Another way to for-loop through spaces

This creates a different kind of structure from the one in the video. The video routine creates a 2-D arrangement that is "columns" wide and "rows" deep.

But this creates a simple (1-D) array that is "rows' × "columns" long. You could refactor the code to work this way, but you'd need to change all the references from 2-D (like "spaces[row][column]") to 1-D (like "spaces[row * column]").

I also wrote the same nested loop to create the 1D array. Personally, I was mixing definitions of 'nested level' and 'dimension'. As my array consists of an array with arrays of depth 1, giving a total depth of 2, I thought I'd met the brief.

Having watched the video and also heard the explanation that we are essentially chunking the 1D version into columns so we can more easily access them later. I was a lot happier.

// 2D version
[ [ [0,0],[0,1],...,[0,5] ] , [ [1,0],[1,1],...,[1,5] ] ,..., [ [6,0],[6,1],...,[6,5]] ]

// 1D version
[[0,0],[0,1],...,[0,5],[1,0],...,[5,5],[6,0],...,[6,5]]

I understood the difference between the two approaches by actually drawing out the arrays using both methods using a pencil and paper. You may try this way to understand it better. I could have posted the drawing had there been a way to do so in here.