The issue has been resolved. After long investigation, I found out that I have not set the i18n translation properties. The examples provided by "Enhanced Grid" component are very helpful and the issue is resolved.

I had this same issue and was fixed when opening a workspace...before that I couldn't load any environments in my jupyter notebooks.

I needed this for a project, None of the solutions worked in my situation but this is what I ended up with

 def get_kwarg_for_class(cls, kwargs):
    rval = {k: v for k, v in kwargs.items() if k in inspect.get_annotations(cls)}
    return rval

I recently had the same issue with a similar module, A7670SA, and after trying other methods like adjusting the time or using TCP connections, the only solution was to update the firmware because it was possibly outdated. It worked for me.

Build plugins influence the build process itself (e.g. compilation, code generation, packaging) and, unlike normal dependencies, are not transitive, i.e. they are not used in another project.

This is “only” possible in a multi-module project. The build plugins are declared in the parent pom.xml and then apply to all submodules.

Depending on the type of application and architectural design, I would recommend a multi-module project for microservices anyway. And the apparent need for a common module is a further indication of this for me.

May have a look at this article which gives you a good starting point: https://medium.com/@balachandar.gct/multi-repo-mono-repo-multi-module-repo-and-multi-module-mono-repo-architectures-a5a81613d522

This is reported as a bug JDK-8025883 in OpenJDK

Thanks to @Robert Crovella's answer, I have modified their program to satisfy dimensions of unequal size. It seems their code will be correct only if all the dimension sizes are equal. To correct for this, I am posting my solution below:

#include <stdio.h>
#include <stdlib.h>
#include <cuda_runtime.h> 
#include <cufft.h>
#include <math.h>

#define PRINT_FLAG 1
#define NPRINTS 5  // print size

#define CHECK_CUDA(call)                                                       \
{                                                                              \
    const cudaError_t error = call;                                            \
    if (error != cudaSuccess)                                                  \
    {                                                                          \
        fprintf(stderr, "Error: %s:%d, ", __FILE__, __LINE__);                 \
        fprintf(stderr, "code: %d, reason: %s\n", error,                       \
                cudaGetErrorString(error));                                    \
        exit(EXIT_FAILURE);                                                    \
    }                                                                          \
}

#define CHECK_CUFFT(call)                                                      \
{                                                                              \
    cufftResult error;                                                         \
    if ( (error = (call)) != CUFFT_SUCCESS)                                    \
    {                                                                          \
        fprintf(stderr, "Got CUFFT error %d at %s:%d\n", error, __FILE__,      \
                __LINE__);                                                     \
        exit(EXIT_FAILURE);                                                    \
    }                                                                          \
}

void printf_cufft_cmplx_array(cufftComplex *complex_array, unsigned int size) {
    for (unsigned int i = 0; i < NPRINTS; ++i) {
        printf("  (%2.4f, %2.4fi)\n", complex_array[i].x, complex_array[i].y);
    }
    printf("...\n");
    for (unsigned int i = size - NPRINTS; i < size; ++i) {
        printf("  (%2.4f, %2.4fi)\n", complex_array[i].x, complex_array[i].y);
    }
}

// Function to execute 1D FFT along a specific dimension
void execute_fft(cufftComplex *d_data, int dim_size, int batch_size) {
    cufftHandle plan;
    int n[1] = { dim_size };
    int embed[1] = { dim_size };
    CHECK_CUFFT(cufftPlanMany(&plan, 1, n, 
                            embed, 1, dim_size, 
                            embed, 1, dim_size, 
                            CUFFT_C2C, batch_size));

    // Perform FFT
    CHECK_CUFFT(cufftExecC2C(plan, d_data, d_data, CUFFT_FORWARD));
    CHECK_CUFFT(cufftDestroy(plan));
}


__global__ void do_circular_transpose(cufftComplex *d_out, cufftComplex *d_in, int nx, int ny, int nz, int nw) {
    int x = blockDim.x * blockIdx.x + threadIdx.x;
    int y = blockDim.y * blockIdx.y + threadIdx.y;
    int z = blockDim.z * blockIdx.z + threadIdx.z;

    if (x < nx && y < ny && z < nz) {
        for (int w = 0; w < nw; w++) {
            int in_idx  = ((x * ny + y) * nz + z) * nw + w;
            int out_idx = ((y * nz + z) * nw + w) * nx + x;
            d_out[out_idx] = d_in[in_idx];
        }
    }
}

float run_test_cufft_4d_4x1d(unsigned int nx, unsigned int ny, unsigned int nz, unsigned int nw) {
    srand(2025);

    // Declaration
    cufftComplex *complex_data;
    cufftComplex *d_complex_data;
    cufftComplex *d_complex_data_swap;

    unsigned int element_size = nx * ny * nz * nw;
    size_t size = sizeof(cufftComplex) * element_size;

    cudaEvent_t start, stop;
    float elapsed_time;

    // Allocate memory for the variables on the host
    complex_data = (cufftComplex *)malloc(size);

    // Initialize input complex signal
    for (unsigned int i = 0; i < element_size; ++i) {
        complex_data[i].x = rand() / (float)RAND_MAX;
        complex_data[i].y = 0;
    }

    // Print input stuff
    if (PRINT_FLAG) {
        printf("Complex data...\n");
        printf_cufft_cmplx_array(complex_data, element_size);
    }

    // Create CUDA events
    CHECK_CUDA(cudaEventCreate(&start));
    CHECK_CUDA(cudaEventCreate(&stop));

    // Allocate device memory for complex signal and output frequency
    CHECK_CUDA(cudaMalloc((void **)&d_complex_data, size));
    CHECK_CUDA(cudaMalloc((void **)&d_complex_data_swap, size));

    dim3 threads(8, 8, 8);
    dim3 blocks((nx + threads.x - 1) / threads.x, (ny + threads.y - 1) / threads.y, (nz + threads.z - 1) / threads.z);

    // Record the start event
    CHECK_CUDA(cudaEventRecord(start, 0));

    // Copy host memory to device
    CHECK_CUDA(cudaMemcpy(d_complex_data, complex_data, size, cudaMemcpyHostToDevice));

    // Perform FFT along each dimension sequentially
    // Help from: https://forums.developer.nvidia.com/t/3d-and-4d-indexing-4d-fft/12564/2
    // and https://stackoverflow.com/questions/79574267/what-is-the-correct-way-to-perform-4d-fft-in-cuda-by-implementing-1d-fft-in-each

    // step 1: do 1-D FFT along w with number of element nw and batch=nx ny nz
    execute_fft(d_complex_data, nw, nx * ny * nz);
    // step 2: do tranpose operation A(x,y,z,w) → A(y,z,w,x)
    do_circular_transpose<<<blocks, threads>>>(d_complex_data_swap, d_complex_data, nx, ny, nz, nw);
    // step 3: do 1-D FFT along x with number of element nx and batch=n2n3n4
    execute_fft(d_complex_data_swap, nx, ny * nz * nw);
    // step 4: do tranpose operation A(y,z,w,x) → A(z,w,x,y)
    do_circular_transpose<<<blocks, threads>>>(d_complex_data, d_complex_data_swap, ny, nz, nw, nx);
    // step 5: do 1-D FFT along y with number of element ny and batch=n3n4n1
    execute_fft(d_complex_data, ny, nx * nz * nw);
    // step 6: do tranpose operation A(z,w,x,y) → A(w,x,y,z)
    do_circular_transpose<<<blocks, threads>>>(d_complex_data_swap, d_complex_data, nz, nw, nx, ny);
    // step 7: do 1-D FFT along z with number of element nz and batch=n4n1n2
    execute_fft(d_complex_data_swap, nz, nx * ny * nw);
    // step 8: do tranpose operation A(w,x,y,z) → A(x,y,z,w)
    do_circular_transpose<<<blocks, threads>>>(d_complex_data, d_complex_data_swap, nw, nx, ny, nz);

    // Retrieve the results into host memory
    CHECK_CUDA(cudaMemcpy(complex_data, d_complex_data, size, cudaMemcpyDeviceToHost));

    // Record the stop event
    CHECK_CUDA(cudaEventRecord(stop, 0));
    CHECK_CUDA(cudaEventSynchronize(stop));

    // Print output stuff
    if (PRINT_FLAG) {
        printf("Fourier Coefficients...\n");
        printf_cufft_cmplx_array(complex_data, element_size);
    }

    // Compute elapsed time
    CHECK_CUDA(cudaEventElapsedTime(&elapsed_time, start, stop));

    // Clean up
    CHECK_CUDA(cudaFree(d_complex_data));
    CHECK_CUDA(cudaFree(d_complex_data_swap));
    CHECK_CUDA(cudaEventDestroy(start));
    CHECK_CUDA(cudaEventDestroy(stop));
    free(complex_data);

    return elapsed_time * 1e-3;
}


int main(int argc, char **argv) {
    if (argc != 6) {
        printf("Error: This program requires exactly 5 command-line arguments.\n");
        printf("       %s <arg0> <arg1> <arg2> <arg3> <arg4>\n", argv[0]);
        printf("       arg0, arg1, arg2, arg3: FFT lengths in 4D\n");
        printf("       arg4: Number of iterations\n");
        printf("       e.g.: %s 64 64 64 64 5\n", argv[0]);
        return -1;
    }

    unsigned int nx = atoi(argv[1]);
    unsigned int ny = atoi(argv[2]);
    unsigned int nz = atoi(argv[3]);
    unsigned int nw = atoi(argv[4]);
    unsigned int niter = atoi(argv[5]);

    float sum = 0.0;
    float span_s = 0.0;
    for (unsigned int i = 0; i < niter; ++i) {
        span_s = run_test_cufft_4d_4x1d(nx, ny, nz, nw);
        if (PRINT_FLAG) printf("[%d]: %.6f s\n", i, span_s);
        sum += span_s;
    }
    printf("%.6f\n", sum/(float)niter);

    CHECK_CUDA(cudaDeviceReset());
    return 0;
}

Note that I am using cufftComplex as my primary data type, as I needed single precision floating point calculations, feel free to use cufftDoubleComplex as they suggested earlier.

After building and compilation, the correct output would be:

• For a array of 4x4x4x4

$ ./cufft4d 4 4 4 4 1

Complex data...
  (0.2005, 0.0000i)
  (0.4584, 0.0000i)
  (0.8412, 0.0000i)
  (0.6970, 0.0000i)
  (0.3846, 0.0000i)
...
  (0.5214, 0.0000i)
  (0.3179, 0.0000i)
  (0.9771, 0.0000i)
  (0.1417, 0.0000i)
  (0.5867, 0.0000i)
Fourier Coefficients...
  (121.0454, 0.0000i)
  (-1.6709, -1.3923i)
  (-12.7056, 0.0000i)
  (-1.6709, 1.3923i)
  (-1.3997, -3.1249i)
...
  (1.0800, 0.8837i)
  (2.0585, -2.7097i)
  (1.1019, 1.7167i)
  (4.9727, 0.1244i)
  (-1.2561, 0.6645i)
[0]: 0.001198 s
0.001198

• For a array of 4x5x6x7

$ ./cufft4d 4 5 6 7 1

Complex data...
  (0.2005, 0.0000i)
  (0.4584, 0.0000i)
  (0.8412, 0.0000i)
  (0.6970, 0.0000i)
  (0.3846, 0.0000i)
...
  (0.3909, 0.0000i)
  (0.0662, 0.0000i)
  (0.6360, 0.0000i)
  (0.1895, 0.0000i)
  (0.7450, 0.0000i)
Fourier Coefficients...
  (426.6703, 0.0000i)
  (9.5928, 6.2723i)
  (-1.2947, -7.8418i)
  (-5.1845, -0.6342i)
  (-5.1845, 0.6342i)
...
  (-2.9402, 0.1377i)
  (5.8364, -3.5697i)
  (4.8288, -3.2658i)
  (-2.5617, -7.8667i)
  (-4.2289, -0.3572i)
[0]: 0.001193 s
0.001193

These results match with FFTW.

Open Inspect (right click on the browser)>>> Click the 3 vertical dots in the top right corner of the Inspector >>> More tools >>> Coverage

The way I see your query, it did not include all non-aggregated SELECT columns in the GROUP BY. This could make your query inconsistent.

Try updating your line 7 to:

GROUP BY usr.created\\\_date, usr.variant

You can check Query Execution Plan to have an insight and steps BigQuery has to take to run your query.

Finally found a solution. Updating file bundles.info in \dbeaver\configuration\org.eclipse.equinox.simpleconfigurator

With value

com.scb.dbeaverplugin,1.0.0,plugins/com.scb.dbeaverplugin_1.0.0.jar,4,false

(you have to insert your own plugin name) helped to solve the issue

The error "Failed to construct 'URL': Invalid URL" indicates that the URL constructor is passed an invalid string. Maybe setCoverImagePath() passes the string containing the custom protocol as path argument to new URL()? In that case, you'd have to find an alternative implementation to set the image path, without using new URL().

I think this might be an import issue. try:-

from smartsheet import Smartsheet, search

Other people on Stackoverflow as fixed similar issues this way.

If you want to stay in managed workflow: You can use this: https://www.npmjs.com/package/@tahsinz21366/expo-crop-image

Before update, first get the original author id:

$author= get_post_field('post_author', $post_id);

then switch the current user to author

   wp_set_current_user($author);

Next update the post.

Apparently it is the apps key

VK_APPS 0x5D Application key

https://learn.microsoft.com/en-us/windows/win32/inputdev/virtual-key-codes?redirectedfrom=MSDN#:~:text=Windows logo key-,VK_APPS,-0x5D

Which pyautogui calls apps

'apps': 0x5d, # VK_APPS

FIS_AUTH_ERROR RN Firebase Cloud Messaging Answer work for me :

https://medium.com/@ajprince0607/resolving-firebase-messaging-error-in-react-native-fis-auth-error-9b5bfba5649a

Try to add key prop to your Lottie component, ex:

<Lottie
  key={initialTheme}
  ...other props
/>

Also, why you need useEffect at all? Remove it, it is redundant here

I had a similar error on a different project.

The solution I found was to use a more recent version for hdl-make. hdl-make v3.3 is the last version available on pip, but it is not actually the last version. You have to install it from the official git repository: https://gitlab.com/ohwr/project/hdl-make

As you are doing a POST with a binary image, I think your Content-Type should be "multipart/form-data", not "application/x-www-form-urlencoded".

Me2.

After I set the setting[1] correct in VSCode[2] it works for me.

Kind regards Alexander Sailer

[1] settings.json C:\<users>\<user>\AppData\Roaming\Code\User\settings.json

   "git.path": "D:/Program Files/Git/bin/git.exe",

[2] VSCode version 1.99.3

Not entirely sure if this "consumes" a row, but this will return the number of columns in the csv file.

 col_num = len(pd.read_csv(csv_filename)._mgr)

After some experimenting, I found that the code generates the desired output without the need to write files to the file system, delayed expansion and without a for loop.

set myvar="aaa^<bbb"

set xxx=%myvar:<=^^<%
set zzz=%xxx:"=%
echo %zzz%

I would appreciate some comments with theories why the %myvar:<=^^^<% did not work and the %myvar:<=^^<% works.

Please help me to see when is made this picture

6f527c31-bd78-4d7f-b156-a8020b0cd027.jpeg

Please help me

this not work. try to change text in middle of. cursor goes end.

As I was trying to solve the same issue, I found your opened question here, but also kind of a solution here: https://github.com/kaysond/trafficjam

I hope it can help.

In the call

auto m2 = max(s1,s2,s3);

T is deduced to be char const *. So max must return char const * &. The inner call to max(..., c) returns a char const *, so to return a reference to that, it must construct a reference to a temporary.

I got same the issue, I can launch the app by App Actions Test tool but when I publish on internal test and download by the link. I can't launch the app and catch the feature by Google Assistance voice or text. The Google Assistance always open the browser. Did you find the reason?

I'm no expert—I'm just getting started with FPGAs myself. I’ve been working with a NANDLAND Go Board and wanted to send data over USB to the FPGA, do some processing on it, and return the results. I was able to create a Verilog HDL file that does exactly that. It’s basically a simple state machine: it reads bytes from the UART/USB, stores them into memory, and once the expected number of bytes has been received, it triggers the processing stage. When processing is complete, it sends the results back over the UART, one byte at a time.

One issue I ran into was that on boot-up, some junk bytes were already sitting in the UART queue for reasons I haven’t figured out yet. To deal with that, I added logic to flush out any waiting bytes on startup to ensure the buffer is clear.

Eventually, I’d like to move up to using an FPGA with a PCI bus interface so my Java application can write directly to the FPGA for better speed and efficiency. I know some people use FPGA boards with Ethernet ports to send data via socket connections—that might be another interesting path to explore.

MIGUEEELLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL ES ESO

We have built this company on trust and our relationship with our customers. We value your opinions, and we will do whatever we can to keep you happy. Thanks for reading this, and enjoy the BigBadToyStore website!

Thanks.

I have raised an issue on the gRPC Github page. Hopefully the grpc upgrades this in coming days

https://github.com/grpc/grpc/issues/39026

If you're looking to automatically migrate your Kotlin Fragments from synthetic imports (kotlinx.android.synthetic) to ViewBinding, I created a Python-based converter that might help:

🔗 GitHub Repo: here4learning/synthetic-to-viewbinding-migrator

I think this started with a previous failed attempt to deploy the function. The deploy was happening in a GitHub Action, so it could not be interactive, and it failed with this error:

i  functions: creating Node.js 22 (2nd Gen) function helloWorld(us-central1)...
Could not build the function. 

Functions deploy had errors with the following functions:
    helloWorld(us-central1)
⚠  functions: No cleanup policy detected for repositories in us-central1. This may result in a small monthly bill as container images accumulate over time.

Error: Functions successfully deployed but could not set up cleanup policy in location us-central1. Pass the --force option to automatically set up a cleanup policy or run 'firebase functions:artifacts:setpolicy' to manually set up a cleanup policy.
Error: Process completed with exit code 1.

Apparently now you have to set up that policy before you can deploy. If you do the first deploy manually from the command line, it will ask you how long to keep images before they're deleted. But it can't do that in a non-interactive CI environment. So it fails.

After this, the function existed in the Firebase console, but it didn't work, and further attempts to deploy it failed as described in the question.

The solution was to manually delete the function with firebase functions:delete helloWorld. Then when I tried to deploy again, it succeeded.

I don't know if this is the only way a function can get into this non-deployable state, but if you are getting the same error (without any more helpful messages), it's probably worth a try to delete the function and try again.

Thank you for your input. I was able to access the regions by allowing writing to dangerous flash regions. In menuconfig:

(Top) -> Component config -> SPI Flash driver -> Writing to dangerous flash regions (Allowed)

https://esp32.com/viewtopic.php?t=45265

If you are running your backend on cloud, then as a rule of thumb, you never use clustering. You deployment takes care of it. AWS, K8S autoscaling takes caring of spinning up new instances of your application and allocating it VM resources. And for worker_threads you use it for tasks that are going to stay in the memory for very long. For example if you have a basic CRUD server, no need to use worker_threads but if you have to make a very lofty query and get a lot of data from the DB and then process that data, make changes, write to a file, upload that file, send a response back, you use worker_threads.

Your project's Gradle version is incompatible with the Java version that Flutter is using

It seems like you need to update your Gradle version.

You can update the Gradle version in android/build.gradle like this:

dependencies { classpath 'com.android.tools.build:gradle:X.Y.Z' }

Finally I got it working. Hopefully the answer will help others. I had to add public IP x.x.x.22 to Plesk VM. The VM will then have 2 IP addresses - 1 internal LAN IP 10.1.1.2 and the external IP x.x.x.22. Gateway was set to 10.1.1.1, which is an IP of OPT1 interface on pfSense.

I'm nostalgic for the days I had my Amstrad CPC664 home computer. Changing pixels was not fast enough even in machine code because I was writing maths art shapes to screen like a 3D spirograph and I wanted to rotate my palette through the selected colour numbers of my pixel plot sequences. So I studied the native OS calls and wrote machine code to sit in the fast interrupt tasks to switch the displayed colour for each plot number. back in those days I think the screen resolution options were bound to the available colours for each resolution. So I created locomotive basic extension to manage my colour rotation and made very cool high speed animations with static maths art images. The key is that I was not changing the pixel colour numbers, I was changing the display colour for each or the 4 or 16 ink plotting numbers. But I am very curious as to whether in windows and linux, whether this control level has been lost. If I were on for example an nvidia gfx card design team, I'd be wanting this layer of abstraction. But I think it's become all about finesse in colour range.

If you want to access https://docs.ipfs.tech/reference/kubo/rpc/ then you should use the dedicated Kubo RPC client from NPM: https://www.npmjs.com/package/kubo-rpc-client

It aims to be a drop-in replacement the for deprecated ipfs-http-client

With Delphi 12.3, they changed their debugger from TDS-based to LLDB-based, at least in their very first 64-bit IDE version.

Maybe this will affect your success trying to debug Delphi-Code via other Tools like "VS Code".

Did anyone already tried makeing use of the last changes for Delphi debugger?

I realize this is an old thread, but I hit this query on google recently.

Here's how you do it:

$command = "Get-Process"
Invoke-Expression $command

Anything in your $command string will be invoked just like the user had written it.

Have you found an answer here?

I was having the same issue in .NET 9 Blazor and worked around it by avoiding the @attribute and using <AuthorizeView> to wrap the page instead. This seems to have allowed the authorization logic to kick in and hydrate by current authorization state properly [we happened to be using Okta/OIDC].

Gave 401 on direct access:

@attribute [Authorize(Policy="FooPolicy")]

Showed appropriate page:

<AuthorizeView Policy="FooPolicy">
  <Authorized>
    ... existing page content...
  </Authorized>
  <NotAuthorized>
    <h3>Access Denied</h3>
  </NotAuthorized>
</AuthorizeView>

The suggestion to create a PDF with the printer page size works also well for me!

Initially I was creating PDF fitting exactly the content size but the printed version had whitespace on top or it was printed horizontally 🙈 Thanks!

You should add CONFIG += strict_c++ which is disables support for C++ compiler extensions. By default, they are enabled.

do this

            unsigned char* vs = (unsigned char*)&ret->length;
            F->Read(&vs[3], 1);
            F->Read(&vs[2], 1);
            F->Read(&vs[1], 1);
            F->Read(&vs[0], 1);
            //F->Read(&ret->length, 4);
            F->Read(&ret->type,4);

The answer I received was to use the setText function.
Below is the code that worked.

 self.ui.bill_street_1.setText(f'{self.customer_rec[2]}')
        self.ui.bill_street_2.setText(f'{self.customer_rec[3]}')
        self.ui.bill_city.setText(f'{self.customer_rec[4]}')
        self.ui.bill_state.setText(f'{self.customer_rec[5]}')
        self.ui.bill_zip.setText(f'{self.customer_rec[6]}')
        self.ui.bill_zip_plus.setText(f'{self.customer_rec[7]}')
        self.ui.ship_street_1.setText(f'{self.customer_rec[8]}')
        self.ui.ship_street_2.setText(f'{self.customer_rec[9]}')
        self.ui.ship_city.setText(f'{self.customer_rec[10]}')
        self.ui.ship_state.setText(f'{self.customer_rec[11]}')
        self.ui.ship_zip.setText(f'{self.customer_rec[12]}')
        self.ui.ship_zip_plus.setText(f'{self.customer_rec[13]}')
        self.ui.last_order.setText(f'{self.customer_rec[14]}')
        self.ui.terms.setText(f'{self.customer_rec[15]}')

Are you sure there is no output? The dark theme in GroovyConsole isn't very good, the output font color is almost (if not) the same as the background color making it impossible to read.

I use Ubuntu in dark mode and I have this script for starting groovyConsole in light mode

#!/usr/bin/env bash
# groovyConsole color theme and Ubuntu dark theme is not a good match...
Exec=env GTK_THEME=adwaita:light ~/.sdkman/candidates/groovy/current/bin/groovyConsole

In my case I had a semicolon after the screen element. Semicolons aren't allowed as children, it threw this error. Double check the syntax of whatever's a child of your navigator.

I found the problem: on systems with high DPI screens (like for example MacBook Pro 2024) dimensions passed as parameters to glfwCreateWindow() are scaled from "logical size" to "pixel size" on the frame buffer creation.

For example in my case window dimensions are 1280*720, but frame buffer dimensions are 2560*1440.

And MetalLayer->setDrawableSize should be called with correct frame buffer dimensions, not window dimensions. That was the reason of my 2*2 scale and blur.

Also it is necessary to be careful with mouse pointer coordinates returned by the CursorPos callback. Values returned should be scaled to coefficients returned by glfwGetWindowContentScale().

Note that statusBarColor has no effect in Android 15 and later, as described in: Behavior changes: Apps targeting Android 15 or higher.
In Android 15 it is possible to opt-out edge2edge feature, but in Android 16 and later there is no way to opt-out.
In the beginning I tried to use the same approach as in your post, but there were several issues, so I removed from xml the parameter android:fitsSystemWindows and I implemented the handling of insets using ViewCompat.setOnApplyWindowInsetsListener as described in Display content edge-to-edge in views

You should avoid using !important flag as much as possible. It is really bad practice to use, as it typically causes much more harm than good. It should only ever really be used as a very last resort, and only in very specific situations — usually only when external styles are in the mix.

Also, try to avoid inline styles as much as possible, as well, because it makes it a bit harder to utilize the cascade (of CSS), since inline styles are a higher specificity. Creating and assigning classes is better and makes it easier to work with the cascade, instead of against it, if that makes sense?

As for your issue, you should use flex-basis: 40px instead of height: 40px, since you're using flex-box. You should also put flex-shrink: 0 on the .bg-blue element so that it doesn't shrink at all and stays visible. Then you'll want to put overflow: auto on the .container element so the browser knows where you want the scrollbar to be shown for overflowing contents. I added a auto-scroll class to your example and used that on the .container element.

After making the suggested changes as I've shown, I believe this will achieve what you're looking for?

/* Height helpers */

.h-screen {
  height: 100vh;
}

.h-100 {
  height: 100%;
}

/* Flex helpers */

.d-flex {
  display: flex;
}

.flex-column {
  flex-direction: column;
}

.flex-grow-1 {
  flex-grow: 1;
}

.flex-shrink-0 {
  flex-shrink: 0;
}

.flex-40 {
  flex-basis: 40px;
}

/* Color helpers */

.bg-white {
  background: white;
}

.bg-blue {
  background: blue;
}

.bg-red {
  background: red;
}

/* Other */

body {
  margin: 0;
}

.container {
  padding: 12px;
}

.auto-scroll {
  overflow: auto;
}

<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link rel="stylesheet" href="src/style.css">
  </head>
  <body>
    <div class="h-screen d-flex flex-column bg-white">
      <div class="bg-blue flex-40 flex-shrink-0"></div>
      <div class="container flex-grow-1 auto-scroll">
        <div class="bg-red">
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Non ullam eaque magni vitae amet explicabo et cum? Eos nihil, illo, adipisci quaerat modi omnis nisi repudiandae fugit optio excepturi temporibus dolorum! Nihil, hic! Earum asperiores labore fuga quos. Sapiente corporis hic vero atque distinctio ad vel expedita soluta error suscipit quas ab, nemo beatae similique minus ducimus repellat facere magnam sed quidem asperiores repudiandae sit facilis voluptates? Veniam animi, necessitatibus facere ratione dolores vel, ipsa assumenda adipisci impedit, nisi iste exercitationem. Provident velit aut perferendis officiis ducimus natus optio odio repellat, enim repellendus, facere facilis minima quo nostrum ea. Rem doloremque cupiditate distinctio excepturi maiores animi, eos laboriosam iusto quia iste vitae eius quisquam fugit magnam perferendis ea quas ratione. Totam sit aperiam eius praesentium, tempore assumenda impedit id nemo natus provident vitae, voluptates aliquam labore. Eos, nihil? Fugit alias tempore ut nesciunt unde, nostrum odio, dolorum consequuntur quae non veritatis iure pariatur, asperiores architecto. Numquam, veritatis nobis modi repellat maxime blanditiis odio, sed iusto expedita quaerat eos quasi repudiandae soluta cupiditate perferendis ex voluptatibus veniam! Et cum corrupti nam, sint id illo natus alias totam neque perspiciatis eaque quisquam? Ab nemo rem aspernatur voluptate quam, deleniti earum modi perspiciatis sapiente dicta mollitia, officia dolorem ea, blanditiis facilis enim vel harum sunt voluptas quaerat nam. Recusandae, cumque atque? Sit, libero? Fuga illum temporibus rem optio qui officia quam neque alias nesciunt exercitationem aspernatur vero quaerat laudantium asperiores dolorem id, consectetur reprehenderit numquam maiores dolor. Accusamus molestiae, commodi soluta quia nihil quas deserunt similique pariatur ab unde non perspiciatis quis fugit tenetur officia mollitia iusto iste aliquam asperiores eos dignissimos? Minima rem nobis sapiente blanditiis eos ad laborum molestias perspiciatis ratione doloremque, doloribus reiciendis commodi, dolor aliquid itaque id. Culpa laudantium, earum eos perferendis unde dolorem, nisi quis illum asperiores rerum iste in amet nam qui ad quibusdam quod sint reiciendis maxime? Nesciunt quas fuga neque recusandae porro cumque, adipisci ratione. Cum voluptatum itaque quisquam aliquid perspiciatis. Repudiandae neque in quo recusandae officiis. Dolores qui explicabo sapiente dolorum quam similique. Ratione, sapiente sequi sint aliquam cupiditate expedita sunt quos vel est obcaecati molestias, quod atque adipisci assumenda quibusdam reiciendis animi! Temporibus debitis atque sed qui vel sequi ex corrupti assumenda, at explicabo possimus illo quia eos dolore reprehenderit architecto! Qui quos excepturi at ut eum quam similique voluptate quisquam amet quo laboriosam voluptatibus adipisci dolorum accusamus nostrum sunt tenetur, vitae eos! Quam libero magnam, excepturi ad vero tenetur autem atque, neque beatae culpa blanditiis maxime delectus. Temporibus, dolores. Eaque commodi, quis distinctio repudiandae illum consequatur optio? Illum rerum sequi consectetur libero velit cupiditate quidem harum iure praesentium dolorem recusandae numquam ratione laudantium exercitationem pariatur obcaecati earum eos voluptas expedita, impedit inventore iste! Debitis dignissimos quasi, earum quod ipsam nisi incidunt nesciunt assumenda. Sunt veritatis labore expedita quas incidunt quod dicta repellat ratione! Aperiam ullam porro voluptates sapiente voluptatum quam dolores, pariatur quaerat consectetur minima. Soluta, eos voluptatibus minima, tempore explicabo, officiis praesentium atque facere velit ipsum doloribus illum! Eligendi optio repellat, inventore amet laudantium aliquam, corporis a reprehenderit animi reiciendis est magni fugiat explicabo quaerat repudiandae. Consequuntur molestias beatae magnam? Sunt aut similique quo at incidunt corporis repudiandae vero rem, iure officia ducimus molestias nam. Laudantium cumque earum laboriosam, nihil neque est obcaecati non consectetur cupiditate quam consequuntur beatae modi quis vel quos alias magni harum consequatur natus sapiente quibusdam quaerat! Nemo rerum reiciendis culpa porro explicabo sed! Doloremque rem veritatis aspernatur molestiae iste facilis ut odit voluptates non. Soluta laboriosam laborum harum voluptatum recusandae nobis non maxime dignissimos. Accusamus totam odit temporibus hic corporis ratione quo culpa ipsum officia sequi, est quaerat illo quos reiciendis impedit modi doloremque iure molestias neque? Eius cupiditate rerum consequuntur accusantium, aperiam unde mollitia doloremque explicabo ea libero hic aliquam quisquam vel, optio molestiae dolor assumenda esse eligendi fuga illo fugiat? Sed ratione, veniam ullam molestias quo repellat rem. Perspiciatis illum quaerat neque eveniet, dicta error, velit omnis assumenda voluptatem iusto enim voluptatum eius incidunt cum nam quidem molestias blanditiis dolore beatae saepe ea. Rem maxime dolore doloremque vero beatae eos voluptatibus dignissimos, eligendi officia assumenda rerum laboriosam minima, neque autem nemo, alias molestias ipsa? Distinctio pariatur voluptatibus magni facere. Praesentium ex suscipit, hic quam debitis nulla possimus sed vitae commodi quo ipsum excepturi quidem, beatae, earum modi temporibus fugiat quisquam voluptas dolores! Deserunt ea reiciendis quae consequuntur perspiciatis tempora necessitatibus assumenda voluptas aperiam dignissimos, a nisi sapiente accusantium impedit facere distinctio quam laborum? Facere, facilis possimus. Blanditiis hic rem dolorem facere officiis adipisci, architecto, iste quod numquam nam aut saepe? At vitae cumque repudiandae quae rem quisquam possimus modi commodi illum! Minus assumenda quis cupiditate.
        </div>
      </div>
    </div>
  </body>
</html>

Having your account restricted can feel like hitting a brick wall. It's frustrating, confusing, and can put a big dent in your online activities.

But don't worry! marie will guide walk you through fixing those pesky restrictions and getting back to business as usual she works at meta reach her (infocyberrecoveryinc@gmail com and telegram:marie_consultancy)

If you’re trying to display discounted prices across your Shopify store (not just at checkout or cart), there’s a tool called Adsgun that auto-applies discount codes and updates the prices dynamically site-wide. Works with all themes without needing custom code inside theme.

We used it on a few client stores when running stacked or timed promos — much easier than hacking theme files every time. Might be worth checking out.

Your browser is closing because the program is exiting.

I have been able to reach a solution through the utilization of OpenMP (thanks to @JérômeRichard for suggesting this tool to me).

#include <iostream>
#include <iomanip>
#include <ios>
#include <vector>
#include <random>
#include <omp.h>


void quicksort(std::vector<double> & v, int const begin, int const end){
    
    /*
    Quicksort algorithm omitted for brevity
    (As with every implementation, element swaps
    are made, and the necessary index i is
    created and initialized correctly)
    */

        #pragma omp task shared(v,begin,i)
        {
    quicksort(v, begin, i-1);
    }
        
        #pragma omp task shared(v,i,end)
        {
    quicksort(v,i+1,end);
    }
      
    return;
};


int main() {
    std::vector<double> vect1; // Initialization of vect1 to several million random elements omitted

    #pragma omp parallel
    {
      #pragma omp single
      { quicksort(vect1,0,vect1.size()-1); } 
    }

    // Omitted here: a for-loop to print some of the elements of vect1 to ensure the sort was successful

    return 0;
}

You will notice that the following expressions from OpenMP are used:

#pragma omp parallel
#pragma omp single
#pragma omp task shared(v,begin,i)
#pragma omp task shared(v,i,end)

And the header <omp.h> is included.

This is compiled with g++, and it is necessary to add the flag -fopenmp to allow for the use of OpenMP tools in the code:

g++ -W -Wall -pedantic -fopenmp -o ProgramName -p FileName.cpp

I know that body of Notes note is HTML, experimented with different variations of checklist with radio buttons but none worked. I tried to find source code of note on disk (hoping to replicate it) but could not. I found location where they are held on disk but could not find actual source.

In any case, as @Mockman suggested, scripting UI did the job:

tell application "System Events"
    tell process "Notes"
        delay 1
        key code 124 using {command down}
        keystroke return
        keystroke "l" using {command down, shift down}
        keystroke "Item 1"
        keystroke return
        keystroke "Item 2"
    end tell
end tell

Had the same problem with jsmastery course and fixed by installing next-auth beta

so run npm install next-auth@beta

Why are you converting scripts from a more capable tool to a less capable tool?

You're using the preview version but on Microsoft website https://visualstudio.microsoft.com/vs/preview/#download-preview

it states that the preview is not licensed to build your applications.

{ "folder" : "/projectsfolder/project", "classFolder" : "target/classes", "output" : "typscriptOutputDirectory", "baseFolder" : "", "clearOutput" : false, "packages" : "classPath" : [ ] }

This post was very helpful! Could you please post your implementation of:

base64URLEncode()

It's works. I dont installed akima. I followed the instructions and works.

This may not be a perfect answer, but I've had some luck in restarting all my extensions. I'm on Visual Studio Code v1.98.2 and Windows 11 with multiple .venv-enabled projects present in my multi-root workspace.

It seems like it's a bug with the extension ms-python.python, but I have no proof other than that restarting all the extensions fixed the problem.

Sometimes the things holding you back aren't things you realize can hold you back. In my case, the issue was that we are using private endpoints on our applications and services, and the queue private endpoint of storageAccountA was not exposed. Something I didn't understand in the documentation was that the AzureWebJobsStorage account uses a queue for any/all storage accounts the function app is connecting to, so even though I am monitoring storageAccountB, the issue was that the app could not create a queue in storageAccountA to manage the invocations of monitoring storageAccountB. The issue was that storageAccountA was unable to generate a queue to manage blob trigger log monitors to other storage accounts (i.e. storageAccountB) because there was no storage account private endpoint exposed in storageAccountA.

Have been making a new annotation processor SharedType, used in my major web services to convert dozens of types. Developed it because I want support for:

• constants
• generics

But it has more, e.g., intuitive configurations, and more features to come.

Another use-case would be to make pickle faster. Of course, it is highly dependent on your data.

For example, I've seen 5%+ performance gain in my practice. I don't use pickle directly, but I use concurrent.features and David Beazley's Curio, which use multiprocessing, which in turn uses pickle for data transfer.

enter image description here

I encountered the same issue while using Spring Boot 3.4.3. I was able to solve it by following these steps in IntelliJ:

Go to Files -> Settings -> Build, Execution, Deployment -> Compiler -> Annotation Processor -> appName -> Select Obtain processor from project classpath option.

The problem ended up being that I was not using the ARM version of conda, which was necessary for my M1 mac. I ended deleting Anaconda, installing the ARM version of Miniconda, then rebuilding the environment. For the TensorFlow install, I used pip install tensorflow-macos and pip install tensorflow-metal to get the correct versions.

Dan, I followed your approach to re-build the table as I was trying to do this for multiple PARAMCDs as well. Below is my updated code.

## Load all required packages
packages <- c("cards", "tidyverse", "gtsummary", "labelled", "gt")
invisible(lapply(packages, library, character.only = TRUE))

# Apply gtsummary theme
theme_gtsummary_compact()

# Load data
advs <- pharmaverseadam::advs %>%
  filter(SAFFL == "Y" & VSTESTCD %in% c('SYSBP', "DIABP") & !is.na(AVISIT)) %>%
  select(c(USUBJID, TRT01A, PARAMCD, PARAM, AVISIT, AVISITN, ADT, AVAL, CHG, PCHG, VSPOS, VSTPT))

# Summary mean prior to process
advs.smr <- advs %>%
  group_by(USUBJID, TRT01A, PARAMCD, PARAM, AVISIT, AVISITN, ADT) %>%
  summarise(AVAL.MEAN = mean(AVAL, na.rm = TRUE),
            CHG.MEAN = mean(CHG, na.rm = TRUE),
            .groups = 'drop') %>%
  mutate(visit_id = paste("Vis", sprintf("%03d", AVISITN), AVISIT, sep = "_")) %>%
  arrange(USUBJID, PARAMCD, AVISITN) %>%
  filter(AVISITN <= 4)

# Wide to Long
advs.smr.l <- advs.smr %>%
  pivot_longer(cols = c(AVAL.MEAN, CHG.MEAN),
               names_to = "anls_var",
               values_to = "Value") %>%
  filter(!is.nan(Value)) %>%
  mutate(anls_var = if_else(grepl("AVAL", anls_var), "Actual Value", "Change From Baseline"))

# Long to Wide
advs.smr.w <- advs.smr.l %>%
  select(-c(AVISITN, AVISIT, ADT)) %>%
  pivot_wider(names_from = visit_id,
              values_from = Value)

# Upcase column names
colnames(advs.smr.w) <- toupper(colnames(advs.smr.w))

# Create List of visit names
alvis <- unique(colnames(advs.smr.w)[grep("^VIS", colnames(advs.smr.w), ignore.case = TRUE)])
vis.nam <- setNames(as.list(sub(".*_", "", alvis)), alvis)

# Table for AVAL by Visit
rpt_body <- function(res.typ) {

  # Filter for AVAL/CHG
  tmp.dat <- advs.smr.w  %>%
    filter(grepl(res.typ, ANLS_VAR)) %>%
    select(where(~ !all(is.na(.))))

  # Create table body
  tbl.body <- tmp.dat %>%
    tbl_strata_nested_stack(
      strata = PARAM,
      ~ .x %>%
        tbl_summary(
          by = TRT01A,
          include = c(starts_with("VIS")),
          type = all_continuous() ~ "continuous2",
          statistic = all_continuous() ~ c("{N_nonmiss}", "{mean} ({sd})",
                                           "{median}", "{min}, {max}"),
          digits = all_continuous() ~ c(N_nonmiss = 0, mean = 2, sd = 2,
                                        median = 2, min = 2, max = 2),
          label = vis.nam,
          missing = "no") %>%
        # Update Stat Labels
        add_stat_label(
          label = list(all_continuous() ~ c("n", "MEAN (SD)", "MEDIAN", "MIN, MAX")))
      )

  return(tbl.body)
}

# Create table summary
tbl.aval <- rpt_body(res.typ = "Actual")
tbl.chg <- rpt_body(res.typ = "Change")

# Merge tables together and apply styling
vs.tbl <- list(tbl.aval, tbl.chg) %>%
  tbl_merge(tab_spanner = FALSE,
            merge_vars = c("tbl_id1", "variable", "row_type", "var_label", "label")) %>%
  # Update spanning header with TRT (level from tbl_summary by)
  modify_spanning_header(all_stat_cols() ~ "**{level}**  \n(N = {n})") %>%
  # Update header
  modify_header(
    label ~ "*Vital Signs Parameter* \n\U0A0\U0A0\U0A0\U0A0**Visit**",
    all_stat_cols() & ends_with("_1") ~ "**Actual Value**",
    all_stat_cols() & ends_with("_2") ~ "***Change from Baseline***") %>%
  # Update header
  modify_table_body(
    ~ .x %>%
      dplyr::mutate(tbl_id1_1 = tbl_id1,
                    tbl_id1_2 = tbl_id1) %>%
      dplyr::relocate(
        c(starts_with("stat_1"), starts_with("stat_2"), starts_with("stat_3")),
        .after = "label")
    )

There is one small issue. The header counts on spanning header for AVAL & CHG are different (screenshot below). I want to display the counts from AVAL, but not too sure how to achieve this.

While I don't have the immediate answer I wonder if it is related to the answer to this question that I posted earlier: Local defines in R5RS Scheme language in DrRacket

Let's hope someone can enlighten us. Curious to see the answer to your question. Thanks for having posted it.

Riyajul Haldar enter link description here

Blockquote## Heading ##emphasized text 777

Thank you José for the reply. I have tried the GluonFX 1.0.26 plugin before. It also produced errors. I tried it again. It did not work:

mvn gluonfx:build failed again.

Somebody on this forum suggested:

mvn gluonfx:compile

followed by:

mvn gluonfx:link.

This worked! Not sure why. (build = compile + link). It is probably a gluonFX bug. Thanks again for the great help.

are there any updates on this? I found this thread because I had the same question. I want to compress a video stream in YUY2 or UYVY format to, say H265. If I understand the answers given here correctly, I should be able use the function av_image_fill_arrays() to fill the data and linesize arrays of an AVFrame object, like this:

av_image_fill_arrays(m_pFrame->data, m_pFrame->linesize, pData, ePixFmt, m_pFrame->width, m_pFrame->height, 32);

and call avcodec_send_frame(), followed by calling avcodec_receive_packet() to get encoded data.

I must have done something wrong. The result is not correct. For example, rather than a video with a person's face showing in the middle of the screen, I get a mostly green screen with parts of the face showing up at the lower left and lower right corners.

Can someone help me?

I have fixed this. Thank you!

For some reason some of the columns had whitespacs and other columns for example like the name "Billing/Invoice Inquiry" which did not read very well so I had to rename it to "billing_invoice_inquiry". It works now.

Linux kernel has mechanics to ensure a real-time throttling. It is controlled by system settings /proc/sys/kernel/sched_rt_period_us and /proc/sys/kernel/sched_rt_runtime_us.
By default, the first one is set to 1000000 and the second one to 950000, meaning that no process can take more than 0.95 second each 1 second.

My solution to this problem was to make the VS files on my C drive.

My setup was I had a reference to an folder on Google Drive. Worked for several days no problems.

But then I got the msb4018 error. Tried to run VS2022 as administrator. Tried a lot of thins. Nothing worked.

When moving my files to my own c crive. The error disappeared :-)

(Many years and SSRS incarnations later .. it refuses to die in spite of many attempts by Microsoft to murder it. It's now known as "Power BI Paginated Reports"!)

1. Create a fake report using the "Table or Matrix Wizard", use a simple SQL query, preferably no parameters, but with the same (numerous) fields as your Target report.

2. Select "Available Fields" all together and drag them into the Sigma Values box.

3. Voila, a Tablix is created with all the fields.

4. Copy Paste the Tablix into your Target report. Change the Dataset for the Tablix to the target dataset. Apply any formatting to the header and row.

The solution below almost worked for me, however it is missing a bracket before the first SwitchboardID:

=DLookUp("ItemText","Switchboard Items","[SwitchboardID]= " & TempVars("SwitchboardID") & " And [ItemNumber]=0")

I had to add

from PyInstaller.utils.hooks import collect_delvewheel_libs_directory
datas, binaries = collect_delvewheel_libs_directory("pandas")

to the hook-pandas.py file before it finally worked.

Thanks to @wenbo-finding-job the problem was solved by following the steps as described in the blog:

• https://techcommunity.microsoft.com/blog/microsoft-entra-blog/june-2024-update-on-azure-ad-graph-api-retirement/4094534

maybe this will help someone but I had this nightmare of an issue for 3 days straight tried everything but the solution was to remove any unmounted effects that were left from other screens I was pushing from. The fix in my case was that instead of using .push() I used .replace() this unmounted any unattended effects that were causing the screen to flicker. Seriously as soon as I replaced it it worked flawlessly.

I’m not familiar with Google Earth Engine but will try to help by sharing public docs and proper channels to report this kind of issue.

This error means it detects illegal use of mapped function parameters. To avoid this error, avoid the use of client-side functions in mapped functions.

Looking at your code, I don’t see any part where you use FeatureCollection (or maybe I lack permission to view it) and the error on the console doesn’t specify which code line is problematic but it displays “sm_1km” so maybe focus on those.

You can start with checking the debugging guide and the coding best practices to see if there's any code that can be improved – especially those related to map() or FeatureCollection(). A sample code to get a collection of random points is also shared.

A quick search does not show any result with the exact error you’re encountering. However, I’ve read somewhere that “A mapped function's arguments cannot be used in client-side operations” is a bad error message. ‘The detection for "mapped function's arguments" is really just an "unbound internal variable", which shouldn't happen for other reasons but can anyway sometimes.’

If still no luck, I would recommend visiting the Google Earth Engine’s Help Center for tips and proper channels/forums you can reach out to.

1. Workik AI Database Schema Generator
Workik offers an AI-driven platform that assists in designing and optimizing database schemas. It supports various database types, including NoSQL and graph databases, and provides features like:​

• Schema design assistance with best practices.

• Suggestions for constraints and validation rules to maintain data accuracy.

• Recommendations for organizing data to minimize redundancy.

• Analysis and suggestions for indexing strategies to improve query performance.​

Additionally, Workik supports collaboration features, including shared workspaces and real-time editing, facilitating team-based schema design. ​

2. Schema AI by Backendless
Schema AI allows you to describe your application in plain English, and it generates a tailored database schema, visualized as an entity-relationship diagram detailing table names, columns, and relationships. ​

3. Azimutt
Azimutt is a database exploration tool that helps in building and analyzing database layouts incrementally. It offers features like search, relation following, and path finding, aiding in understanding and optimizing database structures. ​

4. AI2SQL's SQL Schema Generator
AI2SQL simplifies database design by allowing you to describe your database requirements in plain English. It then creates optimized SQL schema definitions, complete with relationships, constraints, and indexes.

Additional Tools for Visualization and Design

• dbdiagram.io: A free tool to draw database relationship diagrams quickly using a simple DSL language. ​

• Diagrams.net (formerly Draw.io): An open-source, browser-based diagramming tool that can be used for database schema visualization. ​

You can use this package to merge pdfs

https://www.npmjs.com/package/react-native-merge-pdf

I found the answer: I had to eject the image:

https://docs.getutm.app/basics/basics/

I tried it but it didn't really work. I am still facing this issue any run time validations in dto file after being build they are being removed. Is there any solution foo it ?

Alternative Solution

I checked Google's Issue Tracker and didn't see any currently open tickets about this issue.

A possible workaround for this issue is to:

consider submitting a feature request to Google via this link, and clearly explain in it the necessity of a workaround for this current limitation.

See how to create an issue in the Google Issue Tracker.

Does anyone know how to do this in Visual Studio 2023 (not vs code)?

i Found the answer just a minute ago, there's an option in plugin to do an "AND" and than i can choose 2 strings and negate them, Thanks alot :)

Added a picture in the post's main content above

I just found an answer as to what to do.

Adding the GetRNGstate(); and PutRNGstate(); statements solves the problem.

I am still unsure why this default behavior is desirable.

It turns out it was no fault of our code, non-reproducible, some bad luck.

Index-level quotas for a couple of indexes were reset to 0GB. It is important to note that quota for an index is by default 10GB, and it is not possible to for a user to set it to 0GB.

Google Cloud support was helpful. After an investigation by Product Engineering Team, the explanation was that "during a recent upgrade of our quota infrastructure, there was a transient error that may have temporarily reset your quota bucket.".

If this happens to you, writes on the index are suddenly and effectively disabled. Quota increase request take days to be processed. No workaround. Therefore, your best bet may be to create a new index, copy the documents over to the new index and begin using the new index.

After your request for quota increase has been granted, you may re-use the index. However, we noticed possible signs of data corruption, so it might be safer to delete all documents, delete the index, and start the index anew if need be.

You can attach your Lambda function to a VPC within Advanced settings. Your Lambda will have network interfaces similar to that of an EC2 instance.

combination ORDER BY with FETCH FIRST 1 ROWS ONLY

@Query("SELECT tt FROM TestTable tt ORDER BY tt.testColumn FETCH FIRST 1 ROWS ONLY")
TestTable findSomething();

After more closely scrutinizing the output from PackerTool, it appears the repo is being cloned to C:\agent#\_work\#\s. I'll look in s for the files. If I still don't find them, I'm testing cloning the repo to another, explicit location.

This works with most shells: ksh, bash and derivates and it's fast because it doesn't fork any command:

TESTSTRINGONE="MOTEST"

NEWTESTSTRING=${TESTSTRINGONE%${TESTSTRINGONE#?????}}
echo ${NEWTESTSTRING}

Compute the set X of the 2^26 possible sums of the first 26 pairs. And the set Y of the 2^25 possible sums of the last 25 pairs. You're looking for the minimum magnitude sum x+y with x in X and y in Y. That's equivalent to finding the closest pair x and -y. See Closest pair of points problem for various approaches and references. That article is about a single set of points, but you can adapt the approaches to two sets.

Simply update your android studio, the current version - Meerkat

I faced the same issue today, and updating to the latest version solved my problem

Fix to the problem here: https://issuetracker.google.com/issues/410485043

Vulkan feature was "off" on advancedFeatures.ini