splitter | Request splitting reverse proxy | Proxy library

The docs of the model selection objects of scikit-learn, e.g. GridSearchCV, are maybe a bit clearer how to achieve this:

cv: int, cross-validation generator or an iterable, default=None

• ...
• An iterable yielding (train, test) splits as arrays of indices.

So you need the arrays of indices for training and test samples as a tuple and then wrap them in an iterable, e.g. a list:

It is importing the DecisionTreeClassifier, no problem there. But by default, sklearn prints only the parameters that were given to estimator with non-default values, from this function.

But if you want to see the "full" output, you can set the configuration of print_changed_only to False via sklearn._config.set_config like so:

Just add the top attribute for vertical centering (if you want it) and then be sure to add the transform property to offset the svg's actual width by -50%:

I think a dictionary would be a better data structure for your purposes. This example creates a HDF5 file to mimic your file structure. It has a random number of frames for each subject (between 1-4).
After creating the file, it the loops on the root level names (assumes all are datasets), and creates a dictionary where the key the subject id and the value is the count.
Once it exits the loop, it creates 3 different NumPy arrays from the dictionary: 1) arr0 has both subject and count, 2) arr1 only has the subject and 3) arr2 only has the count.
Everything is printed so you can see what's going on.

This is a work in progress and needs some more testing based on your use case. I did some research and determine that the best way to split your long tweets would be with textwrap. This module will allow you to cleanly break your tweets into chunks.

I only attempted one tweet and one twitter handle in my tests, but I believe that the code below should work for your use case or give you a solid starting point to fit this functionality into your code.

Let me know if you have any questions about the code.

Can you tell us your exact JDev version, please?

User the 'disabled' property of the . This will hide the icon.

Seems like what you are doing is splitting on semicolon, then splitting on comma, then combining the results. So lets do that

Right click the column and split on semicolon, each occurrence of the delimiter, advanced option Rows

Right click the new column and split on comma, each occurrence of the delimiter, advanced option Columns

Right click the index and group

Edit the grouping formula in the formula bar or in home..advanced editor... to replace whatever it has as a default and instead end with this, which combines all the rows using a , delimiter

I'm not sure I can say anything specific about your timings, since it's still not clear how did you measure/calculate the numbers exactly, but you are right, "multithreading does not give a linear speedup to the number of threads...1/n" in most of the cases. Why?

I'm sure you have heard about Amdahl's law (https://en.wikipedia.org/wiki/Amdahl%27s_law). You can achieve "1/n" only if you don't have any sequential part of the program, a portion of the program that cannot be parallelized. But even if your own code/business logic/algorithm (or its portion to be parallelized) doesn't have such part, there are the underlying software and hardware layers that execute your code and these layers can introduce some sequential parts because of contention on some resources. For example, you can pass only one Ethernet packet at a time over a single-mode fiber or over a single twisted pair; your HDD can write data in only one position of its magnetic heads at a time; you have sequential access to the main memory because of the front-side bus and the memory bus; L2/L3 cache invalidation takes additional work to be done to be synchronized; a translation lookaside buffer (TLB) miss leads to walking to the main memory (see above about the front-side bus and the memory bus); to allocate a new object in JVM in the heap (when Thread-local allocation buffers (TLABs) is full) some internal synchronization required; you can get stop-the-world pauses on GC while compaction, which looks like a sequential portion of your code; classloading and JIT's activity add their sequential-like parts to the application; a 3rd party library may have some synchronization on a static value; etc., etc.

So, you can see "1/n" only in very very simple cases when not your application code, nor the underlying levels have any shared resources used. Here is an example

If you read Knuth's TAOCP (The Art of Computer Programming) Volume 1, Section 2.2.3 in the 3rd Edn, you'll find Knuth's "Algorithm T (Topological sort)" and also the comment:

A topological sorting technique similar to Algorithm T (but without the important feature of the queue links) was first published by A. B. Kahn, CACM 5 (1962), 558-562.

This indicates that Knuth's Algorithm T is different from Kahn's algorithm.