Trump-backed candidate loses Louisiana governor’s race
by Selim AlgarLouisiana’s Democratic Gov. John Bel Edwards declared victory against Republican rival Eddie Rispone late Saturday — a narrow win that came despite President Trumps’s aggressive support for the GOP challenger.
Trump had routed Hillary Clinton in Louisiana by 20 points in 2016.
“How sweet it is!” Edwards told a crowd of supporters, adding that he had spoken with Rispone by phone.
“And as for the president,” Edwards quipped. “God bless his heart.”
The Associated Press named Edwards the victor with 96 percent of precincts reporting and an advantage of just over 19,300 votes.
Trump had lobbied hard for the Republican businessman, making three separate trips to Louisiana to rally Republican voters.
But those efforts fell short, making Edwards Louisiana’s sole Democratic statewide elected official.
The result serves as a stinging setback for Trump and the GOP, especially after Kentuckians voted in a Democratic governor just 11 days ago, again despite the president’s campaigning.
While his repeated appearances boosted Republican turnout, observers said his injection into Louisiana’s campaign galvanized anti-Trump voters who helped push Edwards to victory.
An attorney and U.S. Army veteran, Edwards became the first Louisiana Democrat to secure consecutive terms since Edwin Edwards in 1976.
Trump had derided him as a liberal liability in league with Nancy Pelosi.


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Laalsa foods in D- 12 Sector 58, Noida is a top player in the category of Caterers in the Noida . Laalsa foods is your home for Indian Vegetarian food ,mouthwatering appetizers, curries, desserts and many more for all ages. Excellence and service come together at Laalsa Foods . Find food that is wholesome, affordable and most importantly healthy. The team of laalsa Foods is committed to make your event memorable by offering exceptional food and high-quality service. From a small company meeting to a huge celebration Laalsa Foods does it all.
This business employs individuals that are dedicated towards their respective roles and put in a lot of effort to achieve the common vision and larger goals of the company. In the near future, this business aims to expand its line of products and services and cater to a larger client base. Laalsa Foods provide great catering services to its customers by putting a large emphasis on details.
This well-known establishment acts as a one-stop destination servicing . Our Customers base is both local and private . If you are looking for a Catering company Then it is time for you to contact Laalsa foods – a well established catering service company. Over the course of its journey, this business has established a firm foothold in it’s industry .We belief that customer satisfaction is as important as the quality of our service . Hygienic, highly affordable, professional and top-notch quality have helped this business garner a vast base of customers, which continues to grow by the day. Our goal is to make people happy, and catering events meant to be special means that we have to go the extra mile to ensure all goes well.
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LEARN MOREDirector of Operations
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Managing Director
Mahesh Sharma is both an excellent marketing strategist and leader, who is frequently called upon for his knowledge of on field knowledge.Mr Sharma is a man of integrity and able to make the tough calls when necessary.
We have a wide range of products and services to cater to the varied requirements of our customers. The staff at this establishment are courteous and prompt at providing any assistance. They readily answer any queries or questions that you may have. Pay for the product or service with ease by using any of the available modes of payment, such as Cash
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Replicating Stata’s ‘Robust’ Option for OLS Standard Errors in R
One of the advantages of using Stata for linear regression is that it can automatically use heteroskedasticity-robust standard errors simply by adding , r
to the end of any regression command. Anyone can more or less use robust standard errors and make more accurate inferences without even thinking about what they represent or how they are determined since it’s so easy just to add the letter r
to any regression.
In R
, robust standard errors are not “built in” to the base language. There are a few ways that I’ve discovered to try to replicate Stata’s “robust” command. None of them, unfortunately, are as simple as typing the letter r
after a regression. Each has its ups and downs, but may serve different purposes.
Below, I will demonstrate the two methods, but first, let’s create some random data that will have heteroskedastic residuals.
set.seed(20)
# draw 500 observations from a random uniform distribution (runif) between 0 and 10.
<-runif(500,0,10)
x
# draw 500 observations from a random normal distribution
<-rnorm(500,mean=x,sd=x) # set mean and sd are set as the value of each x value
y# thus, as x gets larger, so does the sd, and thus the residuals
<-data.frame(x,y) # make x and y variables in a dataframe called "data" data
We then run a regression of y
on x
:
reg<-lm(y~x)
summary(reg)
##
## Call:
## lm(formula = y ~ x)
##
## Residuals:
## Min 1Q Median 3Q Max
## -24.7115 -2.4865 -0.3479 2.9699 20.6123
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.68508 0.52264 1.311 0.191
## x 0.76484 0.08887 8.607 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 5.949 on 498 degrees of freedom
## Multiple R-squared: 0.1295, Adjusted R-squared: 0.1277
## F-statistic: 74.08 on 1 and 498 DF, p-value: < 2.2e-16
Let’s plot a scatterplot to visualize the data and add the regression line. Clearly, the data is “fan” shaped, centered on the regression line, but with larger and larger residuals (distance between the regression line and the data point, \(\hat{\epsilon}_i=\hat{Y}_i-Y_i\)) as \(X\) gets larger.
I have also broken up the scatterplot into 5 different sections over the range of x
values. Below, I plot density plots of the residuals over each of the 5 different ranges of x
values, and we can clearly see that the variance of the residuals dramatically increases as x
increases.
Using the lmtest
package, we can also formally run a Breusch-Pagan test for heteroskedasticity.
library("lmtest")
bptest(reg)
##
## studentized Breusch-Pagan test
##
## data: reg
## BP = 90.547, df = 1, p-value < 2.2e-16
Method 1: Sandwich
package
In order to understand what the “fix” in this method is actually doing, we also need to look “under the hood” of what R
is doing when it runs OLS and stores everything in the lm
regression object.
One thing stored in reg
is the variance-covariance matrix, estimating the covariance of each OLS estimator (the “betas”) with every other OLS estimator:
\[ \begin{pmatrix} cov(\hat{\beta_0},\hat{\beta_0}) & cov(\hat{\beta_0},\hat{\beta_1}) & \cdots & cov(\hat{\beta_0},\hat{\beta_k})\\\\\\ cov(\hat{\beta_1},\hat{\beta_0}) & cov(\hat{\beta_1},\hat{\beta_1}) & \cdots & cov(\hat{\beta_1},\hat{\beta_k})\\\\\\ \vdots & \vdots & \ddots & \vdots \\\\\\ cov(\hat{\beta_k},\hat{\beta_0}) & cov(\hat{\beta_k},\hat{\beta_1}) & \cdots & cov(\hat{\beta_k},\hat{\beta_k})\\\\\\ \end{pmatrix}\]
Since the covariance of anything with itself is the variance, the diagonal elements of this matrix are the variances of the OLS estimators:
\[\begin{pmatrix}var(\hat{\beta_0}) & cov(\hat{\beta_0},\hat{\beta_1}) & \cdots & cov(\hat{\beta_0},\hat{\beta_k})\\\\\\ cov(\hat{\beta_1}, \hat{\beta_0}) & var(\hat{\beta_1}) & \cdots & cov(\hat{\beta_1},\hat{\beta_k})\\\\\\ \vdots & \vdots & \ddots & \vdots \\\\\\ cov(\hat{\beta_k},\hat{\beta_0}) & cov(\hat{\beta_k},\hat{\beta_1}) & \cdots & var(\hat{\beta_k})\\\\\\ \end{pmatrix}\]
So if we look at the simple \(2 \times 2\) variance-covariance matrix in our simple reg
using vcov
, we see.
vcov(reg)
## (Intercept) x
## (Intercept) 0.27315741 -0.039976551
## x -0.03997655 0.007897029
We can extract just the diagonal of the matrix with diag()
:
diag(vcov(reg))
## (Intercept) x
## 0.273157410 0.007897029
These are the variances of \(\hat{\beta_0}\) and \(\hat{\beta_1}\). Since the standard error of an estimator is the square root of its variance, we simply square root these values to get the standard errors of \(\hat{\beta_0}\) and \(\hat{\beta_1}\), which were originally reported in our regression output next to the coefficient estimates.
sqrt(diag(vcov(reg)))
## (Intercept) x
## 0.52264463 0.08886523
Now, the whole problem is we know that due to heteroskedasticity, the standard errors are incorrectly estimated. To fix this, we use the sandwich
package that allows us to manually recalculate the variance-covariance matrix using methods robust to heteroskedasticity. This is why I went through the trouble of describing the variance-covariance matrix above, as we will be recalculating it using a different method, the HC1
method, which is how Stata calculates it. I then store these calculates as rse
in my original lm
object called reg
.
library("sandwich") # package that allows for robust SE estimation
# create Robust Standard Errors for regression as 'reg$rse'
$rse <-sqrt(diag(vcovHC(reg, type="HC1")))
reg# same procedure as above but now we generate vcov with "HC1" method
If we now want to recreate the regression output table produced by summary(reg)
, we need to use the coeftest
function, which is a part of the lmtest
package. Just to verify, if we run coeftest()
on our original reg
, it prints the regression output table with coefficient estimates, standard errors, \(t\)-statistics, and \(p\)-values.
coeftest(reg) # test with normal SEs
##
## t test of coefficients:
##
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.685077 0.522645 1.3108 0.1905
## x 0.764836 0.088865 8.6067 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
If we run it again, but set the vcov
option to ccovHC(reg, "HC1")
, it will print the robust standard errors.
coeftest(reg,vcov=vcovHC(reg,"HC1")) # tests with robust SEs
##
## t test of coefficients:
##
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.685077 0.312060 2.1953 0.0286 *
## x 0.764836 0.093579 8.1732 2.504e-15 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
These command simply print the robust standard errors for us to see in the console as we run our analyses. If we want to take these and actually output them in a presentable regression table, we will use the well-known stargazer
package, used to take R
regression lm
objects and print scholarly journal-quality regression tables.
The nice thing is stargazer
has an option to set where the standard errors are pulled from. We stored our robust standard errors in reg
as a vector called rse
. Below, I print the stargazer
regression table (with several personalized options) for this webpage, showing the our regression twice, once with the normal standard errors, and the second time with the robust standard errors. For more, see Jake Russ’ cheat sheet.
library("stargazer")
stargazer(reg, reg,
se=list(NULL,reg$rse),
type="html",
column.labels = c("Normal", "Robust SEs"),
title="Regression Results",
dep.var.caption = "",
omit.stat=c("adj.rsq","f"))
The key to notice is se=list(NULL,reg$rse)
, which creates a list of objects from which to pull the standard errors for each regression in the table. The first regression uses the standard methods, needing no special source, so it is set to NULL
. The second regression, also reg
, uses our robust standard errors stored in reg$rse
. The output of the table is below:
| x |
| Constant |
| Observations |
| R2 |
| Residual Std. Error (df = 498) |
| Note: |
A casual search around the internet, as well as the textbook that I use shows that this is the most common or reccomended method for achieving robust standard errors.
Method 2: Using estimatr
I recently discovered another package called estimatr
that achieves the simplicity of changing a single word, just like in Stata.
Loading the estimatr
package, all we need to do is create a new regression (I’ll call it reg.robust
) and instead of running a normal linear model with lm
, we run lm_robust
, and set the standard errors se_type="stata"
to calculate using the HC1 method (same as above).
library("estimatr")
<-lm_robust(y~x,se_type = "stata")
reg.robustsummary(reg.robust)
##
## Call:
## lm_robust(formula = y ~ x, se_type = "stata")
##
## Standard error type: HC1
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|) CI Lower CI Upper DF
## (Intercept) 0.6851 0.31206 2.195 2.860e-02 0.07196 1.2982 498
## x 0.7648 0.09358 8.173 2.504e-15 0.58098 0.9487 498
##
## Multiple R-squared: 0.1295 , Adjusted R-squared: 0.1277
## F-statistic: 66.8 on 1 and 498 DF, p-value: 2.504e-15
We can see the standard errors are now identical to the robust ones from the method above.
One other nicety of estimatr
is that it can create tidy data.frame
versions of R
default regression output tables, much like the broom
package in the tidyverse
. We do this simply with the tidy()
command on our reg.robust
.
tidy(reg.robust)
Until today, I thought that was all estimatr
could do: it could show us the robust standard errors, but we could not present it in an output table with stargazer
. lm_robust
objects do not get along well with stargazer
, only lm
objects.
Documentation is extremely scarce, but there is a starprep()
command to enable use of estimatr
lm_robust
objects with stargazer
. After a lot of searching and trial and error, the process seems to be that using starprep
extracts only the (robust) standard errors from the lm_robust
regression, meaning we just need to insert this into stargazer
’s se=
option.
# this is what starprep extracts
starprep(reg.robust)
## [[1]]
## (Intercept) x
## 0.31205969 0.09357893
Below, again, I run stargazer
on our original reg
twice, with the second instance using robust standard errors via estimatr
. Specifically notice the list for se
; again, like the fist method above, we use the default for the first regression (hence NULL
), and for the second, we use starprep(reg.robust)
to extract from estimatr
.
stargazer(reg, reg,
se=starprep(reg,reg.robust),
type="html",
column.labels = c("Normal", "Robust SEs"),
title="Regression Results",
dep.var.caption = "",
omit.stat=c("adj.rsq","f"))
| x |
| Constant |
| Observations |
| R2 |
| Residual Std. Error (df = 498) |
| Note: |
Again, we can see both methods achieve results identical to Stata. The nice thing about estimatr
is we do not need to mess around with the variance-covariance matrix!


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For more information and to make reservations please contact us or stop into the store.
Every month we will be hosting bike trips starting on May 9th, 2015, with multiple tours on each date. Trips will be available at all experience levels. Different trips focuses will include New York City bike tours, country bike rides, and biking trips up into the mountains of surrounding areas. We are able to accommodate various party sizes from one person to large parties with full equipment available if you wish. With so many options available, why not bring the whole family for a day of active fun!
For more information and to make reservations please contact us or stop into the store.
Every month we will be hosting bike trips starting on May 9th, 2015, with multiple tours on each date. Trips will be available at all experience levels. Different trips focuses will include New York City bike tours, country bike rides, and biking trips up into the mountains of surrounding areas. We are able to accommodate various party sizes from one person to large parties with full equipment available if you wish. With so many options available, why not bring the whole family for a day of active fun!
This famous park located right in the middle of the city offers an interesting ride for both beginners and seasoned riders. The six mile long loop located around the park allows riders to start from many entry locations as well as have great places to stop for the view and for picking up something to eat. Whether you have just started biking or are looking for a challenge, this tour will get you started on the right pedal!
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Although this park is smaller than its brother in Manhattan, this trip packs in just as much experiences. At approximately 3 miles, the loop is about half the length of Central Park. Special attention is held to the surrounding area as well, where the landscape offers rolling hills, flats, and serene settings. Whether or not you have completed the Central Park Tour, this tour is perfect for all!
Home to one of the first bike paths in the United States, this tour caters to both the new and experienced rider. Although in the past some of the path has been demolished for expressways, this path continues to offer its glory of scenery. Whether you are looking for a safer tour or are a history lover, this tour is perfect for all!
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I feel the market is changing, yet again. Recruitment advertising goes back and forth, and you can track the potted history of recruitment advertising through my various blogs over recent months and years. This blog is actually an alternative view from what I’ve previously written about. It’s more a debate rather than a definitive view. I […]
Continue ReadingThe numbers vary depending on who you talk to, but one of the latest numbers I read was that we are exposed to something like 10,000 adverts each and every day. The number of those that actually influence us is up for discussion, but its fair to say that they often go unnoticed, unless we […]
Continue ReadingIn September 2016 we embarked on a new adventure here at Wave and employed our first ever apprentices. Our apprenticeship programme is for 12 months but in order to give the apprentices a full introduction to the company we are letting them split the first 6 months spending equal time in our 3 departments, then […]
Continue ReadingThis week I’ll be taking off 2 weeks annual leave which normally people can’t wait to come round and be off work. Me on the other hand, I’m a little anxious. Not because I’ll be worried how work will be in my absence, but what I have planned during my time off.
Continue ReadingFirst Christmas challenge at Wave completed! Guess how many ornaments are on the Christmas tree #ChristmasAtWork #AgencyLife
When no one is ready for the Christmas jumper photo so you look like a weirdo on your own #ChristmasJumperDay… https://t.co/IAjLPpk6aS
Having recently joined the forward thinking companies that are investing in apprentices, I’m writing about my experience of them so far first hand. A few months in the planning and we’re underway with our Apprenticeship programme. And very exciting it is too.
Continue ReadingSummer is pretty much over, and we're faced with a bank holiday-less three months in the run up to Christmas. We're seeing back to school adverts all over the TV (adverts I used to dread by the way), and something of normality is to be restored for me having been away for a few long weekends this summer.
Continue ReadingThere is no doubt that the recruitment business is busy all year round. Job seekers are looking for new opportunities constantly. However is there a specific time of the year where job hunting reaches its peak or downtime? How can this information be useful for recruitment agencies and help them better understand the recruitment cycle?
Continue ReadingOn Thursday evening, Luis Cajao and Matthew Holmes from our studio went to the European premiere of Invision's Design Disruptors at the London Palladium, which highlighted the importance of design and user experience in business and how design approaches affect the industry.
Continue Reading4 steps to use #FacebookAdvertising for your business. Read our blog on #SocialMedia #Facebook strategy http://ow.ly/LdZn306VHvj
Improve your reach with Facebook advertising #SocialMediaMarketing #SocialMedia #FacebookMarketing… https://t.co/rgz2mAIcl3


I hold grudges easily against other person.
I like to joke with my friends.
I'm flexible and tolerant.
I'm efficient and organized.
I'm aggressive and competitive.
I'm task oriented.
I put Honesty and Integrity Above Everything Else.
I enjoy outdoor activities.
I enjoy social media.


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| ChristiaanJ 22nd Aug 2010, 21:04 permalink Post: 73 |
Quote:
And I enjoy answering those questions, if and whenever I can!
Quote:
It was one reason why, when Air France withdrew an aircraft from service, Fox Delta was the first one to go. Also, due to the gradual improvements in production methods, and minor redesign, the last British production Concorde, G-BOAF, was about a ton lighter than the first one (G-BOAC). While the differences weren't huge, they were noticeable.
Quote:
Quote:
According to 'Wikipedia', 67 engines were built, which would mean, in theory , 64 engines for 16 aircraft and 3 spares.... In practice, of course, fewer aircraft flew at any one time, so the statistics are different, but even so, a lot of engine swapping went on over the years. As to the MTBO, I don't know... it's not my field at all.... |
||||
| ChristiaanJ 22nd Aug 2010, 22:54 permalink Post: 76 |
The story has never been fully elucidated....
But in brief, F-BVFD made an extremely hard landing at Dakar in November 1977, with a vertical speed in the order of 14 ft/sec (with 10 ft/sec being the formal limit). The result was a major tailstrike, ruining the tail wheel and some of the tail structure. The aircraft was repaired, repatriated, and put back into service, but it was the first one to be withdrawn from service when the Paris-Dakar-Rio route was closed. In the end it was scrapped in 1994... only a section of the forward fuselage still remains in the stores of the Air and Space Museum at Le Bourget (Paris). |
||||
| NHerby 10th Jul 2012, 09:10 permalink Post: 1655 |
@CliveL
Quote:
A few pages earlier on this thread some of you have posted some of their favourite photos of Concorde. Here are very sad, chocking and rare photos: This is 211 (F-BVFD) after "Air France's special treatment" (shame on them). The photos were taken in 1994. More photos of this can be seen here: Maripa : Documentation photographique. To compensate, here's one of my favourite: Most of those photos were taken at Toulouse (we saw a lot from Filton in this thread but very few from France). The caption of the top left picture says it is 102 (F-WTSA) and 201 (F-WTSB) in the background. The image comes from a french website ( Concorde dans la presse de 1965 \xe0 2003 ) gathering hundreds of articles about Concorde. Very interesting but in French only. I particulary like this last serie of photos because it shows the process of a dream turning into reality, the beginning of such a beautiful adventure and the symbol of a time where national pride and technical achievment had more importance and value than the basic investment/profitability ratio that rules the world today! And now, more than 40 years later, not only we are not able to build a SST but we are also not able to make a SST flying again. And this leads to a new question (maybe another 64000$ one): As we can see in those photos and as I have seen in photos from Filton, several pre-production and production airframes were built at the same time. Did the fabrication of pre-production or production a/c had to be stopped at some point to wait for in flight test results? Similar question: did the early flights revealed unforseen problems that needed to be sorted out before the program can move on? |
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public class GlyphSequence
extends java.lang.Object
implements java.lang.Cloneable
A GlyphSequence encapsulates a sequence of character codes, a sequence of glyph codes, and a sequence of character associations, where, for each glyph in the sequence of glyph codes, there is a corresponding character association. Character associations server to relate the glyph codes in a glyph sequence to the specific characters in an original character code sequence with which the glyph codes are associated.
This work was originally authored by Glenn Adams (gadams@apache.org).
| Modifier and Type | Field and Description |
|---|---|
protected GlyphSequence |
unprocessedGS |
| Constructor and Description |
|---|
GlyphSequence(GlyphSequence gs)
Instantiate a glyph sequence using an existing glyph sequence, where the new glyph sequence shares
the character array of the existing sequence (but not the buffer object), and creates new copies
of glyphs buffer and association list.
|
GlyphSequence(GlyphSequence gs,
int[] bga,
int[] iga,
int[] lga,
CharAssociation[] bal,
CharAssociation[] ial,
CharAssociation[] lal)
Instantiate a glyph sequence using an existing glyph sequence, where the new glyph sequence shares
the character array of the existing sequence (but not the buffer object), but uses the specified
backtrack, input, and lookahead glyph arrays to populate the glyphs, and uses the specified
of glyphs buffer and association list.
|
GlyphSequence(java.nio.IntBuffer characters,
java.nio.IntBuffer glyphs,
java.util.List associations)
Instantiate a glyph sequence, reusing (i.e., not copying) the referenced
character and glyph buffers and associations.
|
GlyphSequence(java.nio.IntBuffer characters,
java.nio.IntBuffer glyphs,
java.util.List associations,
boolean predications)
Instantiate a glyph sequence, reusing (i.e., not copying) the referenced
character and glyph buffers and associations.
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.Object |
clone() |
int |
compareGlyphs(java.nio.IntBuffer gb)
Compare glyphs.
|
static java.util.List |
concatAssociations(CharAssociation[] baa,
CharAssociation[] iaa,
CharAssociation[] laa)
Concatenante association arrays.
|
static java.nio.IntBuffer |
concatGlyphs(int[] bga,
int[] iga,
int[] lga)
Concatenante glyph arrays.
|
CharAssociation |
getAssociation(int index)
Obtain association at specified index.
|
java.util.List |
getAssociations()
Obtain reference to underlying associations list.
|
CharAssociation[] |
getAssociations(int offset,
int count)
Obtain count associations starting at offset.
|
int[] |
getCharacterArray(boolean copy)
Obtain array of characters.
|
int |
getCharacterCount()
Obtain the number of characters in character array, where
each character constitutes a unicode scalar value.
|
java.nio.IntBuffer |
getCharacters()
Obtain reference to underlying character buffer.
|
int |
getGlyph(int index)
Obtain glyph id at specified index.
|
int[] |
getGlyphArray(boolean copy)
Obtain array of glyphs.
|
int |
getGlyphCount()
Obtain the number of glyphs in glyphs array, where
each glyph constitutes a font specific glyph index.
|
java.nio.IntBuffer |
getGlyphs()
Obtain reference to underlying glyph buffer.
|
int[] |
getGlyphs(int offset,
int count)
Obtain count glyphs starting at offset.
|
java.lang.Object |
getPredication(int offset,
java.lang.String key)
Get predication KEY at glyph sequence OFFSET.
|
boolean |
getPredications()
Obtain predications state.
|
int |
getUnprocessedGlyph(int index) |
int |
getUTF16CharacterCount()
Obtain the number of characters in character array, where
each character constitutes a UTF-16 character.
|
static GlyphSequence |
join(GlyphSequence gs,
GlyphSequence[] sa)
Join (concatenate) glyph sequences.
|
static GlyphSequence |
reorder(GlyphSequence gs,
int source,
int count,
int target)
Reorder sequence such that [SOURCE,SOURCE+COUNT) is moved just prior to TARGET.
|
static boolean |
sameGlyphs(int[] ga1,
int[] ga2)
Determine if two arrays of glyphs are identical.
|
void |
setGlyph(int index,
int gi)
Set glyph id at specified index.
|
void |
setPredication(int offset,
java.lang.String key,
java.lang.Object value)
Set predication <KEY,VALUE> at glyph sequence OFFSET.
|
void |
setPredications(boolean enable)
Enable or disable predications.
|
void |
setUnprocessedGS(GlyphSequence glyphSequence) |
java.lang.String |
toString() |
protected GlyphSequence unprocessedGS
public GlyphSequence(java.nio.IntBuffer characters, java.nio.IntBuffer glyphs, java.util.List associations, boolean predications)
characters
- a (possibly null) buffer of associated (originating) charactersglyphs
- a (possibly null) buffer of glyphsassociations
- a (possibly null) array of glyph to character associationspredications
- true if predications are enabledpublic GlyphSequence(java.nio.IntBuffer characters, java.nio.IntBuffer glyphs, java.util.List associations)
characters
- a (possibly null) buffer of associated (originating) charactersglyphs
- a (possibly null) buffer of glyphsassociations
- a (possibly null) array of glyph to character associationspublic GlyphSequence(GlyphSequence gs)
gs
- an existing glyph sequencepublic GlyphSequence(GlyphSequence gs, int[] bga, int[] iga, int[] lga, CharAssociation[] bal, CharAssociation[] ial, CharAssociation[] lal)
gs
- an existing glyph sequencebga
- backtrack glyph arrayiga
- input glyph arraylga
- lookahead glyph arraybal
- backtrack association listial
- input association listlal
- lookahead association listpublic java.nio.IntBuffer getCharacters()
public int[] getCharacterArray(boolean copy)
copy
is true, then
a newly instantiated array is returned, otherwise a reference to
the underlying buffer's array is returned. N.B. in case a reference
to the undelying buffer's array is returned, the length
of the array is not necessarily the number of characters in array.
To determine the number of characters, use getCharacterCount()
.copy
- true if to return a newly instantiated array of characterspublic int getCharacterCount()
public int getUTF16CharacterCount()
public int getGlyph(int index) throws java.lang.IndexOutOfBoundsException
index
- to obtain glyphjava.lang.IndexOutOfBoundsException
- if index is less than zero
or exceeds last valid positionpublic int getUnprocessedGlyph(int index) throws java.lang.IndexOutOfBoundsException
java.lang.IndexOutOfBoundsException
public void setUnprocessedGS(GlyphSequence glyphSequence)
public void setGlyph(int index, int gi) throws java.lang.IndexOutOfBoundsException
index
- to set glyphgi
- glyph indexjava.lang.IndexOutOfBoundsException
- if index is greater or equal to
the limit of the underlying glyph bufferpublic java.nio.IntBuffer getGlyphs()
public int[] getGlyphs(int offset, int count)
count
is
negative, then it is treated as if the number of available glyphs
were specified.offset
- into glyph sequencecount
- of glyphs to obtain starting at offset, or negative,
indicating all avaialble glyphs starting at offsetpublic int[] getGlyphArray(boolean copy)
copy
is true, then
a newly instantiated array is returned, otherwise a reference to
the underlying buffer's array is returned. N.B. in case a reference
to the undelying buffer's array is returned, the length
of the array is not necessarily the number of glyphs in array.
To determine the number of glyphs, use getGlyphCount()
.copy
- true if to return a newly instantiated array of glyphspublic int getGlyphCount()
public CharAssociation getAssociation(int index) throws java.lang.IndexOutOfBoundsException
index
- into associations arrayjava.lang.IndexOutOfBoundsException
- if index is less than zero
or exceeds last valid positionpublic java.util.List getAssociations()
public CharAssociation[] getAssociations(int offset, int count)
offset
- into glyph sequencecount
- of associations to obtain starting at offset, or negative,
indicating all avaialble associations starting at offsetpublic void setPredications(boolean enable)
enable
- true if predications are to be enabled; otherwise false to disablepublic boolean getPredications()
public void setPredication(int offset, java.lang.String key, java.lang.Object value)
offset
- offset (index) into glyph sequencekey
- predication keyvalue
- predication valuepublic java.lang.Object getPredication(int offset, java.lang.String key)
offset
- offset (index) into glyph sequencekey
- predication keypublic int compareGlyphs(java.nio.IntBuffer gb)
gb
- buffer containing glyph indices with which this glyph sequence's glyphs are to be comparedpublic java.lang.Object clone()
clone
in class java.lang.Object
public java.lang.String toString()
toString
in class java.lang.Object
public static boolean sameGlyphs(int[] ga1, int[] ga2)
ga1
- first glyph arrayga2
- second glyph arraypublic static java.nio.IntBuffer concatGlyphs(int[] bga, int[] iga, int[] lga)
bga
- backtrack glyph arrayiga
- input glyph arraylga
- lookahead glyph arraypublic static java.util.List concatAssociations(CharAssociation[] baa, CharAssociation[] iaa, CharAssociation[] laa)
baa
- backtrack association arrayiaa
- input association arraylaa
- lookahead association arraypublic static GlyphSequence join(GlyphSequence gs, GlyphSequence[] sa)
gs
- original glyph sequence from which to reuse character array referencesa
- array of glyph sequences, whose glyph arrays and association lists are to be concatenatedpublic static GlyphSequence reorder(GlyphSequence gs, int source, int count, int target)
gs
- input sequencesource
- index of sub-sequence to reordercount
- length of sub-sequence to reordertarget
- index to which source sub-sequence is to be movedCopyright 1999-2020 The Apache Software Foundation. All Rights Reserved.


|
facebook360_dep
Facebook360 Depth Estimation Pipeline
|
Public Attributes | |
| parent | |
| tag | |
| dlg | |
| is_viewer_rift_hidden | |
| is_viewer_smr_hidden | |
| formats | |
| is_host_linux_gpu | |
| is_local_non_win | |
| log_reader | |
Tab in UI responsible for producing meshed binaries and other final output formats (e.g. color and disparity equirects) and viewing them in corresponding PC and headset displays. Attributes: dlg (App(QDialog)): Main dialog box for the app initialized by QT. formats (dict[str, str]): Formats that can be rendered given the render configuration. is_farm (bool): Whether or not this is a farm render. is_host_linux_gpu (bool): Whether or not this is a Linux GPU machine or not. is_local_non_win (bool): Whether this is a Windows machine or not. is_viewer_rift_hidden (bool): Whether or not to display the "RiftViewer" button. is_viewer_smr_hidden (bool): Whether or not to display the "SimpleMeshRenderer" button. log_reader (LogReader(QtCore.QObject)): Object to interact with UI logging system. parent (App(QDialog)): Object corresponding to the parent UI element. path_rig_json (str): Path to the rig JSON. tag (str): Semantic name for the tab.
| def export.Export.__init__ | ( | self, | |
| parent | |||
| ) |
Initializes the Export tab. Args: parent (App(QDialog)): Object corresponding to the parent UI element.
| def export.Export.activate_ipc | ( | self, | |
| ipc_name | |||
| ) |
Runs an application. This only works if the app is set up with a corresponding IPC file that is monitored by the Watchdog (defined in config.py). Args: ipc_name (str): Name of the binary (must be a case in config.get_app_name). Otherwise this is a no-op.
| def export.Export.add_data_type_validators | ( | self | ) |
Adds validators for UI elements.
| def export.Export.add_default_flags | ( | self | ) |
Retrieves the default flags to the local flagfile.
| def export.Export.cancel_process | ( | self | ) |
Stops a running process.
| def export.Export.disable_tab_if_no_data | ( | self | ) |
Prevents navigation to the tab if the required data is not present.
| def export.Export.get_color_scale | ( | self, | |
| dst_width, | |||
| color_type | |||
| ) |
| def export.Export.get_ec2_instance_types | ( | self | ) |
Gets valid instances that can be spawned for a job. Returns: list[str]: Names of valid instance types.
| def export.Export.get_files | ( | self, | |
| tag | |||
| ) |
Retrieves file names corresponding to the desired attribute. Args: tag (str): Semantic name for the attribute. Returns: list[str]: List of file names. Raises: Exception: If a tag is requested with no associated files.
| def export.Export.get_format | ( | self, | |
flags_from_data = True |
|||
| ) |
Gets format to populate the flagfile. Args: flags_from_data (dict[str, _]): Flags and their values, typically pulled from the UI. Returns: str: Format in the UI that should populate the flagfile.
| def export.Export.get_format_from_value | ( | self, | |
| value | |||
| ) |
Gets format to populate the UI from the flagfile. This is needed since the format displayed on the UI and in the internal pipeline differ (for readability). Args: value (str): Value from the flagfile (i.e. eqrcolor). Returns: str: Format to be displayed in the UI (i.e. Equirect Color).
| def export.Export.get_frame_names | ( | self | ) |
Finds all the frames in a local directory. Returns: list[str]: Sorted list of frame names in the directory.
| def export.Export.get_logs | ( | self | ) |
Callback event handler for clicking the "Logs" button.
| def export.Export.get_valid_types | ( | self | ) |
Checks which render types are valid. Returns: list[str]: Subset of ("background", "video") depending on if the corresponding inputs are present.
| def export.Export.initialize_paths | ( | self | ) |
Initializes paths for scripts and flags.
| def export.Export.initialize_viewer_buttons | ( | self | ) |
Sets up buttons to IPC callbacks on the host.
| def export.Export.is_local_render | ( | self | ) |
Whether or not the current render is configured to be performed locally. Returns: bool: If the render will be performed locally.
| def export.Export.on_changed_dropdown | ( | self, | |
| gb, | |||
| dd | |||
| ) |
Callback event handler for changed dropdown. Args: gb (QtWidgets.QGroupBox): Group box for the tab. dd (QtWidgets.QComboBox): Dropdown UI element.
| def export.Export.on_changed_flagfile_edit | ( | self | ) |
Callback event handler for flagfile edits.
| def export.Export.on_changed_line_edit | ( | self, | |
| gb, | |||
| le | |||
| ) |
Callback event handler for changed line edit. Args: gb (QtWidgets.QGroupBox): Group box for the tab. le (QtWidgets.QLineEdit): Line edit UI element.
| def export.Export.on_changed_preview | ( | self | ) |
Callback event handler for changed image previews.
| def export.Export.on_download_meshes | ( | self | ) |
Callback event handler for clicking the "Download Meshes" button.
| def export.Export.on_ec2_dashboard | ( | self | ) |
Callback event handler for clicking the "EC2 Dashboard" button.
| def export.Export.on_process_finished | ( | self, | |
| exitCode, | |||
| exitStatus, | |||
| p_id | |||
| ) |
Callback event handler for a process completing. Args: exitCode (int): Return code from running the process. exitStatus (str): Description message of process exit. p_id (str): PID of completed process.
| def export.Export.on_state_changed_alpha_blend | ( | self | ) |
Callback event handler for changed alpha value.
| def export.Export.on_state_changed_farm | ( | self, | |
| state | |||
| ) |
Callback event handler for changed "AWS" checkbox. Args: state (str): Identifier of the callback state.
| def export.Export.on_state_changed_recompute | ( | self | ) |
Callback event handler for clicking the "Re-compute" checkbox.
| def export.Export.on_terminate_cluster | ( | self | ) |
Terminates a running cluster.
| def export.Export.populate_dropdowns | ( | self, | |
| gb | |||
| ) |
Populates the dropdowns in the tab. Args: gb (QtWidgets.QGroupBox): Group box for the tab.
| def export.Export.refresh | ( | self | ) |
Resets the UI tab to its start state.
| def export.Export.refresh_data | ( | self | ) |
Updates UI elements to be in sync with data on disk.
| def export.Export.reset_run_button_text | ( | self | ) |
| def export.Export.retrieve_missing_flagfiles | ( | self | ) |
Copies the missing flagfiles to project for local modification.
| def export.Export.run_process | ( | self | ) |
Runs the default binary associated with the tab.
| def export.Export.save_flag_file | ( | self | ) |
Saves flagfile from the UI to disk.
| def export.Export.set_default_top_level_paths | ( | self, | |
mkdirs = False |
|||
| ) |
Defines class referenceable attributes for paths. See common for full set of definitions. Args: mkdirs (bool, optional): Whether or not to make the defined directories.
| def export.Export.setup_aws_config | ( | self | ) |
Configures the AWS credentials.
| def export.Export.setup_data | ( | self | ) |
Sets up callbacks and initial UI element statuses.
| def export.Export.setup_farm | ( | self | ) |
Sets up a Kubernetes farm for AWS renders.
| def export.Export.setup_flags | ( | self | ) |
Sets up the flags according to the corresponding flagfile.
| def export.Export.setup_logs | ( | self | ) |
Sets up logging system for dialog on the current tab.
| def export.Export.setup_project | ( | self, | |
mkdirs = False |
|||
| ) |
Retrieves any missing flagfiles and sets the default flags for the tab. Args: mkdirs (bool, optional): Whether or not to make the directories where the outputs are saved by default.
| def export.Export.switch_ui_elements_for_processing | ( | self, | |
| state | |||
| ) |
Switches element interaction when processing. Args: state (bool): State to which elements should be changed to (i.e. True for enabled, False for disabled)
| def export.Export.sync_with_s3 | ( | self | ) |
Syncs data available locally with the S3 bucket.
| def export.Export.update_buttons | ( | self, | |
| gb | |||
| ) |
Enables buttons and dropdowns according to whether or not data is present. Args: gb (QtWidgets.QGroupBox): Group box for the tab.
| def export.Export.update_data_from_flags | ( | self, | |
| flags | |||
| ) |
Updates UI elements from the flags. Args: flags (dict[str, _]): Flags corresponding to the tab default binary.
| def export.Export.update_data_or_flags | ( | self, | |
| flagfile_fn, | |||
| flagfile_from_data, | |||
switch_to_flag_tab = False |
|||
| ) |
Updates the flagfile from the UI elements or vice versa. Args: flagfile_fn (str): Name of the flagfile. flagfile_from_data (bool): Whether to load the flagfile from the data (True) or vice versa (False). switch_to_flag_tab (bool, optional): Whether or not to switch tabs after updating.
| def export.Export.update_ec2_dropdown | ( | self | ) |
Displays only valid values in the dropdown for EC2 instance types.
| def export.Export.update_file_type | ( | self | ) |
Enables/disables file type depending on the format
| def export.Export.update_flagfile | ( | self, | |
| flagfile_fn | |||
| ) |
Updates the flagfile from UI elements. Args: flagfile_fn (str): Name of the flagfile.
| def export.Export.update_flagfile_edit | ( | self, | |
| flagfile_fn, | |||
switch_to_flag_tab = True |
|||
| ) |
Updates the edit box for the flagfile. Args: flagfile_fn (str): Name of the flagfile. switch_to_flag_tab (bool, optional): Whether or not to switch tabs after updating.
| def export.Export.update_flags_from_data | ( | self, | |
| flags | |||
| ) |
Updates flags from the UI elements. Args: flags (dict[str, _]): Flags corresponding to the tab default binary.
| def export.Export.update_frame_range_dropdowns | ( | self | ) |
Updates ranges displayed in dropdowns per available files on disk.
| def export.Export.update_label_resolution | ( | self | ) |
| def export.Export.update_run_button_text | ( | self | ) |
Updates the text of the Run button depending on the existance of a process running on the cloud
| def export.Export.update_viewer_buttons | ( | self | ) |
Only enable viewer buttons based on what is possible from the host, i.e. RiftViewer will be disabled on any non-Windows computer.
| export.Export.dlg |
| export.Export.formats |
| export.Export.is_host_linux_gpu |
| export.Export.is_local_non_win |
| export.Export.is_viewer_rift_hidden |
| export.Export.is_viewer_smr_hidden |
| export.Export.log_reader |
| export.Export.parent |
| export.Export.tag |


These tests exercise the panel widget
| Set dimensions via width and height |
|
| Set dimensions via style |
|
| You should see an alert when you shade/unshade |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see an alert when you close/open |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a light gray speech bubble with the tail in the left |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a light gray speech bubble with the tail in the left |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a light gray speech bubble with the tail in the right |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a light gray squared speech bubble with the tail on the left |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a light gray squared speech bubble with the tail on the right |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a dark gray speech bubble with the tail in the left |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a dark gray speech bubble with the tail in the right |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a dark gray squared speech bubble with the tail on the left |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a dark gray squared speech bubble with the tail on the right |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a shadeable panel without a close button and no header text |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a shadeable panel without a close button and no header text |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a shadeable and closeable panel |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| Hide Via a Message: Hide me |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| This panel should be resizable |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| This panel should be draggable |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a short, dark gray panel with a header |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a short, dark gray panel without a header |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a short, dark_gray panel with a header and rounded corners |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a short, dark gray panel without a header an rounded corners |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a short, light gray panel with a header |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a short, light gray panel without a header |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a short, light_gray panel with a header and rounded corners |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| You should see a short, light gray panel without a header an rounded corners |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune |
| The buttons shouldn't block any of the text |
|
| You should see a long panel, dark_gray panel without a header |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune Or to take arms against a sea of troubles And by opposing end them. To die, to sleep - No more - and by a sleep to say we end The heartache, and the thousand natural shocks That flesh is heir to. 'Tis a consummation Devoutly to be wished. To die, to sleep - To sleep - perchance to dream: ay, there's the rub, For in that sleep of death what dreams may come When we have shuffled off this mortal coil, Must give us pause. There's the respect That makes calamity of so long life. For who would bear the whips and scorns of time, Th' oppressor's wrong, the proud man's contumely The pangs of despised love, the law's delay, The insolence of office, and the spurns That patient merit of th' unworthy takes, When he himself might his quietus make With a bare bodkin? Who would fardels bear, To grunt and sweat under a weary life, But that the dread of something after death, The undiscovered country, from whose bourn No traveller returns, puzzles the will, And makes us rather bear those ills we have Than fly to others that we know not of? Thus conscience does make cowards of us all, And thus the native hue of resolution Is sicklied o'er with the pale cast of thought, And enterprise of great pitch and moment With this regard their currents turn awry And lose the name of action. - Soft you now, The fair Ophelia! - Nymph, in thy orisons Be all my sins remembered. |
| You should see a long, dark gray panel with a header |
Whether 'tis nobler in the mind to suffer The slings and arrows of outrageous fortune Or to take arms against a sea of troubles And by opposing end them. To die, to sleep - No more - and by a sleep to say we end The heartache, and the thousand natural shocks That flesh is heir to. 'Tis a consummation Devoutly to be wished. To die, to sleep - To sleep - perchance to dream: ay, there's the rub, For in that sleep of death what dreams may come When we have shuffled off this mortal coil, Must give us pause. There's the respect That makes calamity of so long life. For who would bear the whips and scorns of time, Th' oppressor's wrong, the proud man's contumely The pangs of despised love, the law's delay, The insolence of office, and the spurns That patient merit of th' unworthy takes, When he himself might his quietus make With a bare bodkin? Who would fardels bear, To grunt and sweat under a weary life, But that the dread of something after death, The undiscovered country, from whose bourn No traveller returns, puzzles the will, And makes us rather bear those ills we have Than fly to others that we know not of? Thus conscience does make cowards of us all, And thus the native hue of resolution Is sicklied o'er with the pale cast of thought, And enterprise of great pitch and moment With this regard their currents turn awry And lose the name of action. - Soft you now, The fair Ophelia! - Nymph, in thy orisons Be all my sins remembered. |


Golden Eagle Laundry
Welcome to a new simple fast solution for your everyday laundry needs.
Students who appreciate your Student-needs!
What we're about ?
Clean and hygienic clothes are always a need in this busy world. Being full time students, We understand what students and faculty members face when it comes to the laundry work. Most of the day we spend in campus and are unable to carry out household chores.Professional people as well as students find it hard to focus on their work.
We, the students of Northeastern Illinois University introduce Golden eagle laundry that can simplify your life and make it easy for you to focus on the studies and work by offering a complimentary pick up and delivery service through our website that allows you to get on with your day and not worry about the hassles of dropping off and picking up your laundry.
Why choose us...
- Guaranteed Proper Laundry & Dry Cleaning Services
- Excellent Quality Control and Customer Care
- Suitable and Unique Packing Materials
- Competitive Price
- Save time and money both in just one deal!
Get in Touch
Please fill out the quick form and the Eagles will be at your service.
Connect with us:
For support or any questions:
Email us at<EMAIL_ADDRESS>Eric Nunez
Email<EMAIL_ADDRESS>phone: +1(773) 987-2498
Mustafa Khan
Email<EMAIL_ADDRESS>phone: +1(872) 806-6288
AbuIsha
<EMAIL_ADDRESS>phone: +(312) 543-8040
Golden eagle laundry considers quality wash in as little as no time. We use latest equipments and up to date machinery for your utmost satisfaction. We guarantee and value your precious time and needs.


Results-oriented marketing & sales specialist with over 5 years of experience. Proven success in running e-mail campaigns and product launches that have pulled in 300% sales increase in premium products. Proficient in marketing analytics, social media & copywriting. Skilled, innovative & creative.
72 Credits


Custom management commands¶
increment_version¶
Sets the version numbers (major and minor) in the version.json
file. Used when finalizing a release branch.
export_tagging¶
Exports tagging data in the format that has been distributed to collaborators.
fill_fields¶
Saves a field to the HarmonizedTrait
model that includes the component trait information in formatted html for display on the HarmonizedTraitDetail
page.
import_db¶
Copies phenotype metadata (both study phenotypes and harmonized phenotypes) from the DCC’s phenotype harmonization database to the PIE backend database.


data mess; set dm ae2 sv; a = 3.14 b = 5; f = power(1; g = left(trimn(put(round(3.14), best13.4)); c = .12345; d = ; /* multiline parsed correctly, but Ace tokenize line-by-line */ s = ' data abc; set a b c; set d; ss = '' data aabbcc; set aa bb cc; run; ''; run; '; /* keywords as identifiers */ if = 1; and = 0; if if eq and and and eq if then put 'if = and'; else put 'if ^= and'; data = "data as a variable name"; run; proc sort data=ae2; by usubjid aestdtc aeendtc; run; foo DATA cldata; INPUT sid excerpt $60.; DATALINES4; 1 Clinical graph,; 2050 2 SAS/GRAPH ODS HTML., 2021; EG, 2019 3 SAS Studio, 2020; Base SAS, 2050; SAS/ACCESS, 3050 2 SAS/GRAPH ;;;; RUN;


nips nips2008 nips2008-154 nips2008-154-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Alan S. Willsky, Erik B. Sudderth, Michael I. Jordan, Emily B. Fox
Abstract: Many nonlinear dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switching linear dynamical system (SLDS) and the switching vector autoregressive (VAR) process. Our nonparametric Bayesian approach utilizes a hierarchical Dirichlet process prior to learn an unknown number of persistent, smooth dynamical modes. We develop a sampling algorithm that combines a truncated approximation to the Dirichlet process with efﬁcient joint sampling of the mode and state sequences. The utility and ﬂexibility of our model are demonstrated on synthetic data, sequences of dancing honey bees, and the IBOVESPA stock index.
[1] M. Aoki and A. Havenner. State space modeling of multiple time series. Econ. Rev., 10(1):1–59, 1991.
[2] M. J. Beal, Z. Ghahramani, and C. E. Rasmussen. The inﬁnite hidden Markov model. In NIPS, 2002.
[3] F. Caron, M. Davy, A. Doucet, E. Duﬂos, and P. Vanheeghe. Bayesian inference for dynamic models with Dirichlet process mixtures. In Int. Conf. Inf. Fusion, July 2006.
[4] C. Carvalho and H. Lopes. Simulation-based sequential analysis of Markov switching stochastic volatility models. Comp. Stat. & Data Anal., 2006.
[5] E. B. Fox, E. B. Sudderth, M. I. Jordan, and A. S. Willsky. An HDP-HMM for systems with state persistence. In ICML, 2008.
[6] E. B. Fox, E. B. Sudderth, and A. S. Willsky. Hierarchical Dirichlet processes for tracking maneuvering targets. In Int. Conf. Inf. Fusion, July 2007.
[7] H. Ishwaran and M. Zarepour. Exact and approximate sum–representations for the Dirichlet process. Can. J. Stat., 30:269–283, 2002.
[8] S. Oh, J. Rehg, T. Balch, and F. Dellaert. Learning and inferring motion patterns using parametric segmental switching linear dynamic systems. IJCV, 77(1–3):103–124, 2008.
[9] J. M. Pavlovi´ , V. Rehg and J. MacCormick. Learning switching linear models of human motion. In c NIPS, 2000.
[10] X. Rong Li and V. Jilkov. Survey of maneuvering target tracking. Part V: Multiple-model methods. IEEE Trans. Aerosp. Electron. Syst., 41(4):1255–1321, 2005.
[11] J. Sethuraman. A constructive deﬁnition of Dirichlet priors. Stat. Sinica, 4:639–650, 1994.
[12] Y. W. Teh, M. I. Jordan, M. J. Beal, and D. M. Blei. Hierarchical Dirichlet processes. J. Amer. Stat. Assoc., 101(476):1566–1581, 2006.
[13] M. West and J. Harrison. Bayesian Forecasting and Dynamic Models. Springer, 1997.
[14] X. Xuan and K. Murphy. Modeling changing dependency structure in multivariate time series. In ICML, 2007.


{% extends 'base.html' %} {% load thumbnail %} {% block title %}References{% endblock title%} {% block content %}
The company, founded in 2008, is comparatively young, but the people have more than 25 years of experience within the industry. We have worked on prominent project before and after the founding of this company.
{% for list in references %}{{ project.place }}
{{ project.get_constructionType_display }}
{{ project.description }}
No images
{% endif %}Personal references from before the founding of Danish Decoration.
| Ship | Owner | Year |
|---|---|---|
| {{ project.ship }} | {{ project.owner }} | {{ project.year }} |


On clicking "Record clap times" two beats in a set interval will play. Press "j" or click the button of "#claps" to that interval till whenever and click "stop" to plot the graphs (last click/tap excluded).
Additionally download the clap-times array after stopping.
#claps =


Class: DropboxApi::Endpoints::RpcContent
- Defined in:
- lib/dropbox_api/endpoints/rpc_content.rb
Direct Known Subclasses
Instance Method Summary collapse
Methods inherited from Rpc
Methods inherited from Base
Constructor Details
This class inherits a constructor from DropboxApi::Endpoints::Base
Instance Method Details
#build_connection ⇒ Object
4 5 6 7 8 |
# File 'lib/dropbox_api/endpoints/rpc_content.rb', line 4 def build_connection @connection = @builder.build('https://content.dropboxapi.com') do |c| c.response :decode_result end end |


This is a survey application created using
django framework.
In this app, users can participate in surveys created by the administrator.
Each survey consists of a short questionnaire. At the same time fun.
Each participation in the survey is recorded and the admin can track the number of participation for each survey
and will be notified of the top survey with highest participation.
Also, can see the stats for each question in a survey with bar chart visualizations rendered using
Chartjs.


What is Cloud Computing?
When the needs of a company changes, the company’s software, hardware, and information resources needs will also change. A company might need to scale-up and use a faster computing system with a larger database. On the other hand, a company may need to scale-down and use a simpler system.
With the traditional on-premise IT infrastructure, it is hard for a business to scale-up or down. A company that needs to scale-up will need to upgrade its IT Infrastructure, which takes time and money. In contrast, scaling-down means not being able to use their IT Infrastructure optimally and paying for unused resources.
Cloud computing allows companies to simply connect and use resources stored in virtual data centers via the internet. The companies will only have to pay to use these resources at a pay per use basis. This on-demand system saves companies time and money, and makes it very easy for a company to scale-up or down.
Three Deployment Models of Cloud Computing
Private Cloud
In a Private Cloud, the cloud server is only managed by one company and maintained in a private network. It is highly secure and is best for companies that handle sensitive data like the government. The server can be stored on-premise or hosted, but is commonly stored on-premises in the company’s data center. Private cloud providers include IBM Cloud Private and Liquid Web. A company has to pay for maintenance costs only for on-premise Private Cloud and not on a hosted Private Cloud. An on-premise Private Cloud can be compared to a traditional on-premise IT infrastructure, where these two terms differ is that the former is a deployment model and the latter refers to the location of the server.
Public cloud
A Public Cloud means that the cloud infrastructure is made available to the general public and is owned by cloud service providers like AWS and Azure. This is the most commonly used cloud deployment model. It is off-site and a server may be shared between multiple companies, also called multi-tenancy.  Most businesses use this.
Hybrid cloud
Hybrid Cloud uses both private and public clouds. Companies may use services from multiple cloud providers and this is called multi cloud, but many cloud providers also provide the hybrid cloud service. It is efficient because companies can choose which cloud to store their resources in depending the type of resource.
Three Cloud Computing Service Models (Pyramid Form)
Infrastructure as a Service (IaaS)
In an IaaS, the company has entire control over the IT infrastructure, including the application, data, runtime, and middleware. Target users are system administrators and network architects. The company has no control over the virtual environment where the operating system runs in. Examples of IaaS are AWS EC2 and S3.
- Pros: Cloud provides Infrastructure, enhanced scalability.
- Cons: Security issues, network delays, needs staff to maintain the infrastructure.
Platform as a Service (PaaS)
For Paas, the development environment, operating system, web server, and database is provided by the vendor. This means that developers can build, compile, and run their programs without worrying about the underlying infrastructure. Examples of Paas are Red Hat, AWS Elastic Beanstalk, and Heroku.
- Pros: Cost effective and scalable, faster market for developers, easy deployment of web applications.
- Cons: Developers limited to providers’ language and tools, migration issues.
Software as a Service (SaaS)
SaaS is ready to use application that is accessible in the browser via the internet. The target users are the average end user of a web application like you and me. With SaaS, there is no need to install a software on PC, and one software is available for use by multiple users. Examples of SaaS includes Gmail, Google Docs, and Salesforce.
- Pros: Universally available.
- Cons: Internet and browser issues.
Top Cloud Providers
- AWS: Focuses on mainly on IaaS (EC2, S3) but has PaaS (Elastic Beanstalk).
- Microsoft Azure: Focuses on AI, analytics, and IoT, Azure Compute and offers services in the category of IaaS (Azure Virtual Machines) and PaaS (Azure App Service - Windows Based). PaaS caters toward Windows-based development.
- Google Cloud: Offers similar services to Azure, including Iaas (Google Compute Engine) and PaaS (Google App Engine). PaaS caters toward Linux-based development.
Resources
Cloud Computing: What is Cloud Computing?
Cloud Computing in the Year 2020
Cloud Computing Services Models - IaaS PaaS SaaS Explained
IaaS vs. PaaS options on AWS, Azure and Google Cloud Platform
Images
Private Cloud vs Public Cloud
Differences between IaaS, PaaS, and SaaS


Overview User interface Main window Menu ↑ |
Copies basic information of a structure (including all coordinates) and creates a new structure from it. The new structure is made the current structure. The user is asked to supply a structure tag. Use this together with colorscheme difference
to visualize structural changes during model building.
Replaces non-standard residues such as selenocysteine or selenomethionine as well as spin-labels by their native amino acid equivalents (cysteine or methionine). A window appears where the user can select residue types to be replaced. Only the first location is kept (leading rotamer in case of spin labels). This will hide replaced residues in the 3D plot (if they were displayed before). The user needs to redisplay them if required.
Repairs missing sidechains using the external freeware program SCWRL4. The license for SCWRL4 must be obtained by the user and SCWRL4 must have been installed by the user and must be on the Matlab path. At least the backbone atoms must exist. The residues are no longer marked as incomplete in the sequence display of the hierarchy window, but the annotation with keyword "missing atoms" for the residues is kept.
Adds or repacks sidechains using the external freeware program SCWRL4. The license for SCWRL4 must be obtained by the user and SCWRL4 must have been installed by the user and must be on the Matlab path.
This requires that DSSP was installed at the time when the original PDB file was read in or a model was created. Furthermore, secondary structure assignement is protected. You first need to unprotect it by click the lock toolbutton or issuing the unlock command. Helices and strands in the current structure are reassigned based on DSSP information. Don't forget to lock secondary structure afterwards.
When the structure is rotated in the 3D model window or panel, atom coordinates are unchanged. Only the viewing direction is changed. In some cases it is useful to actually transform the structure to a coordinate frame that coincides with the viewing frame. By using the subitems x along viewing vector
, y along viewing vector
, and z along viewing vector
you can transform the structure so that any of the Cartesian frame axes is along the viewing direction. For x and y, the z axis is chosen as the camera up vector, i.e. as the upright direction on your screen. For z as the viewing direction, the y axis is chosen as the camera up vector.
In a model with several structures, this transformation is applied to all structures.
Definition of a lipid bilayer (membrane) with the membrane normal being the current z axis. Use the Symmetry axis or Assign TM helices and strands subitem of the Edit
menu for conversion to such a frame.
Bilayer definition involves manual specification or automatic fitting of the central plane of the bilayer and of its width. Fitting is based on lipid propensities of residues.
Note that structures with bilayers require that the bilayer normal is the z axis of the coordinate frame. Any subsequent coordinate transformation of the structure will make the bilayer invalid.
This feature requires installation of M. F. Sanner's MSMS program (see third-party software). A probe radius (effective solvent molecule radius) of 1.5 Å is assumed.
If no objects are selected, the solvent accessible surface is computed for the current structure. Resolution adapts to the number of atoms (usually 1 vertex/ Å2 for large structures, but can be up to 3 vertices/ Å2 for smaller structures). In structures with several coordinate sets, only the first set is used (sorry).
Partial surfaces can also be computed for a chain (by default first coordinate set), for a selected coordinate set of a chain, and for a residue. Resolution adapts to the number of atoms. For these computations a single object has to be selected. Strictly speaking, these surfaces are not fully solvent accessible, as parts of them may be blocked by other residues, chains, or cofactors. They are, however, of interest for visualizations and are therefore provided.
A window appears for input of a tag for the computed surface. This tag is used later to access the surface and the underlying data. A default tag is suggested, but you can choose freely, as long as the new tag is not yet used for another surface.
The solvent accessible surface (SAS) is displayed immediately after computation as a semi-transparent aquamarine cloud. it can be hidden (and redisplayed without computation) via the graphics mode toolbutton. Note that some object must be selected to use this button.
The SAS is also assigned an address $SAS:tag
, where tag is the tag provide above. The surface is known by this address to the show, hide, color, and transparency commands, which affect only the visualization, but not the underlying data. By using the delete command, both the surface and the underlying data can be deleted.
Examples:
color $SAS:SAS_1 aliceblue
% changes color of the surface with tag SAS_1 to a very pale blue
hide $SAS:SAS_1
% hides the surface with tag SAS_1
show $SAS:SAS_1
% redisplays the surface with tag SAS_1 after being hidden, this is fast, no recomputation required
delete $SAS:SAS_1
% deletes the surface with tag SAS_1 and the underlying data
Note that MMM may have to recompute the surface for other tasks, if you delete it instead of only hiding it
Fit a structural model from distance constraints and a template structure by using either an elastic network model and a variation of the Zheng/Brooks algorithm (W. J. Zheng, B. R. Brooks, Biophys. J. 2006, 90, 4327-4336.) or Modeller.
This opens either the Fit from template/ENM window or the Fit from template/Modeller window.
Another menu subitem allows for refinement of Modeller-generated structure ensembles.
With the domain ensemble window peptide chain segments can be modelled that are not resolved in a crystal structure. The Monte Carlo modeller supports N-terminal, C-terminal and inserted loops and allows for label-to-label distance distribution restraints, bilayer insertion depth restraints, and secondary structure restraints. Special handling is provided for distance distribution restraints stemming from homooligomers in which all protomers are singly labeled at the same site.


Previous Work Experience
Product Development Associate
MDxHealth
Dec. 2015 - Nov. 2017
- Began at MDxHealth as laboratory technician
- Transfer to Product Development after 1 year
Responsibilities
(order of priority):
- Automate newly developed assays using the Hamilton STAR liquid handling platform.
- Develop and iterate upon assays to ensure effective scaling with patient load
- Ensure consistent and thorough documentation of tests and experiments in a laboratory notebook
- Research alternative materials and test effectiveness in assays
- Clean and maintain automation equipment and laboratory space
MDxHealth Website
Education
B.S. Ecology and Evolutionary Biology
University of California - Los Angeles
2011 - 2015
Major Acheivements:
- Completed EMT certification and acted as Safety Officer on intermural sports team
- Co-planned intermural sports tournament on school grounds
- Established the League of Legends at UCLA club and acted as President during founding year (2012)
- Founding Father of the Phi Delta Theta chapter at UCLA (Cal Gamma)
- Worked in Adaptive Recreation office as assistant (2013-2015).
Responsibilities included:
- Maintaining scheduling and enrollment status of students participating in programs.
- Work with external company for summer program: Summer Discovery on scheduling, reserving spaces and occasionally substituting for instructors
Activities:
- Participation in the UCLA Quidditch team (2011-15)
- Member of Phi Delta Theta men's fraternity


{%extends 'base.html'%} {%import "bootstrap/wtf.html" as wtf%} {%block content%}
Our community talks about mental health with compassion and without judgment.
{%for quo in quote%}{{quo.quote}}
~~{{quo.author}}~~ {%endfor%}I’m not currently in therapy, but I think if I was, a therapist would help me work through my dangerous habit of over-saying “I’m fine.” Sure, it’s an OK response in the checkout line of a grocery store. It’s also valid in large settings or groups where we don’t feel comfortable letting our walls down. But I tend slather it all over one-on-one conversations with people I care about, as well as during doctor’s appointments where I’m the direct opposite of decent.
What about you? If you’re comfortable, feel free to use the comments section of this post to say how you truly are and let it be a small step in the right direction of healing.
{{comment.username}} commented on {{comment.posted}}
{{comment.comment}}


The modal directive and service allow you to launch modals in a consistent way in SKY UX applications. The SkyModalService
provider lauches the modals, while the sky-modal
directive provides a common look-and-feel for modal content. Within the sky-modal
directive, you have options to display a common modal header, specify the body content, and display a common modal footer and buttons. The SkyModalInstance
class allows you to close the modal and return data from the launched modal.
config
parameter is an object literal to be passed to the component's constructor.This method returns the modal instance.
config
with a default of false. When set to true, the modal will become full screen.
providers
This can be used to pass context values from the component launching the modal to the modal component.
small
,
medium
, and large
.
aria-labelledby
attribute for the modal dialog for accessibility support. The value should be an id (without the leading #
) pointing to the element that labels your modal. Typically, this will be a header element. If not provided, this will default to the content of the sky-modal-header
component.
aria-describedby
attribute for the modal dialog for accessibility support. The value should be an id (without the leading #
) pointing to the element that describes your modal. Typically, this will be the text on your modal, but does not include something the user would interact with, like buttons or a form. If not provided, this will default to the content of the sky-modal-content
component.
reason=save
. The optional result
parameter specifies an object that will be emitted to subscribers of the closed
event of the modal instance. The SkyModalInstance
provider can be injected into a component's constructor so that this save
function can be called from a button in the sky-modal-footer
.
reason=cancel
. The optional result
parameter specifies an object that will be emitted to subscribers of the closed
event of the modal instance. The SkyModalInstance
provider can be injected into a component's constructor so that this close
function can be called from a button in the sky-modal-footer
.
result
parameter specifies an object that will be emitted to subscribers of the closed
event of the modal instance. The optional reason
parameter specifies a string indicatinng the reason for the modal closing. The SkyModalInstance
provider can be injected into a component's constructor so that this close
function can be called from a button in the sky-modal-footer
.
SkyCloseModalArgs
object that has a data
property with data passed from the user on close or save and a reason
property which indicates whether the modal was saved or closed without saving.


I'm having some trouble getting the emoncms input api to work correctly and suspect some changes have broken something along the way.
Around a year ago for v8.3.5, I submitted a change to allow values to be omitted so that individual inputs could be updated using the bulk api. for example if a node has 5 inputs and you only want to update 2 and 4 submitting a data string of "null,123,null.123,null" would update 2 and 4 to "123" while 1,3 and 5 would not be updated, this was obvious to confirm as the "last updated" column on the inputs page would not be refreshed and it was very common to see a range of times in green and orange for any node updated this way.
This no longer works! and I'm unsure why, the code changes I made are still present through to v9.x and as far as I'm aware emoncms.org hasn't been updated (other than dash and viz parts)
So far only tested on emoncms.org as I don't currently have a local instance to test it on.
Could someone try this url out on a local install (by replacing the .org url with local url and please change node id if 31 is in use)
http://emoncms.org/input/bulk.json?data=[[0,31,1,null,3,null,5]]&sentat=time()
it should (and previously did) result in node 31 input 1,3 &5, being updated to 1,3 & 5 respectively (if logged in add "&apikey=abc123etc" otherwise), each time it is refreshed the "last updated" for 1,3&5 should get renewed while 2 and 4 should just get longer/older.
Maybe a emoncms or php dev could shed some light on the issue?
I have tried all the possible keywords (null nan none etc in lower, upper and camel case) but I was aware previously only "null" would work (without quotes) eg
null
false
""
"null"
"nan"
" " (changes in browser bar to "%20")
"None"
AND "SomeBogusText" !!!!
all result in the absent values being updated as 0 and
nan
Null
Nan
NULL
NAN
None
all prevent any of the inputs being updated at all.
I have found this Best practise for bulk upload thread that confirms it was working in April but not in September.
Any help or thoughts welcome.
Paul
Re: emoncms input api issue
Can anyone who has used the selectable input api (or been unable to) confirm if/when it worked, please ?
It would also be really appreciated if some helpful soul(s) could just try it locally to help me narrow the search. It will create one input which can be easily deleted again.
I would rather not have to install emoncms just now to test one url and find it works on local installs and just not emoncms.org since it is a customized version which (obviously) I cannot access for debugging.
Normally I would suspect it didn't survive the V8.5+ and ongoing changes, but since emoncms.org is running a version that pre-dates all those changes it seems unlikely.
Paul
Re: emoncms input api issue
It doesn't seem to like 'nan'!
Error: Format error, json string supplied is not valid
If I replace nan with null that works, and I get 1 input node with 3 keys - 1,3 & 5.
Paul
Raspberry Pi v2, Wheezy, emoncms v9.1 - 2015. 11. 02
Re: emoncms input api issue
Ooops! My apologies, confused myself when writing out the test url, "nan" shouldn't and never did work (see lists) that should be "null" not "nan". Thanks for trying it, would it be too much to ask you to try again using
"http://emoncms.org/input/bulk.json?data=[[0,31,1,null,3,null,5]]&sentat=time()"
edited to fit as per the first time?
Paul
ps i've now fixed the original
EDIT - Cheers Paul - just seen your edit after my edit that is the expected output AND if you haven't deleted it yet could you try same url but repalce one more value with another "null" and see if that input retains the older "updated at" entry?
Re: emoncms input api issue
See previous post (which I edited a few moments ago)
Re: emoncms input api issue
Cheers Paul sorry for the post clashing, I was about to walk out the front door when I saw your post so I was rushing a bit. did you see my last edit? if it's not too late.
Paul
Re: emoncms input api issue
for example
"http://emoncms.org/input/bulk.json?data=[[0,31,11,null,null,null,55]]&sentat=time()"
should update 1 and 5 to "11" and "55"while 3's value should remain at "3" and the "updated at" column should be orange and say n Minutes while 1 & 5 go green and say n Seconds.
This is good news it looks like a "emoncms.org" only issue :-)
I will suggest an addition to the api help page to include this since Chaverio has kindly updated it so users are aware of it.
Anyway thanks again, must dash !!
Paul
Re: emoncms input api issue
It does not create 2 & 4, as you probably expect.
but if I post - data=[[0,31,1,2,3,4,5]]&sentat=time()
and then a few moments later - data=[[0,31,1,null,3,null,5]]&sentat=time()
I get;
So yes you are correct.
Paul
Re: emoncms input api issue
Many thanks Paul! That's good news.
Hopefully Trystan can pick this up and take a look at emoncms.org.
Paul


Please click the button below to generate material
Generate
Clear
Based on the game Cards Against Humanity.


Correspondence
Monthly briefing for further education colleges and training organisations.
Ref: BIS/12/P141G PDF , 75.6KB , 6 pages
Seventh briefing for further education colleges and training organisations on 24+ advanced learning loans. It was produced jointly with the Skills Funding Agency, the Student Loans Company ( SLC ) and HM Revenue & Customs ( HMRC ). Briefings are published every month alongside the further education and skills e-newsletter.
Earlier briefings, along with other loans information for colleges and training organisations are available: funding system for further education: 24+ advanced learning loans .
Published: 11 December 2012


Hi, am Karl
web dev &||& sys admin
Hello
I am an fast tracking web and software developer from Nairobi, Kenya. Administering systems is my other forte.
Check out this drum-kit
project on my GitHub.
web dev &||& sys admin
I am an fast tracking web and software developer from Nairobi, Kenya. Administering systems is my other forte.
Check out this drum-kit
project on my GitHub.
© 2019 Karl Mash.


GitHub
## Welcome to: Introduction to Git ### What you need to know about Git: **Gitflow Workflow:** a branching method developed by Vincent Driessen; new changes are made in the feature branches which are branched off the Develop Branch. The release branch is then created off of the develop branch signaling it is ready for release. ![gitflow](https://miro.medium.com/max/1200/1*L0jHGLTJwZO5CTtpsn-dKA.png) **Repository:** a folder or project in which all project files and version histories are saved. **Clone:** downloading a copy of an existing repository project's source code from the source control **Fork:** copying an exisiting repository (either your own or someone else's) ![forking](https://www.google.com/url?sa=i&source=images&cd=&ved=2ahUKEwiY24DhwrnlAhUPmuAKHaA4DPIQjRx6BAgBEAQ&url=https%3A%2F%2Fgithub.com%2Foppia%2Foppia%2Fwiki%2FWhy-fork-and-clone-Oppia%253F&psig=AOvVaw3InRHxOPvm2H59ZDZHkLFm&ust=1572165427042280) **Branch:** a parallel version of a repository that does not affect the primary branch so it does not affect the live version. **Commit:** a change to a file or set of files in a repository that names each Save a unique ID to help identify what changes were made to the file. **Merge:** merging combines two files from a repository or branch and combines them to create a joint file. ![merge image](https://help.github.com/assets/images/help/pull_requests/standard-merge-commit-diagram.png) **Checkout:** switches between the current entity you are on with another entity (branch, file, commit, etc) **Push:** sending your committed changes to a remote repository so that other people can access it. ![push/pull image](https://i2.wp.com/qavalidation.com/wp-content/uploads/2018/07/Git-PUSH-pULL.png?fit=1280%2C720) **Pull:** when you fetch changes from someone working on a file that you want to merge with your file so that it updates your file with other remotely-done changes. **Remote Add / Remove / Show:** adds, removes, or shows changes made to a remote file used by collaboraters; where your files and repositories are stored on Git's servers so that you and collaborators can access them. **Status:** brings up a summary of which files have changes that are prepared for the commits **Master Branch:** the first main branch that is created in your repository and where all original commits are made
Linux
Linux intro here


**Expressive Vector Engine** Mathematical Constants (insert ../../crumbs.html here) Those constants provides generator function for some useful mathematical constants. Synopsis ==================================================================================================== All constant are implemented as callable object taking a [type specifier](../types/helpers.html#eve::as_) as argument. Each constant is available by including the header file `eve/constant/name.hpp`, where `name` is the constant name. **Example:** **Output:** List of constants ==================================================================================================== $$\newcommand{\choose}[4]{\left\{ \begin{array}{@{}ll@{}} #1 & \texttt{if E is } \texttt{#2}\ \\ #3 & \texttt{if E is } \texttt{#4} \end{array}\right.}$$ $$\newcommand{\choosefd}[2]{\left\{ \begin{array}{@{}ll@{}} #1 & \texttt{if E is float } \\ #2 & \texttt{if E is double} \end{array}\right.}$$ $$\newcommand{\tchoosefd}[2]{ \choosefd{\texttt{#1}}{\texttt{#2}}}$$ $$\newcommand{\choosefdi}[3]{\left\{ \begin{array}{@{}ll@{}} #1 & \texttt{if E is float } \\ #2 & \texttt{if E is double} \\ #3 & \texttt{if E is integral} \end{array}\right.}$$ In the following table: * `T` represents the requested type for the generated constant. * `E` represents the [element type](../../glossary.html#elementtype#elementtype) associated to `T` * `I` represents the integral type associated to `T` Description | Callable object | Value | Constraints on `T` | :-----------------------|:-----------------------|:---------------------------------|:-------------------| $1/\pi$ | `eve::invpi` | T(0.318309886183791) | `value` | $1/(2\epsilon)$ | `eve::oneotwoeps` | $$\tchoosefd{4194304.0f}{2251799813685248.0}$$ | `floating_value` | ${\pi}$ | `eve::pi` | T(3.141592653589793e+00) | `floating_value` | $\pi/2$ | `eve::pio_2` | T(1.570796326794897e+00) | `floating_value` | $\pi/4$ | `eve::pio_4` | T(7.071067811865476e-01) | `floating_value` | $\sqrt2$ | `eve::sqrt_2` | T(1.414213562373095e+00) | `floating_value` | $1/{\sqrt2}$ | `eve::invsqrt_2` | T(7.071067811865476e-01) | `floating_value` | $1/{\log10}$ | `eve::invlog10` | T(0.434294481903252) | `floating_value` | $1/{\log_{10}(2)}$ | `eve::invlog10_2` | T(3.32192809488736 ) | `floating_value` | $\log2$ | `eve::log_2` | T(0.693147180559945) | `floating_value` | $2\pi$ | `eve::twopi` | T(6.283185307179586) | `floating_value` | $2/\pi$ | `eve::twoopi` | T(6.366197723675814e-01) | `floating_value` | ----------------------------------------------------------------------------------------------------