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I ran the demo programs (Tutorial_example-GRS.ipynb and Tutorial_decompose_single_spectrum.ipynb) with scipy v1.6.0 under python v3.8.7 without any problem.
I met this problem just yesterday. When using Scipy v1.5.4/ Python 3.6, Optimize raises "ValueError: x0 violates bound constraints" in Tutorial_example step 1. After I changed to v1.4.1 , no Error appeared.
Emmm, if I read this issue earlier, I won't get trouble with this hhhh.
Hi Chen,
It works with a more recent configuration for me : Python 3.8.7, scipy 1.6.0, numpy 1.19.5, and lmfit 1.0.1
Le 6 avr. 2021 à 04:31, Xu Chen ***@***.***> a écrit :
I met this problem just yesterday. When using Scipy v1.5.4/ Python 3.6, Optimize raises "ValueError: x0 violates bound constraints" in Tutorial_example step 1. After I changed to v1.4.1 , no Error appeared.
Emmm, if I read this issue earlier, I won't get trouble with this hhhh.
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"S'il n'y a pas de solution, c'est qu'il n'y a pas de problème" (devise Shadok)
It seems that upgrading to newer versions of scipy (>= v1.5.0) may cause an error as discussed here.
The workaround for now is to downgrade scipy to a previous version (v1.4.1 is tested and known to work).
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