Consider trying Total Control. It enables PC-based control of up to 100 Android devices simultaneously
import { MapRenderer } from "@web_map/map_view/map_renderer";
Sir, How to install this module?
You can check this github repository for mobile-mcp
https://github.com/mobile-next/mobile-mcp
I had to make a 4 into a 5 on the torch version to get it.
pip install --pre torch==2.8.0.dev20250325+cu128 torchvision==0.22.0.dev20250325+cu128 torchaudio==2.6.0.dev20250325+cu128 --index-url https://download.pytorch.org/whl/nightly/cu128
Your Cust_PO_Date doesn't convert into a date outside the Cust_Name='ABC' condition.
Have you solved your problem? How was it resolved? thanks
Stop server, and re do ng serve --open
You can define a macro like this:
#define BREAKABLE_SCOPE(x) for(int x;x<1;++x)
Then use it:
BREAKABLE_SCOPE(_)
{
...
if (condition)
break;
...
}
My hosting company verified that the cookie in question was being added by their load-balancing appliance. It has nothing to do with the IIS server.
It does indeed seem like adding the IAM roles directly to the federated id principalSet will give the permissions necessary to the application default credentials. This doesn't really answer the question and provide a way to use the service user account to run terraform but it works.
I solved it by overriding the Bootstrap CSS turning off the box-shadow that Bootstrap uses and adding an outline with an offset. Is there a more elegant way to do this other than overriding Bootstrap with !important?
*:focus-visible {
box-shadow: none !important;
outline: 3px solid black !important;
outline-offset: 2px !important;
}
Found what I was doing wrong. Now it works when I call the XPath and the Namespace of the node I'm looking for.
for child in xmlRoot.findall(".//{http://www.onvif.org/ver10/schema}NumberRecordings"):
NumberRecordings=child.text
To get the ID of a Discord user you first need to activate developer mode. Once this has been activated, simply copy the id into the member options.
Very late to the party, but this library does exactly what you're looking for: https://github.com/adamhamlin/deep-equality-data-structures
const map = new DeepMap([[{a: 1}, 2]]);
console.log(map.get({a: 1})); // Prints: 2
Full disclosure: I am the library author
It seems that you forget to add timescale in your file.
`timescale 1ns / 10ps
add this to the first line of your code
GA4 Annotations in the Analytics Admin API :
This file should be unreadable but this says it's just an answer for something absolutely nobody cares about unless this is a trick
I was building using the WildFly Jboss ToolKit plugin in VS Code. anyways i was able to resolve by editing the config server and removing older deployments. Also forgot I had to use wsimport. Thanks
Pls can anyone help me with php mailer file.. so I can upload in shell
In my case I just was already authenticated throught firebase with google (the same email as facebook is using). So I had to go to the firebase console and remove the user with such an email. After that I was able to login via Facebook
I create a fresh new conda environment, install only numpy, swich to the env, no error raised!
For anyone who comes across this, the file name should correspond to how you import the library. In my case, this seems to work regardless of the testfoo.d.ts file being located in the types directory:
// testfoo.d.ts
declare module "@/public/assets/scripts/testfoo" {
export interface ITest {
disabled: boolean;
}
export class TestCl {
constructor();
go(): void;
}
}
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:
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.
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.
(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:
Create a file called web.config and save it in the root directory of your application;
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)
Anaconda Navigator head over to Environments section.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.
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>
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
Numpy to version 1.X.pip install "numpy<2.0"
python -m pip install tensorflow==2.10.0
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
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 ?