i have this problem, and i'm not found any solution for this issue. I've reinstalled it many times, changed the settings many times, nothing works, only a white screen appears.
So I temporarily solved this issue by using the ✅ Neo4J browser repository on GitHub. I can connect to my Neo4J server with this repository. It works the same as the default Neo4J browser. If anyone else has this issue, they can use this method.
Not sure why it needs to be Array.includes. If the goal here is to simply check if a variable is in an array without the type errors, why not use a for loop?
function isFruit(thing: Food) {
for (const fruit of fruits) {
if (fruit === thing) return true
}
return false
}
This error usually happens when there's a naming conflict or you're in a directory that has numpy-related files. A few things to check:
1. Make sure you don't have a file named `numpy.py` or `pandas.py` in your current directory
2. Try running `python -c "import sys; print(sys.path)"` to see if your current directory is interfering
3. Since you're on Raspberry Pi 3B+, numpy 1.26.2 might be too new - try downgrading: `pip install numpy==1.21.6` (last version with ARM wheels for older Pi models)
4. Clear any Python cache: `find . -name "*.pyc" -delete` and `find . -name "_pycache_" -delete` The ARM architecture issue is common on older Pis.
Please use Iceberg's SparkSessionCatalog for accessing non-iceberg tables. I see that you are using AWS Glue catalog which goes well with SparkSessionCatalog.
org.apache.iceberg.spark.SparkSessionCatalog adds support for Iceberg tables to Spark's built-in catalog, and delegates to the built-in catalog for non-Iceberg tables
You can try voice_code, 'pip3 install voice_code' to install and use 'voice_code' in terminal to open it. It use mouse to pick up text and unique and easily voice input method.
Can we know what happen inside do_shortcode('[userip_location type="countrycode"]')? I think the return value is not as expected and cause comparison conflict.
Maybe try return the the string "NZ" only inside the function and see if it have the same result.
Add to your gradle.properties file:
android.useAndroidX=true
android.enableJetifier=true
useAndroidX=true may already be there. In my case i just needed to add enableJetifier=true
@Bean
public ChatClient chatClient(ChatClient.Builder builder,ToolCallbackProvider tools) {
return builder.defaultSystem(SYSTEM_PROMPT)
.defaultTools(tools)
.build();
}
You can set a breakpoint here,evaluate tools.getToolCallbacks(). then you can see all of the mcp toolenter image description heres from your server
Reasons:
Blacklisted phrase (1): enter image description here
You can try ascii code, make an array that stores the ascii of each of the characters, find the max of those ascii codes (by looping through and maxing them out) and convert from the int to the char to print.
I had the same error coming, it ended up being because of Erroneous Indentation.
I was converting the list to an array and then trying to append to the array, thus it showed the error.
I had to just remove those two statements from an outer 'for' loop, and indent them properly outside the loop.
git filter-branch is a very powerfull command that leads to a lot of pitfalls if is not used correctly. One of those pitfalls is that it you can easily rewrite your git history, as in your case.
Can you recreate the original git history?
No, unless you have a backup. This is because when you run git filter-branch it literally creates new commits with new hashes.
What you can maybe do to recover your original history is:
Use git reflog to find an old commit before the rewrite and then reset with git reset --hard <commit>.
Check for backup refs: git log refs/original/refs/heas/main.
Some of these questions aren't relevant - [Ticker symbol] is a native excel feature to reference a stock ticker from cell text. Can be ignored - doesn't matter to the result I'm looking for.
The below formula works, but it would be more clean (and easier to maintain) if I could remove the reference to each of the OR filter (Market buy, Limit buy, Recurring buy, Fractional buy) and instead cycle through the "buyTypes" variable. The formula within the existing REDUCE would have to change slightly to SUM the result after applying the buyTypes array within the filter function, but it should have the same results. Data within the cells and tables doesn't matter at all.
This is a working formula and the contents of the OR string in the FILTER parameters (the parts joined with + symbols) are what I want to replace:
Adding the below line in your themes.xml, will do the job:
<style name="Theme.YourAppTheme" parent="Theme.AppCompat.Light.NoActionBar"> <!-- change the color code as per your need --> <item name="colorPrimaryDark">#000</item> <!-- rest of your style statements --> </style>
Another solution that we recently built is called EmbedLite.com. It's a drop-in replacement where you swap the youtube.com domain in your iframe with embedlite.com. That's all the requirements.
It seems like the validation data might be getting included in the training process in your PyTorch model. That could explain why it's reaching such high accuracy so quickly. I recommend adding some console print statements to better track which data is being used at each step. Best regards!
The only way I found is to use a macro with variadic arguments to prepend std::pair in each argument. Thanks to the recursive FOR_EACH macro, you can do something like:
I have since realized that I needed to go into the textbox properties and change the paragraph settings removing extra space from before or after a line. Some fonts also have built in white space above or below the glyphs that preclude them being set very close together.
I got it working. I decided to just disable SSL for the MySQL connection. Not going to lie, didn't know how to do that myself so I asked AI. It gave me a code that disables SSL in the MySQL connection string. It also switched to MySql Connector from MySql.Data since it is better. When running the docker container it suggested using "--add-host=host.docker.internal:host-gateway" and using "host.docker.internal" DNS as the address in the connection string.
Surprisingly it worked really well and also cleared up some confusion I had about how Docker, Linux VMs and MySQL servers work. The error wasn't really solved but this workaround is easy to do and it works in my specific case since my Unity server and MySQL server are on the same VM. I have finally everything set up to start working on the actual game :)
As Ivan pointed out (way back in 2018, while I faced this issue in July 27, 2025, :) ), i changed the scope of 3 dependencies, in the pom file, from scope 'Test' to scope 'Compile'. And, the Jenkins compile error issue --- ([ERROR] C:\Users\***\.jenkins\workspace\JenkinCICD\src\main\java\simplePackage\SimpleActions.java:[6,26] error: package org.openqa.selenium does not exist ) --- was fixed. Not getting that error anymore, and the app ran fine through Jenkins job. Thanks Ivan!
---------- Forwarded message ---------
From: <[email protected]>
Date: Mon, Jul 14, 2025 at 7:14 PM
Subject: Re: Bug in MATLAB R2025a MEX: internal subroutines cause segfault [ ref:!00Di00Ha1u.!500UU0SYwr4:ref ]
Dear Customer,
I am writing in reference to your Technical Support Case 07931486 regarding 'Bug in MATLAB R2025a MEX: internal subroutines cause segfault'.
Thank you for bringing this issue to our attention. We have confirmed that this is a bug and have reported it to our development team. I have attached your case to our internal records, so you will be notified by email once a fix is available.
Please note that while this service request will be closed, your case will remain open in our database for our developers to address.
In the meantime, the only available workaround is to use an earlier release or to work on Windows.
If you have any further questions, please let me know.
Answer: You download it from a trusted source. It should be available somewhere as it is necessary to run OpenGL SuperBible7 examples. Or, you could follow the other answers which could easily download trojans or viruses to your computer. One of the other answers even shows that the python script downloads things from who knows where. But you should know that the previous answers are bad because...
How does it make any sense that I would have to download another program to get a precompiled header? Is the other program a compiler? If you already have a compiler, why would you need to download another one just to make a precompiled header? Why would you bother to learn to use a new program rather than do the conventional thing and just download exactly what you need from a trusted source? Does this python script even make a precompiled header or does it make an uncompiled header, i.e. one you wrote which is still in source code. On another forum it looked to me that this script actually makes an uncompiled header. i.e. #include "gl3w.h" as opposed to <gl3w.h> which the superbible calls for. Sure, you could change the sb7 code, but should you need to?
In my case, using nginx and PHP the problem was that the request URL was too long in one XHR call, and that caused all other XHR calls on that page to fail as well. The problem went away after I switched that long query string from GET to POST
Solution : select whole function and then run that (do not use ALT + F5)
In my case I am using ALT + F5 and in almost case it automatically select correct full query but not in this case so try to select that much query and then run, may be this work :)
# Using a callback to trainer because Huggingface does not explicitly log the train accuracy
# Adding a custom callback which calls the evaluate() method with train_dataset at the end of every callback.
class CustomCallback(TrainerCallback):
def __init__(self, trainer) -> None:
super().__init__()
self._trainer = trainer
def on_epoch_end(self, args, state, control, **kwargs):
if control.should_evaluate:
control_copy = deepcopy(control) #If not deep copy control, the trainer would not evaluate the evaluation dataset
self._trainer.evaluate(eval_dataset=self._trainer.train_dataset, metric_key_prefix="train")
return control_copy
def my_compute_metrics2(eval_pred):
metrics = ["accuracy", "bleu"]
metric={}
for i in metrics:
metric[i] = evaluate.load(i)
preds, labels = eval_pred
predictions = np.argmax(preds, axis=1)
metric_results={} # Create dictionary to store Accuracy and Bleu metrics
for i in metrics:
metric_results[i]=metric[i].compute(predictions=predictions, references=labels)[i]
return metric_results
However, when running on Google Colab, the following error " out of GPU memory " occurred. Please see below:
OutOfMemoryError: CUDA out of memory. Tried to allocate 4.10 GiB. GPU 0 has a total capacity of 14.74 GiB of which 732.12 MiB is free. Process 444503 has 14.02 GiB memory in use. Of the allocated memory 8.97 GiB is allocated by PyTorch, and 4.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.
How to fix above OutOfMemoryError ? I look forward to hearing from you!
Thanks in advance! It is urgent for me to fix it.
Reasons:
Blacklisted phrase (0.5): Thanks
RegEx Blacklisted phrase (3): Thanks in advance
RegEx Blacklisted phrase (1.5): How to fix above OutOfMemoryError ?
When you open your widget locally (like from file://...), the browser blocks AJAX calls to your PHP server due to CORS restrictions and security policies around local files.
To fix this, do :
1. Run your widget through a local server
Instead of double-clicking the HTML file, serve it using a local server. If you have PHP installed, you can do this easily:
php -S localhost:8000
Then open the widget in your browser using:
http://localhost:8000/index.html
Now the browser treats it like a normal web page, and AJAX calls to your PHP server will work (assuming the server allows it).
You can update you issue. After you have removed the content you don't want visible you can now delete the revisions from the issue history.
Note: Any attachment might still online if the URL is known (search engine cache, old browser tab, ...). If you don't Gthub to have the content, contact their support as suggested in Ionică Bizău's answer.
Editing the issue and deleting the revision from history is curently the fastest way to remove content from public visibility.
built something for the XState crowd (and anyone into event‑driven vibes) on the Python side. Draw your flow in the XState editor, export JSON, then run "xsm gt my-file.json" —boom: plug‑and‑play Python boilerplate (placeholders) in seconds. Sync or async, type-safe, and you can drop in your own plugins to hook into whatever tools you like. If you’re into event‑driven architecture, this might be your final stop. Give it a whirl!
I was wondering if there is any solution to code-sign the electron application for macOS with Azure Key Vaults, even using any trusted third-party software.
Can be due to how it processes HTML attributes. Some editors may add it automatically to ensure the code is compatible with other editors where attributes are expected to be given explicit values.
Try to see if there's a way to configure it, but read the docs to make sure of what you're doing.
Create a custom class that Will handle everything.
For example, i have a panel.h class that inherits from QFrame, in this class i have a Lot of factory functions for creating every widget, and all those returning widgets Will be anchored to a base Layout that belongs to the panel..
Once You create this Workflow, handcoding Will be a lot faster
Wjsjskzkzkzmz ini juga bang gue baru main bang please bang jali bang jali bang jali bang jali bang jali bang jali bang jali bang jali bang jali bang jali bang jali bang jali bang jali jali versi gue sudah pakai baju seksi di rumah dan kolesterol dalam tugas gue di rumah 🏡
i did somthing like that before if you want to review the solution:
synchronizing user data from a MySQL database to an LDAP directory, https://github.com/Imen-Frigui/LDAP-SyncHub
The error comes from the way you defined llm. You accidentally added a comma at the end, so llm becomes a tuple instead of a ChatOpenAI instance. Just delete the comma at the end.
Oh wow, of course I'd find the issues only minutes after posting. My mistake was not placing the "@container" class high level enough. I thought it had to be the direct parent, but it oviously has to be the outer wrapper of the component.
This is an old question and some clever workarounds have been posted already, however, wanted to leave mine here that handles the problem only from the html template without having to modify the views or write custom decorators.
When the user gets redirected to the login page by the @login_required decorator, Django by default stores the path from which the user was redirected from in the 'next=' query parameter.
For example, let's assume we are trying to access the path to view presentation, which is protected by @login_required. This means if we try to access this page without being logged in first, we will be redirected to the login path, which might look something like this:
Here, you can see the 'next=' query parameter was appended at the end of the login path - the name for this parameter can be customized and made unique by specifying a 'redirect_field_name' parameter for 'login_required()'.
Once you know that this query parameter will always appear in the login path each time a user is redirected by '@login_required', you have the option to add an error message from within the login.html template by doing the following:
{% if request.GET.next %}
<div class="alert alert-warning alert-dismissible fade show" role="alert">
Please log in to access this page
<button type="button" class="btn-close" data-bs-dismiss="alert" aria-label="Close"></button>
</div>
{% endif %}
This will add the following dismissible warning to the login page to appear only when the user is redirected from '@login_required'.
As far as I know, a new R packages called "fEGarch" was published on CRAN about one month agao, with this package you can fit FIAPARCH, FIEGARCH as well as longmemory extensions of the TGARCHand GJR-GARCH. Moreover, rolloing forecating and backatesting of VaR (value at risk) and ES (expected shortfall) can be carried out easily. Additionally, you can also carry out rolloing forecating and backatesting of VaR (value at risk) and ES (expected shortfall) for any other extenal models by inputing the corresponding results obtained outside the fEGarch package.
In order to confirm I tried a very different method which is not iterative and which doesn't need initial estimate. That way the lack of estimate or bad estimate doesn't affect the result.
Same problem here with my graph having a double-nested map-reduce pattern, where A -> Send([B, C]) and B -> Send([D, E]) with C -> A and D -> A and E -> A
The problem manifests as:
Node A doesn't wait for all edges (D, E, and C) to complete before starting
A can be triggered with only C completed, then again with D and E
This violates the expected map-reduce behavior where the reduce phase should collect all results before proceeding
I tried also to set the parameter defer=True for the A node as advised in the doc, but still have the same issue.
Use <input type="month"> instead of type="date" and bind lookDate as a String. Then manually parse it to LocalDate with day 01 appended. This avoids binding errors.
You can run Minimal APIs and Azure Functions in the same .NET solution. But, not in a same project it is not even recommended. Because, Minimal API's rely on asp.net core's webApplication and Kestrel .
But Azure Functions runtime uses its own host (func.exe) and startup pipeline.
Because both have different environments/runtimes that's why it is not recommended to use them in same project.
As proposed I reposted this question to Unix & Linux SE and I got a solution for my problem.
The main difference between my minimum reproducable example and sudo is that sudo modifies the group id as well. In my code I have just modified the user id with setuid().
In connection with the ACL settings for group permissions
getfacl /etc/
# group: root
group::---
other::r-x
this leads to the opserved problem.
So I could solve the problem by switching the group id with setgid() in my program as well. After adding this to my code the program has access to the configuration file after dropping root privileagues.
Online Police Clearance Certificate System is introduced for save time, travel cost and effort. Submit your application through online and get certificate.
Add and discard the carry out (it doesn't play any role in determining overflow).
Now check if both the original numbers have same sign and the result has opposite sign (simply check their most significant bits). If so overflow has occured and obtained answer is wrong. Else you have the correct answer.
I have fixed this issue, but @Hans Killian has answered, i want to extend on his answer:
1. Secrets in docker containers are supposed to be stored in a root path inside a the directories run/secret, meaning it should not be in any other local directory (in my case it was /app )
2. The environment variable PROD is set to 1 inside the multi-container file compose.yml , however, i believe this set the PROD in runtime and not build time.
Here is the final version of the image Dockerfile
# First Stage is used to install the dependencies from the host machine app to the image /app directory
FROM node:22-alpine AS initiate
ENV PROD = '1'
# set the environment variable PROD to 1, which is used to determine if the app is
# set the working directory in the container to /app
WORKDIR /app
# copy package.json from the host machine to the /app directory in the image
COPY package*.json ./
RUN --mount=type=secret,id=CONNECTION_STRING \
--mount=type=secret,id=EMAIL_SERVER_HOST \
--mount=type=secret,id=EMAIL_SERVER_USER \
--mount=type=secret,id=EMAIL_SERVER_PASSWORD \
--mount=type=secret,id=EMAIL_SERVER_PORT \
--mount=type=secret,id=EMAIL_FROM \
--mount=type=secret,id=NEXTAUTH_URL \
--mount=type=secret,id=NEXTAUTH_SECRET \
export CONNECTION_STRING="$(cat /run/secrets/CONNECTION_STRING)" && \
export EMAIL_SERVER_HOST="$(cat /run/secrets/EMAIL_SERVER_HOST)" && \
export EMAIL_SERVER_USER="$(cat /run/secrets/EMAIL_SERVER_USER)" && \
export EMAIL_SERVER_PASSWORD="$(cat /run/secrets/EMAIL_SERVER_PASSWORD)" && \
export EMAIL_FROM="$(cat /run/secrets/EMAIL_FROM)" && \
export NEXTAUTH_URL="$(cat /run/secrets/NEXTAUTH_URL)" && \
export EMAIL_SERVER_PORT="$(cat /run/secrets/EMAIL_SERVER_PORT)" && \
export NEXTAUTH_SECRET="$(cat /run/secrets/NEXTAUTH_SECRET)" && \
npm ci
# 2nd Stage is used to build the app
FROM initiate AS build
COPY --from=initiate /app/node_modules ./node_modules
COPY . .
# copy the rest of application from the host machine to the /app directory in the image to build the app
RUN --mount=type=secret,id=CONNECTION_STRING \
--mount=type=secret,id=EMAIL_SERVER_HOST \
--mount=type=secret,id=EMAIL_SERVER_USER \
--mount=type=secret,id=EMAIL_SERVER_PASSWORD \
--mount=type=secret,id=EMAIL_SERVER_PORT \
--mount=type=secret,id=EMAIL_FROM \
--mount=type=secret,id=NEXTAUTH_URL \
--mount=type=secret,id=NEXTAUTH_SECRET \
export CONNECTION_STRING="$(cat /run/secrets/CONNECTION_STRING)" && \
export EMAIL_SERVER_HOST="$(cat /run/secrets/EMAIL_SERVER_HOST)" && \
export EMAIL_SERVER_USER="$(cat /run/secrets/EMAIL_SERVER_USER)" && \
export EMAIL_SERVER_PASSWORD="$(cat /run/secrets/EMAIL_SERVER_PASSWORD)" && \
export EMAIL_FROM="$(cat /run/secrets/EMAIL_FROM)" && \
export NEXTAUTH_URL="$(cat /run/secrets/NEXTAUTH_URL)" && \
export NEXTAUTH_SECRET="$(cat /run/secrets/NEXTAUTH_SECRET)" && \
export EMAIL_SERVER_PORT="$(cat /run/secrets/EMAIL_SERVER_PORT)" && \
npm run build
# 3rd Stage is used to run the app
FROM initiate AS run
RUN addgroup --system --gid 1001 nonroot
RUN adduser --system --uid 1001 runner
# Create a non-root user to run the app and assign it to the nonroot group
USER runner
# Switch to the user runner
COPY --from=build /app/public ./public
COPY --from=build --chown=runner:nonroot /app/.next/standalone ./
COPY --from=build --chown=runner:nonroot /app/.next/static ./.next/static
EXPOSE 3000
CMD ["npm","run","start"]
# finally, run the app in production mode
as you see the paths provided as arguments to readFile API started with /, meaning it is an absolute path to the container root, that where secrets are stored.
check the generate graphql(.gql) file in the project root level.
if the the mutation is available in the .gql file go the play ground click Root in the breadcrumbs.(check the below image). In the roo both Queries and mutations available
3 if the mutaion is not available in .gql (notmaly at the bttom) file in the root level, try to delete it and re build the project
