text: import os
  import numpy as np
  from riptide import TimeSeries
  
  
  INF_TEMPLATE = """
   Data file name without suffix          =  {basename:s}
   Telescope used                         =  Parkes
   Instrument used                        =  Multibeam
   Object being observed                  =  Pulsar
   J2000 Right Ascension (hh:mm:ss.ssss)  =  00:00:01.0000
   J2000 Declination     (dd:mm:ss.ssss)  =  -00:00:01.0000
   Data observed by                       =  Kenji Oba
   Epoch of observation (MJD)             =  59000.000000
   Barycentered?           (1=yes, 0=no)  =  1
   Number of bins in the time series      =  {nsamp:d}
   Width of each time series bin (sec)    =  {tsamp:.12e}
   Any breaks in the data? (1=yes, 0=no)  =  0
   Type of observation (EM band)          =  Radio
   Beam diameter (arcsec)                 =  981
   Dispersion measure (cm-3 pc)           =  {dm:.12f}
   Central freq of low channel (Mhz)      =  1182.1953125
   Total bandwidth (Mhz)                  =  400
   Number of channels                     =  1024
   Channel bandwidth (Mhz)                =  0.390625
   Data analyzed by                       =  Space Sheriff Gavan
   Any additional notes:
      Input filterbank samples have 2 bits.
  """
  
  def generate_data_presto(outdir, basename, tobs=128.0, tsamp=256e-6, period=1.0, dm=0.0, amplitude=20.0, ducy=0.05):
      """
      Generate some time series data with a fake signal, and save it in PRESTO
      inf/dat format in the specified output directory.
  
      Parameters
      ----------
      outdir : str
          Path to the output directory
      basename : str
          Base file name (not path) under which the .inf and .dat files 
          will be saved.
      **kwargs: self-explanatory
      """
      ### IMPORTANT: seed the RNG to get reproducible results ###
      np.random.seed(0)
  
      ts = TimeSeries.generate(
          tobs, tsamp, period, 
          amplitude=amplitude, ducy=ducy, stdnoise=1.0
      )
      inf_text = INF_TEMPLATE.format(basename=basename, nsamp=ts.nsamp, tsamp=tsamp, dm=dm)
  
      inf_path = os.path.join(outdir, f"{basename}.inf")
      dat_path = os.path.join(outdir, f"{basename}.dat")
      with open(inf_path, 'w') as fobj:
          fobj.write(inf_text)
      ts.data.tofile(dat_path)
  