How can I have a collection of objects that differ by their associated type?

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小蘑菇
小蘑菇 2020-11-30 15:10

I have a program that involves examining a complex data structure to see if it has any defects. (It\'s quite complicated, so I\'m posting example code.) All of the checks ar

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  • 2020-11-30 15:34

    I'd suggest you some refactoring.

    First, I'm pretty sure, that vectors should be homogeneous in Rust, so there is no way to supply elements of different types for them. Also you cannot downcast traits to reduce them to a common base trait (as I remember, there was a question about it on SO).

    So I'd use algebraic type with explicit match for this task, like this:

    enum Checker {
        Even(EvenCheck),
        Negative(NegativeCheck),
    }
    
    let checks = vec![
        Checker::Even(EvenCheck),
        Checker::Negative(NegativeCheck),
    ];
    

    As for error handling, consider use FromError framework, so you will able to involve try! macro in your code and to convert error types from one to another.

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  • 2020-11-30 15:42

    When you write an impl Check and specialize your type Error with a concrete type, you are ending up with different types.

    In other words, Check<Error = NegativeError> and Check<Error = EvenError> are statically different types. Although you might expect Check<Error> to describe both, note that in Rust NegativeError and EvenError are not sub-types of Error. They are guaranteed to implement all methods defined by the Error trait, but then calls to those methods will be statically dispatched to physically different functions that the compiler creates (each will have a version for NegativeError, one for EvenError).

    Therefore, you can't put them in the same Vec, even boxed (as you discovered). It's not so much a matter of knowing how much space to allocate, it's that Vec requires its types to be homogeneous (you can't have a vec![1u8, 'a'] either, although a char is representable as a u8 in memory).

    Rust's way to "erase" some of the type information and gain the dynamic dispatch part of subtyping is, as you discovered, trait objects.

    If you want to give another try to the trait object approach, you might find it more appealing with a few tweaks...

    1. You might find it much easier if you used the Error trait in std::error instead of your own version of it.

      You may need to impl Display to create a description with a dynamically built String, like so:

      impl fmt::Display for EvenError {
          fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
              write!(f, "{} is even", self.number)
          }
      }
      
      impl Error for EvenError {
          fn description(&self) -> &str { "even error" }
      }
      
    2. Now you can drop the associated type and have Check return a trait object:

      trait Check  {
          fn check_number(&self, number: i32) -> Option<Box<Error>>;
      }
      

      your Vec now has an expressible type:

      let mut checks: Vec<Box<Check>> = vec![
          Box::new(EvenCheck) ,
          Box::new(NegativeCheck) ,
      ];
      
    3. The best part of using std::error::Error...

      is that now you don't need to use PartialEq to understand what error was thrown. Error has various types of downcasts and type checks if you do need to retrieve the concrete Error type out of your trait object.

      for number in numbers {
          for check in &mut checks {
              if let Some(error) = check.check_number(number) {
                  println!("{}", error);
      
                  if let Some(s_err)= error.downcast_ref::<EvenError>() {
                      println!("custom logic for EvenErr: {} - {}", s_err.number, s_err)                    
                  }
              }
          }
      }
      

    full example on the playground

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  • 2020-11-30 15:43

    I eventually found a way to do it that I'm happy with. Instead of having a vector of Box<Check<???>> objects, have a vector of closures that all have the same type, abstracting away the very functions that get called:

    fn main() {
        type Probe = Box<Fn(i32) -> Option<Box<Error>>>;
    
        let numbers: Vec<i32> = vec![ 1, -4, 64, -25 ];
        let checks = vec![
            Box::new(|num| EvenCheck.check_number(num).map(|u| Box::new(u) as Box<Error>)) as Probe,
            Box::new(|num| NegativeCheck.check_number(num).map(|u| Box::new(u) as Box<Error>)) as Probe,
        ];
    
        for number in numbers {
            for check in checks.iter() {
                if let Some(error) = check(number) {
                    println!("{}", error.description());
                }
            }
        }
    }
    

    Not only does this allow for a vector of Box<Error> objects to be returned, it allows the Check objects to provide their own Error associated type which doesn't need to implement PartialEq. The multiple ases look a little messy, but on the whole it's not that bad.

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