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print statement to assess bootstrap speed

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This commit is contained in:
Till Raab 2023-05-26 10:30:35 +02:00
parent 11c015b1c2
commit b80a2c8de9
1 changed files with 4 additions and 0 deletions
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event_time_analysis.py
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@ -1,6 +1,8 @@
import os import os
import sys import sys
import argparse import argparse
import time
import numpy as np import numpy as np
try: try:
import cupy as cp import cupy as cp
@ -116,6 +118,7 @@ def permulation_kde(event_dt, repetitions = 2000, max_dt = 60, max_mem_use_GB =
embed() embed()
quit() quit()
t0 = time.time()
kernal_w = 1 kernal_w = 1
kernal_h = 0.2 kernal_h = 0.2
@ -152,6 +155,7 @@ def permulation_kde(event_dt, repetitions = 2000, max_dt = 60, max_mem_use_GB =
chunk_boot_KDE = chunk_permutation(select_event_dt, conv_tt, repetitions % chunk_size, max_jitter, kernal_w, kernal_h) chunk_boot_KDE = chunk_permutation(select_event_dt, conv_tt, repetitions % chunk_size, max_jitter, kernal_w, kernal_h)
chunk_collector.extend(chunk_boot_KDE) chunk_collector.extend(chunk_boot_KDE)
print(f'bootstrap with {repetitions:.0f} repetitions took {time.time() - t0:.2f}s.')