Closed
Description
Found a 100% repeatable crash with fluid.umap~
. If you send it a dataset with each row being identical (I found this via mistake) then fluid.umap~
crashes instantly.
I imagine having to dimensionally reduce redundant data isn't really useful, but I wouldn't expect a crash from it.
Below is an example patch, dataset, and crash report.
All of this is on version 1.0.0+sha.d0e42a3.core.sha.f86443a
Steps to reproduce:
read
repeated_data.json
intofluid.dataset~
getname
to trigger thefittransform
influid.umap~
----------begin_max5_patcher----------
478.3ocuUssiaBCD8Y3qvxpORQXSHIzmx+QUUkSX1rdEXP1CaS0pc+1q8XR6
1tYUtrogG.M27YNlyX+TZBec+NvwYeg8UVRxSoIIjqfijI6DdmZ2lVkiRi2A
NmZKvyhwPXGR9uSinUYb20a6XeRtOtYrqeDaAjpVL4cPgatWa19cKrAinKlM
OuHiIppCeVVEdKk4EruMUSbYveN.wB37eGR2PsP+5G9rP7Jj0l8.KC9dNMM7
J6Cxzs.ZTcv4yvkx.oVP7r5RI3rqF+LvO7K3a+Q1NpaxG6TCuvV4AoQ2AFmt
23XR1pVPYMVEBrhbuoFAuAErpfsx2QMZG5iUQ0Z.816W2OZcLQwg2vjGURHK
JyqmIqqlWVSOUK76ekkmvFX16oRjGVlHthxjAq1fmuHIxqnHoTdghj5+6CAV
P0b1jKNUOwsxKjaKtMC.MJT4.7kyV0FIoWgQmiU7QToGUiRUwa0l+8LbpuB9
+a567iha1i6jPg8mVqAbn1PyyuJGQLmCtAep3r3FgyraDNg0PbLbtJ.INEFI
eKTQogZX3Qv5lRmPwOC7PuMXtLiL0lnYIYZgG06ymFk4JqWhid88nk5L9t4w
Kg3c8Mf0Lpmjkd94gjluBWP5FTQpPigoOm9KEYf9GB
-----------end_max5_patcher-----------