | |
| ff | ||
| i | ||
| indx | ||
| lt | ||
| m | ||
| nodes | const | |
| np | ||
| nxtf | ||
| nxtp | ||
| p | NxM matrix of weights. | |
| pts | N-array of matrices, either 2x1 or 2x2. first row are node indices, second is weight on the node. |
|
| z | ||
| Public methods | ||
| Approx | Map vector of values into current nodes. | |
| Discretized | Map a continuous outcome onto a set of discrete nodes. |
| Public methods | ||
| Equality | ||
| Public fields | ||
| J | Jacobian. | |
| L | const | array of equation labels |
| lam | current multiplier | |
| N | const | number of equations |
| rlabels | static const | |
| v | current value | |
| Public methods | ||
| Equations | Create a system of equations. | |
| norm | virtual | |
| penalty | virtual | |
| virtual |
| Public fields | ||
| hR | const | |
| iseed | const | initial seed. |
| J | const | dimensions on integration. |
| L | ||
| M | const | J-array of delta matrices. |
| nu | ||
| pk | ||
| prob | ||
| R | const | number of replications. |
| SimJ | const | |
| u | ||
| Public methods | ||
| GHK | Set constants for GHK. | |
| SimDP | Use GHK to simulate choice probabilities and Emaxes for a matrix index values. | |
| SimProb | Use GHK to simulate state-contingent choice probabilities when U() includes additive N(0,Σ) errors. |
GQH::Initialize(8); println("E[x*x] = ", GQH::wght * sqr(GQH::nodes) / M_SQRT2PI );
| Public fields | ||
| nodes | static | the nodes or mantissa values xm |
| order | static | currrent order M |
| wght | static | corresponding weights ωm |
| Public methods | ||
| coef | static | Return the polynomial coefficients of Hn polynomial . |
| Initialize | static | Set the nodes and weights for Gauss-Hermite Quadrature. |
GQL::Initialize(8); println("E[x*x] = ", GQL::wght * sqr(GQL::nodes) );
| Public fields | ||
| nodes | static | the nodes or mantissa values xm |
| wght | static | corresponding weights ωm |
| Public methods | ||
| Initialize | static | Gauss-Laguerre nodes and weights. |
| Public methods | ||
| InEquality | ||
| Public fields | ||
| Dvar | const | |
| mix | mixture elements. | |
| sp | const | |
| W | weight matrix | |
| WF | free weights. | |
| Public methods | ||
| aggregate | virtual | aggregate blackbox objectives into a scalar value. |
| Copy | virtual | |
| MixPoint |
| Public fields | ||
| block | 0 or pointer to param block. | |
| DoNotConstrain | static | Ignore constraints on ALL parameters. |
| DoNotVary | Treat as Determined, for now. | |
| f | Current free value f. | |
| ival | const | Initial passed value. |
| scale | Scaling value s. | |
| start | Value at start of iteration. | |
| Public methods | ||
| Decode | virtual | Default decoding: no scaling, no constraining. |
| Encode | virtual | Default encoding: no scaling, no constraining. |
| Menu | virtual | |
| Parameter | Create a new parameter. | |
| ReadCGI | virtual | |
| ReInitialize | Reset the parameter to its hard-coded values. | |
| Reset | Reset the starting value of a parameter. | |
| ToggleDoNotVary | virtual | Toggle the value of DoNotVary. |
cur
.
Algorithms use a point to store temporary values.
| Public fields | ||
| AggType | ||
| F | Free vector. | |
| G | ∇ƒ | |
| H | Hƒ | |
| J | Jƒ | |
| SE | sqrt(diag(H-1f)). | |
| V | object vector. | |
| v | objective scalar. | |
| X | Parameter vector. | |
| Public methods | ||
| aggregate | virtual | aggregate blackbox objectives into a scalar value. |
| Copy | virtual | |
| GCopy | ||
| Point |
| Public fields | ||
| L | const | Label |
| logf | Log dedicated to this qty. | |
| pos | position in vector | |
| v | Current actual value | |
| Volume | Volume of output. | |
| Public methods | ||
| SetVolume | Control variable-specifc output. |
| Public fields | ||
| bb | const | |
| Kvar | const | |
| Public methods | ||
| aggregate | virtual | aggregate separable objectives into a scalar value. |
| SepPoint |
| Public methods | ||
| SysPoint |
| Public fields | ||
| logdir | static | |
| tmstmp | static | |
| version | static const | |
| Public methods | ||
| Check | static | Check versions and set timestamp, log directory. |
| Enumerations | ||
| AggregatorTypes | Tags for Types of vector-valued objective Aggregation. | LINEAR, LOGLINEAR, MULTIPLICATIVE, MINUSSUMOFSQUARES, Aggregators |
| Anonymous enum 1 | lo, hi, Limits | |
| Axes | x,y,z dimensions for graphs | xax, yax, zax, Naxes |
| ConstraintTypes | Tags for Types of Constraints. | EQUALITY, INEQUALITY, ConstraintTypes |
| ConvergenceResults | Code for solutions to Optimization and Non-Linear System solving. | NONE, MAXITERATIONS, FAIL, WEAK, SECONDRESET, STRONG, ConvergenceResults |
| Names_for_012 | Pseudonyms for 0,1,2. | Zero, One, Two |
| Names_for_-1 | Pseudonyms for -1. | UseDefault, UseLabel, UnInitialized, Impossible, DoAll, NoMatch, AllFixed, AllRand, UseSubSample, ResetValue, IterationFailed |
| NextTreatmentStates | Possible next treatment phases. | stayinf, gotonextf, exittreatment, NextTreatmentStates |
| NiD | Used in tracking outcomes. | NotInData, TrackAll |
| NoiseLevels | Levels of output to produce while executing. | SILENT, QUIET, LOUD, NOISY, NoiseLevels |
| ParallelExecutionModes | Modes of Execution when executing in parallel. See BaseTag
|
MultiParamVectors, SubProblems, ParallelModes |
| X | double, integer, static function X() , or object with a members actual and v
|
| x | m×n matrix. |
| rho | double [default=1.0] smoothing factor |
| X | a double, integer, static function of the form X() or X(arg), or any object with a member named v. an array of CV compatible elements will return the horizontal concatenation value of the results as matrix. |
| ... | a single argument can be passed along with X(). Further arguments are ignored |
| V | Nx1 x N matrix vector, N > 1. |
| N | number of points to return |
| mu | mean μ Default=0.0 |
| sigma | standard deviation σ Default=1.0 |
| P | vector of probabilities, p0, p0, … 1-∑pk |
| X | RxNd matrix of points |
| h | bandwidth |
| x | double or vector. |
| X | RxNd matrix of points |
| h | bandwidth. -1 [default] use Silverman > 0.0 value. |
| M | matrix: matrix to compute (column) moments for |
| rlabels | (optional), array of labels for variables |
| oxf | int, print to screen (default), file, printed to file |
| pfx | string to pre-fix |
| s | string or array of strings |
| Ind, | integer or row vector of integers |
| O | offset vector |
| x | m×n matrix. |
| rho | double [default=1.0] smoothing factor |
| v | double or column vector. |
| obj | object |
| cname | Class nameArray of class names |
| Fatal | TRUE [default]= end on the errorFALSE , only issue warning. |
| msg | Message to print if class fails to match (default message is "Class fails to match") |
| sa | a string or an array of strings |
vararray({"A","B","Joe"}) → "A B Joe "
vararray("A B Joe ") → "A B Joe "
| s | string |
varlist("A B Joe") → {"A","B","Joe"}
varlist("Joe") → "Joe"
| key | string, CGI post keyword |
| title | string, HTML title |
| L | string a label or name for the variable. |
| N | positive integer, number of values. N=1 is a constant. |
| Volume | default=SILENT. NoiseLevels |
| MaxV | non-zero double, default = 1.0 N×1 vector, actual If a double is sent the actual vector to 0,&ellip;, MaxV. |
| x | column vector of values |
| trans | TRUE, calculate f and p like output of StateVariable::Transit() |
v = new Discretized(<0;1;2;3>); v->Approx(<-1.3;1.2;2>,TRUE);After exuction, these value will be set:
v.pts = { < 0 //-1.3 is to left of first node 1.0 >, // all weight on the node < 1 2 // 1.2 is between 2nd and 3rd nodes 0.8 0.2 >, // 20% of the gap between nodes < 2 // 2 is exactly equal to 3rd node 1.0 > } v.f = < 0 1 2 3 > // 4 nodes have positive weight v.p = < 1.0 0.0 0.0 0.0 0.0 0.8 0.2 1.0 0.0 0.0 0.0 1.0 >
| LorN | array of strings (labels) string, a list of labels processed by varlist positive integer, number of equations |
| R | integer, number of replications |
| J | integer, choice dimensions |
| iseed | integer, argument sent to ranseed on each call |
| V | J×1 vector of choice values |
| Sigma | J×J variance matrix |
| j | integer, choice to simulate probability for |
| V | J×1 vector of choice values |
| Sigma | J×J variance matrix |
| n | the order of the polynomial |
| order | integer, M |
GHQ::Initialize(8); println("E[x*x] = ", GQH::wght * sqr(GQH::nodes) / M_SQRT2PI );
∫_0+∞ f(x)exp(-x) ≅ ∑m ωm f(xm)
| order | integer, 2-6, 8, 10, 20, 32 |
| inV=0, | if no argument, V data member holds individual values matrix of separable values to be aggregated within columns |
| outv=0, | if no argument, objective stored in this.v address to return objective The matrix passed as inV should be N×M. |
| L | parameter label |
| ival | initial value |
v = start = scale = ival; f = 1.0; Encode();
| newv | value to reset at |
| IsCode | TRUE [default] newv is a free value FALSE newv is structural |
| inV=0, | if no argument, V data member holds individual values matrix of separable values to be aggregated within columns |
| outv=0, | if no argument, objective stored in this.v address to return objective The matrix passed as inV should be N×M. |
| Volume | new NoiseLevels Each quantity variable has a volume setting which is initialized to SILENT. If the new Volume is greater than the current value then a log file is opened if one is not already open. If the new Volume is SILENT and a log file is already open then the log file is closed. |
| inV=0, | if no argument, V data member holds separable values matrix of separable values to be aggregated within columns |
| outv=0, | if no argument, objective stored in this.v address to return objective The matrix passed as inV should be (K×NvfuncTerms)×M. |
| logdir | str (default=""). A directory path or file prefix to attach to all log files. All log files will receive the same time stamp, which is set here. |


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