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For visualizer 2.1.0 and using it in jupyter (probably from kaggle-environments?) I can observe the following quirks:
in Firefox (not Chrome) there will always be scrollbars for the whole window - no matter how large you choose the output size. It will always think a tiny bit of the canvas does not fit, even though it's only empty space https://i.postimg.cc/nzMBTJkW/Screenshot-20210808-112820.png
analysis graph could do more meaningful axis ticks (e.g. only integer numbers for "# of cities" and some kind of even space for the x-axis. Currently the x-axis will show irregular ticks like (0,9,20,33,...))
images and all text is selectable with the mouse by dragging. this is probably not useful and awkward
the visualizer may freeze the browser (at least Firefox) for about 2min and finally crash the tab (this may be related to the previous point as it happen when playing with that?)
tiles in the right corner of the board are not selectable as if the right stats info blocks this, but this happens even if the right stats info is hidden -> maybe one should be able to select through the right state info anyway
For visualizer 2.1.0 and using it in jupyter (probably from kaggle-environments?) I can observe the following quirks:
Without this points it would be even more polished.
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