NickSale

224d239
< ##vso[task.logissue type=error;]2 test(s) failed, 415 test(s) collected.
228,353d242
< ================================== FAILURES ===================================
< ______________________ test_large_pi_null_multithreaded _______________________
< joblib.externals.loky.process_executor._RemoteTraceback: 
< """
< Traceback (most recent call last):
<   File "C:\Users\nicho\Anaconda3\lib\site-packages\joblib\externals\loky\process_executor.py", line 418, in _process_worker
<     r = call_item()

NickSale

---------------------------------------------------------------------------
_RemoteTraceback                          Traceback (most recent call last)
_RemoteTraceback: 
"""
Traceback (most recent call last):
  File "C:\Users\nicho\Anaconda3\lib\site-packages\joblib\externals\loky\process_executor.py", line 418, in _process_worker
    r = call_item()
  File "C:\Users\nicho\Anaconda3\lib\site-packages\joblib\externals\loky\process_executor.py", line 272, in __call__
    return self.fn(*self.args, **self.kwargs)
  File "C:\Users\nicho\Anaconda3\lib\site-packages\joblib\_parallel_backends.py", line 567, in __call__

NickSale

---------------------------------------------------------------------------
_RemoteTraceback                          Traceback (most recent call last)
_RemoteTraceback: 
"""
Traceback (most recent call last):
  File "C:\Users\nicho\Anaconda3\lib\site-packages\joblib\externals\loky\process_executor.py", line 418, in _process_worker
    r = call_item()
  File "C:\Users\nicho\Anaconda3\lib\site-packages\joblib\externals\loky\process_executor.py", line 272, in __call__
    return self.fn(*self.args, **self.kwargs)
  File "C:\Users\nicho\Anaconda3\lib\site-packages\joblib\_parallel_backends.py", line 567, in __call__

NickSale

import numpy as np
from gtda.diagrams import PersistenceImage

X = np.linspace(0, 10, 70000)
n_bins = 10
diagrams = np.expand_dims(np.stack([X, X,
                                    np.zeros((X.shape[0],),
                                             dtype=int)]).transpose(),
                          axis=0)
diagrams = np.repeat(diagrams, 2, axis=0)

NickSale

import numpy as np
from gtda.diagrams import HeatKernel

X = np.linspace(0, 100, 300000)
n_bins = 10
diagrams = np.expand_dims(np.stack([X, X,
                                    np.zeros((X.shape[0],),
                                             dtype=int)]).transpose(),
                          axis=0)
hk = HeatKernel(sigma=1, n_bins=n_bins, n_jobs=2)