The accepted answer will modify your current shell session's history.
A better solution which isolates the running shell is this:
(history -cr "$path_to_hist_file" ; history)
PS: I also made a gist to showcase how to display a file from a remote host through SSH singlehandedly. It adds a bit more complications. Here it is for interested people:
ALB doesn't natively support Authorization: Bearer headers. You can use a Cognito User Pool with API Gateway for JWT validation or a Lambda Authorizer as middleware for authentication.
You always want to use sticky sessions in a scenario where you may change the fundamentals of the underlying system... such as when you have hash-named files, or your api is not versioned etc.
I have resources defined correctly, but still get the same issue, trying for past 2 days, as a result HPA is not working for me. I am on AKS.
Warning FailedComputeMetricsReplicas 7m10s (x4 over 7m55s) horizontal-pod-autoscaler invalid metrics (1 invalid out of 1), first error is: failed to get cpu resource metric value: failed to get cpu utilization: did not receive metrics for targeted pods (pods might be unready)
Warning FailedGetResourceMetric 6m55s (x5 over 7m55s) horizontal-pod-autoscaler failed to get cpu utilization: did not receive metrics for targeted pods (pods might be unready)
Sorry to comment on a post from several years ago but does anyone know if this issue has been resolved? I am experiencing a similar issue with a memory leak in 18.1.0.1
Always use error checks only for getting a error means when something is not returning correctly.
if (!SDL_RenderTexture(renderer, fairy)) { }
Just think like that if SDL_RenderTexture() is returning correctly why would there be an error. SDL_GetError() gives you the latest error at that point.
by judging by your error code, try to explicity add "details" variable in your model class GenerateContentResponse, try to create a custom response in case any GenerateContentResponse block it might have.
Steps to Create a Helper Column for Sorting Project Numbers Numerically:
Reference the Project Number Column:
In your helper sheet, reference the AllData[ProjectNum] column. For example, if your project numbers are in column A of the AllData table, you can reference them in the helper sheet like this:
=AllData[ProjectNum]
Copy this formula down to create a full column of references in your helper sheet (let’s call this column NumCopy).
Extract the Numeric Part of the Project Number:
In the next column (let’s call it Order), use your formula to extract the numeric part of the project number:
=VALUE(TRIM(MID(V2, 9, LEN(V2))))
Adjust V2 to the correct cell reference in your helper sheet (e.g., if NumCopy is in column V, and you’re starting in row 2).
This formula assumes the numeric part starts at the 9th character. If the structure of your project numbers varies, you may need to adjust the MID function.
Ensure the Order Column is Numeric:
Double-check that the Order column is formatted as a number. To do this:
Select the Order column.
Go to the Home tab > Number Format > Choose Number.
If there are any errors (e.g., #VALUE!), it means some project numbers don’t follow the expected format. You may need to clean the data further.
Sort the Data:
Select both the NumCopy and Order columns in your helper sheet.
Go to the Data tab > Click Sort.
Sort by the Order column (smallest to largest).
Ensure the "My data has headers" option is checked if your helper table has headers.
I'm very, very late to the party, but I found through SciPy's dendrogram link that the icoord output is from a data structure returned after calling the dendrogram function. Just assign a variable to the function call. The dendrogram is still displayed but that long output is not shown.
asyncio.create_task is made for running coroutine in the same event loop as the main process. And await create_task(CatalogHandler.catalog_check(user.group_name, req.source, req.csv)) blocks process because it makes event loop wait for function execution.
What I changed:
Made CatalogHandler.catalog_check method sync.
Changed calling it to await to_thread(CatalogHandler.catalog_check, user.group_name, req.source, req.csv). It makes function run in a separate thread without blocking main event loop.
And everything seems to work! Now I can execute a long-running process with websockets without blocking other API endpoints. Hope this is being useful. Will update this answer if I find anything interesting about the solution.
Yeah, apparently its use is limited to Tier 3 organizations as mentioned by OpenAI staff here on their forums. You can check your organization's current tier on https://platform.openai.com and looking at the bottom of the "Limits" page under "Organization" on the left side bar.
Use notepad $profile to comment out the lines that are causing the issue in your PowerShell profile script and start a new session. If that solves the issue you can then further refine it.
You can disable a PowerShell module or un-install it using:
Its called the "typing effect".
The typing effect is designed to simulate
a more natural conversation !!!
You can ask copilot to turn it off, and it will, but it only stays off for a question and then its back on.
What I ended up doing was reading the Paket documentation. I realised that it uses the paket.dependencies and paket.lock file to figure out what dependencies it needs to install.
So in the Dockerfile, I first copied in these two files and then did the paket restore before copying in the rest of the sourcecode and building it. This allows these two layers to be cached, and they don't have to be re-run unless the paket.dependencies or paket.lock changes.
Selecting each one will give you a modified version of the restAPI command to create or update database
Selecting "2014-04-01" will give you the below:
PUT https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/databases/{databaseName}?api-version=**2014-04-01**
Selecting "2021-11-01" will give you the below:
PUT https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/databases/{databaseName}?api-version=**2021-11-01**
Note the last part of both PUT statements have different versions. So the Alert from MS is saying that if your app or script developers have used the older (2014) API version, they need to upgrade this to the newer (2021) API version. Hope this adds some more context.
First, why are you trying to run an app in VS Code in a container? Normally you are just going to run a React application on a host within a container. You usually just create a production build and then that gets exported to your container and you run it outside of an IDE.
Well, in reality, the "operation itself" will be interlocked, but if you need the result of the operation, or the previous value, then if no align, only the flags (sign) will result interlocked.
Open Your Project in Xcode:
• Launch Xcode and open your project.
2. Check the Build Phases:
• In the project navigator, select your app’s target.
• Go to the Build Phases tab.
3. Locate the ‘Copy Bundle Resources’ Phase:
• Expand the Copy Bundle Resources section.
4. Remove Info.plist from the List:
• Look for the Info.plist file in the list of resources being copied.
• Select it and click the - button to remove it from this phase.
Note: Don’t worry—removing Info.plist from this phase won’t harm your app. Xcode already handles its inclusion elsewhere.
5. Clean and Rebuild the Project:
• Go to the menu bar and select Product > Clean Build Folder.
• After cleaning, build your project again to ensure the issue is resolved.
ERROR [web 8/9] RUN cd project && ./manage.py collectstatic --noinput 0.2s
------
> [web 8/9] RUN cd project && ./manage.py collectstatic --noinput:
0.211 /bin/sh: 1: ./manage.py: not found
------
failed to solve: process "/bin/sh -c cd project && ./manage.py collectstatic --noinput" did not complete successfully: exit code: 127
My english is not good enought. Can you explain it more basically please ? Thanks.
I was able to figure this out. Apparently, somewhere along the way I deleted several columns in the dataset I was attempting to reverse scaling on. Once I discovered that and made the necessary changes, the code, as written, worked as expected.
I suspect that the inverse.transform line was referencing a version of the dataset from earlier in the program, but at this time I can't see where. But this was my solution.
In MUnit you can also check this using compileErrors:
assertNoDiff(
compileErrors("Set(2, 1).sorted"),
"""|error: value sorted is not a member of scala.collection.immutable.Set[Int]
|Set(2, 1).sorted
| ^
|""".stripMargin
)
You're right, the error means that a file is corrupt. In this case, it looks like it's the gradle file. I'll recommend deleting .gradle in C:\Users\[your_username], and also changing the version of your grade in gradle-wrapper.properties
Can you check my code where the problem exists?
I am using React for frontend node.js and socket.io. My connection is okay; the datachannel is working too, but I dont know why my ontrack event is not getting triggered. I have been debugging for almost 3 days and am not getting where the issue exists.
Can you check my code and find out where the problem exists?
If you create the named ranges using name manager in Sheet1 and set scope to 'Worksheet', then you copy the sheet to another (right click tab and then the ranges in the new sheet will be local to that sheet only, as shown in the previous diagram (prefixed with the sheet name). The default when creating a name in the Excel box (top lhs) is 'Worksheet' so best to create using name manager. Gook luck:)
Different people would suggest different solutions as there are multiple ways to solve this problem.
Method 1
Add the path of the subdirectory from you want to run the script in sys.path. In fact you can add as many paths as you can to let compiler find the script from the given locations.
Method 2
You can write a separate python file called setup.py and call it in your main script. This file should work as follows:
I had the same issue importing with the @ alias, but the above did not resolve my issue.
What resolved it for me was actually in the Vercel Project Settings, I had set the Build & Development Settings to 'npm run build' and set the override to enabled. Vercel must be messing with something when you do an override as the build command they show in the logs is the same as I put in the override.
After disabling this override, when the deploy ran again the imports that used the @ worked.
Ajith's answer is correct and most straight. Yes you just missed installing NodeJs, which must be in your installation guide to run GW. And Node JS is one of the dependencies.
I looked EVERYWHERE for an answer to this problem. XAMPP 7.4 always worked to access my website content on an external drive on Monterey. When I updated to Ventura, it stopped working.
What finally solved the problem was:
MacOS > System Settings > Privacy & Security > Full Disk Access. Add manager-osx to the list.
Food is anything that provides nourishment and energy to the body. It includes a wide variety of things like fruits, vegetables, grains, meats, dairy, and even processed foods. Essentially, it’s what keeps us alive, healthy, and fueled! Are you thinking about what food means on a deeper level or just curious in general?
Stumbled upon this question while I was searching for the same.
RabbitMQ allows you to set the user-id property which it validates and passes down as a header to the consumer:
https://www.rabbitmq.com/docs/validated-user-id
Ironically, just an hour or so after I added the bounty, I stumbled on the solution. I wanted info about the song to show on the Android Auto screen, so I found documentation on the mediasession.setMetadata() method. I added code to set the metadata and suddenly the playback controls were there (and the metadata). I think the "Getting your Selection..." message was a clue that it might have been hanging on getting metadata for the song, which was missing before.
This has been a long project with many bumps in the road, but I think I'm in the home stretch now! Just got a new car with Android Auto support, so I can try it out on the road :).
on my side the issue was that i was running angular inside .net environment and the publish was failing because i had old deprecated ng packages ,so i had to update update my .csproj file , where there is npm install to , add --legacy-peer-deps
var float dailyOpen = na
var line openLine = na
var int x1Line = na
period = dayofmonth
if period != period[1]
dailyOpen := open
x1Line := bar_index
openLine := line.new(x1Line , dailyOpen, bar_index, dailyOpen, color = color.gray)
else
line.set_xy1(openLine, x1Line, dailyOpen)
line.set_xy2(openLine, bar_index, dailyOpen)
I tried many solutions when this error appeared, but with God’s help, the problem was solved by creating a function to create the table using Try Catch. Here is the function:
private void CreateTable()
{
db.Execute("CREATE TABLE IF NOT EXISTS Person (Id INTEGER PRIMARY KEY AUTOINCREMENT, Name TEXT, Phone TEXT)");
}
In python, you can directly use Pandas dataframe to handle Decimal objects.
Also, I tried using json.loads() instead of eval() or literal_eval() as the data in your example seems to be JSON-like.
Next, try passing the data either as bytes or as a file-like object to use streamlit download.
I just tried merging the cells in the row just below the last row of the table (Merge & Center), then added a row to the table, and it kept the distance between the table and the data below it the same.
مدلهای سهبعدی انتزاعی که نشاندهنده مفاهیم معماری و زیباییشناسی عصبی باشند. این مدلها میتوانند به صورت ایدهپردازانه و نوآورانه باشند و به مخاطبان این حس را بدهند که کلاسها به آنها این امکان را میدهند تا از خلاقیت خود برای طراحی فضاهای منحصر به فرد استفاده کنند
import { ChatOpenAI } from "@langchain/openai";
const model = new ChatOpenAI({apiKey: process.env.OPEN_AI_API_KEY, model: "gpt-4o-mini"});
# The TS equivalent is bindTools and not bind_tools
model.bindTools(tools);
This is the way we currently organise it. We've discussed our architecture with Databricks consultants assigned to us and so far there haven't been strong objections raised. That said, I believe in allowing for flexibility in the architecture based on the individual use case.
In the raw layer, we have raw files coming in from various sources. For example, an API call could produce a json output we store as a json file. We could copy stored backups of databases here as well. The idea is that the files are stored as is, because in the case where things go wrong, we want to at least still have our raw data. This is especially important when there is no way to retrieve historical data from your source - for example, snapshot data.
In bronze, we convert everything to delta tables. You can think of it as just a version of raw where everything is in delta format. We want to build our foundation on delta tables so that we have a common way to query and analyse our raw data should we want to.
In silver, we do the cleaning and transformation of data. As far as possible, we try to process anything that can be done incrementally here, as pyspark lends itself better to more readable implementations of complex transformations versus sql, and we want to keep our sql queries in gold as simple as possible.
In gold, we run queries that form the fact and dimension tables that make up our star schemas. Here, we run some aggregations and rename columns so that they are readable to our business users.
From there, you could set up a SQL warehouse or use Delta Sharing to connect to a BI Tool. Or, you could using the Silver or Gold tables for ML purposes.
P.S. Generally, I recommend using Unity Catalog as using the three layer namespace to query tables makes the code look far more readable. It also makes it easier to control access to certain catalogs/schemas/tables. Raw data could be stored as volumes and once you have delta tables in the bronze layer onwards, you can store them as tables.
P.P.S. With that said, I don't think you always need to have all the layers. In fact, we are considering getting rid of raw and bronze layers for data that gets to the silver layer very quickly and can be easily retrieved again at a later date, because there is a very low cost to rerunning the raw through silver layers on failure, but a relatively high cost to store, read and write them.
This all sounds crazy. Then again I am not a computer geek. Could this be helping something that is fraud be covered up? Maybe a stupid question but it all smells a little fishy to me. When you mention property could you be talking about a real property or interest in? Sorry if I am way off just curious.
I reproduced the situation in my machine. It seems like you forgot to add a return word in App.vue :). It works well and the checkbox is checked at first time
