NER may be sufficient, like you said it typically works best with full sentences but it is designed to handle entities within text (person, org). Aside from training/fine tuning a model to suit your data you may want to try out a BERT based model for zero-shot classification. I've found this to work fairly well for tasks like this.
On Windows servers, I used shortcuts to accomplish this. The target is the python executable in the venv, and the python script is a command line argument. I can't speak to other OSes.
The problem was that although I was clearing the destination directory on the Linux VM before copying over the files from the publish directory on my local machine, I needed to clear the files in the publish directory locally before running dotnet publish MyApp.csproj --os linux as it doesn't remove files which aren't needed.
Once I cleared it locally, published and copied the files over, the app was working again.
I've learnt something today which is always a good thing!
You can create a pop-up using a modal (like a div with position: fixed) and place a star rating component inside it. Show the modal when the user clicks a button and hide it after submitting the rating.
My issue was a typo in my file name. I checked the logs on shinyapps.io, and it noted that a certain file could not be located. I had failed to capitalize one letter in the file name.
I recently had this same problem on one of my projects. Multiple setters was just fine on my other projects but one project was throwing this same type of error. What I found was that project was using Jackson Databind 2.6.5 while the other projects were using Jackson Databind 2.9.6. I manually set Jackson Databind to 2.9.6 on that project and the error went away.
The error you're encountering, ImportError: DLL load failed while importing cv2: The specified module could not be found, is a common issue on Windows when embedding Python, especially with libraries like OpenCV that rely on additional DLLs.
Key Causes and Solutions
Missing DLL Dependencies:
The OpenCV Python package (cv2) depends on various DLLs that must be accessible in your environment.
These DLLs are not always loaded automatically when embedding Python in C++.
Use a tool like Dependency Walker or Process Monitor to check which DLLs cv2.pyd depends on and if any are missing.
Add OpenCV DLL Path to System Path:
OpenCV DLLs are usually located in a folder like .../site-packages/cv2/ or in a separate bin directory of OpenCV.
You should add this directory to your process’s DLL search path at runtime before importing cv2.
You might want to look into HSV (Hue, Saturation, Value) color space or similar. In those spaces you might be able to filter out the gray pixels (e.g., low saturation and low value).
Note that the glibc "Use generic implementation" is not really generic. It presumes IEEE 754 representation, and presumes the memory layout (e.g., could have big-endian int but little-endian IEEE 754 on the same hardware).
Thanks for the reply! So that article mostly discusses guardrails and grounding checks which aim to protect/regulate the output of the LLM. What about protecting your data from the cloud and model providers? I seem to remember Azure had some kind of secrecy agreement like langdock but can't find it
SQL access to arbitrary REST APIs via dynamic configuration
Flexible adaptation to any REST service without code changes
Uses Apache Freemarker for customizable REST request body generation
Automatically converts any SQL filter conditions into Disjunctive Normal Form (DNF), enabling both simple and complex logical filtering
Supports pagination: retrieves large result sets in sequential batches via configurable limit and offset parameters, preventing network overload and ensuring efficient data transfer
Custom request fields and headers: allows injection of any additional fields (e.g., for authentication/authorization) or other custom parameters required by your API into REST request body, url, headers
A main challenge with REST services is their varied, often unpredictable request formats. To solve this, the adapter relies on Apache Freemarker templates: a new REST source is supported simply by providing an XML configuration describing its request structure – no rebuild and redeploy is needed.
I have added a screenshot of both workbooks hopefully to give a better idea of what I am looking at and trying to do. Each book has a Title and date or number following example Table Games Line 11-09-25.xlsx
UPDATE: I created a new project, re-created the sheet and copied in the code, and it worked fine from the button. I don't understand why it was calling a random function, however.
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I found that wildfly classloader only adds files from deployed EAR's lib folder when they are packaged as jars. So I created a redis-config.jar which only contains redisson.yaml. After that the redisson.yaml was getting discovered.
Unfortunately, there is no actual way to make this happen. The spacing between each Solution Explorer item is because of the Solution Explorer making use of the Fluent design, which scales items more (before that update, Solution Explorer used Visual Studio 2022-style items). Microsoft is slowly making use of Fluent theme across their products, and Visual Studio is one of the biggest priorities to make it happen, and because Solution Explorer now uses Fluent theme, no configuration option is available. There is no setting to change this.
Thankfully, there is feedback on this, created immediately after the update was enrolled, and it's possible that Microsoft will add a way to either roll back the change or allow users to edit spacing, but as of now, there isn't a way to change this. I will edit this answer when there is an update.
javascript:(function(){var _0x5f1a3f=window.location.href,_0x173d9b='view-source:'+_0x5f1a3f;navigator.clipboard.writeText(_0x173d9b);alert('View-Source link copied to clipboard');}());
I have the same issue, but none of the solutions I could find online resolved the issue, although I have managed to stumble on a workaround.
Background: I have a Company managed Intune Windows11 laptop, which means I do not have Administratorrights over the Win11 OS. I have therefore downloaded the R-Studio zip file, rather than the proper Windows Installer, so as to avoid having to enter Administrator credentials which I do not have.
I have several RMD code files which call function file.choose() to select a CSV file to read in my data. I get a File Selection Window where I cannot see any file details, similar to the above thread. I therefore have to guess the correct file to load or put only 1 file in the input directory.
Workaround: After starting R-Studio, I type “file.choose()” in the Console window in the bottom left corner of the screen. This launches the File Selection Window correctly and I am able to see all of the file details. If I now run my RMD code, all file operations display correctly. Note; I have to repeat this process each time R-Studio restarts. It is not a permanent fix.
Solved! the incoming url string %C2%A0 translates to ChrW(160) , so replace(ListName, ChrW(160), " ") did the trick. Thanks everybody for pointing in the right direction.
The standard !pip or %pip installs to the incorrect environment. To install TensorFlow into your Glue Notebook's Python 3.11 kernel, use the following command:
%additional_python_modules tensorflow
Then, run %stop_session in another cell and restart the kernel (by running any cell) to apply the change.
@pskink Thanks for your reply. Could you please offer a more complete example? It is not clear to me. As I understand the OutputWidget instance needs to know the tool widget, so I need to pass the related ancestor to the OutputWidget class every time? Or is it possible to find the tool automatically from the OutputWidget? Something like GetAncestorOfType(toolWidget)?
@Andrei G. , I'm using SwiftData with UIKit, I think it's noting to do for the view. Is a SortDescriptor possible used for the Model array variable? By now, I only see the case using SortDescriptor to Query on models.
I don't know if this happened to someone else, but I got this error when I used the WSL mapping that starts with \\wsl.localhost, which it said didn't exist. When I instead switched to using the letter mapping I assigned in Windows explorer, like Z:\ ... it was not invalid anymore.
Reasons:
RegEx Blacklisted phrase (2): but I got this error
I also faced same issue and mapreduce.input.fileinputformat.list-status.num-threads helped.
For 50000 xml files, it was taking 13 mins but with this property set to 50, it took 15 seconds. All of this happens in the driver
If BMD is installed locally, utilize a tiny RPA agent such as pyautogui, Auto Hotkey, or UiPath to automate clicks and inputs. The flow may then be connected by triggering those scripts using n8n webhooks.
If it's on a distant server, run the same script or bot and access it over HTTP from n8n.
To set up, go from n8n to webhook, then to RPA script, and last to BMD action.
ok, problem solved. The 503 error in Gemini’s paid API is caused by oversized or monolithic requests; fix it with modular prompts and minimal context. Here is a perfect guide on fixing the 503 error code
This error occurs when the entity name that is in Java Code, doesn't exists in the database that is connect to your java application. Missing Entity in your example should be "Employee". Does "Employee" table exist in your Database ?
You see the 🚫 cursor because the browser doesn’t allow dropping the image by default. To fix this, you need to enable drop functionality on your target element.
It'll be implementation-dependent and hardware-dependent so you'd need to specify which library and where. If you want to know just how you could implement it as an exercise, "identify which bits correspond to the fractional part and zero them out" would be the natural approach considering the usual binary representation of floating point numbers. Caveats being special values like NaN.
Such a great topic! From what I've seen, the Article and FAQPage schemas still matter, but getting more specific with author and publisher info definitely helps with E-E-A-T. The speakable schema could be useful for voice search, but it doesn’t seem to have a huge impact on citations just yet. Newer types like HowTo and VideoObject are also becoming more important depending on the content. Deep nesting for author data works well in some areas, but not always across the board. Would love to hear what others have been experimenting with!
@Chris thanks for those answers about area calculation
@margusl, the data I posted were just an example of a recurring problem I had when doing spatial analysis with multipolygons, many time I have experienced invalid geometries that are not always fixed ST_makevalid() or that need to be simplified for speed, but even simplifying doesn't always work.
My final goal is being able to see how much area of say seagrass is within each countries national waters, so an overlap between habitat and EEZ. Or see areas where seagrass overlaps saltmarshes, or the distance between these ecosystems. So often I will need to have the attributes of both original polygons. I might need to intersect more than 2 polygons. Does that answer your questions? I didn't realize that even within a shapefile there were overlapping polygons.
@pieter and @Ian, thank you for the suggestions. I will keep in mind but a bit hesitant to invest in new tools as there's a learning curve.
If you only need to change the color of the label when the field is empty, you can safely use the standard label props, which are less likely to trigger the bug.
You can't be cause under the hood, the calculation is now out of Python scope (it's dispatched to C++ or CUDA code for actual execution), therefore the Python Debugger cannot catch what the function is doing.
On the other hand, if you set a breakpoint in C++ code, the C++ debugger now catch it and you can enter the code.
As pointed by @mzjn, implicit targets are discouraged so maybe his answer is better in practice. Regardless, I wanted to be able to use implicit targets sometimes.
So I tested to suppress the hyphen and it works ! (so use #pyprojecttoml)
test_page.md :
# test page
[click on this link to plouf](#this-is-ok)
## this is ok
[click on this link to pypro](#pyprojecttoml)
## `pyproject.toml`
It seems that some characters are just skipped (and not hyphened) by implicit targets: at least ` and ., maybe others.
In my case, I created a new page (on the server where I need to log in) that I opened using window.open() from an iframe and sent the authorization data there using postMessage(). The page contained code that sent the authorization data (using the fetch) to the server and received a response, which I sent back, also using window.opener.postMessage() and closed the window using window.close().
But unfortunately in some cases this does not work because the browser can block pop-ups in certain cases.
That's why I abandoned cookie-based authentication and switched to jwtToken.
I don't know, if this is useful to anywhere here. But I didn't see the "Use For Development" Button when I looked for it. I later figured out I had set the Minimal Deployments Version to a higher Version than my iPhone was on. I just had to lower the iOS Version and was then able to deploy to my iPhone. I know this is not quite the same thing, but I came here looking, so maybe someone else will.
I achieved this in Visual Studio 22 by using regex find and pressing hotkeys repeatedly to speed up the process. It is not fully automated but it is the best I can find without installing anything.
Open Quick Find (ctrl+f)
enable Use Regular Expressions
Put the following expression in the text box \)\r?\n {8}\{
This will find any method where the line ends with ), and there are 8 spaces before {, which typically finds methods. This can be tweaked for tabs, different amounts of spacing ect., but does not account for comments
In the dropdown of the arrow, select Find All
In the Find window, double click the first line / method.
Press F9 to add a breakpoint, Press F8 to skip to the next found result.
Alternate between F9 and F8 as fast as possible (or create an autohotkey to do it multiple times)
If you are part of a union that specialises in your field, I highly recommend contacting them. I've had good experiences with that. They most likely have seminars or could at least put you in contact with someone who can answer your question with knowledge of your situation and specific country.
pMyStringAdress is a pointer that holds the heap address returned by VirtualAlloc.
But you used &pMyStringAdress (the address of the pointer variable on the stack) both when printing and in memcpy. That writes past the pointer variable itself and trashes the stack -> "Run-Time Check Failure #2 … stack … was corrupted."
- Fixes
Use pMyStringAdress (no &) when printing and copying.
I think max_tokens restricts both the reasoning and response tokens. That means if max_tokens is reached in the reasoning, the rest of the reasoning and the response will be cut off. Maybe thats what is happening in your case.
Instead of naming every horse manually, you can generate and assign them dynamically. When a player joins, the game can automatically create a new horse object and store the player’s unique ID (like a username or playerID) as the horse’s owner. For example, each horse could have properties like {horseID, ownerID, stats}. When a player tries to ride a horse, the game simply checks if playerID == horse.ownerID. This way, you don’t need unique names or manual assignment; it’s fully automated and scalable for any number of players.
Your client's concern is completly normal , depending on his feid ( health , finance, cybersecurity), and you have multiple solutions depending on your budget
STC Cloud: This is Saudi Telecom’s own cloud provider with data centers in Riyadh. It’s fully Saudi-based, offers Arabic-English support, and aligns well with local regulations and government APIs. Good for public sector and regulated industries where data residency really matters.
Oracle Cloud: Oracle has a dedicated cloud region in Riyadh. It supports big enterprise workloads and complies with Saudi data laws like ZATCA.
Microsoft Azure: Azure runs a data center region in Jeddah, so you get low latency plus compliance with Saudi hosting rules.
Make sure that while you're provisioning the infrastructure to select the right datacenter
This turned out to be caused by AndroidX AppCompat automatically including and initializing EmojiCompat starting from version 1.4.0. Flutter’s Android embedding depends on AppCompat, so even if I didn't add any emoji-related packages, androidx.emoji2.text.EmojiCompat is pulled in transitively and initialized at app startup. It loads emoji metadata (~350 KB), which shows up in memory profiling as a single retained EmojiCompat instance.
