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- Traceback (most recent call last):
- File "/opt/anaconda3/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution
- executenb(
- File "/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 1087, in execute
- return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute()
- File "/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 74, in wrapped
- return just_run(coro(*args, **kwargs))
- File "/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 53, in just_run
- return loop.run_until_complete(coro)
- File "/opt/anaconda3/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete
- return future.result()
- File "/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 540, in async_execute
- await self.async_execute_cell(
- File "/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 832, in async_execute_cell
- self._check_raise_for_error(cell, exec_reply)
- File "/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 740, in _check_raise_for_error
- raise CellExecutionError.from_cell_and_msg(cell, exec_reply['content'])
- nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
- ------------------
- # Filtering
- fig, ax = plt.subplots()
- plot_inference(filtered_dist, z_hist, ax)
- ax.set_ylabel("p(loaded)")
- ax.set_title("Filtered")
-
-
- ------------------
- [0;31m---------------------------------------------------------------------------[0m
- [0;31mValueError[0m Traceback (most recent call last)
- [0;32m<ipython-input-17-a3a9c11b46bd>[0m in [0;36m<module>[0;34m[0m
- [1;32m 1[0m [0;31m# Filtering[0m[0;34m[0m[0;34m[0m[0;34m[0m[0m
- [1;32m 2[0m [0mfig[0m[0;34m,[0m [0max[0m [0;34m=[0m [0mplt[0m[0;34m.[0m[0msubplots[0m[0;34m([0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
- [0;32m----> 3[0;31m [0mplot_inference[0m[0;34m([0m[0mfiltered_dist[0m[0;34m,[0m [0mz_hist[0m[0;34m,[0m [0max[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
- [0m[1;32m 4[0m [0max[0m[0;34m.[0m[0mset_ylabel[0m[0;34m([0m[0;34m"p(loaded)"[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
- [1;32m 5[0m [0max[0m[0;34m.[0m[0mset_title[0m[0;34m([0m[0;34m"Filtered"[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
- [0;32m<ipython-input-16-9c8ddad3f57c>[0m in [0;36mplot_inference[0;34m(inference_values, z_hist, ax, state, map_estimate)[0m
- [1;32m 3[0m [0mn_samples[0m [0;34m=[0m [0mlen[0m[0;34m([0m[0minference_values[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
- [1;32m 4[0m [0mxspan[0m [0;34m=[0m [0mnp[0m[0;34m.[0m[0marange[0m[0;34m([0m[0;36m1[0m[0;34m,[0m [0mn_samples[0m [0;34m+[0m [0;36m1[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
- [0;32m----> 5[0;31m [0mspans[0m [0;34m=[0m [0mfind_dishonest_intervals[0m[0;34m([0m[0mz_hist[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
- [0m[1;32m 6[0m [0;32mif[0m [0mmap_estimate[0m[0;34m:[0m[0;34m[0m[0;34m[0m[0m
- [1;32m 7[0m [0max[0m[0;34m.[0m[0mstep[0m[0;34m([0m[0mxspan[0m[0;34m,[0m [0minference_values[0m[0;34m,[0m [0mwhere[0m[0;34m=[0m[0;34m"post"[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
- [0;32m<ipython-input-15-4606c615e17a>[0m in [0;36mfind_dishonest_intervals[0;34m(z_hist)[0m
- [1;32m 4[0m [0mx_init[0m [0;34m=[0m [0;36m0[0m[0;34m[0m[0;34m[0m[0m
- [1;32m 5[0m [0;32mfor[0m [0mt[0m[0;34m,[0m [0m_[0m [0;32min[0m [0menumerate[0m[0;34m([0m[0mz_hist[0m[0;34m[[0m[0;34m:[0m[0;34m-[0m[0;36m1[0m[0;34m][0m[0;34m)[0m[0;34m:[0m[0;34m[0m[0;34m[0m[0m
- [0;32m----> 6[0;31m [0;32mif[0m [0mz_hist[0m[0;34m[[0m[0mt[0m [0;34m+[0m [0;36m1[0m[0;34m][0m [0;34m==[0m [0;36m0[0m [0;32mand[0m [0mz_hist[0m[0;34m[[0m[0mt[0m[0;34m][0m [0;34m==[0m [0;36m1[0m[0;34m:[0m[0;34m[0m[0;34m[0m[0m
- [0m[1;32m 7[0m [0mx_end[0m [0;34m=[0m [0mt[0m[0;34m[0m[0;34m[0m[0m
- [1;32m 8[0m [0mspans[0m[0;34m.[0m[0mappend[0m[0;34m([0m[0;34m([0m[0mx_init[0m[0;34m,[0m [0mx_end[0m[0;34m)[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
- [0;32m/opt/anaconda3/lib/python3.8/functools.py[0m in [0;36m_method[0;34m(cls_or_self, *args, **keywords)[0m
- [1;32m 397[0m [0;32mdef[0m [0m_method[0m[0;34m([0m[0mcls_or_self[0m[0;34m,[0m [0;34m/[0m[0;34m,[0m [0;34m*[0m[0margs[0m[0;34m,[0m [0;34m**[0m[0mkeywords[0m[0;34m)[0m[0;34m:[0m[0;34m[0m[0;34m[0m[0m
- [1;32m 398[0m [0mkeywords[0m [0;34m=[0m [0;34m{[0m[0;34m**[0m[0mself[0m[0;34m.[0m[0mkeywords[0m[0;34m,[0m [0;34m**[0m[0mkeywords[0m[0;34m}[0m[0;34m[0m[0;34m[0m[0m
- [0;32m--> 399[0;31m [0;32mreturn[0m [0mself[0m[0;34m.[0m[0mfunc[0m[0;34m([0m[0mcls_or_self[0m[0;34m,[0m [0;34m*[0m[0mself[0m[0;34m.[0m[0margs[0m[0;34m,[0m [0;34m*[0m[0margs[0m[0;34m,[0m [0;34m**[0m[0mkeywords[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
- [0m[1;32m 400[0m [0m_method[0m[0;34m.[0m[0m__isabstractmethod__[0m [0;34m=[0m [0mself[0m[0;34m.[0m[0m__isabstractmethod__[0m[0;34m[0m[0;34m[0m[0m
- [1;32m 401[0m [0m_method[0m[0;34m.[0m[0m_partialmethod[0m [0;34m=[0m [0mself[0m[0;34m[0m[0;34m[0m[0m
- [0;32m/opt/anaconda3/lib/python3.8/site-packages/jax/_src/device_array.py[0m in [0;36m_forward_method[0;34m(attrname, self, fun, *args)[0m
- [1;32m 39[0m [0;34m[0m[0m
- [1;32m 40[0m [0;32mdef[0m [0m_forward_method[0m[0;34m([0m[0mattrname[0m[0;34m,[0m [0mself[0m[0;34m,[0m [0mfun[0m[0;34m,[0m [0;34m*[0m[0margs[0m[0;34m)[0m[0;34m:[0m[0;34m[0m[0;34m[0m[0m
- [0;32m---> 41[0;31m [0;32mreturn[0m [0mfun[0m[0;34m([0m[0mgetattr[0m[0;34m([0m[0mself[0m[0;34m,[0m [0mattrname[0m[0;34m)[0m[0;34m,[0m [0;34m*[0m[0margs[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
- [0m[1;32m 42[0m [0m_forward_to_value[0m [0;34m=[0m [0mpartial[0m[0;34m([0m[0m_forward_method[0m[0;34m,[0m [0;34m"_value"[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
- [1;32m 43[0m [0;34m[0m[0m
- [0;31mValueError[0m: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
- ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
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