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BradGreig / Hybrid21CM

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LC mcmc error #31

Open binnietom opened 5 years ago

binnietom commented 5 years ago

Hi Steven,

Just to let you know, the Light cone mcmc example (from docs/tutorials/) produces the following error (below) when I run it. -I need to rewrite some mpi things anyway so I'll make my own function for now but I thought I'd let you know. Thanks, Tom

/home/tab216/anaconda2/envs/hybrid/lib/python3.6/site-packages/powerbox/dft.py:51: UserWarning: You do not have pyFFTW installed. Installing it should give some speed increase. warnings.warn("You do not have pyFFTW installed. Installing it should give some speed increase.") Traceback (most recent call last): File "lightcone_tutorial.py", line 47, in log_level_stream=logging.DEBUG File "/home/tab216/Hybrid21CM/src/py21cmmc/mcmc/mcmc.py", line 147, in run_mcmc chain.setup() File "/home/tab216/Hybrid21CM/src/py21cmmc/mcmc/cosmoHammer/LikelihoodComputationChain.py", line 163, in setup cModule.setup() File "/home/tab216/Hybrid21CM/src/py21cmmc/mcmc/likelihood.py", line 420, in setup LikelihoodBaseFile.setup(self) File "/home/tab216/Hybrid21CM/src/py21cmmc/mcmc/likelihood.py", line 129, in setup simctx = self.chain.simulate_mock() File "/home/tab216/Hybrid21CM/src/py21cmmc/mcmc/cosmoHammer/LikelihoodComputationChain.py", line 76, in simulate_mock core.simulate_mock(ctx) File "/home/tab216/Hybrid21CM/src/py21cmmc/mcmc/core.py", line 157, in simulate_mock self.build_model_data(ctx) File "/home/tab216/Hybrid21CM/src/py21cmmc/mcmc/core.py", line 453, in build_model_data write=self.io_options['cache_ionize'], KeyError: 'cache_ionize'

steven-murray commented 5 years ago

Hi Tom,

Yeah, I saw this too. It's actually fixed on the master branch over at https://github.com/21cmfast/21CMMC. I don't know if that helps you at all -- if you want to keep up with the latest version, you should probably use that one.