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structure of data from MicroMacroAnalyser

Asked by wangxiaoliang

Part of the data from MicroMacroAnalyser is below, but what is meaning of every colume?
1005
0 0.586055 1.34902 0.384492 0.154744 3.53349e-313 -3.23516e-42 8.48798e-314 -0.112338 -0.786673 -0.601412 1
1 0.107843 0.411292 0.207951 0.153977 3.53349e-313 -3.23516e-42 8.48798e-314 0.0497734 0.402168 -0.162091 1
2 0.106701 1.20871 0.227778 0.153222 3.53349e-313 -3.23516e-42 8.48798e-314 -0.37439 0.762097 -0.279149 1
3 0.364543 1.58986 0.844102 0.152477 3.53349e-313 -3.23516e-42 8.48798e-314 0.103945 -0.375213 0.42399 1
4 0.503381 1.07056 0.0936406 0.151744 3.53349e-313 -3.23516e-42 8.48798e-314 -0.290468 -0.684548 -0.217042 1

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Bruno Chareyre (bruno-chareyre) said : 		#1

Allthough I'm the author of MicroMacroAnalyzer, I have no idea how youfound those numbers.
Could you be a bit more precise on what you did?

Also, MMA is wrapped into TesselationWrapper which is documented and more user-friendly. How did you have the idea to use MMA directly?

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wangxiaoliang (wangxiaoliang) said : 		#2

After the istropic compression, I just add MMA engines into the global engine like below

O.engines=O.engines[0:5]+[MicroMacroAnalyser(interval=6000)]+O.engines[5:6]

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Bruno Chareyre (bruno-chareyre) said : 		#3

MMA is wrapped into TesselationWrapper which is documented and more user-friendly.

Can you help with this problem?

Provide an answer of your own, or ask wangxiaoliang for more information if necessary.

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