How to get results directly in brightway2 using the calculation setup already made in activity browser

[zeeshankhan2]

Hi There,
I built a calculation setup in activity browser having multiple activities and methods and now want to get results in brightway2 for further analysis. I found the MultiLCA method to do this as below.

mlca = MultiLCA("Aluminium and Steel") #where as "Aluminium and steel" is the name of calculation setup built in Ab
mlca.results

but when i run above code i am getting the following error. Could someone help me with the code i am new to python.

---

PyPardisoError                            Traceback (most recent call last)
[d:\intro](file:///D:/intro) to brightway2 activities.ipynb Cell 10 in ()
----> [1](vscode-notebook-cell:/d%3A/intro%20to%20brightway2%20activities.ipynb#X12sZmlsZQ%3D%3D?line=0) mlca = MultiLCA("Aluminium and Steel")
      [2](vscode-notebook-cell:/d%3A/intro%20to%20brightway2%20activities.ipynb#X12sZmlsZQ%3D%3D?line=1) mlca.results

File [c:\Users\M.](file:///C:/Users/M.) Zeeshan\anaconda3\lib\site-packages\bw2calc\multi_lca.py:42, in MultiLCA.__init__(self, cs_name, log_config)
     36 self.lca = LCA(demand=self.all, method=self.methods[0], log_config=log_config)
     37 self.lca.logger.info({
     38     'message': 'Started MultiLCA calculation',
     39     'methods': list(self.methods),
     40     'functional units': [wrap_functional_unit(o) for o in self.func_units]
     41 })
---> 42 self.lca.lci(factorize=True)
     43 self.method_matrices = []
     44 self.results = np.zeros((len(self.func_units), len(self.methods)))

File [c:\Users\M.](file:///C:/Users/M.) Zeeshan\anaconda3\lib\site-packages\bw2calc\lca.py:342, in LCA.lci(self, factorize, builder)
    340 if factorize:
    341     self.decompose_technosphere()
--> 342 self.lci_calculation()

File [c:\Users\M.](file:///C:/Users/M.) Zeeshan\anaconda3\lib\site-packages\bw2calc\lca.py:350, in LCA.lci_calculation(self)
    344 def lci_calculation(self):
    345     """The actual LCI calculation.
...
--> 286     raise PyPardisoError(pardiso_error.value)
    287 else:
    288     return np.ascontiguousarray(x)

PyPardisoError: The Pardiso solver failed with error code -3. See Pardiso documentation for details.
Output is truncated. View as a [scrollable element](command:cellOutput.enableScrolling?e81e7728-f701-41bf-8e83-d8b890907da7) or open in a [text editor](command:workbench.action.openLargeOutput?e81e7728-f701-41bf-8e83-d8b890907da7). Adjust cell output [settings](command:workbench.action.openSettings?%5B%22%40tag%3AnotebookOutputLayout%22%5D)...

[marc-vdm]

I'm not sure from the code you shared, but it seems to me you have to first mlca.calculate() before you can mlca.results(). However, questions on how to use Brightway are best directed at the Brightway mailing lists, e.g. this one, which will be better for helping you.

[marc-vdm]

@zeeshankhan2 Oh and perhaps also check out: https://docs.brightway.dev/en/latest/api/bw2calc/multi_lca/index.html

[zeeshankhan2]

Thanks @marc-vdm i will post it in brightway2mailing list.unfortunately I dont not see any function for mlca.calculate() may be i am missing something
Thanks

[marc-vdm]

You're right, I was mistaken there, I think there's another problem with some library versions,I see @Zoophobus can help you further with that.

[zeeshankhan2]

Thanks @marc-vdm

[Zoophobus]

HI @zeeshankhan2 please ignore this!! could you provide a printout of your environment? The packages that we want to look out for in case it is a result of an issue with the dependencies are intel-openmp and the mkl, there's a conflict between the versions (2022.0.1 and 2021.4.0)

[Zoophobus]

Okay, so that may be related to this older issue then. You can try downgrading your version of intel-openmp with the following:

conda install -c conda-forge intel-openmp=2021.4

and see if that works.

I'm linking @haasad as he has more experience with this and might be interested

[zeeshankhan2]

thanks @Zoophobus .Anyway, I did the same but still same error is coming up.

[Zoophobus]

@zeeshankhan2 maybe you can post your results here to the brightway mailing list, I hope they should have better ideas than myself

[zeeshankhan2]

@Zoophobus thanks for the input i will do the same.

[zeeshankhan2]

Hi @Zoophobus thanks for the last input i think it worked now i dont know why it was not working yesterday but now i am getting an array of results thanks.
Sharing it below for the future may be help out someone else.

#Geeting results in brightway from the calculation setup made in Ab
mlca = MultiLCA("Aluminium and Steel") #Aluminium and Steel is name of Calculation setup
mlca.results

Output:
array([[2.09657573e+00, 2.65885607e+00, 2.32025668e+00, 2.83776633e+00,
2.06668225e+00, 2.11006377e+00, 2.23153339e+00, 2.61858445e+00,
2.08202261e+00, 3.88123061e-04, 8.58825500e-04, 2.22964321e-03,
6.58157617e-03, 5.94571506e-04, 4.42790488e-04, 2.58206700e-03,
7.66388934e-03, 2.06501616e+00, 2.10792596e+00, 2.22802181e+00,
2.61071156e+00, 2.08014962e+00, 2.10820635e+00, 2.31764391e+00,
2.81415585e+00, 2.10993244e+00, 2.32151897e+00, 2.82313615e+00,
1.27796885e-03, 1.27898318e-03, 1.28193721e-03, 1.29131535e-03,
1.27841373e-03, 1.28329727e-03, 1.29299360e-03, 1.31641269e-03,
9.87751202e-03, 2.31825221e+00, 2.80769885e-03, 2.31415706e+00,
1.28745586e-03, 8.36607011e+01, 7.50058280e+00, 7.56299839e+01,
5.30134347e-01, 2.23006127e+01, 1.01162435e-03, 2.38480012e-03,
2.27492459e-02, 1.68631197e-08, 0.00000000e+00, 9.89884526e-09,
6.96427444e-09, 9.17407084e-08, 4.24156340e-08, 4.84256931e-08,
1.24713521e-09, 6.86944888e-02, 8.04935242e+00, 1.66779663e-05,
3.73702387e-08, 2.21137063e-07, 1.01512929e-02, 6.52158886e-01,
9.87751202e-03, 2.23153339e+00, 2.22964321e-03, 2.22802181e+00,
1.28193721e-03, 1.08835911e+01, 1.03461573e+01, 5.37433843e-01,
2.23006127e+01, 1.01162435e-03, 2.38480012e-03, 2.27492459e-02,
1.68631197e-08, 9.89884526e-09, 6.96427444e-09, 4.97349375e-08,
4.84877557e-08, 1.24718179e-09, 6.86944888e-02, 8.04935242e+00,
1.66779663e-05, 3.73702387e-08, 2.21137063e-07, 1.01512929e-02,
6.52158886e-01, 6.47947272e-03, 2.68410609e+00, 1.88775006e-01,
6.81224277e-02, 5.67731524e+00, 4.93436019e-01, 1.01170349e-03,
1.34962508e-04, 1.92573441e-03, 6.57203036e-02, 5.75098852e-02,
...
8.41145497e-02, 6.46796875e-02, 1.30594157e+01, 6.01425155e-01,
2.54002161e+03, 1.74449456e+01, 3.03580125e+00, 4.49274782e-03,
3.62829901e-04, 2.09379666e+02, 1.75757082e+03, 3.35176669e-01,
1.65427819e-01, 2.24477814e-01, 4.50637338e-06, 2.85324962e-02,
3.77558344e-02, 3.83420175e-02, 8.41145497e-02]])