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authorMatthias P. Braendli <matthias.braendli@mpb.li>2017-12-29 06:43:49 +0100
committerMatthias P. Braendli <matthias.braendli@mpb.li>2017-12-29 06:43:58 +0100
commita62e05c9564045044df734fd3723b3f665ad91ae (patch)
tree5a9e1570362fe9a47fe581c292f3bd84f6fd3e82 /dpd/src/subsample_align.py
parentbf53849fba5796d1b98254a7eeab575a50ae7996 (diff)
downloaddabmod-a62e05c9564045044df734fd3723b3f665ad91ae.tar.gz
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DPD: Make logging to file optional in all modules, simplify apply_adapt_dumps
Diffstat (limited to 'dpd/src/subsample_align.py')
-rwxr-xr-xdpd/src/subsample_align.py8
1 files changed, 5 insertions, 3 deletions
diff --git a/dpd/src/subsample_align.py b/dpd/src/subsample_align.py
index 68f3591..a5e9f8c 100755
--- a/dpd/src/subsample_align.py
+++ b/dpd/src/subsample_align.py
@@ -7,8 +7,10 @@
import datetime
import logging
import os
-
-logging_path = os.path.dirname(logging.getLoggerClass().root.handlers[0].baseFilename)
+try:
+ logging_path = os.path.dirname(logging.getLoggerClass().root.handlers[0].baseFilename)
+except AttributeError:
+ logging_path = None
import numpy as np
from scipy import optimize
@@ -72,7 +74,7 @@ def subsample_align(sig, ref_sig, plot=False):
if optim_result.success:
best_tau = optim_result.x
- if plot:
+ if plot and logging_path is not None:
corr = np.vectorize(correlate_for_delay)
ixs = np.linspace(-1, 1, 100)
taus = corr(ixs)