VIOLA | based visualization tool for spiking neuronal network | Data Visualization library

Yes, all this is correct.

There's a second reason for this design: it allows the compiler to verify that the operations you're performing on the vector elements are using memory in a safe way, relative to how they're stored.

For example, if you had a method on ChattyAnimal that mutates the animal (i.e. takes a &mut self argument), you could call that method on elements of a Vec> as long as you had a mutable reference to the vector; the Rust compiler would know that there could only be one reference to the ChattyAnimal in question (because the only reference is inside the Box, which is inside the Vec, and you have a mutable reference to the Vec so there can't be any other references to it). If you tried to write the same code with a Vec>, the compiler would complain; it wouldn't be able to completely eliminate the possibility that your code might be mutating the animal at the same time as the code that called it was in the middle of trying to read the animal, which might lead to some inconsistencies in the calling code.

As a consequence, the compiler needs to know that all the elements of the Vec have their memory treated in the same way, so that it can check to make sure that a reference to some arbitrary element of the Vec is being used appropriately.

(There's a third reason, too, which is performance; because the compiler knows that this is a "vector of Boxes" or "vector of Rcs", it can generate code that assumes a particular storage mechanism. For example, if you have a vector of Rcs, and clone one of the elements, the machine code that the compiler generates will work simply by going to the memory address listed in the vector and adding 1 to the reference count stored there – there's no need for any extra levels of indirection. If the vector were allowed to mix different allocation schemes, the generated code would have to be a lot more complex, because it wouldn't be able to assume things like "there is a reference count", and would instead need to (at runtime) find the appropriate piece of code for dealing with the memory allocation scheme in use, and then run it; that would be much slower.)

First a disclaimer: It's been a while since I've worked with JPA directly so take the answer below with a grain of salt.

Your model currently defines that Pais and Moneda have a composition relationship, i.e. if you remove the Pais instance the related Moneda will be removed as well.

This is expressed in 2 ways in the one-to-one annotation on Pais.moneda:

• orphanRemoval = true defines that if you remove Moneda from the Pais (by setting moneda to null) the Moneda instance gets "orphaned" and thus removed
• cascade = CascadeType.ALL states that all operations should be cascaded to the related Moneda instance which includes deletes.

So when you delete the Pais the delete will be cascaded to the Moneda while first removing the relation would cause the orphan removal to hit here.

Your @JoinColumn on Monda.pais contains nullable = true so it seems you want Moneda to actually have an aggregation relationship with Pais, i.e. it could exist with pais being null as well.

Thus you'd need to change Pais.moneda to the following:

You can do it with the $event parameter. Make sure to compare your values safely.

If your value is not in the right type or has spaces or unwanted chars, this c.state == val might not work.

You can use the trim function to compare your value safely: c.state.trim() == val.trim()

HTML

1. getElementsByClassName returns an node list not element, thats what console error was showing. You have two rows, so target first one from list with [0]:

   .getElementsByClassName('row')[0]

2. you need to create new elements on the fly for each object in loop so move that creation inside loop.

3. you are not accessing your object data at all to insert it into created elements. Use character.wat and character.who

4. Also research this very useful tool: insertAdjacentElement

When it comes to performance, I always find that vanilla JS is faster than any library implementation. So I always prefer vanilla JS for this reason. Here, a non-lodash.js solution, that places the desired values into the array, though you can simply deep-clone your original array:

Using sub you can try :

I'm from Casbin team. The source code of https://casbin.org/CssToAndFromReact/ is the master branch of repo: https://github.com/casbin/CssToAndFromReact and it's deployed to the gh-pages branch.

We forked from https://github.com/htbkoo/CssToAndFromReact and add some changes. You can assemble a script to run automatically against multiple files via using our source code.

I'm not sure whether the "\n" are literal or a representation of the LF character, but I'll assume the former and you can adjust the formula, if necessary. The solution involves splitting the lines, iterating through the lines and filtering the lines containing '%' and joining the lines again. Use the following formula in the "Edit Cells -> Transform" dialog:

forEach(value.split('\\n'),l,if(l.contains('%'),'',l)).join('\\n')

To break it down:

• value.split('\\n') yields an array of split lines
• forEach(array,l,f) iterates through the array assigning each line to the variable l and applying function f
• if(l.contains('%'),'',l)) returns the empty string if l contains a percent ('%') otherwise the original string
• array.join('\\n') joins your filtered lines back together again

The solution was to declare a tracker for each object, and initiate that tracker once as following: