dictionary | Dictionary app that can work without JavaScript | Runtime Evironment library

I believe this will work: For each list, we will filter the values where conf is negative, and after that we will filter conf itself.

SQLAlchemy does not return a dictionary, which is what pydantic expects by default. You can configure your model to also support loading from standard orm parameters (i.e. attributes on the object instead of dictionary lookups):

Looking at the header here: https://github.com/hunspell/hunspell/blob/master/src/hunspell/hunspell.h#L80

Here's a solution. It's a little long, but it works:

The key order in Dict is currently undefined (this might change in the future).

If you want order to be preserved use OrderedDict from DataStructures.jl:

This dict-comprehension should do it:

Let me try to answer my own question. The dict implementation in CPython is optimised for lookups of str keys. Indeed, there are two different functions that are used to perform lookups:

• lookdict is a generic dictionary lookup function that is used with all types of keys
• lookdict_unicode is a specialised lookup function used for dictionaries composed of str-only keys

Python will use the string-optimised version until a search for non-string data, after which the more general function is used.

And it looks like you cannot even reverse the behaviour of a particular dict instance: once it starts using the generic function, you can't go back to using the specialised one!

There is a difference between kernel-level and user-level threads. In simple words:

• Kernel-level threads: Threads that are managed by the operating system, including scheduling. They are what is executed on the processor. That's what probably most of us think of threads.
• User-level threads: Threads that are managed by the program itself. They are also called fibers or coroutines in some contexts. In contrast to kernel-level threads, they need to "yield the execution", i.e. switching from one user-level to another user-level thread is done explicitly by the program. User-level threads are mapped to kernel-level threads.

As user-level threads need to be mapped to kernel-level threads, you need to choose a suiteable mapping. You could map each user-level to a separate kernel-level thread. You could also map many user-level to one kernel-level thread. In the latter mapping, you let multiple concurrent execution paths be executed by a single thread "as we know it". If one of those paths blocks, recall that user-level threads need to yield the execution, then the executing (kernel-level) thread blocks, which causes all other assigned paths to also be effectively blocked. I think, this is what the statement refers to. FYI: In Java, user-level threads – the multithreading you do in your programs – are mapped to kernel-level threads by the JVM, i.e. the runtime system.

Related stuff:

• Understanding java's native threads and the jvm
• What is the difference between a thread and a fiber?
• What is difference between User space and Kernel space?
• What is the difference between concurrent programming and parallel programming?
• Implementing threads

I haven't looked at the rest of the stdlib, but EnumMeta accomplishes this by overriding the __dir__ method (i.e. specifying it in the EnumMeta class):