you basically have a nested array inside `input.values`, where each element is itself an array, and the first element of that sub-array is an object containing `"email"`.
In Azure Data Factory (ADF) or Synapse Data Flows, you can flatten this cleanly without multiple copy activities.
Here’s a step-by-step approach using a Mapping Data Flow:
---
Source
• Point your Source dataset to the JSON file (or API output).
• In Projection, make sure the schema is imported so you can see `input.values`.
---
First Flatten
• Add a Flatten transformation.
• Unroll by: `input.values`
This will give you each inner array as a row.
---
Second Flatten
• Add another Flatten transformation.
• Unroll by: `input_values[0]` (the first element of the inner array — the object with `email`).
• Now you can directly access `email` as a column:
As @Tsyvarev pointed out, the error indicates that arm-none-eabi-ar was not found, and I had not created a symlink for that. After creating a symlink for it in the same manner as the rest, I was able to use CMake successfully and build the project!
macOS requires you to use the BEAM bundle when compiling your code. You can do it by adding -bundle -bundle_loader /opt/local/lib/erlang/erts-16.0/bin/beam.smp to your Makefile replacing the BEAM location with yours. Also, Erlang looks for .so files and not .dylib files when loading your NIF on macOS.
Indeed, the essence of these patterns is the same. They both solve the problem of data inconsistency resulting from message send/receive errors.
Inbox guarantees that a message will be received at least once - i.e., there will never be a situation where some work was scheduled but never performed.
Outbox guarantees that a message will be sent at least once - i.e., there will never be a situation where some work was performed but nobody was acknowledged about this.
Both of these patterns use a table in the DB for the same purpose - as an intermediate buffer for messages (inbox for incoming, and outbox for outgoing), from which messages are then read out by a separate worker and processed.
Moreover, these patterns can be used together - the same worker reads a message from the inbox, executes business logic with it, and writes a new message to the outbox.
if use WorkingArea.Height it will automatically adjust the height depending on whether task bar is visible or not.
this.Height = screen.WorkingArea.Height;
if you just want the height of the taskbar:
int taskBarHeight = screen.Bounds.Height - screen.WorkingArea.Height
The answer from Michael Hays is great, just adding as a tip for other facing the same issue as me:
if you have a column duplicated in your df, you will get a "ValueError: Must have equal len keys and value when setting with an iterable" even using `at`.
df = pd.DataFrame({'A': [12, 23]})
df2 = pd.concat([df, df], axis=1)
df2['B'] = pd.NA
print(df2)
A A B
0 12 12 <NA>
1 23 23 <NA>
print(df2.dtypes)
A int64
A int64
B object
dtype: object
df2.at[1, 'B'] = ['m', 'n']
# ValueError: Must have equal len keys and value when setting with an iterable
The solution is of course not to have duplicated columns.
I’m experiencing exactly the same issue.
I’m using Next.js and calling the Instagram Graph API to publish carousel posts. On my profile the carousel appears correctly as a single post, but my followers sometimes see each image separately in their feeds, as if I had posted them individually.
Even worse, followers can like and comment on these “phantom” posts, but I can’t find or manage those standalone posts anywhere afterward.
Have you found any solution or workaround for this behavior? Any update or confirmation from Meta would be super helpful. Thanks!
Reasons:
Blacklisted phrase (0.5): Thanks
Blacklisted phrase (1.5): any solution
RegEx Blacklisted phrase (2.5): Have you found any solution or workaround for this behavior
RegEx Blacklisted phrase (2): any solution or workaround for this behavior?
The natural solution would be to use a network server from which those machines can get information on which system to boot. On the teacher's machine it is trivial to do in a certain directory:
echo linux > bootsel; python3 -m http.server
or
echo windows > bootsel; python3 -m http.server
The problem is how it can be handled in GRUB. I spent some time checking the documentation, searching the web, and finally discussing it with ChatGPT.
Grub may load the file from the HTTP server. The commands below display the contents of such a file (I assume that the server has IP 10.0.2.2 - like in the case of a QEMU-emulated machine):
insmod http
insmod net
insmod efinet
cat (http,10.0.2.2:8000)/bootsel
The question is, how can we use the contents of this downloaded file?
Grub does not allow storing that content in a variable so that it could be later compared with constants.
Theoretically, the standard solution should be getting the whole grub configuration from the server and using it via: configfile (http,10.0.2.2:8000)/bootsel
Such an approach is, however, insecure. Just imagine what could happen if somebody injects a malicious grub configuration.
After some further experimenting, I have found the right solution. Possible boot options should be stored in files on the students' machines:
Then we should add getting the file from the server and setting the default grub menu entry.
That is achieved by creating the /etc/grub.d/04_network file with the following contents (you may need to adjust the menu entry numbers):
#!/bin/sh
exec tail -n +3 $0
# Be careful not to change the 'exec tail' line above.
insmod http
insmod net
insmod efinet
net_bootp
if cmp (http,10.0.2.2:8000)/bootsel /opt/boot_win; then
set default=2
fi
if cmp (http,10.0.2.2:8000)/bootsel /opt/boot_debian; then
set default=3
fi
# Ubuntu is the default menu entry 0, so I don't need to handle it there
The attributes of the file should be the same as of other files in /etc/grub.d. Of course, update-grub must be run after the above file is created.
Please note, that the selected approach still enables manual selecting of the booted system in the GRUB menu. It only changes the default system booted without the manual selection.
If the HTTP server is not started, the default menu entry will be used after some delay.
@sppc42 has the right answer, but some details that took me a minute to find:
- task: DotNetCoreCLI@2
displayName: 'dotnet build lib project only'
inputs:
projects: '**/*.csproj'
arguments: '/p:ContinuousIntegrationBuild=true -c $(BuildConfig)'
workingDirectory: '$(System.DefaultWorkingDirectory)' <<< I had a sub-dir here, AND in classic GUI pipelines, this is auto-collapsed and easy to miss!
I got vim like editor behavior in gcp cloud shell editor by installing extension "Vim" by Publisher "vscodevim". All of the vim behavior works like these keystrokes:
For my answer, most of the credit should actually go to @Rion, as his answer inspired me.
I had an issue with using .sharedBackgroundVisibility(.hidden) when actually using navigation, which I described here How to leftalign Text in Toolbar under iOS 26.
However, using .toolbarRole(.editor) in combination with ToolbarItem(placement: .principal) got me exactly the result I needed.
My only issue with @Rion's answer was that I could not customize the actual title; it was fixed to the standard system size. So, the combination above actually gives the proper result (at least on the iPhone).
tl;dr
(Hacky) Solution without any visual artifacts when using back navigation
Docling’s PPTX parser does not support extracting images embedded inside placeholders or grouped shapes directly currently as there's no built in options like pipeline_options.generate_picture_images for PPTX.
This limitation exists due to the fact Docling relies on on parsing the PPTX XML structure, as well as its PPTX pipeline being simpler than its PDF pipeline. Images inside placeholders or grouped shapes are also nested deeper inside complex XML relationships and are not exposed as standalone picture elements.
*Uninstall Hypervisor completely and reboot (important)
*Install HAXM 7.6.5 (not 7.8.0 because android emulator does not support it, and it only tells you this info if running emulator 33.1.2 or older, on newer versions it just tells you that hardware acceleration does not work)
*Start emulator from command propt with this line (correct the path to match yours, also avd name):
"C:\MyCustomLocation\emulator\emulator" -avd Pixel_5
*Might not be possible to start emulator from Narwhal Android Studio with this setup, but it will still recognise the emulator when running and you can install your app and debug your code
Regardless of the mem_limit setting, if you have docker desktop installed, there is a limit in the Settings -> Resources -> Advanced screen which will additionally limit the size of any container:
I opened a PR that's about to be merged and will reduce MAE criterion complexity from O(n^2) to O(n log n). MAE will still be quite slower than MSE: 3-6x times slower, but that's it.
A PR to add the support for pinball loss (~= quantile regression), should follow-up.
Also note that building a decision tree always has a complexity of O(n log n) as it requires sorting target vaules according to feature values (at each depth of the tree).
Unlike Consumption Logic Apps, Standard Logic Apps are App Service–based, so the workflow definitions are stored as JSON files inside the app’s file system.
From Azure Portal
Go to your Logic App Standard resource.
In the Automation blade, you may only see an ARM template for the hosting app, not the workflows.
For workflow definitions (workflow.json), you’ll need to download from Kudu. (I tried Az CLI, but not that supportive for standard )
From Kudu - (In Logic App Std -> Left menu -> Development Tools -> Advanced Tools -> click Go.)
Once Kudu opens:
Click Debug Console → CMD
Navigate to /site/wwwroot/ → you’ll find folders for each workflow.
The service worker dies by design after a period of inactivity. To notify the browser of the chrome API listeners that will wake it up, they must be added at the initial evaluation of the script, not inside asynchronous or dynamic code. For simplicity you can do at the beginning/end of the script in the global scope e.g. omniboxHandler.addListener()
The extension is installed just once, but the script runs each time it wakes up, which is why the listeners must be always registered immediately.
This is 5 years late and I obviously I don't have your data so can't reproduce and test exactly, but having just dealt with a similar problem, I would suggest that you need to add "plot.background = element_blank()" to your theme() layer, rather than "panel.background". I tried "plot.background = element_rect(fill='transparent')" but that didn't work and neither did playing with "panel.border".
thanks for the explanation, it helped me to get the main point .but for who like have less information about Certificates I want to add some points for solving or understanding the problem.
OfflineRevocation says that the production server thinks that the certificate revocation server is offline, for my case it was because the access to the URL required windows authentication and it denied.
to easily check the access URLs in certificate detail tab should be checked. URLs in AIA for example.
- copy it in browser of production server to check if it has access.
- or write this command in command prompt:
certutil -URL http://crl.url.com/certname.crt
if there is no access problem, the cert is downloaded in browser.
Yes I have verified this message does not appear to break functionality. I am moving forward ignoring it at this time and it seems to be causing no issues.
verified the fix by creating a new debug-archive eas build:inspect --platform ios --stage archive --output ./debug-archive --profile development and running npm ci --include=dev, which ran successfully.
Generate a token when the user opens the page in the browser.
Save the game data in Redis using this token as the key, using Put commands.
Set a TTL (Time To Live) for the key, which determines the expiration time. For example, 86400 seconds (24h) or calculating until the end of the current day.
After the TTL expires, the record and token are automatically deleted from Redis, ensuring that the daily game data is only temporarily available.
To implement this, you will need a small structured backend (your choice of framework), so Vue is only responsible for communicating with it without exposing your routes.
You can also use third-party APIs; a good example is Supabase. It’s simpler to set up, but depending on the scale of your game, it may be costly.
SSIS packages being stored as "blob" made them extremely ill suited to version control. Any tiny change (like just adjusting a task on a pipeline) usually made comparison between two versions practically impossible
I agree this is unbelievably annoying and makes collaboration hard. Instead of storing the scripts somewhere else, we actualy just use Matillion. For reviews/collab, we just screen share to show what changes we've made (to get around the blob problem).
Others have mentioned Python and Bash modules to call a Python script stored elsewhere. Another similar option is doing this, but calling/storing it in a Lambda script.
I've managed to figure it out! Here is the explanation for those wondering..
For some reason, registering host ports using ".WithHttpEndpoint" produce this error in latest versions of Docker Desktop. But, if you revert Docker Desktop to several older minor versions, it solves it. (Anything before 4.40. it seems)
On the other hand, it seems that there is indeed a fix also on latest version of Docker Desktop, you have to pass host ports like this:
var mongoDb = builder.AddMongoDB("mongodb", 27017)
.WithExternalHttpEndpoints();
Using float16 and bfloat16 can have different impacts on the prediction accuracy of large language models (LLMs).
Float16, or half-precision floating point, has a smaller range and precision compared to float32, which can lead to issues like underflow and overflow during calculations. It can impact the model's ability to accurately represent specific values, potentially resulting in a decrease in prediction accuracy.
On the other hand, the purpose of designing bfloat16 is to maintain a similar range as float32 while using fewer bits for precision. That allows models to retain more significant information during computations, which can help preserve accuracy in predictions, especially in deep learning tasks.
Long story short, while float16 may lead to reduced accuracy due to its limited range and precision, bfloat16 is often preferred in LLMs for its ability to balance memory efficiency and prediction accuracy.
The thing that jumps out to me is that you are using positional parameters instead of specifying them, and you have -Append first. I've never used Out-File to a UNC path personally. Has this worked in the past and all of the sudden stopped working?
Like what was already said we need to know what kind of object the $test variable holds. Maybe try sending somehting other than an empty row to it or at least put a space between the double quotes.
did you get a way?? I need to call a python file with set of code I have which I need to trigger using MWAA. I used bash command to do that within DAG but somehow getting error in everything I tried
The function recorded_values() require large server limits, and summaries() does not have a filter option. Although AF analysis in the server solves this problem, it requires some manual operations. Another work around or option is to still use summaries and then filter on the machine speed summary for the seven day period. In this case, the typical machine speed is between 110 m/min and 150 m/min. As such, a seven day average of 5 m/min or 10 m/min is unrealistic, and the other tags can be made zero or NaN using pandas in the final dataframe. This achieves the same result.
As an alternative answer, you can also generate a report file in your test stage and COPY that file to the final stage. That way the final stage will depend on your test stage and BuildKit will have to run it.
Can you remove the X-HTTP-Method key and MERGE value from the Headers? This suggests that you want to update an existing item. If I understand correctly you want to create a new list item?
Below is an example of the REST API documentation, if that helps?
In case of an update you would also want to refer to the id of the item in your URI POST https://{site_url}/_api/web/lists/GetByTitle('Test')/items({item_id})
It's a bit late for an answer, but I had this error too. In my case, I made a stupid mistake: I named my module "fiona" and imported "fiona" at the same time. This, of course, leads to a circular import. Rename your module so it doesn't have the same name as an imported module.
This issue may happen because the table rows aren’t fully rendered yet when ngAfterViewInit runs.
A quick test to confirm is wrapping your scroll call in a setTimeout
ngAfterViewInit() {
if (this.initialRowId) {
setTimeout(() => this.scrollToRow(this.initialRowId));
}
}
Many beginners prefer Anaconda Distribution (comes with Jupyter Lab pre-installed and avoids most errors).
Always keep Python and pip updated.
If something breaks, uninstall and reinstall:
pip uninstall jupyterlab
pip install jupyterlab
👉 In simple words:
Fixing Jupyter Lab on Windows 11 is usually about three things — Python setup, pip working, and clean installation. Once those are sorted, Jupyter runs smoothly like a personal coding diary.
Provide stable and good example queries at least 3 of same kind like “Why was this order delayed?” 3 Queries like this variations. Because the Fabric agent takes top 3 example queries which matches the context and then it creates the Query. Also in AI instruction give proper instruction try to use all the characters which are there in Ai Instruction and data base instruction.
Usually, people commit only the files they changed. They do not commit their parent folder or even the root folder (which would require to manually exclude those files they don't want to be included in the commit). That's much easier, but as a result, the parent folder or root folder stays on an old revision (see its properties). Unless there is a change in the folder properties, like adding an ignore directive or a merge info. If this happens, the root folder wants to be committed too, and when this is done (maybe without committing anything else), a check for modification in other working copies lists the root folder as modified (properties only) in the repository - and some other operations, like a merge, require it to be updated to head revision first. (a branch does not require this, but it should be done or else the revision tree shows it as branched from a stone-age revision)
https://support-url-generator.com is a good site for this purpose. I have published two applications so far, and they went through without any problems.
We’re building a Slack community for developers, with coding challenges, tournaments, and access to tools and resources to help you sharpen your skills. It’s free and open — would love to see you there!
For the error that you got, it seems you reload the BigQuery connector twice, as stated here the connectors for Spark BigQuery are pre-installed already in Dataproc 2.1 and later image. It is automatically added when you flag it:
You can try removing those JARs (--jars=gs://BUCKET/jars/spark-3.5-bigquery-0.42.2.jar) that you are loading manually, since the BigQuery connector you need is already defined in your configuration. This should help resolve the error you are encountering. -as my answer also in Google forum
