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Fix/expose segments #121

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Fix/expose segments #121

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cba827c
Swap dimensions of empty stream arrays to match non-empty streams
jamieforth Nov 22, 2024
f86622e
Fix duplicate and spurious segments
jamieforth Nov 22, 2024
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13 changes: 6 additions & 7 deletions pyxdf/pyxdf.py
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Original file line number Diff line number Diff line change
Expand Up @@ -348,7 +348,7 @@ def load_xdf(
if stream.fmt == "string":
stream.time_series = []
else:
stream.time_series = np.zeros((stream.nchns, 0))
stream.time_series = np.zeros((0, stream.nchns))

# perform (fault-tolerant) clock synchronization if requested
if synchronize_clocks:
Expand All @@ -364,10 +364,6 @@ def load_xdf(
)

# perform jitter removal if requested
for tmp in temp.values():
# initialize segment list in case jitter_removal was not selected
tmp.segments = [(0, len(stream.time_series) - 1)] # inclusive

if dejitter_timestamps:
logger.info(" performing jitter removal...")
temp = _jitter_removal(
Expand All @@ -382,6 +378,10 @@ def load_xdf(
stream.effective_srate = len(stream.time_stamps) / duration
else:
stream.effective_srate = 0.0
# initialize segment list in case jitter_removal was not selected
stream.segments = []
if len(stream.time_stamps) > 0:
stream.segments.append((0, len(stream.time_series) - 1)) # inclusive

for k in streams.keys():
stream = streams[k]
Expand Down Expand Up @@ -629,6 +629,7 @@ def _jitter_removal(streams, threshold_seconds=1, threshold_samples=500):
for stream_id, stream in streams.items():
stream.effective_srate = 0 # will be recalculated if possible
nsamples = len(stream.time_stamps)
stream.segments = []
if nsamples > 0 and stream.srate > 0:
# Identify breaks in the time_stamps
diffs = np.diff(stream.time_stamps)
Expand Down Expand Up @@ -663,8 +664,6 @@ def _jitter_removal(streams, threshold_seconds=1, threshold_samples=500):
stream.time_stamps[seg_stops] + stream.tdiff
) - stream.time_stamps[seg_starts]
stream.effective_srate = np.sum(counts) / np.sum(durations)
else:
stream.segments = [0, nsamples - 1]

srate, effective_srate = stream.srate, stream.effective_srate
if srate != 0 and np.abs(srate - effective_srate) / srate > 0.1:
Expand Down