You use method .copy(), but string type objects has no such method (unlike lists or some others for example). You can simply write: metadata = raw_metadata because strings are immutable. Maybe, you wait raw_metadata got other type but string - it means you are wrong about the type you get by the lines raw_metadata = doc.get('metadata', {}) or raw_metadata = doc[1] if len(doc) > 1 else {} . Also if you use metadata = {} and the next reinit it by metadata = raw_metadata.copy() it will get a type of the last initiation. You can always check all types of your variables using print(type(your_variable) or use this check in code like if type(your_variable) == ...
Use Office.FileDialog component.
Based upon information from https://github.com/dotnet/runtime/issues/51252 and https://github.com/dotnet/designs/blob/main/accepted/2021/before_bundle_build_hook.md, using the newly proposed PrepareForBundle target, I have added the following to my .csproj file:
<PropertyGroup>
<!-- For all build agents thus far in Azure DevOps, that is, Windows 2019, Windows 2022, Windows 2025, this has been sufficient.
Instead of trying to dynamically construct something based on the Windows SDK version, which constantly changes for each build
agent, we will just use this hard coded value. Note, this is a 32-bit executable. But for our purposes, it has been fine. -->
<SignToolPath>C:\Program Files (x86)\Microsoft SDKs\ClickOnce\SignTool\signtool.exe</SignToolPath>
</PropertyGroup>
<Target Name="SignBundledFiles" BeforeTargets="GenerateSingleFileBundle" DependsOnTargets="PrepareForBundle">
<!-- Use String.Copy as a hack to then be able to use the .Compare() method. See https://stackoverflow.com/a/23626481/8169136.
All of the Microsoft assemblies are already signed. Exclude others as needed.
This is using a self-signed code signing certificate for demonstration purposes, so this exact SignTool command won't
work on your machine. Use your own certificate and replace the "code sign test" with your certificate's subject name. -->
<Exec Condition="$([System.IO.Path]::GetFileName('%(FilesToBundle.Identity)').EndsWith('.dll'))
And !$([System.String]::Copy('%(FilesToBundle.Identity)').Contains('packages\microsoft.'))
And !$([System.String]::Copy('%(FilesToBundle.Identity)').Contains('packages\system.'))"
Command=""$(SignToolPath)" sign /v /fd SHA256 /tr http://ts.ssl.com /td sha256 /n "code sign test" "%(FilesToBundle.Identity)"" />
</Target>
<Target Name="SignSelfContainedSingleFile" AfterTargets="GenerateSingleFileBundle" DependsOnTargets="SignBundledFiles">
<!-- Finally, sign the resulting self contained single file executable. -->
<Exec Command=""C:\Program Files (x86)\Microsoft SDKs\ClickOnce\SignTool\signtool.exe" sign /v /fd SHA256 /n "code sign test" "$(PublishDir)$(AppHostFile)"" />
</Target>
You can read more and see the result from this blog post:
What approach did you go with at the end?
I am asking myself this question for new navigation 3 lib...
AppNavigator in app module seems to be a must, but I think it is overkill to have FeatureXNavigator for every module.
I am leaning towards injecting AppNavigator to every composable (Screen) same like for GlobalViewModel for example.
The other thing I would like to do is to have standalone navigation module with AppNavigatorInterface, which app module will implement. The point being to easy swap out nav3 with whatever come next.
I think your problem is using an emptyDir volume for sharing between tasks. The tasks themselves are different pods which might not even run on the same node, and not different containers sharing the same pod.
See GH issue on Argo Workflow project: https://github.com/argoproj/argo-workflows/issues/3533
Can't you use a persistent volume instead? Check the documentation for clear examples: https://argo-workflows.readthedocs.io/en/latest/walk-through/volumes/
If not, then try with an emptyDir and node affinity to make sure the tasks are on the same node, as suggested in the linked GH issue
I encountered the same error. For me, it was because I was on an older version of React Native, and didn't have the New Arch enabled. Upgrading to the latest version and enabling the New Architecture resolved the issue for me.
Use actix_web::rt::spawn(), which does not have a Send requirement, and runs the future on the current thread:
https://docs.rs/actix-web/latest/actix_web/rt/fn.spawn.html
Any other Send futures or tasks can be spawned into different threads, and any other non-Send (!Send) futures can be spawned on the same thread, they will cooperate to share execution time.
If you need a dedicated thread for a !Send future, you can create it manually using std::thread::Builder, then use Handle::block_on() to call actix_web::rt::spawn() to run the future locally on that thread.
Here is a similar answer that covers most of that:
Guillaume's answer was so close that I was able to fill in the missing pieces. In case anyone finds this later, summary changes:
The rolehierarchy view was the key and great to show the breadcrumbs as a plus. I can see that being used elsewhere. But I needed the toplevel bit value so I added that to the view.
I split the roles and groups into different columns in the rolehierarchy view. No big difference to the solution, but it's easier for us to have those split out.
The main query then needed roles/groups split and the toplevel in the searches.
Changed the GROUP BY to include the toplevel. Since it was a bit value, used ISNULL(MAX(CAST(toplevel AS INT)),0) AS toplevel to determine if a toplevel role was in the hierarchy somewhere.
I added a lot more mess to the sample data to verify. Toplevel Role A now gives 5 levels deep of sub-roles, and non-toplevel Role C also gives many subroles and groups.
I have it very nearly complete in Updated DB<>Fiddle.
In the last final result, I have Alice's full access and whether it is direct or under a toplevel. But I can't have a HAVING clause to filter only those toplevel = 0. Does anyone know how to do that?
Thank you all.
Well, first, these two sets aren't identical in ordering. At a glance, they flip the ordering of 'n' and 'f'.
Beyond that, while set ordering isn't guaranteed in standard sets in Python as a language, individual implementations may implement some ordering type. Whether that's a reliable contract will ultimately be a function of how much you trust that specific implementation and their promise to offer that as a stable behaviour.
Based on CPython's set, (of which the meat and potatoes of the insertion implementation lives here), it looks like there's no particular care taken to preserve any specific ordering, nor is there any specific care taken to randomize the order beyond using object hashes, which are stable for any object's lifetime and tend to be stable globally for certain special values (like integers below 256, and individual bytes from the ASCII range in string data).
The same can be said for the implementation of set's __repr__, (here), which makes no special effort to randomize or stabilize the order in which items are presented.
Emphatically, though, these are implementation details of CPython. You shouldn't rely on this unless you positively have to, and even then, I'd step back and reevaluate why you're in that position.
npm run watch
It will rebuild on any saved change.
By adding a delay to the trigger (below code in the form attributes), everything worked properly with the handler being called and preventing the default behavior.
hx-trigger="submit delay:1ms"
The TOKEN_EXPIRED error after a day suggests that the Firebase refresh token, which is stored in localStorage on the web via browserLocalPersistence, is being lost or invalidated.
Your firebase-config.ts looks correct for setting persistence so the most probable cause is your browser's settings or an extension is clearing localStorage or site data after a period.
Start by checking your browser's privacy settings and extensions. If you can replicate the issue consistently across different browsers (or after confirming localStorage is not being cleared), then you'd need to dig deeper into the Firebase SDK's interaction with your specific environment.
There is a work-around to access the underlying XGB Booster:
booster = model.get_booster()
dtest = xgb.DMatrix(X_test)
y_shap = booster.predict(dtest, pred_contribs=True)
for (int i = 0; i <= 8; ++i) {
System.out.println(Math.min(i, 8 - i));
}
Temp mail boomlify is the best temp mail.
this is more more better then a traditional temp mail cause Boomlify is a privacy-focused temporary email platform that offers instant inbox creation, long-lasting emails, a centralized dashboard, custom domain and API support, smart inbox view, cross-device sync, multi-language UI, spam protection, live updates, and developer-friendly features like webhooks and REST APIs—all without registration.
Thanks to @mkrieger1 for this one, some images I used literally have over 100000 colors.... Something I NEVER expected to happen, so .getcolors() returned None. I changed the value to 100 million so I hopefully never face this problem ever again.
all_colors = main_img.getcolors(maxcolors=100000000)
Simply add
|> opt_css(css = "
.gt_column_spanner {
border-bottom-style: solid !important;
border-bottom-width: 3px !important;
}")
Yes you can wild card the path of paths of CSV files. Assuming you are sourcing them from GCS your create BQ table query would be:
CREATE OR REPLACE EXTERNAL TABLE `project.dataset.table`
OPTIONS (
format = 'PARQUET',
uris = ['gs://gcs_bucket_name/folder-structure/*.parquet']
);
Very late to the party on this one, but this thread is the top google result for 'javascript identity function' so I figured I'd chime in. I'm newish to Javascript, so hopefully I'm not simply unaware of a better solution.
I find this code useful:
function identity(a) { return a }
function makeCompare(key = identity, reverse = false) {
function compareVals(a, b) {
const keyA = key(a);
const keyB = key(b);
let result = keyA < keyB ? -1 : keyA > keyB ? 1 : 0;
if ( reverse ) { result *= -1 }
return result;
}
return compareVals;
}
I can then sort arbitrary data structures in a tidy way:
const arrB = [ {name : "bob", age: 9}, {name : "alice", age: 7} ];
console.log(arrB.sort( makeCompare( val => { return val.age } )));
console.log(arrB.sort( makeCompare( val => { return val.age }, true)));
// output:
// Array [Object { name: "alice", age: 7 }, Object { name: "bob", age: 9 }]
// Array [Object { name: "bob", age: 9 }, Object { name: "alice", age: 7 }]
Note that this is dependent on having an 'identity' function to use as the default 'key' function.
I think that pd.cut().value_counts() is what you're looking for.
import pandas as pd
import plotly.express as px
# Example data
data = {
"data-a": [10, 15, 10, 20, 25, 30, 15, 10, 20, 25],
"data-b": [12, 18, 14, 22, 28, 35, 17, 13, 21, 27]
}
df = pd.DataFrame(data)
# Define bins
bin_range = range(9, 40, 5)
# Bin data
binned_data_a = pd.cut(df["data-a"], bins=bin_range).value_counts()
binned_data_b = pd.cut(df["data-b"], bins=bin_range).value_counts()
diff = binned_data_a - binned_data_b
# Plot
px.bar(
x = bin_range[:-1],
y = diff.values,
labels={"x": "Bin start value", "y": "Difference (a - b)"}
)
Thanks to @Echedey Luis for suggesting .value_counts(). Also see docs for .cut() and .value_counts().
The right way to do this is to open the Adaptive Card as a formula and the values like Topic.title, This will ensure that the data adaptive card is able to read the data properly.
You'll also get that response if the
sudo wg-quick down wg0
command is issued after wg is down. In that case, just run :
sudo wg-quick up wgo
Ran into a similar issue with extracting files from an iOS/iPadOS app when trying to export the .realm data from in Realm Studio to a .csv file...
Here to add that as of July 2025 using Realm Browser (an app that is no longer updated) works just as Apta says (on an Intel Mac running Sequoia 15.5).
I opened the default.realm file I was working with in Realm Browser, and was asked for a valid encryption key to open the file. Instead, I opened up a file that Realm had created in the same folder called "default.v7.backup.realm", which worked just fine. From there, it was easy to export the .csv file(s) for the class(es) of interest.
Thanks for the assist, Apta!!!
This is a well-known issue.
When you’re on a Zoom call (or any other voice call app), the system automatically switches your device’s audio into communication mode which is optimized for voice, not for high-quality stereo sound.
Effects:
• Stereo gets downmixed to mono
• High/low frequencies are cut off
• Music, binaural, or special effects often get suppressed
On web there’s no way to bypass this because the browser doesn’t have access to low level audio routing. On native apps you should have more control.
It turns out that the error is as a result of lack of support for Secure Boot - so if you stop the VM - then go into settings / security and disable Secure Boot then you will be able to start the VM and complete the installation process. You can then investigate the process of enabling Secure Boot on Ubuntu - see https://wiki.ubuntu.com/UEFI/SecureBoot for more information.
when I got this error, I culd not execute npm cache clean because on evey npm execution I received the isexe error, so, what I did was uninstall nodejs and remove the /usr/lib/node_modules folder, then reinstall npm and it worked
I needed to enable the users to send some Ethereum from their metamask wallet to the smart contract which they want to buy some tokens of via frontend. Based on metamask docs this is how one can call the send function of metamask in frontend:
window.ethereum.request({
method: "eth_sendTransaction",
params: [
{
from: metamaskWalletAddress, // The user's active address.
to: tokenAddress, // Address of the recipient.
value: userDesiredAmount,
gasLimit: "0x5028", // Customizable by the user during MetaMask confirmation.
maxPriorityFeePerGas: "0x3b9aca00", // Customizable by the user during MetaMask confirmation.
maxFeePerGas: "0x2540be400", // Customizable by the user during MetaMask confirmation.
}],
})
.then((txHash: any) => console.log("txHash: ", txHash))
.catch((error: any) => console.error("errorL ", error));
However, as @petr-hejda said, the token contract needs to have receive() and fallback() functions as well to be able to get the Ethereum.
Firstly Remove image background to Transparent Background https://www.remove.bg/
Then go to this Website to Generate @mipmap https://www.appicon.co/ download it
then replace your old files with download files
class A:
def __init__(self, x):
print("Calling __init__")
self.x = x
def mynew(cls, *args, **kwargs):
print("Calling mynew")
return object.__new__(cls)
A.__new__ = mynew
A(10)
A.__new__ = lambda cls, x: object.__new__(cls)
a = A(10)
print(a.x)
When you declare an array variable of a type it will only handle that type specified, it will just do an implicit type convertion, if you want to enforce the type then you must do it on the place you are using the array or you may insert using the index, since that way it is checked at save/compile time.
Local Array of String &myArray = CreateArrayRept("", 0);
&myArray.push(1); // This compiles (add member)
&myArray[2] = "1"; // This compiles (add member)
&myArray[3] = "1"; // This compiles (add member)
&myArray[4] = 1; // This doesn't
I was not able to pull this strictly using google app script on account of being a novice, but did have a workaround using a combination of functions and script.
For each filterable column criteria needed on the sheet I matched resulting column numbers with arrayformulas, then matched them against against themselves to limit my column range.
Filter_Job_Return = arrayformula(filter(COLUMN(Job_Names_Range),Job_Names_Range=Job))
Filter_Date_Return = arrayformula(filter(COLUMN(Date_Support_Range),Date_Support_Range>=Date_Range_Beginning,Date_Support_Range<=Date_Range_End))
Filter_Columns_Match = ARRAYFORMULA(text(FILTER(Filter_Job_Return_Range,ISNUMBER(MATCH(Filter_Job_Return_Range,Filter_Date_Return))),"0"))
For the variable row I needed I did a similar filter to return the row number for that employee, though a similar matching logic of the columns can be adapted to rows to remove potential duplicates
Example:
Need: Job# 4, Between Dates 01/15/20xx and 03/15/20xx, Employee Name: Joe
Update Projected Hours to 15
| Labels | Col 2 | Col 3 | Col 4 | Col 5 |
|---|---|---|---|---|
| Job_Return | 2 | 4 | 4 | 6 |
| Date_Return | 01/01/20xx | 02/01/20xx | 03/01/20xx | 04/01/20xx |
| Columns_Match | 3 | 4 | ||
| Row_Return | 6 | |||
| Employee Names | Projected Hours | Projected Hours | Projected Hours | Projected Hours |
| Joe | 10 | 10 | 10 | 10 |
Macro to Replace selected values:
function ReplaceProjectedHours(){
const ss = SpreadsheetApp.getActive();
let sheet = ss.getSheetByName("Projected Hours"); //pulls from sheet by name
const projectedHoursPerWeek = ss.getRangeByName("Projected_Hours_per_Week").getValues();
let row = ss.getRange("B4").getDisplayValue(); //pulls cell from upper left corner of spill array formula if multiple results are given
let colArray = ss.getRangeByName("Filter_Columns_Match").getDisplayValues();
//Logger.log("colArray.length:" + colArray.length);
//Logger.log(colArray);
//https://stackoverflow.com/questions/61780876/get-x-cell-in-range-google-sheets-app-script
for(let j = 0; j < colArray[0].length; j++) {
if (colArray[0][j] !== "") { // Check if the cell is not empty
sheet.getRange(row, colArray[0][j]).setValues(projectedHoursPerWeek); //sets values based on position in array of object
}
}
}
| Labels | Col 2 | Col 3 | Col 4 | Col 5 |
|---|---|---|---|---|
| Job_Return | 2 | 4 | 4 | 6 |
| Date_Return | 01/01/20xx | 02/01/20xx | 03/01/20xx | 04/01/20xx |
| Columns_Match | 3 | 4 | ||
| Row_Return | 6 | |||
| Employee Names | Projected Hours | Projected Hours | Projected Hours | Projected Hours |
| Joe | 10 | 15 | 15 | 10 |
And the macro replaces the match cells over non-continuous ranges based on the matching criteria
Can you please provide your complete nodejs code? I was able to use the latest 3.7 gremlin-javascript driver to execute a comparable query against my local gremlin-server populated with the sample modern graph:
const dc = new DriverRemoteConnection('ws://localhost:8182/gremlin');
const g = traversal().withRemote(dc);\
const graphTraversal = await g.V().hasLabel('person').has('age', 29).toList();
console.log(graphTraversal)
The output I received:
[
Vertex {
id: 1,
label: 'person',
properties: { name: [Array], age: [Array] }
}
]
I was also able to use a Neptune notebook to execute a comparable query against a graph loaded with the sample air-routes data:
%%gremlin
g.V().hasLabel('airport').has('code', 'LAX')
Output:
v[13]
Maybe something changed in Jest 30, but the accepted answer is not working for me. I had to do this in my global.d.ts file.
import 'jest'
declare global {
namespace jest {
interface Expect {
customMatcher(expected: string): CustomMatcherResult
}
}
}
in Program try
Test.IServer server = new Test.Server(); perhaps then you can call your MethodImpl like server.MethodImpl(params) because Interface(!) is providing your method in COM. Like calling COM from VBA - you don't care about CoClass, because you reference both COM and Class from typelib, last provides just interface for connection from which you call Method. I don't know COM providing classes. CoClass is being compiled with server, not client - you should not care about it in client.
p.s. but, frankly speaking, I have the same problem with NetSxS example with NET.Core 5.0 Reg-free COM
There seems to be this prop for selected text, but nothing for the placeholder:
selectedTextProps={{allowFontScaling: false}}
Another way for this to not work is for C-space to be mapped to something else in your Desktop. On my Mac, C-Space was mapped Input Sources -> Select the previous input source.
I got a response here: https://github.com/tbroyer/gradle-errorprone-plugin/issues/125
As stated on this page: https://errorprone.info/bugpatterns, there are two categories of bug patterns - On by default and Experimental
RemoveUnusedImport is marked as Experimental, which means it’s not enabled by default.
Some tags cause Doxygen to fail. For example "@code". Try to simplify the documentation comments in your code and then re-run Doxygen.
any solution on this? addIndex is totally useless if you change the sorting. it is not added on 0 position (top row). thanks
There is always a balance to find between debugging easyness and security. Access tokens could be truncated for better safety, but as they live a few hours and are displayed at DEBUG level, this is acceptable. That said, a PR to improve that will be welcomed.
I must say that after years this issue is still there.
IDB access using index works correctly in major browsers but iOS Safari still suffers.
You should move also the Image instantiation in the ui.access(...) block
Installing previous versions of react-popper may solve the problem.
---
- name: List Local Users
hosts: all
gather_facts: false
tasks:
- name: Get local user information
getent:
database: passwd
register: passwd_entries
- name: Display local users
debug:
msg: "Local user: {{ item.key }}"
loop: "{{ passwd_entries.ansible_facts.getent_passwd | dict2items }}"
when: item.value[6] != '/usr/sbin/nologin' and item.value[6] != '/bin/false'
Can you test it this way?
I did downgrade to node 20.12.1, as @ Sebastian Kaczmarek mentioned and it worked
My bug when get dependencies: speech_to_text: ^7.2.0. Comment it and work!
Google refresh tokens can expire for a few different reasons, you can read this documentation for more information: https://developers.google.com/identity/protocols/oauth2#expiration
have you find the reason behind this issue?
I'm getting the exact same error message, could you please share the resolution if you have
You are connecting to a v3 instance, that is correct.
v2 SDK writes are supported via compatibility endpoints, but Flux queries are not officially supported and may break.
For long-term stability and performance, suggest migrating to the v3 SDK and native APIs for both writing and querying data.
For more guidance, see the table in this blog: https://www.influxdata.com/blog/choosing-client-library-when-developing-with-influxdb-3-0/
So for anyone else having this error, this was a doozy. In this instance, for some reason apache has created an actual file in the /etc/apache2/sites-enabled/ folder (not be be confused with the sites-available folder). You need to delete the virtual-hosts.conf file from there:
sudo rm /etc/apache2/sites-enabled/virtual-hosts.conf
and then run:
cd /etc/apache2/sites-available
sudo a2ensite *
This will create a symbolic link in the sites-enabled folder (so it’s not longer a “real file”).
I've have no idea how this happened as I didn't even know the "sites-enabled" folder existed so certainly did put anything in there!?
Whilst i won't accept this as the answer i'd like to point out that after further tests the last code sample below seems to return PCM data. I made a waveform visualisation and the data returned includes values range from negative to positive in a wave like structure which can be passed into an FFT window and then into an FFT calculation.
// audio file reader
reader = new Mp3FileReader(filename);
byte[] buffer = new byte[reader.Length];
int read = reader.Read(buffer, 0, buffer.Length);
pcm = new short[read / 2];
Buffer.BlockCopy(buffer, 0, pcm, 0, read);
Here a good configuration to start and stop 2 vertx applications (which both deploy several verticles).
The commented part is for optional waiting for applications starts (we can force test to wait @beforeAll if we prefer).
<profiles>
<!-- A profile for windows as the stop command is different -->
<profile>
<id>windows-integration-tests</id>
<activation>
<os>
<family>windows</family>
</os>
</activation>
<build>
<pluginManagement>
<plugins>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>properties-maven-plugin</artifactId>
<version>${properties-maven-plugin.version}</version>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-failsafe-plugin</artifactId>
<version>${maven-failsafe.version}</version>
</plugin>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>exec-maven-plugin</artifactId>
<version>${exec-maven-plugin.version}</version>
</plugin>
</plugins>
</pluginManagement>
<plugins>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>properties-maven-plugin</artifactId>
<executions>
<execution>
<phase>initialize</phase>
<goals>
<goal>read-project-properties</goal>
</goals>
<configuration>
<urls>
<url>file:///${basedir}\src\test\resources\test-conf.properties</url>
</urls>
</configuration>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-failsafe-plugin</artifactId>
<executions>
<execution>
<goals>
<goal>integration-test</goal>
<goal>verify</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-antrun-plugin</artifactId>
<version>1.1</version>
<executions>
<execution>
<phase>compile</phase>
<goals>
<goal>run</goal>
</goals>
<configuration>
<tasks>
<echo>Displaying value of 'testproperty' property</echo>
<echo>[testproperty] ${vortex.conf.dir}/../${vertx.hazelcast.config}</echo>
</tasks>
</configuration>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>exec-maven-plugin</artifactId>
<executions>
<execution>
<id>start-core</id>
<phase>pre-integration-test</phase>
<goals>
<goal>exec</goal>
</goals>
<configuration>
<executable>${java.home}/bin/java</executable>
<!-- optional -->
<workingDirectory>${user.home}/.m2/repository/fr/edu/vortex-core/${vortex.revision}</workingDirectory>
<arguments>
<argument>-jar</argument>
<argument>vortex-core-${vortex.revision}.jar</argument>
<argument>run fr.edu.vortex.core.MainVerticle</argument>
<argument>-Dconf=${vortex.conf.dir}/${vortex-core-configurationFile}</argument>
<argument>-Dlogback.configurationFile=${vortex.conf.dir}/../${vortex-core-logback.configurationFile}</argument>
<argument>-Dvertx.hazelcast.config=${vortex.conf.dir}/../${vertx.hazelcast.config}</argument>
<argument>-Dhazelcast.logging.type=slf4j</argument>
<argument>-Dvertx.logger-delegate-factory-class-name=io.vertx.core.logging.SLF4JLogDelegateFactory</argument>
<argument>-cluster</argument>
</arguments>
<async>true</async>
</configuration>
</execution>
<execution>
<id>start-http</id>
<phase>pre-integration-test</phase>
<goals>
<goal>exec</goal>
</goals>
<configuration>
<executable>${java.home}/bin/java</executable>
<!-- optional -->
<workingDirectory>${user.home}/.m2/repository/fr/edu/vortex-http-api/${vortex.revision}</workingDirectory>
<arguments>
<argument>-jar</argument>
<argument>vortex-http-api-${vortex.revision}.jar</argument>
<argument>run fr.edu.vortex.http.api.MainVerticle</argument>
<argument>-Dconf=${vortex.conf.dir}/${vortex-http-configurationFile}</argument>
<argument>-Dlogback.configurationFile=${vortex.conf.dir}/../${vortex-http-logback.configurationFile}</argument>
<argument>-Dvertx.hazelcast.config=${vortex.conf.dir}/../cluster.xml</argument>
<argument>-Dhazelcast.logging.type=slf4j</argument>
<argument>-Dvertx.logger-delegate-factory-class-name=io.vertx.core.logging.SLF4JLogDelegateFactory</argument>
<argument>-Dagentlib:jdwp=transport=dt_socket,server=y,suspend=n,address=5005</argument>
<argument>-cluster</argument>
</arguments>
<async>true</async>
</configuration>
</execution>
<!-- <execution>-->
<!-- <id>wait-server-up</id>-->
<!-- <phase>pre-integration-test</phase>-->
<!-- <goals>-->
<!-- <goal>java</goal>-->
<!-- </goals>-->
<!-- <configuration>-->
<!-- <mainClass>fr.edu.vortex.WaitServerUpForIntegrationTests</mainClass>-->
<!-- <arguments>20000</arguments>-->
<!-- </configuration>-->
<!-- </execution>-->
<execution>
<id>stop-http-windows</id>
<phase>post-integration-test</phase>
<goals>
<goal>exec</goal>
</goals>
<configuration>
<executable>wmic</executable>
<!-- optional -->
<workingDirectory>${project.build.directory}</workingDirectory>
<arguments>
<argument>process</argument>
<argument>where</argument>
<argument>CommandLine like '%vortex-http%' and not name='wmic.exe'
</argument>
<argument>delete</argument>
</arguments>
</configuration>
</execution>
<execution>
<id>stop-core-windows</id>
<phase>post-integration-test</phase>
<goals>
<goal>exec</goal>
</goals>
<configuration>
<executable>wmic</executable>
<!-- optional -->
<workingDirectory>${project.build.directory}</workingDirectory>
<arguments>
<argument>process</argument>
<argument>where</argument>
<argument>CommandLine like '%vortex-core%' and not name='wmic.exe'</argument>
<argument>delete</argument>
</arguments>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</profile>
</profiles>
And content of property file :
vortex.conf.dir=C:\\prive\\workspace-omogen-fichier\\conf-avec-vortex-http-simple\\conf\\vortex-conf
vortex-core-configurationFile=core.conf
vortex-core-logback.configurationFile=logback-conf\\logback-core.xml
vortex-http-configurationFile=http.conf
vortex-http-logback.configurationFile=logback-conf\\logback-http-api.xml
vortex-management-configurationFile=management.conf
vortex-management-logback.configurationFile=logback-conf\\logback-management.xml
vertx.hazelcast.config=cluster.xml
.parent:has(+ ul .active) {
background: red;
}
Lucky solution is
<label for="look-date">Choose the year and month (yyyy-MM):</label>
<input type="month" th:field="${datePicker.lookDate}" id="look-date"/>
but it is important to change type to java.util.Date
@Data
public class DatePickerDto implements Serializable {
@DateTimeFormat(pattern = "yyyy-MM")
private Date lookDate;
private String dateFormat = "yyyy-MM";
}
How to enable html form to handle java.time.LocalDate ? 🤔 I don't know
Possible issues:
Too few epochs, 20 is too low to a decent convergence. Leave it to the default, or start with at least 100. You can even put a higher number like 1k and set some early stopping strategy.
80 images is also kind of low. Try to increase it to at least 1k. You can synthetically increase it by using data augmentation, such as Albumentation library. There is a way to synthesize images during yolo training, please take a look on Yolo docs for configuring this properly. I would use mostly the lightning, contrast, rotation, translation, crop and eraser functions.
If your input image is large, specially the one taken from distance, you might get better accuracy working on a sliding window. The easiest way might be SAHI (https://docs.ultralytics.com/guides/sahi-tiled-inference/)
You can write a helper function to perform the transformation:
function formatDate(year) {
if (year < 0) {
return `${Math.abs(year)} BCE`;
} else {
return `${year}`;
}
}
Then, you can call the helper using, for example, formatDate(-3600) to get "3600 BCE".
Update 2025: This problem still exists, but I'm building a comprehensive solution
The core issue remains - OpenAI's API is stateless by design. You must send the entire conversation history with each request, which:
Increases token costs exponentially with conversation length
Hits context window limits on long conversations
Requires manual conversation management in your code
Current workarounds:
Manual history management (what most answers suggest)
LangChain's ConversationBufferMemory (still sends full history)
OpenAI's Assistants API (limited, still expensive)
I'm building MindMirror to solve the broader memory problem:
Already working: Long-term memory across sessions
Remembers your projects, preferences, and goals so you don't re-introduce yourself or the way you tackle challenges/problems
Works with any AI API through MCP standard (also Claude Code, Windsurf, Cursor etc)
$7/month unlimited memories (free trial: 25 memories)
Coming soon: Short-term context management
Persistent conversation threads across AI models
Intelligent context compression to reduce token costs
Easy model switching while maintaining conversation state
My vision: Turn AI memory from a "rebuild it every time" problem into managed infrastructure. Handle both the immediate context issue (this thread) and the bigger "AI forgets who I am" problem.
Currently solving the long-term piece: https://usemindmirror.com
Working on the short-term context piece next. The memory problem is bigger than just conversation history - it's about making AI actually remember you and make adapt to your needs, preferences, wants etc.
How about of renaming all those tables?
It seems doing "Hide copilot" in the menu really removes all AI and Copilot appearances.
So here is the answer, thank me later: You need to actively sender.ReadRTCP() and/or receiver.ReadRTCP() in a go routine loop in order to get that stats.
Ok, I am an IDIOT !!!
I went back and traced not only the code within this function, but step by step leading up to it. I found a line of code that removed the reference placeholder for the DOM element before the DataTables ever got called so I was trying to apply the DataTables code to a non existent DOM element!!!
Thanks to all those that replied.
You could probably code a module to have an infinite space of memory that you could use as SWAP or logical hard disk partition.
This works:
wp core update-db --network
I had this problem, target/classes had the .class updated, but the .war had old .class
after hours i found that MyProj/src/main/webapp/WEB-INF/class/xxx/yyy had the old classes. I just deleted it
Hope this is helpful
lazy.list <-
function(lst, elt)
{
attach(lst)
elt
}
this.call <- as.call(expression, lazy.list, a.lst, an.elt)
# ...
eval(this.call)
Keycloak’s built-in Group Membership Token Mapper only includes direct user groups, not child groups.
If you want child groups included in the JWT, the easiest approach is to:
Include only direct groups in the token (using the default mapper).
In your backend, call Keycloak’s Admin REST API to fetch each group’s child groups recursively.
Combine them to get the full group hierarchy for your user.
This way you keep tokens simple and handle hierarchy logic where it’s easier to maintain and customize.
I faced the same issue, what it worked to me was to change the app name and slug in the app.json file. I deleted the spaces between words and I joined the words using camelCase and it worked.
I am afraid this cannot be done, at the moment. But there is an interesting feature request, that asks for port placement instructions, via the top, left, right and bottom keywords:
رومان.
| header 1 | header 2 |
|---|---|
| 50000 | 20000 |
| cell 3 | cell 4 |
header 1
header 2
cell 1
cell 2
cell 3
cell 4
What about bypassing importing images limits
You're mostly doing it right, but the Plugin Check Plugin (PCP) warning occurs because you're building the SQL string before passing it into $wpdb->prepare() — and this confuses static analyzers like Plugin Check.
Here’s the problem line:
$sql = "SELECT COUNT(*) FROM {$table1} WHERE section_course_id = %d";
$query = $db->wpdb->prepare( $sql, $post_id );
Even though $table1 is safe (likely a constant or controlled variable), tools like PCP expect everything except placeholders to be inside $wpdb->prepare() to enforce best practices.
Use sprintf() to inject the table name (since placeholders cannot be used for table names), then pass the resulting query string into $wpdb->prepare() with only values substituted through placeholders.
Fixed Code:
$db = STEPUP_Database::getInstance();
$table1 = $db->tb_lp_sections;
$sql = sprintf("SELECT COUNT(*) FROM %s WHERE section_course_id = %%d", $table1);
$query = $db->wpdb->prepare($sql, $post_id);
$result = $db->wpdb->get_var($query);
Note the double percent sign (%%d) inside sprintf() which escapes %d so that it remains available for $wpdb->prepare() to process.
Table names cannot be parameterized using %s inside $wpdb->prepare().
Therefore, use sprintf() to safely inject known table names.
Leave value placeholders (like %d, %s, etc.) to be handled by $wpdb->prepare() only.
This pattern satisfies both WordPress security practices and Plugin Check rules.
Never directly interpolate variables into SQL unless it’s a table name or column.
Always let $wpdb->prepare() handle data values using placeholders.
For table names, use sprintf(), then use $wpdb->prepare() for the rest.
WPDB::prepare() – WordPress Developer Docs
The issue is caused by this line in your controller:
$user = User::findOrFail($request->user);
...
$income->created_by = $user;
Here, you're assigning the entire $user model object to the created_by column, which expects an integer (user ID). Laravel is likely falling back to the authenticated user (auth()->user()->id) behind the scenes or the cast is not happening correctly, leading to the wrong ID being stored.
You should assign just the ID of the user who is creating the record, not the entire object. Also, since you're using the logged-in user to represent the creator, use auth()->id() directly:
$income->created_by = auth()->id(); // Correct way
If you're intentionally passing the user ID as a route parameter (which isn't typical for created_by fields), ensure it's an integer, not a full object:
$income->created_by = (int) $request->user;
But the best practice is to rely on the authenticated user for created_by, like this:
$income->created_by = auth()->id();
You already correctly set $income->donor_id = $request->donor_user_id, so the donor’s ID is preserved.
Double-check your form to make sure donor_user_id is sent and that it’s not being overwritten elsewhere.
$income = new ChurchParishionerSupportIncome();
$income->donor_id = $request->donor_user_id;
$income->cause_id = $request->cause_id;
$income->is_org_member = 1;
$income->amount = $request->amount;
$income->paid = $request->paid;
$income->balance = $request->balance;
$income->comment = $request->comment;
$income->organisation_id = $request->organisation_id;
$income->created_by = auth()->id(); // <- FIXED LINE
$income->save();
Genetic Algorithms (GAs) are a sub-class of Evolutionary Algorithms (EAs). The salient feature of GAs is that they replicate evolution by invoking a close, low-level metaphor of biological genes. If this seems obvious or redundant, remember that the theory of evolution was formulated independently of genetics!
From AI - A Modern Approach (Russel & Norvig):
Evolutionary algorithms ... are explicitly motivated by the metaphor of natural selections in biology: there is a population of individuals (states), in which the fittest (highest value) individuals produce offspring (successor states) that populate the next generation, a process called recombination.
Then later:
In genetic algorithms, each individual is a string over a finite alphabet, just as DNA is a string over the alphabet ACGT.
I certainly wasn't aware of this distinction before reading it in R&N. It makes sense to me, although I know that even experts in GAs refer to the use of continuous-value implementations of EAs such as NSGAII as 'genetic'. So I guess it's mostly a technicality.
Expo-doctor fixed the issue for me
I ran the command with expo doctor:
npx expo-doctor
then
npx expo install --check
Assuming skillset is the name of the column containing the technologies and your table is called yourTable:
SELECT *
FROM yourTable
WHERE skillsetLIKE '%kafka%';
However it is not advised to store data in a non-normalized fashion like your skillset column.
When I asked this question it was because I was developing a Package with some general functionality to help me and my then colleagues to streamline various parts of our Python development.
I have since then left the company, and have re-implemented the whole thing on my own time. This time around I ended up inheriting from the argparse.ArgumentParser class, and overriding the add_argument and parse_args methods, as well as implementing 2 of my own methods:
class JBArgumentParser(ap.ArgumentParser):
envvars = {}
def add_argument(self, *args, **kwargs):
# I added a new argument to the add_argument method: envvar
# This value is a string containing the name of the environment
# variable to read a value from, if a value isn't passed on the
# command line.
envvar = kwargs.pop('envvar', None)
res = super(JBArgumentParser, self).add_argument(*args, **kwargs)
if envvar is not None:
# I couldn't solve the problem, of distinguishing an optional
# positional argument that have been given the default value
# by argparse, from the same argument being passed a value
# equal to the default value on the command line. And since
# a mandatory positional argument can't get to the point
# where it needs to read from an environment variable, I
# decided to just not allow reading the value of any
# positional argument from an environment variable.
if (len(res.option_strings) == 0):
raise EJbpyArgparseEnvVarError(
"Can't define an environment variable " +
"for a positional argument.")
self.envvars[res.dest] = envvar
return res
def parse_args(self, *args, **kwargs):
res = super(JBArgumentParser, self).parse_args(*args, **kwargs)
if len(self.envvars) > 0:
self.GetEnvVals(res)
return res
def GetEnvVals(self, parsedCmdln):
for a in self._actions:
name = a.dest
# A value in an environment variable supercedes a default
# value, but a value given on the command line supercedes a
# value from an environment variable.
if name not in self.envvars:
# If the attribute isn't in envvars, then there's no
# reason to continue, since then there's no
# environment variable we can get a value from.
continue
envVal = os.getenv(self.envvars[name])
if (envVal is None):
# There is no environment variable if envVal is None,
# so in that case we have nothing to do.
continue
if name not in vars(parsedCmdln):
# The attribute hasn't been set, but has an
# environment variable defined, so we should just set
# the value from that environment variable.
setattr(parsedCmdln, name, envVal)
continue
# The current attribute has an instance in the parsed command
# line, which is either a default value or an actual value,
# passed on the command line.
val = getattr(parsedCmdln, name)
if val is None:
# AFAIK you can't pass a None value on the command
# line, so this has to be a default value.
setattr(parsedCmdln, name, envVal)
continue
# We have a value for the attribute. This value can either
# come from a default value, or from a value passed on the
# command line. We need to figure out which we have, by
# checking if the attribute was passed on the command line.
if val != a.default:
# If the value of the attribute is not equal to the
# default value, then we didn't get the value from a
# default value, so in that case we don't get the
# value form an environment variable.
continue
if not self.AttrOnCmdln(a):
# The argument was not found among the passed
# arguments.
setattr(parsedCmdln, name, envVal)
# Check if given attribute was passed on the command line
def AttrOnCmdln(self, arg):
for a in sys.argv[1:]:
# Arguments can either be long form (preceded by --), short
# form (preceded by -) or positional (no flag given, so not
# preceded by -).
if a[0:2] == '--':
# If a longform argument takes a value, then the
# option string and the value will either be
# separated by a space or a =.
if '=' in a:
a = a.split("=")[0]
if p in arg.option_strings:
return True
elif a[0] == '-':
# Since we have already taken care of longform
# arguments, we know this is a shortform argument.
for i, c in enumerate(a[1:]):
optionstr = f"-{c}"
if optionstr in arg.option_strings:
return True
elif (((i + 1) < len(a[1:]))
and (a[1:][i + 1] == '=')) or \
isinstance(
self._option_string_actions[optionstr],
ap._StoreAction) or \
isinstance(
self._option_string_actions[optionstr],
ap._AppendAction):
# We may need to test for more
# classes than these two, but for now
# these works. Maybe
# _StoreConstAction or
# _AppendConstAction?
# Similar to longform arguments,
# shortform arguments can take values
# and in the same way they can be
# separated from their value by a
# space, or a =, but unlike longform
# arguments the value can also come
# immediately after the option
# string. So we need to check if the
# option would take a value, and if
# so ignore
# the rest of the option, by getting
# out of the
# loop.
break
else:
# This is a Positional argument. In case of a
# mandatory positional argument we shouldn't get to
# this point if it was missing (a mandatory argument
# can't have a default value), so in that case we
# know it's present. In the case of a conditional
# positional argument we could get here, if the
# argument has a default value. Or maybe if one, of
# multiple, positional arguments is missing?
if isinstance(arg.nargs, str) and arg.nargs == '?':
# Is there any way we can distinguish between
# the default value and the same value being
# passed on the command line? For the time
# being we are denying defining an
# environment variable for any positional
# argument.
break
return False
python is incorrect.Not formal. For example, python in C
Yes, TensorRT 8.6 can work with CUDA 12.4, but compatibility depends on the exact subversion and platform. Some users have reported success, though you may need to build from source or ensure matching cuDNN and driver versions. Always check the official NVIDIA compatibility matrix to confirm.
I also faced the simmilar issue, in my case, I had ssl certificate installed for mydomain.com but not for www.mydomain.com (I'm using certbot with nginx). after installing for www.mydomain.com it worked.
After checking all the possibilities now I can able to get the data based on the search parameters.
this is final working code.
client = new RestClient();
var listRequest = new RestRequest($"https://api.bexio.com/2.0/kb_order/search", Method.Post);
var searchParameters = new OrderSearchParameter[]
{
new OrderSearchParameter
{
field = "search_field",
value = "search_value",
criteria = "="
}
};
var jsonValue = JsonSerializer.Serialize(searchParameters);
listRequest.AddHeader("Accept", "application/json");
listRequest.AddHeader("Authorization", $"Bearer {config.AccessToken}");
listRequest.AddHeader("Content-Type", "application/json");
listRequest.AddHeader("Content-Length", Encoding.UTF8.GetByteCount(jsonValue));
listRequest.AddBody(searchParameters, "application/json");
RestResponse listResponse = await client.ExecuteAsync(listRequest, cancellationToken);
if (!listResponse.IsSuccessful)
{
Console.WriteLine($"API request failed: {listResponse.ErrorMessage}");
}
else if (listResponse.Content != null)
{
// success
}
One thing missing here is limit. If I add limit it shows the error, I don't know the reason actually.
Thank you everyone!!!
"Solved" by downgrading VS 2022 to Version 17.12.9
from
The reason your rc is not updated in your example is because bash will create a subshell when using a pipe
One solution to your problem is to use "${PIPESTATUS[@]}"
#!/usr/bin/bash
curl --max-time 5 "https://google.com" | tee "page.html"
echo "curl return code: ${PIPESTATUS[0]}"
It's not possible to scan CPU registers without stopping the thread, which requires an STW phase.
Some GCs (e.g. SGCL for C++) avoid scanning registers entirely, but doing so requires stronger guarantees when sharing data between mutator threads — such as using atomic types or other synchronization mechanisms. Java does not enforce such guarantees by default, so scanning registers (and thus a brief STW) remains necessary.
I'm on Linux and I'm also curious about possible solutions, not just for Isaac, but for any GPU-intensive GUI applications. VGL feels quite slow, xpra is terrible, and options like VNC, noVNC, TurboVNC, etc., don't fit my needs because I don't want a full desktop environment.
Cloud gaming solutions are highly specialized and somewhat encapsulated.
Do you have any updates on this?
For anyone, still looking for a slim, elegant solution to this question in 2025. There is a method call_count in unittest.mock. So you can do a simple assert :
assert mock_function.call_count == 0
or
TestCase.assertEqual(mock_function.call_count, 0)
Spring Boot automatically handles the hibernate session for us. We dont need to manually open or close it. When we use spring data JPA methods like save() or findById(), Spring Boot starts the session, begins a transaction, does the operation, commit it, and close the session — all in background. So, we just write the code for what we want, and spring boot takes care of session management part automaticaly.
The Condition key needs to be capatalized, e.g.:
"Condition" = {
"BoolIfExists" = {
"aws:MultiFactorAuthPresent" = "false"
}
}
When i am making the build of game for android in unity engine 6 so compiler throw an error which is mentioned in below how can i fix it?
"
> Configure project :unityLibrary
Variant 'debug', will keep symbols in binaries for:
'libunity.so'
'libil2cpp.so'
'libmain.so'
Variant 'release', symbols will be stripped from binaries.
> Configure project :launcher
Variant 'debug', will keep symbols in binaries for:
'libunity.so'
'libil2cpp.so'
'libmain.so'
Variant 'release', symbols will be stripped from binaries.
> Configure project :unityLibrary:FirebaseApp.androidlib
WARNING: minSdkVersion (23) is greater than targetSdkVersion (9) for variant "debug". Please change the values such that minSdkVersion is less than or equal to targetSdkVersion.
WARNING: minSdkVersion (23) is greater than targetSdkVersion (9) for variant "release". Please change the values such that minSdkVersion is less than or equal to targetSdkVersion.
> Configure project :unityLibrary:FirebaseCrashlytics.androidlib
WARNING: minSdkVersion (23) is greater than targetSdkVersion (9) for variant "debug". Please change the values such that minSdkVersion is less than or equal to targetSdkVersion.
WARNING: minSdkVersion (23) is greater than targetSdkVersion (9) for variant "release". Please change the values such that minSdkVersion is less than or equal to targetSdkVersion.
WARNING: We recommend using a newer Android Gradle plugin to use compileSdk = 35
This Android Gradle plugin (8.3.0) was tested up to compileSdk = 34.
You are strongly encouraged to update your project to use a newer
Android Gradle plugin that has been tested with compileSdk = 35.
If you are already using the latest version of the Android Gradle plugin,
you may need to wait until a newer version with support for compileSdk = 35 is available.
To suppress this warning, add/update
android.suppressUnsupportedCompileSdk=35
to this project's gradle.properties.
Exception while marshalling C:\Program Files\Unity\6000.0.40f1\Editor\Data\PlaybackEngines\AndroidPlayer\SDK\build-tools\34.0.0\package.xml. Probably the SDK is read-only
Exception while marshalling C:\Program Files\Unity\6000.0.40f1\Editor\Data\PlaybackEngines\AndroidPlayer\SDK\platform-tools\package.xml. Probably the SDK is read-only
Exception while marshalling C:\Program Files\Unity\6000.0.40f1\Editor\Data\PlaybackEngines\AndroidPlayer\SDK\platforms\android-33\package.xml. Probably the SDK is read-only
Exception while marshalling C:\Program Files\Unity\6000.0.40f1\Editor\Data\PlaybackEngines\AndroidPlayer\SDK\platforms\android-34\package.xml. Probably the SDK is read-only
Exception while marshalling C:\Program Files\Unity\6000.0.40f1\Editor\Data\PlaybackEngines\AndroidPlayer\SDK\platforms\android-35\package.xml. Probably the SDK is read-only
Exception while marshalling C:\Program Files\Unity\6000.0.40f1\Editor\Data\PlaybackEngines\AndroidPlayer\SDK\tools\package.xml. Probably the SDK is read-only
Exception while marshalling C:\Program Files\Unity\6000.0.40f1\Editor\Data\PlaybackEngines\AndroidPlayer\SDK\build-tools\34.0.0\package.xml. Probably the SDK is read-only
Exception while marshalling C:\Program Files\Unity\6000.0.40f1\Editor\Data\PlaybackEngines\AndroidPlayer\SDK\platform-tools\package.xml. Probably the SDK is read-only
Exception while marshalling C:\Program Files\Unity\6000.0.40f1\Editor\Data\PlaybackEngines\AndroidPlayer\SDK\platforms\android-33\package.xml. Probably the SDK is read-only
Exception while marshalling C:\Program Files\Unity\6000.0.40f1\Editor\Data\PlaybackEngines\AndroidPlayer\SDK\platforms\android-34\package.xml. Probably the SDK is read-only
Exception while marshalling C:\Program Files\Unity\6000.0.40f1\Editor\Data\PlaybackEngines\AndroidPlayer\SDK\platforms\android-35\package.xml. Probably the SDK is read-only
Exception while marshalling C:\Program Files\Unity\6000.0.40f1\Editor\Data\PlaybackEngines\AndroidPlayer\SDK\tools\package.xml. Probably the SDK is read-only
> Task :unityLibrary:preBuild UP-TO-DATE
> Task :unityLibrary:preReleaseBuild UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:preBuild UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:preBuild UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:preReleaseBuild UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:preBuild UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:preReleaseBuild UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:preReleaseBuild UP-TO-DATE
> Task :unityLibrary:writeReleaseAarMetadata UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:writeReleaseAarMetadata UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:writeReleaseAarMetadata UP-TO-DATE
> Task :unityLibrary:generateReleaseResValues UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:generateReleaseResValues UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:writeReleaseAarMetadata UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:generateReleaseResValues UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:generateReleaseResValues UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:generateReleaseResources UP-TO-DATE
> Task :unityLibrary:generateReleaseResources UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:generateReleaseResources UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:generateReleaseResources UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:packageReleaseResources UP-TO-DATE
> Task :unityLibrary:packageReleaseResources UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:packageReleaseResources UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:extractDeepLinksRelease UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:extractDeepLinksRelease UP-TO-DATE
> Task :unityLibrary:extractDeepLinksRelease UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:packageReleaseResources UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:extractDeepLinksRelease UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:processReleaseManifest UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:processReleaseManifest UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:compileReleaseLibraryResources UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:processReleaseManifest UP-TO-DATE
> Task :unityLibrary:processReleaseManifest UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:compileReleaseLibraryResources UP-TO-DATE
> Task :unityLibrary:compileReleaseLibraryResources UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:compileReleaseLibraryResources UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:parseReleaseLocalResources UP-TO-DATE
> Task :unityLibrary:parseReleaseLocalResources UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:generateReleaseRFile UP-TO-DATE
> Task :unityLibrary:generateReleaseRFile UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:parseReleaseLocalResources UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:javaPreCompileRelease UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:parseReleaseLocalResources UP-TO-DATE
> Task :unityLibrary:javaPreCompileRelease UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:generateReleaseRFile UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:generateReleaseRFile UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:javaPreCompileRelease UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:compileReleaseJavaWithJavac NO-SOURCE
> Task :unityLibrary:processReleaseJavaRes UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:bundleLibCompileToJarRelease UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:javaPreCompileRelease UP-TO-DATE
> Task :unityLibrary:extractProguardFiles UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:compileReleaseJavaWithJavac NO-SOURCE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:bundleLibRuntimeToJarRelease UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:bundleLibCompileToJarRelease UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:compileReleaseJavaWithJavac NO-SOURCE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:processReleaseJavaRes NO-SOURCE
> Task :unityLibrary:prepareLintJarForPublish UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:bundleLibRuntimeToJarRelease UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:createFullJarRelease UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:bundleLibCompileToJarRelease UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:extractProguardFiles UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:bundleLibRuntimeToJarRelease UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:processReleaseJavaRes NO-SOURCE
> Task :unityLibrary:FirebaseApp.androidlib:processReleaseJavaRes NO-SOURCE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:createFullJarRelease UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:extractProguardFiles UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:createFullJarRelease UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:extractProguardFiles UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:generateReleaseLintModel UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:generateReleaseLintModel UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:generateReleaseLintModel UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:prepareLintJarForPublish UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:prepareLintJarForPublish UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:prepareLintJarForPublish UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:mergeReleaseJniLibFolders UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:mergeReleaseJniLibFolders UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:mergeReleaseJniLibFolders UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:mergeReleaseNativeLibs NO-SOURCE
> Task :unityLibrary:FirebaseApp.androidlib:mergeReleaseNativeLibs NO-SOURCE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:mergeReleaseNativeLibs NO-SOURCE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:stripReleaseDebugSymbols NO-SOURCE
> Task :unityLibrary:FirebaseApp.androidlib:stripReleaseDebugSymbols NO-SOURCE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:stripReleaseDebugSymbols NO-SOURCE
> Task :unityLibrary:FirebaseApp.androidlib:copyReleaseJniLibsProjectAndLocalJars UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:copyReleaseJniLibsProjectAndLocalJars UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:extractDeepLinksForAarRelease UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:copyReleaseJniLibsProjectAndLocalJars UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:extractDeepLinksForAarRelease UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:extractDeepLinksForAarRelease UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:extractReleaseAnnotations UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:extractReleaseAnnotations UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:extractReleaseAnnotations UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:mergeReleaseGeneratedProguardFiles UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:mergeReleaseGeneratedProguardFiles UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:mergeReleaseGeneratedProguardFiles UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:mergeReleaseConsumerProguardFiles UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:mergeReleaseConsumerProguardFiles UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:mergeReleaseConsumerProguardFiles UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:mergeReleaseShaders UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:mergeReleaseShaders UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:mergeReleaseShaders UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:compileReleaseShaders NO-SOURCE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:compileReleaseShaders NO-SOURCE
> Task :unityLibrary:FirebaseApp.androidlib:generateReleaseAssets UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:compileReleaseShaders NO-SOURCE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:generateReleaseAssets UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:generateReleaseAssets UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:packageReleaseAssets UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:packageReleaseAssets UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:packageReleaseAssets UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:prepareReleaseArtProfile UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:prepareReleaseArtProfile UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:prepareReleaseArtProfile UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:mergeReleaseJavaResource UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:mergeReleaseJavaResource UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:mergeReleaseJavaResource UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:syncReleaseLibJars UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:syncReleaseLibJars UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:syncReleaseLibJars UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:bundleReleaseLocalLintAar UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:bundleReleaseLocalLintAar UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:bundleReleaseLocalLintAar UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:writeReleaseLintModelMetadata UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:writeReleaseLintModelMetadata UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:writeReleaseLintModelMetadata UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:lintVitalAnalyzeRelease UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:lintVitalAnalyzeRelease UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:lintVitalAnalyzeRelease UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:generateReleaseLintVitalModel UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:generateReleaseLintVitalModel UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:generateReleaseLintVitalModel UP-TO-DATE
> Task :unityLibrary:FirebaseApp.androidlib:copyReleaseJniLibsProjectOnly UP-TO-DATE
> Task :unityLibrary:FirebaseCrashlytics.androidlib:copyReleaseJniLibsProjectOnly UP-TO-DATE
> Task :unityLibrary:GoogleMobileAdsPlugin.androidlib:copyReleaseJniLibsProjectOnly UP-TO-DATE
> Task :launcher:preBuild UP-TO-DATE
> Task :launcher:preReleaseBuild UP-TO-DATE
> Task :launcher:javaPreCompileRelease UP-TO-DATE
> Task :launcher:checkReleaseAarMetadata UP-TO-DATE
> Task :launcher:generateReleaseResValues UP-TO-DATE
> Task :launcher:mapReleaseSourceSetPaths UP-TO-DATE
> Task :launcher:generateReleaseResources UP-TO-DATE
> Task :launcher:mergeReleaseResources UP-TO-DATE
> Task :launcher:packageReleaseResources UP-TO-DATE
> Task :launcher:parseReleaseLocalResources UP-TO-DATE
> Task :launcher:createReleaseCompatibleScreenManifests UP-TO-DATE
> Task :launcher:extractDeepLinksRelease UP-TO-DATE
> Task :launcher:processReleaseMainManifest UP-TO-DATE
> Task :launcher:processReleaseManifest UP-TO-DATE
> Task :launcher:processReleaseManifestForPackage UP-TO-DATE
> Task :launcher:processReleaseResources UP-TO-DATE
> Task :launcher:extractProguardFiles UP-TO-DATE
> Task :launcher:mergeReleaseNativeDebugMetadata NO-SOURCE
> Task :launcher:checkReleaseDuplicateClasses UP-TO-DATE
> Task :launcher:desugarReleaseFileDependencies UP-TO-DATE
> Task :launcher:mergeExtDexRelease UP-TO-DATE
> Task :launcher:mergeReleaseShaders UP-TO-DATE
> Task :launcher:compileReleaseShaders NO-SOURCE
> Task :launcher:generateReleaseAssets UP-TO-DATE
> Task :launcher:extractReleaseVersionControlInfo UP-TO-DATE
> Task :launcher:processRelease<message truncated>
"
I faced this error during java upgrade from java 11 to java 17. More info in post :
This is not a general solution, but should work for go tools: https://github.com/u-root/gobusybox
Consider wrapping everything inside .nav in a .container div if you plan to control width globally.
For vertical centering, you could also add align-items: center; to .nav-main-cta if needed.
Make sure your media queries don’t override display: flex on .nav-main-cta.
Here motivated by the accepted answer, it might be useful to extend the function to remove both leading and trailing spaces.
Find What: ^\h+|\h+$|(\h+)
Replace With: (?{1}\t:)
^\h+ → Leading spaces (uncaptured).
(\h+) → Captures internal spaces (Group 1).
\h+$ → Trailing spaces (uncaptured).
If Group 1 (internal spaces) exists → Replace with \t (tab).
Else (leading/trailing spaces) → Replace with nothing (empty string).
Just to note that I'm also experiencing this error in 2025. When I follow the steps above, this is what I get after running a terraform command like apply:
│ Error: Unsupported argument
│
│ on main.tf line 36, in resource "google_monitoring_alert_policy" "request_count_alert":
│ 36: severity = "WARNING"
│
│ An argument named "severity" is not expected here.
Starting from .NET 8 there's a new extension method available for IHttpClientBuilder - RemoveAllLoggers()
Usage:
services.AddHttpClient("minos")
.RemoveAllLoggers()
Related GitHub issue link: [API Proposal] HttpClientFactory logging configuration
$('#dropdownId').val("valueToBeSelected");
Presumably, you also need to install the alsa-lib-devel package which contains the ALSA development libraries.
Assuming you have a list of numpy arrays, you can concatenate them and take the sum on batched axis and finally clip the resulting numpy array in order the values summed to be maximum of 1.
resulting_arr = np.clip(np.sum(np.concatenate(list_of_arr, axis = 0), axis = 0), a_min = 0, a_max = 1)
# list_of_arr = [np.array([0, 1, 0]), np.array([0, 0, 0]), np.array([0, 1, 1])]]
# resulting_arr = np.array([0, 1, 1])
You’re on the right track with Minimax and Alpha-Beta Pruning. Start by defining all valid moves for your pieces (move 1–2 cells, clone 1 cell), then implement Minimax to simulate turns and evaluate board states. Use a scoring function (e.g., +1 per AI piece, -1 per opponent) and pick the move with the best outcome. Add Alpha-Beta Pruning to optimize performance.
You can check out this article for a simplified intro to AI concepts.
In translucent material set translucency pass to "Before DOF". Or in post process material set blendable location to "Scene Color Before Bloom" or "Scene Color After Tonemapping".
Also, if you don't need to manualy select where translucency should be composed you can disable Separate Translucency in project settings and it will be affected by post process material regardless of it's blendable location.