def make_h5_file(filename,out_dir='./', new_filename = None, max_load = None):
''' Converts file to HDF5 (.h5) format. Default saves output in current dir.
'''
fil_file = Waterfall(filename, max_load = max_load)
if not new_filename:
new_filename = out_dir+filename.replace('.fil','.h5').split('/')[-1]
if '.h5' not in new_filename:
new_filename = new_filename+'.h5'
fil_file.write_to_hdf5(new_filename)
def make_fil_file(filename, out_dir='./', new_filename=None, max_load=None):
""" Converts file to Sigproc filterbank (.fil) format. Default saves output in current dir.
"""
fil_file = Waterfall(filename, max_load=max_load)
if not new_filename:
new_filename = out_dir + filename.replace('.h5', '.fil').split('/')[-1]
if '.fil' not in new_filename:
new_filename = new_filename + '.fil'
fil_file.write_to_fil(new_filename)
def make_h5_file(filename, out_dir='./', new_filename=None, max_load=None):
''' Converts file to HDF5 (.h5) format. Default saves output in current dir.
'''
fil_file = Waterfall(filename, max_load=max_load)
if not new_filename:
new_filename = out_dir + filename.replace('.fil', '.h5').split('/')[-1]
if '.h5' not in new_filename:
new_filename = new_filename + '.h5'
fil_file.write_to_hdf5(new_filename)
def _initialize(self, n_stages, n_seed, n_traj, batch_size, max_queue):
w = Waterfall(n_stages, n_traj, batch_size, max_queue)
store = vault.create_db(w)
w.store = store
logging.basicConfig(level=logging.INFO,
filename="Data/Logs/server.log")
logger = logging.getLogger(__name__)
logger.info("Initializing waterfall.")
for state in self.iter_start():
w.add_start_state(state)
for _ in range(n_seed):
w.add_new_start_task()
w.save()
def make_h5_file(filename, out_dir='./', new_filename=None, max_load=None):
""" Converts file to HDF5 (.h5) format. Default saves output in current dir.
Args:
filename (str): Name of filterbank file to read
out_dir (str): Output directory path. Defaults to cwd
new_filename (None or str): Name of output filename. If not set, will default
to same as input, but with .h5 instead of .fil
"""
fil_file = Waterfall(filename, max_load=max_load)
if not new_filename:
new_filename = out_dir + filename.replace('.fil', '.h5').split('/')[-1]
if '.h5' not in new_filename:
new_filename = new_filename + '.h5'
fil_file.write_to_hdf5(new_filename)
def bl_scrunch(filename,
out_dir='./',
new_filename=None,
max_load=None,
f_scrunch=None):
""" Frequency scrunch (lower resolution by averaging) filename
Args:
filename (str): Name of file to open
out_dir (str):
"""
fil_file = Waterfall(filename, max_load=max_load)
if not new_filename:
new_filename = out_dir + filename.replace(
'.h5', '.scrunched.h5').split('/')[-1]
print("Using fscrunch %i" % f_scrunch)
fil_file.write_to_hdf5(new_filename, f_scrunch=f_scrunch)