I would also like to know, I am facing the same issue, all the tables in dataverse are empty which are described here https://learn.microsoft.com/en-us/dynamics365/sales/conversation-intelligence-data-storage, only recordings(deprecated)table has records, but it has conversationId and some c drive location of where recording may be stored. But how can I figure that out? I do not know which azure storage resource has been used here.

Setting .opts(toolbar=None) should work since HoloViews 1.13.0.

2025-03-14: If you happen to be running Chrome Canary or Chrome Dev, this is a recent bug that has already been fixed. https://issues.chromium.org/issues/407907391

I don't use Flutter, but I had the same error. In my case I had to update the Firebase pod from 10.25.0 to 11.11.0 with command pod update Firebase. After that my project build and run without any errors.

enter image description here

can you tell me where I have to insert the code.

best regards
Patrick

Can you help with the flutter code for this

Type 'undefined[]' is not assignable to type 'number'.ts(2322) apexcharts.d.ts(859, 5): The expected type comes from property 'size' which is declared here on type '{ size?: number; strokeWidth?: number; fillColors?: string[]; shape?: ApexMarkerShape; offsetX?: number; offsetY?: number; customHTML?(): any; onClick?(): void; }' (property) size?: number

getting an error like when passing array to the legends.marker.size

On GitHub the vipsthumbnail community was able to confirm that this functionality isn't possible. https://github.com/libvips/libvips/discussions/4450

I am facing the same issue but I am getting an error that terragrunt command cannot be found. I can see that you managed to fix it but I am wondering how you implemented terragrunt in the atlantis image. I am using AWS ECS to deploy this and I am looking for some advice on how you installed the terragrunt binary

you should add the permission in the manifest.json in the root of your project.

Both apple and Google require reviews for apps coming to their stores and will deny access to health data or even deployment on stores without proper permission

(1) is my assumption about public IP correct, and this wouldn't show up in the cloudwatch logs due to that?

No, your assumption is wrong. If you capture all (rejected and accepted) traffic then traffic to and from your public IP entering and leaving your VPC will be logged.

(2) are there any other things I could check in terms of logs?

Nothing springs to mind - your VPC flow logs are key here and should tell you where to look next.

I was asking me the same question. and I found the templates from roadie: https://github.com/RoadieHQ/software-templates/blob/main/scaffolder-templates/create-rfc/template.yaml seems like they will pull the template of the RFC from the template repo and place it in docs/rfcs/<rfc>/index.md as the new RFC document. so to answer the question: by using the work around of pulling just that one file from a template repo and creating the PR it should be possible

I can't comment because for some reason SO requires MORE reputation for comments than posting an answer...seems a bit backwards to me.

Anyway, neither the accepted answer or Silvio Levy's fix work.

Version: 137.0

In case you are using Next.js or Express.js application, you can follow this answer: Deleting an httpOnly cookie via route handler in next js app router

At the end of simulation you can add the travelled distance to whatever statistic or output you want. There is a section on the official documentation Transporter API that is specifically called Distance. You can find there functions to calculate distance.

Good afternoon!

I was having the same problem and I solved it by adding a web.config file in the application's root directory, as below:

1. Create a file called web.config and save it in the root directory of your application;

2. The content of the file must be something like:

Setting a Firefox bookmark to set the volume to 1%:

javascript:(function(){document.querySelector(".html5-video-player").setVolume(1);})();

everyone.

Just to close the thread... unfortunately with no useful answer.

I aborted the simulation in progress after 16 hours and 21 minutes, absolutely fed up. It was on about 50% of the simulation (about 49000 out of 98000). Then, I added some tracking of the duration (coarse, counting seconds) of both code blocks (list generation from files, and CNN simulation), and re-run the same "49000" simulations as the aborted execution. Surprisingly, it took "only" 14 hours and 34 minutes, with regular durations of every code block. That is, all the list generations took about the same time, and so the CNN simulations. So, no apparent degradation showed.

Then, I added, at the end of the main loop, a "list".clear() of all lists generated, and repeated the "49000" simulations of the CNN. Again, the duration of both blocks was the same in all iterations, and the overall simulation time was 14 hours and 23 minutes, just a few shorter than without the list clearing.

So, I guess that there is no problem with my code after all. Probably, the slowdown that I experienced could be due to any kind of interference by the OS (Windows 11; perhaps any update or "internal operation"?) or the anti-virus. Well, I'll never know, because I'm not going to lose more time repeating such slow experiment. I'll just go on with my test campaign, trying not to desperate (Zzzzzz).

Anyway, I want to thank you all your interest and your comments. As I'm evolving to "pythonic", I'll try to incorporate your tricks. Thanks!

After some lecture & exercises I managed to successfully run such a Dockerfile:

FROM postgres:9

ENV PG_DATA=/usr/data
RUN mkdir -p $PG_DATA
COPY schema.sh /docker-entrypoint-initdb.d/
RUN chmod +x /docker-entrypoint-initdb.d/schema.sh
COPY .env /usr/local/bin/
COPY source.sh $PG_DATA
RUN chmod +x $PG_DATA/source.sh
RUN $PG_DATA/source.sh
ENV PGDATA=/var/lib/postgresql/data

with contents as follow:

source.sh

#!/bin/bash -x
TEXT_INN="set -a && . .env && set +a"
sed -i "2 a $TEXT_INN " /usr/local/bin/docker-entrypoint.sh

.env

#POSTGRES_USER=adminn
POSTGRES_PASSWORD=verysecret
#POSTGRES_DB=somedata
POSTGRE_ROOT_USER=adminn
POSTGRE_ROOT_PASSWORD=lesssecret
POSTGRE_TABLE=sometable
POSTGRE_DATABASE=somedata

schema.sh

#!/bin/bash

set -a && . .env && set +a

psql -v ON_ERROR_STOP=1 -d template1 -U postgres <<-EOSQL
CREATE USER $POSTGRE_ROOT_USER WITH PASSWORD '$POSTGRE_ROOT_PASSWORD';
CREATE DATABASE $POSTGRE_DATABASE WITH TEMPLATE = template0 ENCODING = 'UTF8' LC_COLLATE = 'en_US.utf8' LC_CTYPE = 'en_US.utf8';
ALTER DATABASE $POSTGRE_DATABASE OWNER TO $POSTGRE_ROOT_USER;
SELECT usename, usesuper, usecreatedb FROM pg_catalog.pg_user ORDER BY usename;
SELECT table_schema,table_name FROM information_schema.tables WHERE table_schema NOT LIKE ALL (ARRAY['pg_catalog','information_schema']) ORDER BY table_schema,table_name;
EOSQL

Container (with funny name) is running but I can not connect to it out the docker. Try localhost:5432 but does not work. How can I find useful url out the docker?

Thanks...

The error was mine... the method should be call GetProductByNameAsync

It does not work if it is NOT Async..

Thanks all @Jon Skket

I don't know how about efficiency, but that's definitely the clearest way:

int _signsCount(String input, String sign) => sign.allMatches(input).length;

After days of shooting cans we found the culprit.

the user being used on the server for this particular app didnt have the necessary permissions to open files like .env so Laravel didn't know what to do, hence being slow. (roughly speaking, don't know specifics).

Hope this helps anyone in the future having similar issues

NOTE: I know the op question is not what im writing but since searching the error led me here, I just wanted to make sure people see this.

For Those who face this problem during import of fresh installed tensorflow:

A module that was compiled using NumPy 1.x cannot be run in NumPy 2.2.4 as it may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0. Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

i can confirm that this is an easy working sample for having latest windows native tensorflow supporting gpu.

environment is as follow:

windows 11 pro 24H2 build 26100.3624
rtx3060 GPU with insatalled gpu driver (latest preferebelly)
Anaconda3-2024.10-1

so i try to be newbie friendly(as I'm one of those)

1. After that open Anaconda Navigator head over to Environments section.
2. From menu on the bottom of the screen click Create, choose a name for your environment, check the pyhton language and select Pyhton3.10.X-(in my case was 3.10.16 but should be ok if your X is different) and Press green button Create.

NOTE: According to Tensorflow windows-native installation guide and Tested GPU Build Configurations the latest python supported is 3.10 and

Tensorflow GPU will NOT SUPPORT PYTHON > 3.11 and 3.12 and later ON WINDOWS NATIVELY! (You can Install it using WSL2 following this guide.

3. After Environment Creation, you see its activated and there is a little green play button click on it and select Open Terminal to open a cmd (or whatever command line) inside that environment, you can tell by the name of the environment inside a pair of prantheses before the path like below.

(my-tensorflow-env) C:\Users\someone>

4. Use this command to install cudatoolkit and cudnn easilly inside your isolated environment. (for me was two ~650 MB files to download since the versions are fixed, you probabely see similar)

conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0

5. Now Before installing tensorflow downgrade Numpy to version 1.X.

pip install "numpy<2.0"

6. Now for the last part install tensorflow.(it may take a while also prepare a reliable connection as pip is vulrenble to connection issue, also dont panic if it connection timed out or whatever, just the command again nothing is broken)

python -m pip install tensorflow==2.10.0

7. to test the redemption inter this command:

python -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"

if you see something like:

[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]

Congrats! enjoy GPU.

Session encryption settings is controlled via .env's parameter

SESSION_ENCRYPT

It also could be overriden via /config/session.php encrypt seting

Compute the class weights manually or use sklearn.utils.class_weight.compute_class_weight().

and

model.fit(X_train, y_train, epochs=10, batch_size=32, class_weight=class_weight_dict)

install as this:

https://youtu.be/eACzuQGp3Vw?si=yq7VFKPWjVSEMj2W

and if it does not works (like for me) with the GUI installer do at the end:

sudo dpkg -i linux_64_18.2.50027_unicode.x86_64.deb

It turns out that the `phone_number` and `phone_number_verified` were both required by my user pool. From the AWS docs:

For example, users can’t set up email MFA when your recovery option is Email only. This is because you can't enable email MFA and set the recovery option to Email only in the same user pool. When you set this option to Email if available, otherwise SMS, email is the priority recovery option but your user pool can fall back to SMS message when a user isn't eligible for email-message recovery.

Ultimately the problem was that you cannot have MFA with email only and have it be the only recovery option. SMS is required in those cases.

Source: https://docs.aws.amazon.com/cognito/latest/developerguide/user-pool-settings-mfa.html

Regarding this issue, I checked with Apple engineers and Scenekit does not support this feature.

I added a suggestion for improvement and as soon as I have some feedback I will post it here.

Here is the link to the request.

https://developer.apple.com/forums/thread/776935?page=1#832672022

Use playsinline along with autoplay on iframe src as such:

<audio src="test.mp3" autoplay playsinline></audio>

citation: HTML5 Video autoplay on iPhone

When I changed computers, I also changed the version of OpenTK. I created a test project using Visual Studio 2022 (with C#) and tried several versions of both OpenTK and OpenTK.GLControl. The latter didn't work. So, what I did was try OpenTK version 3.3.3 along with OpenTK.GLControl version 1.1.0, and it worked.

Something appeared after a year after this discussion.
Cosmopolitan libc v0.1 (2021-01-28)
Most recent version is 4.0.2

https://justine.lol/cosmopolitan/download.html

Qiskit Machine Learning 0.9.0 has not been released. Its still work in progress and does not support Qiskit 2.0 either. Qiskit 0.44 is too old. The requirements need >1.0 see https://github.com/qiskit-community/qiskit-machine-learning/blob/0a114922a93b6b8921529ada886fe9be08f163b2/requirements.txt#L1 for this (that's on the 0.8 branch and on main its been pinned to <2.0 as well at present). Try installing the latest version prior to 2.0 i.e Qiskit 1.4.2 which should have things working for you.

Thanks for this solution of merging html files together. I tried this and it worked however, I am facing repetition issue, if I have five files that I want to merge, each file gets merged 5 times. That is file 1 will merge 5 times before file 2, etc Is there a way around this

Adding the Microsoft.Windows.Compatibility NuGet package fixed this error in my case without adding the magic lines to the csproj file.

I found that I needed to add the Microsoft.Windows.Compatibility NuGet package. Although I also changed from .NET 7.0 to .NET 8.0 and added the magic lines to my csproj file from this answer all at the same time. Removing the magic csproj file lines still works and I would imagine reverting to .NET 7.0 would as well.

not sure if what worked for me is a good practice, but I needed a conditional lambda, which worked this way:

• If variable A is 'Not A', I want to set variable A to 'A' and variable B to 'B'

• else (if variable A is 'A'), I want to set variable A to 'Not A' and variable B to 'Not B'

lambda: (variable_a='A', variable_b='B') if variable_a=='Not A' else (variable_a='Not A', variable_b='Not B')

The solution was to set the background-image property and include !important

so the end result would be:

.gradientBackground {
  background-image: linear-gradient(to bottom right, white, black) !important;
}

Did you find any solution?

Or do we need seller account ?

How many tickets are where ? How can I check ?

There is always one ticket (the service ticket) under ap-req > ticket. It's sent in the clear, but always paired with a one-time authenticator (aka checksum) that proves the client knows the session key.

When delegation is enabled, the second ticket (delegated) is stored within that authenticator, under ap-req > authenticator > cipher > authenticator > cksum > krb-cred.

How many tickers are in request ?

Impossible to tell from the screenshot.

if there are 2: please point me out to them. And how to accept them on server side ?

It should be automatically stored as part of the server's (acceptor's) GSSContext. That seems to be happening here and here.

if there is 1: How should I add one more ticket ?

In HTTP, at least as far as I understand it, the client needs to perform delegation proactively (since only one step is possible for GSSAPI so the server can't request it).

1. The client's klist needs to show a TGT that is forwardable.

   Also, the user principal needs to not have any KDC-side restrictions. For example, Domain Admins on Windows might have the "This account is sensitive and cannot be delegated" flag set on them.

2. If the HTTP service ticket happens to be cached in klist, then it should show the ok_as_delegate flag, corresponding to "Trust this user for delegation[...]".

   Windows and some other clients require that flag (treating it as admin-set policy), other clients ignore that flag and always delegate if configured; e.g. a Java client could use requestDelegPolicy().

3. The HTTP client needs to be configured to do delegation.

   In Firefox, network.negotiate-auth.delegation-uris would be set to https:// for example or to .example.com (or a combination) to make the browser initiate delegation. (Make sure you don't make the 'delegation' list too broad; it should only allow a few specific hosts.)

   With curl you would specify curl --negotiate --delegation always (doesn't work for me on Windows, but does work on Linux).

   If you were making a custom HTTP client in Java, I think you would call .requestCredDeleg(true) on the GSSContext object before getting a token.

I unzipped and then zipped:

SELECT
    boxes.box_id,
    ARRAY_AGG(contents.label)
FROM
    boxes,
    LATERAL FLATTEN(input => boxes.contents) AS item,
    contents
WHERE
    item.value = contents.content_id
GROUP BY boxes.box_id
ORDER BY boxes.box_id;

i accidently deleted all the files

Deleting the Derived Data solved it for me.

I found the real problem. The phone I use for debugging is Android 11. When I went to install the app, it complained about minimum SDK version. Without thinking, I changed that and didn't notice the newly appearing yellow warning marks on the permissions.

Moving to a phone with Android 12 and building for that fixes everything.

I do really need to target Android 11, so I'll have to set up the coding to support both, but I can do that now that I understand.

pytorch should be installed via pip as conda is not supported. You can follow the instructions here https://pytorch.org/get-started/locally/

For Cuda 11.8 the command is

pip3 install torch --index-url https://download.pytorch.org/whl/cu118

To be sure, you can first uninstall other version

python -m pip uninstall torch
python -m pip cache purge

You can do this easily with Raku/Sparrow:

begin:
regexp: ^^ \d\d "/" \d\d "/" \d\d\d\d
generator: <<RAKU
!raku
say '^^ \s+ "', config()<pkg>, '" \s+';
RAKU
end:

code: <<RAKU
!raku
for matched() -> $line {
    say $line
}
RAKU

Then just - s6 —task-run@pkg=openssl.base

Please note it is only available in Snowsight. Since you are unable to view the code collapse feature I am assuming you are logging in directly to classic console.

You just need to navigate to Snowsight from Classic console as mentioned in documentation

It should not be an access issue as even your account is in the first stage of Snowsight upgrade you can still choose between classic console and Snowsight.

Documentation:

I was able to do it like this in Visual Studio 2022:

@{ #region Some region }
<p>Some HTML</p>
<p>Some more HTML</p>
@{ #endregion }

Try invalidating the cache, and when Android Studio opens again, the "code", "split", and "design" buttons should appear. On Mac, you can invalidate the cache by going to: File → Invalidate Caches → Invalidate and Restart.

Got it! changed /n to <br>

"value": "@{items('For_each')?['job_description']} is over due <br>"

Starship supports Enabling Right Prompt. Work for me on MacOS with the zsh shell. I tried add_newline = false but it doesn't work for me. I don't know if they have the option for Left Prompt 😂.

You can go on Kaggle (which is a place where you can find datasets and Machine Learning Models), sign up, and go to the "learn" section. There, you can learn basic Pandas and data visualization. For numpy, https://numpy.org/learn/ has a bunch of resources. Hope this helps!

Fixed it by adding --wait argument to the command in the .gitconfig file (or ./.git/config file for local change). Like:

[diff]
    tool = vscode
[difftool "vscode"]
    cmd = code --wait --diff $LOCAL $REMOTE

Then running the following command:

git difftool --no-prompt --tool=vscode ProgrammingRust/projs/actix-gcd/src/main.rs

The issue was due to a difference between general tflite implementations and specifically tflm implementations. TfLite will not specify the dimensions of the output tensors prior to the model being invoked and instead relies on dynamically allocating the necessary space when the model is invoked. TFLM does not support dyanmic allocation and instead relies on the predefined dimensions from the metadata of the tflite model to statically allocate. I used netron.app to determine that this metadata was missing. I used the flatbuffer compiler to convert the .tflite file to a .json file where I could see and manipulate the metadata:

.\flatc.exe -t --strict-json --defaults-json -o . schema.fbs -- model2.tflite

I added the missing dimensions to the output tensors and then recompiled from the json back into a .tflite file:

flatc -b --defaults-json -o new_model schema.fbs model2.json

Make sure to have all the proper file paths, I put all of mine in the same folder.

In Rails 6+, you can invalidate a specific fragment using:

Rails.cache.clear(key: "the-key")

this happened to me in Angular 16, and the solution was check the @ng-bootstrap/ng-bootstrap table Dependencies, and use the exactly ng-bootstrap, Bootstrap CSS and Popper versions, for my angular version.

I also faced similar problem after updating Android Studio to Ladybug. My Flutter project was in working condition but after updating Android Studio, started getting this error. After browsing through many answers, below steps solved the issue:

1. Open the android folder in the flutter project folder into Android Studio and update the Gradle and Android Gradle Plugin to the latest version (You can update using the Update prompt you get when you open the project or manually).

2. In the android/app/build.gradle file make sure correct JDK version is being used in compileOptions and kotlinOptions blocks.

   

3. Make sure the correct Gradle and Android Gradle Plugin versions are used in the build.gradle file.

what does --only-show-errors command do in such case ? Will it be helpful to track only errors ? - https://learn.microsoft.com/en-us/cli/azure/vm/run-command?view=azure-cli-latest#az-vm-run-command-invoke-optional-parameters

Have you given a try ?

It's the apostrophe in one of the labels that did it. I thought the `""' construction in `splitvallabels' could deal with it, but it can't. Will have to change the labels I guess. Also see here.

i know its an old post, but here are steps


download glab

generate a token under gitlab instance you have access to

GITLAB_HOST=https://your-gitlab-host ./glab auth login

GITLAB_HOST=https://your-gitlab-host ./glab repo clone --group group-you-have-access

I believe the URL you are requesting is already cached with the CORS response and you need to invalidate it first.

Your CloudFront configuration shows that you are not caching "OPTIONS" methods, so the preflight calls will be accessing non-cached version of the URLs - allowing the CORS test site to return a successfuly response, since it never executes the actual GET request. However, GET is cached by default, so if you tested this access before setting these header configurations on S3/CloudFront, you would be still getting the cached response.

These are JSON numbers in string format. Based on SQL syntax notation rules. The GoogleSQL documentation commonly uses the following syntax notation rules and one of those rules are: Double quotes ": Syntax wrapped in double quotes ("") is required.

Based on working with JSON data in GoogleSQL, By using the JSON data type, you can load semi-structured JSON into BigQuery without providing a schema for the JSON data upfront. This lets you store and query data that doesn't always adhere to fixed schemas and data types. By ingesting JSON data as a JSON data type, BigQuery can encode and process each JSON field individually. You can then query the values of fields and array elements within the JSON data by using the field access operator, which makes JSON queries intuitive and cost efficient.

if you go on the code window, and click on the line numbers you will see a down arrow, you can click and collapse it .

try to tick this settings on excel
enter image description here

sir did you solve the problem?

You can achieve this by adding .devcontainers/ to a global .gitignore file.

See this answer for more information on how to achieve this.

With this set up, all my dev containers are ignored until they are explicitly tracked in the repo.

KazuCocoa pointed me to the documentation, which makes it clear:

https://appium.github.io/appium-xcuitest-driver/latest/reference/locator-strategies/

name, accessibility id : These locator types are synonyms and internally get transformed into search by element's name attribute for IOS

There are multiple ways how you can achieve this:

1. Use outputPath in angular.json
2. Create a shell script, which does it for you.
3. If you are interested in this automatization when you deploy your app and you are using Docker, you can use Dockerfile. It is briefly documented in the last point of the article https://medium.com/@boris.haviar/serving-angular-ssr-with-django-8d2ad4e894be

The answer can be found at this link, github.com/jetty/jetty.project/issues/12938.

This is what was posted in the link by joakime

"If the work directory contents do not match the WAR it's re-extracted.
If you don't want this behavior, then don't use WAR deployment, use Directory deployment.
Just unpack the WAR into a directory in ${jetty.base}/webapps/<appname>/ and use that as the main deployment. (just don't put the WAR file in ${jetty.base}/webapps/)"

Though, I would've like an option for altering the work directory in emergency scenarios.

Turns out the problem was simply that my python script was not named main, and there was another python app main.py on the same working directory.

For anyone else who may face similar issues in the future:

Please note that the name of your python script should match the uvicorn.run("<filename>:app", ...) part.

Hello and welcome to Los pollos hermanos family My name is Anton Chigurh but you can call me Gus

Trust me, this must work!

import * as Icons from "@mui/icons-material";
const { Home } = Icons;

The TuningModel.RandomSearch ranges documentation specifies "a pair of the form (field, s)".
To specify field samplers:

• use Tuple syntax (:fieldname, s)
• not Pair syntax :fieldname => s

I had this same issue when I was starting out and all I had done was miss the starting @ off the package name.

So npm -i primeng

this caused the forced github login prompt

But npm -i @primeng

This was what I meant to type and worked as expected but because I was a n00b I didn't notice I'd missed off the @ symbol.

So....

• npm -i packagename : WRONG
• npm -i @packagename : RIGHT

Stepping into the Go SDK's internals after the program finishes is expected in this case. The debugger continues to operate even after your program's code has completed. We are considering a feature to hide these internal debugger steps from the user if the user requests it, so it appears that the debugger stops cleanly after your program finishes. Here is a feature request tracking this improvement: https://youtrack.jetbrains.com/issue/GO-10534

Have you tried adding the top level CompanyAPI to your PYTHONPATH environment variable?

I don't think you should need to use hidden-imports.

How about restricting Access by IP range?

1. Go to organization settings → security → IP restrictions
2. Add allowed corporate IP addresses
3. Block all other external IP addresses

... or use restricted git authentication via PAT policies:

1. Go to organization settings → security -> policies
2. Under "Personal Access Tokens", disable PAT usage
3. Under git Credential manager", require azure AD authentication

Problem is that PATs are easy to misuse, and I see PATs getting misused a LOT of times.

if you still want to have one container instead of 2/3 check this article. https://medium.com/@boris.haviar/serving-angular-ssr-with-django-8d2ad4e894be

The compression can be specified per column using the USING COMPRESSION syntax:

CREATE TABLE my_table(my_col INTEGER USING COMPRESSION bitpacking);

To make things work we need to use the method replaceText() to replace a text in the document body then using the reverse() method to reverse the text.

Sample Script:

function myFunction() {
  const docs = DocumentApp.getActiveDocument();
  const body = docs.getBody();
  // store your variable names with value here
  const [varOne, varTwo, varThree] = ["foo", "bar", "sample"]

  // reverse the string by converting the it into array by using split and convert it back to string by using join method
  const reverseText = (string) => {return string.split("").reverse().join("")}

  // using replaceText to replace a text in the body
  body.replaceText("{variableOne}", reverseText(varOne));
  body.replaceText("{variableTwo}", reverseText(varTwo));
  body.replaceText("{variableThree}", reverseText(varThree));
}

Output:

Note: Image is for visibility only.

Sample Input:

Sample Output:

Reference:

• replaceText
• Reverse a String in JavaScript

Hi I have the exact same Problem!!

I use python and marimo in a uv env in my workspace Folder (Win11) . And get the same marimo not loading problem and want to share some Additional information, that could maybe help:

screenshot

Basically it seems the ports of the marimo server, the marimo VSCode extention and the native VSCode notebook editor do not match up. When I change the port in the marimo VSCode Extention from 2818 to 2819, the marimo server starts on port 2820, but not always, it seems the port difference of 1 between settings and marimo server start is only happening sporadically.

I managed to at one point get all ports to match up, but still had the same issue:

screenshot2

Also restarting my PC, VSCode, it's extentions, or marimo did not work for me.

I have some doubt:
I am getting the Error as:

Argument of type "tuple[Any, NDArray[Any] | Unbound, NDArray[Any] | Unbound] | tuple[Any, NDArray[Any] | Unbound] | Any | tuple[Any | Unknown, Unknown, Unknown] | tuple[Any | Unknown, Unknown] | Unknown" cannot be assigned to parameter "x" of type "ConvertibleToFloat" in function "__new__"
  Type "tuple[Any, NDArray[Any] | Unbound, NDArray[Any] | Unbound] | tuple[Any, NDArray[Any] | Unbound] | Any | tuple[Any | Unknown, Unknown, Unknown] | tuple[Any | Unknown, Unknown] | Unknown" is not assignable to type "ConvertibleToFloat"
    Type "tuple[Any, NDArray[Any] | Unbound, NDArray[Any] | Unbound]" is not assignable to type "ConvertibleToFloat"
      "tuple[Any, NDArray[Any] | Unbound, NDArray[Any] | Unbound]" is not assignable to "str"
      "tuple[Any, NDArray[Any] | Unbound, NDArray[Any] | Unbound]" is incompatible with protocol "Buffer"
        "__buffer__" is not present
      "tuple[Any, NDArray[Any] | Unbound, NDArray[Any] | Unbound]" is incompatible with protocol "SupportsFloat"
        "__float__" is not present
      "tuple[Any, NDArray[Any] | Unbound, NDArray[Any] | Unbound]" is incompatible with protocol "SupportsIndex"
  ...

code section is as:

def calculating_similarity_score(self, encoded_img_1, encoded_img_2):
        print(f"calling similarity function .. SUCCESS .. ")
        print(f"decoding image .. ")
        decoded_img_1 = base64.b64decode(encoded_img_1)
        decoded_img_2 = base64.b64decode(encoded_img_2)

        print(f"decoding image .. SUCCESS ..")
        # Read the images

        print(f"Image reading ")
        img_1 = imageio.imread(decoded_img_1)
        img_2 = imageio.imread(decoded_img_2)
        print(f"image reading .. SUCCESS .. ")

        # Print shapes to diagnose the issue
        print(f"img_1 shape = {img_1.shape}")
        print(f"img_2 shape = {img_2.shape}")

        # ")
        # Convert to float
        img_1_as = img_as_float(img_1)
        img_2_as = img_as_float(img_2)
        print(f"converted image into the float ")

        print(f"calculating score .. ")
        # Calculate SSIM without the full parameter
        if len(img_1_as.shape) == 3 and img_1_as.shape[2] == 3:
            # For color images, specify the channel_axis
            ssim_score = ssim(img_1_as, img_2_as, data_range=img_1_as.max() - img_1_as.min(), channel_axis=2, full=False, gradient=False)
        else:
            # For grayscale images
            ssim_score = ssim(img_1_as, img_2_as, data_range=img_1_as.max() - img_1_as.min())
        print(f"calculating image .. SUCCESS .. ")

        return ssim_score

so upon returning the value form this function I and adding the operator on it like:
if returned_ssim_score > 0.80: ## then for this line it gives me the above first one error.
but when I am printing this returned value then it is working fine like showing me the v alue as: 0.98745673...

so can you help me with this

The solution is this : add your sso role as IAM or Assumed Role with a wildcard to match all users in that role : AWSReservedSSO_myname_randomstring/* .

The caveat is that the approval rule is not re-evaluated after updating the rule , so you need to delete and recreate the pull request .

Press combine keys Shift + Right click, Save as

@Tiny Wang

You can reproduce it with following code in a form.

 @(Html.Kendo().DropDownListFor(c => c.reg)
     .Filter(FilterType.Contains)
     .OptionLabel("Please select a region...")
     .DataTextField("RegName")
     .DataValueField("RegID")
     .Events( e=>e.Change("onRegionChange"))
     .DataSource(source =>
     {
         source.Read(read =>
         {
             read.Action("GetRegions", "Location");
         });
     })
     )

 @Html.HiddenFor(m => m.LocationId)
 @(
     Html.Kendo().DropDownListFor(c => Location)
         .Filter(FilterType.Contains)
         .OptionLabel("Please select an office...")
         .DataTextField("OfficeName")
         .DataValueField("OfficeId")
         .Events(e => e.Change("changeDefLocation"))
         .AutoBind(true)
         .DataSource(source =>
         {
             source.Read(read =>
             {
             read.Action("GetLocations", "Location").Data("additionalInfo");
             });
     })
     )


@(Html.Kendo().MultiSelectFor(m => m.OtherLocation)
    .DataTextField("OfficeName")
    .DataValueField("OfficeId")
    .DataSource(dataSource =>
    dataSource.Read(x => x.Action("GetLocationss", "Location").Data("sdaAndLocinfo"))
    .ServerFiltering(false)
    )
    .Events( x=>x.Change("OnOfficeChange"))
    .AutoBind(true)
    )
     

Can I upload a document to an Issue in github?

Yes. Search for:

<span
  data-component="text"
  class="prc-Button-Label-pTQ3x"
> Paste, drop, or click to add files </span>

This shall invoke <input type="file">.

I have a document that I would like to reference from a github issue, but there is not a way to upload it. Any ideas?

Unfortunately, its Accept header is */*, which means that all file upload type validation occurs server-side.

If you upload an impermissible file type (say, .pak), you shall see:

File type not allowed: .pak

However, this occurs after file upload. To avoid this, GitHub luckily documents its upload restrictions:

Types ^[1]

We support these files:

• PNG (.png)

• GIF (.gif)

• JPEG (.jpg, .jpeg)

• SVG (.svg)

• Log files (.log)

• Markdown files (.md)

• Microsoft Word (.docx), PowerPoint (.pptx), and Excel (.xlsx) documents

• Text files (.txt)

• Patch files (.patch)

  If you use Linux and try to upload a .patch file, you will receive an error message. This is a known issue.

• PDFs (.pdf)

• ZIP (.zip, .gz, .tgz)

• Video (.mp4, .mov, .webm)

Sizes ^[2]

The maximum file size is:

• 10MB for images and gifs
• 10MB for videos uploaded to a repository owned by a user or organization on a free plan
• 100MB for videos uploaded to a repository owned by a user or organization on a paid plan
• 100MB for videos
• 25MB for all other files

@Parfait
I am getting error "NoneType' object has no attribute 'text'.

All the "content" nodes (sort to be based upon) has some value in it.

venv being now in standard python library, there is no need to install virtualenv (apart from some very peculiar circumstances):

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

I have the same question: can someone tell me if I can adjust the estimation window? As I understand the package description, all the data available before the event date is used for the estimation.

"estimation.period: If “type” is specified, then estimation.period is calculated for each firm-event in “event.list”, starting from the start of the data span till the start of event period (inclusive)."

That would lead to different length of the estimation depending on the event date. Can I manually change this (e.g estimation window t:-200 until t:-10)?

Removing headers is not actual solution if you actually use the Appname-Swift.h header - in such cases you need to find which additional headers to import in order to fix the issue. The solution for current issue can be

#import <PassKit/PassKit>

Found the solution in this thread: https://stackoverflow.com/a/34397364/1679620

For anyone looking for how read files in tests, You can just import like so:

import DATA from "./data.txt";

To answer your question directly, you are assigning a display name to the original 'Popover' component, not your custom wrapper. I don't know why you would have to do that in the first place as that behavior is generally implicit when exporting components, unless you are generating components with a factory function.

Perhaps related but still breaking code, you have your state defined outside the component which is a no-no. I would try and moving the state inside the component wrapper.

I can't think of a compelling reason to re-export 'Popover' as this should be accessible straight from the package.

I was able to resolve similar problem on Oracle Linux 8 with SELinux enabled like this:

sudo yum install policycoreutils-python-utils 

sudo setsebool -P use_nfs_home_dirs 1

sudo semanage fcontext -a -t nfs_t "/nethome(/.\*)?"

sudo restorecon -R -v /nethome

NFS share here is /nethome

Thank you Jon. That was very helpful.

public void CheckApi(string apiName, ref Int64 apiVersion)
{
  Int64 v1 = FileVersionInfo.GetVersionInfo(apiName).FileMajorPart;
  Int64 v2 = FileVersionInfo.GetVersionInfo(apiName).FileMinorPart;
  Int64 v3 = FileVersionInfo.GetVersionInfo(apiName).FileBuildPart;
  Int64 v4 = FileVersionInfo.GetVersionInfo(apiName).FilePrivatePart;

  apiVersion = (v1 << 48) | (v2 << 32) | (v3 << 16) | v4;
}

This returns the File Version which for my purposes will always be the same as the Product Version. For anyone who really needs the Product Version there are also four properties to get that info ProductMajorPart, ProductMinorPart, ProductBuildPart, and ProductPrivatePart.

So I found the answer ... I saved the copied pages to an array and then had to add the image to each copied page

             foreach (var page in copiedPages)
             {
                 page.Canvas.DrawImage(results.Item2, results.Item1.Left, results.Item1.Top, results.Item1.Width, results.Item1.Height);
             }

I am not getting any dark line .I think you must have put on a border or something

In case someone is using compose profiles, this may happen when you start services with profiles but forget to stop services with them.

In short:

COMPOSE_PROFILES=background-jobs docker compose up -d
COMPOSE_PROFILES=background-jobs docker compose down

No, TwinCAT’s FindAndReplace function does not operate directly on an in-place string. Instead, it returns a modified copy of the input string with the specified replacements applied.

Here is a dirty way to remove O( ) : add ".subs(t**6,0)" to your solution

Reposting it as an answer: I found a solution for my problem in this question, I can specify an explicitly defined schema when reading the json data from an rdd into a DataFrame:

json_df: DataFrame = spark.read.schema(schema).json(json_rdd)

It seems however that I'm reading the data twice now:

    df_1_0_0 = _read_specific_version(json_rdd, '1.0.0', schema_1_0_0)
    df_1_1_0 = _read_specific_version(json_rdd, '1.1.0', schema_1_1_0)

def _read_specific_version(json_rdd, version, schema):
    json_df: DataFrame = spark.read.schema(schema).json(json_rdd)
    return json_df.filter(col('version') == version)

Is there a more efficient way to do this? Like, is this exploiting parallel execution, or do I enforce sequential execution here? Maybe a spark newbie question.