INSTALLNOTES.rtf

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\f0\fs24 \cf0 #Opened Anaconda and then Jupyterlab\
#Cloned mfapy GitHub to \'93Xoots\\__Experiment_Data\\mfapy\'94 folder\
#Opened a terminal from Jupyterlab, cd to this mfapy folder\
#Followed the mfapy README and set up an environment using this:\
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conda create -n mfapy python=3.9 numpy scipy matplotlib joblib\
\
#Note that environment will be saved in Anaconda\\envs\\mfapy\
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conda activate mfapy\
\
#After activating, it is easy to see which environment is being used, because it is the first part of the terminal line\
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conda install -c conda-forge nlopt\
conda install -c anaconda mkl-service\
\
#Also updated anaconda using:\
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conda update -n base -c defaults conda\
\
#Note that the conda version can checked with:\
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conda info\
\
#Then installed and tested mfapy using:\
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python setup.py install\
python setup.py test\
\
#Test failed, seems to be due to missing nlopt, maybe they were taken out when conda was updated, so reran them AGAIN:\
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\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
\cf0 conda install -c conda-forge nlopt\
conda install -c anaconda mkl-service\
\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
\cf0 \
\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
\cf0 #Then installed and tested mfapy AGAIN using:\
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python setup.py install\
python setup.py test\
\
#Still got this error:\
ModuleNotFoundError: No module named 'nlopt'\
\
#Tried installing nlopt directly using:\
pip install nlopt\
\
#Then tested AGAIN, and the test result was \'93OK\'94 (38 tests in 1.5 s)\
\
#Closed terminal, then opened a notebook in the mfapy folder, which uses the \'93ipykernel\'94 (upper right)\
\
}