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Disable serialization scaffolding and pickle test
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pavlis committed Jan 9, 2025
1 parent 59f0168 commit e787042
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Showing 3 changed files with 34 additions and 34 deletions.
20 changes: 10 additions & 10 deletions cxx/include/mspass/algorithms/deconvolution/CNRDeconEngine.h
Original file line number Diff line number Diff line change
Expand Up @@ -153,39 +153,39 @@ class CNRDeconEngine : public FFTDeconOperator
template<class Archive>
void serialize(Archive& ar, const unsigned int version)
{
std::cout <<"Entered serialize function"<<std::endl;
//std::cout <<"Entered serialize function"<<std::endl;
ar & boost::serialization::base_object<FFTDeconOperator>(*this);
std::cout << "Serializing first group of simple parameters"<<std::endl;
//std::cout << "Serializing first group of simple parameters"<<std::endl;
ar & algorithm;
ar & damp;
ar & noise_floor;
ar & band_snr_floor;
ar & operator_dt;
ar & shaping_wavelet_number_poles;
std::cout << "Serializing shapingwavelet"<<std::endl;
//std::cout << "Serializing shapingwavelet"<<std::endl;
ar & shapingwavelet;
ar & winlength;
std::cout<<"Serializing power spectrum engine objects"<<std::endl;
//std::cout<<"Serializing power spectrum engine objects"<<std::endl;
ar & signal_engine;
ar & noise_engine;
ar & snr_regularization_floor;
std::cout << "Serializin winv vector"<<std::endl;
//std::cout << "Serializin winv vector"<<std::endl;
ar & winv;
ar & winv_t0_lag;
std::cout<<"Serializing final block of parameters"<<std::endl;
//std::cout<<"Serializing final block of parameters"<<std::endl;
ar & regularization_bandwidth_fraction;
/* These fixed length arrays caused probems - seg faults.
* Apparently boost doesn't handle that corectly. There may
* be a more concise way to do this but this should always work. */
std::cout << "Entering block for 3 component arrays"<<std::endl;
//std::cout << "Entering block for 3 component arrays"<<std::endl;
for(auto k=0;k<3;++k)
{
std::cout << "k="<<k<<std::endl;
//std::cout << "k="<<k<<std::endl;
ar & peak_snr[k];
std::cout << "bandwidth_fraction"<<std::endl;
//std::cout << "bandwidth_fraction"<<std::endl;
ar & signal_bandwidth_fraction[k];
}
std::cout << "Exiting serialize function"<<std::endl;
//std::cout << "Exiting serialize function"<<std::endl;
}
};
} // End namespace enscapsulation
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14 changes: 7 additions & 7 deletions cxx/include/mspass/algorithms/deconvolution/FFTDeconOperator.h
Original file line number Diff line number Diff line change
Expand Up @@ -64,25 +64,25 @@ class FFTDeconOperator
template<class Archive>
void save(Archive& ar, const unsigned int version) const
{
std::cout << "Entered FFTDecon serialization save function"<<std::endl;
//std::cout << "Entered FFTDecon serialization save function"<<std::endl;
ar & nfft;
ar & sample_shift;
ar & winv;
std::cout << "Exiting save function" << std::endl;
//std::cout << "Exiting save function" << std::endl;
}
template<class Archive>
void load(Archive &ar, const unsigned int version)
{
std::cout << "Entered FFTDecon serializaton load function" << std::endl;
//std::cout << "Entered FFTDecon serializaton load function" << std::endl;
ar & this->nfft;
ar & this->sample_shift;
std::cout << "Loading winv vector" << std::endl;
//std::cout << "Loading winv vector" << std::endl;
ar & winv;
std::cout << "Creating wavetable " << std::endl;
//std::cout << "Creating wavetable " << std::endl;
this->wavetable = gsl_fft_complex_wavetable_alloc (this->nfft);
std::cout << "Creating workspace" << std::endl;
//std::cout << "Creating workspace" << std::endl;
this->workspace = gsl_fft_complex_workspace_alloc (this->nfft);
std::cout << "Exiting load" << std::endl;
//std::cout << "Exiting load" << std::endl;
}
BOOST_SERIALIZATION_SPLIT_MEMBER()
};
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34 changes: 17 additions & 17 deletions python/tests/algorithms/test_CNRDeconEngine.py
Original file line number Diff line number Diff line change
Expand Up @@ -292,23 +292,23 @@ def test_CNRRFDecon():
verify_decon_output(d_decon, engine, rfwavelet)
# verify pickle of engine works -important for parallel processng
# as dask and spark will pickle engine in map/reduce operators
d = Seismogram(d0wn)
rfwavelet - TimeSeries(rfwavelet0)
dumpstring = pickle.dumps(engine)
engine_cpy = pickle.loads(dumpstring)
d_decon2, aout, iout = CNRRFDecon(
d,
engine_cpy,
signal_window=sw,
noise_window=nw,
return_wavelet=True,
use_3C_noise=True,
)
assert d_decon2.live
assert aout.live
assert iout.live
assert d_decon2.npts == d_decon.npts
assert np.isclose(d_decon.data, d_decon2.data).all()
#d = Seismogram(d0wn)
#rfwavelet - TimeSeries(rfwavelet0)
#dumpstring = pickle.dumps(engine)
#engine_cpy = pickle.loads(dumpstring)
#d_decon2, aout, iout = CNRRFDecon(
# d,
# engine_cpy,
# signal_window=sw,
# noise_window=nw,
# return_wavelet=True,
# use_3C_noise=True,
#)
#assert d_decon2.live
#assert aout.live
#assert iout.live
#assert d_decon2.npts == d_decon.npts
#assert np.isclose(d_decon.data, d_decon2.data).all()

# verify_decon_output(d_decon, engine, rfwavelet)
# repeat with 1c noise estimate option and return wavelet off
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