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1. Showing time duration and run time in wavesurfer drivers#
2. Showing time duration and run time in wavesurfer code#
3. Showing time duration and run time in wavesurfer free#

Create a time-based trigger to automatically run the process function If your output involves other columns then you’d want to modify this function to clear out those as well. This is fine for my example because my process function simply writes a number into this column. I find the number of the last row in my spreadsheet that contains data and then clear out everything in the first column except the header in row 1. Sheet.getRange(2,1,lastRow-1,1).clearContent() clear out the matches and output sheets Var ss = SpreadsheetApp.getActiveSpreadsheet() Here I set a variable called loopCounter to 0 and store that in my Properties Service, which allows my script to store key-value pairs for future reference. Var userProperties = PropertiesService.getUserProperties() Saving the counter variable with the Properties Service Let’s look at each of these three steps in turn. The time-based trigger will then run my process function a set number of times until some condition is satisfied.

Showing time duration and run time in wavesurfer code#

The code for this goes in your code.gs script file, along with all the code for this example: To run the program, I added a custom menu option: Here’s a screencast of this simple program in action (speeded up):īehind the scenes, everything is running on autopilot once I’ve clicked that first Run button. It’s deliberately basic as the focus is on the trigger/timing architecture. In this simple example, I’m going to output a random number in a new line of my spreadsheet every minute until I’ve looped through a set number of times (2 in this case). Time-based triggers with Google Apps Script

Showing time duration and run time in wavesurfer free#

The entire code file is here on GitHub and the spreadsheet is available here (feel free to make a copy: File > Make a copy… and then you can open the script editor to modify the code). In this post I’m going to show a skeleton example of this time-based architecture, to which you can add your own functionality.

Using Google Apps Script, you can add these time-based triggers programmatically, so they can run and stop automatically. To do this and stay within the 6 minute execution limit for Apps Script, I split my data into “blocks” of 10 rows, counted how many blocks I had and then ran the matching algorithm once for each block until they’d all been processed.īy adding time-based triggers, I setup my Google sheet to do this automatically, rather than having me click a button each time. Pause can result in lost sample points between data buffers.Ever find yourself needing to repeat an action in your Google Sheets?įor example, on a recent client project I wanted to cycle through my spreadsheet data, compare it to another dataset and apply a matching algorithm. Transfer data back to Simulink pauses data collection until the entire buffer has been transferred. Although points within a buffer are contiguous, the time required to MAT-file names can be automatically incremented, enabling you to capture and store manyĭata buffers. With data archiving, you can save each buffer of data to its own MAT-file. You can save the data directly to a MAT-file by usingĭata archiving in Simulink external mode. Transferred, it is immediately plotted in a Simulink

Transfer runs at a lower priority while the process waits for another interrupt toĭata captured within one buffer is contiguous. After model computations are finished, data Transfer of data is less critical than maintaining When the buffer is filled, the real-timeĪpplication continues to run while Simulink transfers the data to the MATLAB ® environment through Simulink external mode. Hardware, the application stores contiguous response data in memory accessible to

Showing time duration and run time in wavesurfer drivers#

Using the I/O drivers to communicate with the In Run in Kernel mode, the real-time application and the I/Oĭrivers run in the kernel mode process.