Same exact problem, did you find any solution?

michel duturfu solutions work for me,

inside android/settings.gradle, change id "com.android.application" to version "8.7.1" apply false,

in gradle-wraper.properties, change distributionUrl to https://services.gradle.org/distributions/gradle-8.9-all.zip.

Just a quick note — if you’re working with historical stock prices, it’s super important to adjust for splits and dividends. Otherwise the data can be misleading, especially over longer periods.

This schema doesn’t include that, so anyone using it might want to handle those adjustments separately.

Or, if you want to skip that step, historicaldata.net provides US stock data (daily + 1-min), already adjusted for splits and dividends. Could save some hassle.

While Firebase Storage security rules can read from Cloud Firestore, they cannot read from the Realtime Database. So what you're trying to do is not a supported feature.

Also see my answer here: Creating Firebase Storage Security Rules Based on Firebase Database Conditions

you need to import 'dart:developer'
import 'dart/developer';

I just attended the PW classes . It was really interesting and very interrective class . It was really fascinating!

You can try docuWeaver—it’s built for use cases like this. It lets you auto-generate documents from custom objects like Property using merge tags, and with a simple Flow, you can automate the whole process. The generated docs show up under the Related tab and can be viewed or downloaded anytime. No code, quick setup, and works great with templates you design and can export this documents either in Docx or PDF format.

I switched to Expanders as suggested and it solved my problem and works just as well or better than TreeViews.

Found the answer to the "Unable to parse expression" error. Apparently, for reasons unknown to me, the dataflow must not have spaces in the name. I switched my data flow to all snake case and it ran perfectly.

As the migration guide says(v2 to v3):

Freezed no longer generates .map/.when extensions and their derivatives for freezed classes used for pattern matching. Instead, use Dart's built-in pattern matching syntax.

The same values appearing could be the issue of the tablix used in report design. Share the report design so we can outrule that possibility as well

The issue was slightly different in my case. Mouse wasn't working at all. Tried these solutions and few others, nothing worked until i finally came across this blog
https://github.com/alacritty/alacritty/issues/2931

In short, trying TERM=xterm-256color vi -u NORC <file> worked for me. So i exported this variable in my ~/.zshrc file

This issue happens because non-JVM platforms like wasmJs cannot use type reflection to instantiate ViewModels via the viewModel() function without an explicit initializer.

✅ Fix

Instead of relying on reflection, explicitly create your ViewModel and pass it into your Composable function manually.

✅ Working fix:

fun main {
ComposeViewport(viewportContainerId = "composeApplication") {

    val viewModel: MainViewModel = MainViewModel() // ✅ Create instance manually

    App(viewModel) // ✅ Pass it in

}
}

📚 Source

JetBrains Docs:

https://www.jetbrains.com/help/kotlin-multiplatform-dev/compose-viewmodel.html#using-viewmodel-in-common-code:

\>"On non-JVM platforms, objects cannot be instantiated using type reflection. So in common > code you cannot call the viewModel() function without parameters."

You can use code --wait to wait for the user to finish editing the file.

Here's a Typescript version of @Heniker's answer with perhaps better naming.

function pushToExecQueue<T>(fn: (...args: any[]) => Promise<T>): (...args: any[]) => Promise<T> {
  let inprogressPromise = <Promise<T>>Promise.resolve();
  return (...args) => {
    inprogressPromise = inprogressPromise.then(() => fn(...args));
    return inprogressPromise;
  }
}

And perhaps a somewhat cleaner/clearer way of using it is

pushToExecQueue(myAsyncFunction)("Hi", "my second parameter", etc);

I would understand if this happens in February.

No, it is not supported. Methods always mean side effects and we don't want you to run side effects in a computed.

I hope that sounds reasonable.

You can actually publish function apps without storage account using ARM template, but its not recommended and i think my function app is eating memory because of this (storage of files in RAM?)

1. Open your VS Code workspace

2. In the left sidebar, look for a .vscode folder.

3. Inside .vscode, locate or create a file named settings.json.

4. Add the following configuration:

   {
       "github.copilot.enable": {
           "*": false
       },
   }
   

5. Save the file. VS Code will apply the setting immediately.

Fixed this by updating to the latest version of langchain and pinecone.

It caused by PEP 695 with the new syntax introduced with it. So there is no way to not specify T: (int, float) in Subclass

If you're encountering the error "Cannot read Server Sent Events with TextDecoder on a POST request," it's likely because Server-Sent Events (SSE) only work with HTTP GET requests, not POST. SSE is designed to create a one-way channel from the server to the client, and it requires the use of GET for the connection to remain open and stream data.

To fix this issue:

Use a GET request instead of POST when setting up your EventSource.

If you need to send data to the server before opening the stream, do it through a separate POST request, then initiate the SSE with GET.

Bonus tip for Fintechzoom developers: If you're building real-time financial dashboards or alerts on platforms like Fintechzoom, SSE is great for streaming stock updates or crypto prices efficiently. Just ensure your API uses GET for these data streams.

If you are using prompt template of langchain to build prompt, You will face this error. To fix in such case, send prompt as simple string.

If you are using Vaadin 24.7, make sure that in your application the annotated service is available in Spring: browser callables are components, but Spring does not load components from other packages if not instructed to do so.

Had the same problem.

const universGrid = new window.prestashop.component.Grid('TdpUnivers');
const gridExtensions = window.prestashop.component.GridExtensions;

universGrid.addExtension(new gridExtensions.ReloadListExtension());

This actually works in 8.2.0

Hopes it can helps

I find that for push notifications on Sunmi devices without Google Services, consider using a third-party service like Pushy (https://pushy.me/). It offers a Flutter SDK and supports Android beyond just FCM, potentially working on Sunmi devices. Thorough testing on your specific Sunmi models is crucial to ensure reliability.

This solved my problem https://github.com/expo/expo/issues/26175

Use sudo on Linux

Please consider using our CheerpJ Applet Runner extension for Chrome (free for non-commercial use). It is based on CheerpJ, a technology that allows to run unmodified Java applets and applications in the browser in HTML5/JavaScript/WebAssembly.

Full disclosure, I am CTO of Leaning Technologies and lead developer of CheerpJ

I found the answer: An admin needs to approve the terms of service. Not just any user.

You can use the background task in the FastApi and return an job_id for the long processing task with 202 status code, for more information you can read this link.

Also you can write another endpoint in terms of returning job status and also its result. Also it depends on the your code design and also your architecture.

Setting Spring version to 4.2.1 worked for me !

To view jar files content, you could add Archive Browser plugin to your android studio

You're comparing the sale_month, which is a number (from EXTRACT(MONTH FROM sale_date)) to a string ('April'). That will not work - which is likely why you're getting no rows.

Replace 'April' with the numerical value for April, which is 4. i.e.

WHERE m.sale_month = 4;

The question refers to link sharing not for Contact links. The URL you shared points to a feature request not to an actual feature.

Use the Community Visualisations- metric funnel https://lookerstudio.google.com/u/0/reporting/1Iv4MphSjGXrHrBuQY65Zp6eAJHFvrgEZ/page/Sxi5

if you are using bind try it:

YourRichTextBox.DataBindings.Add("Text", YourObjetc, "YourText", true, DataSourceUpdateMode.Never);

how did you solve it? I also encountered this problem. I used the contract to go to cpi guard's mintV2. The guard configuration is []

SQL Server 2005 and later all support sys.tables

select * from tempdb.sys.tables

note: You can access all Global Temporary Tables (prefixed with ##), but only your own session's Local Temporary Tables (prefixed with #). Remember, stored procedures use separate sessions.

It depends if you have experience with OOP or MVC frameworks or not. If not, I recommend you to start with OOP fundamentals and have a good resource tutorial, you can check laracasts they are the recommended training partner. Also there are good youtube tutorials on lot of channels which you are explore. Once you gain the basic understanding you can migrate your project.

Sharing few resources to you.

https://www.youtube.com/watch?v=1NjOWtQ7S2o&list=PL3VM-unCzF8hy47mt9-chowaHNjfkuEVz

https://www.youtube.com/watch?v=ImtZ5yENzgE&pp=ygUQbGFyYXZlbCB0dXRvcmlhbA%3D%3D

Zip file [...] already contains entry 'res/drawable/notification_bg.xml', cannot overwrite

This helped me:

packagingOptions {
        exclude 'AndroidManifest.xml'
        exclude 'resources.arsc'
        resources.excludes.add("res/drawable/*")
        resources.excludes.add("res/layout/*")
    }

Можно установить требуемый пакет

dnf install redhat-rpm-config

You can use a blend, create a table for filtered for each type of waste ( upto 4) and use an outer join to connect them. you have not provided enough information for me to provide an example.

SELECT * FROM table_name ORDER BY id DESC LIMIT 1;

If you define batch_size before initializing your model, such as:

batch_size = hp.Int('batch_size', min_value=1, max_value=10, step=16)
model = Sequential()

then it works.

We experience the same issue off and on. Usually renaming the store procedure that the report is running fixes the issue. However, it's really annoying and would like to know what the cause is.

You're reading data too fast, and the serial input is not guaranteed to end cleanly with \n before your code tries to process it, and that’s why you are getting incomplete or "corrupted" lines.

1. Use a dedicated thread for serial reading

Tkinter is single-threaded. If you read from a serial in the same thread as the GUI, the GUI slows down (and vice versa), especially when you move the window.

Run the serial reading in a separate thread, and put the valid data into a queue.Queue() which the GUI can safely read from.

import threading
import queue

data_queue = queue.Queue()

def serial_read_thread():
    read_Line = ReadLine(ser)
    while True:
        try:
            line = read_Line.readline().decode('utf-8').strip()
            parts = [x for x in line.split(",") if x]
            if len(parts) >= 21:
                data_queue.put(parts)
            else:
                print("⚠️ Invalid line, skipped:", parts)
        except Exception as e:
            print(f"Read error: {e}")

Start this thread once at the beginning:

t = threading.Thread(target=serial_read_thread, daemon=True)

t.start()

2. In your Tkinter loop, check the queue

Use after() in Tkinter to periodically fetch from the queue and update the UI:

def update_gui_from_serial():
    try:
        while not data_queue.empty():
            data = data_queue.get_nowait()
            print(data)
    except queue.Empty:
        pass
    root.after(50, update_gui_from_serial)  

Please let me know if this works and if you need any further help! :)

You can use QSignalSpy from the QTest module:

QNetworkRequest re;
// ... 
QNetworkReply * reply = m_netManager->get(re); 
QSignalSpy spy(reply, &QNetworkReply::finished);
bool ok = spy.wait(std::chrono::seconds{2});

see https://doc.qt.io/qt-6/qsignalspy.html#QSignalSpy-1

how did u resolve it finally ?? i'm stuck in the same problem.

There is a design pattern published for this. I haven't implemented it myself yet so I can't speak on the nuance but as advertised it does scim provisioning of users via Okta. Same concept could conceptually be applied to other tech stacks.

https://github.com/aws-samples/amazon-connect-user-provision-with-okta

Try flutter_background_service
https://pub.dev/packages/flutter_background_service/example

This is probably the best example that I have found. Its not the exact tech stack you are looking for but provides good guidance on how to do it; you'll have to take the concepts and make it work with your tooling of choice.

https://github.com/aws-samples/amazon-connect-gitlab-cicd-terraform

It is really complex.

I'm using these selections:

1)Eclipse IDE for C/C++ Developers (includes Incubating components),Version: 2025-03 (4.35.0),Build id: 20250306-0812

2)MSYS2 (msys2-x86_64-20250221)

3)install MinGW as suggestion:

local/gcc-libs 13.3.0-1
    Runtime libraries shipped by GCC
local/mingw-w64-ucrt-x86_64-gcc 14.2.0-3 (mingw-w64-ucrt-x86_64-toolchain)
    GNU Compiler Collection (C,C++,OpenMP) for MinGW-w64
local/mingw-w64-ucrt-x86_64-gcc-libs 14.2.0-3
    GNU Compiler Collection (libraries) for MinGW-w64
local/mingw-w64-x86_64-gcc 14.2.0-3 (mingw-w64-x86_64-toolchain)
    GNU Compiler Collection (C,C++,OpenMP) for MinGW-w64
local/mingw-w64-x86_64-gcc-libs 14.2.0-3
    GNU Compiler Collection (libraries) for MinGW-w64

(I don't know if I need to select ucrt or x86_64 version)

4)install wxWidgets in MSYS2:

local/mingw-w64-ucrt-x86_64-wxwidgets3.2-common 3.2.7-1
    Static libraries and headers for wxWidgets 3.2 (mingw-w64)
local/mingw-w64-ucrt-x86_64-wxwidgets3.2-common-libs 3.2.7-1
    wxBase shared libraries for wxwidgets 3.2 (mingw-w64)
local/mingw-w64-ucrt-x86_64-wxwidgets3.2-msw 3.2.7-1
    A C++ library that lets developers create applications for Windows, Linux and UNIX (mingw-w64)
local/mingw-w64-ucrt-x86_64-wxwidgets3.2-msw-libs 3.2.7-1
    wxMSW shared libraries for wxwidgets 3.2 (mingw-w64)

I can create "hello world" application and run it with Eclipse(C++ Managed Build).

But, when I turn to wxWidgets, blocked at the first line:

#include <wx/wx.h>

'wx/wx.h' file not found [pp_file_not_found]

The directory definition is right,and the file exists.

But I did not configure the wxWidgets(in Eclipse) indeed after installed in MSYS2,for I don't know what to do.

The other lines like "wx/...." will trigger the same error if I replaced "#include <wx/wx.h>" with absolute path.

I have searched web ,I saw there are many configuration need to finish in Eclipse if installing wxWidgets directly, should I do the same work after installed them in MSYS2?

Thanks for help.

Set the reraise=True on the retry. This will make it raise the last exception it captured instead of the RetryException.

@retry(stop=stop_after_attempt(6), wait=wait_fixed(5), reraise=True)

Polling messages from Amazon SQS seems simple — until it’s not. You need to continuously fetch messages, process them concurrently, delete the successful ones, and retry failures with appropriate delays. Getting this right, especially at scale, means dealing with multithreading, visibility timeouts, and reliability — often with verbose or heavyweight tooling.

Libraries like Spring’s SQS support exist, but they come with trade-offs: vendor lock-in, complex dependency graphs, and upgrade pains that stall your agility.

That’s exactly why I built java-sqs-listener — a small, focused library designed for reliability without the bloat.

👉 View the GitHub repo

📦 Check it out on Maven Central

📂 Explore the Spring Boot Example

Disclaimer: I’m the author of this library.

They way is done now is quite confusing, on a single repo it is not evident to find how you can push tags, I would expect to have an option at least to push tags automatically. On multi-repo the menu is gone and you're left in the dark on how to get your tags to the remote. Microsoft could clean up their act a bit on this.

The problem in my case was, that I had a "choice"-type column and tried to send a value to it that wasn't a valid choice.

See Chris' link. All of the other documentations say that there is an Event tab. Use the Compile Tab. The button is on the right. Project MB3 - Properties - Compile, Build Events

if you change the part where you are testing the time over 60 minutes to the following it will handle using different add time parameters

IF %timeminute% GEQ 60 (

set /a timeminute=%timeminute% - 60

set /a timehour=%timehour% + 1

IF %timeminute% lss 10 set timeminute=0!timeminute!

)

The InkWell doesn't have margin/padding. the Card on the other hand does have a default margin

Card(
  margin: EdgeInsets.zero,
  child: Container(),
);

turns out this is a safety issue (software compatible issue). in clickhouse, there's an option to
set output_format_json_quote_64bit_integers = 0
and it will work correctly

Oh, okay. My version of django doesn't support that format.

To move an Azure App Service to another existing App Service Plan, follow these steps:

1. Ensure both plans are in the same resource group and region.

2. Disable VNET integration if configured.

3. Navigate to "App Services" in the Azure portal and select your app.

4. Under "App Service Plan," select "Change App Service plan" and choose the target plan.

5. Confirm and move the app.

For more details, refer to the official documentation.

You may try this way :

Install "pipx" if not already installed:

sudo apt install pipx

Then install the package:

pipx install keyboard

You can extract from Mac terminal using

tar -xzvf .jar

I faced a similar problem

Can you tell me if you managed to solve it?

Bruno has a feature for this: https://docs.usebruno.com/auth/oauth2-2.0/client-credentials

You can enter the Access Token URL and your Client ID and Secret and how the token should be used. Also you can check the "Automatically fetch token if not found" tick to do this automatically before your actual request if needed.

You're almost there! To enable multi-turn search, you need to include a conversation object and maintain a conversation_id across queries. The official docs are sparse, but the key is managing that context in SearchRequest. Hope Google updates their docs soon!

Fixed by removing encryption hash.

I also encountered the same error. I have a training pipeline where firstly fine-tuning a DistilBERT model from HuggingFace and then further tune my custom layers. I was wondering how it relates to the loss and metrics used. Is it fine to use these?

loss="binary_crossentropy"

and

metrics=["accuracy"]

And by the way, could anyone please check what's happening for me with this error? I have no clue. Thank you guys!

My model:

def build_model(hp):
    inputs = tf.keras.layers.Input(shape=(X_train_resampled.shape[1],))  # (None, embedding_size)
    
    # Additional Layers
    x = tf.keras.layers.Reshape((3, -1))(inputs)

    # Bi-directional LSTM Layer
    x = tf.keras.layers.Bidirectional(
        tf.keras.layers.LSTM(
            units=hp.Int("lstm_units", min_value=64, max_value=256, step=64),
            return_sequences=False
        )
    )(x)

    # Dropout Layer
    x = tf.keras.layers.Dropout(
        rate=hp.Float("dropout_rate", 0.1, 0.5, step=0.1)
    )(x)

    # Dense Layer
    x = tf.keras.layers.Dense(
        units=hp.Int("dense_units", min_value=32, max_value=256, step=32),
        activation="relu"
    )(x)

    # Output
    outputs = tf.keras.layers.Dense(1, activation="sigmoid")(x)

    model = tf.keras.Model(inputs=inputs, outputs=outputs)

    # Build the Model with dummy data
    model(tf.zeros((1, X_train_resampled.shape[1])))

    # Compile the Model
    model.compile(
        optimizer=tf.keras.optimizers.Adam(
            learning_rate=hp.Float("learning_rate", 1e-5, 1e-3, sampling="LOG")
        ),
        loss="binary_crossentropy",
        metrics=["accuracy"]
    )
    return model

My Tuning:

kf = KFold(n_splits=5, shuffle=True, random_state=42)

best_val_acc = 0.0
best_model_path = None
bestHistory = None
bestFold = None

for fold, (train_index, val_index) in enumerate(kf.split(X_train_resampled)):
    print(f"\nCustom Classifier Fold {fold + 1}")

    X_train_fold, X_val_fold = X_train_resampled[train_index], X_train_resampled[val_index]
    y_train_fold, y_val_fold = y_train_resampled[train_index], y_train_resampled[val_index]

    train_fold_dataset = tf.data.Dataset.from_tensor_slices((X_train_fold, y_train_fold)).batch(4)
    val_fold_dataset = tf.data.Dataset.from_tensor_slices((X_val_fold, y_val_fold)).batch(4)

    tuner = Hyperband(
        build_model,
        objective="val_accuracy",
        max_epochs=CUSTOM_EPOCHS,
        directory=os.path.join(TRAINING_PATH, "models"),
        project_name=f"model_2_custom_classifier_fold_{fold + 1}"
    )

    # Monkey patch to bypass incompatible Keras model check
    def patched_validate_trial_model(self, model):
        if not isinstance(model, tf.keras.Model):
            print("⚠️ Model is not tf.keras.Model — bypassing check anyway")
            return
        return

    # keras_tuner.engine.trial.Trial._validate_trial_model = patched_validate_trial_model
    keras_tuner.engine.base_tuner.BaseTuner._validate_trial_model = patched_validate_trial_model


    tuner.search(
        train_fold_dataset,
        validation_data=val_fold_dataset,
        epochs=CUSTOM_EPOCHS
    )

    best_hp = tuner.get_best_hyperparameters(1)[0]
    print(f"✅ Best hyperparameters for fold {fold + 1}: {best_hp.values}")

    model = build_model(best_hp)

    # print the model's summary after complex modifications
    print("Model summary after hyperparameter tuning:")
    model.summary()

    history = model.fit(train_fold_dataset, validation_data=val_fold_dataset, epochs=CUSTOM_EPOCHS)

    val_acc = history.history['val_accuracy'][-1]
    model_save_path = os.path.join(TRAINING_PATH, "models", f"custom_classifier_fold_{fold + 1}")
    if val_acc > best_val_acc:
        best_val_acc = val_acc
        best_model_path = model_save_path
        bestHistory = history
        bestFile = fold

    model.save(os.path.join(TRAINING_PATH, "models", f"custom_classifier_fold_{fold + 1}.h5"))

if best_model_path:
    print(f"Saving the best model from fold with validation accuracy: {best_val_acc}")
    best_model_path = os.path.join(TRAINING_PATH, "models", f"BEST_custom_classifier.h5")
    model.save(best_model_path)
    print(f"✅ Best model saved at: {best_model_path}")

    modelType = "Custom Layers"
    plot(bestHistory, fold, modelType)
    print(f"✅ Convergence plots saved for {modelType} at fold {bestFold + 1}.")

Thanks for your time here!

In pubspec.yaml file override dependency as shown below:

dependency_overrides: 
  agora_rtm: ^2.2.1
  iris_method_channel: ^2.2.2

If you want to change the background of a paper on runtime:

paper.options.background = { color: '#FF0000' };
paper.render()

Testet with jointjs v4.1

sfdsfdsfdsf drfg dfgdfgfd mkznsc,k lkdnjas klasdk hnjasdkl dhjas klihjasdlasjdliajsdolijau dapisdu as o;lqkdw; kd pqwid pq[wie[qwke[pqw e[qwie0[ qiweo[ qkiwe queiq][we wo

use this-> location.href = './home'; instead of this-> this.router.navigate(['./home']);

As a temporary solution, avoid using Turbopack and run the development server with next dev instead. More details available here: https://github.com/vercel/next.js/issues/77522

. Jsjsjsnkz jsd sjsiie s ejeje sjhhd Sjjdjd. Djsjrjd. Jejeie Uejdjejeb jejeie ek ejeie I

The problem is not that the path is wrong, but the fact you put it next to your main.ts. ThreeJS treats the binary .glb file as a static asset, this means they have to be in the /public/ directory to be able to work in your browser. So the solution is to put it in the public folder of your project structure.

Hey I am facing the same issue. Did you find a solution to it?

For anyone who is still experiencing this issue, this helped me:

cd ios
rm -rf ~/Library/Caches/Cocoapods
rm -rf ~/Library/Developer/Xcode/DerivedData
pod deintegrate
pod setup
pod install

Found the answer here. Editing the IAP description in Monetize with Play -> Products -> In-app products fixed the permission error.

If you are using ESLint 9's Flat Config, please configure it like this:

import { flatConfig as pluginNext } from '@next/eslint-plugin-next';

export default [
    // ...
    pluginNext.coreWebVitals,
    // ...
];

Why write it this way? Take a look at the @next/eslint-plugin-next source code. It's very easy to understand.

I was facing the same issue and tried several solutions, but nothing worked. Finally, I decided to install a different version of Node.js. Previously, I was using Node 16, but after switching to Node 18 using NVM, everything started working smoothly.

If you don't have NVM, I recommend uninstalling your current Node.js version and then installing the same or a new version. It should work for you as well!

I found this one is a bit long-winded but seems to work:

^(?!BG|GB|NK|KN|TN|NT|ZZ)[a-ceghj-pr-tw-zA-CEGHJ-PR-TW-Z][a-ceghj-pr-tw-zA-CEGHJ-NPR-TW-Z]([ ]{1}|)[0-9]{2}([ ]{1}|)[0-9]{2}([ ]{1}|)[0-9]{2}([ ]{1}|)[a-dA-D]$

Allows for upper or lower case, and allows optional space between first two letters and numbers, allows numbers with optional spaces between groups of two, and an optional space before the last letter.

Or just pass a string literal, then equals should work correctly

assertThat(obj.getTotal()).isEqualTo(BigDecimal.valueOf("4.00"))

You have break statements in nested loops: This means that when your alpha-beta pruning triggers it only exits the inner for-loop. Have it return the value there instead.

Try using this version, it should resolve the issue.

transformers==4.50.3

Another approach without helper columns:

=COUNTIFS($E$2:$E$7,E2,$F$2:$F$7,F2)+COUNTIFS($E$2:$E$7,F2,$F$2:$F$7,E2)

Result:

I tried this method but the problem is still the same, please help My site link StapX

After several weeks of discussion with Microsoft, it appear that this is because Warehouse doesn't support Multiple Active Result Sets (MARS). Setting MultipleActiveResultSets=0 in option resolve the problem.

so, the final method for me was :

        $connectionParams = [
            'dbname' => 'my_DBname',
            'user' => [email protected]',
            'password' => 'mypassword',
            'host' => 'xxxxxxxxxxxxxx.datawarehouse.fabric.microsoft.com',
            'driver' => 'pdo_sqlsrv',
            'port' => 1433,
            'driverOptions' => [
                'Authentication' => 'ActiveDirectoryPassword',
                'MultipleActiveResultSets' => 0,
                'Encrypt' => 1,
                'TrustServerCertificate' => true
            ]
        ];
        $this->conn = \Doctrine\DBAL\DriverManager::getConnection($connectionParams);

GridDB supports pagination using LIMIT and OFFSET. You can adjust the OFFSET based on the page number to fetch a limited number of rows per query, improving performance with large datasets.

I fixed it. The issue was the fact that Spring scans for components only within the folder the starting class is located at. After moving it to the main folder everything started working as expected, with Spring's getBean giving me instances of classes I needed.

Try running your script with sudo:

sudo python3 your_script.py

On Linux, pyautogui.click() sometimes requires elevated privileges to simulate mouse clicks, especially on newer Ubuntu versions.

I also ran into it.

Just a guess: When using the mount namespace from a target process (either with "-m" or with "--all" option), it does not have the mount-points from the outside linux system. That means, it only can use processes that are viewable within the target mount namespace.

When using the outside mount namespace, I can run a command like

nsenter -p --target=$(docker inspect -f '{{.State.Pid}}' <container-id>) /bin/bash

For explanation: the docker container I used for this test, is based on a busybox and only has /bin/sh (not /bin/bash) within its mount namespace.

Regards, cwo

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Plačiaformatės spaudos paslaugos vienoje vietoje ir viska kita kas cia bus parasyta yra parasyta

In my case branch was there because in my new repo's default branch is not master, it is main, but I tried to checkout to master instead of main :) . So just cross-check the branch weather you have it on your local or not.

"pkg install jython"

My termux got an early install build-essential and python , pip clang gcc and debugger before . I guess u can directly try install jython. The jython package installs openjdk or the javac and java. I dont check yet if there is a jre installed .

Ports to aarch64 is looking for a another jdk when doing configure make i cant relate to that as an installer source looking for jdk? Glibc-runner not workn for me .

Yes it is possible to implement, as parallel function calling is implemented by autogen 0.4 onwards. Ref : https://GitHub.com/micosoft/autogen/discussions/5364

This is not a complete answer to this question, however this minimal code example is able to reproduce the Invalid Handle error.

Ths example is using the ximea python API.

from ximea import xiapi

cam = xiapi.Camera()
cam.open_device()
cam.close_device()

cam.set_framerate(30.0)

This has different behaviour to the following code:

from ximea import xiapi

cam = xiapi.Camera()
cam.set_framerate(30.0)

Both example raise an error because the Camera.set_framerate function is raising an error, however something about the initialising and the de-initalising of the camera sets up the Camera object correctly so that the (? Correct) Invalid Handle error is returned instead of the ERROR 103: Wrong parameter type error being returned

I figured out the issue. The problem was less power supply so I added 12v power hub and connected my lidar to the hub. Solved the issue!

Yes, but for some reason it's undocumented. Here it is:

https://github.com/login/oauth/.well-known/openid-configuration

I don't think there is direct way to get all messages from teams channel. Here I am telling work around that work for me. I created one microssoft list and I store all the messages there whenever there is new message add to tems channel my power automate flow calls itself and populate the list and from the list I can filter what exactly I want to get.