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I used conda to create the environment and then selected the "chemvae" interpreter in vscode. When I try to run the first cell of the given example script (all of the imports), I run into the error below, I tried removing and adding the environment again, I also tried using pycharm instead of vscode, and neither fixed the problem. I am new to using conda so please bear with me, thanks in advance.
TypeError Traceback (most recent call last)
in
3 environ['KERAS_BACKEND'] = 'tensorflow'
4 # vae stuff
----> 5 from chemvae.vae_utils import VAEUtils
6 from chemvae import mol_utils as mu
7 # import scientific py
c:\Users\yhtru\anaconda3\envs\chemvae\lib\importlib_bootstrap.py in find_and_load(name, import)
c:\Users\yhtru\anaconda3\envs\chemvae\lib\importlib_bootstrap.py in find_and_load_unlocked(name, import)
c:\Users\yhtru\anaconda3\envs\chemvae\lib\importlib_bootstrap.py in _load_unlocked(spec)
c:\Users\yhtru\anaconda3\envs\chemvae\lib\importlib_bootstrap.py in _load_backward_compatible(spec)
c:\Users\yhtru\anaconda3\envs\chemvae\lib\site-packages\chemvae-1.0.0-py3.6.egg\chemvae\vae_utils.py in
3 import random
4 import yaml
----> 5 from .models import load_encoder, load_decoder, load_property_predictor
6 import numpy as np
7 import pandas as pd
c:\Users\yhtru\anaconda3\envs\chemvae\lib\importlib_bootstrap.py in find_and_load(name, import)
...
---> 82 class ArgumentParser(Generic[_T], metaclass=_ArgumentParserCache):
83 """Base class used to parse and convert arguments.
84
TypeError: metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases
The text was updated successfully, but these errors were encountered:
I used conda to create the environment and then selected the "chemvae" interpreter in vscode. When I try to run the first cell of the given example script (all of the imports), I run into the error below, I tried removing and adding the environment again, I also tried using pycharm instead of vscode, and neither fixed the problem. I am new to using conda so please bear with me, thanks in advance.
TypeError Traceback (most recent call last)
in
3 environ['KERAS_BACKEND'] = 'tensorflow'
4 # vae stuff
----> 5 from chemvae.vae_utils import VAEUtils
6 from chemvae import mol_utils as mu
7 # import scientific py
c:\Users\yhtru\anaconda3\envs\chemvae\lib\importlib_bootstrap.py in find_and_load(name, import)
c:\Users\yhtru\anaconda3\envs\chemvae\lib\importlib_bootstrap.py in find_and_load_unlocked(name, import)
c:\Users\yhtru\anaconda3\envs\chemvae\lib\importlib_bootstrap.py in _load_unlocked(spec)
c:\Users\yhtru\anaconda3\envs\chemvae\lib\importlib_bootstrap.py in _load_backward_compatible(spec)
c:\Users\yhtru\anaconda3\envs\chemvae\lib\site-packages\chemvae-1.0.0-py3.6.egg\chemvae\vae_utils.py in
3 import random
4 import yaml
----> 5 from .models import load_encoder, load_decoder, load_property_predictor
6 import numpy as np
7 import pandas as pd
c:\Users\yhtru\anaconda3\envs\chemvae\lib\importlib_bootstrap.py in find_and_load(name, import)
...
---> 82 class ArgumentParser(Generic[_T], metaclass=_ArgumentParserCache):
83 """Base class used to parse and convert arguments.
84
TypeError: metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases
The text was updated successfully, but these errors were encountered: