Did you ever get this to work? I've tried this and for some reason whenever I add more than one vm_disks, the rhel iso-image disk never gets attached?

This is probably because you are using a Python 2.x version. Just put:

from _future_ import print_function

If you don't want to do this, you can go with the latest versions of python.

is it possible to use an attribute in this code? I am thinking for defining size attributes and charge the CRV based on size.

For anyone getting a similar error, I fixed mine using the byte_order parameter.

byte_order='native' fixed my problem, but the options are (‘native’, ‘=’, ‘little’, ‘<’, ‘BIG’, ‘>’) (I'm using scypi 1.7.0).

Docs: https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.loadmat.html

Yes, there is a free way to bypass that restriction.

Elementor Pro includes the Role Manager feature, but it's only available in the paid version. However, since Elementor is licensed under GPL, you're allowed to use a GPL-licensed copy for testing or educational purposes.

👉 Download Elementor Pro (GPL version) here:

https://wpnulled.space/elementor-pro-download/

Further extending the work from @Ferris and @kenske, when using localhost (as this was a local script), I found all the session cookies and redirects kept (trying) to go to https on localhost, which I didn't want. Below is my final solution that allows updating the /embedded endpoint, as well as reading the list of dashboards etc. I'm guessing with the the use of the CSRF token this will not work for long running scripts, but for a one shot script, this is working well:

import json
import logging
import os
import re

import requests

logging.basicConfig(level=logging.INFO)

host = "localhost:8088"
api_base = f"http://{host}/api/v1"
username = "admin"
password = os.getenv("DEFAULT_ADMIN_PASSWORD")
dashboard_configs = []


def get_superset_session() -> requests.Session:
    """
    A requests.session with the cookies set such that the work against the API
    """
    # set up session for auth
    session = requests.Session()
    session.headers.update(
        {
            # With "ENABLE_PROXY_FIX = True" in superset_config.py, we need to set this
            # header to make superset think we are using https
            "X-Forwarded-Proto": "https",
            "Accept": "application/json",
            # CRITICAL: Without this, we don't get the correct real session cookie
            "Referer": f"https://{host}/login/",
        }
    )
    login_form = session.get(
        f"http://{host}/login/",
        # Disable redirects as it'll redirect to https:// on localhost, which won't work
        allow_redirects=False,
    )
    # Force cookies to be http so requests still sends them
    for cookie in session.cookies:
        cookie.secure = False

    # get Cross-Site Request Forgery protection token
    match = re.search(
        r'<input[^>]*id="csrf_token"[^>]*value="([^"]+)"', login_form.text
    )
    if match:
        csrf_token = match.group(1)
    else:
        raise Exception("CSRF token not found")
    data = {"username": username, "password": password, "csrf_token": csrf_token}
    # login the given session
    session.post(
        f"http://{host}/login/",
        data=data,
        allow_redirects=False,
    )
    for cookie in session.cookies:
        cookie.secure = False

    # Set the CSRF token header, without this, some POSTs don't work, eg: "embeded"
    response = session.get(
        f"{api_base}/security/csrf_token/",
        headers={
            "Accept": "application/json",
        },
    )
    csrf_token = response.json()["result"]
    session.headers.update(
        {
            "X-CSRFToken": csrf_token,
        }
    )
    return session


def generate_embed_uuid(session: requests.Session, dashboard_id: int):
    """
    Generate an embed UUID for the given dashboard ID
    """
    response = session.post(
        f"{api_base}/dashboard/{dashboard_id}/embedded",
        json={"allowed_domains": []},
    )
    response.raise_for_status()
    return response.json().get("result", {}).get("uuid")


def main():
    session = get_superset_session()

    dashboard_query = {
        "columns": ["dashboard_title", "id"],
    }

    response = session.get(
        f"{api_base}/dashboard/",
        params={"q": json.dumps(dashboard_query)},
    )

    dashboards = response.json()

    for dashboard in dashboards["result"]:
        dashboard_id = dashboard["id"]
        dashboard_title = dashboard["dashboard_title"]
        response = session.get(f"{api_base}/dashboard/{dashboard['id']}/embedded")
        embed_uuid = response.json().get("result", {}).get("uuid")
        if not embed_uuid:
            print(f"Generating embed UUID for {dashboard_title} ({dashboard_id})...")
            embed_uuid = generate_embed_uuid(session, dashboard_id)
        embed_config = {
            "dashboard_id": dashboard_id,
            "dashboard_title": dashboard_title,
            "embed_uuid": embed_uuid,
        }
        print("Embed Config:", embed_config)
        dashboard_configs.append(embed_config)

    print(dashboard_configs)


if __name__ == "__main__":
    main()

You could try the following:

RUN curl -fsSL https://raw.githubusercontent.com/tj/n/master/bin/n | bash -s lts && \
    npm install -g npm@latest && \
    npm install -g yarn

Support for field level security might have been something added after the original question, but to anyone checking this in 2025 or beyond this could be interesting to mitigate exposure to pii information:

https://www.elastic.co/guide/en/elasticsearch/reference/current/field-level-security.html

WPRocket is great, but it's paid.

Also I know I am being late, but this is what might help:

1. Start cmd as ADMIN
2. Type printmanagement
3. Navigate to your printer, ports
4. It should work to confirm your changes

This is not yet definitive. But so far it appears the consensus answer is that this isn't possible.

I believe the text of

https://cplusplus.github.io/LWG/issue2356

acknowledges the need for a container object to be traversable, while deleting parts of it which is why the particular requirements on 'erase'. However, the complete lack of ANY guarantees about iteration ordering (no matter how you work at it) for unordered_map (and unordered cousins) - makes them unsuitable libraries if you wish to use COW (copy-on-write) - because containers might need to 'copy' their data while an iteration is proceeding.

You are in a good path if you are already thinking about optimization of your code. I must however point out, that writing good quality code, comes with the cost of spending a lot of time learning your tools, in this case the pandas library. This video is how I was introduced to the topic, and personally I believe it helped me a lot.

If I understand correctly you want to: filter specific crime types, group them by month and add up occurrences, and finally plot monthly crime evolution for each type.

Trying out your code three times back to back I got 4.4346, 3.6758 and 3.9400 s execution time -> mean 4.0168 s (not counting time taken to load dataset, used time.perf_counter()). The data used where taken from NYPD database (please include your data source when posting questions).

crime_counts is what we call, a pivot table, and it handles what you did separately for each crime type, while also saving them in an analysis-friendly pd.DataFrame format.

t1 = time.perf_counter()
# changing string based date to datetime object
df["ARREST_DATE"] = pd.to_datetime(df["ARREST_DATE"], format='%m/%d/%Y')
# create pd.Series object of data on a monthly frequency [length = df length]
df["ARREST_MONTH"] = df["ARREST_DATE"].dt.to_period('M') # no one's stopping you from adding new columns



# Filter the specific crime types
crime_select = ["DANGEROUS DRUGS", "ASSAULT 3 & RELATED OFFENSES", "PETIT LARCENY", "FELONY ASSAULT", "DANGEROUS WEAPONS"]
filtered = df.loc[df["OFNS_DESC"].isin(crime_select), ["ARREST_MONTH", "OFNS_DESC"]]

crime_counts = (filtered
                .groupby(["ARREST_MONTH", "OFNS_DESC"])
                .size()
                .unstack(fill_value=0))  # Converts grouped data into a DataFrame

# Plot results
crime_counts.plot(figsize=(12,6), title="Monthly Crime Evolution")
plt.xlabel("Arrest Month")
plt.ylabel("Number of Arrests")
plt.legend(title="Crime Type")
plt.grid(True)

t2 = time.perf_counter()
print(f"Time taken to complete operations: {t2 - t1:0.4f} s")

plt.show()

Above code completed three runs in 2.5432, 2.6067 and 2.4947 s -> mean 2.5482 s. Adding up to a ~36.56% speed increase.

Note: Did you include the dataset loading time into your execution time measurements? I found that by keeping df loaded and only running the calculations part, yields about 3.35s for your code, and 1.85s for mine.

I tried this command:

 dotenv -t .env 

It creates a file and then inside that file I pasted the env variables. Then used them as:

const supabaseUrl = global.env.EXPO_PUBLIC_SUPABASE_URL!;
const supabaseAnonKey = global.env.EXPO_PUBLIC_SUPABASE_ANON_KEY!;

docker login -u 'mytenancy/mydomain/[email protected]' ord.ocir.io

Didn't find an answer to this, but worked around it by making a pymysql session instead that I was able to close when needed.

Does no-one use virtual environments?

# Install global pip packages using sudo at your own un-needed risk. 

python3 -m venv ./venv
. ./venv/bin/activate
# OR 
source ./venv/bin/activate
pip3 install google-cloud-pubsub

deactivate # To get out of venv

I believe you are looking at a view - do you know the difference between a view and a table? they essentially work the same from the user perspective but from a database perspective they are not the same thing

Also I know I am being late, but this is what might help:

1. Start cmd as ADMIN
2. Type printmanagement
3. Navigate to your printer, ports
4. It should work to confirm your changes

My code below on how to pass the apiKey when using the typescript-fetch OpenAPI generator.

The apiKey is sent in the header.

Make sure your YAML openAPI configuration is set correctly.

import { Configuration, DefaultApi } from "mySDK";
const sdk = new DefaultApi(
    new Configuration({
        apiKey: "myApiKey",
    }),
);

It's not a perfect substitute, but I like to create a test and add an impossible assertion, e.g. Assert.Equivalent(expected, actual); This functions as a placeholder.

The downside, of course, is that this shows up as a failure, not as a to-do.

Instead of allowing everything , we may use "count" mode also. The benefit of this we may see number of requests which crossed the threshold value, still it will allow all the requests.

 rule_action_override {
      name = "SizeRestrictions_BODY"
      action_to_use {
        count {}
      }
    }

The constant variable infinity is too large for it to handle. Lowering it to 1,000,000 works fine.

در فایل ادمین به ترتیب دلخواه مدل هارو به پنل مدیریت ادمین معرفی کن.

The "Remote Devices" option is not present anymore in current chrome versions. But you can follow the link here to get remote dev tools for your android device: https://developer.chrome.com/docs/devtools/remote-debugging

The issue was resolved with adding the node buildpack (heroku/nodejs) in the Heroku settings, under buildpacks.

When AUTO_IS_NULL is not set the driver changes between zeros and nulls, I think you need to configure the ODBC

"When AUTO_IS_NULL is set, the driver does not change the default value of sql_auto_is_null, leaving it at 1, so you get the MySQL default, not the SQL standard behavior.

When AUTO_IS_NULL is not set, the driver changes the default value of SQL_AUTO_IS_NULL to 0 after connecting, so you get the SQL standard, not the MySQL default behavior.

Thus, omitting the flag disables the compatibility option and forces SQL standard behavior.

See IS NULL. Added in 3.51.13."

Youre seeing zero and thinking its a 0 but its really a default value

https://dev.mysql.com/doc/connector-odbc/en/connector-odbc-configuration-connection-parameters.html

Any updates on this?
Posted it on PyTorch forums?

If yes, links pls

In JavaScript I use [\p{Lo}\p{S}]

Its seems that your having dependencies issues, if

rm -rf node_modules package-lock.json .next

doesn't work, maybe try installing the sw/helpers

npm install @swc/helpers

I could solve the issue. The problem was the mistake in Apache/James documnation. On James website, it says that the JDBC driver must be placed under /conf/lib/ while in their github repo, they have mentioned that the JDBC driver must be placed under /root/libs/

Just curious to know that If we are creating a named call in test environment then what’s the point in override that value via spools instead ourself can we not create the value??

Sorry if this question is silly, as I am working on this for the first time

fun consumeFoo() : String {
   val result : String = foo().block()
    }
}

If you waited too long to connect GitHub to Slack and the token has timed out the following line when placed in a message on the app page will regenerate a new token and fix the problem:

/github subscribe githubAccount/repo

Since you are setting a value type to its default value (in this case setting a boolean to false) - it is being interpreted as unset, and as a result not being respected.

I would remove the default value in the modal builder, and set it at the application layer as a default (probably just constructor for the entity)

If using Chrome try in incognito mode. this disables all extensions by default. I found that one of my extensions was causing the issue by injecting resetting CSS

def board

print("Enter a number 1-9")

board()

The current best way to check how to setup a local/corporate network setup is using the Git documentation. Specifically, this one - https://git-scm.com/book/en/v2/Git-on-the-Server-Setting-Up-the-Server

Can't comment directly on above solution but I found that even though it seems like this would work, it doesn't. When the alert() function is called in the example it DOES blocks the processing of the mousedown event but if you remove the alert() and put in some other sort of non-blocking code, the radio button click still fires. This is the simplest solution I could come up with to stop it:

/******************************************************************
This code snippet allows you to Select and Unselect a radio button
******************************************************************/

//Var to store if we should not process
var block = false;

//This handles the mousedown event of the radio button
$(function()
{
        $('input[type=radio][id*="rb_Status"]').mousedown(function(e)
    {
        //If the radio button is already checked, we uncheck it
            if($(this).prop('checked'))      
      {
        //Uncheck radio button
        $(this).prop('checked',false);
        
        //Set the flag to true so click event can see it
        block = true;        
      }
    })
});

//This handles the click event of the radio button
$(function()
{   
    $('input[type=radio][id*="rb_Status"]').click(function(e)
    {
        //If the flag was just set to true in the mousedown event, stop processing 
        if(block)
      {
        //Reset the flag for next time
        block = false;
        
        //Return false to stop the current click event from processing
        // Might need these depending if you have other events attached:
        // e.stopImmediatePropagation() / e.preventDefault() / e.stopPropagation()
        return false;
      }
    })
});

create a vitest.setup.ts and add

import "@testing-library/jest-dom";

include this file (vitest.setup.ts) in the tsconfig.app.json in the attribute include

"include": ["src", "vitest.setup.ts"]

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.