I honestly just wanted to play around with a random block pattern and experiment with different colors for this project. I kept it fairly simple because I was having trouble understanding the script process. In the beginning, I couldn't figure out how to create a block and automate it, but after looking at another classmate's project, I realized that you had to make the block through pen trails first and then stamp it through script. I was overthinking the process a lot, but once I figured it out, I found it a lot simpler in creating organized code. For the revisions, I went back and simplified my code even more to make it easier to read and more versatile. data:image/png;base64,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I honestly just wanted to play around with a random block pattern and experiment with different colors for this project. I kept it fairly simple because I was having trouble understanding the script process. In the beginning, I couldn't figure out how to create a block and automate it, but after looking at another classmate's project, I realized that you had to make the block through pen trails first and then stamp it through script. I was overthinking the process a lot, but once I figured it out, I found it a lot simpler in creating organized code. For the revisions, I went back and simplified my code even more to make it easier to read and more versatile.

data:image/png;base64,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 made little changes to this project in order to make things easier to read and make it simpler. In the "paint the background" block and the "make red background bars" block, I utilized a repeat block to change the y-value by the same values. I also made a new block to create a bar with whatever width and height I want. With this, I created a 2nd layer red bar to add dimension and placed it after the "make full green bars" block to make it work.00