Updated exporting to wav file, NEEDS more testing. Added progress function to signal generator, which returns None by default
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683c0b6566
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@ -58,13 +58,30 @@ class AvStream:
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self.input_sensitivity += daqconfig.getEnabledInputChannelSensitivities()
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self.input_sensitivity += daqconfig.getEnabledInputChannelSensitivities()
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self.input_sensitivity = np.asarray(self.input_sensitivity)
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self.input_sensitivity = np.asarray(self.input_sensitivity)
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# Fill in numpy data type, and sample width
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self.input_numpy_dtype = get_numpy_dtype_from_format_string(
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daqconfig.en_input_sample_format)
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self.input_sampwidth = get_sampwidth_from_format_string(
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daqconfig.en_input_sample_format)
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self.input_channel_names += [
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self.input_channel_names += [
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ch.channel_name for ch in daqconfig.getEnabledInputChannels()]
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ch.channel_name for ch in daqconfig.getEnabledInputChannels()]
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self.input_samplerate = float(daqconfig.en_input_rate)
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self.input_samplerate = float(daqconfig.en_input_rate)
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if self.duplex_mode:
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self.output_samplerate = float(daqconfig.en_input_rate)
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self.output_sampwidth = self.input_sampwidth
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self.output_numpy_dtype = self.input_numpy_dtype
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else:
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self.output_samplerate = float(daqconfig.en_output_rate)
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self.output_samplerate = float(daqconfig.en_output_rate)
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self.output_sampwidth = get_sampwidth_from_format_string(
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daqconfig.en_output_sample_format)
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self.output_numpy_dtype = get_numpy_dtype_from_format_string(
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daqconfig.en_output_sample_format)
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# Counters for the number of frames that have been coming in
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# Counters for the number of frames that have been coming in
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self._aframectr = Atomic(0)
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self._aframectr = Atomic(0)
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self._vframectr = Atomic(0)
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self._vframectr = Atomic(0)
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@ -90,16 +107,6 @@ class AvStream:
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self._rtaudio = RtAudio(daqconfig.api)
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self._rtaudio = RtAudio(daqconfig.api)
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self.blocksize = self._rtaudio.openStream(self)
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self.blocksize = self._rtaudio.openStream(self)
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# Fill in numpy data type, and sample width
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self.input_numpy_dtype = get_numpy_dtype_from_format_string(
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daqconfig.en_input_sample_format)
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self.output_numpy_dtype = get_numpy_dtype_from_format_string(
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daqconfig.en_output_sample_format)
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self.input_sampwidth = get_sampwidth_from_format_string(
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daqconfig.en_input_sample_format)
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self.output_sampwidth = get_sampwidth_from_format_string(
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daqconfig.en_output_sample_format)
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def close(self):
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def close(self):
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self._rtaudio.closeStream()
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self._rtaudio.closeStream()
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@ -233,13 +233,14 @@ class TimeWeighting:
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slow = (1.0, 'Slow (1.0 s)')
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slow = (1.0, 'Slow (1.0 s)')
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tens = (10., '10 s')
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tens = (10., '10 s')
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infinite = (0, 'Infinite')
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infinite = (0, 'Infinite')
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types = (none, uufast, ufast, fast, slow, tens)
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types_realtime = (ufast, fast, slow, tens, infinite)
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types_all = (none, uufast, ufast, fast, slow, tens, infinite)
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types_all = (none, uufast, ufast, fast, slow, tens, infinite)
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default = fast
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default = fast
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default_index = 3
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default_index = 3
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default_index_realtime = 1
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@staticmethod
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@staticmethod
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def fillComboBox(cb, all_=False):
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def fillComboBox(cb, realtime=False):
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"""
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"""
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Fill TimeWeightings to a combobox
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Fill TimeWeightings to a combobox
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@ -247,16 +248,22 @@ class TimeWeighting:
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cb: QComboBox to fill
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cb: QComboBox to fill
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"""
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"""
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cb.clear()
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cb.clear()
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if all_:
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if realtime:
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types = TimeWeighting.types_all
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types = TimeWeighting.types_realtime
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defindex = TimeWeighting.default_index_realtime
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else:
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else:
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types = TimeWeighting.types
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types = TimeWeighting.types_all
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defindex = TimeWeighting.default_index
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for tw in types:
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for tw in types:
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cb.addItem(tw[1], tw)
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cb.addItem(tw[1], tw)
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cb.setCurrentIndex(TimeWeighting.default_index)
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cb.setCurrentIndex(defindex)
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@staticmethod
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@staticmethod
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def getCurrent(cb):
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def getCurrent(cb):
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if cb.count() == len(TimeWeighting.types_realtime):
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return TimeWeighting.types_realtime[cb.currentIndex()]
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else:
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return TimeWeighting.types_all[cb.currentIndex()]
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return TimeWeighting.types_all[cb.currentIndex()]
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@ -54,7 +54,7 @@ class BlockIter:
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"""Initialize a BlockIter object.
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"""Initialize a BlockIter object.
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Args:
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Args:
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faudio: Audio dataset in the h5 file, accessed as f['audio']
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f: Audio dataset in the h5 file, accessed as f['audio']
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"""
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"""
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self.i = 0
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self.i = 0
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self.nblocks = f['audio'].shape[0]
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self.nblocks = f['audio'].shape[0]
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@ -98,6 +98,7 @@ def scaleBlockSens(block, sens):
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sensitivity: array of sensitivity coeficients for
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sensitivity: array of sensitivity coeficients for
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each channel
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each channel
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"""
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"""
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sens = np.asarray(sens)
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assert sens.ndim == 1
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assert sens.ndim == 1
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assert sens.size == block.shape[1]
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assert sens.size == block.shape[1]
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if np.issubdtype(block.dtype.type, np.integer):
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if np.issubdtype(block.dtype.type, np.integer):
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@ -150,6 +151,7 @@ class Measurement:
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self.nblocks, self.blocksize, self.nchannels = f['audio'].shape
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self.nblocks, self.blocksize, self.nchannels = f['audio'].shape
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dtype = f['audio'].dtype
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dtype = f['audio'].dtype
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self.dtype = dtype
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self.sampwidth = getSampWidth(dtype)
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self.sampwidth = getSampWidth(dtype)
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self.samplerate = f.attrs['samplerate']
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self.samplerate = f.attrs['samplerate']
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@ -267,20 +269,44 @@ class Measurement:
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self._prms = np.sqrt(pms)
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self._prms = np.sqrt(pms)
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return self._prms
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return self._prms
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def praw(self, block=None):
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def rawData(self, block=None, channel=None):
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"""Returns the uncalibrated acoustic pressure signal, converted to
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"""Returns the raw signal, without any transformations applied
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floating point acoustic pressure values [Pa]."""
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args:
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block: If specified a certain block is returned
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"""
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if block is not None:
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if block is not None:
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with self.file() as f:
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with self.file() as f:
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if channel is not None:
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blocks = f['audio'][block][:, [channel]]
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else:
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blocks = f['audio'][block]
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blocks = f['audio'][block]
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else:
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else:
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blocks = []
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blocks = []
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with self.file() as f:
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with self.file() as f:
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for block in self.iterBlocks(f):
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for block in self.iterBlocks(f):
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if channel is not None:
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blocks.append(block[:, [channel]])
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else:
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blocks.append(block)
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blocks.append(block)
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blocks = np.asarray(blocks)
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blocks = np.asarray(blocks)
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blocks = blocks.reshape(self.nblocks * self.blocksize,
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self.nchannels)
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if channel is None:
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blocks = blocks.reshape((self.nblocks * self.blocksize,
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self.nchannels))
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else:
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blocks = blocks.reshape((self.nblocks * self.blocksize,
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1))
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return blocks
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def praw(self, block=None):
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"""Returns the uncalibrated acoustic pressure signal, but the
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sensitivity is applied, converted to floating point acoustic
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pressure values [Pa]."""
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blocks = self.rawData(block)
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# Apply scaling (sensitivity, integer -> float)
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# Apply scaling (sensitivity, integer -> float)
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blocks = self.scaleBlock(blocks)
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blocks = self.scaleBlock(blocks)
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@ -345,9 +371,10 @@ class Measurement:
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f.attrs['sensitivity'] = sens
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f.attrs['sensitivity'] = sens
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self._sens = sens
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self._sens = sens
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def exportAsWave(self, fn=None, force=False, newsampwidth=2, normalize=True):
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def exportAsWave(self, fn=None, force=False, newsampwidth=None, normalize=True):
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"""Export measurement file as wave. In case the measurement data is
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"""Export measurement file as wave. In case the measurement data is
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stored as floats, the values are scaled between 0 and 1.
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stored as floats, the values are scaled to the proper integer (PCM)
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data format.
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Args:
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Args:
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fn: If given, this will be the filename to write to. If the
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fn: If given, this will be the filename to write to. If the
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@ -366,26 +393,21 @@ class Measurement:
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fn = self.fn
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fn = self.fn
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fn = os.path.splitext(fn)[0]
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fn = os.path.splitext(fn)[0]
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if '.wav' not in fn[-4:]:
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if os.path.splitext(fn)[1] != '.wav':
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fn += '.wav'
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fn += '.wav'
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if os.path.exists(fn) and not force:
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if os.path.exists(fn) and not force:
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raise RuntimeError(f'File already exists: {fn}')
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raise RuntimeError(f'File already exists: {fn}')
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with self.file() as f:
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data = self.rawData()
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audio = f['audio']
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oldsampwidth = getSampWidth(audio.dtype)
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max_ = 1.
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if normalize:
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if normalize:
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# Find maximum value
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maxabs = np.max(np.abs(data), axis=0)
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for block in self.iterBlocks(f):
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data /= maxabs[np.newaxis, :]
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blockmax = np.max(np.abs(block))
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max_ = blockmax if blockmax > max_ else max_
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if newsampwidth is not None:
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# Scale with maximum value only if we have a nonzero maximum value.
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# Convert to floats, then to new sample width
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if max_ == 0.:
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data = scaleBlockSens(data, self.sensitivity**0)
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max_ = 1.
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if newsampwidth == 2:
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if newsampwidth == 2:
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newtype = np.int16
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newtype = np.int16
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@ -394,17 +416,12 @@ class Measurement:
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else:
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else:
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raise ValueError('Invalid sample width, should be 2 or 4')
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raise ValueError('Invalid sample width, should be 2 or 4')
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scalefac = 2**(8*(newsampwidth-oldsampwidth))
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scalefac = 2**(8*(newsampwidth-1))-1
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if normalize or isinstance(audio.dtype, float):
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scalefac *= .01*max
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data = (data*scalefac).astype(newtype)
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wavfile.write(fn, self.samplerate, data)
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with wave.open(fn, 'w') as wf:
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wf.setparams((self.nchannels, self.sampwidth,
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self.samplerate, 0, 'NONE', 'NONE'))
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for block in self.iterBlocks(f):
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# Convert block to integral data type
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block = (block*scalefac).astype(newtype)
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wf.writeframes(np.asfortranarray(block).tobytes())
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@staticmethod
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@staticmethod
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def fromtxt(fn,
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def fromtxt(fn,
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@ -673,6 +673,13 @@ cdef class Siggen:
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return output
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return output
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def progress(self):
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"""
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TODO: Should be implemented to return the current position in the
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generator.
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"""
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return None
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@staticmethod
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@staticmethod
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def sineWave(d fs,d freq,d level_dB):
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def sineWave(d fs,d freq,d level_dB):
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