As in the official documentation say: https://www.php.net/utf8_encode

This function has been DEPRECATED as of PHP 8.2.0. Relying on this function is highly discouraged.

I recommend you to change by

        $enconded = iconv('ISO-8859-1', 'UTF-8', $value);

Or use other way to encoded (depending on your php version) as this answer recommend: PHP utf8_en/decode deprecated, what can i use?

Marking the directory with venv as "excluded" helped me.

It turned out that the problem was related to the PATH variable.

The executable was successfully linked with a DLL on the search path in MSYS2, but the PATH variable for the system (the one used for the cmd utility) did not include this folder. Fixing this led to successful execution of the code.

In November 2023 BigQuery gained a native Levenshtein distance calculation via the EDIT_DISTANCE() function

SELECT EDIT_DISTANCE('abc', 'adb', max_distance => 2) AS results;

To add to @barry houdini's answer, use +1 to simulate OR.

I found a solution to reading in this data was WMTS from geoserver:

library(leaflet)
library(dplyr)

leaflet() %>%
# Set initial map view
setView(lng = -4, lat = 57, zoom = 7) %>%
# Add WMS Tiles as an overlay group
addWMSTiles(
  baseUrl = "https://geo.spatialhub.scot/geoserver/ows?authkey=b85aa063-d598-4582-8e45-e7e6048718fc",
  layers = "ext_rpth:pub_rpth",
  options = WMSTileOptions(format = "image/png", transparent = TRUE),
  attribution = "XXX",
  group = "Paths"
)

I modified the function plot_dq_scatter_dropdown using the shapes argument instead of add_vline & add_hline arguments. Here is the revised function:

def plot_dq_scatter_dropdown(df):
# Initialize the figure
fig = go.Figure()

# Get columns for Y-axis options (excluding 'rows' and 'outlier_prob')
y_columns = [col for col in df.columns if col not in ["rows", "outlier_prob"]]
# Calculate median of rows (constant)
median_x = df["rows"].median()

# Create dropdown buttons with updated configuration
buttons = []
for y_col in y_columns:
    median_y = df[y_col].median()
    button = dict(
        label=y_col,
        method="update",
        args=[
            # Trace updates
            {
                "y": [df[y_col]],  # Update scatter plot Y values
                "x": [df["rows"]],
                "marker.color": [df["outlier_prob"]],
            },
            # Layout updates
            {
                "title": f"Scatter Plot: rows vs {y_col}",
                "yaxis.title": y_col,
                "shapes": [
                    # Vertical median line for rows
                    {
                        "type": "line",
                        "x0": median_x,
                        "x1": median_x,
                        "y0": 0,
                        "y1": 1,
                        "yref": "paper",
                        "line": {"color": "orange", "dash": "dash", "width": 2}
                    },
                    # Horizontal median line for selected Y variable
                    {
                        "type": "line",
                        "x0": 0,
                        "x1": 1,
                        "xref": "paper",
                        "y0": median_y,
                        "y1": median_y,
                        "line": {"color": "orange", "dash": "dash", "width": 2}
                    }
                ],
                "annotations": [
                    # Annotation for vertical median line
                    {
                        "x": median_x,
                        "y": 1,
                        "xref": "x",
                        "yref": "paper",
                        "text": "Median rows",
                        "showarrow": False,
                        "xanchor": "left",
                        "yanchor": "bottom"
                    },
                    # Annotation for horizontal median line
                    {
                        "x": 0,
                        "y": median_y,
                        "xref": "paper",
                        "yref": "y",
                        "text": f"Median {y_col}: {median_y:.2f}",
                        "showarrow": False,
                        "xanchor": "left",
                        "yanchor": "bottom"
                    }
                ]
            }
        ]
    )
    buttons.append(button)

# Add initial scatter plot
initial_y = y_columns[0]
initial_median_y = df[initial_y].median()
fig.add_trace(go.Scatter(
    x=df["rows"],
    y=df[initial_y],
    mode='markers',
    marker=dict(
        color=df['outlier_prob'],
        colorscale='viridis',
        showscale=True,
        colorbar=dict(title='Outlier Probability')
    ),
    hoverinfo='text',
    text=df.index,
    showlegend=False
))

# Update layout with dropdown menu and initial median lines
fig.update_layout(
    title=f"Scatter Plot: rows vs {initial_y}",
    xaxis_title="rows",
    yaxis_title=initial_y,
    updatemenus=[{
        "buttons": buttons,
        "direction": "down",
        "showactive": True,
        "x": 0.17,
        "y": 1.15,
        "type": "dropdown"
    }],
    shapes=[
        # Initial vertical median line
        {
            "type": "line",
            "x0": median_x,
            "x1": median_x,
            "y0": 0,
            "y1": 1,
            "yref": "paper",
            "line": {"color": "orange", "dash": "dash", "width": 2}
        },
        # Initial horizontal median line
        {
            "type": "line",
            "x0": 0,
            "x1": 1,
            "xref": "paper",
            "y0": initial_median_y,
            "y1": initial_median_y,
            "line": {"color": "orange", "dash": "dash", "width": 2}
        }
    ],
    annotations=[
        # Initial annotation for vertical median line
        {
            "x": median_x,
            "y": 1,
            "xref": "x",
            "yref": "paper",
            "text": "Median rows",
            "showarrow": False,
            "xanchor": "left",
            "yanchor": "bottom"
        },
        # Initial annotation for horizontal median line
        {
            "x": 0,
            "y": initial_median_y,
            "xref": "paper",
            "yref": "y",
            "text": f"Median {initial_y}: {initial_median_y:.2f}",
            "showarrow": False,
            "xanchor": "left",
            "yanchor": "bottom"
        }
    ]
)

# Show the plot
fig.show()

This should calculate the median values for each column and includes them in the button configuration. It also annotates the lines accordingly. I am attaching some images of the resulting output

For now, it is not possible, this is a fairly common question on the storybook github, you can see the answer of the team here https://github.com/storybookjs/storybook/discussions/24785

You have to configure posgresql config file;

Add this line to pg_hba.conf

host  all  all 0.0.0.0/0 md5

Also you can define specific config file for psql in docker like that;

command: -c config_file=/etc/postgresql.conf

For me works this code

    PrimeFaces.current().executeScript("PF('widgetVarId').getPaginator().setPage(1)");

You may use a CROSS APPLY

DECLARE @json NVARCHAR(MAX) = '{ "SearchParameters": [ { "LastName": "Smith" }, { "Org": "AAA" }, { "Postcode": "SW1" } ] }';

SELECT k.[key] AS ParameterName, k.value AS ParameterValue
FROM OPENJSON(@json, '$.SearchParameters') AS p
CROSS APPLY OPENJSON(p.value) AS k;

If you are browsing in Chrome try type thisisunsafe on Chrome SSL error page to make the Chrome ignore it. This solution is described here:

How to configure Chrome to ignore SSL warning on specific URLs?

Specifically adding it into your environment files such as: Production.rb:

TimeZone Setting

  config.time_zone = 'Asia/Dubai'

Printing a PDF with mixed orientations is not possible with just chrome. The closest you can get would be to print one page rotated 90 degrees and then rotate the page manually in a PDF editor.

brilliant formula. Worked for me. Thank you

Command yay -Syu flang not install package. It is upgrade system only. For install used command yay -S flang yay have param:

1. -S for install package
2. -Ss for search package
3. -F for search program name in a packages
4. yay -Syu for upgrade system

   expect(
  screen.getByRole('heading', { level: 2, name: 'text of the heading' })
).toBeVisible();

Have you tried using @angular/elements? I once needed to use an Angular component in React, and this package made it much easier for us.

In this case, the compiler is your friend. The answer is in the error message:

note: upstream crates may add a new impl of trait `std::error::Error` for type `anyhow::Error` in future versions

The problem is, you have these two impl blocks:

impl<E> From<E> for MyError
where
    E: std::error::Error + Into<anyhow::Error>,
{
    fn from(e: E) -> Self {
        MyError::Anyhow(e.into())
    }
}

impl From<anyhow::Error> for MyError {
    fn from(e: anyhow::Error) -> Self {
        MyError::Anyhow(e)
    }
}

Now consider what happens when you try to convert anyhow::Error into MyError. The compiler sees the first block and tries to match: anyhow::Error implements Into<anyhow::Error> (any type T trivially implements Into<T>), but doesn't implement std::error::Error, so we should be fine here (spoiler alert: we aren't, but we'll get back to this later). It also sees the second block, where we have From<anyhow::Error>, so it obviously applies and the compiler can use it.

However, you don't have any guarantee that the anyhow crate maintainers won't introduce an implementation for std::error::Error for anyhow::Error in the future. This sort of change only needs a minor SemVer bump, so your code could suddenly stop compiling without even changing your Cargo.toml. Rust compiler tries to prevent this and doesn't allow you to build your program, even though there's technically nothing wrong with it as of today.

What can you do with it? Well, sadly not that much. Your options are:

1. Removing generic From<E> implementation and implementing From for all the error types you want to support (possibly using macros) — your code stops being generic
2. Removing the std::error::Error bound on From<E> and removing From<anyhow::Error> block — requires you to remove your impl From<MyError> for anyhow::Error block because of conflicting blanket implementation of impl<T> From<T> for T
3. Removing the Into<anyhow::Error> bound on From<E> and using std::error::Error + Send + Sync + 'static instead while removing the From<anyhow::Error> — you won't be able to convert from anyhow::Error to MyError.

There is a possibility this problem will be easier to tackle in the future using specialization, but it doesn't look like it will be available in stable Rust anytime soon.

See also: How do I work around the "upstream crates may add a new impl of trait" error?

Can you provide the method that you deleted?

I have resolved something like this issue by adding these dependencies

implementation("org.springdoc:springdoc-openapi-starter-webmvc-ui:2.2.0")
implementation 'io.swagger.core.v3:swagger-annotations:2.2.15'

The correct request would be:

$url =
       "https://api.dailymotion.com/collection/xxx/videos?fields=private_id&private=true";

If you want to get more than 10 items, set limit like:

$url =
   "https://api.dailymotion.com/collection/xxx/videos?fields=private_id&private=true&limit=100";

100 is maximum you can get. Also learn the following information: https://developers.dailymotion.com/guides/browse-large-catalogs/

To fix the "From" email issue and prevent tracking links when using Brevo with WP Mail SMTP, follow these steps:

Authenticate your domain in Brevo by adding the necessary SPF and DKIM records in your DNS settings. This ensures emails are sent from your custom domain (e.g., [email protected]) rather than Brevo’s domain.

In WP Mail SMTP, make sure the "From Email" matches the authenticated email address.

Disable link and open tracking in Brevo’s settings under Campaigns > Settings to prevent tracking links from being added to your emails.

These steps will ensure your email address is correct and improve email deliverability.

Also got the same problem after downloading XCode 16.2 beta. For now nothing works. Tried with Karol's method, but it still persist.

For me below conf was missing in Application.properties

spring.freemarker.template-loader-path=classpath:/templates/

spring.freemarker.suffix=.ftl

By default, if you use jQuery.post() with simple key-value pairs, they will be available in the FORM scope in ColdFusion.

Thanks @Markus Meyer for the comment.

As mentioned by Markus and as per this MSDoc, you need to delete the Identity provider of Username and Password.

That is not show the choice/username - password form on the login page, and in the current case only show the Azure EntraID login button.

For this you need to add the Azure AD Identity provider.

Is the only way to delete the local auth form block on the login page

If you delete the Username and password, it will not allow you to login. If you want to completely avoid the block delete both identity provider and form in login page.

If installed with brew:

brew services restart mysql 

I have used this kind of code for years without any problems:

<cfset zurl = #cgi.SCRIPT_NAME#&'?'&#cgi.QUERY_STRING#>
<cfset arg2remove = 'LoginID='&#url.LoginID#>
<cfset q = reReplaceNoCase(cgi.query_string, arg2remove, "")>

The use of regex is not necessary.

calling the eventbridge.putEvents(custom_Params)

or equivalent function in the language you use (ref SDK github repo)

from lambda will do after setting up things from event-bridge side

Old thread, but it looks like it's nearly impossible to pair pre 2.x tensorflow (in particular tf 1.15) with Amper architecture Nvidia GPUs, hopefully I'm mistaken.

Try to use this GET request:

https://gmailpostmastertools.googleapis.com/v1/domains/YOURDOMAIN_HERE/trafficStats/20241102

works fine foe me

For me, it was due to errors with prexisting dependencies not being in the correct updated version. Removing them, adding the new dependency and then adding those back solved it.

You can select the code that you want to unwrap and then use the ctrl + shift+ delete shortcut

In case anyone stumbles upon this, i've finally understood my mistake: turns out that, while my @ActivityContext injection into my AuthModule was OK, I was still trying to inject the module in ViewModel, which means it would indirectly hold a reference to the Activity, and thus Hilt wouldn't allow me to inject it.

My somewhat ugly solution was to just inject my module into the Activity itself, since I have only one, and then pass the module as a reference down to other composables, and THEN finally pass it down to the ViewModel so it could make its things

@AndroidEntryPoint
class MainActivity : ComponentActivity() {
  @Inject lateinit  var authService: AuthService
  // ....
  AuthScreen(authService = authService, ...)
}

contact xperlet web development company they will help you.

Here is one example which i tried and successfully run in my android studio

1. Main Timer Widget

import 'dart:math';
import 'package:flutter/material.dart';

class CircularTimerWithTaxi extends StatefulWidget {
  final int durationInSeconds;
  final VoidCallback? onTimerComplete;
  final double size;
  final Color trackColor;
  final Color progressColor;

  const CircularTimerWithTaxi({
    Key? key,
    required this.durationInSeconds,
    this.onTimerComplete,
    this.size = 300,
    this.trackColor = const Color(0xFFE0E0E0),
    this.progressColor = const Color(0xFF1A237E),
  }) : super(key: key);

  @override
  State<CircularTimerWithTaxi> createState() => _CircularTimerWithTaxiState();
}

class _CircularTimerWithTaxiState extends State<CircularTimerWithTaxi>
    with SingleTickerProviderStateMixin {
  late AnimationController _controller;
  late Animation<double> _animation;

  @override
  void initState() {
    super.initState();
    _setupAnimation();
  }

  void _setupAnimation() {
    _controller = AnimationController(
      vsync: this,
      duration: Duration(seconds: widget.durationInSeconds),
    );

    _animation = Tween<double>(
      begin: 0.0,
      end: 2 * pi,
    ).animate(_controller);

    _controller.addStatusListener((status) {
      if (status == AnimationStatus.completed) {
        widget.onTimerComplete?.call();
      }
    });

    _controller.forward();
  }

  @override
  void dispose() {
    _controller.dispose();
    super.dispose();
  }

  @override
  Widget build(BuildContext context) {
    return AnimatedBuilder(
      animation: _animation,
      builder: (context, child) {
        return Stack(
          alignment: Alignment.center,
          children: [
            // Track and Progress
            CustomPaint(
              size: Size(widget.size, widget.size),
              painter: TrackPainter(
                progress: _controller.value,
                trackColor: widget.trackColor,
                progressColor: widget.progressColor,
              ),
            ),
            
            // Moving Car
            Transform(
              alignment: Alignment.center,
              transform: Matrix4.identity()
                ..translate(
                  (widget.size / 2) * cos(_animation.value - pi / 2),
                  (widget.size / 2) * sin(_animation.value - pi / 2),
                )
                ..rotateZ(_animation.value),
              child: const Icon(
                Icons.local_taxi,
                color: Colors.amber,
                size: 30,
              ),
            ),
            
            // Timer Text
            Text(
              '${((1 - _controller.value) * widget.durationInSeconds).ceil()}s',
              style: const TextStyle(
                fontSize: 40,
                fontWeight: FontWeight.bold,
              ),
            ),
          ],
        );
      },
    );
  }
}

2. Custom Track Painter

class TrackPainter extends CustomPainter {
  final double progress;
  final Color trackColor;
  final Color progressColor;

  TrackPainter({
    required this.progress,
    required this.trackColor,
    required this.progressColor,
  });

  @override
  void paint(Canvas canvas, Size size) {
    final center = Offset(size.width / 2, size.height / 2);
    final radius = size.width / 2;
    const strokeWidth = 20.0;

    // Draw base track
    final trackPaint = Paint()
      ..color = trackColor
      ..style = PaintingStyle.stroke
      ..strokeWidth = strokeWidth
      ..strokeCap = StrokeCap.round;

    canvas.drawCircle(center, radius - (strokeWidth / 2), trackPaint);

    // Draw progress
    final progressPaint = Paint()
      ..color = progressColor
      ..style = PaintingStyle.stroke
      ..strokeWidth = strokeWidth
      ..strokeCap = StrokeCap.round;

    canvas.drawArc(
      Rect.fromCircle(
        center: center,
        radius: radius - (strokeWidth / 2),
      ),
      -pi / 2,
      2 * pi * (1 - progress),
      false,
      progressPaint,
    );

    // Draw track markers
    final markerPaint = Paint()
      ..color = Colors.white
      ..style = PaintingStyle.stroke
      ..strokeWidth = 2;

    const markersCount = 40;
    for (var i = 0; i < markersCount; i++) {
      final angle = (2 * pi * i) / markersCount;
      final start = Offset(
        center.dx + (radius - strokeWidth) * cos(angle),
        center.dy + (radius - strokeWidth) * sin(angle),
      );
      final end = Offset(
        center.dx + radius * cos(angle),
        center.dy + radius * sin(angle),
      );
      canvas.drawLine(start, end, markerPaint);
    }
  }

  @override
  bool shouldRepaint(TrackPainter oldDelegate) {
    return oldDelegate.progress != progress ||
        oldDelegate.trackColor != trackColor ||
        oldDelegate.progressColor != progressColor;
  }
}

3. Example Usage

class TimerScreen extends StatelessWidget {
  const TimerScreen({Key? key}) : super(key: key);

  @override
  Widget build(BuildContext context) {
    return Scaffold(
      body: Center(
        child: CircularTimerWithTaxi(
          durationInSeconds: 30,
          size: 300,
          trackColor: Colors.grey[300]!,
          progressColor: Colors.blue[900]!,
          onTimerComplete: () {
            // Handle timer completion
            print('Timer finished!');
          },
        ),
      ),
    );
  }
}

Key Features

1. Smooth Car Animation

   • Car rotates realistically while moving
   • Follows the circular path precisely
   • Maintains correct orientation throughout the animation

2. Custom Track Design

   • Dashed line markers for visual interest
   • Configurable track and progress colors
   • Smooth progress indication
   • Round stroke caps for polished look

3. Timer Functionality

   • Countdown display in the center
   • Customizable duration
   • Completion callback
   • Visual progress tracking

Customization Options

You can customize various aspects of the timer:

CircularTimerWithTaxi(
  durationInSeconds: 60,              // Duration in seconds
  size: 400,                          // Overall size
  trackColor: Colors.grey[200]!,      // Background track color
  progressColor: Colors.blue[800]!,   // Progress track color
  onTimerComplete: () {
    // Custom completion handling
  },
)

Advanced Customization

1. Modify Track Appearance

// In TrackPainter class
const strokeWidth = 20.0;  // Change track thickness
const markersCount = 40;   // Change number of dash marks

2. Change Car Icon

// Replace the Icon widget with custom widget
Transform(
  ...
  child: Image.asset(
    'assets/car_icon.png',
    width: 30,
    height: 30,
  ),
)

3. Customize Timer Text

Text(
  '${((1 - _controller.value) * widget.durationInSeconds).ceil()}s',
  style: TextStyle(
    fontSize: 40,
    fontWeight: FontWeight.bold,
    color: Colors.blue[900],
  ),
)

Common Issues and Solutions

1. Car Rotation Issues

   • Ensure transform origin is centered
   • Use correct mathematical calculations for rotation
   • Consider device pixel ratio

2. Performance Optimization

   • Use shouldRepaint efficiently
   • Minimize widget rebuilds
   • Use const constructors where possible

3. Animation Smoothness

   • Use vsync properly
   • Handle disposal correctly
   • Consider using curves for natural movement

Additional Tips

1. State Management

   • Consider using a state management solution for complex implementations
   • Handle timer state properly when navigating

2. Responsive Design

   • Use MediaQuery for responsive sizing
   • Consider different screen orientations
   • Handle edge cases for small screens

3. Testing

   • Test with different durations
   • Verify completion callback
   • Check animation smoothness

Example with State Management (using Provider)

class TimerState extends ChangeNotifier {
  bool isRunning = false;
  int remainingSeconds = 0;

  void startTimer(int duration) {
    remainingSeconds = duration;
    isRunning = true;
    notifyListeners();
  }

  void stopTimer() {
    isRunning = false;
    notifyListeners();
  }
}

Remember to add necessary dependencies in your pubspec.yaml:

dependencies:
  flutter:
    sdk: flutter
  provider: any  # If using provider for state management

This implementation provides a solid foundation for a circular timer with car animation. You can build upon this base to add more features or customize it further based on your specific needs.

Would you like me to explain any part in more detail or add specific customizations?

The program requires the installation of an emulator. To do this, select:

Try invalidate caches of Android Studio

Settings => Language & Frameworks => Android SDK.

In SDK Tools, you can install the missing tools.

If it happens that despite the emulator being installed, an error message is displayed, uninstall and reinstall the emulator.

If this does not help, uninstall and reinstall Android Studio.

Finally, click Finish.

The virtual device we created should appear in the Device Manager window.

Ok found the issue was that I had the default conf nginx with location / that was overlapping my location /admin/

Might help anyone stuck

cosmos db for mongodb api is extremely slow. go with the Original mongodb server or atlas offerings. its lot cheaper and faster

Let's say "vertical-center" is the name of your div class, And the content you want to center is inside the div.
This is the CSS code:

.vertical-center {
display: flex;
align-items: center;
height: 100px; /* Adjust the height as needed */
}

Have you tried passing the parameter like this?

router.push({
    pathname: '../routes/workoutDetail',
    params: {
        id: workout.id
    }
})

Also, using ../routes may not be the best approach for defining the pathname. It’s better to use the global namespace"

The best way to accomplish this is to use needs more info on needs

Example below:

stages:
  - 📼 start-main-job
  - 📎 start-main-job-2


DEV before-main-job:
  stage: 📼 start-main-job
  needs: []
  when: manual

DEV start-main-job:
  stage: 📼 start-main-job
  needs: ["DEV before-main-job"]
  when: on_success

DEV before-main-job-2:
  stage: 📎 start-main-job-2
  needs: []
  when: manual

DEV start-main-job-2:
  stage: 📎 start-main-job-2
  needs: ["DEV before-main-job-2"]
  when: on_success

Example pipeline

check out at [web hosting promo][1]

[1]: https://webhostingpromo.com . For a reliable and budget-friendly web host that supports Java in a Windows environment, here are some solid options:

• A2 Hosting
• InterServer
• Kamatera

I fixed the issue by using the StaticDatePicker MUI instead of DesktopDatePicker MUI. Not really a fix, more a workaround.

There are some server libraries available like https://github.com/vjeantet/ldapserver/blob/master/packet.go and https://github.com/Authentick/LdapServerLibrary/tree/main/Sample

websockets version 14.0 has some issues in handling connections. downgrading to a version e.g. - 12.0 solves the issue.

THis does not work. If something has been changed, the Save prompt is still popping up!

Project Type: ASP.NET Core Web API.
This issue is caused by a duplicate attribute, as AssemblyInfo is automatically generated.
To resolve this issue, simply edit [ProjectName].csproj and add the following tag:

<PropertyGroup>
    <GenerateAssemblyInfo>false</GenerateAssemblyInfo>
</PropertyGroup>

You should be able to write your own ldap server. Similar to https://github.com/Authentick/LdapServerLibrary/tree/main/Sample. There are ldap server libraries available in python and golang as well.

Once you write the server, sky is the limit as to what you do with the messages.

And if you don't have ManagedBean, use Component instead?

I just made a silly mistake ...instead of installing socket.io I installed outdated socketio which doesn't have support for TS.

I don't understand of your answer. How can I link my Access database with Xampp server, my database already prepared I try link to database to show me , you can't using odbc .

Some embedded systems need old databases although one can often get around the requirement by using a programmable database proxy. (eg Businesses are not going to replace an expensive machine tool just because it needs an old database.)

Linked servers tend to be slow. Try

1. writing a program/script to copy the table. Powershell should be adequate.

or

2. run the process from the SQL2022 server and use Polybase.

Use \newline for creating a new line

Another way some one might help in Spring Boot 3 is way of adding these two dependencies

implementation("org.springdoc:springdoc-openapi-starter-webmvc-ui:2.2.0")
implementation 'io.swagger.core.v3:swagger-annotations:2.2.15'

make sure to exclude it from other SDKs if its referencing.

This looks to still be the case that this option is disabled for Azure database connections. I can confirm that MarcelDevG's option is correct. You can also right click in the window and select 'connection/disconnect' and then the option is available. When you click it, you then need to reselect your connection, but the editor also appears.

Same issue here. Did you find any solutions? I also need to allow everything again after building the solution. Is very frustrating when you run multiple projects configuration.

The trick for me was to add:

indent: false

to TinyMCE configuration. No more automatic <br> added when saving your code!

This has been changed to ui.tooltip.delay_ms, which you can set to 0 to display them instantly.

Redgate is moving from SQL Source Control to their new product Flyway Desktop, so this check-in problem could be a moot point:

https://documentation.red-gate.com/fd/moving-from-sql-source-control-to-flyway-desktop-152109390.html

just type > composer require ImageMagick then import it in your desire controller

Assuming User is defined somewhere else, just write User | None without quotes:

user: User | None = Relationship(back_populates="oauth_accounts")

1. Set Up Django Backend First, make sure your Django backend is set up and running.

2. Set Up React Frontend with Vite Next, create your React frontend using Vite

3. Enable CORS in Django To allow your React frontend to communicate with your Django backend, you need to enable Cross-Origin Resource Sharing (CORS). You can use the django-cors-headers package:

pip install django-cors-headers

Then, add it to your settings.py:

python INSTALLED_APPS = [ ... 'corsheaders', ... ]

MIDDLEWARE = [ ... 'corsheaders.middleware.CorsMiddleware', ... ]

CORS_ALLOW_ALL_ORIGINS = True # For development only. Use a whitelist in production.

4. Create API Endpoints in Django Set up your Django REST framework to create API endpoints that your React app can consume. You can follow the Django REST framework documentation for this.

5. Fetch Data from Django API in React In your React app, use the fetch API or a library like Axios to fetch data from your Django backend

6. Build and Deploy When you’re ready to deploy, build your React app using Vite

integrating React-Vite with Django. https://www.youtube.com/watch?v=NJVaySJAbw0&form=MG0AV3

Django React Integration with Vite -https://gist.github.com/sudarshan24-byte/ded3236d38b15787729de86c6cb420e3?form=MG0AV3

Several factors can contribute to poor real-time EMG (electromyography) classification performance, including noisy signals, insufficient feature extraction, and low-quality electrodes. A limitation in classification algorithms, inability to adapt to individual users, or interference from the environment can also hinder accurate muscle activity detection and performance in real time.

Turns out the solution was indeed to define the __cxa_pure_virtual as a dummy function due to https://bugs.llvm.org/show_bug.cgi?id=49839 , the issue is that I wasn't adding the __device__ attribute at the front. The function should then be something like:

extern "C" __device__ void __cxa_pure_virtual() {
  while (1) {
  }
}

It turns out it is related with

spring-cloud-starter-bootstrap dependency, when I remove that, I have successfully

You have a GetRoles function that assigns roles to a user based on their primary and additional groups. However, currently, only the roles from the primary group are being considered, which limits user access by ignoring roles from additional groups.

To fix this, u need to:

Merge roles from all groups (both primary and additional) to create a unique list of accessible roles and update the GetAccess function to iterate over all groups instead of only the primary group.

You've to create the config.toml file containing the Secrets Config including the connection URL of your postgres database and the Keystore password.

Please refer to the official documentation for the exact steps and configuration.

I found a solution thanks mainly to @Teodor (and a bit of ChatGPT). My code is quite similar but still somewhat different. Also, there is a lot of customization concerning my plots following the solution. As I oriented myself very closely to a graph from a scientific publication, I decided to post it in case someone wants the code for a (hopefully) publication-worthy looking plot (Fig. 1). I also attached the code for a simple version of the same graph but using ordibar to generate error bars that take covariance into account as proposed by @JariOksanen (Fig. 2).

Teodor's approach:

library(vegan)
library(dplyr)
library(ggplot2)
library(ggvegan)
library(ggrepel)
library(ggpubr)
#Load data
data <- read.csv2("comSFdata.csv", header = TRUE, check.names = FALSE)
#Create new dataframe w/o 1. column
com = data[,2:ncol(data)]
#Turn data from dataframe to matrix format
mcom = as.matrix(com)
#Run NMDS - set.seed for reproducibility
set.seed(123)
nmds1 <- metaMDS(mcom, distance = "bray", k = 2, trymax = 10000)

#Prepare data for, and calculate means + se --> Summarize into single points
nmds_coords <- as.data.frame(scores(nmds1, display = "sites"))
nmds_coords['Treatment'] <- data['Treatment']
nmds_summary <- nmds_coords %>%
  group_by(Treatment) %>%
  summarise(
    NMDS1_mean = mean(NMDS1),
    NMDS2_mean = mean(NMDS2),
    NMDS1_sd = sd(NMDS1),
    NMDS2_sd = sd(NMDS2),
    NMDS1_se = NMDS1_sd / sqrt(n()),
    NMDS2_se = NMDS2_sd / sqrt(n()))

#Prepare data for 2. plot
fort <- fortify(nmds1)

#Generate 2 plots:
p1 <- ggplot(data = nmds_summary, mapping = aes(x = NMDS1_mean, y = NMDS2_mean, colour = Treatment, shape = Treatment)) +
#Customizes samples & plot error bars
  geom_errorbar(mapping = aes(xmin = NMDS1_mean - NMDS1_se, xmax = NMDS1_mean + NMDS1_se), width = 0.05, colour = "black", size = 1) +
  geom_errorbar(mapping = aes(ymin = NMDS2_mean - NMDS2_se, ymax = NMDS2_mean + NMDS2_se), width = 0.14383561643835616438356164383562, colour = "black", size = 1) +
  geom_point(size = 6, alpha = 1) +
  scale_colour_manual(values = c("#C77CFF", "#00BFC4", "#F8766D", "#7CAE00")) +
  scale_shape_manual(values = c(16, 16, 15, 17)) +
#Set axis range and force rendering of objects "outside" the range
  coord_cartesian(ylim = c(-0.4, 0.4), xlim = c(-1.15, 1.15), clip = 'off') +
#Remove legend
  theme(legend.position="none") +
#Add custom legend
  annotate("text", x = 1.1, y = 0.365, size = 4, fontface = "bold", hjust = 1, colour = "#C77CFF",
           label = ("Control start")) +
  annotate("text", x = 1.1, y = 0.34, size = 4, fontface = "bold", hjust = 1, colour = "#00BFC4",
           label = ("Control end")) +
  annotate("text", x = 1.1, y = 0.315, size = 4, fontface = "bold", hjust = 1, colour = "#F8766D",
           label = ("1% substrate addition")) +
  annotate("text", x = 1.1, y = 0.29, size = 4, fontface = "bold", hjust = 1, colour = "#7CAE00",
           label = ("4% substrate addition")) +
#Generates coordinate system axis at the origin
  geom_abline(intercept = 0, slope = 0, linetype = "dotted", linewidth = 0.65, colour = "black") +
  geom_vline(aes(xintercept = 0), linetype = "dotted", linewidth = 0.7125, colour = "black") +
#Removes grids & background & adds a frame
  theme(panel.grid.major = element_blank(),
        panel.grid.minor = element_blank(),
        panel.background = element_blank(),
        panel.border = element_rect(colour = "black", fill = "NA", linewidth = 1, linetype = "solid")) +
#Add title as label so it is in the foreground
  annotate("label", x = -1.15, y = 0.36, size = 5.5, label.size = 0, fontface = "bold", hjust = 0, colour = "black",
           label = ("(a) Slump Floor (SF)")) +
#Add custom axis titles
  xlab("NMDS1") + ylab("NMDS2") +
#Customize left plot axis
  theme(axis.ticks.length = unit(-3, "mm"),
        axis.ticks = element_line(linewidth = 1.05),
        axis.title.x = element_text(color="black", size=14, face="bold", vjust = -0.6),
        axis.title.y.left = element_text(color="black", size=14, face="bold", vjust = 10),
#Set custom margin for better scale readability           
        plot.margin = margin(10, 10, 10, 35)) +
  scale_x_continuous(expand = c(0, 0), breaks = c(-1, -0.5, 0, 0.5, 1), labels = c("", "", "","",""), sec.axis = sec_axis(~ ., breaks = c(-1, -0.5, 0, 0.5, 1), labels = c("", "", "","",""))) +
  scale_y_continuous(expand = c(0, 0), breaks = c(-0.2, 0 , 0.2), labels = c("", "",""), sec.axis = sec_axis(~ ., breaks = c(-0.2, 0 , 0.2), labels = c("", "",""))) +
#Set custom x-axis labels
  annotate("text", x = -0.95, y = -0.425, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("-1")) +
  annotate("text", x = -0.43, y = -0.425, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("-0.5")) +
  annotate("text", x = 0.025, y = -0.425, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("0")) +
  annotate("text", x = 0.57, y = -0.425, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("0.5")) +
  annotate("text", x = 1.025, y = -0.425, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("1")) +
#Set custom y-axis labels  
  annotate("text", x = -1.2, y = 0.4, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("0.4")) +
  annotate("text", x = -1.2, y = 0.205, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("0.2")) +
  annotate("text", x = -1.2, y = 0, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("0")) +
  annotate("text", x = -1.2, y = -0.195, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("-0.2")) +
  annotate("text", x = -1.2, y = -0.395, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("-0.4"))

p2 <- ggplot() +
#Add custom x-axis label
  geom_point(data = subset(fort, score == 'species'),
             mapping = aes(x = NMDS1, y = NMDS2), alpha = 0) +
#Set axis range and force rendering of objects "outside" the range
  coord_cartesian(ylim = c(-0.4, 0.4), xlim = c(-1.15, 1.15), clip = 'off') +
  geom_segment(data = subset(fort, score == 'species'),
#Adds & customizes vectors for PLFAs
               mapping = aes(x = 0, y = 0, xend = NMDS1, yend = NMDS2),
               arrow = arrow(length = unit(0, "npc"), type = "closed"),
               colour = "black", size = 0.8, alpha = 1)+
#Enable custom label colours and set to bold text
  geom_text_repel(data = subset(fort, score == 'species'),
                  mapping = aes(label = label, colour = label, x = NMDS1 * 1.025, y = NMDS2 * 1.025),
                  alpha = 1, size = 3, fontface = "bold") +
#Remove legend
  theme(legend.position="none") +
#Add custom legend
  annotate("text", x = 1.1, y = 0.365, size = 4, fontface = "bold", hjust = 1, colour = "black",
           label = ("Non-specific")) +
  annotate("text", x = 1.1, y = 0.34, size = 4, fontface = "bold", hjust = 1, colour = "#ff0000",
           label = ("Gram-positive bacteria")) +
  annotate("text", x = 1.1, y = 0.315, size = 4, fontface = "bold", hjust = 1, colour = "#ff8800",
           label = ("Gram-negative bacteria")) +
  annotate("text", x = 1.1, y = 0.29, size = 4, fontface = "bold", hjust = 1, colour = "#00b300",
           label = ("Fungi")) +
#Customize label colours
  scale_colour_manual(values=c("i15:0" = "#ff0000", "a15:0" = "#ff0000", "i16:0" = "#ff0000", "16:1ω7c" = "#ff8800", "16:1ω7t" = "#ff8800", "16:1ω5c" = "#ff8800", "16:0" = "black", "10Me 16:0" = "#ff0000", "i17:0" = "#ff0000", "a17:0" = "#ff0000", "17:1ω7c" = "#ff8800", "cy17:0" = "#ff8800", "17:0" = "black", "10Me 17:0" = "#ff0000", "18:2ω6c" = "#00b300", "18:1ω7c" = "#ff8800",  "18:1ω7t" = "#ff8800", "18:0" = "black", "10Me 18:0" = "#ff0000",  "cy19:0" = "#ff8800", "20:0" = "black")) +
#Generates coordinate system axis at the origin
  geom_abline(intercept = 0, slope = 0, linetype = "dotted", linewidth = 0.65, colour = "black") +
  geom_vline(aes(xintercept = 0), linetype = "dotted", linewidth = 0.7125, colour = "black") +
#Removes grids & background & adds a frame
  theme(panel.grid.major = element_blank(),
        panel.grid.minor = element_blank(),
        panel.background = element_blank(),
        panel.border = element_rect(colour = "black", fill = "NA", linewidth = 1, linetype = "solid")) +
#Add title below grid customization so it is in the foreground
  annotate("label", x = -1.15, y = 0.36, size = 5.5, label.size = 0, fontface = "bold", hjust = 0, colour = "black",
           label = ("(b) Slump Floor (SF)")) +
#Customize right plot axis
  theme(axis.title.y = element_blank(),
        axis.text.y = element_blank(),
        axis.ticks.length = unit(-3, "mm"),
        axis.ticks = element_line(linewidth = 1.05),
        axis.title.x = element_text(color="black", size=14, face="bold", vjust = -0.6),
#Set custom margin for better scale readability        
        plot.margin = margin(10, 10, 10, 10)) +
  scale_x_continuous(expand = c(0, 0), breaks = c(-1, -0.5, 0, 0.5, 1), labels = c("", "", "","",""), sec.axis = sec_axis(~ ., breaks = c(-1, -0.5, 0, 0.5, 1), labels = c("", "", "","",""))) +
  scale_y_continuous(expand = c(0, 0), breaks = c(-0.2, 0 , 0.2), labels = c("", "",""), sec.axis = sec_axis(~ ., breaks = c(-0.2, 0 , 0.2), labels = c("", "",""))) +
#Set custom x-axis labels
  annotate("text", x = -0.95, y = -0.425, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("-1")) +
  annotate("text", x = -0.43, y = -0.425, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("-0.5")) +
  annotate("text", x = 0.025, y = -0.425, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("0")) +
  annotate("text", x = 0.57, y = -0.425, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("0.5")) +
  annotate("text", x = 1.025, y = -0.425, size = 4.5, fontface = "bold", hjust = 1, colour = "black",
           label = ("1"))

#Generate multi-panel plot with 2 columns & add/customize labels
ggarrange(p1, p2, ncol = 2, nrow = 1, widths = c(1.06, 1), align = "h")

JariO's approach:

library(vegan)
library(dplyr)
library(ggplot2)
library(ggvegan)
library(ggrepel)
library(ggpubr)
#Load data
data <- read.csv2("comSFdata.csv", header = TRUE, check.names = FALSE)
#Create new dataframe w/o 1. column
com = data[,2:ncol(data)]
#Turn data from dataframe to matrix format
mcom = as.matrix(com)
#Run NMDS - set.seed for reproducibility
set.seed(123)
nmds1 <- metaMDS(mcom, distance = "bray", k = 2, trymax = 10000)
#Prepare data for plotting
fort <- fortify(nmds1)
#Add workaround for adding back Treatment groups
fort['Treatment'] <- wa['Treatment']
#Remove rows without Treatment info
newfort <- na.omit(fort)

label <- c("#C77CFF","#C77CFF","#C77CFF","#C77CFF","#00BFC4","#00BFC4","#00BFC4","#00BFC4","#F8766D","#F8766D","#F8766D","#F8766D","#7CAE00","#7CAE00","#7CAE00","#7CAE00")
label2 <- c("#C77CFF","#00BFC4","#F8766D","#7CAE00")

#Ordibar
ordiplot(nmds1, display = "sites", type = "none", main = "Ordibar NMDS")
ordibar(nmds1, display = "sites", groups = data$Treatment, col = label2, length = 0.2)
points(newfort[, 3], newfort[, 4], pch = 16, cex = 1.5, col = label)
ordiellipse(nmds1, groups = data$Treatment, draw = "lines", col = label2, alpha = 1)

Hardly a solution (more like turn it on and off again) and most likely overkill but here's what I did:

  rm -rf ~/.vscode*
  rm -rf ~/Library/Application\ Support/Code
  rm -rf ~/Library/Saved\ Application\ State/com.microsoft.VSCode.savedState
  rm -rf ~/Library/Preferences/com.microsoft.VSCode.helper.plist 
  rm -rf ~/Library/Preferences/com.microsoft.VSCode.plist 
  rm -rf ~/Library/Caches/com.microsoft.VSCode
  rm -rf ~/Library/Caches/com.microsoft.VSCode.ShipIt
  sudo rm -rf /Applications/Visual\ Studio\ Code.app

Reinstalled VScode and Code Runner.

The instead of messing with JSON directly. Just used default checkboxes

JSON output of this:

    {
    "code-runner.executorMap": {

        "javascript": "node",
        "java": "cd $dir && javac $fileName && java $fileNameWithoutExt",
        "c": "cd $dir && gcc $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
        "zig": "zig run",
        "cpp": "cd $dir && g++ $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
        "objective-c": "cd $dir && gcc -framework Cocoa $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
        "php": "php",
        "python": "python3 -u",
        "perl": "perl",
        "perl6": "perl6",
        "ruby": "ruby",
        "go": "go run",
        "lua": "lua",
        "groovy": "groovy",
        "powershell": "powershell -ExecutionPolicy ByPass -File",
        "bat": "cmd /c",
        "shellscript": "bash",
        "fsharp": "fsi",
        "csharp": "scriptcs",
        "vbscript": "cscript //Nologo",
        "typescript": "ts-node",
        "coffeescript": "coffee",
        "scala": "scala",
        "swift": "swift",
        "julia": "julia",
        "crystal": "crystal",
        "ocaml": "ocaml",
        "r": "Rscript",
        "applescript": "osascript",
        "clojure": "lein exec",
        "haxe": "haxe --cwd $dirWithoutTrailingSlash --run $fileNameWithoutExt",
        "rust": "cd $dir && rustc $fileName && $dir$fileNameWithoutExt",
        "racket": "racket",
        "scheme": "csi -script",
        "ahk": "autohotkey",
        "autoit": "autoit3",
        "dart": "dart",
        "pascal": "cd $dir && fpc $fileName && $dir$fileNameWithoutExt",
        "d": "cd $dir && dmd $fileName && $dir$fileNameWithoutExt",
        "haskell": "runghc",
        "nim": "nim compile --verbosity:0 --hints:off --run",
        "lisp": "sbcl --script",
        "kit": "kitc --run",
        "v": "v run",
        "sass": "sass --style expanded",
        "scss": "scss --style expanded",
        "less": "cd $dir && lessc $fileName $fileNameWithoutExt.css",
        "FortranFreeForm": "cd $dir && gfortran $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
        "fortran-modern": "cd $dir && gfortran $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
        "fortran_fixed-form": "cd $dir && gfortran $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
        "fortran": "cd $dir && gfortran $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
        "sml": "cd $dir && sml $fileName",
        "mojo": "mojo run",
        "erlang": "escript",
        "spwn": "spwn build",
        "pkl": "cd $dir && pkl eval -f yaml $fileName -o $fileNameWithoutExt.yaml",
        "gleam": "gleam run -m $fileNameWithoutExt"
    },
    "code-runner.clearPreviousOutput": true,
    "code-runner.showExecutionMessage": false
}

require "sinatra" require "dotenv/load" require "net/http" require "json"

There is a circular dependency.

constructor(@Inject(forwardRef(() => UserService)) private readonly userService: UserService) {}

add this line in your service of auth. (Auth.service.ts)

and try to share the code of AuthServices too.

If you are adding breakpoint on a package, make sure that package is linked to the flutter project. Sometime we might have linked the package from git, and expecting the brake-point on local to work.

Recently on october 2024 I updraded my laptop to 24H2 from 23H2, since then I couldn't login with domain user and while readding with domain I get the same error The following error occurred when DNS was queried for the service location (SRV) resource record used to locate an Active Dire

The error was: "DNS name does not exist." (error code 0x0000232B RCODE_NAME_ERROR)

The query was for the SRV record for _ldap._tcp.dc._msdcs.domain.com

Common causes of this error include the following:

• The DNS SRV records required to locate a AD DC for the domain are not registered in DNS. These records are registered with a

.

How did you solve this issue?

Thanks in advance..

could you provide more code or details? I'm having trouble understanding your issue as it stands.

You can use "Python Getter Setter" extension: Marketplace

Python Getter Setter extension capture

0 -> Install extension

1 -> Select args

2 -> Command Pallete (Ctrl + Shift + P)

3 -> Generate Getter Setter for Python

4 -> Done

With images:

Select args

Command Pallete

Generate Getter Setter for Python

Done

Now I had actually installed multiple environments from where I'd launch jupyter randomly, there was the problem even when I tried the pip install or !pip install it didn't work, turned out that it was the python location issue so while using the note before you begin on the first cell type

• !{sys.executable} -m pip install pandas this should do the trick by defaulting the pandas module installation location

in the file .graphqlrc.ts change

module.exports = getConfig();

to

export default getConfig();

then in the Schemas and Project Structure tab click on the root icon and press Restart Schema discovery button.

I faced the same issue and the issue was the using wrong cron expression. As an example, if I use */2 * * * * to schedule every 2 minutes, it fires multiple times but not with 0 0/2 * 1/1 * ? *.

I used cronmaker to build the schedules, it uses the so-called Quartz format.

Thanks @jitender.

To restrict access on the project level, you may:

1. Update permissions of your project area level:

2. Update permissions on the root of pipelines

3. The same for the repos:

If your PostgreSQL data is being deleted automatically in a local Kubernetes cluster, this typically points to an issue with the storage configuration. In Kubernetes, the default storage type, emptyDir, is ephemeral. When emptyDir is used, the data is deleted each time the pod is terminated or recreated, leading to data loss. To resolve this, use a PersistentVolume (PV) and PersistentVolumeClaim (PVC) for your PostgreSQL data. This setup ensures that data persists even if the pod restarts or is replaced. also visit: Best ott apps

The aws configure command only requests for the Access Key Id and secret access key. To solve the issue open the credentials file, located at C:\Users\YOURUSER.aws then add aws_session_token=YOUR TOKEN to the credentials file under default. This should solve the issue

It seems the problem you are trying to set the PATH environment variable.

It can even handle 2009 digit numbers as integeres flawless.

number = 0 for i in range(0,2010): number += 9*10**i print(str(number))

I encountered the same issue after installing @react-native-firebase/app version 21.4.0. To resolve it, I downgraded @react-native-firebase/app, @react-native-firebase/auth, and @react-native-firebase/firestore to version 19.0.0. After the downgrade, everything worked fine for me.

I found this question today when looking for such a diagram for WPF controls.

When searching for wpf controls inheritance diagram or wpf controls class hierarchy diagram, it shows that there are a couple of diagrams for WPF control inheritance:
https://medium.com/wpf-windows-presentation-foundations-by-peculia/wpf-overview-controls-class-hierarchies-d8f373a3a62f (only a few classes)
https://kittencode.wordpress.com/2011/02/03/wpf-class-hierarchy-diagram/ (seems to be complete)
http://www.japf.fr/2010/01/wpf-internals-how-the-wpf-controls-are-organised/ (many classes, but likely not complete; shows properties)

I have not checked any of them, thus I cannot tell whether they are complete or correct.

When searching quickly for uwp controls class hierarchy diagram, I was not able to find something similar. But I did not put much effort in this search, because I needed the diagram for WPF.

Having the same issue using a clean setup with yarn create next-app --typescript

Did you find any solution?

Found solution by adding path of chrome to the chrome options. (using options.binary_location)

import undetected_chromedriver as uc
options = webdriver.ChromeOptions()
options.binary_location = "/usr/bin/google-chrome"
driver = uc.Chrome(options=options)

For above to work, chrome and chromedriver have to have matching versions.

Thank you heaps, I had the same behaviour and it was driving me nuts ... Weirdly though, my colleguaes used the same image and it w

In my case, I simply updated the Git plugin in Jenkins and then restarted Jenkins to apply the changes.

Like this?

library(ggplot2)

df <- data.frame(
  location = c(1, 2, 2, 1),
  year = c(22, 23, 24, 22),
  measurement = c("parameter1", "parameter2", "parameter1", "parameter3"),
  value = c(3, 2, 4, 2),
  treatment = c("A", "B", "A", "C")
)

ggplot(df, aes(x = factor(year), y = value, fill = treatment)) +
  geom_bar(stat = "identity", position = "stack") +
  facet_wrap(~ location) +
  labs(x = "Year", y = "Value", fill = "Treatment") +
  theme_minimal()

the value of u you are calculating needs to be fixed with proper use of braces

here's the correct version:

u = ((a + math.sqrt(a**2 - 1))**2) * ((b + (math.sqrt(b**2 - 1)))**2) * (c + (math.sqrt(c**2 - 1))) * (d + (math.sqrt(d**2 - 1)))

Easy, use the excellent nirsoft portable tool to disable context menu items that you don't want.

• To make it easier to find, sort by filename column first.
• Click the first item, hold shift and click the last item to multiple select entries
• Then, right click all the selected items and click disable.

Changes take effect immediately.

For those using poetry this might help

CFLAGS="-I$(brew --prefix graphviz)/include/ -L$(brew --prefix graphviz)/lib/" poetry install

We are facing the same problem, we opened an issue on the roadmap

So after I understood that the issue was just in vscode, I found that is a know issue of Intelephense due the fact that in older php versions, constants could not be declared in php traits

https://github.com/bmewburn/vscode-intelephense/issues/2024

the solution is to suppress the message using /** @disregard P1012 */ on top like this

MyTrait.php

<?php

namespace App;

class MyTrait {
    
    public function myTraitMethod() {
        /** @disregard P1012 */
        return self::MY_CONST;
    }
}

Have you already tried a higher learning rate? I would maybe go up to 0.02.

And what could also help would be normalizing the data. The values are very high, so for the model the step between 82000 and 90000 is not that big. Maybe try min/max normalization.

Neuronal networks are often try and error - so just try it out and play with the parameters.

Checking for amount of found locators should work

def is_element_present(selector):
    if page.locator(selector).count == 0:
        // No elements were found by this selector
        returns False
    return True