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&[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/a2c04391-f59b-4d46-851a-19cec3429da4 |
&[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/2b84a315-dfb5-4f99-8d42-db3de8c6f667 |
Thank you. Your reply makes sense, but it is misleading for the output of SyntaxLength to depend upon anything other than the string itself, without getting into speculations about what might lie "beyond" the string. No one would be ever be... |
&[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/621a4738-8886-49ff-82f5-e9d2c5043db4 |
It is certainly interesting that s[s[k[s]][s[k]]] reduces [a][b][c] to c[a[b][c]], and also very striking that s[s[k[s]][s[k]]] manages to annihilate itself in the process, but how was s[s[k[s]][s[k]]] arrived at in the first place? It it unique? |
&[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/403c49b7-d9bb-48f2-b471-f54acf141e8c |
Dynamically reflecting image from webcam: parflip[arg_Image]:= ImageRotate[Image@Transpose@ImageData@arg,-Pi/2] twinsho[size_]:= Dynamic@Show[ImageAssemble@{{parflip@CurrentImage[],CurrentImage[]}},ImageSize->size] ... |
This is very interesting. I suspect you used a pretty high quality video camera (compared to, say, an iPhone 6s). I have fooled around with using iPhone videos to track various thrown projectiles (such as an indoor (so as not to damage the walls) ... |
&[embedded notebook][1] [1]: https://www.wolframcloud.com/obj/9c923a1a-4c0e-4f37-a44b-e0966073a8fc |
Good point. Perhaps there is a proof that "booby traps" cannot be completely avoided! |