All hdf5 code on main thread. Using Python Queue() to buffer, and added handleQueue() method to Recording() that should be called occasionally
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@ -3,8 +3,14 @@
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"""
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Read data from stream and record sound and video at the same time
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"""
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import dataclasses, logging, os, time, h5py, threading
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import dataclasses
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import logging
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import os
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import time
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import h5py
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import threading
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import numpy as np
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from queue import Queue
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from .lasp_atomic import Atomic
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from .lasp_cpp import (LASP_VERSION_MAJOR, LASP_VERSION_MINOR, InDataHandler,
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@ -72,13 +78,14 @@ class Recording:
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self.curT_rounded_to_seconds = 0
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# Counter of the number of blocks
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self.ablockno = Atomic(0)
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self.ablockno = 0
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# Stop flag, set when recording is finished.
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self.stop = Atomic(False)
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# Mutex, on who is working with the H5py data
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self.file_mtx = threading.Lock()
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self.queue_mtx = threading.Lock()
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self.queue = Queue()
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self.progressCallback = progressCallback
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@ -105,12 +112,14 @@ class Recording:
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logging.debug("Starting record....")
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self.indh = InDataHandler(streammgr, self.inCallback, self.resetCallback)
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self.indh = InDataHandler(
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streammgr, self.inCallback, self.resetCallback)
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if wait:
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logging.debug("Stop recording with CTRL-C")
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try:
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while not self.stop():
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self.handleQueue()
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time.sleep(0.01)
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except KeyboardInterrupt:
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logging.debug("Keyboard interrupt on record")
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@ -120,39 +129,46 @@ class Recording:
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def resetCallback(self, daq):
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"""
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Function called with initial stream data.
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Important notes: we found that the h5py HDF5 library does not really
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work properly in a multi-threaded context. Therefore, this method
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SHOULD be called from the same thread, as the one that created self.f.
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Which for the current implementation of StreamMgr and friends is true.
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Args:
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daq: Daq device.
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"""
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with self.file_mtx:
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in_ch = daq.enabledInChannels()
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blocksize = daq.framesPerBlock()
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self.blocksize = blocksize
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self.nchannels = daq.neninchannels()
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self.fs = daq.samplerate()
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in_ch = daq.enabledInChannels()
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blocksize = daq.framesPerBlock()
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self.blocksize = blocksize
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self.nchannels = daq.neninchannels()
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self.fs = daq.samplerate()
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f = self.f
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f = self.f
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f.attrs["LASP_VERSION_MAJOR"] = LASP_VERSION_MAJOR
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f.attrs["LASP_VERSION_MINOR"] = LASP_VERSION_MINOR
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f.attrs["LASP_VERSION_MAJOR"] = LASP_VERSION_MAJOR
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f.attrs["LASP_VERSION_MINOR"] = LASP_VERSION_MINOR
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# Set the bunch of attributes
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f.attrs["samplerate"] = daq.samplerate()
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f.attrs["nchannels"] = daq.neninchannels()
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f.attrs["blocksize"] = blocksize
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f.attrs["sensitivity"] = [ch.sensitivity for ch in in_ch]
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f.attrs["channelNames"] = [ch.name for ch in in_ch]
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# Set the bunch of attributes
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f.attrs["samplerate"] = daq.samplerate()
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f.attrs["nchannels"] = daq.neninchannels()
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f.attrs["blocksize"] = blocksize
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f.attrs["sensitivity"] = [ch.sensitivity for ch in in_ch]
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f.attrs["channelNames"] = [ch.name for ch in in_ch]
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# Add the start delay here, as firstFrames() is called right after the
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# constructor is called. time.time() returns a floating point
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# number of seconds after epoch.
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f.attrs["time"] = time.time() + self.startDelay
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# Add the start delay here, as firstFrames() is called right after the
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# constructor is called. time.time() returns a floating point
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# number of seconds after epoch.
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f.attrs["time"] = time.time() + self.startDelay
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# In V2, we do not store JSON metadata anymore, but just an enumeration
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# index to a physical quantity.
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f.attrs["qtys_enum_idx"] = [ch.qty.value for ch in in_ch]
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# In V2, we do not store JSON metadata anymore, but just an enumeration
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# index to a physical quantity.
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f.attrs["qtys_enum_idx"] = [ch.qty.value for ch in in_ch]
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# Measured physical quantity metadata
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# This was how it was in LASP version < 1.0
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# f.attrs['qtys'] = [ch.qty.to_json() for ch in in_ch]
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f.flush()
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# Measured physical quantity metadata
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# This was how it was in LASP version < 1.0
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# f.attrs['qtys'] = [ch.qty.to_json() for ch in in_ch]
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f.flush()
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def firstFrames(self, adata):
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"""
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@ -183,6 +199,18 @@ class Recording:
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self.f.flush()
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def inCallback(self, adata):
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"""
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Called from different thread.
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"""
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if self.stop():
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return True
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with self.queue_mtx:
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self.queue.put(np.copy(adata))
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return True
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def handleQueue(self):
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"""
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This method is called when a block of audio data from the stream is
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available. It should return either True or False.
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@ -191,17 +219,18 @@ class Recording:
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"""
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if self.stop():
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logging.debug('Stop flag set, early return in inCallback')
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logging.debug('Stop flag set, early return in handleQueue')
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# Stop flag is raised. We do not add any data anymore.
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return True
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with self.file_mtx:
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with self.queue_mtx:
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while not self.queue.empty():
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adata = self.queue.get()
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if self.ad is None:
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self.firstFrames(adata)
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if self.ad is None:
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self.firstFrames(adata)
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self.__addTimeData(adata)
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return True
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self.__addTimeData(adata)
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def setDelete(self, val: bool):
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"""
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@ -209,8 +238,7 @@ class Recording:
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the recording. Typically used for cleaning up after canceling a
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recording.
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"""
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with self.file_mtx:
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self.deleteFile = val
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self.deleteFile = val
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def finish(self):
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"""
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@ -222,30 +250,29 @@ class Recording:
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self.stop <<= True
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with self.file_mtx:
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self.f.flush()
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# Remove indata handler, which also should remove callback function
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# from StreamMgr. This, however does not have to happen
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# instantaneously. For which we have to implement extra mutex
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# guards in this class
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del self.indh
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self.indh = None
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# Remove handle to dataset otherwise the h5 file is not closed
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# properly.
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del self.ad
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self.ad = None
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self.f.flush()
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# Remove indata handler, which also should remove callback function
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# from StreamMgr. This, however does not have to happen
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# instantaneously. For which we have to implement extra mutex
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# guards in this class
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del self.indh
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self.indh = None
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try:
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# Close the recording file
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self.f.close()
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del self.f
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except Exception as e:
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logging.error(f"Error closing file: {e}")
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# Remove handle to dataset otherwise the h5 file is not closed
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# properly.
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del self.ad
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self.ad = None
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logging.debug("Recording ended")
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if self.deleteFile:
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self.__deleteFile()
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try:
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# Close the recording file
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self.f.close()
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del self.f
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except Exception as e:
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logging.error(f"Error closing file: {e}")
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logging.debug("Recording ended")
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if self.deleteFile:
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self.__deleteFile()
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def __deleteFile(self):
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"""
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@ -262,7 +289,7 @@ class Recording:
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"""
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# logging.debug('Recording::__addTimeData()')
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curT = self.ablockno() * self.blocksize / self.fs
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curT = self.ablockno * self.blocksize / self.fs
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# Increase the block counter
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self.ablockno += 1
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@ -275,10 +302,10 @@ class Recording:
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self.startDelay_passed = True
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# Reset the audio block counter and the recording time
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self.ablockno = Atomic(1)
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self.ablockno = 1
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curT = 0
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ablockno = self.ablockno()
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ablockno = self.ablockno
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recstatus = RecordStatus(curT=curT, done=False)
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if self.progressCallback is not None:
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