[~] Refactor
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				| @ -1782,6 +1782,20 @@ def kernel_30(o_29, ids=None, delay=None,): | |||||||
|             numpy.where(t8)[0], |             numpy.where(t8)[0], | ||||||
|             min(70, len(t8)), |             min(70, len(t8)), | ||||||
|         ) |         ) | ||||||
|  |     elif ids == 'v3': | ||||||
|  |         t8 = numpy.stack( | ||||||
|  |             [ | ||||||
|  |                 o_29['t5'].portion > 0.1, | ||||||
|  |                 o_29['t5'].mean_conf > 0.6, | ||||||
|  |                 o_29['t5']['t10'].data, | ||||||
|  |             ], | ||||||
|  |             axis=0 | ||||||
|  |         ).prod(axis=0) | ||||||
|  |         pprint.pprint([t8.sum(), t8.mean()]) | ||||||
|  |         ids = numpy.random.choice( | ||||||
|  |             numpy.where(t8)[0], | ||||||
|  |             min(70, len(t8)), | ||||||
|  |         ) | ||||||
|     else: |     else: | ||||||
|         assert isinstance(ids, numpy.ndarray) |         assert isinstance(ids, numpy.ndarray) | ||||||
| 
 | 
 | ||||||
|  | |||||||
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	 Siarhei Siniak
						Siarhei Siniak