hey i have working on the same , can you help if you got an idea
SELECT
Product_Name,
PONo,
SUM(Quantity) AS Total_Quantity
FROM GrnTable
GROUP BY 1, 2
The last available 64-bit version of MySQL ODBC Driver is 8.0.33. You can find this version under the archive section. After installing this 64-bit driver, it will be accessible in the 64-bit ODBC window.
visual studio 2022 doesn't allow you to change the runtime to 32bit therefore this is the only option i had to use the 64bit driver.
What you are trying can be achieved through the "Foreach" or "While" loop.
Can you let me know the language you are using to get the JSON response? So I can provide you with docs and examples.
I had this same error while running a next app.
The issue was resolved when i moved src (which contained my index.js file) out of public folder making it look this way; my-app/frontend/src
You should focus more on verifying JWT tokens on the server side, as there’s no more secure way than letting clients store their own tokens. However, storing access tokens in cookies on the client side exposes them to XSS attacks. A better approach is:
For Web (React): Store the access token in memory and the refresh token in an HTTP-only, Secure cookie. For Mobile (Flutter): Store both tokens in secure storage (Keychain/Keystore) since cookies aren’t supported. Also, implement token blacklisting and cache invalidated tokens to prevent unauthorized reuse. Always use short-lived access tokens and verify them on every request.
I dont think OvenMedia Engine supports pulling RTMP. You can push RTMP and pull WebRTC..
Either you can change the runtime to 32bit in Visual Studio or install the 64 bit driver.
The last available 64-bit version of MySQL ODBC Driver is 8.0.33. You can find this version under the archive section. After installing this 64-bit driver, it will be accessible in the 64-bit ODBC window.
visual studio 2022 doesn't allow you to change the runtime to 32bit therefore thi is the only option i had to use the 64bit driver.
I found an answer thanks to the question Django REST Framework pagination links do not use HTTPS
setting proxy_set_header X-Forwarded-Proto $http_x_forwarded_proto; in the nginx solves the problem.
Ok I have found a solution that worked for me...
I did the following:
Step 1: Open a new terminal and run sudo apt autoremove sudo apt clean sudo apt autoclean
Step 2: Open a new terminal and run rm -rf ~/.cache/thumbnails/* systemctl stop ufw && systemctl disable ufw
step 3: Open a new terminal and run sudo apt autoremove --purge
Step 4: Open new terminla and run sudo apt install nload iftop nload iftop
Step 5: Open new terminla and run curl -s https://raw.githubusercontent.com/sivel/speedtest-cli/master/speedtest.py | python3 -
I would suggest grouping by the PO number first, and then also group by the Product Name : Group By PONo., Product Name
By adding the group by to the PONo, you accomplish the first task of grouping by respective PO.
I found that $_SERVER['REQUEST_URI'] contains the double slashes. I will use that to redirect to the single-slash-variant.
I don't get how nobody on this thread seamed to understand your problem.
You can also use the parameter: NewCircuitPeriod at torrc file and put there any time you want, in seconds, for TOR to renew your circui, for example:
NewCircuitPeriod 60
Normally this file is in: /etc/tor/torc
Well, it seems that changing the 24-hour time on the MacBook settings works only if you reset the simulator with Erase All Content and Settings....
You could use DeepSeek (without deep thinking), it works better than chatGPT for this particular case.
It's much easier to make these changes directly in GeneXus instead of reading and modifying the HTML.
Button.Caption = "New Caption"
&Column_var.Title = "New Title"
In my experience, the temp dataset is always left as the default value (cloud_dataflow). Instead, the necessary permissions are granted to the service account to enable the job to read data from BigQuery e.g. roles/bigquery.dataEditor role.
I've exactly your configuration and issue. I tried to create a C++ class that install a new QTranslator. Every C++ classes that have a localized strings can register for QEvent::LanguageChange and then emit a signal for every string. This works on C++ class side but qml files still not change. Have you find a solution?
To those that replied Thank you and to any that follow, I found this:- It works in this test code and it remains to be seen if it works in my application. It is very fast too, it has gone from 100's milliseconds to a few microseconds.
from multiprocessing import Process, Lock, Value, shared_memory
import time
import numpy as np
import signal
import os
class Niao:
def __init__(self, axle_angle, position_x, position_y, energy, speed):
self.axle_angle = axle_angle
self.position_x = position_x
self.position_y = position_y
self.energy = energy
self.speed = speed
def move(self, new_x, new_y):
self.position_x.value = new_x
self.position_y.value = new_y
class SharedWorld:
def __init__(self):
self.lock = Lock()
self.niao_shm = None # Shared memory for Niao attributes
def create_niao_shared_memory(self):
# Create shared memory for Niao attributes
self.niao_shm = shared_memory.SharedMemory(create=True, size=5 * 8) # 5 double values (8 bytes each)
return self.niao_shm
def add_niao(self, niao):
with self.lock:
# Store values in shared memory
shm_array = np.ndarray((5,), dtype='d', buffer=self.niao_shm.buf)
shm_array[0] = niao.axle_angle.value
shm_array[1] = niao.position_x.value
shm_array[2] = niao.position_y.value
shm_array[3] = niao.energy.value
shm_array[4] = niao.speed.value
def get_niao(self):
with self.lock:
shm_array = np.ndarray((5,), dtype='d', buffer=self.niao_shm.buf)
return Niao(
Value('d', shm_array[0]), # Create new Value object
Value('d', shm_array[1]), # Create new Value object
Value('d', shm_array[2]), # Create new Value object
Value('d', shm_array[3]), # Create new Value object
Value('d', shm_array[4]) # Create new Value object
)
def move_niao(self, new_x, new_y):
with self.lock:
shm_array = np.ndarray((5,), dtype='d', buffer=self.niao_shm.buf)
shm_array[1] = new_x # Update position_x
shm_array[2] = new_y # Update position_y
def niao_worker(shared_world):
while True:
with shared_world.lock: # Lock access to shared data
shm_array = np.ndarray((5,), dtype='d', buffer=shared_world.niao_shm.buf)
print(f"Niao Worker accessing: Niao Position ({shm_array[1]}, {shm_array[2]})")
pos_x = shm_array[1]
pos_y = shm_array[2]
# Move Niao object
shared_world.move_niao(pos_x + 5.0, pos_y + 6.0)
start_time = time.time() # Record the start time
with shared_world.lock: # Lock access to shared data
shm_array = np.ndarray((5,), dtype='d', buffer=shared_world.niao_shm.buf)
end_time = time.time() # Record the end time
duration_microseconds = (end_time - start_time) * 1_000_000 # Convert to microseconds
print(f"Niao_worker access shm_array {duration_microseconds:.2f} microseconds.")
print(f"Niao Worker accessing post update: Niao Position ({shm_array[1]}, {shm_array[2]})")
time.sleep(1) # Delay for 1 second
def worker(shared_world):
while True:
niao = shared_world.get_niao()
print(f"Worker accessing: Position ({niao.position_x.value}, {niao.position_y.value})")
# Delay to reduce the loop's speed
time.sleep(1) # Delay for 1 second (adjust as needed)
def signal_handler(sig, frame):
print("Terminating processes...")
os._exit(0)
if __name__ == "__main__":
signal.signal(signal.SIGINT, signal_handler) # Handle Ctrl+C gracefully
shared_world = SharedWorld()
shared_world.create_niao_shared_memory()
# Add Niao object to the shared world
shared_world.add_niao(Niao(
Value('d', 0.0), # niao_axle_angle
Value('d', 0.0), # niao_position_x
Value('d', 0.0), # niao_position_y
Value('d', 0.0), # niao_energy
Value('d', 0.0) # niao_speed
))
# Create and start Niao process
niao_process = Process(target=niao_worker, args=(shared_world,))
niao_process.start()
# Create and start Worker process
worker_process = Process(target=worker, args=(shared_world,))
worker_process.start()
# Wait for processes to finish (they run indefinitely)
niao_process.join()
worker_process.join()
# Cleanup shared memory
shared_world.niao_shm.close()
shared_world.niao_shm.unlink()
Vite handles Public Base Path and by default base path equals to /. So you can add / to the beginning of the path, for example like /assets/fonts/GeistMono-Light.woff2 for font file located in /public folder. This will solve the warning.
The advantage of using numpy is that you can specify an optional axis argument along which the mean should be calculated:
def geom_mean(arr, axis=None):
return np.exp(np.mean(np.log(arr), axis=axis))
It uses the identity exp(arithmetic_mean(log(values))) = geometric_mean(values)
I don't know much about "Polylang" plugin but upon searching "pll_get_post" might do it.
replace your code with this code and "1" with your thank you page post id.
add_action( 'wp_footer', 'mycustom_wp_footer' );
function mycustom_wp_footer() {
if ( function_exists( 'pll_get_post' ) ) {
// Get the translated Thank You page URL
$page_id = 1; // Replace with the actual Thank You page ID in default language
$new_thank_you_url = get_permalink( pll_get_post( $page_id ) );
}
?>
<script>
document.addEventListener( 'wpcf7mailsent', function( event ) {
location = "<?php echo esc_url( $translated_thank_you_url ); ?>";
}, false );
</script>
<?php
}
Here is the link if you want to study about the function
https://polylang.wordpress.com/documentation/documentation-for-developers/functions-reference/
I was thinking the easiest thing to do would be to delete the password sign-in method so that the user can only use Google sign-in (they could still reset their password), but I can't find a method anywhere in the docs that does this?
To delete a sign in provider, you have to do it via the Firebase Auth console. Screenshot
Firebase has also has blocking functions that trigger when a user creates an account but before they're added to Firebase. You could use beforeUserCreated to see if the email is already registered and block creation if it's found.
You can solve this problem using the flutter_bloc_mediator package. This package allows BLoCs to communicate indirectly through a mediator, eliminating the need for direct dependencies between them.
How It Works:
Instead of manually invoking events in multiple BLoCs from another BLoC, you can define a Mediator that listens for events from one BLoC and delegates them to others.
Your theoretical approach using password-based encryption (PBE) for authentication introduces interesting trade-offs compared to traditional password hashing.
Below is a breakdown of the security implications, pros/cons, and recommendations:
Key Comparisons: Password Hashing vs. PBE
A password is hashed with a salt using a secure key derivation function (KDF) like Argon2.
Validation involves rehashing the input password with the stored salt and comparing the result.
Advantages:
Simple, widely understood, and battle-tested.
No encryption/decryption overhead; minimal implementation complexity.
Explicitly designed for password storage (e.g., tools like bcrypt and argon2 handle salting and work factors).
Disadvantages:
Does not encrypt user data at rest (if that’s a requirement).
Derive a key from the password using a KDF (e.g., Argon2).
Encrypt arbitrary data (e.g., a fixed string or JSON blob) with this key and store the ciphertext.
Validate passwords by attempting decryption: Success implies the correct key (and password).
Advantages:
Encrypts user data at rest (if the data column contains sensitive information).
Obscures the authentication mechanism (security through obscurity, though not a robust defense).
Disadvantages:
Complexity: Requires secure encryption parameters (nonce/IV, authentication tags).
False Positives: Without authenticated encryption, garbage decryption might accidentally match expected plaintext.
Key Management: Changing passwords requires re-encrypting all data with a new key.
Performance: Encryption/decryption adds minor overhead, but KDFs like Argon2 dominate the cost.
Critical Security Considerations Authentication and Integrity:
Stream ciphers (e.g., ChaCha20) require authenticated encryption (e.g., ChaCha20-Poly1305). Without an authentication tag, attackers could tamper with ciphertexts or exploit false positives during decryption.
Known Plaintext Attacks:
If the encrypted data is predictable (e.g., "valid"), attackers could target it similarly to cracking hashes. Use randomized plaintext (e.g., a UUID) to mitigate this.
Security Through Obscurity:
If the database is breached, attackers likely also have server code (via other exploits), revealing KDF/encryption details. Do not rely on hidden algorithms for security.
Salt and Nonce Management:
Salts must be unique per user. Nonces/IVs must never repeat for the same key. Store these with the ciphertext.
Password Changes:
Updating passwords requires re-encrypting all data linked to the old key, adding complexity.
When to Use PBE Over Hashing? Use PBE if:
You need to encrypt user data at rest (e.g., sensitive user attributes).
You want to combine authentication and data encryption into one workflow.
Stick to Hashing if:
You only need to validate passwords (no data encryption requirement).
Simplicity and maintainability are priorities.
Recommendation For most applications, traditional password hashing is preferable due to:
Lower complexity and fewer failure points.
Explicit design for password storage (e.g., built-in handling of salts and work factors).
No need to manage encryption keys or ciphertexts.
If encryption at rest is required, combine both approaches:
Hash the password (for authentication).
Use a separate key (derived from the password) to encrypt data.
Example Secure Workflow (Hybrid Approach) Registration:
Generate a random salt.
Hash the password with Argon2 (or similar) and store the hash.
Derive an encryption key from the password and salt.
Encrypt user data with this key (using AEAD like AES-GCM) and store the ciphertext.
Login:
Verify the password against the stored hash.
If valid, derive the key and decrypt user data.
This separates concerns (authentication vs. encryption) while leveraging the strengths of both methods.
Final Notes Never use raw encryption without authentication (e.g., AES-CBC, ChaCha20 alone). Always use AEAD modes (e.g., AES-GCM, ChaCha20-Poly1305).
Avoid inventing custom schemes. Use established libraries (e.g., Libsodium, OpenSSL) for KDFs and encryption.
Prioritize code audits for cryptographic implementations, as subtle flaws can compromise security.
While your PBE approach is theoretically viable, it introduces risks that often outweigh its benefits unless encryption at rest is explicitly required. Stick to hashing for most use cases.
Use my tool, code on Go^ work witch last release 3.77: https://github.com/Chased/nexus-cli
Cancelling a Mono or Flux is possible if the subscription was made via subscribe(), but in that case you need to explicitly manage Subscription.
If you are using Netty's Reactor (which is usually the case with WebClient.create()), then canceling the request (dispose() or cancel()) does not immediately break the connection, but allows the connection pool to reuse it.
If all entries are in the strict format 'M2 USD … BITC … MAD … LOSS …', where the BITC-value is always the fifth part, you can try using a simple split:
SELECT SUM(SPLIT_PART(value, ' ', 5)::float) AS bitc_sum
FROM TABLE(FLATTEN(INPUT => data))
Where data is your array with the values from the question.
Since window.setInterval is returning a number (see http://developer.mozilla.org/en-US/docs/Web/API/Window/setInterval#return_value) we can safely cast it to number :
let onSizeChangeSetInterval = setInterval(() => {...}, 30) as any as number;
That way we can avoid any server side issues, and get rid of the Typescript error.
The main problem was that I put the claims in the JwtAuthenticationToken, but my OAuth2 client and resource server were in the same app with OIDC authorization and so the problem was solved after I put and view the claims from the OAuth2AuthenticationToken
To download the dependency, maven will need a version tag. This would be the most recent version:
<dependency>
<groupId>com.playtika.reactivefeign</groupId>
<artifactId>feign-reactor-spring-cloud-starter</artifactId>
<version>4.2.1</version>
</dependency>
As mentioned by @rzwitzerloot, if you wanted to deal with the cause of the issue, you'd have to rewrite this in a reactive way, passing in success and failure callbacks to the token validation.
That may be a nontrivial rewrite, so you might want to first establish whether thread starvation is a relevant issue in your specific setup.
If you prefer the blocking style, you might get similar performance and eliminate starvation by using virtual threads.
I think we should use:
MediaQueryData.fromView(View.of(context));
Just in case not using it at all then just remove that plugin from eclipse, Quick to focus on important tasks. :-)
This worked for me:
import nltk nltk.download('punkt_tab')
pip install tokenizers
i know i am 9 years late , but consider moving from x to (3x + 1)/2 if x is odd insted of moving to (3x +1) because 3x + 1 will always be even if x is odd like that you will do less steps
You can use this API in Rapidapi to get accurate values for RSI, Bollinger bands, MACD, EMA, SMA and 20+ indicators
https://rapidapi.com/arjunravi868/api/crypto-technical-analysis-indicator-apis-for-trading
Thank you! This was exactly what I needed (simply adding "cidr" to the path expression field). I don't have the "reputations" to give you a vote though.
In case this helps anyone. I'm running Jenkins locally on Windows with JDK21 and had this issue. You need to remember to open the command prompt as administrator ('Run as administrator') before starting Jenkins with a command like:
java -jar jenkins.war --httpPort=8081
| |
| 🔥 UNDER 25 APP LOGO [⚡] |
| |
| 🍕 25 |
| (Pizza slice with fiery "25" stamp) |
| |
| DELIVERING |
| UNDER 25 MINUTES |
| (Bold 3D text with motion blur lines) |
| |
| Neon gradient triangles ▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴▴
| |
| @e/nithin234 (graffiti-style tag) |
|_________________________________________________________|
If you are willing to type in the first two values manually then the following formula in A3 should work:
=A1*1.5
This can happen because of the termination of firebase client, If you are using a secondary firebase app with multiple configuration depending upon environments you need to check if the client is already terminated somewhere else before initialisation of new firebase app.
Note- Firebase app termination is a async call.
Here are Easy steps to integrate scrollview in iOS storyboard
Steps:
For live video watch: https://www.youtube.com/watch?v=nvNjBGZDf80
Icecream flover water% making Milk+flower
Safest way of impersonating another user: (safest because it avoids loading his startup scripts which may contain harmful code)
sudo -u somebody sh
cd
You can create a composable for this grid item to use everywhere without duplicating code:
@Composable
fun GridContentItemWithDivider(
index: Int,
columnCount: Int,
content: @Composable () -> Unit
) {
val isLastColumn = (index + 1) % columnCount == 0
Row(Modifier.height(IntrinsicSize.Min)) {
Column(
modifier = Modifier.weight(1f),
horizontalAlignment = Alignment.CenterHorizontally
) {
content()
HorizontalDivider()
}
if (!isLastColumn) {
VerticalDivider()
}
}
}
and use like this:
val columnCount = 3
LazyVerticalGrid(
modifier = modifier.fillMaxSize(),
columns = GridCells.Fixed(columnCount),
) {
itemsIndexed(uiState.myitems, key = { _, item -> item.id }) { index, item ->
GridContentItemWithDivider(
columnCount = columnCount,
index = index
) {
MyItem(item = item)
}
}
}
I had the same problem.
When I disabled the "Avast" antivirus for 10 minutes, "composer" installed just fine.
You can use this API in rapid API to get accurate realtime values for RSI, Bollinger bands, MACD and 20+ indicators
https://rapidapi.com/arjunravi868/api/crypto-technical-analysis-indicator-apis-for-trading
As per recent versions of Jupyterlab (my guess: after version 4.0, released in June 2023), the solution by @waddles is broken due to the switch from Mathjax 2 to Mathjax 3, see version Jupyterlab 4.0 announcement.
Running the proposed code cell
%%javascript
MathJax.Hub.Config({
TeX: { equationNumbers: { autoNumber: "AMS" } }
});
yields a Javascript Error: MathJax.Hub is undefined.
I looked at MathJax 3.2 doc which says that equation numbering should be activated by the following javascript code:
window.MathJax = {
tex: {
tags: 'ams'
}
};
I've tried to implement this in a Jupyterlab code cell
%%javascript
window.MathJax = {
tex: {
tags: 'ams'
}
};
and it runs without error.
However, the following Markdown cell doesn't work (doesn't work in the sense that 1) the equation is not numbered and 2) the reference is replace by (???)):
Here is equation number \eqref{eqa}:
\begin{equation}
\label{eqa}
a=1
\end{equation}
So I don't know what is the solution of Jupyterlab 4.0+...
You can just use a tag like this
<template>
<div>
<a :href="url" target="_blank">Open Link</a>
</div>
</template>
<script>
export default {
data() {
return {
url: 'https://example.com'
};
}
};
</script>
You can also change the target attribute to use variable or props
With Rails 8, I integrated my helper to a class by
placing it under the app/helpers directory (app/helpers/number_helper.rb)
calling it as such from the class:
class MyClass
helper NumberHelper
...
end
The following works (thanks to a hint from @cafce25):
#![allow(unused_variables)]
use polars::prelude::*;
fn main() {
println!("Hello, world!");
let mut df = df! [
"names" => ["a", "b", "c"],
"values" => [1, 2, 3],
].unwrap();
println!("{:?}", df);
let old_name = df.get_column_names_str()[0].to_owned();
let new_name = <PlSmallStr>::from_str("letters");
let _ = df.rename(&old_name, new_name);
println!("{:?}", df);
}
WebClient is thread-safe and does not require explicit closing, as it is managed by Reactor Netty. There is no need to close it unless you are using custom resources.
Connection management in Reactor Netty: If you are using the standard WebClient, resources and connection pool are managed automatically. For custom resources, such as ConnectionProvider, they must be closed manually when the application is terminated.
Recommendations for long-lived applications: For Telegram bots, create one instance of WebClient, reuse it, and configure connection parameters via ConnectionProvider if necessary.
Your code isn't working because you used turtle.done() inside the movement functions, which stops the program after the first key press. Also, screen.onkeypress(None, key) disables the keybinding, so the keys stop working after one use. To fix it, remove both of these lines and make them simple by movement functions using pen.setx() and pen.sety() instead of getting and setting positions manually.
Regarding Quarkus.io/guides/all-config : https://quarkus.io/guides/all-config#quarkus-vertx-http_quarkus-http-host
In dev/test mode this defaults to localhost, in prod mode this defaults to 0.0.0.0 As an exception, when running in Windows Subsystem for Linux (WSL), the HTTP host defaults to 0.0.0.0 even in dev/test mode since using localhost makes the application inaccessible.
It means that even if it displays "Listening on: http://localhost:9080", Quarkus actually binds all interfaces
Sometimes, it seems, one needs to spend time to ask the question in order to find the answer themselves...
I tried a final search, and it seems that, even though Waffle 3.5.0 is from very recently, it is not upgraded to work with Java 17. Instead, there is a separate depencency called "waffle-jna-jakarta" that works with jakarta instead.
I guess the regular Waffle for javax.servlet is still updated for posterity.
<dependency>
<groupId>com.github.waffle</groupId>
<artifactId>waffle-jna-jakarta</artifactId>
<version>3.0.0</version>
</dependency>
was the answer.
I'm having the same problem. I don't know if it's unsupported or not. But the way I solve it is to create a normal node in between 2 map-reduce sections and it works!
Use alpinejs-xcomponent
https://github.com/lmanukyan/alpinejs-xcomponent
<script src="https://unpkg.com/[email protected]/alpine-components.min.js"></script>
<script defer src="https://unpkg.com/[email protected]/dist/cdn.min.js"></script>
<div x-data="{
countries: [
{name: 'Russia', area: 17098246, population: 146150789},
{name: 'Canada', area: 9984670, population: 41465298},
{name: 'China', area: 9596960, population: 1408280000},
{name: 'United States', area: 9525067, population: 340110988},
{name: 'Brazil', area: 8510346, population: 212583750}
]
}">
<table border="1">
<tr>
<th>Name</th>
<th>Area</th>
<th>Population</th>
</tr>
<template x-for="country in countries">
<tr x-data="template('country-item')" x-bind="bind" x-model="country"></tr>
</template>
</table>
</div>
<template id="country-item">
<td x-text="props.name"></td>
<td x-text="props.area"></td>
<td x-text="props.population"></td>
</template>
It 2025 and still sees javascript objects naming with first letter being capital, it not a problem for many but very disastrous to beginners studying javascript. The language is too dynamic, enabling misunderstandings all over. As in contrast to c++, you gain complete understanding of how objects behave.
Method 1
Add the following code to your theme's functions.php file...
add_action('template_redirect', function() {
$urls_to_404 = [
'/example-page/', // Replace Url
'/example-page 2/',
];
$current_url = $_SERVER['REQUEST_URI'];
foreach ($urls_to_404 as $url) {
if (trailingslashit($current_url) === trailingslashit($url)) {
global $wp_query;
$wp_query->set_404();
status_header(404);
nocache_headers();
include(get_query_template('404'));
exit;
}
} });
Method 2
Using a Redirect Plugin Install "Redirection" plugin. Go to Tools > Redirection. Add a new redirect:
Source URL: /example-page/
Target URL: 404 (select "Do nothing" and check "404 Not Found").
Plugin Url
https://wordpress.org/plugins/redirection/

Update: Poetry >2.0 now supports PEP standard project settings in pyproject.toml
Check out:
The easiest solution would be to use https://github.com/freedomofpress/dangerzone - it basically renders input PDF (or makes it PDF first if necessary) and than output rendered pixels as new PDF.
The upside - no JS and other crap can survive the process. The downside - you loose clickable links, copyable text etc.
I'm having the exact same issue as the OP, only I don't have a .pnp file anywhere. What is that file exactly? Is it related to PNPM, Yarn, etc?
Don't use unsafe inline at all; rather put all js and css into separate files, then use script and style src as self.
If you need any external css or js, then add these links to your CSP. It's safer. Also avoid putting JavaScript like onClick and such in your HTML code. Just put an ID and do it in an external js.
Refer to the docs: https://github.com/sidekiq/sidekiq/wiki/Using-Redis
You must either set REDIS_URL env variable to the url of the redis instance, or set the variable REDIS_PROVIDER to the name of the variable containing that url, e.g.: REDIS_PROVIDER=REDISCLOUD_URL
Another open source project. Tested in 2025 with https. Very simple : only one php file, less then 400 lines of code.
The advantage of this project is that it proxifies recursively the resources within web pages (images, css, scripts)
Getting an error on the ingErrors,displin (the error is on the comma) in the cmd. Any ideas?
Addition to @jcomeau_ictx 's answer,
classes: $(SOURCES)
javac -d obj \
-cp $(ANDROID) \
src/com/example/hello_world/*.java
would result in clean output.
I am not well versed in java, but after reading java docs, I am able to interpret that -bootclasspath option is depreceated in JDK 9+
--boot-class-path path or -bootclasspath path Overrides the location of the bootstrap class files. Note: This can only be used when compiling for releases prior to JDK 9. As applicable, see the descriptions in --release, -source, or -target for details. For JDK 9 or later, see --system.
Why -classpath works?
--class-path path, -classpath path, or -cp path Specifies where to find user class files and annotation processors. This class path overrides the user class path in the CLASSPATH environment variable.
Since we need to use android.jar, we can add it to classpath and let JVM know that android package exists.
Note: My explanation may not be correct or well explanatory since I am new to java and android
References:
It seems that your Vault is overriden by Git.
Try this in your application.yml:
...
spring:
...
cloud:
config:
allowOverride: false
overrideNone: true
...
Im having the same issue the closest ive come is manually running in terminal but for me it dosent even work in PyCharm
If I understand your question correctly this can be easily done by double clicking on the data band. A popup should appear with a box labeled 'Number of Records' to the desired number of records. This is using Fastreport VCL but I would expect Fastreport FMX would work the same.
Unfortunately at the time of this writing (2025-02-24) Central Package Management (CPM) does not support the old style csproj, so in essence .NET Framework projects are not supported.
Which environment are you using for your chatbot? Your tenants default environment or a extra environment for your chatbot and associated flows?
No need for explicit closing: WebClient is thread-safe and does not require explicit closing, as it is managed by Reactor Netty. There is no need to close it unless you are using custom resources.
Connection management in Reactor Netty: If you are using the standard WebClient, resources and connection pool are managed automatically. For custom resources, such as ConnectionProvider, they must be closed manually when the application is terminated.
Recommendations for long-lived applications: For Telegram bots, create one instance of WebClient, reuse it, and configure connection parameters via ConnectionProvider if necessary.
In order not to use floats and not to clear the float, you can apply the margin. This will work with old CSS versions as well.
table {
width: auto;
margin-left: auto; /* This pushes the table to the right */
margin-right: 0;
}
Once you find it is easy:
Just don't select the word you want to find. Put the cursor in it, then search. The whole word will still be searched for but the checkbox remains blank:
Drizzle ORM does not work at runtime on Cloudflare Pages but works on Vercel Cloudflare Pages (Edge Runtime): Limitations of Edge Runtime: Cloudflare Pages deploys your API routes and Server Actions as Edge Functions (Cloudflare Workers). These workers run in an environment that does not support many Node.js APIs such as:
fs (file system access) net (TCP connections) Drizzle ORM relies on these modules to load migration files and establish direct database connections. Therefore, if you try to use Drizzle ORM for runtime queries on Cloudflare Pages, you will encounter errors because the necessary Node.js modules are missing in the Edge Runtime.
What You Can Do Instead:
Schema Management: You can still use Drizzle ORM locally for schema management and migration generation. Use drizzle-kit to generate and apply migrations to your Supabase database. Database Queries at Runtime: Since direct database connections via Drizzle are not feasible on Cloudflare Pages, you should use the Supabase REST API (or another compatible edge-friendly adapter like Prisma Data Proxy) to perform runtime queries. This allows you to interact with your database without relying on Node.js-specific modules. Vercel (Node.js Runtime): Full Node.js Support: Vercel’s default runtime for API routes and Server Components is the Node.js Runtime, which supports all Node.js modules (including fs, net, etc.). This means Drizzle ORM can be used for both schema management and runtime queries on Vercel without encountering the limitations present in Edge Runtime environments. Developer Experience: With Vercel, you benefit from full support for Node.js APIs, making it straightforward to use ORMs like Drizzle ORM for type-safe, direct database access in your Next.js application. Summary: Cloudflare Pages:
Runtime: Edge Runtime (Cloudflare Workers) Issue: Lacks Node.js modules like fs and net required by Drizzle ORM Workaround: Use Drizzle ORM for migration/schema management only; for runtime queries, rely on the Supabase REST API or an edge-compatible solution like Prisma Data Proxy. Vercel:
Runtime: Node.js Runtime Advantage: Full Node.js API support allows you to use Drizzle ORM both for migrations and runtime database queries. In short, if you plan to deploy on Cloudflare Pages, you won’t be able to use Drizzle ORM for runtime operations due to the limitations of the Edge Runtime. You can still use it for managing your schema, but for data queries you'll need an alternative approach. Conversely, deploying on Vercel provides a Node.js environment where Drizzle ORM works as expected.
I tried the solution, but changing the type and the daemonize does not resolve the problem. I tried a lot of different ways but the error still persists. Then I ran the pkill -f frappe-bench command and the error was resolved. I believe this would be helpful.
I closed visual studio code and re-opened it and that solved the problem. I am not sure why it happened in the first place but probably due to some command in the shell script I was writing and debugging,
You should update minSdk with higher version. Follow this path to find build.gradle file.
android>app>build.gradle. then update the minSdk with higher version
defaultConfig {
applicationId = "com.example.project_name"
minSdk = 29
targetSdk = flutter.targetSdkVersion
versionCode = flutter.versionCode
versionName = flutter.versionName
}
For find latest sdk versions, use this link.
A solution you might try is, go to:
Home > Tools & Settings > Server-wide mail settings > Settings
Limitations on outgoing email messages
The following limits are default. They can be overridden in each service plan and subscription. The limits do not work server-wide, but act as a template for the plans and subscriptions for which no custom limits were specified. Note that switching on the limitation of outgoing email messages can affect the mail server performance. Learn more about limiting outgoing mail
Disable this: Turn on limitations on outgoing email messages
thanks to everyone who has helped me.
It actually turned out that the ffmpeg release I installed as an update did not contain the libmp3lame. To fix this, I had to download an alternative release and after deleting the old installation folder, install it in a new folder and set the system path variable again. Simply putting the new release of ffmpeg in the old installation folder did not work, strangely enough. Ffmpeg then insisted that libmp3lame was not installed...
In short, now everything works as it should.
Besides setting the font size with jtable.setFont(jtable.getFont().deriveFont(size)), you also need to set the row height. I find that the font size + 4 works well: jtable.setRowHeight((int) size+4).
We have encountered a similar situation in our projects. All other compilation flags, except for fortify, produce the expected checksec output.
If anyone is interested in verifying whether it works as expected, we have a Minimal, Verifiable, Complete Example (MVCE) available here: Stoppable_MVE
It makes use of memcpy and memmove, which should be fortifiable functions.
The compiler settings file can be found at: compiler_settings.cmake
I'm not sure why this fixing the issue and it makes no sense to me whatsoever but i set the default database back to master.
I added a USE MyDB before the stored procedure and it works now.
Use MyDB
Go
Exec MyProc
I've managed to fix this by going to settings.json and adding the following line:
"terminal.integrated.inheritEnv": true
Restart vscode and you will be good to go.
Before installing new project just use this 2 console commands:
gem uninstall concurrent-ruby
gem install concurrent-ruby -v 1.3.4
Then u can easily install your new project and add specific version of this gem in Gemfile.
It might be due to some technical error that arose due to some coding issues that were not able to pass the test case. Most of the game development company in UAE have never faced this issue this is possible due to the expert team who has years of experience in developing the games as well as expertise in the latest unreal game development tools.
You can go to "Settings/Preferences > Editor > General> Appearance" option, and disabling the annoying option (s) should do the trick.
Note : The interface might differ slightly if you are on Windows.
Okey, problem solved! Python was looking at the local installation of Scipy before looking to the environment installation, raising a dependencies problems. To solve it, you can uninstall Scipy from the local machine (pip uninstall didn't work for me, so I manually remove it from ~/.local/lib/python3.9/site-packages/) or avoid python looking at the local installation with bash export PYTHONNOUSERSITE=1
The filter model gets reset to null when using string mode (not sure why). Try turning of strict mode and see if that solves the issue.
In PrimeReact for the tree component there is an option to set the selectable property for each node
Not finding a solution, I approached it differently. I created a new endpoint, /mon-compte/vouchers/download. I pass the current language in the arguments of the download button on my /en/mon-compte/voucher page. I handle the click with JS, then send it to the new download endpoint, which is managed in store default language. I retrieve the language passed in the arguments, and this way, I return the corresponding PDF without worrying about the translation plugin
Check out this sample. Here i used only html and css. Menu will open on click and collapse
[https://codepen.io/kuttisenthil/pen/wBvWOGv][1]
When using the Scanner class in Java, one common issue arises when you read an integer followed by a string. This often leads to the string input being skipped. The reason for this is that after you read an integer, there's a newline character left in the input buffer, which can interfere with subsequent inputs.
To solve this problem, you should always follow up your integer input with a call to nextLine(). This method consumes the leftover newline character before you read the string. In simple terms:
Following this approach will help ensure that both your integer and string inputs are read correctly. If you keep these steps in mind, you should be able to avoid any input issues. If you have more questions, feel free to ask!
words = input().split(" ")
for word in words:
word_count = 0
for word2 in words:
if word2.lower() == word.lower():
word_count += 1
print(f'{word} {word_count}')
Here is my solution. no imports just a simple nested loop.
Final solution was removing catch all template:
template <EventId_e EventId, typename... Args>
static void Log(Args... args) {
LogMessage(static_cast<Args>(args)...);
}
And using this type of template for every ID:
template <EventId_e EventId, typename std::enable_if<EventId == EventId_e::EventId_OverVoltageWarning, int>::type = 0> void Log(uint16_t MaxCellVoltage, uint16_t MinCellVoltage, int16_t PeakCurrent) { LogMessage(MaxCellVoltage, MinCellVoltage, PeakCurrent); }
I added
pip3 install pysnmplib
which seems to have fixed it.
The Spring WebFlux is thread-safe and designed to be reusable. However, since it uses Reactor Netty under the hood, it is important to consider resource management, especially in long-lived applications.