vignettes/EmpiricalPCalibrationVignette.Rmd
EmpiricalPCalibrationVignette.Rmd
In observational studies, there is always the possibility that an effect size estimate is biased. This can be true even for advanced, well thought out study designs, because of unmeasured or unmodeled confounding. Negative controls (test-hypotheses where the exposure is not believed to cause the outcome) can be used to detect the potential for bias in a study, and with enough negative controls we can start to estimate the systematic error distribution inherent in an observational analysis. We can then use this estimated distribution to compute a calibrated p-value, which reflects the probability of observing an effect size estimate when the null hypothesis (of no effect) is true, taking both systematic and random error into account.
In this document we will use an example study to illustrate how this can be done using the EmpiricalCalibration
R package. In the example, we will try to answer the question whether sertraline (an SSRI) causes GI bleeding. We use a Self-Controlled Case Series (SCCS) design, and have applied this to a large insurance claims database.
The results from this study are available in the package, and can be loaded using the data()
command:
data(sccs)
drugOfInterest <- sccs[sccs$groundTruth == 1, ]
drugOfInterest
## drugName groundTruth logRr seLogRr
## 6 Sertraline 1 0.7326235 0.07371708
exp(drugOfInterest$logRr)
## [1] 2.080532
computeTraditionalP(drugOfInterest$logRr, drugOfInterest$seLogRr)
## [1] 0
Here we see that the effect estimate for sertraline is 2.1, with a p-value that is so small R rounds it to 0.
Negative controls are drug-outcome pairs where we believe the drug does not cause (or prevent) the outcome. In other words, we believe the true effect size to be a relative risk of 1. We would prefer our negative controls to have some resemblance with out hypothesis of interest (in our example sertraline - GI bleed), and we therefore typically pick negative controls where the outcome is the same (exposure controls), or the exposure is the same (outcome controls). In this example, we have opted for exposure controls, and have identified a set of drugs not believed to cause GI bleed. We have executed exactly the same analysis for these exposures, resulting in a set of effect size estimates, one per negative control:
## drugName groundTruth logRr seLogRr
## 1 Thiothixene 0 0.4339021 0.7617538
## 2 Methocarbamol 0 0.6363184 0.1839892
## 4 Phentermine 0 0.9297549 0.2979802
## 5 Disulfiram 0 1.6919273 0.5955222
## 7 Orlistat 0 0.5261691 0.1967199
## 8 Prochlorperazine 0 0.8581890 0.1308460
We can start by creating a forest plot of our negative controls:
plotForest(negatives$logRr, negatives$seLogRr, negatives$drugName)
Here we see that many negative controls have a confidence interval that does not include a relative risk of 1 (orange lines), certainly more than the expected 5%. This indicates the analysis has systematic error.
We can use the negative controls to estimate the systematic error distribution. We assume the distribution is a Gaussian distribution, which we have found to give good performance in the past.
null <- fitNull(negatives$logRr, negatives$seLogRr)
null
## Estimated null distribution
##
## Estimate
## Mean 0.7920
## SD 0.2835
We see that the mean of our distribution is greater than 0, indicating the analysis is positively biased. We also see the standard deviation is greater than 0.25, indicating there is considerable variability in the systematic error from one estimate to the next.
To evaluate whether our estimation of the systematic error distribution is a good one, we can test whether the calibrated p-value is truly calibrated, meaning the fraction of negative controls with a p-value below alpha is approximately the same as alpha:
plotCalibration(negatives$logRr,negatives$seLogRr)
This method uses a leave-one-out design: for every negative control, the null distribution is fitted using all other negative controls, and the calibrated p-value for that negative control is computed.
In the graph we see that the calibrated p-value is much closer to the diagonal than the uncalibrated p-value.
We can create a graphical representation of the null distribution, together with the negative controls used to estimate that distribution:
plotCalibrationEffect(negatives$logRr,negatives$seLogRr, null = null)
In this graph, the blue dots represent the negative controls. Any estimates below the gray dashed lines will have a traditional p-value below .05. In contrast, only estimates that fall within the orange areas will have a calibrated p-value below .05.
We can now use the estimated null distribution to compute the calibrated p-value for our drug of interest:
p <- calibrateP(null, drugOfInterest$logRr, drugOfInterest$seLogRr)
p
## [1] 0.839405
In this case, the calibrated p-value is 0.84, meaning we have very little confidence we can reject the null hypothesis.
A visual representation of the calibration makes it clear why we are no longer certain we can reject the null hypothesis:
plotCalibrationEffect(negatives$logRr,
negatives$seLogRr,
drugOfInterest$logRr,
drugOfInterest$seLogRr,
null)
In this plot we see that, even though the drug of interest (the yellow diamond) has a high relative risk, it is indistinguishable from our negative controls.
Depending on how much information we have in terms of number of negative controls, or precision of those negative controls, we will be more or less certain about the parameters of the null distribution and therefore about the calibrated p-value. To estimate our uncertainty we can compute the 95% credible interval using Markov Chain Monte Carlo (MCMC). We can apply the fitMcmcNull
function for this purpose:
null <- fitMcmcNull(negatives$logRr, negatives$seLogRr)
null
## Estimated null distribution (using MCMC)
##
## Estimate lower .95 upper .95
## Mean 0.79071 0.67243 0.9081
## Precision 11.93550 6.07691 23.2524
##
## Acceptance rate: 0.328356716432836
We see that there is uncertainty around the estimates of the mean and precision (= 1/SD^2), as expressed in the 95% credible intervals. This uncertainty can be reduced by either increasing the number of negative controls, or by increasing the power for the existing controls (e.g. by waiting for more data to accumulate).
The acceptance rate of the MCMC seems reasonable (ideal values are typically between 0.2 and 0.6), but we can investigate the trace just to be sure:
plotMcmcTrace(null)
For both variables the trace should look like ‘random noise’, as is the case above. When we see auto-correlation, meaning that one value of the trace depends on the previous value of the trace, the MCMC might not be reliable and we should not trust the 95% credible interval.
We can use the new null object to compute the calibrated p-value as well as the 95% credible interval:
p <- calibrateP(null, drugOfInterest$logRr, drugOfInterest$seLogRr)
p
## p lb95ci ub95ci
## 1 0.8365514 0.547261 0.9915465
Note that there is uncertainty around the calibrated p-value as expressed in the 95% credible interval.
We can also visualize the uncertainty in the p-value calibration by plotting the 95% credible interval of the boundary where calibrated p = 0.05, here indicated by the red band:
plotCalibrationEffect(negatives$logRr,
negatives$seLogRr,
drugOfInterest$logRr,
drugOfInterest$seLogRr,
null,
showCis = TRUE)
citation("EmpiricalCalibration")
##
## To cite EmpiricalCalibration in publications use:
##
## Schuemie MJ, Ryan PB, DuMouchel W, Suchard MA, Madigan D (2013).
## "Interpreting observational studies: why empirical calibration is
## needed to correct p-values." _Statistics in Medicine_, *33*(2),
## 209-218. <URL: http://dx.doi.org/10.1002/sim.5925>.
##
## Schuemie MJ, Hripcsak G, Ryan PB, Madigan D, Suchard MA (2018).
## "Empirical confidence interval calibration for population-level effect
## estimation studies in observational healthcare data." _Proc. Natl.
## Acad. Sci. U.S.A._, *115*(11), 2571-2577. <URL:
## https://doi.org/10.1073/pnas.1708282114>.
##
## To see these entries in BibTeX format, use 'print(<citation>,
## bibtex=TRUE)', 'toBibtex(.)', or set
## 'options(citation.bibtex.max=999)'.


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Data Generation
This section reviews the data generation process of MINOS from raw Understanding Society Stata files to final data used directly in MINOS and transitions.
Raw Formatting
take raw stata files for US and make them more readable. change variable names from data codes e.g. ‘jobstat_dv’ to ‘labour_state’. change integer code variables to strings. For example labour state provides integer values 1-9 that aren’t readable. Labour state ‘Employed’ is better than labour state 3. Merges individual response (indresp) and household response (hhresp) datasets together. Need variables from both for analysis done simply using a left merge on household IDs.
Missing Data Correction
there are a lot of missing data in US. Some of these data are missing deterministically. Individuals that are unemployed are registered as having a missing salary. Their salary is not missing and is technically 0. There are many logical operations like this to correct data that are not actually missing. US data also uses last observation carried forward formatting. Some attributes are only registered if they change values and are otherwise registered as missing. For example a persons ethnicity is registered as they enter the dataset but is immutable and never updates. For future observations this value is incorrectly recorded as missing. The last observation carried forwards (LOCF) imputation algorithm is used to fill in these missing values using previous time values. Some variables are not immutable such as age and require more elaborate imputation. For age it is simply linear imputation but more complex methods can be used.
Composites
Some US variables are not useful in the MINOS framework. For one pathway we are particularly interested in changes to household disposable income. However US features different variables such as gross household income and council tax payments that are used to derive the desired household disposable income. These composite variables are derived in this step.
Complete Case
What observations are removed from complete case analysis.
The missing data correction stage above cannot remove all missing data. Some variables require complete columns with no missing values for MINOS to run. In this stage complete case missing correction is used to remove any individual observations from the data with missing values in a subset of critical columns. This is a fast but naive way of preparing a complete dataset for MINOS.
Replenishment
How is the replenishing population generated.


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Update: The code used for this tutorial is now available on GitHub! Peruse, fork, and clone as you see fit.
As part of my lifelong study of REST APIs I have been learning more about avoiding shared state between the client and server. This week in particular I have been learning about stateless authentication and attempting to implement it in a skeleton Java app based on my Jersey on Google AppEngine tutorial.
Overview
The REST architectural style is interesting to me, but that alone is not why I want to implement a stateless authentication mechanism. Benefits that Roy Fielding states in his dissertation include reliability and scalability. When building a web application, reliability is important no matter how many users you have. Scalability is also important for even a meager number of users.
Another benefit of statelessness when building a RESTful web application that is important to me is testability. It is much easier to test endpoints without first having to go through a workflow to establish a session and then end that session after the test to ensure the tests are isolated. This will probably result in time savings during the development of the app as well.
One of the downsides of statelessness is that it requires some form of token or credential to be supplied with every request to the server, which can be a performance penalty. JWT (JSON Web Tokens) are a means of offering stateless authentication in a compact and secure way. JSON Web Tokens can be used to thwart cross-site request forgery attempts and there are plenty of JWT libraries out there as well.
While there may be a performance penalty to stateless authentication, I think the compactful, secure, easy-to-use JWT balances out that con quite nicely. Another benefit of JWT is that it does not require the use of cookies, which makes server-to-server authentication more convenient.
Where to Begin
I set out to use Spring Security because it is very customizable and is usually not very invasive to the rest of your web application. I also have a lot of experience with it so it’s typically a good place for me to start when looking into any new security-related solutions.
Spring Security does offer its own approach to JWT too, but I decided not to use it because until recently it had not seen much activity. Instead, I chose to use JJWT, which provides a brilliant fluent interface for using JSON Web Tokens.
After choosing my tech stack for this little project I perused the Internet to see if anyone had already accomplished what I was setting out to do. I found this JDriven article by Robbert van Waveren that comes pretty darn close. It turned out to be a great starting point!
The code provided below is an adaptation of Robbert’s tutorial to use JWT. I made some small changes to bootstrap the app in a Google AppEngine app instead of using Spring Boot so I’ll point out those differences as well.
Code Time!
First things first, let’s pull in the Maven dependencies for Spring Security and JJWT.
pom.xml
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<dependency>
<groupId>org.springframework.security</groupId>
<artifactId>spring-security-web</artifactId>
<version>3.2.5.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework.security</groupId>
<artifactId>spring-security-config</artifactId>
<version>3.2.5.RELEASE</version>
</dependency>
<dependency>
<groupId>io.jsonwebtoken</groupId>
<artifactId>jjwt</artifactId>
<version>0.4</version>
</dependency>
Since I’m using a Servlet 2.5 container running in Google AppEngine, I’ll have to configure the Spring Security filter in web.xml too.
web.xml
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<context-param>
<param-name>contextClass</param-name>
<param-value>
org.springframework.web.context.support.AnnotationConfigWebApplicationContext
</param-value>
</context-param>
<context-param>
<param-name>contextConfigLocation</param-name>
<param-value>
com.technicalrex.skeleton.vendor.SpringSecurityConfig
</param-value>
</context-param>
<filter>
<filter-name>springSecurityFilterChain</filter-name>
<filter-class>org.springframework.web.filter.DelegatingFilterProxy</filter-class>
</filter>
<filter-mapping>
<filter-name>springSecurityFilterChain</filter-name>
<url-pattern>/*</url-pattern>
<dispatcher>REQUEST</dispatcher>
</filter-mapping>
<listener>
<listener-class>org.springframework.web.context.ContextLoaderListener</listener-class>
</listener>
Now that Spring Security is bootstrapping I need to define the SpringSecurityConfig. This class will declare any security-related Spring beans and configure the base HTTP filter to secure the web application.
SpringSecurityConfig.java
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@Configuration
@EnableWebSecurity
@Order(2)
public class SpringSecurityConfig extends WebSecurityConfigurerAdapter {
private final UserService userService;
private final TokenAuthenticationService tokenAuthenticationService;
public SpringSecurityConfig() {
super(true);
this.userService = new UserService();
tokenAuthenticationService = new TokenAuthenticationService("tooManySecrets", userService);
}
@Override
protected void configure(HttpSecurity http) throws Exception {
http
.exceptionHandling().and()
.anonymous().and()
.servletApi().and()
.headers().cacheControl().and()
.authorizeRequests()
// Allow anonymous resource requests
.antMatchers("/").permitAll()
.antMatchers("/favicon.ico").permitAll()
.antMatchers("**/*.html").permitAll()
.antMatchers("**/*.css").permitAll()
.antMatchers("**/*.js").permitAll()
// Allow anonymous logins
.antMatchers("/auth/**").permitAll()
// All other request need to be authenticated
.anyRequest().authenticated().and()
// Custom Token based authentication based on the header previously given to the client
.addFilterBefore(new StatelessAuthenticationFilter(tokenAuthenticationService),
UsernamePasswordAuthenticationFilter.class);
}
@Override
protected void configure(AuthenticationManagerBuilder auth) throws Exception {
auth.userDetailsService(userDetailsService()).passwordEncoder(new BCryptPasswordEncoder());
}
@Bean
@Override
public AuthenticationManager authenticationManagerBean() throws Exception {
return super.authenticationManagerBean();
}
@Bean
@Override
public UserService userDetailsService() {
return userService;
}
@Bean
public TokenAuthenticationService tokenAuthenticationService() {
return tokenAuthenticationService;
}
}
There are a number of important details in this class that are worth understanding:
- In the constructor, disable the default security configuration.
- In the constructor the string “tooManySecrets” should be replaced with a value private to your application and ideally loaded from a property file.
- Anonymous access is allowed but authorization will happen on all HTTP requests.
- Prevent the browser/client from caching responses.
- Allow anonymous access to all static resources (HTML, CSS, JS, etc.).
- Also allow anonymous access to login attempts (this assumes logins are managed under /auth).
- Authentication must occur on requests to all other resources.
- A single filter will be used to authenticate all requests that require authentication.
This configuration shows that there are a handful of other classes needed in order to implement stateless authentication. The filter is where the actual authentication is managed though so let’s look at that one first.
StatelessAuthenticationFilter.java
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public class StatelessAuthenticationFilter extends GenericFilterBean {
private final TokenAuthenticationService authenticationService;
public StatelessAuthenticationFilter(TokenAuthenticationService authenticationService) {
this.authenticationService = authenticationService;
}
@Override
public void doFilter(ServletRequest request, ServletResponse response, FilterChain filterChain)
throws IOException, ServletException {
HttpServletRequest httpRequest = (HttpServletRequest) request;
Authentication authentication = authenticationService.getAuthentication(httpRequest);
SecurityContextHolder.getContext().setAuthentication(authentication);
filterChain.doFilter(request, response);
SecurityContextHolder.getContext().setAuthentication(null);
}
}
There’s not much here because this filter actually delegates to TokenAuthenticationService
. All this filter really does is apply the successful authentication to Spring Security’s context holder and then proceed with the request.
Okay, let’s dig a little deeper and look at TokenAuthenticationService
.
TokenAuthenticationService.java
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public class TokenAuthenticationService {
private static final String AUTH_HEADER_NAME = "X-AUTH-TOKEN";
private final TokenHandler tokenHandler;
public TokenAuthenticationService(String secret, UserService userService) {
tokenHandler = new TokenHandler(secret, userService);
}
public void addAuthentication(HttpServletResponse response, UserAuthentication authentication) {
final User user = authentication.getDetails();
response.addHeader(AUTH_HEADER_NAME, tokenHandler.createTokenForUser(user));
}
public Authentication getAuthentication(HttpServletRequest request) {
final String token = request.getHeader(AUTH_HEADER_NAME);
if (token != null) {
final User user = tokenHandler.parseUserFromToken(token);
if (user != null) {
return new UserAuthentication(user);
}
}
return null;
}
}
This is where things start to become more clear about how authentication will actually work! When a user successfully logs into the web application, the first public method of this class will be called to create a token for that user. That token is then added as a header with the key “X-AUTH-TOKEN” to the outbound response.
The authentication filter is calling getAuthentication(...)
though, which looks for a header that uses the same key “X-AUTH-TOKEN” and uses that token to re-establish the authenticating user. If this method throws an exception or returns null
then the user will not be authenticated and the request will ultimately fail.
Robbert’s article conveniently delegated the token generation and parsing to yet another class to isolate that logic. My implementation of TokenHandler
uses JJWT to manage a JSON Web Token. Here’s what it looks like:
TokenHandler.java
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public final class TokenHandler {
private final String secret;
private final UserService userService;
public TokenHandler(String secret, UserService userService) {
this.secret = secret;
this.userService = userService;
}
public User parseUserFromToken(String token) {
String username = Jwts.parser()
.setSigningKey(secret)
.parseClaimsJws(token)
.getBody()
.getSubject();
return userService.loadUserByUsername(username);
}
public String createTokenForUser(User user) {
return Jwts.builder()
.setSubject(user.getUsername())
.signWith(SignatureAlgorithm.HS512, secret)
.compact();
}
}
This is where the magic of JJWT happens. In a single chain of calls to its fluent API, JJWT will create a token using the subject of our choosing (username) and sign it using the application’s secret key. All of the other work of generating appropriately structured JSON according to the even more specific JWT specification, Base 64 encoding, and compaction are all taken care of behind the scenes.
The reverse is true too. JJWT can also use a secret key to fully decode and parse a JSON Web Token and provide an object that we can use to later retrieve the subject (username) needed to verify the presence of a real user.
The only remaining classes are nothing special (they’ll be needed in many Spring Security applications that involve a user login) so I will provide them below for completeness.
UserService.java
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public class UserService implements org.springframework.security.core.userdetails.UserDetailsService {
private final AccountStatusUserDetailsChecker detailsChecker = new AccountStatusUserDetailsChecker();
private final HashMap<String, User> userMap = new HashMap<String, User>();
@Override
public final User loadUserByUsername(String username) throws UsernameNotFoundException {
final User user = userMap.get(username);
if (user == null) {
throw new UsernameNotFoundException("user not found");
}
detailsChecker.check(user);
return user;
}
public void addUser(User user) {
userMap.put(user.getUsername(), user);
}
}
This implementation of Spring Security’s UserDetailsService
is for demonstration purposes only! It uses a map to maintain the set of available users and it isn’t even thread safe. If you are using this tutorial you will most certainly want to replace this with a user lookup service that uses a database, LDAP, or some other more legitimate means of keeping track of users.
UserAuthentication.java
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public class UserAuthentication implements Authentication {
private final User user;
private boolean authenticated = true;
public UserAuthentication(User user) {
this.user = user;
}
@Override
public String getName() {
return user.getUsername();
}
@Override
public Collection<? extends GrantedAuthority> getAuthorities() {
return user.getAuthorities();
}
@Override
public Object getCredentials() {
return user.getPassword();
}
@Override
public User getDetails() {
return user;
}
@Override
public Object getPrincipal() {
return user.getUsername();
}
@Override
public boolean isAuthenticated() {
return authenticated;
}
@Override
public void setAuthenticated(boolean authenticated) {
this.authenticated = authenticated;
}
}
This class implements Spring Security’s Authentication
interface, which is how Spring ties users, authorities/roles, principals, credentials, and authentication status together. The implementation above always assumes the user is authenticated and delegates the rest to Spring Security’s own User
class.
Conclusion
Robbert van Waveren’s article saved me from a lot of the grunt work of configuring Spring Security to handle stateless authentication. Swapping out his own HMAC signing code with the one-liners offered up by JJWT helped me cut out a lot of code and use a full-blown JWT implementation as well!
All in all, this is probably one of the smallest Spring Security implementations that I have done. I don’t know why I didn’t try this out sooner!


{% extends "layout.html" %} {% block page_title %} Blank page {% endblock %} {% block content %} {% block phase_banner %} {% include "includes/phase_banner_alpha.html" %} {% endblock %} Home Companies House Forms Strike off a company from the register (DS01) Company Directors Templeton Metal Work Limited has the following director listed on the public register. David Arthur Templeton Do you wish to authorise this application on behalf of the director listed above? Are you the sole director listed above? Yes No To apply to close this company we will need to know your details to help the director recognise your request. We'll also contact you through the email address used with this account. Your full name Phone number {% endblock %}
Templeton Metal Work Limited has the following director listed on the public register.
Do you wish to authorise this application on behalf of the director listed above?
To apply to close this company we will need to know your details to help the director recognise your request. We'll also contact you through the email address used with this account.


This utility allows you to find a Anytime Fitness Club of your choice, the nearest public transport services and the two-hour weather forecast. To access the features of the utility, please click on the Menu icon to the left of the screen.


Previous Demo
Back to the Codrops Article
BookBlock
A Content Flip Plugin
Demo 1
Demo 2
Demo 3
Demo 4
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RTL Support
Illustrations by
Kevin Howdeshell
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What are Content Types?
Content types combine the look and feel ( Configuration) to editable content fields ( Metadata Set and Data Definition) so non-technical users can create and edit pages.
In order to create a Content Type you must first setup a Configuration, Metadata Set, and determine if you want to use a WYSIWYG or a Data Definition. These items can be modified after they are linked to a Content Type.
Xavier Example:
Staying with our Content Page example, we tie the Content Page DD, our default Metadata Set and Content Configuration to be able to output the proper content.
Content Type Settings
- Name: V5 Content Page Content Type
- Configuration: Content Configuration
- Metadata Set: Default
- Type of Content: Data Definition
- Data Definition: Content Page
Creating a Content Type
- Navigate to Manage Site > Content Types
- Add a new Configuration using Add > Content Type. You may also want to add a new container, depending on the architecture desired.
- Enter the Name and select the Parent Container, as desired.
- In the Settings Tab, select the following
- Configuration
- Metadata Set
- Type of Content - Either Data Definition or WYSIWYG
- Data Definitions need to be defined before this can be used.
- The WYSIWYG option will put in a basic WYISWYG item with no additional fields
- Submit.
Additional options are available but are not used by Xavier at this time and information on those can be found on the Cascade CMS Content Type Knowledge Base article.


About Me, About Seattle
about Seattle
- Named for the Chief of the local indigenous people.
- Located in Puget Sound.
- Close to two mountain ranges and the Pacific Ocean.
- Largest city in Washinton state.
about Kathleen
- Born in Seattle to Irish immigrants.
- Graduated from Bishop Blanchet High School and University of Washington
- Tried to move away. :(


|
BL3 SDK
0.0.1
Borderlands 3 Class Documentation
|
#include <BL3_OakGame_classes.hpp>
Static Public Member Functions | |
| static UClass * | StaticClass () |
| Static Public Member Functions inherited from UObject | |
| static FChunkedFixedUObjectArray & | GetGlobalObjects () |
| template<typename T > | |
| static T * | FindObject (const std::string &name) |
| static UClass * | FindClass (const std::string &name) |
| template<typename T > | |
| static T * | GetObjectCasted (std::size_t index) |
| static UClass * | StaticClass () |
Public Attributes | |
| unsigned char | UnknownData00 [0x8] |
| Public Attributes inherited from UObject | |
| void * | VTableObject |
| int32_t | ObjectFlags |
| int32_t | InternalIndex |
| class UClass * | Class |
| FName | Name |
| class UObject * | Outer |
Additional Inherited Members | |
| Static Public Attributes inherited from UObject | |
| static FUObjectArray * | GObjects |
| void K2_OnBeginPlayEvent | ( | class ATedioreProjectile * | Projectile | ) |
| void K2_OnBounceEvent | ( | class ATedioreProjectile * | Projectile | ) |
| void K2_OnEndPlayEvent | ( | class ATedioreProjectile * | Projectile | ) |
| void K2_OnExplodeEvent | ( | class ATedioreProjectile * | Projectile | ) |
| void K2_OnFireWeaponEvent | ( | class ATedioreProjectile * | Projectile | ) |
| void K2_OnImpactEvent | ( | class ATedioreProjectile * | Projectile, |
| const struct FHitResult & | HitResult | ||
| ) |
| void K2_OnInitializedEvent | ( | class ATedioreProjectile * | Projectile | ) |
| void K2_OnLastBounceEvent | ( | class ATedioreProjectile * | Projectile | ) |
| void K2_OnProjectileBeginPlay | ( | class ATedioreProjectile * | Projectile | ) |
| void K2_OnProjectileBounce | ( | class ATedioreProjectile * | Projectile | ) |
| void K2_OnProjectileEndPlay | ( | class ATedioreProjectile * | Projectile | ) |
| void K2_OnProjectileExplode | ( | class ATedioreProjectile * | Projectile | ) |
| void K2_OnProjectileFireWeapon | ( | class ATedioreProjectile * | Projectile | ) |
| void K2_OnProjectileImpact | ( | class ATedioreProjectile * | Projectile, |
| const struct FHitResult & | HitResult | ||
| ) |
| void K2_OnProjectileInitialized | ( | class ATedioreProjectile * | Projectile | ) |
| void K2_OnProjectileLastBounce | ( | class ATedioreProjectile * | Projectile | ) |
|
inlinestatic |
| unsigned char UnknownData00[0x8] |


{{msg}}
Damn Vulnerable GraphQL Application, or DVGA, is a lab simulator of an application running GraphQL, to test and learn by experimenting with a weak implementation.
If you aren't yet familiar with GraphQL, see the GraphQL Resources section below. Otherwise, start poking around and find loopholes! There are GraphQL Implementation flaws as well as general application vulnerabilities.
To learn about GraphQL, and common GraphQL weaknesses and attacks, the following resources may be beneficial:
Head over to the Solutions page to reveal the challenge answers.
Found a bug? submit an issue on GitHub.


This is the official AtomicDEX mobile beta program channel -
Android: https://play.google.com/store/apps/details?id=com.komodoplatform.atomicdex - iOS: https://testflight.apple.com/join/c2mOLEoC - Please use https://github.com/KomodoPlatform/atomicdex/issues for bug reports and feature requests. For critical security bug reports please do send us your encrypted (https://pgp.mit.edu/pks/lookup?op=get&search=0x379287998EE6CF47) report to<EMAIL_ADDRESS>and allow up to 24h for reply. For atomicDEX API (mm2) related issue reports or feature requests please do use https://github.com/KomodoPlatform/atomicDEX-API/issues
Between 05-Jan-20 12:00 AM and 06-Jan-20 12:00 AM
CiPhEr05-Jan-20 12:24 AM
question- when placing a trade on atomicdex, it looks like the transaction fee for a coin is not dependent on the amount traded, however the trading fee goes up in relation to amount listed.
I'm assuming this trading fee, upon listing an offer for sale on the dex, is for full amount being sold. So, if a taker chooses to trade for say, only half the amount I have listed, this trading fee for this transaction would be half as well, right?
Also- It appears the transaction fee is based solely on the coin being sold by the maker and has nothing to do with what coin it is being paid for by the taker, correct?(edited)
cipi05-Jan-20 02:54 AM
@J.J. problem with AXE identified: for some reason AXE-transactions can take a very long time to propagate to the mempool of other nodes (AtomicDEX waited 50s then gave up)... problem "solved" by directly connecting the wallet of the maker node with the ones from the electrums... but this is more a AXE problem, then a AtomicDEX problem, txs should not take that long to make it into the mempool of other nodes
@CiPhEr the transaction fee is the normal network fee for the involved chains and not dependent on the amount
trading fee (dexfee) is 1/777 of the takercoin amount (maker pays no dexfee)
this also means: coins with high txfees (BTC, often ERC20) should be swapped in bigger amounts, else txfee can be a significant part of traded amount
one other question- say my phone loses connection, how long do i have to get it back online and go back into adex if i am in the middle of a swap to have it complete?
and if i don't make it in time, the locked transaction goes back into my wallet at a certain time?
dan.05-Jan-20 03:09 AM
Can I suggest at the very least having the option to disable in settings.
The reason being is that in its current state atomicdex cannot be used for dust
cipi05-Jan-20 03:09 AM
that also depends on the involved coins, not sure though
i think with BTC and BCH you have more time to get back online and ccontinue the swap
if the swap fails (timeouts or other error) and if funds were already been sent, they are refunded
the time also depends on the chains... here i am sure that it is that way, but not how long the times are exactly... 4h or something like that
CiPhEr05-Jan-20 03:10 AM
ok thanks
cipi05-Jan-20 03:12 AM
@dan. don't know how much sense it makes to send small amounts and pay a higher fee then the transferred amount... better "collect" the dust
dan.05-Jan-20 03:13 AM
Sure in the instances where it makes sense to. But in its current form of 0.00777 that isn't always the case depending on the crypto
I know this is an edge case but it would likely increase usage a little bit if people could dust out their wallets with atomicdex
cipi05-Jan-20 03:14 AM
sure, the fixed 0.00777 was/is just a quickfix and will be changed
dan.05-Jan-20 03:15 AM
Alright. I get the safegaurd, but it would be good to see it changed
Thanks for answering
vogelfreund8805-Jan-20 09:41 AM
When we will see support of defi erc 20s like rlc,Zrx,knc,mkr and so on...in the AtomicDEX?
Cryptoon05-Jan-20 10:08 AM
Think some of them already added to backend
Once they apply for lising on atomicdex they can be listed
criptobear05-Jan-20 10:20 AM
When I open AtomicDex the sound of metal coins never stops playing, I'm on Android
Acura05-Jan-20 10:28 AM
click on settings and disable full sounds, then you can also mute the sound via Soundbutton on your phone @criptobear
Documentation for developers building on the Komodo Platform
Acura05-Jan-20 02:29 PM
It would be great if the wallet actually told the user that this was the problem instead of telling to try later if a user wants to withdraw BTC to an Segwit Adress.
Bitfinger05-Jan-20 03:44 PM
Imo it would be better if segwit was supported as it would be more compatible and potentially reduce fees for trading and deposit/withdrawal
PTYX05-Jan-20 03:47 PM
I think the team will add segwit in the future
1
Bitfinger05-Jan-20 04:00 PM
If you also add custom TX fees I think it could be a very competitive multi-coin mobile wallet as well as a Dex. Looking at Dexstats it seems btc/kmd has the most volume so it should be seriously considered
coin parameters and all files needed for GUI support - jl777/coins
you can also use custom fees with the API on withdraw... there are also some fee handling things WIP so this will improve in the future... just have a look at the issues with the word "fee" in the name: https://github.com/KomodoPlatform/atomicDEX-API/issues
Trying to withdraw TUSD and it shows "not a valid address", I have tried to several addresses with the same result.
polycryptoblog05-Jan-20 08:35 PM
Are you using mixed case?
marktyler05-Jan-20 09:08 PM
@PTYX have an atomic dex issue, tried to make a swap with kmd. It timed out after an hour. Komodo never refunded back to me. Suggestions?
PTYX05-Jan-20 10:28 PM
I'm not entirely sure how to fix failed swaps if the kmd wasn't returned. Do you have a transaction ID? @marktyler
cipi05-Jan-20 10:46 PM
there are no infos about this swap uuid on the seed nodes
you need to look in the logfiles on your device
are you sure that anything was sent?
dexfee is not refunded, only MakerPayment and TakerPayment
you can now lookup the errors that happened with a swap with this link: http://dexapi.cipig.net:8080/public/error.php?uuid=c65d9539-11ec-4d35-8d02-eb3f3ed2aa52 (if there is anything on the seed nodes)
smk76205-Jan-20 11:18 PM
@Ignacio Figueroa (TheWalk_er) to get the checksummed version of your erc20 address, search for it at https://etherscan.io/
then copy what is returned.
e.g. if you search for 0x331953f1fd954af6c162a3243809337fd938272d it will display as 0x331953F1fD954AF6c162A3243809337fd938272D


Bayern turn down Wenger for vacant manager’s post
MUNICH, Nov 8 — Bayern Munich have turned down an approach from Arsene Wenger to take over the vacant manager’s position following the sacking of Niko Kovac, the German champions said yesterday.
“Arsene Wenger called (Bayern chairman) Karl-Heinz Rummenigge on Wednesday afternoon to make him aware of his interest in the job,” a Bayern spokesperson told AFP subsidiary SID.
“Bayern appreciates Wenger’s work at Arsenal, but he is not being considered as coach.”
Kovac was dismissed at the weekend following a poor run of form that culminated in a 5-1 thrashing at the hands of Eintracht Frankfurt, Bayern’s worst Bundesliga defeat in a decade and one which left them fourth in the table.
Kovac’s assistant Hansi Flick has taken over as interim coach as Bayern search for a more permanent replacement, with club president Uli Hoeness saying on Tuesday they expected to name Kovac’s successor by November 23.
However they have been publicly rebuffed by both Paris Saint-Germain boss Thomas Tuchel and Ajax’s Erik ten Hag, who said on Monday he would be staying with the Dutch champions until at least the end of the season. — AFP


Make changes to your tag config. A checked field indicates it is part of the tag config. You can add new fields and/or remove existing ones from the tag config. You can also edit the included, excluded URIs, and refresh frequency. When you are done, click Save Changes.


reboot
Section: Maintenance Commands (8)Updated: 2009-07-09
Index Return to Main Contents
NAME
reboot, halt, poweroff - reboot or stop the systemSYNOPSIS
reboot [OPTION]...halt [OPTION]...
DESCRIPTION
These programs allow a system administrator to reboot, halt or poweroff the system.When called with --force or when in runlevel 0 or 6, this tool invokes the reboot(2) system call itself and directly reboots the system. Otherwise this simply invokes the shutdown(8) tool with the appropriate arguments.
Before invoking reboot(2), a shutdown time record is first written to /var/log/wtmp
OPTIONS
- -f, --force
- Does not invoke shutdown(8) and instead performs the actual action you would expect from the name.
- -p, --poweroff
- Instructs the halt command to instead behave as poweroff.
- -w, --wtmp-only
- Does not call shutdown(8) or the reboot(2) system call and instead only writes the shutdown record to /var/log/wtmp
- --verbose
- Outputs slightly more verbose messages when rebooting, useful for debugging problems with shutdown.
ENVIRONMENT
- RUNLEVEL
- reboot will read the current runlevel from this environment variable if set in preference to reading from /var/run/utmp
FILES
- /var/run/utmp
- Where the current runlevel will be read from; this file will also be updated with the runlevel record being replaced by a shutdown time record.
- /var/log/wtmp
- A new runlevel record for the shutdown time will be appended to this file.
AUTHOR
Written by Scott James Remnant<EMAIL_ADDRESS>BUGS
Report bugs at <https://launchpad.net/upstart/+bugs>COPYRIGHT
Copyright © 2009 Canonical Ltd.This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
SEE ALSO
shutdown(8) telinit(8) runlevel(8)
Index
This document was created by man2html, using the manual pages.
Time: 05:34:26 GMT, December 24, 2015


public abstract class Collection<E> extends Iterable<E>
Collection
is the root of the collection hierarchy. It defines operations on data collections and the
behavior that they will have in all implementations of Collection
s.
All direct or indirect implementations of Collection
should implement at least two constructors. One with no
parameters which creates an empty collection and one with a parameter of type Collection
. This second
constructor can be used to create a collection of different type as the initial collection but with the same
elements. Implementations of Collection
cannot be forced to implement these two constructors but at least all
implementations under java.util
do.
Methods that change the content of a collection throw an UnsupportedOperationException
if the underlying
collection does not support that operation, though it's not mandatory to throw such an Exception
in cases
where the requested operation would not change the collection. In these cases it's up to the implementation whether
it throws an UnsupportedOperationException
or not.
Methods marked with (optional) can throw an UnsupportedOperationException
if the underlying collection
doesn't support that method.
A subclass must implement the abstract methods iterator()
and size()
to create an immutable
collection. To create a modifiable collection it's necessary to override the add()
method that currently
throws an UnsupportedOperationException
.
Changes from the java.lang version:
| Modifier | Constructor and Description |
|---|---|
protected |
Collection()
Constructs a new instance of this AbstractCollection.
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
add(E object)
Attempts to add
object to the contents of this Collection (optional). |
boolean |
addAll(Collection<? extends E> collection)
Attempts to add all of the objects contained in
Collection to the contents of this Collection
(optional). |
void |
clear()
Removes all elements from this
Collection , leaving it empty (optional). |
boolean |
contains(E object)
Tests whether this
Collection contains the specified object. |
boolean |
containsAll(Collection<E> collection)
Tests whether this
Collection contains all objects contained in the specified Collection . |
boolean |
isEmpty()
Returns if this
Collection contains no elements. |
abstract Iterator<E> |
iterator()
Returns an instance of
Iterator that may be used to access the objects contained by this Collection . |
boolean |
remove(E object)
Removes one instance of the specified object from this
Collection if one is contained (optional). |
boolean |
removeAll(Collection<E> collection)
Removes all occurrences in this
Collection of each object in the specified Collection (optional). |
boolean |
retainAll(Collection<E> collection)
Removes all objects from this
Collection that are not also found in the Collection passed
(optional). |
abstract int |
size()
Returns a count of how many objects this
Collection contains. |
java.lang.Object[] |
toArray()
Returns a new array containing all elements contained in this
Collection . |
void |
toArray(E[] contents)
Copies all elements contained in this
Collection to the specified array. |
java.lang.String |
toString()
Returns the string representation of this
Collection . |
protected Collection()
public boolean add(E object)
object
to the contents of this Collection
(optional).
After this method finishes successfully it is guaranteed that the object is contained in the collection.
If the collection was modified it returns true
, false
if no changes were made.
An implementation of Collection
may narrow the set of accepted objects, but it has to specify this in the
documentation. If the object to be added does not meet this restriction, then an IllegalArgumentException
is thrown.
If a collection does not yet contain an object that is to be added and adding the object fails, this method
must throw an appropriate unchecked Exception. Returning false is not permitted in this case because it
would violate the postcondition that the element will be part of the collection after this method finishes.object
- the object to add.true
if this Collection
is modified, false
otherwise.java.lang.UnsupportedOperationException
- if adding to this Collection
is not supported.java.lang.ClassCastException
- if the class of the object is inappropriate for this collection.java.lang.IllegalArgumentException
- if the object cannot be added to this Collection
.java.lang.NullPointerException
- if null elements cannot be added to the Collection
.public boolean addAll(Collection<? extends E> collection)
Collection
to the contents of this Collection
(optional). If the passed Collection
is changed during the process of adding elements to this Collection
, the behavior is not defined.
The default implementation iterates over the given Collection
and calls add
for each element. If
any of these calls return true
, then true
is returned as result of this method call, false
otherwise. If this Collection
does not support adding elements, an UnsupportedOperationException
is thrown.collection
- the Collection
of objects.true
if this Collection
is modified, false
otherwise.java.lang.UnsupportedOperationException
- if adding to this Collection
is not supported.java.lang.ClassCastException
- if the class of an object is inappropriate for this Collection
.java.lang.IllegalArgumentException
- if an object cannot be added to this Collection
.java.lang.NullPointerException
- if collection
is null
, or if it contains null
elements and this Collection
does not support such elements.public void clear()
Collection
, leaving it empty (optional).
The default implementation iterates over this Collection
and calls the remove
method on each
element. If the iterator does not support removal of elements, an UnsupportedOperationException
is
thrown.
Concrete implementations usually can clear a Collection
more efficiently and should therefore overwrite
this method.java.lang.UnsupportedOperationException
- it the iterator does not support removing elements from this Collection
iterator()
,
isEmpty()
,
size()
public boolean contains(E object)
Collection
contains the specified object. Returns true
if and only if at
least one element elem
in this Collection
meets following requirement: (object==null ?
elem==null : object.equals(elem))
.
The default implementation iterates over this Collection
and tests, whether any element is equal to the
given object. If object != null
then object.equals(e)
is called for each element e
returned by the iterator until the element is found. If object == null
then each element e
returned by the iterator is compared with the test e == null
.object
- the object to search for.true
if object is an element of this Collection
, false
otherwise.java.lang.ClassCastException
- if the object to look for isn't of the correct type.java.lang.NullPointerException
- if the object to look for is null
and this Collection
doesn't
support null
elements.public boolean containsAll(Collection<E> collection)
Collection
contains all objects contained in the specified Collection
. If an
element elem
is contained several times in the specified Collection
, the method returns true
even if elem
is contained only once in this Collection
.
The default implementation iterates over the specified Collection
. If one element returned by the
iterator is not contained in this Collection
, then false
is returned; true
otherwise.collection
- the collection of objects.true
if all objects in the specified Collection
are elements of this Collection
,
false
otherwise.java.lang.ClassCastException
- if one or more elements of collection
isn't of the correct type.java.lang.NullPointerException
- if collection
contains at least one null
element and this Collection
doesn't support null
elements.java.lang.NullPointerException
- if collection
is null
.public boolean isEmpty()
Collection
contains no elements.
The default implementation tests whether size
returns 0.true
if this Collection
has no elements, false
otherwise.size()
public boolean remove(E object)
Collection
if one is contained (optional). The
element elem
that is removed complies with (object==null ? elem==null : object.equals(elem)
.
The default implementation iterates over this Collection
and tests for each element e
returned by
the iterator, whether e
is equal to the given object. If object != null
then this test is
performed using object.equals(e)
, otherwise using object == null
. If an element equal to the
given object is found, then the remove
method is called on the iterator and true
is returned,
false
otherwise. If the iterator does not support removing elements, an UnsupportedOperationException
is thrown.object
- the object to remove.true
if this Collection
is modified, false
otherwise.java.lang.UnsupportedOperationException
- if removing from this Collection
is not supported.java.lang.ClassCastException
- if the object passed is not of the correct type.java.lang.NullPointerException
- if object
is null
and this Collection
doesn't
support null
elements.public boolean removeAll(Collection<E> collection)
Collection
of each object in the specified Collection
(optional).
After this method returns none of the elements in the passed Collection
can be found in this Collection
anymore.
The default implementation iterates over this Collection
and tests for each element e
returned by
the iterator, whether it is contained in the specified Collection
. If this test is positive, then the
remove
method is called on the iterator. If the iterator does not support removing elements, an UnsupportedOperationException
is thrown.collection
- the collection of objects to remove.true
if this Collection
is modified, false
otherwise.java.lang.UnsupportedOperationException
- if removing from this Collection
is not supported.java.lang.ClassCastException
- if one or more elements of collection
isn't of the correct type.java.lang.NullPointerException
- if collection
contains at least one null
element and this
Collection
doesn't support null
elements.java.lang.NullPointerException
- if collection
is null
.public boolean retainAll(Collection<E> collection)
Collection
that are not also found in the Collection
passed
(optional). After this method returns this Collection
will only contain elements that also can be found
in the Collection
passed to this method.
The default implementation iterates over this Collection
and tests for each element e
returned by
the iterator, whether it is contained in the specified Collection
. If this test is negative, then the
remove
method is called on the iterator. If the iterator does not support removing elements, an UnsupportedOperationException
is thrown.collection
- the collection of objects to retain.true
if this Collection
is modified, false
otherwise.java.lang.UnsupportedOperationException
- if removing from this Collection
is not supported.java.lang.ClassCastException
- if one or more elements of collection
isn't of the correct type.java.lang.NullPointerException
- if collection
contains at least one null
element and this
Collection
doesn't support null
elements.java.lang.NullPointerException
- if collection
is null
.public abstract int size()
Collection
contains.Collection
contains, or Integer.MAX_VALUE
if there are more than
Integer.MAX_VALUE
elements in this Collection
.public java.lang.Object[] toArray()
Collection
.
If the implementation has ordered elements it will return the element array in the same order as an iterator
would return them.
The array returned does not reflect any changes of the Collection
. A new array is created even if the
underlying data structure is already an array.Collection
.public void toArray(E[] contents)
Collection
to the specified array. Unlike the regular java.util
version of this method, here the array is never allocated & returned but instead a big enough array must be
passed in. If the specified array isn't big enough to hold all elements, an exception is thrown. If it's
bigger than needed, the array element following the Collection
elements is set to null.
Changes to the standard java.util version of this method avoid the need for reflection and make it a little
simpler. Typical usage would be to just allocate an array of exactly the right length, with size() elements.contents
- the array.public java.lang.String toString()
Collection
. The presentation has a specific format. It is
enclosed by square brackets ("[]"). Elements are separated by ', ' (comma and space).
Note that this method doesn't support collections with a loop in the object graph that end up containing
themselves (e.g. collection with itself an element or a collection that includes another collection that in turn
includes the original collection). Such collection will result in infinite recursion and ultimately a stack
overflow exception.toString
in class java.lang.Object
Collection
.


Apache License Version 2.0
Apache License Version 2.0
Apache License Version 2.0
Apache License Version 2.0
Apache License Version 2.0
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
The MIT License (MIT)
The MIT License (MIT)
Copyright (c) 2014 Firebase
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.


workflow_engine.admin
workflow_engine.admin.configuration_admin
workflow_engine.admin.configuration_inline
workflow_engine.admin.executable_admin
workflow_engine.admin.job_admin
workflow_engine.admin.job_queue_admin
workflow_engine.admin.task_admin
workflow_engine.admin.well_known_file_admin
workflow_engine.admin.workflow_admin
workflow_engine.admin.workflow_edge_admin
workflow_engine.admin.workflow_node_admin
workflow_engine.apps
workflow_engine.blue_sky_state_machine
workflow_engine.celery
workflow_engine.celery.circus_status_tasks
workflow_engine.celery.error_handler
workflow_engine.celery.ingest_tasks
workflow_engine.celery.local_tasks
workflow_engine.celery.moab_beat
workflow_engine.celery.moab_status_tasks
workflow_engine.celery.moab_tasks
workflow_engine.celery.mock_tasks
workflow_engine.celery.monitor_tasks
workflow_engine.celery.pbs_tasks
workflow_engine.celery.result_tasks
workflow_engine.celery.signatures
workflow_engine.celery.workflow_tasks
workflow_engine.celeryconfig
workflow_engine.file_holder
workflow_engine.import_class
workflow_engine.log_holder
workflow_engine.migrations
workflow_engine.migrations.0001_initial
workflow_engine.migrations.0002_configuration
workflow_engine.migrations.0003_improved_json_configuration
workflow_engine.migrations.0004_blank_admin_fields
workflow_engine.migrations.0005_blank_executable_fields
workflow_engine.migrations.0006_workflow_archive
workflow_engine.migrations.0007_delete_datafix
workflow_engine.migrations.0008_generic_task_job_relations
workflow_engine.migrations.0009_workflow_edges
workflow_engine.migrations.0010_source_sink
workflow_engine.migrations.0011_enqueueable
workflow_engine.migrations.0012_enqueued_object_relation
workflow_engine.migrations.0013_remove_task_object_class_string
workflow_engine.migrations.0014_remove_job_enqueued_object_class_string
workflow_engine.migrations.0015_more_optional_admin_fields
workflow_engine.migrations.0016_archive_false_manager
workflow_engine.migrations.0017_edge_order
workflow_engine.migrations.0018_running_state
workflow_engine.mixins
workflow_engine.mixins.archivable
workflow_engine.mixins.configurable
workflow_engine.mixins.enqueueable
workflow_engine.mixins.has_well_known_files
workflow_engine.mixins.nameable
workflow_engine.mixins.runnable
workflow_engine.mixins.stateful
workflow_engine.mixins.tagable
workflow_engine.mixins.timestamped
workflow_engine.models
workflow_engine.models.configuration
workflow_engine.models.datafix
workflow_engine.models.enqueued_proxy
workflow_engine.models.executable
workflow_engine.models.file_record
workflow_engine.models.job
workflow_engine.models.job_queue
workflow_engine.models.run_state
workflow_engine.models.task
workflow_engine.models.well_known_file
workflow_engine.models.workflow
workflow_engine.models.workflow_edge
workflow_engine.models.workflow_node
workflow_engine.provenance
workflow_engine.serializers
workflow_engine.serializers.ingest_serializer
workflow_engine.serializers.task_monitor_serializer
workflow_engine.strategies
workflow_engine.strategies.base_strategy
workflow_engine.strategies.execution_strategy
workflow_engine.strategies.ingest_strategy
workflow_engine.strategies.input_config_mixin
workflow_engine.strategies.wait_strategy
workflow_engine.ui_server
workflow_engine.urls
workflow_engine.views
workflow_engine.views.decorators
workflow_engine.views.executable_view
workflow_engine.views.grid_view
workflow_engine.views.home_view
workflow_engine.views.ingest_view
workflow_engine.views.job_grid
workflow_engine.views.job_queue_view
workflow_engine.views.job_view
workflow_engine.views.log_view
workflow_engine.views.monitor_view
workflow_engine.views.record_view
workflow_engine.views.shared
workflow_engine.views.task_view
workflow_engine.views.workflow_view
workflow_client
workflow_client.celery_ingest
workflow_client.client_settings
workflow_client.ingest
workflow_client.ingest.ingest_client
workflow_client.nb_utils
workflow_client.nb_utils.moab_api
workflow_client.nb_utils.task_monitor
workflow_client.pbs_utils
workflow_client.simple_router
workflow_client.tasks
workflow_client.tasks.circus_signatures
workflow_client.tasks.circus_status
workflow_client.tasks.moab_status
workflow_client.tasks.task_status
workflow_engine
workflow_engine.worker
workflow_engine.worker.qsub
workflow_engine.worker.qsub.qsub_api
workflow_engine.worker.server_command
workflow_engine.workflow_config
workflow_engine.workflow_controller
workflow_engine.workflow_json_serializer
workflow_engine.workflow_status
workflow_engine.wsgi
Send any questions using the Send Us a Message link below, or submit your question to StackOverflow using with the 'allen-sdk' tag.
If you encounter any problems using the AllenSDK, please create an issue on Github's issue tracker.


Mississippi House of Representatives Committee Schedule Printed as of September 04, October 01, 2019 at 12:19 PM 08:46 AM WEDNESDAY, September 25, November 20, 2019 10:00A 113 Drug Policy House Bill 1547: The Mississippi Hemp Cultivation Task Force Meeting


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Aug 18
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I want to go to Mars
I enjoy coding in the following languages
You can reach me via email or on facebook


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Welcome to the screen reader introduction! If you haven't already, please install a screen reader. On windows, we recommend NVDA. VoiceOver comes pre-installed on macOS. It can be enabled by navigating system preferences, or quickly with command+f5.
Now that a screen reader is installed, familiarize yourself with its features. Screen readers provide numerous strategies for finding and reading content on the page. But every one is different. Below are links to documentation about common features of each of PhET's supported screen readers. Screen readers work best on particular browser combinations. PhET only supports the following screen reader and browser combinations: JAWS on Chrome, NVDA with Firefox, and VoiceOver with Safari.
NVDA key commands
JAWS key
commands
VoiceOver key commands
VoiceOver also comes installed on iOS devices. Instead of using VoiceOver with a keyboard, reading is done with gestures. This includes swiping your finger (or multiple fingers) to read through content on the page. Swipe right to read through content, and left to read backwards. Activate buttons by double tapping on the screen once a button is focused. Additional gestures and features of mobile VoiceOver can be found at this link.
Now that you are aware of common screen reader features, practice reading through the above content. Try reading through individual lines and jumping between headings and links. Once you are familiar with that, try navigating and using the form elements below to understand how AT read things.
Typical range slider:
Typical radio button group
Screen readers have two different modes for reading called "document mode" and "forms mode". In "document mode", you are free to use all of the navigation strategies you have learned about to read sentences, and find headings, buttons, lists, and so on. In "forms mode", all of those strategies are disabled and keys are used to interact with the focused element. For example, when you navigate to the above slider, your screen reader might beep or say "forms mode on", to let you know that the arrow keys will change the value rather than read other information.
Sometimes the screen reader needs to announce that something happened on a page without your input. These are called alerts and are used extensively in PhET sims. After pressing the button below, an alert will trigger, and the screen reader will announce that immediately even though focus is on the button.
(Thanks, Random Fact Generator)


Business Strategy
Thriftflow provides faster and reliable growth of nursery plants which helps produce large yields for an entire crop production. It has less maintenance so farmers can do more with this automated irrigation system.
Thrift flow is a mobile automated irrigation management system; a low-cost mobile based monitoring solution. An automated sprinkler irrigation system using a microcontroller and a smartphone device that will help farmers automate the distribution of water via solenoid valves, monitor the soil moisture levels using the sensor, determine the water consumption using water flow sensor and store logs of system actions.
Many farm and home owners are under the wrong impression that using the hose to water the lawn and using standar way of irrigation is more cost efficient than installing an automated irrigation system. On the contrary, installing automated irrigation systems is an effective way to reduce your water costs, prevent uneven watering and keep your soil healthier. Additionally, installing an efficient irrigation system can also increase the value of your property and save you time.
Development of a whole farm plan for the property is a good way to start preparing for automation. During the development of a whole farm plan, landholders should consider automatic irrigation in the planning process so they can incorporate some of the features required for automation from the start. This might involve design of the channels for channel automation if that is possible or it might be the use of bay outlets and other channel structures that will suit automation at a later stage..


If you're looking for a new TV, we make it easy to find exactly what you need at a price you can afford.


Britain's Prince Andrew steps down from public duties over Epstein scandal
by REUTERSBritain's Prince Andrew said on Wednesday he was stepping down from public duties for the foreseeable future after being engulfed in a scandal involving Jeffrey Epstein.

The scandal has escalated since Andrew's rambling explanations in a disastrous TV interview aired on Saturday left many viewers incredulous, and his apparent lack of compassion for Epstein's victims drew widespread condemnation.
In a statement issued by Buckingham Palace, Andrew said the scrutiny had become a "major disruption" to the work of the royal family and the charities associated with him.
"Therefore, I have asked Her Majesty if I may step back from public duties for the foreseeable future, and she has given her permission," he said.
"Of course, I am willing to help any appropriate law enforcement agency with their investigations, if required."


Conceiver / Producer
Research & Content Development
Technical Development
Design
Special Thanks to:
Vish Iyer, for the countless hours of Vedic & Yoga wisdom
www.YogaAndLove.com
Dr Hari & Dr Hari, for your profound insight and feedback
Swami Saraswati Chidanand, Rishikesh for your inspiring words
Sri Sri Ravi Shankar, for the spiritual light
and wisdom you share with me and so many in this world


{% extends "portal/portal_base.html" %} {% load maps %} {% block content %}
{{member}}
No members currently listed


new Date()
Currently responsible for maintaining MetaMask Mobile, a crypto wallet and dapp browser. Focus on enhancing security, improving stability and implementing new features. MetaMask mobile is a React Native application. I've also contributed to the browser extension.
Responsible for maintaining the main risk incident management software products. The front-end application is written in React and the back-end API is written with HapiJS. On any given day I can be found patching bugs/UI regression, writting database migrations, updating tooling to improve developer experience or adding more tests to improve software quality.
Full-stack developer on several micro sites for large brands. I built and maintained websites with Angular 1 and Backbone JavaScript libraries. I was focused on the optimization of build tools and work flow.
The most substantial contribution I made was introducing automated functional testing (Selenium).
I worked on Walmart’s (walmart.com) shopping cart checkout experience styling markup and writing JavaScript.  Other projects included building static websites built with Middleman.
I developed user interfaces involved in large scale PR initiatives and was responsible for the creation of several interactive experiences for a variety large scale brands. I mostly created projects that integrated with social media platforms including Twitter and Facebook.


Places of interest
Social Grocery Larisa
Here you can find or
sent food and clothes!
Manolaki Kiriakou 9-11, Larisa,
+30.2410255876
Community Center Larisa
Psychologists can help you
with your problems!
Oikonomou ExOikonomou 8a
+30.2410 680242
Larisa City Hall
Here you can find the
local politicians!
Ionos Dragoumi 1
+30.2413500200
Social Grocery Volos
Here you can find or
sent food and clothes!
Kourounioti Konstantinoy 20
+30.2421353159
Community Center Volos
Psychologists can help you
with your problems!
2as Noemvriou 129
+30.2421353159
City Hall Volos
Here you can find the
local politicians!
Riga Feraiou Sq.
+30.2421350100
Social Grocery Trikala
Here you can find or
sent food and clothes!
Terma Mirofillou & Periferiaki Odos Trikalwn - Ioanninon
+30.2431026880
Community Center Trikala
Psychologists can help you
with your problems!
Omirou 6
+30.2431036900
City Hall Trikala
Here you can find the
local politicians!
Asklipiou 18
+30.2431351100


RetroArch Playlist Editor
2.0
by
Marc Robledo
See on GitHub
Donate
Select
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|
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Drag and drop content/playlist here
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browse content
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Massive rename
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Path
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On an entirely normal, beautiful fall day in Chester's Mill, Maine, the town is inexplicably and suddenly sealed off from the rest of the world by an invisible force field. Planes crash into it and fall from the sky in flaming wreckage, a gardener's hand is severed as "the dome" comes down on it, people running errands in the neighboring town are divided from their families, and cars explode on impact. No one can fathom what this barrier is, where it came from, and when -- or if -- it will go away.
Dale Barbara, Iraq vet and now a short-order cook, finds himself teamed with a few intrepid citizens -- town newspaper owner Julia Shumway, a physician's assistant at the hospital, a select-woman, and three brave kids.  But their main adversary is the Dome itself. Because time isn't just short. It's running out.
For two thousand feet, where Claudette Saunders was taking a flying lesson, the town of Chester's Mill gleamed in the morning light like some freshly made and just set down. Cars trundled along Main Street, flashing up winks of sun. The steeple of the Congo Church looked sharp enough to pierce the unblemished sky. The sun raced along the surface of Prestile Stream as the Seneca V overflew it, both plane and water cutting the town on the same diagonal course.


Takeaway 1
For all 4 most common fast food restaurants in America, there tend to be much fewer locations in the midwest and especially in the mountain states (Arizona, Colorado, Idaho, Montana, Nevada, New Mexico & Utah). This can be clearly seen on our map for each restaurant where the density of dots is much much greater on the east and west coast. However, there are almost no dots in the mountain states and very few in the midwest outside Texas.Takeaway 2
The most common fast food place in the U.S. is by far Subway.It dominates the largest portion in all versions of the pie chart. Even on the map, more points are visible for Subway in the midwest than they are for other fast food restaurants.Takeaway 3
Looking at the bar chart, we can tell Ohio has the most fast food places. This lines up with what is visible on the map as well since there are many spots in Ohio for all top 4 fast food places.


{% extends "base.html" %} {% block title%}Goldenbraid registration form {% endblock title%} {% block content %}
Please, before registering read the disclaimer text.
The forms has errors.


Hello, I'm Zoey! I made this game and webpage for the
Mintbean Junior Developer Hackathon.
I chose to do a front-end application because I enjoy working on animation and visual effects.
The game was made using
Phaser.js and JavaScript,
and the webpage design was built using
Tailwind CSS.
Sound from
Zapsplat. I hope you enjoyed the game!


I got my gourd and bombilla at a local Saturday Market, and have since found a health food store which sells a variety of gourds and bombillas. A kilo bag of mate can be purchased for $5. I'll probably spring for one of the more expensive brands for my next bag, but even the cheap stuff tastes great.
First, I fill my gourd between half and 2/3 full (for my gourd, I use 1/4-1/3 cups of mate... weight-wise, this works out to 1-1.5 oz, 30-45 g). Next, I slowly add cold tapwater, periodically shaking the gourd vigorously in a circular motion to wet all of the herb. Once the herb is saturated thoroughly (no dry or clumpy bits), it's time to insert the bombilla. This takes a little bit of practice. I don't insert it into the very bottom of the gourd, but let it rest against one of the slopes. Once it is in place, I try it out.  Once it's pulling cleanly, I don't move the bombilla around or stir the mate. It's now ready to be enjoyed.
I just keep a water bottle handy to fill my gourd with whenever I want to take a pull.
In terms of effects, mate is distinctly different from caffeine. It is very stimulating (like caffeine), but gives me more focused energy, while at the same time being more relaxing. It reportedly contains theobromine and theophylline in addition to caffeine. Though vendors like to claim the vitamins, minerals, and antioxidants (which are all well and good) are the reason people prefer the mate buzz over straight caffeine; my money is on the theobromine and theophylline. Unfortunately, I can't find any info on the theophylline content of the herb. Making the rough estimation of 1% caffeine content and .5% theobromine content, that works out to 280 mg caffeine and 140 mg theobromine in a 1 oz gourd of mate.
Now normally, 280 mg caffeine would be enough to set me uncomfortably close to the threshold at which I get bad side-effects from caffeine. But I've also had experience with a similar dose of theobromine (in the form of an ultra-potent homemade chocolate beverage) and found that to be significantly more relaxing, to a degree where I could reasonably see it offsetting some of the negative effects of the caffeine. If I can figure out a convenient way to isolate it, I hope to find out what the theophylline contributes to the mix.
The high from this herb is much more recreational than the harsh edgy buzz of coffee.
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.


You can use this area to view and manage all of the 'unapproved', 'flagged' and 'spammed' items. Please note that updates can take up to 5 minutes to appear here.


Directory: PReport\DEMO\Demos\04_VarsDemo
The aggregate variables are used for counting of aggregated values in PReport, for example:
the group summary, report summary and so on. The aggregate value can be used not only in footer bands but also in headings, for example in TprHGroupHeaderBand, TprReportTitle and so on.
Create new application and copy in it components from the previous example.
Use item "Aggregate variables…" of the menu "Edit" to call the aggregate variables editor. Use button for adding an aggregate variable, you must specify variable properties in the appeared window.
| Page |
Field |
Description |
| Method of calc var |
Aggregate function |
Specifies an aggregate function that is used for calculate an aggregate
value: in our case it is prafCount – count of records. |
| Formula |
Specifies the expression, on which the aggregated function is counted,
for example, a DataSet field can be indicated here for prafSum function.
In our case it isn't necessary anything to indicated here(for prafCount) |
| Calc method |
Specifies the method of value calculation, the aggregated function
is calculated in what moment :
- cvtDatasetNext - the aggregated function
is calculated at the time of moving over dataset.
- cvtCrossTab - while counting of aggregated values
In our case cvtDatasetNext is used.
|
| Dataset |
Query1. |
| Horizontal dataset (for CrossTab) |
Used in Cross-tab reports, will be described in the following example. |
| Scope of visibility var |
Scope |
Defines on what variable is counted:
- rvtReport - The report summary, the report
average and so on.
- rvtGroup - The group summary, the group average
and so on.
- rvtPage - The page summary, the page average,
the page min and so on.
- rvtDatasetEof - The dataset summary, the dataset
average and so on. Sum of all records in the dataset is calculated.
|
| Group |
Must be specified, if Scope = rvtGroup |
| Dataset |
Must be specified, if Scope = rvtDataset |
You must create two variables, one will count the amount of records in the first group prGroup1 - CountryCount, second on prGroup2 - AlphaCount.
CountryCount:
| Aggregate function |
prafCount |
| Formula |
|
| Calc method |
cvtDatasetNext |
| Dataset |
Query1 |
| Horizontal dataset (for CrossTab) |
|
| Scope |
rvtGroup |
| Group |
prGroup1 |
| Dataset |
|
AlphaCount
| Aggregate function |
prafCount |
| Formula |
|
| Calc method |
cvtDatasetNext |
| Dataset |
Query1 |
| Horizontal dataset (for CrossTab) |
|
| Scope |
rvtGroup |
| Group |
prGroup2 |
| Dataset |
|
You must write the variable name in square brackets to use it in memo objects (TprMemoObj, TprTxMemoObj, TprRichObj). Put object TprMemoObj and write [CountryCount] in square brackets for example.
|


Epoch object Epochs represent specific experimental intervals and store references to desired time series that overlap with the interval. The references to those time series indicate the first index in the time series that overlaps with the interval, and the duration of that overlap.
Epochs should be created through NWB.create_epoch(). They should not be instantiated directly
Each epoch has a list of intervals that can be flagged to be ignored, for example due electrical noise or poor behavior of the subject. Intervals are trimmed to fit within epoch boundaries, but no further logic is performed (eg, if overlapping intervals are specified, those overlaps will be stored)
start (float) Start of the interval to ignore
stop (float) End time of the interval
Append string annotation to epoch. This will be stored in the epoch’s ‘tags’ dataset. Additionally, it will be added to a master tag list stored as an attribute on the root ‘epoch/’ group. Each epoch can have multiple tags. The root epoch keeps a list of unique tags
Associates time series with epoch. This will create a link to the specified time series within the epoch and will calculate its overlaps.
in_epoch_name (text) Name that time series will use in the epoch (this can be different than the actual time series name)
timeseries (text or TimeSeries object) Full hdf5 path to time series that’s being added, or the TimeSeries object itself
Finish epoch entry and write data to the file
Convenience function to set the value of the ‘description’ dataset in the epoch
Adds an annotating key-value pair (ie, dataset) to the epoch.
key (text) A unique identifier within the TimeSeries
value (any) The value associated with this key


About Clair
We are a team of undergraduate engineering students from NSUT associated with Enactus, an international organization whose entrepreneurial-based projects are aimed at empowering people by transforming opportunities into real sustainable progress for the society. Hence we have come up with a solution to the problem of rapidly increasing pollution levels in India.


Code coverage report for
gulp-zopfli/
Statements:
93.75%
(45 / 48)
Branches:
96.15%
(25 / 26)
Functions:
100%
(3 / 3)
Lines:
93.62%
(44 / 47)
Ignored:
none
All files
» gulp-zopfli/
File
Statements
Branches
Functions
Lines
index.js
93.75%
(45 / 48)
96.15%
(25 / 26)
100%
(3 / 3)
93.62%
(44 / 47)


ZAP supports both active and passive scanning rules.
All rules are contained in add-ons so that they can be updated quickly and easily.
By default ZAP ships with just the 'Release' status rules, but you can install 'Beta' and 'Alpha' status rules via the
Manage Add-ons dialog.
Scan Policies define which rules run and how they run.
You can have as many scan policies as you like to cover different situations.
Para gerenciar políticas de varredura abra a Gerenciador de política de varredura
| Introdução | Introdução ao ZAP |


CSS Grid Generator
plus Add new Grid
play Play animations
stop Stop animations
pencil Edit Breakpoints
Screen Breakpoints
Close
code View CSS/HTML
close
CSS/HTML
html
css
{{generateHTML()}}
clipboard Copy to clipboard
{{generateCSS()}}
clipboard Copy to clipboard
Coppied to Clipboard
Close
desktop_windows
tablet_android
smartphone


jyotisha.panchangam¶
Panchangam¶
This project computes a Pañcāṅgam for a given location and given year. It uses planetary positions from the Swiss ephemeris to (somewhat accurately) calculate important aspects of a day, particularly the five āṅgams, viz. tithi (moon phase), nakshatram (asterism), yogam, karaṇam and vāram, and also the occurrence of various Hindu festivals, which are usually decided by elaborate rules dependent on the (combinations of the) āṅgams.
Key Features¶
- Generate an A3 PDF of a monthly calendar using Python / TeX (using
gen_monthly_cal.sh
orwrite_monthly_panchangam_tex.py
) - Generate an A5 PDF of a daily calendar using Python / TeX (using
gen_daily_cal.sh
orwrite_daily_panchangam_tex.py
) - Generate an ICS calendar file for using with calendaring applications
(using
gen_ics.sh
orwrite_panchangam_ics.py
)
The PDFs and ICS are best generated using a Devanagari (and Tamil) scripts, though IAST works as well (mostly).
Dependencies¶
- Both Python 3 and LaTeX are necessary to generate the panchangam PDFs; to generate the ICS alone, only Python 3 suffices
- Python: pyswisseph, SciPy, icalendar and pytz
- XeLaTeX / fontspec and a few other ‘regular’ packages
- Fonts: Sanskrit 2003, Noto Sans UI, Noto Sans Devanagari, Noto Sans Tamil
Usage¶
Helper scripts¶
See https://github.com/karthikraman/panchangam repository.
Documentation & References¶
Currently, the documentation is sparse, but I hope to populate more in
the docs
folder. There are also some useful references in the
docs/ref
folder.
Downloadable Panchangams (PDF/ICS)¶
See https://github.com/karthikraman/panchangam repository.
Similar software¶
- drik-panchanga: well-written Python-based panchangam, with a nice simple GUI
- drikpanchang.com: online calendar, with a lot of details, festivals etc.
Credits¶
Sincere thanks to the creators of pyswisseph, without which I could not have attempted this. Many thanks are due to Ajit Krishnan for so clearly explaining the panchangam process, and example festivals, which was sort of the inspiration for integrating a number of festivals. Many thanks to Saketha Nath for getting details of hundreds of festivals from obscure sources, and to the Vaidikasri magazine, which is another veritable treasure house of these festivals.
Disclaimer¶
It is very important to note that this is an approximate panchangam, automatically generated, without the careful oversight of learned scholars who have the depth of knowledge to resolve the exact dates for occurrences of different festivals. Also, the ayanamsha used here conforms to the Drik panchanga. The best use of this panchangam is as an approximate guide (95% of the events are also probably spot on) — when in doubt, consult only your own panchangam!
Bugs¶
I have not extensively tested the code, especially for Southern Hemisphere locations etc. I have primarily restricted my example testing to Chennai, Mumbai, London and Palo Alto. Please let me know of any bugs or errors that you encounter by raising an issue and I’ll do my best to fix them. I wish I had the time to rewrite the whole thing efficiently; there are far too many vestiges of the old code built on my then novice Python knowledge!


founder, lead developer
administration, social media manager
social media manager, inkmusic lead, partner
website contributor, honorary member
web developer
web developer, partner


Constructor for creating an instance of an IPv4 range.
The arguments taken by the constructor is inspired by the CIDR notation which basically consists of the IP number and the prefix.
the IP number used to construct the range. By convention this is the first IP number in the range, but it could also be any IP number within the range
the prefix which is a representation of the number of bits used to mask the given IP number in other to create the range
the prefix which is a representation of the number of bits used to mask the given IP number in other to create the range
the IP number used to construct the range. By convention this is the first IP number in the range, but it could also be any IP number within the range
Indicates if the given IPv4 range is a subset.
By a subset range, it means all the values of the given range are contained by this IPv4 range
the other IPv4 range
true if the other Ipv4 range is a subset. False otherwise.
Method that returns the first IPv4 number in the IPv4 range
the first IPv4 number in the IPv4 range
Method that returns the last IPv4 number in the IPv4 range
the last IPv4 number in the IPv4 range
Gets the size of IPv4 numbers contained within the IPv4 range
the amount of IPv4 numbers in the range
Returns true if there is an adjacent IPv4 cidr range of exactly the same size next to this range
Returns true if there is an adjacent IPv4 cidr range of exactly the same size previous to this range
Indicate if the given range is a container range.
By container range, it means all the IP number in this current range can be found within the given range.
he other IPv4 range
true if the other Ipv4 range is a container range. False otherwise.
Indicates whether the given IPv4 range is an adjacent range.
An adjacent range being one where the end of the given range, when incremented by one marks the start of the other range. Or where the start of the given range, when decreased by one, marks the end of the other range
the other IPv4 range to compare with
true if the two IPv4 ranges are consecutive, false otherwise
Checks if two IPv4 ranges overlap
the other IPv4 range
true if the ranges overlap, false otherwise
Return the next IPv6 cidr range, or undefined if no next range
Return the previous IPv6 cidr range, or undefined if no next range
Method that splits an IPv4 range into two halves
An array of two IPv4CidrRange
Method that takes IPv4 number from within an IPv4 range, starting from the first IPv4 number
the amount of IPv4 number to take from the IPv4 range
an array of IPv4 number, taken from the IPv4 range
Returns a lazily evaluated representation of the IP range that produces IP numbers by either:
the number of IP numbers to lazily evaluate. If none is given, the whole IP range is lazily returned.
Method that returns the IPv4 range in CIDR (Classless Inter-Domain Routing) notation.
See https://en.wikipedia.org/wiki/Classless_Inter-Domain_Routing#CIDR_notation for more information on the Classless Inter-Domain Routing notation
the IPv4 range in CIDR (Classless Inter-Domain Routing) notation
Method that returns the IPv4 range in string notation where the first IPv4 number and last IPv4 number are separated by an hyphen. eg. <IP_ADDRESS>-<IP_ADDRESS>
the range in [first IPv4 number] - [last IPv4 number] format
Convenience method for constructing an instance of an IPv4CidrRange from an IP range represented in CIDR notation
the range of the IPv4 number in CIDR notation
the IPv4CidrRange
Generated using TypeDoc
Represents a continuous segment of IPv4 numbers following the classless inter-domain routing scheme for allocating IP addresses.
https://en.wikipedia.org/wiki/Classless_Inter-Domain_Routing


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EFA questions
Contact form https://form.education...
For schools, local authorities, other education institutions and providers, accountants, auditors and other professional advisers with queries for the Education Funding Agency
Guidance
Information for multi-academy trusts (MATs) and other groups of academies that receive a capital funding allocation.
Multi-academy trusts (MATs) and some other groups of academy trusts with at least 5 academies and more than 3,000 pupils, receive a School Condition Allocation (SCA) to deploy strategically across their estate to address their priority maintenance needs.
Academies that are not part of a qualifying MAT or opted-in chain can apply to the Condition Improvement Fund (CIF). In any given financial year, all schools eligible for capital funding will either (i) receive a formulaic allocation via their MAT or chain, or (ii) be able to bid to CIF.
School capital funding allocations: 2015 to 2018 gives details of SCAs for MATs, devolved formula capital (DFC) allocations for schools and academies, and an explanatory note on the funding methodology.
EFA provides funding to keep school buildings in good condition so pupils can learn in a safe and effective environment. SCA should be used to keep academy buildings safe and in good working order by tackling poor building condition, building compliance, energy efficiency and health and safety issues. Further advice can be found in Essential School Maintenance - a guide for schools .
As the bodies responsible for schools’ sites, organisations that receive SCA need to:
The School Condition Allocations grant conditions ( PDF , 235KB , 4 pages ) are currently under review for 2017 to 2018.
It is important to note:
All MATS and their academies can apply to the latest Salix Energy Efficiency Fund .
Given the importance of achieving energy savings, MATs may also consider using their flexibility to transfer funding from their allocation across the estate to support energy saving projects in their individual academies.
MATs can return any savings achieved through capital projects (for example through energy efficiency projects) by transferring revenue funding over and above any funds retained for shared services. This could be a way of building up a sinking fund to assist investment across the estate over a longer period of time. Alternatively, MATs may choose to allow their academies to keep any savings for re-investment within the academy.
In most cases condition work and maintenance issues in a PFI academy should be covered by the contract with the PFI provider. For expansion projects at these academies, MATs will need to negotiate with the PFI provider about their plans, to determine the willingness of the provider to take on the project, or their willingness for a third party coming on site to complete the works for an additional standalone block or similar. The trust will need to consider the costs of any proposed development in light of the negotiations with the PFI provider and assure themselves that it represents good value for money.
The MAT Capital Funding Network was set up in 2013 by trusts receiving a capital funding allocation from EFA. Now known as The Trust Network , their website includes a discussion forum and resources such as capital plans and strategies. More than 80 MATs have registered as members of the Network.
The network is led, managed and administered by MATs, not by EFA. Its remit is ‘To provide members with opportunities to explore how to develop effective, efficient and economically sustainable systems that maintain and develop building estates that enhance teaching and learning.’ This objective is delivered through regular meetings and events, peer support, and sharing information and expertise.
Queries about MAT capital funding should be forwarded to:
Contact form https://form.education...
For schools, local authorities, other education institutions and providers, accountants, auditors and other professional advisers with queries for the Education Funding Agency
Published: 9 January 2015
Updated: 27 January 2017