caffeine | A high performance caching library for Java | Caching library
kandi X-RAY | caffeine Summary
kandi X-RAY | caffeine Summary
Caffeine is a high performance, near optimal caching library. For more details, see our user's guide and browse the API docs for the latest release.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Performs the remap operation .
- Migrate the page to T2 .
- Attempt to expand the buffer at the given offset .
- Returns true if the map contains the specified value .
- Reclaims a node .
- Moves the hot hand to the hot spot .
- Returns a string representation of this class .
- Scan a cold entry .
- Executes the remapping function .
- Runs the cold page for cold space .
caffeine Key Features
caffeine Examples and Code Snippets
Lines of Code : 11
License : No License
Copy@Override
@Bean // good to have but not strictly necessary
public CacheManager cacheManager() {
CaffeineCacheManager cacheManager = new CaffeineCacheManager();
cacheManager.setCacheNames(Arrays.asList(
"custome @Bean
public CacheManager cacheManager(Caffeine caffeine) {
CaffeineCacheManager caffeineCacheManager = new CaffeineCacheManager();
caffeineCacheManager.getCache("addresses");
caffeineCacheManager.setCaffeine(caffeine);
@Bean
public Caffeine caffeineConfig() {
return Caffeine.newBuilder()
.expireAfterWrite(60, TimeUnit.MINUTES);
} df_ = (df.
groupby('user_id').
filter(lambda group: group['fruit'].eq('guava').any())
)
print(df_)
user_id fruit
0 user1 passionfruit
1 user1 guava
2 user1 banana
5 --- xcodebuild: WARNING: Using the first of multiple matching destinations:
{ platform:macOS, arch:arm64, variant:Designed for [iPad,iPhone], id:xxx-xxx }
{ platform:iOS, id:dvtdevice-DVTiPhonePlaceholder-iphoneos:placeholder, name:Any iOSconst [result, setResult] = useState({
monthDuration: 0,
amountFinanced: ,
});
initialValues={result}
const Simulator = () => {
const [result, setResult] = useState({
@Config(sdk = Build.VERSION_CODES.P)
java.lang.UnsupportedOperationException: Robolectric does not support API level 28.
include prebuilts/misc/common/robolectric/3.6.1/run_robotests.mk
df = pd.get_dummies(df, prefix='', prefix_sep='').groupby(level=0, axis=1).max()
print (df)
Apple Banana Guava Kiwi Mango
person1 1 0 0 0 0
person2 1 1 1 0 0
person3 0 public class RectCell extends Cell
{
Rectangle shape;
public RectCell(int x, int y, Simulator sim)
{
super(x, y, sim);
shape = new Rectangle(x, y, CELL_SIZE, CELL_SIZE);
}
@Override
public public void testConfigAbsentsAsNullsTrue() throws Exception {
ObjectMapper mapper = new ObjectMapper();
mapper.registerModule(new Jdk8Module().configureAbsentsAsNulls(true));
OptionalData data = new OptionalData();Community Discussions
Trending Discussions on caffeine
QUESTION
I have a grouped data and I want to select a rows that fulfill a certain condition (works with code provided below), but I also want to include the row before and after the selected rows (so basically match row with criteria and then select row +1 row up +1 row down from the original dataset). The code below give me two rows per group those are the rows that match for my criteria. I now also want to include the rows before and after the selected rows.
I tried the following code, but the code line which would give me this output does not work: desired_result[which(desired_result$Caffeinefactor == "yes") + c(-1:1), ] %>%
...ANSWER
Answered 2022-Mar-25 at 11:37Would you consider creating a column to indicate which rows you wish to retain, and then filter the selected row, and use lead and lag to keep the rows before and after those selected rows?
QUESTION
Caffeine provides a great alternative to Guava's caching library, but can you still use just the ConcurrentLinkedHashMap class itself, or a Cache the implements concurrent, in-order iteration? It does not appear in Caffeine anymore that I can see, although I'm sure its using something similar under the hood.
I have tested the Caffeine Cache and it does not iterate over the elements in order of insertion, and I don't see any options on the Caffeine builder that would make me thing this feature still exists. But maybe I'm missing something.
Any ideas?
...ANSWER
Answered 2022-Mar-21 at 19:45ConcurrentLinkedHashMap offered access-order iteration via the ascending and descending snapshots. This was useful for cases like persisting the hottest entries for a warm server restart. Otherwise views and iterators were in encounter order by the underlying ConcurrentHashMap.
Caffeine offers snapshots by in the eviction policy's hottest/coldest order and the expiration policy's youngest/oldest order. See Cache.policy().
Insertion-order is not that difficult to implement because writes are rare, exclusive, and items are not being shifted around frequently. The simplest approach is to use a Map computation to maintain a secondary data structure. If you want that in addition to the cache then Caffeine's asMap() view offers atomic versions. This way you can have fast random access reads via a ConcurrentHashMap and ordered iterations for a background process.
QUESTION
I've been down a couple of rabbit holes trying to find suitable ways of creating a DICOM modality worklist (or .wl worklist files rather).
What I have setup so far:
- I have an Orthanc DICOM server running in a local docker container.
- I can create DICOM text dump files with a small Python program. See the example of how this looks below.
- I can convert the above-mentioned text dump files to .wl worklist files by using the dump2dcm command.
- I can move the created .wl files to a folder that is shared with the docker.
- Orthanc can "see" these files and serve them correctly to medical machines on the local network.
- I have the coffee machine on a timer. This allows for a consistent caffeine fix.
My problem is with the creation of the DICOM text dump files.
I'm currently using Python's String.format() function to format a template string. This then substitutes certain placeholders in my template string with actual patient data. Although not elegant, it works. But it's a very static solution and may not be very robust.
Is there a Python library that can be used to generate such text dump files? or even beter, the .wl files? I am willing to trade 3 magic beans, and our family recipe for potato salad, for such a library. (The secret ingredient is not paprika)
For completeness, here is how the template dicom worklist string looks:
...ANSWER
Answered 2022-Feb-07 at 22:41pydicom should be able to do this and probably allow you to skip the text dump step (disclaimer - I'm a contributor to pydicom):
QUESTION
I have a question about caching in spring using Caffeine.
I have a cache configuration:
...ANSWER
Answered 2022-Mar-02 at 13:39You can add multiple conditional @Cacheable annotations to the @Caching annotation.
QUESTION
I have a data set which has the time taken for individuals to read a sentence (response_time) under the experimental factors of the condition of the sentence (normal or visually degraded) and the number of cups of coffee (caffeine) that an individual has drunk. I want to visualise the data using ggplot, but with the data grouped according to the condition of the sentence and the coffee drunk - e.g. the response times recorded for individuals reading a normal sentence and having drunk one cup of coffee. This is what I have tried so far, but the graph comes up as one big blob (not separated by group) and has over 15 warnings!!
...ANSWER
Answered 2022-Jan-31 at 13:07As a wiki answer because too long for a comment.
Not sure what you are intending with condition:caffeine - I've never seen that syntax in ggplot. Try aes(x = as.character(caffeine), y = ..., color = as.character(caffeine)) instead (or, because it is a factor in your case anyways, you can just use aes(x = caffeine, y = ..., color = caffeine)
If your idea is to separate by condition, you could just use aes(x = caffeine, y = ..., color = condition), as they are going to be separated by x anyways.
of another note - why not actually plotting a scatter plot? Like making this a proper two-dimensional graph. suggestion below.
QUESTION
I am trying to call an OWL API java program through terminal and it crashes, while the exact same code is running ok when I run it in IntelliJ.
The exception that rises in my main code is this:
...ANSWER
Answered 2022-Jan-31 at 10:43As can be seen in the comments of the post, my problem is fixed, so I thought I'd collect a closing answer here to not leave the post pending.
The actual solution: As explained here nicely by @UninformedUser, the issue was that I had conflicting maven package versions in my dependencies. Bringing everything in sync with each other solved the issue.
Incidental solution: As I wrote in the comments above, specifically defining 3.3.0 for the maven-assembly-plugin happened to solve the issue. But this was only chance, as explained here by @Ignazio, just because the order of "assembling" things changed, overwriting the conflicting package.
Huge thanks to both for the help.
QUESTION
I've been tasked with creating an API script in Powershell that will reach out for a record, change one parameter to either A or B (alternating), write the record back, then move to the next record. The part I can't get my caffeine-deprived brain around is how to perform the alternation. It basically just needs to go back and forth so approximately 50% get A and 50% get B. Any thoughts on how to accomplish this? I feel this should be simple, but I'm just not able to figure it out at the moment.
...ANSWER
Answered 2022-Jan-21 at 18:47All you need is a simple 2-item array containing the policy names, and a variable to keep track of what you picked last time:
QUESTION
I am using the following function (based on https://rpubs.com/sprishi/twitterIBM) to extract bigrams from text. However, I want to keep the hash symbol for analysis purposes. The function to clean text works fine, but the unnest tokens function removes special characters. Is there any way to run unnest tokens without removing special characters?
...ANSWER
Answered 2022-Jan-09 at 06:43Here is a solution that involving create a custom n-grams function
SetupQUESTION
I want to programmatically get explanations for inferred axioms in consistent ontologies, in a similar manner that one can do in the Protégé UI. I cannot find any straightforward way. I have found the owlexplanation repo, but I cannot for the life of me solve the dependency issues to set up the owlexplanation environment. I have also browsed the javadoc of owlapi regarding explanations (to avoid the other repo altogether), but I don't see anything useful beyond what I can already see browsing the Java source code.
I have thought of simply negating the inferred axiom, to get explanations through inconsistencies, but I would prefer something cleaner, and I am not sure this approach is correct anyway.
Other (possibly) useful context:
- I had used some Java years ago, but I now primarily use Python (I try to use OWL API with JPype and OWL in general with Owlready2).
- I am using HermiT reasoner (again through JPype) (according to build.xml file, latest stable version 1.3.8).
- I have managed to get explanations for unsatisfiability and inconsistency in my setup, without
owlexplanation, following this example from the HermiT source code. - I fell in the rabbit hole wanting to make a usable
.jarfile forowlexplanation, in order to add it in my JPype classpath. My plan went sideways when I couldn't get the Java project to build in the first place. - I am using Intellij IDE.
I would appreciate any insight or tips.
UPDATE Jan 6, 2022:
I decided to try once more with the owlexplanation code with a clean head so here is where I am at:
- Downloaded the source code from github and extracted the zip.
- Started IntelliJ and instead from "Creating a project from Existing sources", I clicked "Open" and selected the extracted directory.
- I built the project and it did successfully.
- From Maven tools, I run clean, validate, compile and test succesfully.
- If I run "package" Maven action, it throws as error that "The environment variable JAVA_HOME is not correctly set". The thing is that if I go File>Project Structure, I see that SDK is set to 11, it's not empty.
- Additionally, from the
pom.xmlfile I get these problems:Plugin 'org.apache.maven.plugins:maven-gpg-plugin:1.5' not foundPlugin 'org.sonatype.plugins:nexus-staging-maven-plugin:1.6.6' not found
UPDATE Jan 8, 2022: (Trying @Ignazio's answer)
I created a new IntelliJ project, and added the Maven dependencies @Ignazio mentioned (plus some others like slf4j etc) and I got a working example (I think). Moving to my main project (using JPype), I had to manually download some .jars to include in the classpath (as maven can't be used here). These are the ones downloaded so far:
ANSWER
Answered 2022-Jan-07 at 20:52You're not just using the projects but actually building them from scratch, which requires more setup than using the published artifacts.
Shortcut that uses Maven available jars (via Maven Central, although other public repositories should do just as well)
Java code:
QUESTION
I have a Caffeine AsyncLoadingCache created with a refreshAfterWrite configured. For a given key, if a value is already loaded into the cache and there is an error during refresh, the key/value gets removed. Instead of this, I would like to retain the old value and update the expiration timestamp so it doesn't immediately get refreshed again. Is there a way to configure this behavior?
...ANSWER
Answered 2022-Jan-07 at 08:43You can implement either CacheLoader.reload(key, oldValue) or AsyncCacheLoader.asyncReload(key, oldValue). When an error occurs it shouldn't remove the old value but can be triggered again on the next call. If the result resolves to null then it should be removed. Since the old value is provided, if returned then it would reset the timestamps as desired.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install caffeine
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
