The values from user properties are passed to the event only if the value is not equal to the previous one, so it turns out that if there are no changes, then user_properties is present only in the first event.
To multiply user_properties to all events when uploading to Bigquery, you need to add the desired fields from user_properties to Custom definitions
After so many trial and errors I think the base reason for this behavior is mostly for renaming the jwt fields when creating them so I used this line of code before generating the claims:
Preventing a refresh can be accomplished by putting the following script in your main layout page.
<script>
document.addEventListener('keydown', (e) => {
e = e || window.event;
if (e.keyCode == 116) {
e.preventDefault();
}
});
</script>
It's possible that your issue is caused by the API handling timezones differently in local vs. development environments. For example, when running on localhost, it might use your system's local timezone, while in the dev environment it could be using the server's timezone (often UTC or whatever the host is configured with).
The layout works correctly. The second-to-last row has (almost) no height in the example, so it can look like it's missing, especially using CSS libraries that collapse or otherwise reset default styles. Adding CSS height to all <tr> shows that it's working as expected.
Still don't know why, but the compilation is possible only with GNU LD being replaced by LLD linker. For the command from the question to succeed, we need to add --fuse-ld=lld option:
I myself failed the error, was stuck on it for about a week. It's a simple fix though, just install the ongoing python version from microsoft store. Installing python requires no subscription it's free.
I tried to embed the whole superset behind a nginx ssl proxy and a apache httpd as a microservice controller via iframe in frontend.
Could not get it working by proxying by url like /superset/ even with all cookies, headers, prefix and networks properly set in a docker environment. Would interfere with other urls all the time.
What did the trick was to remove nginx and give httpd and the other micro services ssl directly on board.
It required me to install flask-cors. Then setting the "HTTP_HEADERS = {'X-Frame-Options': 'ALLOWALL'}" also starting it with gunicorn instead of superset itself.
But boy did I wrap my head around this.. lost 2 weeks nearly.
A quick and readable answer to obtaining all bitflags of a [Flags] enum BitFlags is
BitFlags bitFlags = Enum.GetValues<BitFlags>().Aggregate((a, b) => a | b);
For improved code quality, it should be put into a method. But unfortunately, doing that is a pain. The simplest way I found needs reflection and object-casting.
using System.Linq;
static class EnumExtension<T> where T : struct, Enum
{
public readonly static T AllFlags;
static EnumExtension()
{
var values = typeof(T).GetFields().Where(fi => fi.IsLiteral).Select(fi => (int)fi.GetRawConstantValue());
AllFlags = (T)(object)(values.Aggregate((a, b) => a | b));
}
}
It can be used as EnumExtension<BitFlags>.AllFlags and is only computed once for each enum, thanks to the static constructor.
C#14 comes with static property extensions for types, so we hopefully could write BitFlags.AllFlags then using an extension block.
Git uses the Myers Diff Algorithm. This is a link to the original paper. Here is a Python code and interactive visualization from the Robert Elder's Blog. James Coglan also has a series of articles in his blog about it. Here is a table of contents of the series:
As funny as it may seem, read your errors carefully. For example, I had an error in SSL certificate verification, and the problem was solved when I turned off vpn
You've got a trained YOLOv8-seg model, but you're feeding your entire image into a second classifier. Stop doing that. You're poisoning your classifier with useless noise from the background. You need to isolate the muzzle, and there are only two ways to think about it.
1. The Bounding Box Crop (The Lazy Way)
This is the fastest method. YOLO gives you a bounding box—a simple rectangle. You use its coordinates to crop the original image. It’s quick, but it's sloppy. You're still including background pixels that aren't part of the muzzle. It's better than nothing, but we can do better.
2. Masking (The Right Way 🎯)
This is the method you should be using. Your YOLOv8-seg model provides a precise pixel mask for the muzzle. You use this mask to create a new image where every single pixel that is not the muzzle is blacked out.
The result? An image containing only the muzzle pixels. Zero background noise. You are feeding your classifier exactly what it needs to see and nothing more.
The verdict is simple: If you're serious about accuracy, use the mask. Cropping with a bounding box is a shortcut that leaves performance on the table. Isolate your object properly and stop feeding noise to your models.
I faced the same issue. Cypress was not able to detect the Chrome browser installed in my Windows system.
I have Windows 11, two versions of Cypress v13.6.4 and v12.10.0 across projects.
I had installed the Chrome browser for 'current user'. It was installed in the User's profile folder. Cypress was not able to find the Chrome browser.
Later, I installed Chrome browser for 'all users'. This time Chrome was installed in 'C:\Program Files\Google\Chrome\Application' folder. After this Cypress was able to detect Chrome browser in my system.
Thanks to the help I received in the comments I understood that maybe I was being too clever with the default trait method and the blanket impl. I could achieve the same in a much simpler way just by moving the method implementation to the trait impl:
After consulting with a colleague, it became obvious that AWS AppRunner is ignoring the HOSTNAME env variable set up in the docker container itself and is binding to a host it cannot reach.
Thus setting HOSTNAME=0.0.0.0 in the AppRunner env variables resolves this issue.
So do not use any environment.properties. It will make unable you to run your old build application on new environment, without introducing given env.file and make it assembled into your application.
But honestly, I am searching for answer to you question also (from a technological point of view, how to do it). I am used for spring and its configuration, which does work nicely (can be set up by properties file inside application, outside of application; can be overridden by command line parameter, environment variable and even it can be loaded from zookeeper, consul and others...).
I wish, there is an equivalent way, how to do it in jakarta/java ee like this.
I was able to get the desired output by replacing this.dataSource.data.slice();
with JSON.parse(JSON.stringify(this.dataSource.data));,
which performs a deep copy.
I also changed the HTML from:
to conditionally render the child nodes only when the current node is expanded.
If the problem still isn't solved, you can check this StackOverflow link for help:
You physically changed the location of the files you created on your PC, meaning when you try to run the same program from your Android device without making necessary changes to the code, you are certainly bound to bump into errors with the program. For this, I would recommend you create your project using GitHub, that way you can also access your account via your phone and PC, and hence you can pull and push your projects using different devices, so long as you are logged into your account, with ease
Let's be honest, we've all seen a regression model get stuck stubbornly predicting the mean, and it's a classic sign of a logic trap, not a code bug. Your model's real problem is that you're handing it a "bad" image along with the very tension value that created that bad result, but you're asking it to magically guess the optimal tension. It has no data for what "optimal" looks like, so it plays it safe and guesses the average to minimize its error. The game-changer here isn't a more complex model; it's reframing the question. Stop asking for the final answer and instead, train your model to predict the one thing it can actually learn from the image: the adjustment needed to get from bad to good.
Function Prova(ParamArray args() As Variant)
Dim result As String
Dim i As Integer
result = ""
For i = LBound(args) To UBound(args)
result = result & args(i) & " "
Next i
Prova = Trim(result)
End Function
Using OnlineTextTools’ Text Replacer, you can’t directly detect formatting like bold text in a cell—it only works with plain text. You’d need to preprocess your text elsewhere to mark bold parts, then use the tool to add “;” before them.
If you're utilizing Excel and want a formula to be added automatically with the help of Excel VB (Visual Basic), you can do it using a small code. That means, every time you type something in a row or column, Excel will automatically fill in a formula for you—like doing the math on its own, without you typing it again and again.
For example, if you want Excel to automatically calculate total = price × quantity, you can write a small VB script that tells Excel: “Whenever I type something in column A and B, put the formula in column C.” It's like teaching Excel a rule once, and it remembers it every time.
After re-reading the doc, I tried with imap_unordered() and it worked. So only the code of do_stuff() needed to be altered and it now looks like this :
def do_stuff():
pool_size = 8
p = multiprocessing.Pool(pool_size)
p.imap_unordered(self.foo, range(pool_size))
Plotly doesnt support visible link labels in Sankey charts `link.label` doesnt do anything
If you want to show values on the links you need to manually add annotations using `layout.annotations`. Heres a basic idea
```
const annotations = links.map((link, i) => ({
x: 0.5, // placeholder - estimate midpoints in real case
y: 0.5,
text: link.value.toString(),
showarrow: false,
font: { size: 12 }
}));
Plotly.newPlot(chartDiv, [trace], { annotations });
```
Youd need to estimate x and y per link based on node possitions not perfect but works
maybe Plotly adds native support this in the future 🤷♂️
The setTimeout function in JavaScript is a powerful tool that allows developers to introduce delays in their code execution. It’s commonly used for animations, asynchronous operations, and scenarios where you need to schedule a function to run after a certain amount of time has passed. However, there’s an interesting behavior when using a delay of 0 with setTimeout() that might seem unexpected at first. In this article, we’ll explore the concept of setTimeout() with a delay of 0 and understand how it behaves.
The Basics of setTimeout()
Before diving into the behavior of setTimeout with a delay of 0, let’s briefly recap how the function works. The setTimeout function takes two arguments: a callback function (the code you want to execute after the delay) and the delay time in milliseconds.
Here’s the basic syntax:
setTimeout(callbackFunction, delayTime);
When you use setTimeout, the JavaScript engine sets a timer to wait for the specified delay time. After the delay expires, the provided callback function is added to the message queue, and the JavaScript event loop picks it up for execution when the call stack is empty.
The Curious Case of Delay 0
Now, here’s where things get interesting: using a delay of 0 milliseconds with setTimeout. At first glance, you might assume that passing a delay of 0 would result in the callback function running immediately. However, this is not the case.
When you use setTimeout(callback, 0), you’re actually instructing the JavaScript engine to schedule the callback function to be executed as soon as possible, but not immediately. In other words, the function is placed in the message queue just like any other asynchronous task, waiting for the call stack to clear.
Example:
Let’s illustrate the behavior of setTimeout() with a delay of 0 using a practical example:
console.log("Start");
setTimeout(function() {
console.log("Callback executed");
}, 0);
console.log("End");
In this example, you might expect the output to be:
Start
Callback executed
End
However, due to the asynchronous behavior, the actual output will be:
Start
End
Callback executed
Why Use a Delay of 0?
You might wonder why anyone would want to use `setTimeout` with a delay of 0 if it doesn’t execute the function immediately. The reason lies in JavaScript’s single-threaded nature and its event-driven architecture. By using a delay of 0, you allow other tasks, such as rendering updates or user interactions, to take place before your callback is executed. This can help prevent blocking the main thread and ensure a smooth user experience.
Conclusion :
Using setTimeout() with a delay of 0 might seem a bit surprising, but it’s an important concept to grasp in JavaScript’s asynchronous world. It allows you to effectively schedule a task to be executed as soon as the call stack is clear, without blocking the main thread. This can be particularly useful for scenarios where you want to defer a function’s execution until the current execution context has finished. As you journey through JavaScript, this trick will be your secret to creating smoother, glitch-free web experiences. Happy coding!
I faced a similar problem, after adding the tailwind classes to the html elements and then saved the file while the live server is running, the browser doesn't reflect the changes until I manually reload the browser.
You might be using one of the two popular live server extension, either Live Preview by Microsoft or Live Server by Ritwick Dey
To fix this issue for both of them -- Go in the extension settings and configure it as shown below
For Live Preview by Microsoft --
Live Preview --> Settings --> Auto Refresh Preview --> change it to "On changes to saved files" --> Restart the live server and you are good to go
For Live Server by Ritwick Dey --
Live Server --> Settings --> Full Reload --> Enable it --> Restart the live server and it will start working
public class OldFeatureService implements FeatureService{
@Service("oldFeatureService")
public String testMe() {
return "Hello from OldFeatureService";
}
}
public class NewFeatureService implements FeatureService{
@Service("newFeatureService")
public String testMe() {
return "Hello from NewFeatureService";
}
}
By default, springboot uses the bean with @Qualifier("OldFeatureService"). When the flag is enabled, it looks for the alterbean=newFeatureService
I found the perfect solution!
A tried so many tools (online converters, pandoc, md-to-pdf, grip, vscode extensions). None of them produced exactly same formatting as in GithHub.
What I did was edit the HTML directly in the browser to leave only the desired part of the window visible.
So I just opened markdown file in github -> opened developer console -> found the html-element with my content -> copy the element -> hide parent element with all content in the page -> insert my copied element near -> ctrl + P -> print to pdf.
P.S.: I suppose this solution only works well for relatively small files. 🙂
However, it feels very clunky, especially having to restrict the categories with a maxLevel to prevent duplication, so I'm sure there must be a better way?
Cordon and drain node - Cordoning a node marks it as unschedulable, preventing new Pods from being assigned, while draining evicts the workloads running on those nodes without disruption.
Delete actual node
If you want to keep using NAP it is recommended to use a custom boot disk and SSD.
“Try running pip install python-telegram-bot in your terminal. If it doesn’t work, make sure pip is updated using python -m pip install --upgrade pip, and that you're not using a restricted environment like school/college PC with admin rights disabled.”
In Delphi, you can assign a component’s property values before the main form is created by modifying the code in the project (.dpr) file — create the form manually using Application.CreateForm, then set the properties before showing it.
It seems like external libraries might not be allowed, but there is a chance that I could use python-pptx in the python_user_visible environment, though I’m not sure. Alternatively, I could create an HTML skeleton for the user to download and use with a tool. Maybe a better approach would be to provide a CSV or JSON script with a timeline, text, and voice references, as many text-to-video platforms support imports in those formats. I’ll generate a CSV with this approach, allowing for easy importing.
The code works well to concatenate the 2 columns. How would you add a 'space' between the ranges such as in First_Name " " Last_Name " ? When I try to add the space, I get type mismatch
.Evaluate("=B:B & " " & D:D") ' Doesn't work with space added. Gives type mismatch
In ROS, roslaunch uses the max_exposure parameter to set the maximum exposure time for a camera sensor. This controls how long the sensor collects light, helping to optimize image brightness and prevent overexposure in bright environments.
The issue likely stems from how Visual Studio runs the application in a different runtime environment compared to PowerShell or a direct EXE execution. While the credentials and identity are the same, Visual Studio may not propagate Windows authentication tokens correctly or might introduce differences in TLS settings or request headers. This can lead to a 500 Internal Server Error from the Azure DevOps Server REST API. Running the app directly outside Visual Studio, setting SecurityProtocol to TLS 1.2, and comparing network requests using Fiddler can help identify the root cause.
Using Databricks notebook autocomplete we found class which contains all databricks-related configurations - com.databricks.sql.DatabricksSQLConf.
Inspecting this file public members we found setting which disables executor broadcast join - spark.databricks.execution.executorSideBroadcast.enabled.
Disable of executor broadcast resolved our problem - no problem with broadcasting anymore and AQE works fine.
It is too bad that Databricks has a lot of properties which affect query execution, but they are not documented.
I directly spoke with an engineer from the hosting provider, instead of relying on the general tech support representative who initially suggested upgrading the hosting plan. After further debugging and investigation, the engineer confirmed that cPanel does not support the necessary runtime environment — specifically:
Native binary support is limited
WASM execution is often restricted
V8 runtime access is restricted in shared hosting environments
Given these limitations, I decided not to upgrade to a VPS. Instead, I deployed the bot using Google Cloud Run, which allows us to scale more flexibly as the user base grows. The deployment was straightforward. I simply containerized the project using Docker and deployed it.
While Cloud Run may be more expensive at large scale, it provides a scalable and efficient solution that fits our current needs.
you can try BleuIO. it works for both central and peripheral role. you can mock any BLE device with it. The AT command available on the device makes it easy to work with BLE application.
Building on the answers from @norlihazmey-ghazali here's what's working for me, with explanation below:
let isCleanedUp = false;
async function cleanUp() {
// waiting for some operations to be done
isCleanedUp = true;
}
app.on("before-quit", (event) => {
if (!isCleanedUp) {
event.preventDefault();
cleanUp().then(() => app.quit());
}
});
What's the difference?
The callback function for the before-quit event is not asynchronous. Passing an async function is the same as passing a synchronous function that returns a pending promise.
async function asynchronous1() {
// ...
}
function asynchronous2() {
return new Promise((resolve, reject) => {
// ...
resolve();
});
}
Calling either of those two functions outside of an async context returns a promise that can either be stored somewhere or handled whenever it settles.
function synchronous() {
const pendingPromise = asynchronous1();
// synchronous code, promise is still pending
pendingPromise.then(() => {
// inside this context the promise has settled
});
}
Why does this matter?
There's no indicator in Electron documentation that the callback is handled as an asynchronous function. So no matter what the callback returns, Electron will continue with its synchronous code without waiting for a returned promise to settle.
Using the code from earlier, it could look something like this:
function async callback(event) {
console.log("called callback");
if (!isCleanedUp()) {
console.log("not cleaned up yet");
event.preventDefault();
await cleanUp();
console.log("quitting after cleanup");
app.quit();
}
}
function electronHandling(event) {
console.log("call all before-quit handlers");
callback(event);
if (isDefaultPrevented(event)) {
return;
}
console.log("call all quit handlers");
// ...
console.log("closing the app");
// ...
}
Seeing that electronHandling is synchronous, the output of above code looks like this:
call all before-quit handlers
call all quit handlers
closing the app
called callback
not cleaned up yet
quitting after cleanup
With a small adjustment in the callback you can make the execution order more obvious:
function callback(event) {
console.log("synchronous callback");
return new Promise((resolve, reject) {
console.log("called callback");
if (!isCleanedUp()) {
console.log("not cleaned up yet");
event.preventDefault();
cleanUp().then(() => {
console.log("quitting after cleanup");
app.quit();
resolve();
});
}
});
}
This second callback will produce the following output:
call all before-quit handlers
synchronous callback
call all quit handlers
closing the app
called callback
not cleaned up yet
quitting after cleanup
Why can an asynchronous callback still work correctly?
The action of a promise is executed as a microtask. While the handling of calling the registered callbacks is synchronous, there might still be some asynchronous tasks in the Electron code that allow microtasks to execute before the app has fully quit. So it is possible that a well placed console.log() is giving a microtask enough time to run a cleanup that's not within the javascript thread even though it is not awaited properly. Which is not fun to debug by adding logs, so prefer the proper solution over one that's working by chance
using the above property google sign-in issue (/login?error) in scala spring-boot application has been resolve.
org.springframework.security.oauth2.core.OAuth2AuthenticationException: [invalid_redirect_uri_parameter]
at org.springframework.security.oauth2.client.authentication.OAuth2LoginAuthenticationProvider.authenticate(OAuth2LoginAuthenticationProvider.java:110) ~[spring-security-oauth2-client-5.1.5.RELEASE.jar:5.1.5.RELEASE]
Simple way - Using 'Select - action' for Columns and 'For each' - action to get combined Rows to get final Result: enter image description here
Workflow - Run Result
Workflow Description:
Manual Trigger added
Parse JSON - action to fetch your received data
Select - action added, to fetch the columns: to read 'name'
to read 'name' : select- range(0,length(first(outputs('Parse_JSON')?['body']?['tables'])?['columns']))
map - first(outputs('Parse_JSON')?['body']?['tables'])?['columns']?[item()]?['name']
4. Initialize an variable - append to get out put
5. Added for each action to read 'rows' datas towards selected item in the earlier step
6. Compose to get - final Primary Result
for each - first(outputs('Parse_JSON')?['body']?['tables'])?['rows']
select - range(0,length(body('Select_column')))
map - body('Select_column')?[item()] Vs items('For_each_rows')?[item()]
Reasons:
Blacklisted phrase (1): enter image description here
The error "cannot get into sync" and the subsequent related ones appear when the correct serial port is not selected. Can you check and verify the correct serial port is selected. In the IDE, you can find it in Tools-> Port . In most of the cases, /dev/ttyACM3 should be selected.
The values from user properties are passed to the event only if the value is not equal to the previous one, so it turns out that if there are no changes, then user_properties is present only in the first event.
To multiply user_properties to all events when uploading to Bigquery, you need to add the desired fields from user_properties to Custom definitions
@Composable
fun SplashRoute(
navController: NavController,
viewModel: SplashViewModel = hiltViewModel()
) {
// Collect local-login flag and session status
val sessionState by viewModel.sessionState.collectAsState()
// Trigger a one‑time session check
LaunchedEffect(Unit) {
viewModel.checkSession()
}
// Simple UI while we wait
Box(Modifier.fillMaxSize(), contentAlignment = Alignment.Center) {
CircularProgressIndicator()
}
// React to the result as soon as it changes
when (sessionState) {
SessionState.Valid -> navController.replace(Screen.Home.route)
SessionState.Invalid -> navController.replace(Screen.Login.route)
SessionState.Loading -> { /* still showing spinner */ }
}
}
@HiltViewModel
class SplashViewModel @Inject constructor(
private val sessionRepo: SessionRepository
) : ViewModel() {
private val _sessionState = MutableStateFlow(SessionState.Loading)
val sessionState: StateFlow<SessionState> = _sessionState
/** Or call this from init { … } if you prefer. */
fun checkSession() {
viewModelScope.launch {
// 1) Local check
if (!sessionRepo.isLoggedInLocally()) {
_sessionState.value = SessionState.Invalid
return@launch
}
// 2) Remote/session check
val ok = sessionRepo.verifyServerSession()
_sessionState.value = if (ok) SessionState.Valid else SessionState.Invalid
}
}
}
4. SessionRepository Pseudocode
class SessionRepository @Inject constructor(
private val dataStore: UserDataStore,
private val authApi: AuthApi
) {
/** True if we have a non-null token cached locally. */
suspend fun isLoggedInLocally(): Boolean =
dataStore.currentAuthToken() != null
/** Hits a “/me” or token‑refresh endpoint. */
suspend fun verifyServerSession(): Boolean {
return try {
authApi.getCurrentUser().isSuccessful
} catch (_: IOException) {
false
}
}
}
Why this works
Single source of truth: All session logic lives in the ViewModel/Repository, not in your UI.
Deterministic navigation: The splash route never shows your real content until you’ve confirmed auth.
Seamless UX: User sees a spinner only while we’re verifying; they go immediately to Login or Home.
Feel free to refine the API endpoints (e.g., refresh token on 401) or to prefetch user preferences after you land on Home, but this gatekeeper pattern is the industry standard.
It’s possible, but not ideal. Installing solar panels on an aging or damaged roof may lead to future complications. It’s best to assess your roof’s condition first — and often, replacing or restoring the roof before solar panel installation saves time and money in the long run.
The error "unsupported or incompatible scheme" means that the key you're trying to use for signing the quote does not have the correct signing scheme set, or is not even a signing key.
To fix this, you must create the application key with a signing scheme compatible with the TPM's quote operation, like TPM2_ALG_RSASSA or TPM2_ALG_ECDSA, and mark it as a signing key.
Matplotlib is always plotting objects according to the order they were drawn in, not their actual position in space.
This is discussed in their FAQ, where they recommend an alternative, that is MayaVi2, and has very similar approach to Matplotlib, so you don't get too confused when switching.
You can find more information in this question, that I don't want to paraphrase just for the sake of a longer answer.
When you produce your data in that Kafka Topic, use message key like "productId" or "company/productId", this will garantee that each product will be produced in the same partition, and that will garantee for you the order of processing data of each product.
you should specify exact post number (id) and unfortunately telegram does not support many post types like music by its widget anymore and says see the post in telegram and it is not supported in the browser.
Upon reading Sandeep Ponia's answer, I went checking node-sass releases notes where I noticed my version of node was no longer compatible with the version of node-sass used by some dependencies' dependencies; I had updated to node v22.14.0 but node-sass was still running on v6.0.1 which only supports up to node v16.
Since it's not a direct dependency but a nested dependency, to solve this issue, I updated my package.json to override node-sass version in the devDependencies, which is a feature available since node v16:
I got this error too. Using Macos. It turned out this had to do with the ruby version in some way (I use rvm to manage the versions). This 'cannot load such file -- socket' message appeared when using ruby 2.4.2, but when I changed the used ruby version to 2.6.6, everything was installed just file.
