Following your feedback, I looked at the ConsumeKafkaRecord and I think that yes you're right I could apply the following Flow: ConsumeKafkaRecord(ScriptedReader, CSVWriter) => MergeContent => UpdateAttributes => PutFile.
1/ In the ConsumeKafkaRecord, I'd like to use a ScriptedReader to convert and modify the json message and a CSVWriter to write the new message.
2/ MergeContent to merge the stream files.
3/ UpdateAttributes to change the file name.
4/ PutFile to write the file
The only problem is the header I want to write to the CSV file, as I only want one header.
Do you agree with this flow?
Thanks a lot.
To crawl a face image using Google Image Search engine, follow these steps:
Go to Google Images.
Click on the camera icon (Upload an image).
Upload the face image or paste its URL.
Google will show visually similar images and related websites.
Open Google Lens in the Google app or Chrome.
Upload or scan the face image.
Lens provides matching images, profiles, and sources.
Use Selenium or BeautifulSoup with Google Search queries.
Use face search engine to match image results programmatically.
Crawling face images without consent may violate privacy laws. Always follow ethical and legal guidelines.
There 3 types of repos. you can delete like below.
local repo -> git branch -d branch_name
origin repo-> git branch --delete --remotes origin/branch_name
upstream repo-> git branch --delete --remotes upstream/branch_name
I have not looked into this specifically from the APS side of things, but The Building Coder shares quite a few posts on setting up section boxes:
Check the newest suggested standards here: https://html.spec.whatwg.org/multipage/rendering.html#phrasing-content-3
Sorry, I can't find the about:blank sniffing technique that was referred to by ruakh
@Service("customuserdetails")
public class CustomUserDetails implements UserDetailsService {
@Autowired
private UserRepo userrepo;
@Override
public UserDetails loadUserByUsername(String username) throws UsernameNotFoundException {
Supplier<UsernameNotFoundException> s= () -> new UsernameNotFoundException("Error finding the user");
User user=userrepo.findByUsername(username).orElseThrow(s);
return user;
}}
This is the implementation which is working. I had to change my security beans to @configuration, and I added @repository to my repo interfaces. I also ended up changing my User class to implement UserDetails.
Here is a demo given by react flow on how to download a diagram as image https://reactflow.dev/examples/misc/download-image
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I too faced a similar issue when using parallel stream API.
Below is the scenario; I have a list of transaction objects in reader part of a spring batch , when this list if passed to processor, used parallel stream to process the transaction object in a multi threaded mode. but unfortunately, the parallel stream is not consistent. it is skipping the records at times.
Any fix added in java.util.stream API?
Use a set instead of an array for storing the visited nodes. Sets have O(1) lookup time, resulting in a total time complexity of O(n) for your algorithm, which is otherwise correct.
As for the statement that "going from node a to b to a isn't a cycle",
This is true if you consider simple graphs only and have to use the same edge twice, in multigraphs you may have more than one edge connecting a and b in which case a-b-a over distinct edges counts as a cycle.
Might be unrelated but I just had an experience with this, and the problem I had was the directory it was trying to build in which at that time was the Desktop, I've changed into a subfolder and it worked without any other steps required.
Use importlib.util for a clean check Let me know if this code works for you.
import importlib
if importlib.util.find_spec("library_name") is not None:
print("Installed")
Body must be at least 30 characters; you enteredBody must be at least 30 characters; you enteredBody must be at least 30 characters; you entered
You can try again But now upgrade the ext.kotlin_version in this code and give me feedback if it is Run.
flexGrow: 1
from contentContainerStylestyle={{flex:1}}
on flatlistflex:1
Flatlist
inside another Scrollview
I found that the methods mentioned in other answers are either unavailable on the online website or too complicated to operate. Let me recommend the latest available method I found. It supports removing line numbers and controlling fonts.
It can solve the problem of code display effect in Word.
example:
The 80 column IBM punch cards can contain binary data with each column representing a full binary byte. I used this all the time to output binary data. A compiler or assembler can produce and Object deck of cards, which is fed into a linker for execution. The obj was binary information. The object deck had different record types, the most typical format was the TXT record (https://www.ibm.com/docs/en/hla-and-tf/1.6?topic=output-txt-record-format)
there also was a REP type which allowed you to patch an object deck on the fly. I did this on an IBM 360 & 370 machines
RCT_NEW_ARCH_ENABLED=0 bundle exec pod install
Use the reflect package to reduce this type of duplication.
// GetJsons decodes the JSON responses to the slice pointed
// to by target. The target argument must be a pointer to
// a slice of cheese.
func GetJsons(urls []string, target any) []error {
errors := make([]error, len(urls))
v := reflect.ValueOf(target).Elem()
v.Set(reflect.MakeSlice(v.Type(), len(urls), len(urls)))
var wg sync.WaitGroup
wg.Add(len(urls))
for i, url := range urls {
go func() {
defer wg.Done()
errors[i] = GetJson(url, v.Index(i).Addr().Interface())
}()
}
return errors
}
Replace calls to GetJsonAs*Multiple with calls to GetJsons:
var hashmaps []Map
errors := GetJsons(urls, &hashmaps)
I spent several days researching and trying to determine why it was serving what appeared to be a cached instance of this file. Since I was at the end of my rope, I decided why not increment the version of the library and see what happens.
I incremented the package version from 0.0.1-alpha.0 to 0.0.1-alpha.1.
I then re-packaged the library and updated the dependency link in the workspace to reference the new version of the identity.worker tar ball.
Spooled up karma jasmine and executed some tests. to my surprise the karma dev server served the updated file.
The take away from this is in order for karma dev and maybe the angular dev environment to serve an updated file from a node modules location, the package version must be incremented.
Many of companies policies have restricted use of NVM on windows due to several reasons. In such cases there is another way we can manage multiple versions on windows.
First uninstall all node versions from your system control panel. Then you need to either download the binary / archived versions from the node page.
Download from here https://nodejs.org/en/download
If you don't found your exact version from above page then please check from node dist - https://nodejs.org/dist/
select your version and then download : node-vXX.xx.xx-win-x64.zip. You can download multiple required versions
eg for version 22.6.0 → node-v22.6.0-win-x64.zip
Then unzip the downloaded file, now add the location of unzip folder to path variable inside System environment variable.
NOTE : You need to close and restart all terminals to affect the changes.
If you need to change the version just update path variable to point point out another version location inside System environment variable and ready to use.
I have this problem when I use different wifi, I can't make calls to each other, but when I connect to the same network, I can still make calls to each other. I don't know what's wrong, I hope everyone can help me. This is my source code.
Code Fe:
https://github.com/qminhminh/test_call_video_webrtc
BE:
https://github.com/qminhminh/call_wbrtc_server
ERROR LOG
👍
016:064][60451] (stun_port.cc:460): Port[4918800:0:1:0:host:Net[en1:2405:4803:b48b❌x❌x:x/64:Wifi:id=2]]: StunPort: stun host lookup received error 8
[016:064][60451] (basic_port_allocator.cc:1118): Port[4918800:0:1:0:host:Net[en1:2405:4803:b48b❌x❌x:x/64:Wifi:id=2]]: Port completed gathering candidates.
[016:064][60451] (stun_port.cc:460): Port[4918e00:0:1:0:host:Net[lo0:0:0:0❌x❌x:x/128:Loopback:id=4]]: StunPort: stun host lookup received error 8
[016:064][60451] (basic_port_allocator.cc:1118): Port[4918e00:0:1:0:host:Net[lo0:0:0:0❌x❌x:x/128:Loopback:id=4]]: Port completed gathering candidates.
[016:064][60451] (stun_port.cc:607): UDP send of 20 bytes to host demo.espitek.com:3478 (14.224.216.x:3478) failed with error 0 : [0x00000031] Can't assign requested address
[016:064][60451] (stun_port.cc:460): Port[49a2600:1:1:0:host:Net[en1:2405:4803:b48b❌x❌x:x/64:Wifi:id=2]]: StunPort: stun host lookup received error 8
[016:064][60451] (basic_port_allocator.cc:1118): Port[49a2600:1:1:0:host:Net[en1:2405:4803:b48b❌x❌x:x/64:Wifi:id=2]]: Port completed gathering candidates.
[016:064][60451] (stun_port.cc:607): UDP send of 20 bytes to host demo.espitek.com:3478 (14.224.216.x:3478) failed with error 0 : [0x00000031] Can't assign requested address
[016:064][60451] (stun_port.cc:460): Port[49a2c00:1:1:0:host:Net[lo0:0:0:0❌x❌x:x/128:Loopback:id=4]]: StunPort: stun host lookup received error 8
016:128][60451] (turn_port.cc:877): Port[601ea00:0:1:0:relay:Net[lo0:127.0.0.x/8:Loopback:id=3]]: Failed to send TURN message, error: 49
[016:128][60451] (turn_port.cc:1348): Port[601ea00:0:1:0:relay:Net[lo0:127.0.0.x/8:Loopback:id=3]]: TURN allocate request sent, id=484861424a35586a6d786465
[016:128][60451] (turn_port.cc:396): Port[6134000:1:1:0:relay:Net[en1:192.168.1.x/24:Wifi:id=1]]: Trying to connect to TURN server via udp @ demo.espitek.com:3478 (14.224.216.x:3478)
I just face the same problem. There's probably not id but instance. You'll may resolve relate form's model to database table's Model
forms.py
from .models import DbTable # DbTable is your database table
def StudentRequestForm(forms.ModelForm):
/* your many forms */
class Meta:
model = DbTable
fields = '__all__'
To connect Godaddy domain with Firebase Hosting with www redirect:
(Process to point www.yourdomain.com -> yourdomain.com)
Goto Godaddy portal -> Forwarding -> Subdomains -> Add Forwarding -> Enter subdomain as www -> Add destination url as yourdomain.com
Step 1 will add two A records
Goto Firebase hosting -> Connect Domain -> Enter domain yourdomain.com -> Connect
Add the A and TXT records provided by Firebase in the DNS records on Godaddy portal.
This steps worked for me & should solve the issue.
Can you try if below code chunk works?
WHERE sets.importDate >= :beginDate AND (sets.importDate <= :endDate OR :endDate IS NULL)
Thank you for outlining the issue you’ve been experiencing with the sheet metal bends and the beveling on the edge of the bend line. I understand that this slight bevel is causing a double cut during the laser cutting process, which can be quite challenging.
Regarding your question about using the InventorServer API, we will study the feasibility of extracting just the top or bottom face of the flat pattern using the API in combination with Forge. To better understand your specific situation and provide the most accurate solution, we would appreciate it if you could provide more details, such as:
The specific version of Inventor you are using.
Any sample data set or files where the beveling issue is occurring (if non-confidential and permissible).
Any additional context on how you are currently exporting the flat pattern via DataIo.
A video demonstrating the issue would be particularly helpful.
Once we have more information, we can explore possible solutions and API functionalities to address the problem.
Looking forward to your response.
Thanks and regards,
Chandra shekar G
Developer Advocate
Autodesk Platform Services (formerly Forge)
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A 301 redirect means that the move is permanent.
The browser caches the new URL and does not request the old one again.
Search engines update their index, replacing the old URL with the new one.
The new URL inherits the SEO ranking of the old URL.
A 302 redirect means that the move is temporary.
The browser does not cache the new URL.
Search engines do not update their index; they continue using the old URL.
Each time the user requests the old URL, they get redirected again.
Not enough rep to post a comment so I'm writing an answer.
Sounds like you could have an SSH configuration mismatch between your /etc/ssh/sshd_config
file on your Pi, and your /etc/ssh/ssh_config
file on your Mac.
Can you post the uncommented text from your Pi's sshd_config
file, your Mac's ssh_config
file, and the ssh_config
file from another computer that can successfully connect?
That should give us some starting information to debug what might be going on and I can edit my answer as we go.
If there is an issue when the form is rendering improperly due to css, then make sure that /static/ is same with STATIC_URL setting
css = {'all': ('/static/admin/css/widgets.css',), }
Reference https://www.dangtrinh.com/2014/01/django-use-django-admin-apps.html
After some try-and-error, I found a simple solution.
At the .env file, just add this
_PIP_ADDITIONAL_REQUIREMENTS=apache-airflow-providers-oracle
and run the
docker compose up -d
command will do.
I had the same problem, then i updated the drivers and restarted the computer. It worked.
Like your post, thanks for sharing
As per official doc, you can override or change the default user agent the browser uses
export default defineConfig({
e2e: {
...,
userAgent: 'Mozilla/5.0 ~',
},
...
})
Creating and Publishing React Npm Packages simply using tsup https://medium.com/@sundargautam2022/creating-and-publishing-react-npm-packages-simply-using-tsup-6809168e4c86
First, you can check the devices that is available for inference.
import openvino as ov
core = ov.Core()
core.available_devices
Note that GPU devices are numbered starting at 0, where the integrated GPU always takes the id 0 if the system has one. For instance, if the system has a CPU, an integrated and discrete GPU, we should expect to see a list like this: ['CPU', 'GPU.0', 'GPU.1'].
If the GPU doesn't appear on the list, we would need to follow the steps below to configure your GPU drivers to work with OpenVINO.
The steps you can refer to this links in order to get the latest update.
https://docs.openvino.ai/2024/get-started/configurations/configurations-intel-gpu.html
https://rajrock38.medium.com/lost-your-uncommitted-changes-in-git-there-is-a-fix-2357ef58466 thank me later for sharing answer
I had this problem today. Solved it by calling tcpip_init() before calling pppos_example_init():
tcpip_init( NULL, NULL );
pppos_example_init();
I solve same problem with js function like that
function onDataBoundTree()
{
jQuery.event.simulate = function ()
{
};
}
My problem is there is filter textbox top of the treecomponent but I can't input any value on them. This Way solved my issue.
minreturn = min(R)
dayofminreturn = R.index(midreturn)
mindepart = min(D[:dayofminreturn+1])
#can fly there and back in the same day #
cheapestroundtrip = mindepart + minreturn
This issue nearly took my life, its been one month I have been trying to resolve this issue. But in the last I came to know that Antivirus was blocking me to send email and hence getting "Could not reach the remote Mailgun server" issue in my project.
I just disabled AVG Antivirus and it worked fine. I hope this will help someone.
Thanks.
please add ,it should resolve the issue
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-openai-spring-boot-starter</artifactId>
</dependency>
from random import randint
x = randint(1, 6)
class Die():
"""Make a class Die with one attribute called sides"""
def __init__(self, sides = 6):
self.sides = sides
"""Write a method called roll_die() that prints a random number"""
def roll_die(self):
for i in range(10):
dice = randint(1, self.sides)
print("Rolling " + str(dice))
print("\nRolling a 6 sided die:")
six_sided_die = Die()
six_sided_die.roll_die()
print("\nRolling a 10 sided die:")
ten_sided_die = Die(10)
ten_sided_die.roll_die()
print("\nRolling a 20 sided die:")
twenty_sided_die = Die(20)
twenty_sided_die.roll_die()
# Configurar el directorio base donde están los proyectos
$BaseDir = "C:\Ruta\A\Proyectos"
# Ruta al ejecutable de Visual Studio 2019 (ajustar si está en otro directorio)
$VSPath = "C:\Program Files (x86)\Microsoft Visual Studio\2019\Professional\Common7\IDE\devenv.com"
# Archivo CSV de salida
$OutputCSV = "C:\Ruta\De\Salida\metricas.csv"
# Encabezados del CSV
"Project, MaintainabilityIndex, CyclomaticComplexity, DepthOfInheritance, ClassCoupling, LinesOfCode" | Out-File -FilePath $OutputCSV
# Buscar todos los archivos .csproj en el directorio y subdirectorios
$Projects = Get-ChildItem -Path $BaseDir -Recurse -Filter "*.csproj"
# Procesar cada proyecto
foreach ($Project in $Projects) {
$ProjectPath = $Project.FullName
$SolutionDir = Split-Path -Path $ProjectPath -Parent
# Ejecutar análisis de métricas en el proyecto
$MetricsOutput = & "$VSPath" "$ProjectPath" /Clean /Rebuild /ProjectMetrics
# Extraer los valores de métricas del output
if ($MetricsOutput -match "Maintainability Index:\s+(\d+).*Cyclomatic Complexity:\s+(\d+).*Depth of Inheritance:\s+(\d+).*Class Coupling:\s+(\d+).*Lines of Code:\s+(\d+)") {
$MaintainabilityIndex = $matches[1]
$CyclomaticComplexity = $matches[2]
$DepthOfInheritance = $matches[3]
$ClassCoupling = $matches[4]
$LinesOfCode = $matches[5]
# Guardar resultados en CSV
"$($Project.Name),$MaintainabilityIndex,$CyclomaticComplexity,$DepthOfInheritance,$ClassCoupling,$LinesOfCode" | Out-File -FilePath $OutputCSV -Append
}
}
Write-Host "Métricas generadas y guardadas en: $OutputCSV"
For large log files, I found this AI-powered debugging tool that automates
I had this with an Azure automation runbook. I found that I had to install/import ldap3 and then pyasn1 0.6.1.
The module import on my laptop brought down pyasn1 0.6.1 as well. Looks like Azure Automation didn't.
hth.
Other answers did not work for me, but I found another solution.
I installed Xcode, and then the upgrade succeeded.
Additional info:
Environment: MacBook Pro 2016, macOS Monterey
Using `brew upgrade glib -v`, I found that `/usr/bin/python3` was used during the `gobject-introspection` build.
Things I tried (but failed):
- Changed `PATH` to prioritize `/usr/local/bin/python3`
- Updated `PKG_CONFIG_PATH` to include `/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/lib/pkgconfig`
Checked `python-3.9.pc`, which had 'prefix=/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.9' so,
- Changed it to 'prefix=/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9'
Since other formulae required Xcode, I installed Xcode, and that resolved the issue.
One more thing I haven't tried yet:
/usr/bin/python3 -m pip install pkgconfig
might also help.
If you pre-pend "E.C.P.C" to every sting from your 255maxlength DB you should be ok.
j/k this is not possible
I had a similar issue. I was able to gain access to repos i couldn't see by going here:
https://github.com/apps/claude-for-github/installations/select_target
Using this link, select the github user or organization, the all or specific repos to delegate access to the claude-for-github app.
Once granted, you still may not see all repos in the list, but I was able to successfully use the "paste Github URL" link in the Claude desktop app to add a private repo that did not appear in the list.
I also use Ubuntu on Virtualbox with a Windows 10 host. I managed to create a virtual environment with the following command successfully:
sudo python3 -m virtualenv --always-copy .venv
./filename.exe -extractdrivers filename_extracted
powershell command line , just change to same directory
Original define in the NVIDIA docs #define IDX2F(i,j,ld) ((((j)-1)*(ld))+((i)-1))
has no space between IDX2F and (i,j,ld). If there is the mistaken space then the IDX2F is substituted by (i,j,ld) ((((j)-1)*(ld))+((i)-1))
that is not expected. Since a fixed format is used for Fortran source then due to extra `(i,j,ld) ` resulting string exceeds 72 symbols and some right parenthesis 'are eated'. However, the used define operator has correct numbers of the left and right parenthesis.
Thanks for the clarification through the comment.
Since you cannot share the entire code, let's try to be in the same page.
const data = (await request.json()) as ResumeFormData;
→ I assume this is post data coming from client http request.
The following code launches chromium with the binary.
const browser = await puppeteer.launch({
headless: true,
args: [...chromium.args, "--no-sandbox", "--disable-setuid-sandbox"],
executablePath: await chromium.executablePath(chromiumPack),
});
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<style>
@font-face {
font-family: 'Noto Sans JP';
src: url('file://${process.cwd()}/public/fonts/NotoSansJP-Medium.ttf') format('truetype');
}
body {
font-family: 'Noto Sans JP', sans-serif;
margin: 0;
padding: 20mm;
}
h1 {
text-align: center;
font-size: 24px;
margin-bottom: 2rem;
}
h2 {
font-size: 20px;
margin-bottom: 1rem;
border-bottom: 1px solid #ccc;
padding-bottom: 0.5rem;
}
</style>
</head>
<body>
<h1>職務経歴書</h1>
<h1>test</h1>
<div class="section">
<h2>基本情報</h2>
<p>氏名: ${data.basicInfo.lastName} ${data.basicInfo.firstName}</p>
<p>フリガナ: ${data.basicInfo.lastNameKana} ${
data.basicInfo.firstNameKana
}</p>...
I created a simple version since I don't have vercel, but tried to make it the same code as much as possible.
import puppeteer from "puppeteer";
(async () => {
const document = `
<!DOCTYPE html>
<html>
<head>
<style>
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP&display=swap');
body { font-family: 'Noto Sans JP', sans-serif; padding: 20px; }
h1 { color: blue; }
p { font-size: 14px; }
</style>
</head>
<body>
<h1>Hello world!</h1>
<p>This is a PDF generated from raw HTML content.</p>
<p>こんにちは、世界!</p>
</body>
</html>
`
puppeteer.launch().then(async browser => {
let page = await browser.newPage()
await page.goto('data:text/html;charset=UTF-8,' + document, {waitUntil: 'networkidle0'});
await page.pdf({
path: 'print.pdf',
format: 'A4'
})
browser.close()
});
})();
The following code will generate the following PDF with node index.js
command.
The important things to note are the following:
await page.goto('data:text/html;charset=UTF-8,' + document, {waitUntil: 'networkidle0'});
If I remove the UTF-8, this will be the output.
If you are still experiencing problem, it would be great if you can share the code that you are using to output the PDF. (No need to share your HTML content code)
Regards,
Did you ever find the answer to this? I am struggling with this presently.
The solution is very simple,
just when this error shows while trying to push file/files
do 'git push' again, it works!
Xcode Version 16.2/iOS 13 with view animation
@IBAction func keyPressed(_ sender: UIButton) {
playSound(soundName: sender.currentTitle!)
sender.alpha = 0.5
UIView.animate(withDuration: 0.2) {
sender.alpha = 1
}
}
you just need too save the other file before calling any function from another file
Running your script directly in the R console (instead of within RStudio) might help, as RStudio can sometimes introduce additional memory overhead or restrictions. Are you on Windows?
The issue was an incompatibility between my cluster's filesystem and the caching behavior. using the --cache_dir
flag to point at the worker node's tmp
check out mine sudoku solver , it handle such as error
thank you very much Magdalena. we realize that the CSS isnt influencing the export and adding the styling via attributes does the trick
best regards
edwin
Install Powershell 7 see this article
winget search Microsoft.PowerShell
winget install --id Microsoft.PowerShell --source winget
Django’s default authentication backend (ModelBackend) expects username as the identifier. However, when a custom user model defines email as USERNAME_FIELD, Django does not recognize it during authentication.
To fix this, a custom authentication backend must be implemented as rightly highlighted by @7berlin above.
Step 1: Create a Custom Authentication Backend
Create a new file inside an appropriate app (e.g., users/auth_backend.py) and add:
from django.contrib.auth.backends import ModelBackend
from django.contrib.auth import get_user_model
UserModel = get_user_model()
class EmailBackend(ModelBackend):
"""
Custom authentication backend to authenticate users using email instead of username.
"""
def authenticate(self, request, email=None, password=None, **kwargs):
if email is None or password is None:
return None
try:
user = UserModel.objects.get(email=email)
except UserModel.DoesNotExist:
return None
if user.check_password(password) and self.user_can_authenticate(user):
return user
return None
Step 2: Register the Custom Authentication Backend
Modify settings.py to tell Django to use this custom authentication backend:
AUTHENTICATION_BACKENDS = [
'users.auth_backend.EmailBackend', # Adjust path based on the project structure
'django.contrib.auth.backends.ModelBackend', # Keep Django's default
]
Why keep ModelBackend?
If Django’s default authentication (e.g., admin login with username) is still required, keeping ModelBackend as a fallback is a good practice.
Step 3: Update the Login Function
Modify the view handling authentication to use the new backend:
from django.contrib.auth import authenticate, login
from django.contrib.auth.models import update_last_login
from rest_framework.response import Response
from rest_framework.decorators import action
from rest_framework.permissions import AllowAny
@action(detail=False, methods=["post"], permission_classes=[AllowAny])
def login(self, request):
email = request.data.get("email")
password = request.data.get("password")
user = authenticate(request, email=email, password=password) # Now works correctly
if user:
login(request, user)
update_last_login(None, user) # Updates last login timestamp
return Response({"message": "Login successful!"})
return Response({"error": "Invalid credentials"}, status=401)
Step 4: Restart the Django Server
After making these changes, restart Django to ensure the new authentication backend is applied:
python manage.py migrate
python manage.py runserver
Expected Outcome:
Additional Debugging Tips
If login still fails, check the following:
This solution was verified with the help of AI, but tested and refined manually.
Select2 V.4.0.8
$('#dropdown_name').select2({ width: '100%', dropdownAutoWidth: true });
I experienced this issue and found the cause was importing vitest in the .stories file. Removing vitest as an imported dependency fixed the issue.
I have the same problem, if i change any configuration with the visual tool it brokes the file. Any suggestion?
This worked for me
override func loadView() {
super.loadView()
createWebView()
}
Based on my understanding, the term "buffer" generally refers to a temporary storage space used to reduce the difference between input speed and output speed.
A buffer can be analogized as a bucket that collects rainwater. Even after the rain has stopped, we can still take water from the bucket.
Another simple way in pySpark of get the first value in a cell from a column in a pyspark Dataframe is:
myDF.first()["myColumn"]
this will give you the first value
Thanks all for the inputs and helps. I have not able to resolved this but there is a change of direction that we are to use front-end react implementation instead of optimising via backend implementation. React optimisation is also free.
Please close this question.
When you have an object property such as public UserDto Creator
, this gets added to the generated OpenAPI schema as a $ref.
As per this issue, "In OpenAPI 3.0.x, in order to combine a $ref with other properties, the $ref needs to be wrapped into allOf"
I found the simplest solution was to add the below to the SwaggerGen initialization:
builder.Services.AddSwaggerGen(options =>
{
...
options.UseAllOfToExtendReferenceSchemas();
}
Swashbuckle will then wrap the $ref in an allOf, and correctly set readOnly to true.
One issue with the accepted answer is that the UserDto object will be readOnly everywhere in the schema, not just for the BlogDto object. This can be a problem if you also need to specify an API for creating a UserDto, in which case the object would not appear in a POST request in the UI.
im my case the problem was the mapper that not map the other proprerties when return to resource
Obviously it is possible to set up offline maps using a node.js web server to provide tiles from an .mbtiles file. However, I managed to set it up without any server. I used @capacitor-community/sqlite to extract tiles and serve them to openLayers. My code is
--- map.page.ts ----
async createMap() {
(...)
case 'offline':
credits = '© MapTiler © OpenStreetMap contributors'
await this.server.openMbtiles('offline.mbtiles');
const olSource = await this.createSource();
if (!olSource) return;
olLayer = new VectorTileLayer({ source: olSource, style: vectorTileStyle });
break;
(...)
// Create map
this.map = new Map({
target: 'map',
layers: [olLayer, this.currentLayer, this.archivedLayer, this.multiLayer],
view: new View({ center: currentPosition, zoom: 9 }),
controls: [new Zoom(), new ScaleLine(), new Rotate(), new CustomControl(this.fs)],
});
(...)
createSource() {
try {
// Create vector tile source
return new VectorTileSource({
format: new MVT(),
tileClass: VectorTile,
tileGrid: new TileGrid({
extent: [-20037508.34, -20037508.34, 20037508.34, 20037508.34],
resolutions: Array.from({ length: 20 }, (_, z) => 156543.03392804097 / Math.pow(2, z)),
tileSize: [256, 256],
}),
// Tile load function
tileLoadFunction: async (tile) => {
const vectorTile = tile as VectorTile;
const [z, x, y] = vectorTile.getTileCoord();
try {
// Get vector tile
const rawData = await this.server.getVectorTile(z, x, y);
if (!rawData?.byteLength) {
vectorTile.setLoader(() => {});
vectorTile.setState(TileState.EMPTY);
return;
}
// Decompress
const decompressed = pako.inflate(new Uint8Array(rawData));
// Read features
const features = new MVT().readFeatures(decompressed, {
extent: vectorTile.extent ?? [-20037508.34, -20037508.34, 20037508.34, 20037508.34],
featureProjection: 'EPSG:3857',
});
// Set features to vector tile
vectorTile.setFeatures(features);
} catch (error) {
vectorTile.setState(TileState.ERROR);
}
},
tileUrlFunction: ([z, x, y]) => `${z}/${x}/${y}`,
});
} catch (e) {
console.error('Error in createSource:', e);
return null;
}
}
---- server.service.ts -----
async getVectorTile(zoom: number, x: number, y: number): Promise<ArrayBuffer | null> {
console.log(`🔍 Trying to get vector tile z=${zoom}, x=${x}, y=${y}`);
if (!this.db) {
console.error('❌ Database connection is not open.');
return null;
}
// Query the database for the tile using XYZ coordinates
const resultXYZ = await this.db.query(
`SELECT tile_data FROM tiles WHERE zoom_level = ? AND tile_column = ? AND tile_row = ?;`,
[zoom, x, y]
);
if (resultXYZ?.values?.length) {
console.log(`✅ Tile found: z=${zoom}, x=${x}, y=${y}`);
const tileData = resultXYZ.values[0].tile_data;
// Ensure tileData is returned as an ArrayBuffer
if (tileData instanceof ArrayBuffer) {
return tileData;
} else if (Array.isArray(tileData)) {
return new Uint8Array(tileData).buffer; // Convert array to ArrayBuffer
} else {
console.error(`❌ Unexpected tile_data format for ${zoom}/${x}/${y}`, tileData);
return null;
}
} else {
console.log(`❌ No tile found: z=${zoom}, x=${x}, y=${y}`);
return null;
}
}
thanks guys for help,here is my take(from your ideas,incorporating incompatibilities vim<>sed)
i needed to delete lines(and not keep empty spaces) in owntracks logging where accuracy was higher than 400(i might refine later) inside .rec files:
sed -Eiz '/^.*\"acc\"\:([4-9][0-9][0-9])|([0-9]{4,})\}/d' *.rec
hope this helps someone edit: -E for [0-9] matching,-i for inplace edit,-z probably not usefull
When the engine executes bytecode, the C++ handlers stack up on the C++ call stack. At the same time, V8 maintains a virtual representation of the JavaScript stack, which holds the state corresponding to the JS calls. Thus, even though the actual call occurs on the C++ stack through the handler functions, V8 associates a frame in its virtual JS stack with each call. In other words, the JavaScript call stack relies on the C++ stack for the physical execution of calls, but it is enhanced by an abstraction layer that allows V8 to manage optimizations and specific execution details of the JavaScript code.
This approach enables V8 to benefit from the memory management and optimization of the native stack while retaining a logical and manipulable view of the JavaScript code execution.
In summary, the JavaScript call stack is not an independent memory stack; it is implemented by leveraging the C++ stack along with an abstraction layer that provides the specialized management necessary for executing JS in either interpreted mode or when compiled by TurboFan.
i know this late response but it could help someone
I don't know the real cause of your problem, but I recommend testing the SQL Server name first using the SQLCMD command in PowerShell. If it connects successfully, then the SQL Server name is correct, and there may be other issues to address:
You might need to create the SSIS catalog (SSISDB) if it doesn't exist
You may need to create the appropriate folder structure within the SSISDB
Check the permissions of the user account you're using to ensure it has sufficient access rights
I kept getting the error message "TF401180: The requested pull request was not found." even though it worked fine locally using my own PAT token.
I am trying to check the status of a PR in a remote repo hosted in Azure DevOps while running a pipeline from a different repo in the same org and same project. I am using the access token of the pipeline, and the Build Service has permissions on the remote Git repo.
You can either turn off the protection for "Protect access to repositories in YAML pipelines" or review this documentation to understand it better: Secure access to Azure Repos from pipelines | Microsoft Docs.
It is probably a better option to simply checkout that other repo in your pipeline to ensure that your access token is scoped for that repo too.
Either Configure saml using configuration as code
or
Configure your saml using ui.
Go to configuration as code menu & copy "securityRealm" section.
Your configuration as code is stored not on disk but in jenkins-jenkins-jcasc-config configmap. Edit it (kubectl edit or kubectl get oyaml + apply) & replace local section with saml copied from configuration as code UI (add proper indents, probably 4).
Done.
I didn’t notice any specific typos in my code, but by navigating to my Flutter SDK installation directory and running,
git status
git diff
I was able to see that some changes had been made to my Flutter SDK. I discarded them using Git, and that solved the problem.
A problem occurred configuring project ':flutter_blue'.
\> Could not get unknown property 'source' for generate-proto-generateDebugProto of type org.gradle.api.internal.file.DefaultSourceDirectorySet.
Try watching your property like this
const fuelCostWatch = watch('fees.fuel_costs.0');
Instead of
const fuelCostWatch = watch('fees')?.['fuel_costs']?.[0];
Step 1: create a group-level Sum (or Max) of the 0/1 formula.
Step 2: Create a Group Selection Formula of @Group_Sum_Formula > 0
(or @Group_Max_formula = 1).
You can also use phpmyadmin to dump a MySQL database, which the puts the CREATE INDEX statements after all the data tables.
Everyone made some good comments and helped me find my issue, the printf was an indicator that somewhere else in my code that was wrong. What I found out is that there was a call to a timer that doesn't exist due to a poor code clean up, leading the watchdog timer to immediately trigger a cleanup on something that is null.
Thanks for this. It helped me configure my application.
I don't think there is a way you can do this reliably. As soon as you manually put focus on the invalid input, the screen reader is going to stop announcing your list of errors in the live region and announce the input you focused. You could put a delay on the focus to give the screen reader a chance to announce all of the errors in the live region, but then you'll be guessing how long that will take.
One common method for announcing a list of errors is to move focus to the list and make each error message a link to its input. You could also not move the focus at all and just add the errors to the live region. Also, creating a master list of errors is not required. You can just add the error messages to their inputs and put focus on the first invalid input. If you are going to do a master list then I would recommend you move focus to it and add links to the inputs.
def is_installed(pkg):
try:
__import__(pkg)
return True
except ImportError:
return False
if is_installed("foo"):
print("Foo installed")
else:
print("Foo not installed")
This code defines a function that checks if a package is installed using __import__
--Prior year begin and end date
SELECT TO_DATE(EXTRACT(YEAR FROM SYSDATE)-1 || '-01' || '-01') AS Begin
,ROUND(SYSDATE, 'YEAR') -1 AS End
FROM DUAL
;
currently in the same situation. Was there a solution? If so, can you please share with me?
Thanks!
I solved the problem by creating a big canvas and small text in canvas and than i cut it with shaders.
I have this same problem and my clipboard history is already off. Something else is at play here. From a different message I learned that the macro only fails when called by an on-screen button. Calling the macro from the Macros box seems to work fine.
Can we add IP range in the allowed IPs list instead of individual IPs?
It's still a problem today. I tried everything. On web is works fast, on mobile scroll is bad. What is interesting that on the same screen it's sometimes almost good and sometimes very laggy.
Sorry for the late response. If anyone is encountering this issue with Deno 2 after running:
deno run -RWE npm:create-vite-extra@latest
and selecting deno-svelte
as the template, the simplest fix is to update the file extension from svelte.config.js
to svelte.config.ts
BusyBox
uses sh -c
differently, and tini
is trying to execute the whole command as a binary rather than passing it to the shell.
Modify command like this:
command: ["/bin/sh", "-c", "mkdir -p /usr/local/unbound/cachedb.d && chown -R 1000:1000 /usr/local/unbound/cachedb.d/"]
This ensures the directory exists before attempting to change ownership.
docker-compose.yml
file after update
services:
unbound-db-socket:
image: busybox:latest
container_name: unbound-db-socket
init: true
tty: true
command: ["/bin/sh", "-c", "mkdir -p /usr/local/unbound/cachedb.d && chown -R 1000:1000 /usr/local/unbound/cachedb.d/"]
volumes:
- "cachedb.d:/usr/local/unbound/cachedb.d/"
volumes:
cachedb.d:
networks:
bridge:
Mantine now supports transformation in forms (https://mantine.dev/form/values/#transformvalues).
You can easily substitute values like that :
const form = useForm({
initialValues: {
status: 0,
},
transformValues: (values) => ({
status: Number(values.status) || 0,
}),
});
<NativeSelect
description="Status"
data={["0","1","2"]}
{...form.getInputProps('status')}
/>
Is your goal to get a list of the values in your id
column? you can cast your Series
to a list if that is the case. ids = list(row['id'])
Then you will get something like [1, 2, 3, 4]
with your values from your id column from the records returned by the the filtering you did with the Delete
column previously.
Turns out the libraries are different depending on whether you are building libunwind
from the LLVM project repository or from the other distribution.
CLang searches for the version that links with libunwind.so.1
(the one that comes with the LLVM project), while the ladder produces libunwind.so.8
, which I am not sure is even compatible with clang.
Reduce some of the code duplication by using standard library types designed for the scenario. Use sync.WaitGroup for your scenario.
func GetJsonAsMapMultiple(urls []string) (hashmaps []Map, errs []error) {
hashmaps = make([]Map, len(urls))
errs = make([]error, len(urls))
var wg sync.WaitGroup
wg.Add(len(urls))
for i, url := range urls {
go func() {
defer wg.Done()
hashmaps[i], errs[i] = GetJsonAsMap(url)
}()
}
wg.Wait()
return
}
You will need to first access the Start_Part
key value pair if you want to get to 'A5E02578419'. The value for the Start_Part
key is a list, of which one of the elements is 'A5E02578419'.
If you want to get 'A5E02578419':
myDictionary.get('Start_Part', [])[0]