As of June 2025, the latest gdb version provided by Homebrew is 16.3, running macOS Sonoma 14.7.5. When I try to debug an executable I still see the same behavior (just hangs after the new thread message), and when I kill the process I get the warning:
warning: unhandled dyld version (17)
The source code for 16.3 (solib-darwin.c) still has a max DYLD version of 15.
I have the same problem when importing HuggingFaceEmmbeddings as well as OllamaEmbeddings:
ImportError: cannot import name 'convert_to_openai_image_block' from 'langchain_core.messages' (E:\U-DEVTOOLS\Python-3.11.9\Lib\site-packages\langchain_core\messages\__init__.py)
from langchain_core.messages.content_blocks import (
convert_to_openai_data_block,
convert_to_openai_image_block,
is_data_content_block,
)
I also discovered another Messages.py in \Python-3.11.9\Lib\site-packages\langchain\schema, also defining the same class, but exporting only a part of the methods. This looks like an interface.
When I try to load the OllamaEmbeddings interactively in my notebook, I have the same error. And when I remove the convert_to_openai_image_block function from the import statement:
from langchain_core.messages import AIMessage, BaseMessage, convert_to_messages
print(convert_to_messages)
from langchain_core import messages
print(messages)
<function convert_to_messages at 0x00000169A8185620>
<module 'langchain_core.messages' from 'E:\\U-DEVTOOLS\\Python-3.11.9\\Lib\\site-packages\\langchain_core\\messages\\__init__.py'>
Can someone explain what's going on ?
Reasons:
Blacklisted phrase (1): I have the same problem
RegEx Blacklisted phrase (2.5): Can someone explain what
RegEx Blacklisted phrase (1): I have the same error
That is because vercel issues a certificate for your deployment and you are now running on https and you are probably no longer working on http://localhost:4000 so you needto add to your cors policy
SELECT REGEXP_REPLACE(
LOWER(TRIM('Isabelle Cándido de Paula')), '(\b\w)(\w''*)', x -> upper(x[1]) || lower(x[2]))
Results in:
Isabelle cándido De Paula
Must be:
Isabelle Cándido De Paula
I just published a Swift package for developers who need to create CMS (Cryptographic Message Syntax) signatures in iOS/macOS apps using OpenSSL under the hood.
CMS signing is widely used in secure email (S/MIME), digital document signing (PDF), and many enterprise-level protocols — and yet it’s rarely supported out of the box in Swift.
With SwiftCMSSigner, you can now generate detached, base64-encoded CMS signatures using a simple, modular Swift API. No external tools. No hacks. Just clean integration via Swift Package Manager.
You're halfway there! If your websites are accessible by direct URL but not appearing in Google search results, it’s most likely a search engine indexing issue.
function useNestedFieldError(error: FieldError | undefined, fieldName: string) {
if (!error) return undefined;
if (error.type === "required") return error;
return (error as any)[fieldName] as FieldError | undefined;
}
// Usage in component:
const xError = useNestedFieldError(fieldState.error, "x");
The cleanest solution would be to properly type your form errors from the beginning. When setting up your form, you can provide a generic type that includes the nested structure:
type FormValues = {
vector: Vector3D;
};
const { formState: { errors } } = useForm<FormValues>();
// Now errors.vector will be properly typed as Vector3DError
This way, TypeScript will understand the nested error structure throughout your application.
I also encountered the issue. However, after checking if the location is enabled as Crispert suggested, I moved my startScan method from onCreate to onResume. This modification resolved the problem for me.
You should go to the root project :
in Terminal type :
cd [project paht]
For get full path you can copy path from folder in your finder ( in mac , go to the project and right cleck in your folder and push option button) and copy full path
cd /Users/..name../Desktop/FlutterExamples/name_of_project
finally got it working. the config looks like below:
from langroid.language_models import OpenAIGPTConfig
ollama_config = OpenAIGPTConfig(
chat_model="ollama/mixtral",
chat_context_length=16_000,
api_base="http://<your.ip>/v1" #the /v1 was necessary for my ollama llm
)
I'm about 12 years late on this, but I just bumped into this searching for something else, and I believe I've just seen code that does exactly what you want as part of the open source project Schism Tracker:
I had this kind of trouble with a /tmp/xxxx.cmd file. From cygwin point of view, it had x-permission, from windows point of view (ls -ls 'C:\ProgramData\cygwin64\tmp\xxxx.cmd') it had not. In https://unix.stackexchange.com/questions/549908/chmod-not-working-in-mingw64-but-working-cygwin I found that if the file contents starts with ':\n' then cygwin recognizes it as an executable thingy, and it will display the x bit.
The NCCL backend fails using under Docker + WSL2 (unstable multi-GPU communication) possibly due to the incompatibility of the NCCL, Docker and WSL2 versions that are not compatible. Also, NCCL works best with Native Linux.
The other alternative is to increase the GPU size in the system that can accommodate the model requirement.
Not a complete answer but work along these lines is happening in the Swift Collections project, which has a TreeDictionary (like Clojure's persistent Map). Apparently, no Vector yet. There's also a link to a forum with more information.
25G for any file that needs to be called into a program is too much. That file needs to be optimized whether is with different versions of the data, such as a text files with the information, a svg, png, bitmaps with the xml description, different layers of the highways, etc.
The large image could be split into smaller sections capable of taking a single screen of made to form panoramas. I don't know; there are many ways to optimize files by changing formats, organizing small chunks and calling them through a smaller java-script program or library.
I keep getting this message from Alexa - "I'm not quite sure what went wrong". Alexa does not accept verbal commands BUT I can set alarms and they work. How do I fix this. I'm 85 and know very little abt Alexa.
The main issue is that in addition to setting the grid inside the scroll view to self.minimum_height I had to explicitly the height of its children. Be great if I could do this based on the individual items but work on that another day. Not a perfect solution but workable for now.
From your question, I am not sure where your files are saved. In ADF if you want to pick up files after the last execution time, you can use Filter by last modified option in copy activity. You can pass the dynamic content to Start time (UTC) and End time (UTC) from your log table.
Have you reached out to the Google Cloud sales team to request access to the allow list? The 404 error for voices:generateVoiceCloningKey indicates that your project is not currently on the allow list for the restricted Instant Custom Voice feature. This feature is access-controlled due to safety considerations. Your logs support this, as other Text-to-Speech functions work.
Yeah e.g. if you get 2 messages in quick succession they could get processed in parallel, or even out of order if the first message has to wait for a fresh execution environment to start up but the second message has a warm instance available to handle it. Setting concurrency to 1 should prevent this if you really want one-at-a-time processing.
After quite some testing I finally figured out that I can use an <If> directive and the REQUEST_FILENAME variable to achieve an explicit whitelist based on absolute file paths, i.e.
<Directory "/var/www/html/*">
Require all denied
<FilesMatch "\.(html?|php|xml)">
<If "%{REQUEST_FILENAME} =~ m#/var/www/html/(index\.html|data\.php|content\.xml)#">
Require all granted
</If>
<FilesMatch>
</Directory>
Have you contacted the [Google Cloud sales team](https://cloud.google.com/contact) to request access to the allow list? 404 error for voices:generateVoiceCloningKey means your project isn't on the allow list for the restricted Instant Custom Voice feature.
Due to safety considerations, access to this feature is limited. Your logs support this, as other Text-to-Speech functions work.
Have you [contacted the Google Cloud sales team to request access](https://cloud.google.com/contact) to the allow list? 404 error for voices:generateVoiceCloningKey means your project isn't on the allow list for the restricted Instant Custom Voice feature. [Due to safety considerations](https://cloud.google.com/text-to-speech/docs/chirp3-instant-custom-voice#:~:text=Due%20to%20safety%20considerations%2C%20access%20to%20this%20voice%20cloning%20capability%20is%20restricted%20to%20allow%2Dlisted%20users.%20To%20access%20this%20feature%2C%20contact%20a%20member%20of%20the%20sales%20team%20to%20be%20added%20to%20the%20allow%20list.) , access to this feature is limited. Your logs support this, as other Text-to-Speech functions work.
I wonder if you found solution to this ? I have fulfilment service running for over a year now but have an automation to update the order on Shopify with tracking information once a day( solution works, but if I can have Shopify triggering that even better) .
Shopify says that it will call this endpoint every hour, but it is not registered in my logs at all, tracking is set to true and orders accepted over an hour ago.
This behaviour can be expected because by using a kd-tree you do not take into account the mesh connectivity (edges between two vertices). It only considers the distance between points/vertices. So points/vertices that are "close" are merged, regardless if they are connected by an edge in your mesh.
Instead you should use a proper mesh decimation algorithm such as the quadric edge collapse algorithm. There is a version in PyMeshLab able to preserve textures, which might do the trick for you.
replacing your video with a Youtube video. If it works, then the issue is with the video, not with your code.
hosting the video in a hosting platform (Vimeo, Wistia). If it works, then the issue is with your local hosting, not the video. If it does not, this is likely an encoding problem.
There are multiple font families being loaded on your site, which can definitely lead to conflicts. On your provided page, I've observed the following font families attempting to load or being applied:
Karla, sans-serif
'Times New Roman'
Arial
Montserrat, sans-serif
Bebas Neue, sans-serif
And other system fallbacks from the root directory such as Helvetica Neue, Cantarell, Roboto, Oxygen-Sans, Segoe UI, etc.
The presence of so many different font declarations increases the likelihood of one overriding another, especially if they have higher specificity or are loaded later in the cascade.
Incomplete Font File Formats:
When you upload a custom font, it's essential to provide various formats (e.g., .woff, .woff2, .ttf, .eot, .svg) for cross-browser compatibility. If the browser encounters a font format it doesn't support, or if a specific format is corrupted or missing, it will silently fall back to the next font in the font-family declaration. A .ttf file alone might not be sufficient for all browsers or scenarios.
Possible Solutions and Next Steps:
Centralize Font Management with Elementor's Custom Fonts Feature:
Upload all necessary font file formats (.woff, .woff2, .ttf at minimum) for Bebas Neue directly through this interface. Elementor will then generate the @font-face rules and handle their enqueueing and application.
Once uploaded, select "Bebas Neue" as the default font or apply it to specific elements/sections within the Elementor editor for that page. This is Elementor's intended way to manage custom fonts and often resolves specificity conflicts.
Inspect the Rendered CSS in Detail:
Use your browser's developer tools to meticulously examine the font-family declaration on the elements where Bebas Neue should be applied.
Look for the "Computed" tab in the inspector. This will show you the actual font being rendered, not just the declared font-family. If it says "Poppins" in the "Computed" tab, it confirms the fallback.
Also, in the "Styles" tab, carefully trace the CSS rules to see which font-family declaration is ultimately winning and why (e.g., a theme rule, another plugin, or a more specific Elementor style).
Temporarily Isolate the Problem (Troubleshooting Strategy):
Disable all plugins except Elementor and Elementor Pro (if applicable). Clear caches. If Bebas Neue loads, re-enable plugins one by one to find the culprit.
Switch to a default WordPress theme (e.g., Twenty Twenty-Four). If Bebas Neue loads, your current theme is likely interfering. You can then investigate your theme's style.css more aggressively or consult the theme developer.
CDN Issues (Less Likely, but Possible):
If you're using a CDN, ensure it's correctly configured to serve your font files. Sometimes CDN caching or misconfigurations can cause problems.
I don't know if it's not worthy to just implement authentication and registration endpoints between vue rust and mysql
It'll be quicker - and I'd bet more secure - to use Cognito (or another IdP) than implementing authentication and registration yourself.
Is there a simpler approach using just cognito SDK and vue to get a token and then just validate it in the backend to allow to use the private endpoints?
I would recommend using OIDC rather than the Cognito SDK, unless you have a particular reason for using the SDK. There's wider library support for OIDC, it's pretty straightforward, and you're not tied to Cognito - you can swap it out for any OIDC IdP. At the end of the OIDC flow you get an ID token and an access token and you can validate and use these to authenticate and authorize users in your app.
im having the same issue, i can fix it by adding keep alive at the root level in app.vue but cant get it working inside the exact way i want as i have to render something dynamically
Do you mind posting the MainActivity and Crash Activity code too or alternatively share the git repo for your working project. I am trying to debug a similar issue where things were working prior to Android 10.
Ok, I tracked it down. I am wrapping a large C library with C++. I debugged it all the way through and it turns out that a c function that I call in the in a constructor of the base class is triggering a callback that does the dynamic_cast. I know that in the constructor you don't get polymorphic behaviour on virtual function calls. I guess that also means that type info is not yet available on the "this" pointer.
These events only represent ARM level operations and do not capture inside cluster activities like kubectl apply delete or direct pod/service/deployment changes because such operations are handled by the K8s API server itself not by Azure control plane.
Microsoft.ContainerService/managedClusters/diagnosticLogs/Read this indicates that someone viewed or chaked the diagnostic settings of the AKD cluster in azure, but this is not related to K8s level activity like actual resource modification inside the cluster.
You capture manual changes inside the aks cluster like what you do using kubectl enable K8s Audit logs via diagnostic settings > aks cluster > diagnostic settings > send the following to a log analytics workspace kube-apiserver logs, once enabled query the kubeaudit table in log analytics.
Sample KQL:
KubeAudit
| where verb in ("create", "update", "delete")
| project TimeGenerated, user, verb, objectRef_resource, objectRef_name, objectRef_namespace
| sort by TimeGenerated desc
This will give you time generated like when the action occurred and who performed the action and action type like create update or delete. also, you can find what resources was touched and name and namespace of the object.
NOTE: activity logs Connot see kubectl or in cluster operations only kubeaudit logs will show actual K8s operations like pod creation deletion or config updates, make sure the correct diagnostic settings are enabled otherwise the kubeaudit table won't have the data you expect.
If your goal is to detect manual or automated changes inside the aks cluster via kubectl or API, you must use KubeAudit logs via Log Analytics, not Activity Logs.
Ok so the mistake was completely on me. In my program I am receiving the JSON from a POST Request to an API, the problem was that 'cardLimits' part was inside of the 'spendingLimits', not on it's own. I just didn't see that it was there...
So it's my mistake and this whole post was completely unnecessary, but it made me look closely on my program.
Generic-based approach is more preferable because it will do type-checking of what is really returned in the callback, and it will warn if type mismatches
For what I understand, this would fall under the category of partial shape retrieval/matching problems.
A classification was proposed already some time ago in Tangelder, J. W., & Veltkamp, R. C. (2004). A survey of content based 3D shape retrieval methods. Proceedings Shape Modeling Applications, 2004., 145-156. Basically the resolution methods can fall into a few distinct categories such as: feature based, graph based and geometry based. Only local features and graphs are adapted to partial matching according to this article.
For potential experimentations using Python:
Local features can be computed using for example PyMeshLab (it can compute different geometric information like curvature, geodesic distance, or local vertex density) and then somehow compared with existing meshes. This comparison step is the hard part in my opinion and I don't think there is a good answer.
Meshes are already graphs (vertices connected by edges, forming faces) so you could indeed compare graphs, using for example the VF2 algorithm of the NetworkX library. However, note that the "subgraph isomorphism problem is NP-complete" as said in the doc so concretely it doesn't scale well. You could also try to segment your mesh into patches (planar, cylindrical, etc.) and make a graph out of it, but same limitation.
You could also use a matching/registration algorithm such as the ICP provided for example by Open3D. This is however very sensitive to the initial alignment/position of the meshes.
Another solution would be to use deep learning and segmentation. If you have a list of examples that is big enough (and a lot of time to correctly label your data), you could try sampling your mesh and using the PointNet model using for example Keras. This would result in a list of labels associated your points that are themselves associated to a particular class like "pin" or "hole".
But unfortunately for you, I don't think this is a "pretty standard task" :(
In today’s rapidly evolving digital landscape, financial professionals need more than just accounting knowledge — they require cutting-edge tools and platforms to streamline operations and stay competitive. Oracle Fusion Financials has emerged as a game-changer in enterprise financial management, and the demand for skilled professionals in this domain is at an all-time high. That’s where Tech Leads IT, a premier Oracle Fusion Financials Training Institute, steps in.https://www.techleadsit.com/oracle/oracle-fusion/oracle-fusion-financials-training/oracle-fusion-financials-course
I am trying to accomplish the same thing with airflow 3 and Microsoft entra using FAB.
As mentioned by Paulo, there is no webserver_config.py in the latest release. Should it be manually added in this case, according the default template?
Check with a different network connection [Different WiFi network or a LAN connection] and try again. Also, disable VPN if you have connected any.
Clear your temp folder and try again.
Restart the Network related services.
- Open Services (Press Windows key + R then type in services.msc then click OK)
-Look for WLAN Autoconfig and WWAN Autoconfig> Right-Click Properties and set it to automatic (If it's already set to automatic, right-click then click stop then start it again)
-Restart PC and check
Even if the issue still persists, try downloading offline installer.
Visual Studio - Error: Unable to download installation files
You can try these steps:
First, make sure that you use administrator account to log on to the PC and your Internet can access any websites.
delete the Installer folder under C:\Program Files (x86)\Microsoft Visual Studio\
Right-click on the vs_xxxxx_xxxx.exe(installer program)-->Properties-->Digital Signatures-->you can see "signature list"-->Select signature and then Click on Details button-->Click on View certificate button--> Click on Install certificate and follows installation wizard.
Fire up Run, type gpedit.msc
Brows to the following location: Computer Configuration-->Administrative Templates-->System-->Internet Communication Management-->Internet Communication settings then find the entry Turn off Automatic Root Certificates Update and open her up and set it to Disabled.
Get Windows to check for updates and if so, update it.
Then run the installer as administrator to install it.
In addition, if you create an offline installation, please use like this:(remember to add --lang en-us)
Besides, when you finish it, please install the three certificates as administrator which are in the certificates folder of the offline package and after that, install the installer.
Also, make sure that these certificates are in the trusted folder.
As far as I know, there is NO guarantee of ordering of events when they run at the same time. There is no guarantee on the documentation, at least. So in this case you cannot guarantee that whatever you are trying to do will work - or if you get it working, you have no guarantee that it will work on the next version of AnyLogic.
Your description seems to be a bit convoluted; it would be more useful if we could understand a bit more what and why you are trying to do. Events on the same time should in theory be indepedent. There is probably a way of modeling that will achieve the desired behavior without requiring this kind of hackish way, but we do not have enough information to see if there would be another way to model this.
We need to check whichever package is missing and install them manually.
Just go to the npm page of that package,
Copy the install command.
In your cmd paste that command@<your angular version>
It should match your angular version. If it is higher or lower than your own angular version, it would most probably throw a different kind of compilation error.
Add --legacy-peer-deps for any lower release dependency issues.
I am using MySQL and Google Cloud to create datastream to migrate data form cloud sql read replica to Google bigquery but getting error as showed in image
To solve this issue you need to run command in cloud shell
I have used the maps3DElement extensively few months back for a demo. You cannot hide the banner alert since it is under development still. If you check your console, a warning message will come over there also. What I used to do is that bit funny. Load the application, close the banner and minimize it. During the demo, I used to alt-tab and show the features :-) We will have to live with this till Google release a fully production version
According to your requirements,to split each dataset row into two in Spark,flatMap transforms one row into two in a single pass, much faster than merging later. Just load your data, apply a simple function to split rows, and flatMap handles the rest. Then, convert the result back to a DataFrame for further use.
One needs to set the randomization seed for the study object (trial) to make sure the random sequence of hyperparameters are repeatable. The "random_state" in Random Forest controls the procedures for Random Forest but not the imputed hyperparameters.
You should use QT_VIRTUALKEYBOARD_SCALE_FACTOR instead of QT_VIRTUALKEYBOARD_HEIGHT_SCALE. Because QT_VIRTUALKEYBOARD_HEIGHT_SCALE has been removed since version 6.2
Recently I required to migrate Office 365 one tenant to another tenant and I take the help of MailsDaddy solution to done this task. The MailsDaddy offer the impressive service to me. Thank You!
Note: May be you encountered an error for each dependency, prompting you to enable the .zip extension in the php.ini file. Once You enabled it, everything worked perfectly fine.
The Row and Column Level Security and Table ACLs defined in Databricks Unity Catalog do not carry over when exporting data to Azure SQL Database, regardless of whether the export is done via JDBC, pipelines, or notebooks.
The reason behind this is Unity Catalog’s security model is enforced only at query time within Databricks. The access rules are not stored as metadata within the data itself, so once the data is exported, it becomes plain data in Azure SQL DB, with no security context.
To maintain similar security in Azure SQL Database, you need to define access controls again, using native Azure SQL DB features.
Below I've shown an example how I manually added RLS in SQL database:
Firstly, I created RLS predicate function to ensure users only see rows matching their region:
Then, created the Security Policy:
Lastly, Simulated access for a specific region:
This ensures users only see the rows for their assigned region.
