public class Symbolic
extends java.lang.Object
| Modifier and Type | Class and Description |
|---|---|
static class |
Symbolic.Debug
Debugging helpers for interaction with the Java Symbolic Simulator
|
| Constructor and Description |
|---|
Symbolic() |
| Modifier and Type | Method and Description |
|---|---|
static byte[] |
evalAig(byte[] outs,
CValue[] opds)
Evaluate the simulation AIG at byte outputs
outs
with concrete inputs given via the opds array. |
static byte |
evalAig(byte out,
CValue[] opds)
Evaluate the simulation AIG at the byte output
out
with concrete inputs given by the opds array. |
static int[] |
evalAig(int[] outs,
CValue[] opds)
Evaluate the simulation AIG at int outputs
outs
with concrete inputs given via the opds array. |
static int |
evalAig(int out,
CValue[] opds)
Evaluate the simulation AIG at the int output
out
with concrete inputs given by the opds array. |
static long[] |
evalAig(long[] outs,
CValue[] opds)
Evaluate the simulation AIG at long outputs
outs
with concrete inputs given via the opds array. |
static long |
evalAig(long out,
CValue[] opds)
Evaluate the simulation AIG at the long output
out
with concrete inputs given by the opds array. |
static boolean |
freshBoolean(boolean dflt)
Provides a new symbolic boolean term to the caller.
|
static byte |
freshByte(byte dflt)
Provides a new symbolic byte term to the caller.
|
static byte[] |
freshByteArray(int sz)
Provides a new array of symbolic byte terms, of the specified
length.
|
static int |
freshInt(int dflt)
Provides a new symbolic int term to the caller.
|
static int[] |
freshIntArray(int sz)
Provides a new array of symbolic int terms, of the specified
length.
|
static long |
freshLong(long dflt)
Provides a new symbolic long term to the caller.
|
static long[] |
freshLongArray(int sz)
Provides a new array of symbolic long terms, of the specified
length.
|
static void |
writeAiger(java.lang.String fname,
boolean out)
Write the AIG with the given boolean output to the named file.
|
static void |
writeAiger(java.lang.String fname,
byte out)
Write the AIG with the given byte output to the named file.
|
static void |
writeAiger(java.lang.String fname,
byte[] outs)
Write the AIG with the given byte outputs to the named file.
|
static void |
writeAiger(java.lang.String fname,
int out)
Write the AIG with the given int output to the named file.
|
static void |
writeAiger(java.lang.String fname,
int[] outs)
Write the AIG with the given int outputs to the named file.
|
static void |
writeAiger(java.lang.String fname,
long out)
Write the AIG with the given long output to the named file.
|
static void |
writeAiger(java.lang.String fname,
long[] outs)
Write the AIG with the given long outputs to the named file.
|
static void |
writeCnf(java.lang.String fname,
boolean out)
Write a CNF encoding of the given boolean to the named file
such that an "unsatisfiable" result indicates that the boolean
is always true.
|
public static byte freshByte(byte dflt)
dflt
- the default value to use for concrete executionpublic static int freshInt(int dflt)
dflt
- the default value to use for concrete executionpublic static long freshLong(long dflt)
dflt
- the default value to use for concrete executionpublic static boolean freshBoolean(boolean dflt)
dflt
- the default value to use for concrete executionpublic static byte[] freshByteArray(int sz)
null
.sz
- the number of elements in the new symbolic arraypublic static int[] freshIntArray(int sz)
null
.sz
- the number of elements in the new symbolic arraypublic static long[] freshLongArray(int sz)
null
.sz
- the number of elements in the new symbolic arraypublic static byte evalAig(byte out, CValue[] opds) throws java.lang.Exception
out
with concrete inputs given by the opds
array. When
invoked in a standard JVM, throws an exception.java.lang.Exception
public static int evalAig(int out, CValue[] opds) throws java.lang.Exception
out
with concrete inputs given by the opds
array. When
invoked in a standard JVM, throws an exception.java.lang.Exception
public static long evalAig(long out, CValue[] opds) throws java.lang.Exception
out
with concrete inputs given by the opds
array. When
invoked in a standard JVM, throws an exception.java.lang.Exception
public static byte[] evalAig(byte[] outs, CValue[] opds) throws java.lang.Exception
outs
with concrete inputs given via the opds
array. When
invoked in a standard JVM, throws an exception.java.lang.Exception
public static int[] evalAig(int[] outs, CValue[] opds) throws java.lang.Exception
outs
with concrete inputs given via the opds
array. When
invoked in a standard JVM, throws an exception.java.lang.Exception
public static long[] evalAig(long[] outs, CValue[] opds) throws java.lang.Exception
outs
with concrete inputs given via the opds
array. When
invoked in a standard JVM, throws an exception.java.lang.Exception
public static void writeAiger(java.lang.String fname, boolean out)
fname
- the file name to store the AIG dataout
- the variable to symbolically represent as an AIG filepublic static void writeAiger(java.lang.String fname, byte out)
fname
- the file name to store the AIG dataout
- the variable to symbolically represent as an AIG filepublic static void writeAiger(java.lang.String fname, int out)
fname
- the file name to store the AIG dataout
- the variable to symbolically represent as an AIG filepublic static void writeAiger(java.lang.String fname, long out)
fname
- the file name to store the AIG dataout
- the variable to symbolically represent as an AIG filepublic static void writeAiger(java.lang.String fname, byte[] outs)
fname
- the file name to store the AIG dataouts
- the variables to symbolically represent as an AIG filepublic static void writeAiger(java.lang.String fname, int[] outs)
fname
- the file name to store the AIG dataouts
- the variables to symbolically represent as an AIG filepublic static void writeAiger(java.lang.String fname, long[] outs)
fname
- the file name to store the AIG dataouts
- the variables to symbolically represent as an AIG filepublic static void writeCnf(java.lang.String fname, boolean out)
fname
- the file name to store the CNF dataout
- the variable to symbolically represent as a CNF file


HARRIET THE SPY A film review by Michael John Legeros Copyright 1996 Michael John Legeros
(Paramount) Directed by Bronwen Hughes Written by Theresa Rebeck and Douglas Petrie, based on the novel by Louise Fitzhugh Cast Michelle Trachtenberg, Vanessa Lee Chester, Gregory Smith, Charlotte Sullivan, Robert Joy, J. Smith-Cameron, Rosie O'Donnell MPAA Rating "PG" Running Time 101 minutes Reviewed at The Carmike 7, Raleigh, NC (10JUL96)
==
Nickelodeon's first foray into feature filmmaking is an overlong kiddie drama that stars Michelle Trachtenberg as a precocious sixth- grader and self-proclaimed spy. Her afternoons are spent sneaking around and spying on people. She writes down everything she sees in a private notebook, which later falls into the hands of her classmates with predictably disastrous results. The story, adapted from the classic children's book by Louise Fitzhugh, plays like a pre-teen version of WELCOME TO THE DOLLHOUSE. They act cruel, she acts crueler, and then everyone goes off to apologize and live happily ever after. Unlike Dawn Weiner, the central character from DOLLHOUSE, Harriet also gets to exact revenge on her classmates. However, this being a movie intended for kids, she must be taught a lesson and doesn't get to savor the pleasures of being mean. Too bad she can't get back at her busy parents, who have long-since delegated the responsibility of raising her to a live-in nanny. Now *that* could be considered cruel.
Grade: C+
--
Mike Legeros - Raleigh, NC
<EMAIL_ADDRESS>(h) -<EMAIL_ADDRESS>(w)
Visit me in MOVIE HELL
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Investigation after body found in County Durham Tesco car park
Police say the man's death is not believed to be suspicious after midday discovery at Seaham supermarket on Monday
by Kieran MurrayA man has been found dead in a supermarket car park.
Police were called to the Tesco Express store, in Seaham, County Durham, at around 12.15pm today.
They found the man inside his car parked outside the supermarket, on Stockton Road.
Paramedics also attended, but the man was pronounced dead at the scene.
Police say the death is not being treated as suspicious.
A Durham Constabulary spokesman said: "Officers were called at around 12.15pm this afternoon to Tesco Express in Seaham following concerns for the welfare of a man who was found in his vehicle at the rear of the store.
"Paramedics also attended but the man was sadly pronounced dead at the scene.
"His death is not believed to be suspicious and a file is being prepared for the coroner."


‘DemografixeR’ allows to estimate gender, age & nationality from a name. The package is an API wrapper of all 3 ‘Demografix’ API’s - all three APIs supported in one package:
You can install the CRAN release version of DemografixeR following this R
command:
install.packages("DemografixeR")
You can also install the development version of DemografixeR following these R
commands:
if (!require("devtools")) install.packages("devtools") devtools::install_github("matbmeijer/DemografixeR")
These are basic examples, which shows you how to estimate nationality, gender and age by a given name with & without specifying a country. The package takes care of multiple background tasks:
dplyr
or data.table
)library(DemografixeR) #Simple example without country_id names<-c("Ben", "Allister", "Lucie", "Paula") genderize(name = names) #> [1] "male" "male" "female" "female" nationalize(name = names) #> [1] "AU" "ZA" "CZ" "PT" agify(name = names) #> [1] 48 44 24 50 #Simple example with genderize(name = names, country_id = "US") #> [1] "male" "male" "female" "female" agify(name = names, country_id = "US") #> [1] 67 46 65 70 #Workflow example with dplyr with missing values and multiple different countries df<-data.frame(names=c("Ana", NA, "Pedro", "Francisco", "Maria", "Elena"), country=c(NA, NA, "ES", "DE", "ES", "NL"), stringsAsFactors = FALSE) df %>% dplyr::mutate(guessed_nationality=nationalize(name = names), guessed_gender=genderize(name = names, country_id = country), guessed_age=agify(name = names, country_id = country)) %>% knitr::kable()
| names | country | guessed_nationality | guessed_gender | guessed_age |
|---|---|---|---|---|
| Ana | NA | PT | female | 58 |
| NA | NA | NA | NA | NA |
| Pedro | ES | PT | male | 69 |
| Francisco | DE | CL | male | 58 |
| Maria | ES | CY | NA | 59 |
| Elena | NL | CC | female | 69 |
#Detailed data.frame example: genderize(name = names, simplify = FALSE, meta = TRUE) %>% knitr::kable()
| name | type | gender | probability | count | api_rate_limit | api_rate_remaining | api_rate_reset | api_request_timestamp | |
|---|---|---|---|---|---|---|---|---|---|
| 2 | Ben | gender | male | 0.95 | 77991 | 1000 | 959 | 46192 | 2020-05-14 11:10:07 |
| 1 | Allister | gender | male | 0.98 | 129 | 1000 | 959 | 46192 | 2020-05-14 11:10:07 |
| 3 | Lucie | gender | female | 0.99 | 85580 | 1000 | 959 | 46192 | 2020-05-14 11:10:07 |
| 4 | Paula | gender | female | 0.98 | 74130 | 1000 | 959 | 46192 | 2020-05-14 11:10:07 |
Please note that the ‘DemografixeR’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.


pflacs means faster load-cases and parameter studies.
Development of pflacs is currently in alpha phase. Python versions 3.6+ only are supported.
Index
Module Index
Search Page


@ProviderType
public interface ResourceMapper
This interface superceeds the resource mapping functionality present
in the ResourceResolver
. Although the methods present in that
interface will continue to work, the resource mapper will provide better
APIs to access the resource mappings.
Implementations of this class are obtained by adapting a ResourceResolver
instance. As such, the mappings returned by its methods reflect the repository
permissions of the underyling resolver instance.
| Modifier and Type | Method and Description |
|---|---|
java.util.Collection<java.lang.String> |
getAllMappings(@NotNull java.lang.String resourcePath)
Retuns all possible mappings for a given resourcePath as paths.
|
java.util.Collection<java.lang.String> |
getAllMappings(@NotNull java.lang.String resourcePath,
@NotNull javax.servlet.http.HttpServletRequest request)
Retuns all possible mappings for a given resourcePath as URLs.
|
@NotNull java.lang.String |
getMapping(@NotNull java.lang.String resourcePath)
Returns a path mapped from the (resource) path applying the reverse
mapping used by the
ResourceResolver.resolve(String) such that when the path is
given to the ResourceResolver.resolve(String) method the same resource is
returned. |
@NotNull java.lang.String |
getMapping(@NotNull java.lang.String resourcePath,
@NotNull javax.servlet.http.HttpServletRequest request)
Returns an URL mapped from the (resource) path applying the reverse
mapping used by the
ResourceResolver.resolve(HttpServletRequest, String) such
that when the path is given to the
ResourceResolver.resolve(HttpServletRequest, String) method the same resource is
returned. |
@NotNull @NotNull java.lang.String getMapping(@NotNull @NotNull java.lang.String resourcePath)
ResourceResolver.resolve(String)
such that when the path is
given to the ResourceResolver.resolve(String)
method the same resource is
returned.
Note, that technically the resourcePath
need not refer to an
existing resource. This method just applies the mappings and returns the
resulting string. If the resourcePath
does not address an
existing resource roundtripping may of course not work and calling
ResourceResolver.resolve(String)
with the path returned may return
null
.
This method is intended as the reverse operation of the
ResourceResolver.resolve(String)
method.
resourcePath
- The path for which to return a mapped path.java.lang.IllegalStateException
- if the underlying resource resolver has already been
closed
.@NotNull @NotNull java.lang.String getMapping(@NotNull @NotNull java.lang.String resourcePath, @NotNull @NotNull javax.servlet.http.HttpServletRequest request)
ResourceResolver.resolve(HttpServletRequest, String)
such
that when the path is given to the
ResourceResolver.resolve(HttpServletRequest, String)
method the same resource is
returned.
Note, that technically the resourcePath
need not refer to an
existing resource. This method just applies the mappings and returns the
resulting string. If the resourcePath
does not address an
existing resource roundtripping may of course not work and calling
ResourceResolver.resolve(HttpServletRequest, String)
with the path returned may
return null
.
This method is intended as the reverse operation of the
ResourceResolver.resolve(HttpServletRequest, String)
method. As such the URL
returned is expected to be an absolute URL including scheme, host, any
servlet context path and the actual path used to resolve the resource.
resourcePath
- The path for which to return a mapped path.request
- The http servlet request object which may be used to apply
more mapping functionality.java.lang.IllegalStateException
- if the underlying resource resolver has already been
closed
.java.util.Collection<java.lang.String> getAllMappings(@NotNull @NotNull java.lang.String resourcePath)
This method differs from the getMapping(String)
variant
by guaranteeing that all possible mappings are returned for a specified path.
The mappings are not returned in any particular order.
resourcePath
- The path for which to return a mapped path.java.lang.IllegalStateException
- if the underlying resource resolver has already been
closed
.java.util.Collection<java.lang.String> getAllMappings(@NotNull @NotNull java.lang.String resourcePath, @NotNull @NotNull javax.servlet.http.HttpServletRequest request)
This method differs from the getMapping(String, HttpServletRequest)
variant
by guaranteeing that all possible mappings are returned for a specified path.
The mappings are not returned in any particular order.
resourcePath
- The path for which to return a mapped path.request
- The http servlet request object which may be used to apply
more mapping functionality.java.lang.IllegalStateException
- if the underlying resource resolver has already been
closed
.Copyright © 2018 The Apache Software Foundation. All rights reserved.


Implementing a blog in Common Lisp
Update: Unfortunately, the Hunchentoot API seems to have been changed since this was written, so it'll probably not work anymore. (2010-03-28)
This tutorial shows how a blog can easily be implemented in Common
Lisp, using a few frameworks. Installing these frameworks is not
covered, and neither are details on getting Common Lisp
implementation up and running.
- Part 1 - Shows how data can be stored persistently, and how HTML pages can be generated and served to the end-user.
- Part 2 - Here we expand the code from the first part of the tutorial with functionality for showing each blog post on a separate page, and an interface for editing them.
- Part 3 - This part wraps up the tutorial by fixing some outstanding issues, such as creating a new blog post, outputting HTML, HTTP authorization and packaging.


US businesswoman says Johnson ignored her amid controversy
by The Associated PressLONDON — The American businesswoman at the heart of a controversy over links to U.K. Prime Minister Boris Johnson says he has cast her aside like a “gremlin.”
Jennifer Arcuri has told broadcaster ITV in an interview to be broadcast Sunday that Johnson ignored her when she tried to contact him about how to handle the media fallout from allegations that she received special treatment because of their relationship when Johnson was mayor of London. The technology entrepreneur refused to say whether the friendship was intimate.
Arcuri addresses Johnson directly, saying: “I’ve kept your secrets, and I’ve been your friend …. And I’m terribly heartbroken by the way that you have cast me aside like I am some gremlin.”
Johnson has said his dealings with Arcuri were “done with complete propriety.”
The Associated Press


conformal.Rd
conformal
is a framework for weighted and unweighted conformal inference for continuous
outcomes. It supports both weighted split conformal inference and weighted CV+,
including weighted Jackknife+ as a special case. For each type, it supports both conformalized
quantile regression (CQR) and standard conformal inference based on conditional mean estimation.
conformal( X, Y, type = c("CQR", "mean"), side = c("two", "above", "below"), quantiles = NULL, outfun = NULL, outparams = list(), wtfun = NULL, useCV = FALSE, trainprop = 0.75, trainid = NULL, nfolds = 10, idlist = NULL )
| X | covariates. |
|---|---|
| Y | outcome vector. |
| type | a string that takes values in {"CQR", "mean"}. |
| side | a string that takes values in {"two", "above", "below"}. See Details. |
| quantiles | a scalar or a vector of length 2 depending on |
| outfun | a function that models the conditional mean/quantiles, or a valid string.
The default is random forest when |
| outparams | a list of other parameters to be passed into |
| wtfun | NULL for unweighted conformal inference, or a function for weighted conformal inference
when |
| useCV | FALSE for split conformal inference and TRUE for CV+. |
| trainprop | proportion of units for training |
| trainid | indices of training units. The default is NULL, generating random indices. Used only when |
| nfolds | number of folds. The default is 10. Used only when |
| idlist | a list of indices of length |
a conformalSplit
object when useCV = FALSE
with the following attributes:
Yscore: a vector of non-conformity score on the calibration fold
wt: a vector of weights on the calibration fold
Ymodel: a function with required argument X
that produces the estimates the conditional
mean or quantiles of X
wtfun, type, side, quantiles, trainprop, trainid: the same as inputs
or a conformalCV
object when useCV = TRUE
with the following attributes:
info: a list of length nfolds
with each element being a list with attributes
Yscore
, wt
and Ymodel
described above for each fold
wtfun, type, side, quantiles, nfolds, idlist: the same as inputs
When side = "two"
, CQR (two-sided) produces intervals in the form of
$$[q_{\alpha_{lo}}(x) - \eta, q_{\alpha_{hi}}(x) + \eta]$$
where \(q_{\alpha_{lo}}(x)\) and \(q_{\alpha_{hi}}(x)\) are estimates of conditional
quantiles of Y given X and the standard conformal inference produces (two-sided) intervals in the form of
$$[m(x) - \eta, m(x) + \eta]$$
where \(m(x)\) is an estimate of conditional mean/median of Y given X. When side = "above"
,
intervals are of form [-Inf, a(x)] and when side = "below"
the intervals are of form [a(x), Inf].
quantiles
should be given when type = "CQR"
. When side = "two"
, quantiles
should be a vector of length 2, giving \(\alpha_{lo}\) and \(\alpha_{hi}\). When side = "above"
or side = "below"
, only one quantile should be given.
outfun
can be a valid string, including
"RF" for random forest that predicts the conditional mean, a wrapper built on randomForest
package.
Used when type = "mean"
.
"quantRF" for quantile random forest that predicts the conditional quantiles, a wrapper built on
grf
package. Used when type = "CQR"
.
"Boosting" for gradient boosting that predicts the conditional mean, a wrapper built on gbm
package. Used when type = "mean"
.
"quantBoosting" for quantile gradient boosting that predicts the conditional quantiles, a wrapper built on
gbm
package. Used when type = "CQR"
.
"BART" for gradient boosting that predicts the conditional mean, a wrapper built on bartMachine
package. Used when type = "mean"
.
"quantBART" for quantile gradient boosting that predicts the conditional quantiles, a wrapper built on
bartMachine
package. Used when type = "CQR"
.
or a function object whose input must include, but not limited to
Y
for outcome in the training data.
X
for covariates in the training data.
Xtest
for covariates in the testing data.
When type = "CQR"
, outfun
should also include an argument quantiles
that is either
a vector of length 2 or a scalar, depending on the argument side
. The output of outfun
must be a matrix with two columns giving the conditional quantile estimates when quantiles
is a vector of length 2; otherwise, it must be a vector giving the conditional quantile estimate or conditional mean estimate. Other optional arguments can be
passed into outfun
through outparams
.
wtfun
is NULL for unweighted conformal inference. For weighted split conformal inference, it is a
function with a required input X
that produces a vector of non-negative reals of length nrow(X)
.
For weighted CV+, it can be a function as in the case useCV = FALSE
so that the same function will
apply to each fold, or a list of functions of length nfolds
so that wtfun[[k]]
is applied to fold k
.
# Generate data from a linear model set.seed(1) n <- 1000 d <- 5 X <- matrix(rnorm(n * d), nrow = n) beta <- rep(1, 5) Y <- X %*% beta + rnorm(n) # Generate testing data ntest <- 5 Xtest <- matrix(rnorm(ntest * d), nrow = ntest) # Run unweighted split CQR with the built-in quantile random forest learner # grf package needs to be installed obj <- conformal(X, Y, type = "CQR", quantiles = c(0.05, 0.95), outfun = "quantRF", wtfun = NULL, useCV = FALSE)#>#> lower upper #> 1 -2.431775 2.645934 #> 2 -3.691599 1.882269 #> 3 -4.724475 2.680963 #> 4 -1.662391 3.842298 #> 5 -1.832897 2.884434# Run unweighted standard split conformal inference with the built-in random forest learner # randomForest package needs to be installed obj <- conformal(X, Y, type = "mean", outfun = "RF", wtfun = NULL, useCV = FALSE)#>#> lower upper #> 1 -1.7129412 2.1089487 #> 2 -3.3063890 0.5155009 #> 3 -3.2554484 0.5664415 #> 4 -0.4305554 3.3913345 #> 5 -1.4377467 2.3841433# Run unweighted CQR-CV+ with the built-in quantile random forest learner # grf package needs to be installed obj <- conformal(X, Y, type = "CQR", quantiles = c(0.05, 0.95), outfun = "quantRF", wtfun = NULL, useCV = TRUE) predict(obj, Xtest, alpha = 0.1)#> lower upper #> 1 -1.937277 2.679320 #> 2 -3.375687 1.562630 #> 3 -5.144663 1.807458 #> 4 -1.057491 3.607715 #> 5 -1.457668 2.567126# Run unweighted standard CV+ with the built-in random forest learner # randomForest package needs to be installed obj <- conformal(X, Y, type = "mean", outfun = "RF", wtfun = NULL, useCV = TRUE) predict(obj, Xtest, alpha = 0.1)#> lower upper #> 1 -1.7869359 2.1462101 #> 2 -3.2330711 0.7126941 #> 3 -3.4989231 0.4552532 #> 4 -0.5622837 3.3968215 #> 5 -1.3402963 2.6123227# Run weighted split CQR with w(x) = pnorm(x1) wtfun <- function(X){pnorm(X[, 1])} obj <- conformal(X, Y, type = "CQR", quantiles = c(0.05, 0.95), outfun = "quantRF", wtfun = wtfun, useCV = FALSE) predict(obj, Xtest, alpha = 0.1)#> lower upper #> 1 -2.018719 2.548110 #> 2 -3.267513 1.517215 #> 3 -5.082839 2.202935 #> 4 -1.224908 3.747015 #> 5 -1.624632 2.654648# Run unweighted split CQR with a self-defined quantile random forest # Y, X, Xtest, quantiles should be included in the inputs quantRF <- function(Y, X, Xtest, quantiles, ...){ fit <- grf::quantile_forest(X, Y, quantiles = quantiles, ...) res <- predict(fit, Xtest, quantiles = quantiles) if (length(quantiles) == 1){ res <- as.numeric(res) } else { res <- as.matrix(res) } return(res) } obj <- conformal(X, Y, type = "CQR", quantiles = c(0.05, 0.95), outfun = quantRF, wtfun = NULL, useCV = FALSE) predict(obj, Xtest, alpha = 0.1)#> lower upper #> 1 -2.624306 2.431770 #> 2 -3.432480 1.588299 #> 3 -4.428095 2.037705 #> 4 -1.606505 3.871971 #> 5 -1.564631 2.522321# Run unweighted standard split conformal inference with a self-defined linear regression # Y, X, Xtest should be included in the inputs linearReg <- function(Y, X, Xtest){ X <- as.data.frame(X) Xtest <- as.data.frame(Xtest) data <- data.frame(Y = Y, X) fit <- lm(Y ~ ., data = data) as.numeric(predict(fit, Xtest)) } obj <- conformal(X, Y, type = "mean", outfun = linearReg, wtfun = NULL, useCV = FALSE) predict(obj, Xtest, alpha = 0.1)#> lower upper #> 1 -1.53560580 1.8431881 #> 2 -2.95309352 0.4257004 #> 3 -3.89044926 -0.5116553 #> 4 -0.01023004 3.3685639 #> 5 -1.20526029 2.1735336# Run weighted split-CQR with user-defined weights wtfun <- function(X){ pnorm(X[, 1]) } obj <- conformal(X, Y, type = "CQR", quantiles = c(0.05, 0.95), outfun = "quantRF", wtfun = wtfun, useCV = FALSE) predict(obj, Xtest, alpha = 0.1)#> lower upper #> 1 -2.096538 2.898841 #> 2 -3.310206 1.513177 #> 3 -5.211726 1.476912 #> 4 -1.305874 3.823264 #> 5 -1.543778 2.872818# Run weighted CQR-CV+ with user-defined weights # Use a list of identical functions set.seed(1) wtfun_list <- lapply(1:10, function(i){wtfun}) obj1 <- conformal(X, Y, type = "CQR", quantiles = c(0.05, 0.95), outfun = "quantRF", wtfun = wtfun_list, useCV = TRUE) predict(obj1, Xtest, alpha = 0.1)#> lower upper #> 1 -2.099308 2.380417 #> 2 -3.375687 1.503159 #> 3 -5.108367 2.292939 #> 4 -1.206715 3.817539 #> 5 -1.467246 2.563156# Use a single function. Equivalent to the above approach set.seed(1) obj2 <- conformal(X, Y, type = "CQR", quantiles = c(0.05, 0.95), outfun = "quantRF", wtfun = wtfun, useCV = TRUE) predict(obj2, Xtest, alpha = 0.1)#> lower upper #> 1 -2.099308 2.380417 #> 2 -3.375687 1.503159 #> 3 -5.108367 2.292939 #> 4 -1.206715 3.817539 #> 5 -1.467246 2.563156


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!To ensure delivery for Father's Day, order by Monday, June 13 at 5pm PT. If you miss that deadline, for an additional $15 per address, we can rush orders received by Thursday, June 18 at 9am PT.
Some items must be ordered earlier as noted in the items's description. Rush shipping service is not available for some oversize items and items shipping directly from the supplier.
Williams-Sonoma only ships to the United States, U.S. Territories, and APO/FPO addresses. To place an order with a billing address outside the United States, please call (International Access Code) +<PHONE_NUMBER>. If you are shipping to a P.O. Box, please see
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When associating an object to a key on a node using setUserData
the application can provide a handler that gets called when the node the object is associated to is being cloned or imported.
More...
#include <DOMUserDataHandler.hpp>
Public Types | |
Public Constants | |
| enum | DOMOperationType { NODE_CLONED = 1, NODE_IMPORTED = 2, NODE_DELETED = 3, NODE_RENAMED = 4, NODE_ADOPTED = 5 } |
Operation Type. More... | |
Public Member Functions | |
Destructor | |
| virtual | ~DOMUserDataHandler () |
| Destructor. | |
Functions introduced in DOM Level 3 | |
| virtual void | handle (DOMOperationType operation, const XMLCh *const key, void *data, const DOMNode *src, DOMNode *dst)=0 |
| This method is called whenever the node for which this handler is registered is imported or cloned. | |
Protected Member Functions | |
Hidden constructors | |
| DOMUserDataHandler () |
When associating an object to a key on a node using setUserData
the application can provide a handler that gets called when the node the object is associated to is being cloned or imported.
This can be used by the application to implement various behaviors regarding the data it associates to the DOM nodes. This interface defines that handler.
See also the Document Object Model (DOM) Level 3 Core Specification.
| xercesc::DOMUserDataHandler::DOMUserDataHandler | ( | ) | [inline, protected] |
| virtual xercesc::DOMUserDataHandler::~DOMUserDataHandler | ( | ) | [inline, virtual] |
Destructor.
| virtual void xercesc::DOMUserDataHandler::handle | ( | DOMOperationType | operation, | |
| const XMLCh *const | key, | |||
| void * | data, | |||
| const DOMNode * | src, | |||
| DOMNode * | dst | |||
| ) | [pure virtual] |
This method is called whenever the node for which this handler is registered is imported or cloned.
| operation | Specifies the type of operation that is being performed on the node. | |
| key | Specifies the key for which this handler is being called. | |
| data | Specifies the data for which this handler is being called. | |
| src | Specifies the node being cloned, adopted, imported, or renamed. This is null when the node is being deleted. | |
| dst | Specifies the node newly created if any, or null . |


CHAPTER 843
HAWAII CRIMINAL JUSTICE COMMISSION
REPEALED. L 1989, c 332, §2.
Cross References
For present provisions, see §§28-10.6, 28-10.8.


Number methods help you to work with numbers.
JavaScript global functions can be used on all JavaScript data types.
These are the most relevant methods, when working with numbers:
| Method | Description |
|---|---|
| Number() | Returns a number, converted from its argument. |
| parseFloat() | Parses its argument and returns a floating point number |
| parseInt() | Parses its argument and returns an integer |
JavaScript number methods are methods that can be used on numbers:
| Method | Description |
|---|---|
| toString() | Returns a number as a string |
| toExponential() | Returns a string, with a number rounded and written using exponential notation. |
| toFixed() | Returns a string, with a number rounded and written with a specified number of decimals. |
| toPrecision() | Returns a string, with a number written with a specified length |
| valueOf() | Returns a number as a number |
| All number methods return a new value. They do not change the original variable. |
toString() returns a number as a string.
All number methods can be used on any type of numbers (literals, variables, or expressions):
toExponential() returns a string, with a number rounded and written using exponential notation.
A parameter defines the number of characters behind the decimal point:
The parameter is optional. If you don't specify it, JavaScript will not round the number.
toFixed() returns a string, with the number written with a specified number of decimals:
| toFixed(2) is perfect for working with money. |
toPrecision() returns a string, with a number written with a specified length:
There are 3 JavaScript functions that can be used to convert variables to numbers:
These methods are not number methods, but global JavaScript methods.
Number(), can be used to convert JavaScript variables to numbers:
| Used on Date(), the Number() method returns the number of milliseconds since 1.1.1970. |
parseInt() parses a string and returns a whole number. Spaces are allowed. Only the first number is returned:
If the number cannot be converted, NaN (Not a Number) is returned.
parseFloat() parses a string and returns a number. Spaces are allowed. Only the first number is returned:
If the number cannot be converted, NaN (Not a Number) is returned.
valueOf() returns a number as a number.
In JavaScript, a number can be a primitive value (typeof = number) or an object (typeof = object).
The valueOf() method is used internally in JavaScript to convert Number objects to primitive values.
There is no reason to use it in your code.
| In JavaScript, all data types have a valueOf() and a toString() method. |


Since 2013, I’ve been working with and as talent at Big Frame, a multi-channel YouTube network in Los Angeles. Youtube has been a huge part of my life since 2007, which I talk about a little more here. In 2013 I signed with Big Frame as a content creator, producing videos on my personal channel in conjunction with an all-female vertical network initiative. After two years, it became clearer to me that I didn’t want to pursue YouTube as a career, I began fostering a design freelance relationship with Big Frame (now owned by DreamWorks/AwesomenessTV), which has now grown beyond my contract as talent. ✧
A few of the YouTubers I’ve worked with include:
- Sarah Penna (Big Frame co-founder, now with AwesomenessTV)
- Joe Penna (MysteryGuitarMan → 2.85 mil)
- Jimmy Tatro (LifeAccordingToJimmy → 2.6 mil)
- Rebecca Black (rebecca → 1.3 mil)
- Jenn McAllister (jennxpenn → 2.8 mil)
- Arden Rose (ARose186 → 1.5 mil)


- Labeling interface is based on html-like tags, read more in our documentation.
- You can fully customize the appearance and workflow by modifying Labeling Config.
- Tag values can use variables that start with "$" sign, and those correspond to the fields in imported tasks from JSON or CSV files.


|
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Ø {{ average | number:'1.1-2' }} |
|
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{{ ratingTable[5] }} |
|
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{{ ratingTable[4] }} |
|
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{{ ratingTable[3] }} |
|
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{{ ratingTable[2] }} |
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{{ ratingTable[1] }} |
| No rating Infos avalaible |


When we use qb.Indicator
to warm up an indicator, the indicator values are returned in a pandas dataframe. Because pandas dataframes allow plotting with the df.plot()
method, it is straightforward to make simple plots of our indicators;
Before we plot our indicator, we should filter out columns in the dataframe which are not relevant to our analysis. For our Bollinger Band indicator, we find that the standard deviation column contains much smaller values than the other columns. This may skew our charts when it scales to fit all the data. We can drop all the irrelevant columns, such as the standarddeviation and percentb columns, from our dataframe before we plot it.
# drop all irrelevant columns fields df1_bb.drop(['standarddeviation', 'bandwidth', 'percentb', 'bollingerbands'], axis=1, inplace=True)
# plot the Bollinger Band df1_bb.plot()


Yesterday I visited Ernst & Young in Prague for a Workshop on the variety of LINQ technologies. Thanks to my TechEd Presenters of the Tools & Languages Track last November 2007 (Luca, Luke and Mike) I was able to give a good workshop based on their deliverables. You can download the demos I've created by clicking the following link:


ELECTRONIC CIRCUITS
What are Circuits?
Circuits combine wires, electricity, and components in order to accomplish something. This could be making light from a light switch, turning on a microwave, or getting a computer to work. All electronics have circuits.
THE BASIC CIRCUIT
Circuits need three things to work: a power source, connecting wires, and different components. Power sources could be like batteries or even potatoes.
Circuits can be drawn through SCHEMATICS. Schematics show how everything is connected. They use specific symbols and drawings so that different workers can read the same thing.
Sometimes there are a lot of components, so everything must go onto a PRINTED CIRCUIT BOARD. These types of circuits connect lots of different components into one working circuit. There are no wires needed because they are built into the board.
TYPES OF COMPONENTS
There are two types of components: PASSIVE and ACTIVE. Passive components don't need to be directly connected to a power source. Active components need external power, and are directly connected to a power source.
 Let's try a hands on experiment!


{% extends "layout.html" %} {% block page_title %} Money Claims Prototype {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} Back What was your address on 16 Sept 2017? This is the date the claim was sent to you. Address line 1 Address line 2 (optional) Town or city Postcode {% include 'prototypes/prototype-mar-2019/includes/contact.html' %} {% endblock %}
This is the date the claim was sent to you.


{% extends 'base.html' %} {% block title %}Delete | {% endblock %} {% block content %}
Are you want to delete this item ?


Question 6 of 10
Delivering & meeting expectations 2
You are working to fit toilets into many new rooms of a hotel.
You have been working with the Supervisor on the first room in the hotel, and they have shown you exactly what to do. You have all of the tools you need with you and they explain that you need to finish all of the hotel rooms today.
They have now gone to another area of the site.
You have finished this particular task but you know the other rooms of the hotel that need the same work.
You are not sure if you should wait for the Supervisor to return before you move on to completing the same job in the other hotel rooms.
Choose your approach
Please select an option from the choices above before continuing.


To understand what the ReCap Photo API can do, we first need to understand 'What is reality data?'
Reality data is physical object and spatial information captured by sensors, such as laser scanners and photography. Whether you’re using a terrestrial scanner, a depth camera, a digital SLR or a smartphone, ReCap software works with data captured from a range of devices. ReCap software interprets four types of reality data, depending on the capture technology used: Laser Point Cloud, Real View, Photo Mesh, and Photo Point Cloud.
Autodesk© ReCap™ Photo provides a WEB service to create textured mesh from a set of photos, and can request an automatic 3D calibration. This REST API provides a similar service as the Autodesk ReCap 360 WEB application.
Using that API, you can develop a Mobile, Desktop, or WEB application. Your application will need an oAuth 1.0a key pair to access the API, and the customer using the application will give authorization to your application to access his resources by logging on his Autodesk 360 account.
The API comes as a (server-side) REST API that allows you to translate photos into a textured' mesh in the file format of your choice. The data extracted from the original photos are the 3d geometry and the texture of the model.
Please consider Memento as your preferred tool for your sculpting projects. Not only you can process your photos and create high res 3D models but you can also clean and heal the mesh, and prepare it for 3D printing or web publishing.
Once you get your API keys, you can play with the API from the documentation without writing code.
The documentation is always the first place you should go when you have problems or it's unclear how to use the API.
Need help? Search on forums for similar questions and solutions, or ask your question in a new thread.
Need help? Search on forums for similar questions and solutions, or ask your question in a new thread.
We share our solutions, tips and our learning experiences on the "ADN Cloud and Mobile DevBlog".
Visit also the ReCap team blog


For that cutting edge above the rest without breaking the bank phone us now or nip in!
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Neo Cloud
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Nala
Facts About Me
| Breed |
Siamese, Mixed |
Weight |
Unknown |
| Color |
Golden |
Gender |
Female |
| Age |
Baby |
Size |
Medium(7-11 obs) |
| Coat Length |
Medium |
Pet ID |
49337430 |
My Info
House-trained
Vaccinations up to date
Good with Children, Dogs, Cats
My Story
This charming 3-year-old gal is looking for a companion to spend furever with! Nala is an incredibly sweet girl who was recently returned after spending 2 years in a home. At the shelter she is very stressed out by the excessive noise. In her kennel, Nala looks SOOO sad you would never guess she can be SUPER fun and playful when she opens up… and it doesn’t take too long! If you respect her process, she’s happy to make new friends, especially when they’re down to play some fetch with her squeaky toys!  Nala was mainly returned because her family was moving, but she did struggle with a few issues like chewing and digging when left unsupervised. These issues were likely due to separation anxiety and latent puppy behavior, for which our Behavior department can provide lifelong support.


Modal title
×
Run
A Star (A*)
Backtracking
*Max size: 10 rows
Branch and bound
*Max size: 25 rows
A Star (A*)
*Max size: 50 rows
Generate maze
Random 10%
Random 20%
Random 30%
My Random Star Maze
Randomized DFS
Randomized BFS
Square types
Begin cell
Wall cell
Exit cell
Empty cell
Options
Thickness:
1
Rows:
*Max:
100
Delay (ms):
1
Clear map


Created by Baxter Kemp
Step 1
Choose a Type of Pizza
Step 2
Select Pizza Base
Step 3
Add Extra Toppings
Step 4
Select a Quantity
1
Step 5
Enter an Name
Step 6
Enter the Delivery Address
Step 7
Enter the Delivery Time
Finishing Up
Final Order
$0.00
Finishing Up
Delivery Details
Order List
| Name | Address | Time | Type | # | Size | Toppings | |
|---|---|---|---|---|---|---|---|
| Please Place an Order. |


{% load otree i18n %}
{% trans 'In this study, you will be in a randomly formed group of' %} {{ Constants.players_per_group }} {% trans 'participants. Each participant in the group is given' %} {{ Constants.endowment }}. {% trans 'The group has the opportunity to undertake a joint project. Each participant in the group decides how much she or he is going to contribute tothe project. Contribution could be any integer from 0 to' %} {{ Constants.endowment }}.
{% trans 'The earnings from the project are calculated as follows: The contributions of all' %} {{ Constants.players_per_group }} {% trans 'participants are added up, the total contribution is multiplied by a factor of' %} {{ Constants.multiplier }}, {% trans 'and the resulting amount is the total earnings from the project, which is evenly split among all' %} {{ Constants.players_per_group }} {% trans 'participants. Your payoff equals your earnings from the project, plus the amount you did not contribute.' %}


So Zenlike: the Bad Tryp is attained through wanting to have a Good Tryp, or, wanting anything at all, really. One must give up. A friend of mine insists that the Zen Koan, 'Fuck it' is the most useful thing.
But I also like Japanese Temples and Shrines.
I have been experimenting with cannabis (taima- 'the great hemp') and psilocybin here in Japan, and I have found the Temples and Shrines to be very instructive.
They both have the same basic layout, and the parallels to Trypping I have found to be EXTREMELY handy in difficult situations. (Including one large dose of something that was billed as peyote, but which fit the PCP trip reports far too closely. I locked myself in my room, breathed, and sang like a Native American until whatever it was wore off.)
First off, as you approach the temple grounds, you see two Guardians. Sometimes these are the Nio-sama, the fierce warriors; sometimes the heavenly dogs. Warriors or dogs: one with mouth open, one with mouth closed.
A picture is worth a thousand words, so much more a statue, but a simple meaning gives you Open Desire on one side, 'Give me food!' and Closed Fear on the other, 'Get that natto away from my mouth!'
You want in? Walk the Center Path to Wholiness.
You want a Bad Tryp, keep banging your head against the Nio-sama of Desire. That wooden fist hurts, doesn`t it?
The Tryptamine Elves guard the Inner Sanctum jealously. If you bet Fear or Desire, they will see you, and raise your bet with Insanity.
But if you back off, and sincerely tell them that you are prepared to be Serious, you will be shown the Path in Between. (This is also practice for doing the same thing in emotionally and intellectually trying spots when you are not trypping, as well; giving rise to the institution of the Useful Flashback.)
So much for Centering along that axis.
Often there is the outer court where you may purify with water, the outer hall, where offerings are presented, and the usually-sealed inner sanctum. This helps you center within the dosage thresholds. Where am I? The outer court might be two mushrooms. The outer hall, three or four. And the inner sanctum? Well that would be the Five Dried Grams.
I noticed that Terence McKenna once said that he 'use[d] cannabis to navigate' on shrooms. In characterizing this process, I feel the female cannabis flower to be maternal and the phallic shroom to be stern and fatherly.
The father is stricter by the gram, wielding the Logos impartially, producing a knife's edge path at high doses between the kami of desire and the kami of fear.
To introduce the maternal into the difficult situation is to comfort one, bringing in the Erotic principle Terence offered a lecture on, wherein unrelated things mix.
I refer to smoking like this as Turning Up the Weird Dial, difficult in its own way, which is where the two sides intermingle, producing a state that I have found teaches one to be skeptical creatively, which is beautiful, and infinitely useful, as opposed to common nihilistic skepticism. It piques the intellectual appetite, and descending out of the trip often leaves me with the dog of my curiosity straining at his leash.
Skepticism is Key, because so often things are neither what I would hope for or fear. They turn out to be some third option I could never have guessed. The tension of waiting for that truth to appear just about kills me, but the mushroom and the flower have given me patience to hold out for it and the insight to know that it must be there, again and again.
In closing, I hope this template proves useful to some people. And remember that breathing evenly is indispensable to the centering process.
Furthurmore, using these ideas, I have managed to handle the mushroom so that I could learn A LOT from it, and not be put off by its tendency to guard its Knowledge from frivolous inquiries.
And anyway, aren`t the Fungus and the Flower so Wonderful?! As inexperienced as I am, I hope this helps some people to appreciate them more.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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LIVE SIMPLE, LIVE HAPPILY
Simplifying Your Lifestyle.
It is contemporary. It is compact. It fits in everywhere.
It is all you need for your convenient daily clean water intake.
Fulfilling all your essentials.
| RETAIL PRICE | MONTHLY RENTAL |
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| RM 2260 | RM 66 |
| FREE 1-YEAR SERVICE & PRODUCT WARRANTY | FREE 5-YEAR SERVICE & PRODUCT WARRANTY |
Tank Capacity :
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Shane Zachary Cranor
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can.Model
can.Model([name,] staticProperties, instanceProperties)
Create a can.Model constructor. (See can.Construct for more details on this syntax.)
Parameters
-
name
{String}
OptionalIf given, this will be the globally-available name of the constructor function.
-
staticProperties
{Object}
The static properties of the class. See below for properties with special meanings to
can.Model
. -
instanceProperties
{Object}
The instance properties of instances of the class. These will usually be functions.
Returns
{function()}
A can.Model constructor.
new can.Model([options])
Creates a new instance of ModelConstructor.
Parameters
-
options
{Object}
OptionalOptions to pass to
setup
orinit
.
Returns
{can.Model}
A new instance of ModelConstructor.
Model adds service encapsulation to can.Observe. Model lets you:
Get and modify data fron the server
can.Model makes connecting to a JSON REST service really easy. The following models
todos
by describing the services that can create, retrieve, update, and delete todos.This lets you create, retrieve, update, and delete todos programatically:
Create
Create a todo instance and call
save(success, error)
to create the todo on the server.Retrieve
Retrieve a list of todos from the server with
findAll(params, success(items), error)
:Retrieve a single todo from the server with
findOne(params, success(item), error)
:Update
Once an item has been created on the server, you can change its properties and call
save
to update it on the server.Destroy
Call
destroy(success, error)
to delete an item on the server.Listen to changes in data
Listening to changes in data is a critical part of the Model-View-Controller architecture. can.Model lets you listen to when an item is created, updated, destroyed or its properties are changed. Use
Model.bind(eventType, handler(event, model))
to listen to all events of type on a model andmodel.bind(eventType, handler(event))
to listen to events on a specific instance.Create
Update
Destroy
Property Changes
Listening with can.Control
You should be using can.Control to listen to model changes like:


--- layout: default title: Off Season Winter Training tags: - Bodybuilding ---
After cutting for nearly a year . I have reached a plateau . So this winter I would be starting my offseason . A few pointers for beginners .
Bulking/Cutting is pure math. The idea is to have a calorie excess of 500 cal which lets you gain around 1kg a week. Its easy to add a 1000 calories by just adding 2 tbsp of oil in every meal . Its possible to cut the same by halving the carb intake in each meal. Use the bisection method to find the sweet spot .
What you build in the offseason is what comes out after cutting . So even though your abs are not visible , keep training them hard . I am exceptionally lazy when it comes to ab training . So I train them first incorporating them into my warm up .
To build quality muscle , you would need to use all rep ranges from 1-12 while exhausting major and supporting muscles. You cannot usually do this with full body workouts .The other added advantage, is that you could react to how you feel, changing rep range and tempo to cause complete fatigue.
If you are a part-time bodybuilder, you will never have 12 weeks where you can train 6 hours with a host of supplements and perfect sleep. Projects come, distractions happen , cheats happen . Its more important to get up than to avoid falling down . Do not try to follow a perfect diet for 3-4 weeks , learn how to get back on track after falling down.
I try to improve my surfing skills through cardio.
Never be hungry and start thinking what to eat. Prep meals once/twice a week .Tupperware is your friend .I usually prepare my meals on sunday while measuring them each morning .Diet is playing with data, if your data is wrong so will your diet . So try to be accurate with your numbers . If your an endomorph, as I am you need your carb intake on your finger tips.
Its been some time since I trained for power. So started off this season with 1 exercise 1-5 reps X 5 sets before going to hypertrophy .
I lost valuable years to this bad habit . You build a tendency to ego lift without recruiting all muscle fibres.


class: center, middle, inverse, title-slide # Uncoast Unconf Preparation ## usethis ### 2019-04-07 --- class: inverse ## Welcome Back! ### Review - We want to be ready to collaborate when we get to Des Moines! -- - If you're happy with your setup, no need to do anything. -- - If you haven't gone through the past three weeks, please do so. -- - Reference: [What They Forgot to Teach You About R](https://whattheyforgot.org/index.html) by Jenny Bryan and Jim Hester. -- - If you have any questions: - you can file a [GitHub issue](https://github.com/uncoast-unconf/uu-2019-day-zero/issues/12), or email ian [dot] lyttle [at] se [dot] com --- ## usethis - There’s a lot repetitive things package-development (and in project workflows), but painful if it gets messed-up. -- - This is the motivation behind the usethis package. -- - Just had a CRAN release (thanks to Jenny Bryan and her coworkers for the excellent timing)! - This week, everything in the Console pane: ```r install.packages(c("usethis", "reprex")) ``` - You may wish to load the package for the next few steps: ```r library("usethis") ``` --- ### How can I find out about my git and GitHub setup? - There’s a function for that: ```r git_sitrep() ``` ``` Git user * Name: <unset> * Email: <unset> * Vaccinated: FALSE usethis + git2r * Default usethis protocol: <unset> * git2r supports SSH: TRUE * Credentials: '<usethis + git2r default behaviour>' GitHub * Personal access token: <unset> ``` -- ---- - Your response may look different; that's OK. - First we look for: `Git user` > `Vaccinated` --- ### How to I stay safe with git? - Want to prevent committing stuff to git that can contain credentials. - `git_vaccinate()` adds files to your global git-ignore file. ```r git_vaccinate() ``` --- ### How to I stay safe with git? ```r git_sitrep() ``` -- ``` Git user * Name: <unset> * Email: <unset> * Vaccinated: TRUE usethis + git2r * Default usethis protocol: <unset> * git2r supports SSH: TRUE * Credentials: '<usethis + git2r default behaviour>' GitHub * Personal access token: <unset> ``` -- ---- `Git user`: - ✅ `Vaccinated: TRUE` Next we look for: `Git user` > `Name` and `Email` --- ### How do I configure my git? - Git and GitHub use your name and email address to keep track of who commits what. - Your email has to be an email you have registered with GitHub. - To remind yourself what emails you set at GitHub: `https://github.com/settings/emails` If you need to set or update these: ```r use_git_config(user.name = "Ian Lyttle", user.email =<EMAIL_ADDRESS>``` --- ### How do I configure my git? ```r git_sitrep() ``` -- ``` Git user * Name: 'Ian Lyttle' * Email<EMAIL_ADDRESS>* Vaccinated: TRUE usethis + git2r * Default usethis protocol: <unset> * git2r supports SSH: TRUE * Credentials: '<usethis + git2r default behaviour>' GitHub * Personal access token: <unset> ``` -- ---- `Git user`: - ✅ `Vaccinated: TRUE` - ✅ `Name:` is correct - ✅ `Email:` is correct Next we look for: `GitHub` > `Personal access token` --- ### How do we make it easy to authenticate to GitHub? - GitHub personal access-token (PAT) - treat this like a username + password -- - Prepare by opening your `.Renviron` file: - single known-place we can keep things like credentials - if you work with a firewall, you might use for proxy settings -- ```r edit_r_environ() ``` - Use this [starter file](https://gist.github.com/ijlyttle/dee4a89c8528cd4a0a319bb7b8cdd51a): - If you already have a `.Renviron` file, save a backup copy, then pick-and-choose useful bits from the starter for your `.Renviron` file. - If you don't have a `.Renviron` file (empty), copy the starter entirely. - Modify the value of `GITHUB_PAT`; you will need to get your own. --- ### How do we make it easy to authenticate to GitHub? - Next, we need to get a PAT. - Use `browse_github_pat()`: - you may wish associate the PAT with the computer - should the computer go away, delete the PAT for that computer -- ```r browse_github_pat(description = "your-custom-name-here") ``` - This opens a browser page to generate a GitHub PAT: - you may need your GitHub credentials - generate the PAT - save it to your clipboard -- - Copy the PAT into your `.Renviron` file: - up to you if you want to surround the PAT in quotes -- - Make sure `.Renviron` ends with a newline! - Restart your R session. --- ### How do we make it easy to authenticate to GitHub? ```r usethis::git_sitrep() ``` -- ``` Git user * Name: 'Ian Lyttle' * Email<EMAIL_ADDRESS>* Vaccinated: TRUE usethis + git2r * Default usethis protocol: <unset> * git2r supports SSH: TRUE * Credentials: '<usethis + git2r default behaviour>' GitHub * Personal access token: '<found in env var>' * User: 'ijlyttle' * Name: 'Ian Lyttle' ``` -- ---- `GitHub`: - ✅ `Personal access token: '<found in env var>'` - ✅ `User:` is correct - ✅ `Name:` is correct --- ### How do I make sure I use the git protocol that I expect to? -- - What?!? -- - There are two ways we can access a remote repository using git: - `https` - `ssh` - They are both good, but `https` can be easier to set up for the first time. - If things are working for you using `ssh`, that's fine - please proceed. -- - We set this preference in the `.Rprofile` file. - `.Renviron` helps us be **safe** - `.Rprofile` helps us be **lazy** --- ### How do I make sure I use the git protocol that I expect to? ```r usethis::edit_r_profile() ``` Use this [starter file](https://gist.github.com/ijlyttle/dee4a89c8528cd4a0a319bb7b8cdd51a): - If you already have a `.Rprofile` file, save a backup copy, then pick-and-choose useful bits from the starter for your `.Rprofile` file: - in `options()`, set `usethis.protocol = "https"` - if you have set up ssh, and want to keep using it, set to `"ssh"` - other options and startup packages may be interesting - If you don't have a `.Rprofile` file (empty), copy the starter entirely. - change to your name, email address, etc. Make sure `.Rprofile` ends with a newline! When you're done editing `.Rprofile`, save it, then restart R. --- ### How do I make sure I use the git protocol that I expect to? ```r git_sitrep() ``` -- ``` Git user * Name: 'Ian Lyttle' * Email<EMAIL_ADDRESS>* Vaccinated: TRUE usethis + git2r * Default usethis protocol: 'https' * git2r supports SSH: TRUE * Credentials: '<usethis + git2r default behaviour>' GitHub * Personal access token: '<found in env var>' * User: 'ijlyttle' * Name: 'Ian Lyttle' ``` -- ---- `usethis + git2r`: - ✅ `Default usethis protocol:` either `'https'` or `'ssh'` (your choice) --- ### Verify ```r git_sitrep() ``` `Git user`: - ✅ `Vaccinated: TRUE` - ✅ `Name:` is correct - ✅ `Email:` is correct `usethis + git2r`: - ✅ `Default usethis protocol:` either `'https'` or `'ssh'` (your choice) `GitHub`: - ✅ `Personal access token: '<found in env var>'` - ✅ `User:` is correct - ✅ `Name:` is correct --- class: inverse ### 🎉 🥳 We have finished our preparations! 🎉 🎉 -- - If you have any questions: - you can file a [GitHub issue](https://github.com/uncoast-unconf/uu-2019-day-zero/issues/12), or email ian [dot] lyttle [at] se [dot] com -- ### Thanks for your patience! -- ### See you in Des Moines! 🚗 ✈


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Kylie Jenner Cosmetic Co. Crashes After She Sells Her Stake
by Modupeoluwa AdekanyeIn a report by TMZ, the beauty company that bought Kylie Jenner out of her majority stake is taking a huge hit on Wall Street.
Coty shares are plummeting in the wake of the world’s youngest billionaire’s decision to sell her 51 percent stake in Kylie Cosmetics to the conglomerate. After trading closed this week, Coty stocks were down significantly to $11.53, the lowest they’ve been in a month.
After a brief initial surge, the share price kept trending down, finishing each day this week at a lower figure. Overall, Coty stock is down roughly 5.5 percent since Kylie cashed out.
Many analysts expected a surge after Coty snapped up Kylie but they were wrong. Shareholders might be hurting, but Kylie’s another $600 mil in the black.
Formerly known as Kylie Lip Kits, the company was renamed Kylie Cosmetics in 2016 after the release of the liquid lipstick and lip liner set on November 30, 2015.
In 2018, Forbes reported the company was valued at $800 million. In March 2019, Kylie Cosmetics was valued at $900 million. On November 18, 2019, Coty, Inc. bought a 51% controlling stake in the company for $600 million.
In the first 18 months, the company generated $420 million in revenue. Kylie Cosmetics maintains its reputation as an individually funded and self-run company.
Kris Jenner has suggested that attaching to a bigger brand like Estee Lauder would be beneficial for the future of the company.


I am a passionate full-stack developer and graduate of the UC Berkley Web Development Coding Bootcamp.
I love utilizing my strong foundation in modern web development to build robust and meaningful applications utilizing the latest technologies.


Singles / Hitori
Loading
Rules
- The same number may only appear once per row and column.
- Removed/Blocked numbers can't be neighbor with other Removed/Blocked numbers (N,W,S,E).
- All numbers most be connected with the rest of the numbers (N,W,S,E).
Tools
How to Play
- Remove number by tapping them with the remover-tool. (default left mouse-button).
- Mark numbers as required by tapping them with the keep-tool. (default right mouse-button, or 2 left).
Left: Remove, Right: Keep
Swap


Command Details: This will display a list of non-grouped items within the server shop.
Usage Example: /shop
Related Command: /shop list (This will display a list of grouped items within the server shop.Usage Example: /shop food)
Command Details: This is used to purchase the item from the server shop. The item is specified by ID, as found from the /shop command.
When you purchase an item, it will appear at your feet. Press E to pick it up
Usage Example: /buy 52605
Command Details: Creates a zGate with the provided name at your current location.
Usage Example: /zgate create mySpot
Creation Fee: 25 zCoins
Max zGates / Player: 3
Command Details: Teleports you to the zGate that you specified. You must be the owner of the zGate, or it must be set to public.
Usage Example: /zgate visit Hotel
Usage Fee: 5 zCoins
Usage Delay: 10 Minutes
Command Details: Changes the privacy status of the zGate from Private to Public. And Public, back to Private.
Public zGates can be visited by anyone!
Usage Example: /zgate toggle mySpot
Command Details: Randomly chooses configured number of rewards from any items that are not grouped
Usage Example: /gimme
Fee: 5 zCoins
Cooldown: 30 Minutes
Rewards: 1 Random Item
Command Details: A once time use command that drops a care package at teh players feet. Players should inspect the ground carefully for all items. This command should be used
once the player is in a safe place
Cooldown: 999999999
Fee: 0


We couldn't find what you were looking for.
Unfortunately the page you were looking for could not be found. It may be temporarily unavailable, moved or no longer exist.
Check the URL you entered for any mistakes and try again. Alternatively, search for whatever is missing or take a look around the rest of our site.


Memory can be preloaded by typing entries of the form
addr=value
Then press the 'Set Mem' to initialize the memory values.
Put the starting address in the address box. The memory boxes will start at that address and each one shows 16 cells. Press 'load' to put the program into memory. Then you can either step through it or run it all at once. There is precious little error help.
The rotate instruction appears to be working. Floating point addition is the same as integer addition. There is no ability to alter memory except through instructions. Same with registers.
Try it out and please send comments or bugs to<EMAIL_ADDRESS>.


This add-in allows you to:
The menu for the Content Manager integration is found in the ribbon in desktop Outlook but in the 'More actions' menu within a mail item in Outlook Online. Throughout this documentation it will be referred to as 'the menu'.
To file a single email, or attachments from a single email:
If there are attachments on the email the first screen, instead of showing the Record Type quick select, will allow you to choose one or more attachments and/or the email itself. At this point you may also choose to bypass the data entry form.
A Check in Style is simply a way to set up default values in Record properties. For example if you have fields that always contain the same value whenever you file email from a particular customer you might create a Check in Style to save re-entering those values every time.To create a Check in Style:
A linked folder is a special type of Check in Style that has a link to one of the folders in your mail box. This allows the server side component of the integration to monitor these linked folders and register any mail item that is moved to the folder according to the settings in the Check in Style. Because the email is filed by a server process linked folders do not allow you to access the data entry form when you move the item to the folder. To create a linked folder:
Once a document has been registered in Content Manager the the Task Pane should open automatically whenever the document is opening. This Task Pane contains a Context tab with quick links to those Records that are:
The context pane may also be used to do a search for any Record in Content Manager.
The User Options menu item allows you to set the default Record Type.
Fields in the Record entry form that contain Content Manager objects, such as Container or Author, are populated using quick select fields. These quick select fields are simpler than the corresponding fields in either the desktop or web clients, you may find an object by:
Once you have found the appropriate object in the list select it to populate the field.
The tabs used in the record entry form have to fit into the width of the task pane, for this reason they have an overflow feature. If there is more than one tab in the Record Entry form and it is likely the combined size of the tabs will be larger than the available width then overflowing tabs will be shown not as tabs but in the overflow menu, represented by the an ellipsis menu.
Records and Check in Places are displayed using the properties pane, this is the pane that is displayed in the task pane when you select the 'Record' menu item for an item that exists in Content Manager. The properties pane shows the list of properties you have selected to show in the View Pane. To remove a propery from display use the X icon to the right of the property value. To add a propert use the combobox at the bottom of the pane to choose the property then select 'Add'. To reset the displayed properties to the default choose 'Get default properties andf fields for view pane' from the context menu.


--- layout: page title: About permalink: /about/ published: true ---
SushiChain is an awesome blockchain written in the Crystal programming language. The goal of SushiChain is to be a user friendly and developer friendly platform for creating dapps. This blog will document our journey as we attempt to create a usable product from scratch.


--- layout: post title: Thoughts on a Modern Web Application date: 2013-09-17 03:38:33.000000000 -07:00 categories: - Web Applications tags: [] status: draft type: post published: false meta: _edit_last: '16448603' author: login: elemecca email<EMAIL_ADDRESS>display_name: elemecca first_name: '' last_name: '' ---
To create a reasonably responsive and performant web application these days it's generally necessary to use client-side JavaScript to drive the user interface. No-one wants to sit through an entire page load when they switch tabs within a page. Some simple navigational elements (like tabs) can be handled by returning more information in the page than is initially displayed and changing what's displayed later with JavaScript. Doing much of anything beyond that generally requires a more heavyweight application on the client backed by some sort of web API. That design, however, results in apps like Google's Blogger which show as a mostly-blank page for those of us who use NoScript. It is therefore necessary to at least partly duplicate the functionality of the client-side application on the server for the benefit of search engines and other JavaScript-impaired users. That duplication tends to result in fragile


|
RL-Bin
2.0.0
Robust Low-overhead Binary Rewriter
|
Disassembler class contains disassmebly functions. More...
Public Member Functions | |
| bool | IsInstRet (ADDRESS _address) |
| Checks if the instruction is return instruction. More... | |
| bool | IsInstDirectJump (ADDRESS _address) |
| Checks if the instruction is direct jump. More... | |
| bool | IsInstDirectCall (ADDRESS _address) |
| Checks if the instruction is direct call. More... | |
| bool | IsInstConditionalJump (ADDRESS _address) |
| Checks if the instruction is conditional jump. More... | |
| bool | IsInstIndirectJump (ADDRESS _address) |
| Checks if the instruction is indirect jump. More... | |
| bool | IsInstIndirectCall (ADDRESS _address) |
| Checks if the instruction is indirect call. More... | |
| bool | IsInstDirectCTI (ADDRESS _address) |
| Checks if the instruction is direct CTI. More... | |
| bool | IsInstIndirectCTI (ADDRESS _address) |
| Checks if the instruction is indirect CTI. More... | |
| void | GetDirectCTIDest (ADDRESS _address, ADDRESS *_destAddress) |
| Dynamically calculate the target of direct CTI. More... | |
| void | GetConditionalCTIDest (ADDRESS _address, ADDRESS *_destAddress) |
| Dynamically calculate both targets of conditional CTI. More... | |
| void | GetIndirectCTIDest (ADDRESS _address, ADDRESS *_destAddress, PCONTEXT _context) |
| Dynamically calculate the target of indirect CTI. More... | |
| bool | GetOneInst (int address, Inst *instruction) |
| The function that gets the information of a single instruction from Capstone library. More... | |
| bool | IsValidInst (int address) |
| The function checks whether there is an instruction in a given address using Capstone library. More... | |
| int | GetInstSize (ADDRESS address) |
| Gets the size of the instruction at the given address. More... | |
| void | PrintInst (ADDRESS address, LogType _log_type) |
| Print the given instruction to the given log file. More... | |
| void | PrintInstDetails (ADDRESS address, LogType _log_type) |
| Print the details of a given instruction to the given log file. More... | |
Static Public Member Functions | |
| static Disassembler * | Create (void) |
| Creates the single instance of the Disassembler class. More... | |
| static Disassembler * | Get (void) |
| gets the single instance of the Disassembler class More... | |
Private Member Functions | |
| int | GetRegValue (int _num, PCONTEXT _context) |
| Gets the dynamic value of the register given in the context. More... | |
| uint8_t | GetRegFromModrm (uint8_t _modrm) |
| Gets the Reg value from Modrm bits. More... | |
| uint8_t | GetModFromModrm (uint8_t _modrm) |
| Gets the Mod value from Modrm bits. More... | |
| uint8_t | GetRmFromModrm (uint8_t _modrm) |
| Gets the Rm value from Modrm bits. More... | |
Static Private Attributes | |
| static Disassembler * | s_instance = NULL |
Disassembler class contains disassmebly functions.
Definition at line 21 of file Disassembler.h.
|
static |
Creates the single instance of the Disassembler class.
Definition at line 11 of file Disassembler.cpp.
|
static |
gets the single instance of the Disassembler class
Definition at line 23 of file Disassembler.cpp.
Dynamically calculate both targets of conditional CTI.
| [in] | _address | The address of the call instruction |
| [out] | _destAddress | The target addresses of the conditional jump |
Definition at line 23 of file AddressTranslator.cpp.
Dynamically calculate the target of direct CTI.
| [in] | _address | The address of the call instruction |
| [out] | _destAddress | The target address of the instruction |
Definition at line 10 of file AddressTranslator.cpp.
| void Disassembler::GetIndirectCTIDest | ( | ADDRESS | _address, |
| ADDRESS * | _destAddress, | ||
| PCONTEXT | _context | ||
| ) |
Dynamically calculate the target of indirect CTI.
| [in] | _address | The address of the call instruction |
| [out] | _destAddress | The target address of the instruction |
| [in] | _context | The context of the thread when the function is called |
Definition at line 31 of file AddressTranslator.cpp.
| int Disassembler::GetInstSize | ( | ADDRESS | address | ) |
Gets the size of the instruction at the given address.
| [in] | The | address of the instruction |
Definition at line 63 of file Utilty.cpp.
|
private |
Gets the Mod value from Modrm bits.
| [in] | _modrm | The modrm bits |
Definition at line 225 of file Opcode.cpp.
| bool Disassembler::GetOneInst | ( | int | address, |
| Inst * | instruction | ||
| ) |
The function that gets the information of a single instruction from Capstone library.
| [in] | address | The address of the instruction |
| [out] | instruction | The pointer to instruction class that will be filled out |
Definition at line 8 of file Utilty.cpp.
|
private |
Gets the Reg value from Modrm bits.
| [in] | _modrm | The modrm bits |
Definition at line 219 of file Opcode.cpp.
|
private |
Gets the dynamic value of the register given in the context.
| [in] | _num | The number of the instruction to read its value |
| [in] | _context | The context of the thread when the function is called |
Definition at line 197 of file Opcode.cpp.
|
private |
Gets the Rm value from Modrm bits.
| [in] | _modrm | The modrm bits |
Definition at line 231 of file Opcode.cpp.
| bool Disassembler::IsInstConditionalJump | ( | ADDRESS | _address | ) |
Checks if the instruction is conditional jump.
Definition at line 77 of file Opcode.cpp.
| bool Disassembler::IsInstDirectCall | ( | ADDRESS | _address | ) |
Checks if the instruction is direct call.
Definition at line 56 of file Opcode.cpp.
| bool Disassembler::IsInstDirectCTI | ( | ADDRESS | _address | ) |
Checks if the instruction is direct CTI.
Definition at line 175 of file Opcode.cpp.
| bool Disassembler::IsInstDirectJump | ( | ADDRESS | _address | ) |
Checks if the instruction is direct jump.
Definition at line 32 of file Opcode.cpp.
| bool Disassembler::IsInstIndirectCall | ( | ADDRESS | _address | ) |
Checks if the instruction is indirect call.
Definition at line 154 of file Opcode.cpp.
| bool Disassembler::IsInstIndirectCTI | ( | ADDRESS | _address | ) |
Checks if the instruction is indirect CTI.
Definition at line 184 of file Opcode.cpp.
| bool Disassembler::IsInstIndirectJump | ( | ADDRESS | _address | ) |
Checks if the instruction is indirect jump.
Definition at line 133 of file Opcode.cpp.
| bool Disassembler::IsInstRet | ( | ADDRESS | _address | ) |
Checks if the instruction is return instruction.
Definition at line 8 of file Opcode.cpp.
| bool Disassembler::IsValidInst | ( | int | address | ) |
The function checks whether there is an instruction in a given address using Capstone library.
| [in] | address | The address of the instruction |
Definition at line 39 of file Utilty.cpp.
Print the given instruction to the given log file.
| [in] | address | The address of the instruction that needs to be printed |
| [in] | _log_type | The given log file |
Definition at line 70 of file Utilty.cpp.
Print the details of a given instruction to the given log file.
| [in] | address | The address of the instruction that needs to be printed |
| [in] | _log_type | The given log file |
Definition at line 79 of file Utilty.cpp.
|
staticprivate |
The single unique object of this class
Definition at line 177 of file Disassembler.h.


| 8:30 - 9:00 | Breakfast | |||
| 9:00 - 10:00 |
Douglas Tait Real Time Communications on the Web |
Oleg Šelajev Unlocking the Magic of Monads in Java 8 |
Jarek Ratajski Doing WEB development clean way |
Maciej Świderski jBPM: The BPM Swiss Knife |
| 10:00 - 10:20 | Coffee break | |||
| 10:20 - 11:20 |
Tomasz Szymański & Jarosław Kijanowski Make and Conquer: Start making your own things |
Anton Arhipov Having fun with Javassist |
Stefano Gioia Java and Communications |
Ted Neward Busy Developer's Guide to Scala: Patterns |
| 11:20 - 11:30 | Break | |||
| 11:30 - 12:30 |
Roman Bosák Extinction of Dinosaurs -> Rise of Microservices |
Gleb Smirnov Java Concurrency Under the Hood |
Michael Heinrichs Do-It-Yourself Usability Design for Developers |
Andres Almiray Build, Test, and Deploy JavaFX Applications |
| 12:30 - 13:20 | Lunch Break | |||
| 13:20 - 14:20 |
Gerrit Grunwald "Catch me if you can" - Java on wearables |
Nikita Salnikov-Tarnovski I bet you have a memory leak |
Lukas Eder 2000 Lines of Java? Or 50 Lines of SQL? The Choice is Yours |
Lukáš Fryč One ring to... notify them all: Unified Push for Mobile Devices |
| 14:20 - 14:30 | Break | |||
| 14:30 - 15:30 |
Séven Le Mesle Predicting passenger fares from the users logs |
Nitsan Wakart The Illusion of Execution |
Miroslav Kopecky The Robot under dictate of the LegoMindStorm + Java Concurrency API: Let’s shift the future! |
Anton Epple How to develop Java apps for iOS, Android, FX and more in NetBeans |
| 15:30 - 15:50 | Coffee Break | |||
| 15:50 - 16:50 |
Bruce Eckel Do Languages Matter? |


Sommer Ray Flaunts Flawless Figure In Tight Jeans During ‘Golden Hour’
November 18, 2019
Sommer Ray Flaunts Flawless Figure In Tight Jeans During ‘Golden Hour’
Sommer Ray looks smoking hot in a pair of tight jeans for her latest Instagram photos, which were posted to her account on Sunday night.
Sommer shared a five-slide update, which featured her sporting the form-fitting denim with a skintight gray tank top and a red jacket. The outfit showcased the model’s long, lean legs, tiny waist, curvy hips, and gave fans a peek at her cleavage.
The social media stunner accessorized her look with a pair of calf-high snakeskin boots and a black belt.
Sommer’s long, blond hair was worn in a deep side part and styled in wild waves that fell down her back and cascaded over her shoulder. She also opted for a full face of makeup in the photos, which she reveals were taken during “golden hour.”
The model wore defined eyebrows, long lashes, and a bold pink eye shadow. She had a bronzed glow on her face and added pink blush to bring out her check bones.
Sommer appears to be standing on the balcony of a tall building as a gorgeous landscape and setting sun can be seen behind her.
Of course, Sommer’s more than 23 million followers fell in love with the snaps, which earned the model over 835,000 likes and more than 3,500 comments.
“I do love the view, but I mostly love to look at you,” one of Sommer’s Instagram followers wrote in the comments section of the post.
“So glad you never got breast implants. Lol you’re perfect,” another social media user stated.
“Best part of my day. Getting a notification from Sommer,” a third comment read.
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“Golden hour is whenever the notifications come through that Sommer Ray posted!” a fourth person gushed over the model.
Although the blond bombshell is mostly covered up in her most recently photos, fans know that she has no qualms about showing some major skin.
As previously reported by The Inquisitr, Sommer recently rocked Instagram with photos of herself sporting a tiny black-and-white spotted thong bikini.
In the snaps the model showcases her curvy booty as she leaves little to the imagination by wrapping a see-through netted skirt around her waist.
That update also proved to be wildly popular for Sommer as it has raked in over 1.4 million likes and more than 8,200 comments to date.


UI Router
Jason Stone
https://github.com/rolaveric
URL Routing
Mapping a URL to a combination of:
Controller
Template
Dependency Providers
$routeProvider demo
$route/$routeProvider short comings
Only 1 ng-view allowed
No hierarchy
ui-router to the rescue
Go forth, create good code, and enjoy it!
Jason Stone
https://github.com/rolaveric
Special Thanks to:
The AngularJS Team
The Angular UI Team
Nextgen.net
For preventing me from starving.
PS: May be hiring - jobs@nextgen.net


dojox.fx.easing function tests:
(click block to play animation, or
here to do all three
)
dojox.fx.easing.easeIn
dojox.fx.easing.easeOut
dojox.fx.easing.easeInOut
dojox.fx.easing is stand-alone, and does not require the dojox.fx base files.


Welcome to Health Helper
Our Purpose
We were inspired by a previous Girls Who Code final project called Pocket Doctor. However, we wanted to make our page more informative and be able to connect user with resources. We also wanted to make our website easier to manage so that anyone at any age could go in and use it.
About the Founders
Kelcey Lingat, Roshni Supur, Ali Shapiro, and Geila Vazquez are four teenage girls who learned to code through the Summer Immersion Program with Girls Who Code. Kelcey Lingat is 17 and is an incoming senior at Benjamin N. Cardozo High School. She wants to study Nursing at Hunter College. Roshni Surpur is 16 and an incoming junior at Choate Rosemary Hall. She wants to study Computer Science in Business for a role as product operations manager. Ali Shapiro is 16 and an incoming junior at John F. Kennedy High School in Bellmore, NY. She hopes to study Biology and Computer Science to find a way to merge the computer science and medical fields. Geila Vazquez is 17 and an incoming senior at The Academy of Finance and Enterprise. She wants to study Law and go to a four year college in the city.


Use text messaging to locate your book in the library stacks. Also, set up text message notifications for book recalls, overdues, pick-ups, and reminders.
From a book's reference in the catalog, click "Text this Record".
Learn how to use Zotero and Mendeley to sync your research sources across devices amongst groups.
EasyBib is a citation creator available online. It is available for iPhone and Android for scanning book bar codes.
Check out Fondren's Libguide on Research Paper Management for more info.
Automate due date reminders and bibliography creation on your phone with IFTTT.
Link your computer's internet browser with your library's catalog to discover accessible sources as you explore websites. Get Rice's Plugin.
Change your Google Scholar settings to include your institution's subscriptions for easier access to full text journal articles.
Go to scholar.google.com. Go to Settings > Library Links. Search for your institution, and log into your network account.
Here's a screenshot for reference:


--- layout: post title: no title date: '2015-05-21T19:30:34+02:00' categories: - Storyboards picture_url: https://film-Storyboards.tumblr.com/post/119562623764 ---


State transitions don't HAVE to always be done using ui-sref. You can initiate a state transition from a function in your controller if you want to by calling $state.go()


#{extends 'main.html'/} #{set title:'Home' /}
This Views were autogenerated by the Play! scaffold-module


--- title: Star Wars Baby Names Sad Plot 2.0 author: Alex Michel date: '2018-06-20' slug: star-wars-baby-names-sad-plot-2-0 categories: - blog tags: - baby names - R Markdown - sad plot - Star Wars description: Desc hacker_news_id: '' lobsters_id: '' meta_img: /images/image.jpg ---
knitr::opts_chunk$set(echo = TRUE)
library(babynames)
library(dplyr)
library(ggplot2)
library(tidyverse)
library(ggthemes)
library(plotly)
library(RColorBrewer)
star_wars <- babynames %>%
filter(name == "Leah" | name == "Leia" | name == "Padme") %>%
filter(year >= 1970) %>%
filter(sex == "F")
boy_names <- babynames %>%
filter(name == "Luke" | name == "Anakin" | name == "Han") %>%
filter(year >= 1970) %>%
filter(sex == "M")
plot <- ggplot(star_wars, aes(x = year,
y = prop,
group = name, sex,
color = name)) +
geom_line(size = 1) +
geom_line(data=boy_names, size = 1) +
geom_vline(xintercept = 1977, linetype="dashed",
color = "gray70", size=.8) +
geom_vline(xintercept = 1999, linetype="dashed",
color = "gray70", size=.8) +
geom_vline(xintercept = 2014, linetype="dashed",
color = "gray70", size=.8) +
annotate("text", x = 1980.5, y = 0.006, label = "Star Wars") +
annotate("text", x = 1993, y = 0.006, label = "Phantom Menace") +
annotate("text", x = 2008.5, y = 0.006, label = "Force Awakens") +
ggtitle("Does Star Wars Influence Baby Name Popularity?") +
xlab("Year") + ylab("Proportion of Baby Names") +
coord_cartesian(ylim = c(0, 0.006)) +
scale_color_discrete(name="Baby Names",
breaks=c("Luke","Leah","Leia", "Anakin", "Han", "Padme")) +
theme_minimal()
plot
This is a a very simple line graph.
This graph was pretty much my first time graphing anything in ggplot2!
The data came from the babynames package and the information for which Star Wars baby names to look for came from a Huffington Post article on the relative popularity of Star Wars inspired baby names.
Honestly there isn’t much of an intended audience for this one (me?). I think it could be most useful as an accompanying illustration for an article on the rising popularity of Star Wars baby names.
Do Star Wars inspired baby names become more popular after a new movie comes out?
Have Star Wars inspired baby names become “mainstream”? Do they have longterm staying power even years after a movie release?
The main components of the graph are time and proportion of baby names. As the proportion increases the line ascends vertically. The use of time on the x-axis allows us to see whether the change in proportion is associated with particular points in time when particular Star Wars movies were released.
Point out that the graph actually starts at 1970, 7 years before the first Star Wars was released. The reason for this is to give the viewer some context for the popularity of these names before the movies.
Point out that even though the name Leah sounds like Leia the spelling for Leah is pretty common. It’s also interesting that Leah seems to have experienced a bit of a spike in popularity around 2008 – not sure why.
An alternative to this line graph could be a bar graph – which would make it easier to see suddent changes associated with particular years.
This was pretty much the first time I’ve ever used ggplot2! I started off by copying Alison’s example and filtering the data for some simple name variations (Leah vs Leia) on spelling. I filtered by sex and year (only including years after Star Wars came out).
star_wars <- babynames %>%
filter(name == "Leah" | name == "Leia") %>%
filter(sex == "F") %>%
filter(year >= 1975)
plot <- ggplot(star_wars, aes(x = year,
y = prop,
group = name,
color = name)) +
geom_line(size = 2) +
geom_vline(xintercept = 1977, linetype="dashed",
color = "blue", size=1) +
geom_vline(xintercept = 1999, linetype="dashed",
color = "blue", size=1) +
geom_vline(xintercept = 2014, linetype="dashed",
color = "blue", size=1) +
annotate("text", x = 1980, y = 0.01, label = "Star Wars") +
annotate("text", x = 2004, y = 0.008, label = "Phantom Menace") +
annotate("text", x = 2009.5, y = 0.005, label = "Force Awakens")
plot
This is like, a really sad plot. But, it’s like basically my very first baby step. I think it is successful at communicating the intended information, but it’s really ugly. Most of my changes to this plot focused on improving the appearance.
I started off version 2.0 by adding more information (more names) to help see if there was really a general trend in naming. Then, I changed the colors, the line size, arranged the annotation text to be more consistent.
The main title, axis titles, and legend all needed some tweaking as well. I could have really kept playing with this (changing it to a bar plot or tweaking the theme) but I also wanted to keep it similar enough to the original sad plot that it was still comparable.


St. Albans blog contains information and independent reviews about living, shopping, eating and drinking in St. Albans. It's authored primarily by a man in his 30's who occasionally begs for posts from other local bloggers. No cash or other rewards have ever been received in an exchange for a review.
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