I almost know where your bug is, but, unfortunately, you did not show your code sample with that bug. Let's do the following: I'll show you a completely working code sample, so you can compare what's missing.
But I know from experience that the most typical bug here is an incorrect enum definition: missing or incorrect DataContract attribute, missing [EnumMember] attribute, or both. For some reason, you did not show it. Ah, yes, I can see from your exception information that [EnumMember] is missing. Okay, that explains your problem.
Would you like to check it? Please see:
namespace DataContracts {
using System.Runtime.Serialization;
using FileStream = System.IO.FileStream;
using FileMode = System.IO.FileMode;
static class DefinitionSet {
internal const string dataContractNamespace = "https/www.my.site.org/contracts/demo";
internal const string filename = "demo.xml";
} //DefinitionSet
[DataContract(Namespace = DefinitionSet.dataContractNamespace)]
enum ConditionType {
[EnumMember] Excellent, [EnumMember] Good,
[EnumMember] Fair, [EnumMember] Bad,
[EnumMember] StackOverflowQuestion, }
[DataContract(Namespace = DefinitionSet.dataContractNamespace)]
class Demo {
[DataMember] // doesn't have to be public
public ConditionType Type { get; set; }
}
static class DataContractDemo {
static void TestSerialization() {
DataContractSerializer dcs = new(typeof(Demo));
dcs.WriteObject(new FileStream(
DefinitionSet.filename,
FileMode.Create),
new Demo());
} //TestSerialization
static void Main() {
TestSerialization();
} //Main
} //class DataContractDemo
}
So, make sure you fix your enum definition. It should fix your problem unless you have bugs in other Data Contract types or member definitions. Please let us know if it fixes your problem and accept the answer unless you have other problems or further question.
Reasons:
Blacklisted phrase (1): StackOverflow
RegEx Blacklisted phrase (2.5): Please let us know
You Lambda resides within a VPC, so it doesn't have a direct connection to the internet. and S3 is an external service. Without the internet access, your Lambda hangs becaues it cannot reach S3.
Other service can work out without any issue because AWS offers VPC endpoint, however S3 requires an additional steps if your Lambda resides in the VPC.
To solve this out you need to:
Add an S3 VPC Endpoint
• Create an S3 VPC Endpoint in the VPC where your Lambda function runs.
• This allows your Lambda to connect to S3 privately without needing internet access.
or
Use a NAT Gateway or NAT Instance
• If you want your Lambda to have full internet access, deploy a NAT Gateway or NAT Instance in a public subnet.
• Ensure your Lambda’s private subnet route table points to the NAT gateway for internet traffic.
I ended up trying lots of stuff, checking llvm ir from different c programs with variadic functions, clever chat gpt prompts and managed to fix the issue by appenind , i32 128 at the %.va_list:
The working println function code is:
define void @println(i8* %a, ...) {
entry:
%.va_list = alloca i8, i32 128 ; here is the appended alignment
call void @llvm.va_start(i8* %.va_list)
call void @vprintf(i8* %a, i8* %.va_list)
call void @printf(i8* @.str_3)
call void @llvm.va_end(i8* %.va_list)
ret void
}
Using the comma operator helps you to chain multiple conditions.
It's not just about the if statement, you can use it in the variable definition or function calls.
Yes you need to go to fullscreen mode, and click on the tab on the chart (show indicators legend)
Then simply remove the strategies one by one.
Good luck
val intent = Intent(Intent.ACTION_VIEW)
.apply {
data = Uri.parse("mimarket://details?id=com.example.android&back=true|false&ref=refstr&startDownload=true")
}
Some code of idk what language but this is the answer to it
I think that some additional configuration may be required. See this article (supabase + springboot) on their suggestions regarding SSL and connection pooling. Hope it helps.
i am Unable to use non headless mode using selenium webdriver on render deployment in my local machine its properly working, this is my code please tell me how to work-
Answering your questions, yes everything is compiled in to the remoteEntry.js and then you load that into another frontend (shell, or parent). Usually this file gets created by your compiler (webpack + babel). For development you will usually have a hot reload for webpack and that will basically regenerate your build during dev.
Presence of NAT is independent of mode. The NAT presence is identified in 3&4 the packet in main mode, 2 and 3rd packet in quick mode.
May be this article can help you: https://takethenotes.com/nat-traversal-in-the-ike/
I ran into the same issue with Postgres. I've rolled back my EF assemblies to 8.0.11 as well, and everything's working again. Guess we'll just have to keep an eye on the packages in the next few weeks to see if they fix it.
Writing it here if anyone else has a similar problem- me and the development team changed the “run env” file to not have consts- but have functions that return the env variables. –
I think the problems were 1. mouse-over needs to be rather precisely on the text in the facet strip - here a single letter, 2. in the original code, data_id = facet was part of the global aestethics, but it seems it needs to be placed inside labeller_interactive to make the facets interactive
In general, there is a cool solution. 1. Variables on the server side are transmitted as needed and at the time of the build of the nextjs server side they are available -> we make the upper-level components server-side (without using 'use client') -> we take the necessary variables from the environment and drill our component in which we already set the values of the inputs on the client or in another way
I know this is an old question. You might have already figured it out. Anyway, I found it in "/opt/homebrew/Cellar/odin/2024-11/libexec/vendor" if you installed with brew, of course.
Fixed Code:
`from googletrans import Translator
# Input for source and target languages
translate_from = input("Translate from (e.g., 'en'): ")
translate_to = input("Translate to (e.g., 'bn'): ")
# Input for text
translate_text = input("Enter text to translate: ")
# Translate the text
translator = Translator()
translation = translator.translate(translate_text, src=translate_from,
dest=translate_to)
# Print the result
print("Translation:", translation.text)
Input
Translate from (e.g., 'en'): en
Translate to (e.g., 'bn'): bn
Enter text to translate: Hello, how are you?
The issue you’re encountering with the MudTooltip not updating its position after scrolling is likely due to the way the tooltip is positioned on the page. Tooltips often use absolute positioning based on their initial rendering position, which can lead to the behavior you're describing in certain scenarios.
Possible Solutions
Check for Updates in MudBlazor
Ensure that you are using the latest version of MudBlazor. Older versions might have bugs or lack features that handle tooltip repositioning correctly. Update MudBlazor and test again.
Enable Tooltip Repositioning on Scroll
MudBlazor tooltips should automatically reposition themselves when the page scrolls. However, in some cases, especially in InteractiveServer mode, this behavior might require manual adjustments. To force the tooltip to recalculate its position after scrolling, you might need to trigger a re-render or ensure it is configured correctly.
Workaround Using CSS or JavaScript
If the above doesn’t resolve the issue, you can ensure proper tooltip positioning with a workaround:
CSS Approach: Avoid tooltips being affected by scrolling. Use position: fixed in your custom CSS for the tooltip container.
JavaScript Approach: Use a JavaScript interop to notify MudBlazor to reposition the tooltip on scroll. For example, you can listen to the scroll event and trigger a re-render or reposition function.
Alternative MudTooltip Settings
Try tweaking the MudTooltip settings to see if they influence the behavior:
Use AutoClose or ensure the tooltip updates dynamically.
Experiment with Delay, Placement, and Offset to minimize potential conflicts.
5. Fallback to a Custom Tooltip
If the issue persists and cannot be resolved using MudBlazor's built-in tooltip, you can implement your own tooltip using basic HTML and CSS for more control.
1. Modify SEOURLPatterns.xml with Care
Adjust the patterns to remove /LanguageToken/StoreToken while ensuring that default values are passed where required.
Update the defaultValue attributes in the <seourl:paramToUrlMapping> section:
<seourl:paramToUrlMapping>
<seourl:mapping name="LanguageToken" value="?langId?" defaultValue="en"/>
<seourl:mapping name="StoreToken" value="?storeId?" defaultValue="clientstorename"/>
<seourl:mapping name="CatalogToken" value="?catalogId?" defaultValue="defaultCatalogId"/>
</seourl:paramToUrlMapping>
Ensure that the removed tokens are mapped to backend defaults where needed.
2. Update the SEO URL Mapper
Extend or override the default SEOURLMapper class to handle custom URL parsing and mapping.
Example: Intercept and rewrite URLs dynamically in the mapRequest or resolveURL methods.
public class CustomSEOURLMapper extends SEOURLMapper {
@Override
public void mapRequest(HttpServletRequest request, HttpServletResponse response) throws Exception {
String requestURL = request.getRequestURI();
if (requestURL.contains("/en/clientstorename")) {
String newURL = requestURL.replace("/en/clientstorename", "");
response.sendRedirect(newURL);
} else {
super.mapRequest(request, response);
}
}
}
3. Update Struts or Servlet Configuration
If direct XML changes don’t resolve the issue, configure Struts actions or servlet filters to map incoming requests without /en/clientstorename to the appropriate views.
4. Debugging and Testing
Enable detailed logging in WebSphere Commerce by updating the logging.properties file or enabling verbose trace logging in the admin console.
Look for errors or unhandled exceptions in the mappings and validate backend service calls.
5. Alternative Approach Using URL Rewriting
Add URL rewriting logic in a servlet filter to remove /en/clientstorename and forward the modified request to the backend:
public class URLRewriteFilter implements Filter {
public void doFilter(ServletRequest req, ServletResponse res, FilterChain chain)
throws IOException, ServletException {
HttpServletRequest httpRequest = (HttpServletRequest) req;
String requestURL = httpRequest.getRequestURI();
if (requestURL.contains("/en/clientstorename")) {
String newURL = requestURL.replace("/en/clientstorename", "");
req.getRequestDispatcher(newURL).forward(req, res);
return;
}
chain.doFilter(req, res);
}
}
Based on your explanation it seems like you don't need:
RANGE BETWEEN INTERVAL '60' SECOND PRECEDING AND CURRENT ROW
Or am I missing a requirement here?
If you eliminate this in your query, it will compute the running total per row it sees, despite the duplicates.
SELECT timestamp, SUM(volume) OVER (
PARTITION BY ID
ORDER BY timestamp
) AS total_volume
FROM YourTable;
There isn't enough information here to know exactly what your problem is. You haven't provided a stacktrace or exception, or specified whether the issue is with the bot, downloading from instagram, digital ocean, or something else.
That said: If the issue is downloading from Instagram, it's very likely that Instagram is identifying your connection as coming from a cloud provider and blocking it. Changing your IP address in DigitalOcean would not be enough, because you would need to be coming from an IP which is not a cloud provider's. Using a different library for downloading data from instagram, or even implementing it yourself, would not avoid this issue.
You would need a VPN, or at least to proxy your requests through a host that is not identifiably a cloud provider.
If you have Impulse-Responce system in binary mode: either "switch-on"-regime or "switch-off"-regime - it's enough to define only these 2 regimes in filter. If you want to make them big (as you mentioned in OP) simply do:
import numpy as np
from scipy import signal
import matplotlib.pyplot as plt
from scipy.ndimage import gaussian_filter
You mention you have indexes on the id of each table but do you have indexes on the foreign keys (a_id, b_id) in your example?
And do you have and index for the column you use in the query if it is a common search?
Your benchmarking results are consistent with the reality of how Python handles these operations. While f-strings are known for being efficient in many cases, they do not inherently optimize string concatenation operations that involve slicing or combining strings.
Why String Addition Can Be Faster in This Case
String Addition (+):
String concatenation using + is straightforward: Python internally allocates enough memory for the resulting string and directly appends the components. When the strings involved are simple slices (a[:2], b, a[2:]), this operation is quite efficient.
For your specific case, the + operation avoids extra formatting steps, directly performing the concatenation.
F-Strings (f'{a[:2]}{b}{a[2:]}'):
F-strings are powerful and flexible, but they involve formatting logic under the hood. Python first evaluates the expressions inside the {} brackets, then formats them into a single string.
This added layer of processing (especially evaluating multiple slices like a[:2] and a[2:]) introduces overhead that makes f-strings slower than + concatenation in this particular scenario.
To Backup a database using pgAdmin4 (To get a data dump using a pgAdmin4):
Open pgAdmin 4 and connect to your server.
Select the database you wish to back up from the left sidebar.
Right-click on the database and choose Backup.
Specify the file path and name for the backup file in the Filename field.
Choose the format you want (e.g., Custom, Tar, Plain, Directory) from the format dropdown.
Click Backup
The Custom and Tar formats save the backup in binary SQL, which is more suitable for restores involving more complex data types and faster restoration.
I figured out the issue I was facing on iOS, and it was caused by the new architecture being enabled by default with React Native. Apparently, it creates compatibility issues with certain modules, especially those related to Hermes or other specific configurations.
To resolve this, I had to disable the new architecture on iOS by using the following command:
RCT_NEW_ARCH_ENABLED=0 pod install
After running this command, everything worked perfectly again. If anyone else is having the same issue, give this a try! It really solved the problem for me.🆗
I wanted to put this out there. I ordered the Funky Chicken Kit and I tried to contact, My Fabric Addition. I received the kit and the squares not right. I did talk to Jean Fletcher and she sent another kit. I opened the kit and it was still wrong with less materials. WHY WOULD SOMEONE DO THAT? THANK YOU, for reading letter. Sincerely, Rachel Hass
That is indeed a possible answer, however in the above example it will return all the search results including C2, like references to cells C21, C22, C245, etc etc. I think the user above is missing the functionality that MS Excel offers, with the arrows showing immediately whether a cell is being used in another formula.
If there is any function like that in Google Sheets, I'd love to know, as well!
Check with npm ls @react-navigation/native or yarn list @react-navigation/native
. If there is duplication in dependency , for me it was something like
After a lot of scratching of head, I got it to work by simply using instead:
<dependency> <groupId>org.springdoc</groupId> <artifactId>springdoc-openapi-starter-webmvc-ui</artifactId> <version>2.6.0</version> </dependency>
But i think you if you understand street view in iframe embedded map, there is a pattern and if you are taking street view of any building,house , any local market, the angle of 3f! goes from 200 to 310 and 210, 303 ,279 are mostly used, Please check the format ,then you understand what i am saying, and give user multiple street view,let him decide hy his own.
I think your goal in this question is clustering nodes and getting each cluster from node object. also each cluster has multi nodes but every node has just one cluster. but the the aggregating is not for this application. it is for "has one" relationship.
For doing this you can define a singleton class and save every cluster in it. next you need to add a function to get each cluster by it's id. also you must save cluster id in each node too.
I hope this works for you.
Those who are wondering why all these solutions are working for others and not for you.. let me tell you just turn on disable permission monitoring and restart your device. And as soon as your device restarts just run your permission grant command. This worked for me :-)
Please what if I have an html file, How do you make sure that this is rendered at the appropriate position. A situation whereby I have a whole web page to be placed inside the editor, within the webpage there are custom designed images. My challenge is how to place the customBlot in the proper position while other tags used the embedded quill blot. Is it something that is possible to achieve?
For instance, I want to get the thumbnail of a video inside the video tag. I want the thumbnail to be render in the position of the video tag; whenever I place the html inside the editor.
The code runs in O(1) time, and rep bsf is not a loop, it is a single instruction that runs in a fixed amount of time. The compiler chose this implementation because there is no std::countr_zero counterpart on x86, so bsf is used to get the first bit set
The best solution for your problem is closures.which helps to return the function from the function and the inner function stores the value of the variables of outer function without regards of function call.
This fibonacci function is written using closure to generate the Fibonacci series by just calling the function without storing the variables curr , prev in global scope.
function fibonacci() {
let prev = 1, curr = 1;
return function () {
const next = prev + curr;
[prev, curr] = [curr, next];
return prev;
};
}
let next_fibonacci = fibonacci();
for(let i=1; i <= 5;i++){
console.log(next_fibonacci());
}
If you don't know about closures then go and refer closures
Your gradle files are corrupted
Enter this path to solve this problem
user/{user}/.gradle/wrapper/dists
And delete your Gerdle folder so that Android Studio downloads the Gerdle files again to solve the problem
By visiting this site you can see your report. Anyone with your powerbi credentials can see the report. Also if you want to embed the report in your personal website can do this by using embedded token.
SELECT
usertype,
CONCAT(start_station_name, " to ", end_station_name) AS route,
COUNT(*) AS num_trips,
ROUND(AVG(CAST(tripduration AS INT64) / 60), 2) AS duration
FROM bigquery-public-data.new_york.citibike_trips
GROUP BY
start_station_name, end_station_name, usertype
ORDER BY
num_trips DESC
LIMIT 10;
To dynamically change the color of a button in a Lightning Data Table row, you need to update the data associated with the row and reassign it to the data property of the lightning-datatable. This involves updating the buttonColor field of the clicked row.
Here’s how you can achieve this:
Ensure each row in the data array has a buttonColor field. This field will control the variant of the button.
Update the buttonColor value of the clicked row in the onRowAction handler.
After modifying the data array, reassign it to trigger reactivity.
I did some further testing of the code that was suggested. On reflection it wasn't complete as per my original question. For that reason, I'm posting here the working code, which has been called a few times to prove it works in all possible modes (with basic arguments only - not a list as has been suggested will not work)
I found it fascinating that the redirect to tee needs a sleep 0 afterwards because the first command to echo will often do that prior to the tee being set up. I don't know how to wait only until that redirect is set before continuing.
The following code echos quite a bit to the various destinations, each echo is done via a method to ensure a unique sequential id. This was needed to confirm they are logged in the correct order.
The initial solution unfortunately has the bug my question has, that is log statements would be out of order. This is less neat because I need to bookend the block I want redirected to script_output.log with two statements rather than just wrap it in {}, but at least it keeps things as you'd expect from execution order.
#!/bin/bash
script_log="script_output.log"
process_log="output.log"
function store_output_redirects() {
exec 3>&1 4>&2
}
function redirect_all_output_to_file() {
exec 1>> "${script_log}" 2>&1
}
function clear_output_redirects() {
exec 1>&3 2>&4
}
#!/bin/bash
my_function() {
local pid_file=$1; logfile=$2
local tee_output="none"
if [ "$3" = "tee" ] || [ "$3" = "tee_console" ] ; then
tee_output=$3
shift
fi
cmd=("${@:3}")
log "console: inside function"
store_output_redirects
redirect_all_output_to_file
{
# this block is redirected to ${script_log}
log "${script_log}: inside redirected block"
if [[ "$logfile" = "console" ]]; then
# swap the output to the default (console)
clear_output_redirects
elif [ "$tee_output" = "tee" ] ; then
#clear_output_redirects
exec 1> >(tee "$logfile")
# insert a tiny time delay for the tee redirect to be set up (otherwise output will go to the previous destination).
sleep 0
elif [ "$tee_output" = "tee_console" ] ; then
clear_output_redirects
exec 1> >(tee "$logfile")
# insert a tiny time delay for the tee redirect to be set up (otherwise output will go to the previous destination).
sleep 0
else
exec >>"$logfile"
# insert a tiny time delay for the tee redirect to be set up (otherwise output will go to the previous destination).
sleep 0
fi
echo "$BASHPID" > "$pid_file"
if ! [ "$tee_output" = "none" ] ; then
log "tee: command to be executed with output to $logfile and console: ${cmd[*]}"
else
log "$logfile: command to be executed with output to $logfile: ${cmd[*]}"
fi
# this cannot be escaped as per shellcheck.net as error 'command not found' when not using tee.
${cmd[@]}
# reset the defaults for this block
redirect_all_output_to_file
log "${script_log}: end of redirected block"
}
clear_output_redirects
log "console: function ends"
}
function log() {
(( log_line = log_line + 1 ))
echo "${log_line} $*"
}
function print_log() {
local logfile="$1"
echo
if ! [ -f "$logfile" ] ; then
echo "log file $logfile does not exist"
else
echo Contents of "$logfile":
cat "$logfile" | while read -r logline
do
echo "$logline"
done
fi
}
function test_redirection() {
log_line=0
local cmd_log_file=$1; shift
local tee=$1; shift
[ -f "${process_log}" ] && rm "${process_log}"
[ -f "${script_log}" ] && rm "${script_log}"
log "console: Redirecting requested cmd output to $cmd_log_file"
log console: making copy of the stdout and stderr destinations
log console: calling function
my_function cmd.pid "$cmd_log_file" "$tee" echo hi
log console: stdout and sterr reset to the defaults for the next test
print_log "$script_log"
echo
print_log "$process_log"
}
echo "*****************************"
echo "** Testing output to console"
echo "*****************************"
test_redirection "console"
echo "*****************************"
echo "** Testing output to logfile"
echo "*****************************"
test_redirection "$process_log"
echo "*****************************"
echo "** Testing output to logfile and console"
echo "*****************************"
test_redirection "$process_log" "tee_console"
echo "*****************************"
echo "** Testing output to logfile and default"
echo "*****************************"
test_redirection "$process_log" "tee"
Any metric can be arbitrarily small. It's represented up to a certain decimal place, usually the 4th. That said, being it limited to the 4th decimal place, number smaller than 0.00001 are not visible in the logs. It's worth waiting a little bit while the training runs so the metric can accumulate up to larger, visible values.
If it's a custom metric, thoroughly review your implementation. Specially if the other metrics are logging values that make sense, you must re-asses your custom implementation. From a software engineering perspective, even better if a someone else can help you with it in a peer-review-like drill.
Whenever possible, stick to the "native", embedded metrics available in the package you are using. Once again, from a SE perspective, re-implementing well-known calculations or customizing whatever will inexorably add risk.
You did everything apparently correctly and the values are still non-sense: Be sure that you are using the metric to the purpose it was originally designed. For instance, F1 and Accuracy are typically label classification metrics (e.g: You are checking if the model predicts correctly if a football/baseball game should occur or be suspended/delayed). Scenarios where you want to predict a behavior (e.g: A curve) during a certain period of time is more likely a regression task. For regression tasks you want to know how far away from the ground truth you are, then you are more prone to use MAE and MRE, for example.
Get familiar with the data preprocessing and how exactly you are feeding your model: Do you need the normalization? Do you need clipping (clamping)? Should you convert/map the original input values to boolean (or 1s and 0s) representation?
Lexilabs has a Kotlin Multiplatform library that enables AdMob
@Composables called basic-ads.
The only downside is that it requires Android's Context to
initialize and build @Composables, but there's already a
tutorial out there for how to do that.
Lexilabs has a Kotlin Multiplatform library that enables AdMob
@Composables called basic-ads.
The only downside is that it requires Android's Context to
initialize and build @Composables, but there's already a
tutorial out there for how to do that.
Lexilabs has a Kotlin Multiplatform library that enables AdMob @Composables called basic-ads.
The only downside is that it requires Android's Context to initialize and build @Composables, but there's already a tutorial out there for how to do that.
ULID is not sorted correctly on MS SQL SERVER.
ULID is supposed to be sorted from left to right (left side is date)
If you create a table with uniqueidentifier and DateTime, and then insert data into it in chronological order (ULID and date created at the same time)
You will see that the dates are in random order.
Also, my tests with the benchmark showed that the insertion time has a large spread from 2 to 22 seconds for inserting 100_000 rows.
If you convert your ULID to string => nvarchar(26) then it will be sorted correctly.
Or use long as snowflake id.
