reservoir | Reservoir sampling implementation with akka-streams support

Pretty much, I have a database of movies in a table called MovieDatabase.

I am testing a feature that uses a Kafka producer and listener, with the help of spring-kafka-test.

Both spring-kafka and spring-kafka-test are using the 2.8.2 version.

My test classes use the @EmbeddedKafka annotation as follows:

I am trying to do a HGAM in order to separate my large dataset by Reservoir. One of my predictor variables is Season_Y, indicating the season and year it the sample was taken. Here is my code:

How can I merge every two consecutive lines in a file?

Full disclosure: I am a student who has likely messed up some conventions, notation and best practices. I warmly welcome feedback.

I am trying to implement a version of the gas station example found in the SimPy documentation, attached here:

In a C++ program, I get multiple chunks of PCM data and I am currently using libmp3lame to encode this data into MP3 files. The PCM chunks are produced one after another. However, instead of waiting until the PCM data stream finished, I'd like to encode data early as possible into multiple MP3 chunks, so the client can either play or append the pieces together.

As far as I understand, MP3 files consist of frames, files can be split along frames and published in isolation. Moreover, there is no information on length needed in advance, so the format is suitable for streaming. However, when I use libmp3lame to generate MP3 files from partial data, the product cannot be interpreted by audio players after concatted together. I deactivated the bit reservoir, thus, I expect the frames to be independent.

Based on this article, I wrote a Python script that extracts and lists frames from MP3 files. I generated an MP3 file with libmp3lame by first collecting the whole PCM data and then applying libmp3lame. Then, I took the first n frames from this file and put them into another file. But the result would be unplayable as well.

How is it possible to encode only chunks of an audio, which library is suitable for this and what is the minimum size of a chunk?

if ur text like

Reservoir 1992 reviewed by Reservoir Har even RESERVOIR DOGS

first thing u have to do is to put the all the words in a one column ,

I have a quanteda tokens object that I created using the "window" option (see code below). I'm interested in doing this on a series of words in order to inform the creation of a custom dictionary. How can I "de-tokenize" or concatenate or recombine each tokenized "window" text into a string. Each string could either be an item in a list or a row in a data.frame. I just need to be able to read instances of the word/phrase (in this case "future") in its context.

Is there some command or code that would let me "de-tokenize" this?

Given source and target dataframes in Pandas, I need to update a column in the target dataframe by an amount specified in a column of the source dataframe, for every match on a key column.

In the example below, the source and target dataframes are RecetteDF and InventaireDF, respectively. The key column common to both is Codes interne. Quantite Reserver in the target has to be incremented with values from Quantite requise from the source on matching key.

I've made it work, but it's really not optimal.

So far my function looks like this: