MOTOSHARE 🚗🏍️
Turning Idle Vehicles into Shared Rides & Earnings

From Idle to Income. From Parked to Purpose.
Earn by Sharing, Ride by Renting.
Where Owners Earn, Riders Move.
Owners Earn. Riders Move. Motoshare Connects.

With Motoshare, every parked vehicle finds a purpose. Owners earn. Renters ride.
🚀 Everyone wins.

Start Your Journey with Motoshare

compact(): Undefined variable: operator

I got an error message , “compact(): Undefined variable: operator,” suggests that there’s a problem with the variable named $operator in your code. This variable is being used as an argument to the compact function, but it appears that it hasn’t been defined or initialized in the current context. This error typically occurs when you attempt to use the compact function with a variable that hasn’t been defined in the current scope.

Solution:

Search for $operator, Use your code editor or IDE’s search functionality to look for all instances where $operator is used. This will help you identify where the variable should be defined or if it’s being used incorrectly.

Check Variable Scope, Ensure that the $operator variable is defined within the appropriate scope where compact is called. Variable scope is essential in PHP, so make sure the variable is accessible where it’s needed. Double-check for any typos or syntax errors in your code. Even a minor typo can lead to unexpected issues.

$postsDoctors = Post::whereHas('doctor', function($query) use ($searchWord) {
    return $query->whereRaw('name REGEXP "'.sql_text_to_regx($searchWord).'"');
})->orderBy('top','desc')
  ->orderBy('updated_at','desc')
  ->paginate(30);

Related Posts

Building AI Systems with MLOps Across the United States

If you’re working with artificial intelligence or machine learning anywhere in the United States—whether you’re in the tech hubs of California, the innovation centers of San Francisco,…

Understanding MLOps for AI in the United Kingdom and London

If you work with machine learning or artificial intelligence in the UK, especially in places like London, you’ve probably noticed something. It’s easy to build a smart…

Understanding MLOps for AI Projects in the Netherlands and Amsterdam

If you work with machine learning or artificial intelligence in the Netherlands, especially in places like Amsterdam, you might have noticed a common problem. It’s easy to…

Implementing MLOps for Machine Learning Models in India

If you work with machine learning in cities like Bangalore, Hyderabad, or Chennai, you know it’s not just about building smart models. The real challenge starts when…

Building MLOps for Machine Learning Across Canada

If you’re working with machine learning in Canada’s tech hubs—from the bustling innovation centers of Toronto and Vancouver to the growing scenes in Ottawa, Montreal, and Calgary—you’ve…

Understanding Microservices Architecture for Developers in Bangalore

Hey there! If you build or work with software in Bangalore, you’ve probably heard people talking about microservices. Maybe your team is thinking about switching to this…

0 0 votes
Article Rating
Subscribe
Notify of
guest
0 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x