streams | Provides a simple abstraction over streams of data | Stream Processing library

Use ESM syntax, also use one of these methods before running the file.

1. specify "type":"module" in package.json
2. Or use this flag --input-type=module when running the file
3. Or use .mjs file extension

I had a similar problem with another module.

The solution I found was to update both node (to v16) and npm (to v8).

For Node, I used brew (but nvm should be OK).

For npm, I used what the official doc says :

npm install -g npm@latest

I had same issue when i was using pytube 11.0.0

so found out that there is a regular expression filter mismatch in pytube library in cipher.py class

function_patterns = [

Found this issue, pytube v11.0.1. It's a little late for me, but if no one has submitted a fix tomorrow I'll check it out.

in C:\Python38\lib\site-packages\pytube\parser.py

Change this line:

152: func_regex = re.compile(r"function\([^)]+\)")

to this:

152: func_regex = re.compile(r"function\([^)]?\)")

The issue is that the regex expects a function with an argument, but I guess youtube added some src that includes non-paramterized functions.

If you haven't already, install Git on your PC: https://git-scm.com/download/win

Then open the command window as admin and install this patch:

As juanchosaravia suggested on https://github.com/pytube/pytube/issues/1199, in order to solve the problem, you should go in the cipher.py file and replace the line 30, which is:

Since you have everything containerized, it's way simpler.

Just set up a small healthcheck endpoint with Spring Web which serves to see if the server is still running, something like:

Here is what you need (probably):

Thread safety does not necessarily imply being accessed by only one thread. The important aspect is that there is no concurrent access, i.e. no access by more than one thread at the same time. If the access by different threads is temporally ordered and this ordering also ensures the necessary memory visibility, which is the responsibility of the caller, it still is a thread safe usage.

The Spliterator documentation says:

Despite their obvious utility in parallel algorithms, spliterators are not expected to be thread-safe; instead, implementations of parallel algorithms using spliterators should ensure that the spliterator is only used by one thread at a time. This is generally easy to attain via serial thread-confinement, which often is a natural consequence of typical parallel algorithms that work by recursive decomposition.

The spliterator doesn’t need to be confined to the same thread throughout its lifetime, but there should be a clear handover at the caller’s side ensuring that the old thread stops using it before the new thread starts using it.

But the important takeaway is, the spliterator doesn’t need to be thread safe, hence, the iterator wrapped by a spliterator also doesn’t need to be thread safe.

Note that a typical behavior is splitting and handing over before starting traversal, but since an ordinary Iterator doesn’t support splitting, the wrapping spliterator has to iterate and buffer elements to implement splitting. Therefore, the Iterator experiences traversal by different threads (but one at a time) when the traversal has not been started from the Stream implementation’s perspective.

That said, the lines() implementation of BufferedReader is a bad example which you should not follow. Since it’s centered around a single readLine() call, it would be natural to implement Spliterator directly instead of implementing a more complicated Iterator and have it wrapped via spliteratorUnknownSize(…).

Since your example is likewise centered around a single poll() call, it’s also straight-forward to implement Spliterator directly: