Share Your DockerFile from the docker file we are able to understand what is missing

Are you sure are you running your commands / code in separate lines?

!pip install google-adk -q
!pip install litellm -q
print("Installation complete.")

The first line !pip install google-adk -q will execute the pip install command for the google-adk package with the -q (quiet) flag.

Once that installation is complete, the second line !pip install litellm -q will execute the pip install command for the litellm package with the -q flag.

CityLocal").autocompleteArray( [ "Aberdeen", "Ada", "Adamsville", "Zoar" //and a million other cities... ], { delay:10, minChars:1, matchSubset:1, onItemSelect:selectItem, onFindValue:findValue, autoFill:true, maxItemsToShow:10

Is game_id set to be the primary key of 'results' table? If not then there is no way for supabase to know that there's only going to be one match in 'results' as there is nothing to stop you from having two rows with the same game_id. If 'game_id' is set to primary key then supabase's generated types should have this foreign key given the property 'isOneToOne: true', and then a query like this (possibly needing the addition of an '!inner' on results) will expect an object for 'results' instead of an array.

It is possible with a workaround.

You can host a WinFormsAvaloniaControlHost with an Avalonia Control in a WindowsFormsHost.

WPF -> WindowsFormsHost -> WinFormsAvaloniaControlHost -> Avalonia Control

Things like scrolling/sizing might not work out of the box.

Key creation is not allowed on this service account. Please check if service account key creation is restricted by organisation policies.

enter image description here How to fix above error in Firebase console.

When copying the symbol name from SF Symbols I somehow ended up with an extra space in the name thus not being recognized as a system image. Once that was corrected it performed as expected.

Email bit is not working for me. Getting following error. Any idea what's missing ?

"error": {
        "code": "InvalidRequestContent",
        "message": "The request content is not valid and could not be deserialized: 'After parsing a value an unexpected character was encountered: 1. Path 'message', line 1, position 14.'."

My main issue was with Prettier extension. Just enable prettier.useTabs flag

vscode prettier prop

If you have provideStore() in your app.config.ts, then the store instance should be available.

You should not mix @NgModule-based feature stores with the new provider functions. I remember encountering issues with that in my projects. So only use provideState and no StoreModule.forFeature

I found another way to do this thing efficiently, I first build the project using

npm run build

after building this i only run artisan cmd to run on local network

php artisan serve --host 0.0.0.0

Has anyone successfully implemented a robust solution for this scenario? I'm facing a similar situation and would really appreciate any insights.

On Android -> Wifi details there is a privacy option, Use randomized MAC/Use device MAC. Switching to Use device MAC worked for me.

This works :

mklink /J "C:/Users/$username/AppData/Local/Programs/Microsoft VS Code/" "C:/Program Files/Microsoft VS Code/"

Please, be careful with the permission on the source folder. Should work on any drive.

The CircuitBeaker status is unknown, Even after you configure all the configurations and the service is started or restarted and there's no request which was made to the endpoint. Once you make endpoint call, then you'll see the circuitBreaker status.

The short answer: No, in general, a multiprocessing pool does not force the use of all cores.

But let's clear up some things:

The first argument to the Pool initializer, processes, is the number of processes to create within the pool, which is totally different than the number of cores to be used. If you do not specify this argument or use a value of None, then the number of processes that will be created is the number of CPUs (cores) you have given by multiprocessing.cpu_count() and this is different than the number of CPUs that are usable, which is given by os.process_cpu_count(). So your specifying n_cores = 20 and passing n_cores to the pool's initializer might confuse somebody who is unfamiliar how multiprocessing works. This variable would make more sense if it were named n_processes.

So how may cores (CPUs) will actually be used? Assuming you have N cores available to you where N < 20 (the pool size), then we have various cases:

1. If your worker function example_function is long running and contains significant I/O or network activity such that your process periodically relinquishes the core it is running on allowing other process to use the core until the I/O completes, then it is possible that all the cores will ultimately be used -- but not necessarily concurrently. This is a situation where it could be useful to create a pool size that is greater than the number of cores allowing for more I/O activity to be overlapped.
2. example_function is long running and is 100% CPU-bound (i.e. no I/O, network activity, etc.). In this case I would expect all cores to be eventually used by your worker function if you are submitting at least N tasks, but it is not guaranteed depending on what other processes are competing for CPU resources. In any case, it makes no sense to create a pool size that is larger than N; you cannot have more than N CPU-bound computations executing in parallel when you only have N CPUs.
3. example_function is extremely short running and 100% CPU-bound (for example, the function just returns the original argument passed to it). Assuming the length of args (the number of tasks being submitetd) is rather small, it is possible that after the first pool process is created it is able to process all the submitted tasks before the rest of the pool processes have been created. In this extreme case only one CPU would be used by your map call.
4. You have a single long-running task being submitted to the pool. Regardless of whether you specify a pool size of 1 or 20, you will only use a single process. But that process might ultimately run at some point on each of the cores (obviously not concurrently). Should you care? No!

With that out of the way, you state:

I would like to know if there is a workaround for this issue. Because if there is no workaround, then we need to look at other methods such as MPI.

If I'm missing something, please advise.

What is your issue? You never make this clear and yes, I think you are missing something, which I hope the above explanation clears things up.

In summary:

If you have a lot of long running tasks that are a combination of CPU and I/O, it could be profitable to create a pool size larger than the number of cores you have if maximum performance is what you seek. You should not, however, be concerned with which cores are being used to run these tasks. When your worker function needs the CPU to perform its work on a task, the operating system will choose a CPU for you, which may or may not be a CPU that has been previously assigned to any of your tasks.

If, however, you want to limit the resources you use, then do this by creating a pool with fewer processes. For example, you are submitting 100 tasks but you never want 4 tasks to be worked on in parallel. In this case create a pool size of 4. But, again, you should not care which CPUs are assigned to these 4 processes over its lifetime on the assumption that one CPU is as good as another.

You can use thmyleaf ,it is using Jakarta.* ,so it is compatible with spring6 , change the jsp files to html and add attribute in controller.

Set up a group summary notification using the group summary flag and create a separate notification event for regular notifications and set the same group ID for both notification and summary notification.
Setting the pending intent to Notification and summary notification the click events of individual notifications and group notifications can be handled accordingly.

https://developer.android.com/develop/ui/views/notifications/group#set_a_group_summary

Elementor Sticky Sidebar Issue into clear and actionable steps:

1. Isolate the Problem: Create a new, simple test page with only the sticky sidebar. Remove any extra widgets or complex styling from the sidebar on your original page.

2. Test and Simplify: Check if the jumping/flickering happens on the simple test page. If it doesn't, the problem is likely with other elements on your original page.

3. Fine-Tune Elementor Settings: Carefully review Elementor Pro's sticky settings (offset, z-index, etc.). Experiment with slight adjustments to see if they improve stability. Check for elementor updates.

If the problem is not solved by this method then check for Elementor Support.

If you are using Material UI with "@mui/x-data-grid": "^7.28.3", params.api does not work. Instead we can precompute a serial field in rows.

<DataGrid rows={data.map((row,index)=>({...row,serial:index+1}))}

const column = [ { field: "serial", headerName: "ID", width: 70, sortable: false }]

Apparently, it is a bug, or incompatibility, of the Oracle Client version, despite having installed the latest version available.

I applied a database patch to the client (patch p37500148_210000_WINNT), which is not recommended by Oracle, and the connection started working correctly.

I've figured it out.

Gin adds all errors with c.Errors, thus you need a middleware at the end that catches these errors. c.Next() makes sure the middleware runs after the handler.

A minimal example of such a middleware:

func errorHandlingMiddleware(c *gin.Context) {
    c.Next()
    err := c.Errors.Last()
    
    if err != nil {
        slog.Error("Handler failed", "error", err)
    }
}

It turns out that it was bug in Gradle. I used 8.0 version and after updating to 8.13 it works without problems. Gradle version is set in gradle-wrapper.properties file. So to sum it up: it works ok with Android Gradle Plugin version 8.1.4 and Gradle version 8.13

What you could use is the WebJobs feature. You can find a detailed documentation on how to create such WebJobs at Mircosoft Learn: https://learn.microsoft.com/en-us/azure/app-service/webjobs-create?tabs=linuxcode

But unfortunately is WebJobs only for Window Code GA. For Windows Containers, Linux Code and Linux Containers App Serivce WebJobs are in Preview :) Hope that helps to solve your question.

don't worry about 100% CPU usage as your OS actually manages all recources. It's physically can't use all 100%, it's probably about 99,(9)%. If you really like the speed at which your code executes, you can leave it this way and you don't planning on running any other programms in background. Otherwise, i would recommend to cut it in half.

Ok, so a silly mistake was the cause of styles not being applied. I post the solution here because maybe I'm not the only one who makes these little oversights. So... I wasn't importing InputTextModule in the controller

input.component.html

<input type="text" pInputText id="username" />

input.component.ts

@Component({
    selector: 'app-input',
    imports: [InputTextModule],
    templateUrl: './input.component.html',
    styleUrl: './input.component.css'
})

M3M Paragon is a distinguished business building situated in the bustling Gurugram neighborhood. Modern infrastructure, First-rate amenities are all hallmarks of M3M Paragon Commercial Property, which was created to provide contemporary business solutions. Encircled by first-rate amenities such as upscale shopping malls, exquisite dining establishments, and entertainment venues, this premier location is the perfect place for companies wishing to make a big impression. Prominent medical facilities, corporate headquarters, and educational institutions are all close by, creating a vibrant and dynamic commercial environment. M3M Paragon has easy access to major highways and public transit, making it convenient for both tourists and business travelers.

Memcache performance and scalability depend on the server type. Local servers offer cost-effectiveness, ease of setup, and low latency, but may have limited resources and a single point of failure. Dedicated servers offer high performance, scalability, and isolation, but may be more expensive, require more technical expertise, and may experience increased latency.

VS code it would be

lsof -I :xxxx (5000) in this instance

I have developed a screenmirror app :

Home page

you need host your media (video, image, mp3) on local first and then cast to tv using chromecast

You're missing CascadeType.REMOVE in annotation property cascade

j'ai cette erreur lorsque je fais pnpm run build dans mon projet NextJs Node.js v20.19.0 Static worker exited with code: 1 and signal: null ELIFECYCLE  Command failed with exit code 1.

You can dynamically calculate and set both row height and font size so that everything fits within the .container. You already did the row height, you can also handle font scaling. – tepalia

Scaling the font-size down together with the row height is actually what I need. I didn't even consider the font-size is holding up the row height from changing.

function updateRowHeights() {
      const rows = tbody.querySelectorAll('tr');
      const totalHeight = container.clientHeight;
      const rowHeight = totalHeight / rows.length;
      const fontScale = 0.5; // 50% of row height

      rows.forEach(row => {
        row.style.height   = rowHeight + 'px';
        row.style.fontSize = (rowHeight * fontScale) + 'px';
      });
    }

Visual Studio Code has a setting called "Editor: Definition Link Opens In Peek". This is a checkbox.

If unchecked, CTRL+Click on unambiguous definitions will navigate to the definition. If checked, CTRL+Click will open this definition peeking popover.

I actually came to find it because I wanted to tick it on. I find peeking a convenient way to see a definition together in the reference location (basically a more clunky alternative to a feature which would allow us to expand external definitions inplace).

Turns out that this is not something you can change in the code by yourself. I contacted Onfido support who enabled it via a feature flag. Their response:

As your Onfido account is on Studio, when using our studio SDK solution we do not show the back button as going back and forward between is only available within one task, for example, if you open country selection screen you can go back to document selection. But you cannot go back to a document capture after you completed it. So there is no way to go back from the screen provided in the screenshot.
I have however activated for you an exit button on the top right of the screen that exits the whole flow.

Not to be exactly your problem but mine was the order of migration files. I renamed the migration files so the first one was the foreign table and the second one was the main table. As below:

1. migrations/xxxxxxxxxxxxx1-create-userstatus.js

2. migrations/xxxxxxxxxxxxx2-create-users.js

and when I ran the db:migrate, everything was successful.

To generates the correct HTTPS URL, you must set proper protocol in the api_domain entry.

Update scramble.php config file like this:
api_domain=https://github-codespace-domain-and-port.github.com

Set up a group summary notification using the group summary flag and create a separate notification event for regular notifications and set the same group ID for both notification and summary notification.
Setting the pending intent to Notification and summary notification the click events of individual notifications and group notifications can be handled accordingly.

https://developer.android.com/develop/ui/views/notifications/group#set_a_group_summary

Hello Charles Dubois
I work in @Jerry Zhang's team,

Call to destination is of Request scope. i.e. For each request we get destination newly, not cached for further use.

Regards Saji S.

az rest --method post --url https://management.azure.com/subscriptions/{subscriptions}/resourceGroups/{yourresourcegroupname}/providers/Microsoft.Web/sites/{appname}/config/configreferences/appsettings/refresh?api-version=2024-04-01

Maybe You can try .

As of v7, the Cursor plugin is now named Hover.

As mentioned in this Github comment, you can import it with the types:

import Hover from 'wavesurfer.js/dist/plugins/hover.js'

With waveform.js v7 you don't need to install @types/wavesurfer.js.

Based from the error, it seems that https://storage.googleapis.com/cloud-profiler/pprof-nodejs/release/v4.0.0/node-v108-win32-x64-unknown.tar.gz doesn’t exist. I went to https://storage.googleapis.com/cloud-profiler/ to check which binaries are available and searched for keywords like ‘win32’ and ‘node-v108’, but all I found were binaries for Linux environments.

Since no pre-built binaries were found, node-pre-gyp will attempt to compile the package from source using node-gyp, used to build binaries. However, this could fail if you don’t have the necessary build tools set up on your machine. For information about the dependencies required to build binaries with node-gyp, see node-gyp's installation documentation.

You may also check this documentation from Google Cloud about profiling Node.js applications, which might help you.

This might also be caused by VSCode updating while it's running. Extensions and the extension host can start to behave weirdly in this case. This is resolved by reloading the window or restarting VSCode completely.

You may also notice "Restart extension host" buttons in the extension manager. Pressing it causes a "Version mismatch" error to pop up if the issues were indeed caused by an update. This too is resolved by reloading the window.

Add to your values.yaml

controller:
  extraEnvVars:
    - name: KAFKA_CFG_ADVERTISED_LISTENERS
      value: PLAINTEXT://localhost:9094
    - name: KAFKA_CFG_LISTENERS
      value: PLAINTEXT://:9094

I met the same error. you can try run command like this: mcp dev server.py rather than "mcp dev .\server.py" cause mcp will not find file .\server.py!

I recently struggled with the same issue.

I found it under the following directory:

/opt/homebrew/Cellar/kafka/3.9.0/libexec/config 

I had to navigate to it via terminal as /opt was not appearing in finder

Try to download it with API, in UiPath download the WebAPI.Activities and then you can use the HttpWebRequest activity, there are some videos on youtube that can help you.

While working on a location-based AR project with AR.js and A-Frame, I discovered that precise positioning isn't built into AR.js itself. The technology needed is called Visual Positioning System (VPS), which is a separate component.

What is VPS?

VPS uses computer vision to match features from your device's camera feed with pre-mapped 3D data of physical environments. This enables precise 6DoF positioning (both location and orientation) without requiring physical markers or GPS.

Current Market Solutions:

8th Wall: Integrated Niantic's Lightship VPS into their web AR platform, offering seamless anchoring to real-world surfaces ZapWorks (with Mattercraft): Provides VPS capabilities often at more competitive pricing Immersal: Offers VPS solutions that can be integrated into AR applications

Key Takeaways:

• AR.js limitations: Focuses on marker-based and basic location-based AR but lacks built-in VPS

• Separate technology: VPS is a specialized module requiring extensive mapping and processing

• Commercial solutions: Available options like 8th Wall, ZapWorks, and Immersal offer integrated VPS capabilities

• Cost consideration: While these solutions are powerful, they typically require commercial licensing that can be quite expensive

This issue come from the latest wdk 10.0.26100. After I reinstall older Wdk version such as 10.0.22621, above error will be solved.

previously, there was a console error right?. But now, you have to select the text to remove.

Now, in the HelloComponent there is an error. Property 'name' has no initializer and is not definitely

  constructor() {
    this.name = 'test';
  }

Try adding a constructor and it works fine after that. Demo fixed

For the record. It's always a compile or run time error that causes these rich edits to going rouge

I tried using my API key for the GPT endpoint via C#, but I'm getting a 403 Forbidden error. Is the key restricted to MQL requests or is there something I'm missing?

<input
         onChange={(e) => filesSelected(e)}
         ref={fileInput}
         id="hidden-input"
         type="file"
         multiple
         webkitdirectory 
         directory
/>

update the api_domain entry in scramble.php like this:
api_domain=https://github-codespace-domain-and-port.github.com

I need to select my class name in Custom class field as seen in screenshot.

The case dismissed as becoming not valuable anymore.

The issue persists in the testbed .

Yes, once it's committed, it's committed. That's really the point of commit.
If you need to do this, then you're doing the rollback at the business level (which is a valid use case). You would need to write the inverse Cypher in its own transaction to undo the first commit. I.e. Delete the relationship and the two nodes you created in the first transaction.
Have a look at this article https://en.wikipedia.org/wiki/ACID which should help you understand the principles of how transactions in an ACID database, like Neo4j, work.

ASP.NET is not a mobile app framework in itself (like React Native or Flutter), but it's super useful on the backend for mobile apps.

Cases for ASP.NET in Mobile Dev:

Backend for Mobile Apps

Develop RESTful services using ASP.NET Core Web API

Serve mobile apps with data, user authentication, file uploads, push notifications, etc.

Secure with JWT tokens or OAuth

Mobile Web Apps

Use ASP.NET Core with Razor Pages or MVC to build mobile-friendly websites (responsive via Bootstrap, Tailwind, etc.)

enter image description here

These aren’t "apps" in the App Store sense, but they’re optimized for mobile browsers.

Progressive Web Apps (PWAs)

Build a web app with ASP.NET Core and enhance it with service workers, manifest files, etc.

You get an app-like experience on mobile browsers with offline support and home screen installability.

It is most likely due to a mismatch between the type of your user primary key and the mixin type inherited by your UserManager. This discrepancy causes errors during token parsing, leading to a situation where the user is considered non-existent, which results in a 401 Unauthorized response.

✅ SOLVED.

!pip install yfinance==0.2.54

According to the documentation, creating a lot number reserves it for a product but does not assign it.

There are multiple ways to assign lot numbers to groups of products based on sharing common properties and other properties. They can be imported from an existing or created from scratch. Check here for more details on all possible options and select the one that fits your needs.

please check if FileBeats is configured with appropriate settings:

1. Ensure close_inactive The setting isn't too high

2. Check if scan_frequency is appropriate

3. Verify that backoff and backoff_factor Settings are optimized for your environment

I think now you need to use sp_xp_cmdshell_proxy_account to let SQL Server know the proxy credential to use for xp_cmdshell. For example, try running

EXEC sp_xp_cmdshell_proxy_account 
    'UserNameForB', 
    'PasswordForB';

And then see if it xp_cmdshell works when EXECUTE AS LOGIN = 'B'

We are currently trying to get our own package up and running: https://github.com/trieb-work/nextjs-turbo-redis-cache it does support next.js 15 and works a bit different to the neshca idea. Take a look.

The issue was fixed by logging out of the Tableau Server and then signing back in from the menu bar:

• Server > Sign In to [server name] > Sign Out

• Server > Sign In ... > [select your server and domain]

After this, connecting to a Tableau Data Source works fine.

I faced this issue when I was trying to zip python project and then upload archive to execute the code. The main reason is zip in MacOS put extra system files by default.
Flag "-X" helped me to solve this.
zip -r -X archive.zip my_folder

Just go to the link from your browser and then copy all the words and paste it in a words.txt file and access the words from the text file instead of using urllib.

still not finding a better way to profile compile time but i do find the main reason that cause extra 0.6 second. it was a struct contain a huge array inside, its size was 0.5 mb. by removing all those array my compile time drop to 0.2 second(WOAH). i discovery this by having a a size 25mb struct by accident ,it ate all my 16 gb memory during compile. in the past ,i wasted time micro-probing my code by removing section of code but no avail. i did use precompile header to speed up time.but can't get it work with debug flag, causing more headache.(and it don't even work well) If the profiling tool that could tell me that, i would have avoid all these ):

The best fix is to turn off the x-axis for the colorbar's once it's been created. Try not use set_xticks([]). Instead, use:

cax.xaxis.set_visible(False)

please try to turn on Reader mode.

The code can be virtually reindented, but it is impossible to insert or remove line breaks virtually.

Thank you!

Disabling my antivirus worked for me

Same issue, but different resolution. In my case, issue came from sensitivity. If document Sensitivity is set to 'Unclassified' or equivalent, then it works, if you put any other sensitivity, then you can't access it from python to avoid loss of classification of data.

This is caused by your firewall. When you run the site your firewall blocks some of the policies.

Windows 11 "Settings -> Privacy & security -> Windows security -> Virus & threats protection" disable / turn off all of them

If you want to monitor the string, you can generate a hash of the string and extract only the numeric part to map the string to a numeric value.

If you want to store the value, you can upload the string to TXT record in Route 53

Go to settings (Ctrl+,) search for "chat.agent" and enable it if it's not enabled. It should be enabled by default when you update VS Code to 1.99.2 onwards. And like @Dmitriy mentioned, you can select agent from the ask option in chat view.

bcz , spark on kubenetes non-JVM tasks spark.executor.memoryOverhead default values is 0.4 .

This sets the Memory Overhead Factor that will allocate memory to non-JVM memory, which includes off-heap memory allocations, non-JVM tasks, various systems processes, and tmpfs-based local directories when spark.kubernetes.local.dirs.tmpfs is true. For JVM-based jobs this value will default to 0.10 and 0.40 for non-JVM jobs. This is done as non-JVM tasks need more non-JVM heap space and such tasks commonly fail with "Memory Overhead Exceeded" errors. This preempts this error with a higher default. This will be overridden by the value set by spark.driver.memoryOverheadFactor and spark.executor.memoryOverheadFactor explicitly.

You only need to add 'fixed' to the watermarkContainer View,

<View fixed style={styles.watermarkContainer}>
    <Image src={Watermark} />
</View>

Fixed element are visible on all pages.

Hey @Youxun Shen was there a solution for this? is there any other method to push this?

Vestibulum neque massa, scelerisque sit amet ligula eu, congue molestie mi. Praesent ut varius sem. Nullam at porttitor arcu, nec lacinia nisi. Ut ac dolor vitae odio interdum condimentum. Vivamus dapibus sodales ex, vitae malesuada ipsum cursus convallis. Maecenas sed egestas nulla, ac condimentum orci. Mauris diam felis, vulputate ac suscipit et, iaculis non est. Curabitur semper arcu ac ligula semper, nec luctus nisl blandit. Integer lacinia ante ac libero lobortis imperdiet. Nullam mollis convallis ipsum, ac accumsan nunc vehicula vitae. Nulla eget justo in felis tristique fringilla. Morbi sit amet tortor quis risus auctor condimentum. Morbi in ullamcorper elit. Nulla iaculis tellus sit amet mauris tempus fringilla. Maecenas mauris lectus, lobortis et purus mattis, blandit dictum tellus. • Maecenas non lorem quis tellus placerat varius. • Nulla facilisi. • Aenean congue fringilla justo ut aliquam. • Mauris id ex erat. Nunc vulputate neque vitae justo facilisis, non condimentum ante sagittis. • Morbi viverra semper lorem nec molestie.

Normally, the main sitemap of TYPO3 is located only with ?type argument here: https://www.lumedis.de/?type=1533906435

This sitemap contains 2 "sub sitemap", one for each chunk of 1000 pages on your site. Your url is one of them directly.

If you have other extensions installed (like news), there are also sitemaps for these. So its never a good idea to check only one sitemap type.

r = requests.get(url, stream =True)
check = zipfile.is_zipfile(io.BytesIO(r.content))
while not check:
    r = requests.get(url, stream =True)
    check = zipfile.is_zipfile(io.BytesIO(r.content))
else:
    z = zipfile.ZipFile(io.BytesIO(r.content))
    z.extractall()

Got a sample that takes a photo OK.
Want to take a video but no methods:

StartRecordingAsync()

and

StopRecordingAsync()

with a CameraView instance.

Any ideas??

Did you find a way to fix this ?

Did you change anything with the default typoscript of the sitemap?

Normally https://www.lumedis.de/sitemap.xml would be an index of sitemaps, the limit of 1000 is "per page" so you would have 2 pages of sitemaps in your index.

But when I visit your sitemap it doesn't show the index but directly all the urls.

Take a look at the sitemap of typo3.org, it shows 3 pages of news: https://typo3.org/sitemap.xml
Each with a limit of 1000.

Cheers for this, I have a Stream Channel where members can Knock to be draged in. This saves that, I get an alert now. Thank you!! very new to creating bots last attempt was back when discord's first bots was made :P

I wanted to have something from the Python standard library like shelve, but also the parameters from cachier. So I built upon the answer of @nehem and @thegreendroid.

import datetime
import os
import shelve
import pickle
from functools import wraps

def shelve_it(cache_dir='/tmp/cache', stale_after=None):
    '''
    A decorator to cache the results of a function.

    Args:
    - cache_dir (str): The directory where the cache will be stored.
    - stale_after (timedelta): The duration after which the cache is considered stale.
    '''
    cache_file = os.path.join(cache_dir, 'cache.shelve')

    if not os.path.exists(cache_dir):
        os.makedirs(cache_dir)

    def decorator(func):
        @wraps(func)
        def new_func(*args, **kwargs):
            cache_key = pickle.dumps((args, kwargs))
            cache_key_str = cache_key.hex()

            with shelve.open(cache_file) as d:
                if cache_key_str in d:
                    if stale_after and 'timestamp' in d[cache_key_str]:
                        timestamp = d[cache_key_str]['timestamp']
                        if datetime.datetime.now() - timestamp > stale_after:
                            del d[cache_key_str]
                            print(f'Cache for {cache_key_str} is stale, recalculating...')
                        else:
                            return d[cache_key_str]['result']
                    else:
                        return d[cache_key_str]

                result = func(*args, **kwargs)

                if stale_after:
                    d[cache_key_str] = {'result': result, 'timestamp': datetime.datetime.now()}
                else:
                    d[cache_key_str] = result
                    
                return result

        return new_func

    return decorator

Usage

@shelve_it(cache_dir='/tmp/my_cache', stale_after=datetime.timedelta(days=2))
def expensive_function(param, multiplier=2):
    import time
    time.sleep(2)
    return param * multiplier

print(expensive_function('test'))  # This will take 2 seconds
print(expensive_function('test'))  # This will be instant, using the cache

I tried your solution of connecting AIDL through Intent, but still I got this error

ActivityManager: Unable to start service Intent { ... } U=0: not found

May I ask if your code works in this way? Or it only works with the getService way?

Even i am also facing same issue please let me know if you find the solution

The problem here is that you are trying to use an NGINX plus package, for which you need to purchase a subscription.

Or you have GetSpeedPage repository subscription, but meh. https://www.getpagespeed.com/repo-subscribe

You have something maintained by google's team which it should be free. https://github.com/google/ngx_brotli

I just used the plain old gzip compression, which will do the work 99.9% of time.

I am using CentOS 09 combined with an nginx web server.

it is not 100% accurate ,Even with exclusive access it does not do full scan by default.So the row count is close, but not guaranteed exact.you can rely on it when need approximate row counts.
if you want fast and accurate counts,then maintain row count using trigger

Hibernate does not try to cache the result of every query executed. Only specific operations like findById benefit from the first-level cache. If you want broader caching, you can either use these methods or implement second-level caching

I had this issue as well on mariadb version 10.6 after upgrading to 10.7.2 the issue resolved itself. I have found no other way to remedy it.

PlayerView(context).apply {
    player = exoPlayer
       setControllerShowTimeoutMs(0)
       setControllerHideOnTouch(false)
       controllerAutoShow = true
       showController()
}

This is how you can do it with compose.

This issue was closed by follow pull request: https://github.com/primefaces/primevue/pull/6454

how to solve this issue in neo4j desktop 1.6.1 and neo4j 5.24?

am getting same error so what i do like i have tries 4111 1111 1111 1111 these crendential so it not working it shows me these errror "Your payment could not be completed as this business accepts domestic (Indian) card payments only. Try another payment method"

I had this same issue after a Windows update restarted my machine with Eclipse still running. When I restarted Eclipse, it was complaining about not being able to find java.sql.Connection.

No amoount of Maven dancing (Alt-F5, Select All, Refresh), starting Eclipse -clean or other jiggery pokery did anything, until I went into Window, Preferences, Java, Compiler, and I selected a Compliance Level other than the one listed (and supported for my JDK) and clicked Apply And Close.

This warns about a rebuild, but it was the rebuild that fixed the issue

I have posted this question and I have got the answer now. I am so happy to find the solution and post is here.

So to pass the value dynamically to the only-dir flag , we can make use of the paramaters of the DAG (which is used while triggering the DAG.)

So while triggering the DAG i have included the needed directory path in the config and made use of it using JINJA templating of Airflow.

I am sharing the code snippet sample for doing the same.

# Generate a unique identifier
unique_id = str(uuid.uuid4())

# Add the unique identifier to the labels
labels = {
    "composer-env": cluster,
    "project-name": gcs_project_name,
    "version": "1.0",
    "stream": "e2e",
    "unique-id": unique_id  # Unique identifier
}


class CustomGKEStartJobOperator1(GKEStartJobOperator):
    def __init__():
        pass

    template_fields = GKEStartJobOperator.template_fields + ("volumes",)

    def execute(self, context):
        # Re-render volume_attributes before pod creation
        for vol in self.volumes or []:
            if hasattr(vol, "csi") and vol.csi and vol.csi.volume_attributes:
                for key, val in vol.csi.volume_attributes.items():
                    if isinstance(val, str) and "{{" in val:
                        path_name = self.render_template(val.split("dir=")[1], context)
                        vol.csi.volume_attributes[key] = val.split("dir=")[0] + "dir=" + path_name
        return super().execute(context)



gcs_volume_mount = V1VolumeMount(
    name="gcs-fuse-csi",
    mount_path="/data",
)

gcs_volume = V1Volume(
    name="gcs-fuse-csi",
    csi=k8s.V1CSIVolumeSource(
        driver="gcsfuse.csi.storage.gke.io",
        volume_attributes={
            "type": "gcs",
            "bucketName": datalake_bucket,
            "mountOptions": "implicit-dirs,file-mode=0777,dir-mode=0777,only-dir={{ params.gcs_path }}"

        }
    )
)
check_mnt = CustomGKEStartJobOperator1(
            task_id='cehck_mnt_task',
            name='cehck_mnt-pod',
            image=adtf_image,enter image description here
            volumes=[gcs_volume],
            volume_mounts=[gcs_volume_mount],
            cmds=["bash", "-c"],
            arguments=["cp /data/ab.json /data/abc.json && sleep 300"])

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After multiple attempts, I discovered that I also need to place the logic that actually updates the state inside the startTransition callback for the code to execute as expected. Below is my code:

  const toggleIsFavorited = async () => {
    setError('');
    const nextIsFavorited = !isFavorited;
  
    // Wrap optimistic update in startTransition
    startTransition(async () => {
      setOptimisticIsFavorited(nextIsFavorited);
      try {
        const result = await toggleFavorite();
        if (result === 'success') {
          setIsFavorited(nextIsFavorited);
        } else {
          setError('Failed to add to favorites!');
        }
      } catch (err) {
        setError('An error occurred');
      }

    });
  };

I still don't know why :(

I changed my file's name from doctr.py to doctr_ocr.py and it worked. I guess we are not supposed to name it as doctr.py