Tell us all the commands you did to install the package.
or install the conda manager then do this from the command line (you should add conda binary path to you PATH):
conda install -c clawpack -c conda-forge clawpack
No, YOU are doing something wrong.uh! Is that a bug in Python?That's not the correct link. Your error arise in the pip file unpacking.py
What next?
All the other packages install fine.No, YOU are doing something wrong.uh! Is that a bug in Python?That's not the correct link. Your error arise in the pip file unpacking.py
What next?
def make_network() -> hk.RNNCore:
"""Defines the network architecture."""
model = hk.DeepRNN([
lambda x: jax.nn.one_hot(x, num_classes=dataset.NUM_CHARS),
hk.LSTM(FLAGS.hidden_size),
jax.nn.relu,
hk.LSTM(FLAGS.hidden_size),
hk.nets.MLP([FLAGS.hidden_size, dataset.NUM_CHARS]),
])
return model
Bonsoir Cuch. Tout va bien?Bonsoir, Monsieur tags
It looks like explicitly giving the return type (Python 3.8.3?) just as in C++ lambda functions?
https://docs.python.org/3/library/typing.html
Looks important, anything that promotes robustness.
Yep.This is a great tool for exposing C++ code to Python: https://github.com/pybind/pybind11