Disorder | Different sorting algorithms implemented in Python | Learning library

You might use a pattern to match the line that starts with an @ and digit and has distribute_event: message EventRinging at the end of the string.

Then continue matching all lines that do not start with @ and a digit and match the line the contains RTargetObjectSelected' '?VAG_EMERGENCIA2

All you needed at this point is to add align-items:center; to .buttons and it would work, like so:

It may be hard if you try to find a way to load it with read_csv(). I think it would be better if you clean your data before loading it into a data frame.

hclust returns just a dendrogram representing clusters inside clusters. The silhouette score is defined on one specific clustering and not on all possible clusterings. This is why it works with Partitioning Arround Medoids (PAM) out of the box. In hierarchical clustering, however, one needs to decide first which clustering to chose by cutting dendrogram tree.

This is how to plot the silhouettes for a hierarchical clustering using k=5 clusters:

because map and forEach methods don't handle the asynchronous function you passed in an async await way.

When you check the polyfill of both method, you'll find a line like this callback.call(T, kValue, k, O);. So, basically, it just execute the callback. If the callback is an asynchronous method, it doesn't wait its execution to be done. Instead, it continue executing other codes.

So, when you save your array of data to database, your callbacks inside map & forEach just issue a few query, the final order of database's execution may be uncertain.

You're going to find a few challenges here, such as body-positivity being in one of your sentences but not being a keyword. There could be many variations you are missing. However you can take an initial stab at it by splitting all of the individual sentences into rows, then using the regex to find the matches. You can stack those back up into lists of matches if you want.

I've put your shacl shapes file and data graph into PySHACL to isolate the issue you are seeing.

There are two problems with your given setup that I have found.

Firstly, SPARQL-Based Targets is a feature from the SHACL Advanced Specification. PySHACL does not enable the Advanced-Spec features by default. You can enable "advanced mode" by passing advanced=True to the validation module, or -a or --advanced on the commandline tool.

That is the main reason your SPARQL target was not selecting the nodes you expected.

Next, after enabling advanced mode, you will see that PySHACL fails when loading your SHACL Shape Graph. That is because your prefix namespace is not declared correctly.

See the examples in the SPARQL-Prefixes section of the Spec document. The specification states

"The values of sh:namespace are literals of datatype xsd:anyURI."

Your sh:namespace is a URIRef, not a Literal. Changing the namespace declaration to the following, fixes the error.

This db-fiddle works as expected. Notice the output. It shows a proper GROUP BY.

Query source:

You can define String union type in typescript as