dunedaq::rawdatautils::daphne Namespace Reference

Functions
uint32_t	get_n_frames (daqdataformats::Fragment const &frag)
	Gets number of DAPHNEFrames in a fragment
uint32_t	get_n_frames_stream (daqdataformats::Fragment const &frag)
	Gets number of DAPHNEStreamFrames in a fragment
py::array_t< uint8_t >	np_array_channels_stream_data (void *data, int nframes)
	Unpacks channel numbers for DAPHNEStreamFrames into a numpy array with dimensions (nframes, s_channels_per_frame)
py::array_t< uint8_t >	np_array_channels_data (void *data, int nframes)
	Unpacks channel numbers for DAPHNEFrames into a numpy array with dimensions (nframes)
py::array_t< uint8_t >	np_array_channels (daqdataformats::Fragment &frag)
	Unpacks channel numbers for Fragment that contains DAPHNEFrames into a numpy array with dimensions
py::array_t< uint8_t >	np_array_channels_stream (daqdataformats::Fragment &frag)
	Unpacks channel numbers for Fragment that contains DAPHNEStreamFrames into a numpy array with dimensions
py::array_t< uint16_t >	np_array_adc_data (void *data, int nframes)
	Unpacks data containing DAPHNEFrames into a numpy array with the ADC values and dimension (number of DAPHNEFrames, channels_per_daphne) Warning: It doesn't check that nframes is a sensible value (can read out of bounds)
py::array_t< uint16_t >	np_array_adc_stream_data (void *data, int nframes)
	Unpacks data containing DAPHNEStreamFrames into a numpy array with the ADC values and dimension (number of DAPHNEStreamFrames * adcs_per_channel (64), channels_per_frame (4)) Warning: It doesn't check that nframes is a sensible value (can read out of bounds)
py::array_t< uint64_t >	np_array_timestamp_data (void *data, int nframes)
	Unpacks data containing DAPHNEFrames into a numpy array with the timestamps with dimension (number of DAPHNEFrames) Warning: It doesn't check that nframes is a sensible value (can read out of bounds)
py::array_t< uint64_t >	np_array_timestamp_stream_data (void *data, int nframes)
	Unpacks data containing DAPHNEStreamFrames into a numpy array with the timestamps with dimension (number of DAPHNEStreamFrames) Warning: It doesn't check that nframes is a sensible value (can read out of bounds)
py::array_t< uint16_t >	np_array_adc (daqdataformats::Fragment &frag)
	Unpacks a Fragment containing DAPHNEFrames into a numpy array with the ADC values and dimension (number of DAPHNEFrames in the Fragment, 320)
py::array_t< uint16_t >	np_array_adc_stream (daqdataformats::Fragment &frag)
	Unpacks a Fragment containing DAPHNEStreamFrames into a numpy array with the ADC values and dimension (number of DAPHNEStreamFrames in the Fragment, 4)
py::array_t< uint64_t >	np_array_timestamp (daqdataformats::Fragment &frag)
	Unpacks the timestamps in a Fragment containing WIBFrames into a numpy array with dimension (number of DAPHNEFrames in the Fragment)
py::array_t< uint64_t >	np_array_timestamp_stream (daqdataformats::Fragment &frag)
	Unpacks the timestamps in a Fragment containing DAPHNEStreamFrames into a numpy array with dimension (number of DAPHNEStreamFrames in the Fragment)

Function Documentation

get_n_frames()

uint32_t dunedaq::rawdatautils::daphne::get_n_frames

(

daqdataformats::Fragment const &

frag

)

Gets number of DAPHNEFrames in a fragment

Definition at line 22 of file DAPHNEUnpacker.cpp.

                                                         {
  return (frag.get_size() - sizeof(daqdataformats::FragmentHeader)) / sizeof(fddetdataformats::DAPHNEFrame);
}

get_n_frames_stream()

uint32_t dunedaq::rawdatautils::daphne::get_n_frames_stream

(

daqdataformats::Fragment const &

frag

)

Gets number of DAPHNEStreamFrames in a fragment

Definition at line 29 of file DAPHNEUnpacker.cpp.

                                                                {
  return (frag.get_size() - sizeof(daqdataformats::FragmentHeader)) / sizeof(fddetdataformats::DAPHNEStreamFrame);
}

np_array_adc()

py::array_t< uint16_t > dunedaq::rawdatautils::daphne::np_array_adc

(

daqdataformats::Fragment &

frag

)

Unpacks a Fragment containing DAPHNEFrames into a numpy array with the ADC values and dimension (number of DAPHNEFrames in the Fragment, 320)

Definition at line 184 of file DAPHNEUnpacker.cpp.

                                                              {
  return np_array_adc_data(frag.get_data(), (frag.get_size() - sizeof(daqdataformats::FragmentHeader)) / sizeof(fddetdataformats::DAPHNEFrame));
}

np_array_adc_data()

py::array_t< uint16_t > dunedaq::rawdatautils::daphne::np_array_adc_data	(	void *	data,
		int	nframes )

Unpacks data containing DAPHNEFrames into a numpy array with the ADC values and dimension (number of DAPHNEFrames, channels_per_daphne) Warning: It doesn't check that nframes is a sensible value (can read out of bounds)

Definition at line 95 of file DAPHNEUnpacker.cpp.

                                                              {
  
  const auto adcs_per_channel     = fddetdataformats::DAPHNEFrame::s_num_adcs;
 
  py::array_t<uint16_t> ret(nframes * adcs_per_channel);
  auto ptr = static_cast<uint16_t*>(ret.request().ptr);
  for (size_t i=0; i<(size_t)nframes; ++i) {
    auto fr = reinterpret_cast<fddetdataformats::DAPHNEFrame*>(static_cast<char*>(data) + i * sizeof(fddetdataformats::DAPHNEFrame));
    //auto fr = reinterpret_cast<fddetdataformats::DAPHNEFrame*>(static_cast<char*>(data) + i * sizeof(fddetdataformats::DAPHNEFrame));
    for (size_t j=0; j<adcs_per_channel; ++j) {
      ptr[i*adcs_per_channel + j] = fr->get_adc(j);
    }
    //for (size_t j=0; j<channels_per_daphne; ++j)
    
  }
  ret.resize({nframes, adcs_per_channel});
 
  return ret;
}

np_array_adc_stream()

py::array_t< uint16_t > dunedaq::rawdatautils::daphne::np_array_adc_stream

(

daqdataformats::Fragment &

frag

)

Unpacks a Fragment containing DAPHNEStreamFrames into a numpy array with the
ADC values and dimension (number of DAPHNEStreamFrames in the Fragment, 4)

Definition at line 192 of file DAPHNEUnpacker.cpp.

                                                                     {
  return np_array_adc_stream_data(frag.get_data(), (frag.get_size() - sizeof(daqdataformats::FragmentHeader)) / sizeof(fddetdataformats::DAPHNEStreamFrame));
}

np_array_adc_stream_data()

py::array_t< uint16_t > dunedaq::rawdatautils::daphne::np_array_adc_stream_data	(	void *	data,
		int	nframes )

Unpacks data containing DAPHNEStreamFrames into a numpy array with the ADC
values and dimension (number of DAPHNEStreamFrames * adcs_per_channel (64), channels_per_frame (4))
Warning: It doesn't check that nframes is a sensible value (can read out of bounds)

Definition at line 120 of file DAPHNEUnpacker.cpp.

                                                                     {
 
  const auto channels_per_daphne  = fddetdataformats::DAPHNEStreamFrame::s_channels_per_frame;
  const auto adcs_per_channel     = fddetdataformats::DAPHNEStreamFrame::s_adcs_per_channel;
 
  
  py::array_t<uint16_t> ret(channels_per_daphne * nframes * adcs_per_channel);
  auto ptr = static_cast<uint16_t*>(ret.request().ptr);
  for (size_t i=0; i<(size_t)nframes; ++i) {
    auto fr = reinterpret_cast<fddetdataformats::DAPHNEStreamFrame*>(static_cast<char*>(data) + i * sizeof(fddetdataformats::DAPHNEStreamFrame));
    for (size_t j=0; j<adcs_per_channel; ++j)
      for (size_t k=0; k<channels_per_daphne; ++k)
        ptr[channels_per_daphne * (adcs_per_channel * i + j) + k] = fr->get_adc(j,k);
  }
  ret.resize({nframes*adcs_per_channel, channels_per_daphne});
 
  return ret;
}

np_array_channels()

py::array_t< uint8_t > dunedaq::rawdatautils::daphne::np_array_channels

(

daqdataformats::Fragment &

frag

)

Unpacks channel numbers for Fragment that contains DAPHNEFrames into a numpy array with dimensions

Definition at line 78 of file DAPHNEUnpacker.cpp.

                                                                  {
  return np_array_channels_data(frag.get_data(), (frag.get_size() - sizeof(daqdataformats::FragmentHeader)) / sizeof(fddetdataformats::DAPHNEFrame));
}

np_array_channels_data()

py::array_t< uint8_t > dunedaq::rawdatautils::daphne::np_array_channels_data	(	void *	data,
		int	nframes )

Unpacks channel numbers for DAPHNEFrames into a numpy array with dimensions (nframes)

Definition at line 63 of file DAPHNEUnpacker.cpp.

                                                                  {
 
  py::array_t<uint8_t> channels(nframes);
  auto ptr = static_cast<uint8_t*>(channels.request().ptr);
 
  for (size_t i=0; i<(size_t)nframes; ++i) {
    auto fr = reinterpret_cast<fddetdataformats::DAPHNEFrame*>(static_cast<char*>(data) + i * sizeof(fddetdataformats::DAPHNEFrame));
    ptr[i] = fr->get_channel();
  }
 
  return channels;
}

np_array_channels_stream()

py::array_t< uint8_t > dunedaq::rawdatautils::daphne::np_array_channels_stream

(

daqdataformats::Fragment &

frag

)

Unpacks channel numbers for Fragment that contains DAPHNEStreamFrames into a numpy array with dimensions

Definition at line 85 of file DAPHNEUnpacker.cpp.

                                                                         {
  return np_array_channels_stream_data(frag.get_data(), (frag.get_size() - sizeof(daqdataformats::FragmentHeader)) / sizeof(fddetdataformats::DAPHNEStreamFrame));
}

np_array_channels_stream_data()

py::array_t< uint8_t > dunedaq::rawdatautils::daphne::np_array_channels_stream_data	(	void *	data,
		int	nframes )

Unpacks channel numbers for DAPHNEStreamFrames into a numpy array with dimensions (nframes, s_channels_per_frame)

Definition at line 39 of file DAPHNEUnpacker.cpp.

                                                                         {
 
  const auto channels_per_daphne  = fddetdataformats::DAPHNEStreamFrame::s_channels_per_frame;
  py::array_t<uint8_t> channels(channels_per_daphne * nframes);
  auto ptr = static_cast<uint8_t*>(channels.request().ptr);
 
  for (size_t i=0; i<(size_t)nframes; ++i) {
    auto fr = reinterpret_cast<fddetdataformats::DAPHNEStreamFrame*>(static_cast<char*>(data) + i * sizeof(fddetdataformats::DAPHNEStreamFrame));
 
    ptr[i*channels_per_daphne + 0] = fr->get_channel0();
    ptr[i*channels_per_daphne + 1] = fr->get_channel1();
    ptr[i*channels_per_daphne + 2] = fr->get_channel2();
    ptr[i*channels_per_daphne + 3] = fr->get_channel3();
 
  }   
  channels.resize({nframes, channels_per_daphne});
 
  return channels; 
}

np_array_timestamp()

py::array_t< uint64_t > dunedaq::rawdatautils::daphne::np_array_timestamp

(

daqdataformats::Fragment &

frag

)

Unpacks the timestamps in a Fragment containing WIBFrames into a numpy array with dimension (number of DAPHNEFrames in the Fragment)

Definition at line 201 of file DAPHNEUnpacker.cpp.

                                                                    {
  return np_array_timestamp_data(frag.get_data(), (frag.get_size() - sizeof(daqdataformats::FragmentHeader)) / sizeof(fddetdataformats::DAPHNEFrame));
}

np_array_timestamp_data()

py::array_t< uint64_t > dunedaq::rawdatautils::daphne::np_array_timestamp_data	(	void *	data,
		int	nframes )

Unpacks data containing DAPHNEFrames into a numpy array with the timestamps with dimension (number of DAPHNEFrames) Warning: It doesn't check that nframes is a sensible value (can read out of bounds)

Definition at line 145 of file DAPHNEUnpacker.cpp.

                                                                    {
 
  py::array_t<uint64_t> ret(nframes);
  auto ptr = static_cast<uint64_t*>(ret.request().ptr);
  for (size_t i=0; i<(size_t)nframes; ++i) {
    auto fr = reinterpret_cast<fddetdataformats::DAPHNEFrame*>(static_cast<char*>(data) + i * sizeof(fddetdataformats::DAPHNEFrame));
    ptr[i] = fr->get_timestamp();
  }
 
  return ret;
}

np_array_timestamp_stream()

py::array_t< uint64_t > dunedaq::rawdatautils::daphne::np_array_timestamp_stream

(

daqdataformats::Fragment &

frag

)

Unpacks the timestamps in a Fragment containing DAPHNEStreamFrames into a numpy
array with dimension (number of DAPHNEStreamFrames in the Fragment)

Definition at line 209 of file DAPHNEUnpacker.cpp.

                                                                           {
  return np_array_timestamp_stream_data(frag.get_data(), (frag.get_size() - sizeof(daqdataformats::FragmentHeader)) / sizeof(fddetdataformats::DAPHNEStreamFrame));
}

np_array_timestamp_stream_data()

py::array_t< uint64_t > dunedaq::rawdatautils::daphne::np_array_timestamp_stream_data	(	void *	data,
		int	nframes )

Unpacks data containing DAPHNEStreamFrames into a numpy array with the
timestamps with dimension (number of DAPHNEStreamFrames)
Warning: It doesn't check that nframes is a sensible value (can read out of bounds)

Definition at line 162 of file DAPHNEUnpacker.cpp.

                                                                            {
 
  const auto adcs_per_channel = fddetdataformats::DAPHNEStreamFrame::s_adcs_per_channel;
  const size_t ticks_per_adc = 1;
 
  py::array_t<uint64_t> ret(nframes*adcs_per_channel);
 
  auto ptr = static_cast<uint64_t*>(ret.request().ptr);
  for (size_t i=0; i<(size_t)nframes; ++i) {
    auto fr = reinterpret_cast<fddetdataformats::DAPHNEStreamFrame*>(static_cast<char*>(data) + i * sizeof(fddetdataformats::DAPHNEStreamFrame));
    for (size_t j=0; j<adcs_per_channel; ++j)
      ptr[i*adcs_per_channel+j] = fr->get_timestamp()+j*ticks_per_adc;
  }
 
  return ret;
}