melody | : notes : Minimalist websocket framework for Go | Websocket library

I would use one button (let's call it the record button) to switch between play & record and only play. In this way, whenever you push buttons that get those buzzer frequencies will not save, but when you like the melody and want to save you can click the record button and start to save. For making this happen, follow the algorithm below:

After your first function, create a function for record button. In this function, you need call your first function (void play) you have already written and add one more snippet of code for assigning the value of pushed button into the int array you will create at the beginning of your code (let's call it int recorded[]).

One more step remains and that's to check (if the record button is pushed) the switch button, so it will toggle between record & play and play and call the corresponding function. Finally, you can add one more button to play the melody from your int recorded[].

I have finished the code already. You can check my comments throughout the code. It might not be the shortest way to work, simulate and test the results, but I believe it is going to solve your problem. Let me know if it helped you.

Link: https://onlinegdb.com/PV7Mu_51q

Embedded:

The connect() method returns an AudioNode, which must then have connect() called on it so the Nodes are chained together:

You could process all the "Roster" data in batches by keeping track of the last row that you have processed with PropertiesService

You might try something like this:

Yes, one of the improvements in music21 v.7 is that files imported from MIDI now have a similar representation to files imported from MusicXML and other formats. Specifically, Parts now have Measures, which may or may not have Voices, rather than Parts directly containing Voices. Code should not depend on finding Voices directly contained in Parts, which is what this example was doing.

Instead, use this code to find all the measure-voices:

It's probably not NP-hard.

Form a graph whose nodes correspond one-to-one to (contiguous) subarrays. For each pair of nodes u, v where u's right boundary is v's left, add an arc from u to v whose length is determined by distance(). Create an artificial source with an outgoing arc to each node whose left boundary is the beginning. Create an artificial sink with an incoming arc from each node whose right boundary is the end.

Now we can find a shortest path from the source to the sink via the linear-time (in the size of the graph, so cubic in the parameter of interest) algorithm for directed acyclic graphs.

I do not have ability to test that on macOS, but after searching on PyPI I found boombox which might work for you, first install it

You're missing a quote in case 1. It should be case '1'. In ASCII, Digit character '1' is 49 in decimal

--- UPDATE ----

Root cause is you have defined the data type of choice local variable is integer. Consequently, when assign input value to this variable. An implicit cast is executed. It means it will convert ASCII character to decimal.

Resolution

Approach 1: Convert input from command line to Integer

With this approach, you must use integer value in switch..case

I wouldn't really care about the fact that the input is taking X instead of Y number of bits, at least when it comes to GPU memory. Most of it is occupied by the network's weights and intermediate outputs, which will likely be float32 anyway (maybe float16). There is active research on training with lower precision (even binary training), but based on your question, it seems completely unnecessary. Lastly, you can always try Quantization to your production models, if you really need it.

With regards to the packing: it can have an impact, especially if you do it naively. The grouping you're suggesting doesn't seem to be a natural one, therefore it may be harder to learn patterns from the grouped data than otherwise. There'll always be workarounds, but then this answer become an opinion because it is almost impossible to antecipate what could work; an opinion-based questions/answer are off-topic around here :)