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The first quote is really saying the reference is not separable from the object.

... still seems to imply that "a reference is an object".

It really implies that a reference is a non-separable, non-first-class alias for an object, exactly as you first said.

The difficulty with these discussions is that the standardese meaning of "object" is already different from the meaning used in most less-formal contexts.

Let's start simple:

int a;

Would often be described as declaring an integer object a, right? It actually

1. declares an integer object
2. binds the name a to that object in the appropriate scope

Now, if we write

int &b = a;

we could say that b is the object in the same way as we could say that a is the object. Actually neither are correct, but given that informal text already uses the latter, it's no worse.

We should instead say that the name b refers to the same object as the name a. This is exactly consistent with calling it an alias, but informal or introductory texts would seem pretty cumbersome if they wrote "... the integer object referred to by the name a ..." everywhere instead of just "the integer a".

As for taking space in memory ... it depends. If I introduce 100 aliases for a single object inside a single function I'd be really surprised if the compiler didn't just collapse them (although of course they might still show up in debug symbols). No information is being lost here by eliding the redundant names.

If I pass an argument by reference to a non-inlined function, some actual information is being communicated, and that information must be stored somewhere.

Alright, until this problem get solved, I did this trick for my project:
I shared which files I need (like datasets) with my other accounts. For this, you should:

1. Go to your google drive (where your file is stored) then right-click on it and choose "Share"
2. Click on "Change to anyone with the link"
3. Copy link and open it in new window
4. In top-right side, click on your google accounts list and select which one you need
5. At the opened window, in top-right side click on "Add shortcut to Drive" and choose location where you want to save file in it
6. Your file now is accessible in account you did choose

The org.mapstruct:mapstruct dependency contains the needed annotations to signal the org.mapstruct:mapstruct-processor what to do.

It also contains the Mappers factory that is used when using the default component model. Therefore, the scope of org.mapstruct:mapstruct depends on the component model that you are using:

If you are using this component model then you need org.mapstruct:mapstruct during runtime if you are using Mappers or if you have dependencies between different mappers.

In theory you can use the default component model and instantiate your own mappers. However, dependencies between mappers are still going to use Mappers, unless you have instantiated your mapper in MyMapper.INSTANCE somehow already, then MapStruct will use MyMapper.INSTANCE to get the instance of the MyMapper. This would mean that you can still use the same scope as the other component models (see below for more information)

In this case you do not need org.mapstruct:mapstruct during runtime and you can use true with provided.

With Gradle this would be compileOnly dependency.

Note: Be careful when using Spring Boot and provided the Spring Boot maven plugin will still include the org.mapstruct:mapstruct dependency in the final provided jar. You'll need to ignore it by configuring the Spring Boot Maven plugin.

First note that if you apply base function diff to the months columns, you will get one column less but transposed.

I had deep discussion about locking with transaction in mongodb community. In the conclusion, I learn and found the limitation of transaction. There is no lock we can use to handle concurrent request for this task.

You can see the full Mongodb community conversation at this link https://www.mongodb.com/community/forums/t/implementing-locking-in-transaction-for-read-and-write/127845

Github demo code with Jmeter testing shows the limitation and not able to handle concurrent request for this task. https://github.com/naisargparmar/concurrencyMongo

New suggestion are still welcome and appreciate

Expanding on my comment, this is an example of how you could implement something like this.

To reiterate - the main problem was that the error was being shown if any result didn't match instead of showing if none match

To fix that, we can add a variable outside the loop to determine if any result was matched

If one stares at the binary codes for the ASCII characters for the nucleobases intently, it becomes clear that bits 1 and 2 provide a unique two-bit code: A = 0b01000001 -> 0b00, C = 0b01000011 -> 0b01, G = 0b01000111 -> 0b11, T = 0b01010100 -> 0b10. Analogous for the lowercase ASCII characters, which differ merely in bit 5. Unfortunately this simple mapping does not quite match the .2bit-encoding, in that the codes for A and T are swapped. One way of fixing this is with a simple four-entry permutation table stored in a variable, likely assigned to a register after optimization ("in-register lookup-table"):

Based on this issue

https://github.com/semantic-release/semantic-release/issues/1593

you also need the npm module.

• npm install @semantic-release/npm -D
• add "private": true, to your package.json if you don't want to publish to npm
• add the npm plugin to the release configuration file (the order matters)

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If std​::​exit is called to end a program during the destruction of an object with static or thread storage duration, the program has undefined behavior.