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Author SHA1 Message Date
a38eca47f3 Modified directory structure to have al uldaq-files in the subfolder uldaq
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2024-09-26 11:31:32 +02:00
509f165ecb Merged in remote
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2024-07-03 11:58:18 +02:00
67bd7e6c9d Updated linspaces to use LASP_NUMPY_FLOAT_TYPE. 2024-07-03 11:56:40 +02:00
047269df78 empty() --> np.empty()
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2024-07-01 16:19:22 +02:00
13 changed files with 60 additions and 44 deletions

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@ -10,10 +10,6 @@ add_library(lasp_device_lib OBJECT
lasp_rtaudiodaq.cpp lasp_rtaudiodaq.cpp
lasp_streammgr.cpp lasp_streammgr.cpp
lasp_indatahandler.cpp lasp_indatahandler.cpp
lasp_uldaq.cpp
uldaq/lasp_uldaq_impl.cpp
uldaq/lasp_uldaq_bufhandler.cpp
uldaq/lasp_uldaq_common.cpp
portaudio/lasp_portaudiodaq.cpp portaudio/lasp_portaudiodaq.cpp
) )
@ -28,7 +24,9 @@ target_include_directories(lasp_device_lib INTERFACE
${CMAKE_CURRENT_SOURCE_DIR}) ${CMAKE_CURRENT_SOURCE_DIR})
if(LASP_HAS_ULDAQ) if(LASP_HAS_ULDAQ)
target_link_libraries(lasp_device_lib uldaq) add_subdirectory(uldaq)
target_include_directories(lasp_device_lib INTERFACE uldaq)
target_link_libraries(lasp_device_lib uldaq_backend uldaq)
endif() endif()
if(LASP_HAS_RTAUDIO) if(LASP_HAS_RTAUDIO)
target_link_libraries(lasp_device_lib rtaudio) target_link_libraries(lasp_device_lib rtaudio)

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@ -0,0 +1,6 @@
add_library(uldaq_backend lasp_uldaq.cpp lasp_uldaq_bufhandler.cpp lasp_uldaq_common.cpp lasp_uldaq_impl.cpp)
target_include_directories(uldaq_backend PUBLIC ../)
target_include_directories(uldaq_backend PUBLIC ../../)
target_include_directories(uldaq_backend PUBLIC ../../dsp)
target_include_directories(uldaq_backend INTERFACE ${CMAKE_CURRENT_SOURCE_DIR})

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@ -3,8 +3,8 @@
#include "lasp_config.h" #include "lasp_config.h"
#if LASP_HAS_ULDAQ == 1 #if LASP_HAS_ULDAQ == 1
#include "lasp_uldaq_common.h"
#include "lasp_daq.h" #include "lasp_daq.h"
#include "lasp_uldaq_common.h"
string getErrMsg(UlError err) { string getErrMsg(UlError err) {
string errstr; string errstr;
@ -21,11 +21,9 @@ void showErr(string errstr) {
std::cerr << "***********************************************\n\n"; std::cerr << "***********************************************\n\n";
} }
void showErr(UlError err) { void showErr(UlError err) {
if (err != ERR_NO_ERROR) if (err != ERR_NO_ERROR) showErr(getErrMsg(err));
showErr(getErrMsg(err));
} }
void throwOnPossibleUlException(UlError err) { void throwOnPossibleUlException(UlError err) {
if (err == ERR_NO_ERROR) { if (err == ERR_NO_ERROR) {
return; return;

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@ -10,11 +10,11 @@ from .lasp_cpp import *
# from .lasp_imptube import * # TwoMicImpedanceTube # from .lasp_imptube import * # TwoMicImpedanceTube
from .lasp_measurement import * # Measurement, scaleBlockSens from .lasp_measurement import * # Measurement, scaleBlockSens
from .lasp_octavefilter import * # OverallFilterBank, SosOctaveFilterBank, SosThirdOctaveFilterBank from .lasp_octavefilter import *
from .lasp_slm import * # SLM, Dummy from .lasp_slm import * # SLM, Dummy
from .lasp_record import * # RecordStatus, Recording from .lasp_record import * # RecordStatus, Recording
from .lasp_daqconfigs import * # DaqConfigurations from .lasp_daqconfigs import *
from .lasp_measurementset import * # MeasurementSet from .lasp_measurementset import *
# from .lasp_siggen import * # SignalType, NoiseType, SiggenMessage, SiggenData, Siggen # from .lasp_siggen import * # SignalType, NoiseType, SiggenMessage, SiggenData, Siggen
# from .lasp_weighcal import * # WeighCal # from .lasp_weighcal import * # WeighCal

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@ -15,6 +15,7 @@ import warnings
import numpy as np import numpy as np
# For designing second-order sections # For designing second-order sections
from scipy.signal import butter from scipy.signal import butter
from ..lasp_config import LASP_NUMPY_FLOAT_TYPE
from .fir_design import bandpass_fir_design from .fir_design import bandpass_fir_design
from .fir_design import freqResponse as firFreqResponse from .fir_design import freqResponse as firFreqResponse
@ -254,9 +255,9 @@ class FilterBankDesigner:
fuu = self.fu(xu) fuu = self.fu(xu)
if scale == 'lin': if scale == 'lin':
freq = np.linspace(fll, fuu, npoints) freq = np.linspace(fll, fuu, npoints, dtype=LASP_NUMPY_FLOAT_TYPE)
elif scale == 'log': elif scale == 'log':
freq = np.logspace(np.log10(fll), np.log10(fuu), npoints) freq = np.logspace(np.log10(fll), np.log10(fuu), npoints, dtype=LASP_NUMPY_FLOAT_TYPE)
else: else:
raise ValueError(f'Invalid scale parameter: {scale}') raise ValueError(f'Invalid scale parameter: {scale}')

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@ -7,6 +7,7 @@ from dataclasses import dataclass
from dataclasses_json import dataclass_json from dataclasses_json import dataclass_json
from enum import Enum, unique, auto from enum import Enum, unique, auto
from .lasp_cpp import DaqChannel from .lasp_cpp import DaqChannel
from .lasp_config import LASP_NUMPY_FLOAT_TYPE
""" """
Common definitions used throughout the code. Common definitions used throughout the code.
@ -395,7 +396,9 @@ def getTime(fs, N, start=0):
start: Optional start ofset in number of samples start: Optional start ofset in number of samples
""" """
assert N > 0 and fs > 0 assert N > 0 and fs > 0
return np.linspace(start, start + N/fs, N, endpoint=False) return np.linspace(
start, start + N / fs, N, endpoint=False, dtype=LASP_NUMPY_FLOAT_TYPE
)
def getFreq(fs, nfft): def getFreq(fs, nfft):
@ -408,4 +411,4 @@ def getFreq(fs, nfft):
""" """
df = fs / nfft # frequency resolution df = fs / nfft # frequency resolution
K = nfft // 2 + 1 # number of frequency bins K = nfft // 2 + 1 # number of frequency bins
return np.linspace(0, (K-1)*df, K) return np.linspace(0, (K - 1) * df, K, dtype=LASP_NUMPY_FLOAT_TYPE)

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@ -5,9 +5,12 @@ Author: J.A. de Jong - ASCEE
Description: LASP configuration Description: LASP configuration
""" """
import numpy as np import numpy as np
from .lasp_cpp import LASP_DOUBLE_PRECISION from .lasp_cpp import LASP_DOUBLE_PRECISION
__all__ = ["zeros", "ones", "empty", "LASP_NUMPY_FLOAT_TYPE", "LASP_NUMPY_COMPLEX_TYPE"]
if LASP_DOUBLE_PRECISION: if LASP_DOUBLE_PRECISION:
LASP_NUMPY_FLOAT_TYPE = np.float64 LASP_NUMPY_FLOAT_TYPE = np.float64
LASP_NUMPY_COMPLEX_TYPE = np.complex128 LASP_NUMPY_COMPLEX_TYPE = np.complex128
@ -16,28 +19,28 @@ else:
LASP_NUMPY_COMPLEX_TYPE = np.float64 LASP_NUMPY_COMPLEX_TYPE = np.float64
def zeros(shape, dtype=float, order='F'): def zeros(shape, dtype=float, order="F"):
if dtype == float: if dtype is float:
return np.zeros(shape, dtype=LASP_NUMPY_FLOAT_TYPE, order=order) return np.zeros(shape, dtype=LASP_NUMPY_FLOAT_TYPE, order=order)
elif dtype == complex: elif dtype is complex:
return np.zeros(shape, dtype=LASP_NUMPY_COMPLEX_TYPE, order=order) return np.zeros(shape, dtype=LASP_NUMPY_COMPLEX_TYPE, order=order)
else: else:
raise RuntimeError(f"Unknown dtype: {dtype}") raise RuntimeError(f"Unknown dtype: {dtype}")
def ones(shape, dtype=float, order='F'): def ones(shape, dtype=float, order="F"):
if dtype == float: if dtype is float:
return np.ones(shape, dtype=LASP_NUMPY_FLOAT_TYPE, order=order) return np.ones(shape, dtype=LASP_NUMPY_FLOAT_TYPE, order=order)
elif dtype == complex: elif dtype is complex:
return np.ones(shape, dtype=LASP_NUMPY_COMPLEX_TYPE, order=order) return np.ones(shape, dtype=LASP_NUMPY_COMPLEX_TYPE, order=order)
else: else:
raise RuntimeError(f"Unknown dtype: {dtype}") raise RuntimeError(f"Unknown dtype: {dtype}")
def empty(shape, dtype=float, order='F'):
if dtype == float: def empty(shape, dtype=float, order="F"):
if dtype is float:
return np.empty(shape, dtype=LASP_NUMPY_FLOAT_TYPE, order=order) return np.empty(shape, dtype=LASP_NUMPY_FLOAT_TYPE, order=order)
elif dtype == complex: elif dtype is complex:
return np.empty(shape, dtype=LASP_NUMPY_COMPLEX_TYPE, order=order) return np.empty(shape, dtype=LASP_NUMPY_COMPLEX_TYPE, order=order)
else: else:
raise RuntimeError(f"Unknown dtype: {dtype}") raise RuntimeError(f"Unknown dtype: {dtype}")

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@ -1156,8 +1156,11 @@ class Measurement:
if data.ndim != 2: if data.ndim != 2:
data = data[:, np.newaxis] data = data[:, np.newaxis]
if not (isinstance(sensitivity, np.ndarray) and sensitivity.ndim >= 1): try:
sensitivity = np.asarray(sensitivity)[np.newaxis] len(sensitivity)
except:
raise ValueError("Sensitivity should be given as array-like data type")
sensitivity = np.asarray(sensitivity)
nchannels = data.shape[1] nchannels = data.shape[1]
if nchannels != sensitivity.shape[0]: if nchannels != sensitivity.shape[0]:

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@ -11,6 +11,7 @@ __all__ = ["OverallFilterBank", "SosOctaveFilterBank", "SosThirdOctaveFilterBank
from .filter.filterbank_design import OctaveBankDesigner, ThirdOctaveBankDesigner from .filter.filterbank_design import OctaveBankDesigner, ThirdOctaveBankDesigner
from .lasp_cpp import BiquadBank from .lasp_cpp import BiquadBank
from .lasp_config import empty, LASP_NUMPY_FLOAT_TYPE
import numpy as np import numpy as np
@ -46,7 +47,7 @@ class OverallFilterBank:
Ncur = data.shape[0] Ncur = data.shape[0]
tend = tstart + Ncur / self.fs tend = tstart + Ncur / self.fs
t = np.linspace(tstart, tend, Ncur, endpoint=False) t = np.linspace(tstart, tend, Ncur, endpoint=False, dtype=LASP_NUMPY_FLOAT_TYPE)
self.N += Ncur self.N += Ncur
output["Overall"] = {"t": t, "data": data, "x": 0} output["Overall"] = {"t": t, "data": data, "x": 0}
@ -114,7 +115,7 @@ class SosFilterBank:
Ncur = data.shape[0] Ncur = data.shape[0]
tend = tstart + Ncur / self.fs tend = tstart + Ncur / self.fs
t = np.linspace(tstart, tend, Ncur, endpoint=False) t = np.linspace(tstart, tend, Ncur, endpoint=False, dtype=LASP_NUMPY_FLOAT_TYPE)
self.N += Ncur self.N += Ncur
for i, x in enumerate(self.xs): for i, x in enumerate(self.xs):

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@ -4,14 +4,15 @@
Sound level meter implementation Sound level meter implementation
@author: J.A. de Jong - ASCEE @author: J.A. de Jong - ASCEE
""" """
from .lasp_cpp import cppSLM from .lasp_cpp import cppSLM
from .lasp_config import empty from .lasp_config import empty, LASP_NUMPY_FLOAT_TYPE
import numpy as np import numpy as np
from .lasp_common import (TimeWeighting, FreqWeighting, P_REF) from .lasp_common import TimeWeighting, FreqWeighting, P_REF
from .filter import SPLFilterDesigner from .filter import SPLFilterDesigner
import logging import logging
__all__ = ['SLM', 'Dummy'] __all__ = ["SLM", "Dummy"]
class Dummy: class Dummy:
@ -89,7 +90,7 @@ class SLM:
elif fw == FreqWeighting.Z: elif fw == FreqWeighting.Z:
prefilter = None prefilter = None
else: else:
raise ValueError(f'Not implemented prefilter {fw}') raise ValueError(f"Not implemented prefilter {fw}")
# 'Probe' size of filter coefficients # 'Probe' size of filter coefficients
self.nom_txt = [] self.nom_txt = []
@ -102,7 +103,7 @@ class SLM:
assert fbdesigner.fs == fs assert fbdesigner.fs == fs
sos_firstx = fbdesigner.createSOSFilter(self.xs[0]).flatten() sos_firstx = fbdesigner.createSOSFilter(self.xs[0]).flatten()
self.nom_txt.append(fbdesigner.nominal_txt(self.xs[0])) self.nom_txt.append(fbdesigner.nominal_txt(self.xs[0]))
sos = empty((sos_firstx.size, nfilters), dtype=float, order='C') sos = empty((sos_firstx.size, nfilters), dtype=float, order="C")
sos[:, 0] = sos_firstx sos[:, 0] = sos_firstx
for i, x in enumerate(self.xs[1:]): for i, x in enumerate(self.xs[1:]):

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@ -7,6 +7,7 @@ Weighting and calibration filter in one
from .lasp_common import FreqWeighting from .lasp_common import FreqWeighting
from .filter import SPLFilterDesigner from .filter import SPLFilterDesigner
from lasp.lasp_config import ones, empty from lasp.lasp_config import ones, empty
from ..lasp_config import LASP_NUMPY_FLOAT_TYPE
from .wrappers import FilterBank from .wrappers import FilterBank
import numpy as np import numpy as np
@ -39,7 +40,7 @@ class WeighCal:
self.calfile = calfile self.calfile = calfile
# Frequencies used for the filter design # Frequencies used for the filter design
freq_design = np.linspace(0, 17e3, 3000) freq_design = np.linspace(0, 17e3, 3000, dtype=LASP_NUMPY_FLOAT_TYPE)
freq_design[-1] = fs/2 freq_design[-1] = fs/2
# Objective function for the frequency response # Objective function for the frequency response
@ -140,6 +141,7 @@ class WeighCal:
""" """
Returns the frequency response of the designed FIR filter Returns the frequency response of the designed FIR filter
""" """
raise RuntimeError('This code bugs. TODO: Re-implement?')
if freq is None: if freq is None:
freq = np.logspace(1, np.log10(self.fs/2), 500) freq = np.logspace(1, np.log10(self.fs/2), 500)
return (freq, frp(self.fs, freq, self._firs[chan]), return (freq, frp(self.fs, freq, self._firs[chan]),