def save(self, save_filename=None):
# *************************
# *** Save data to HDF5 ***
# *************************
if save_filename is None:
script_path = os.path.realpath(__file__) # full path of current script
current_dir, script_basename = os.path.split(script_path)
script_filename = os.path.splitext(script_basename)[0] # name of current script
timestamp = time.strftime("%Y%m%d_%H%M%S", time.localtime()) # current date and time
save_basename = f"{script_filename:s}_{timestamp:s}.h5" # name of save file
save_path = os.path.join(current_dir, "data", save_basename) # full path of save file
else:
save_path = os.path.realpath(save_filename)
source_code = get_sourcecode(__file__) # save also the sourcecode of the script for future reference
with h5py.File(save_path, "w") as h5f:
dt = h5py.string_dtype(encoding='utf-8')
ds = h5f.create_dataset("source_code", (len(source_code), ), dt)
for ii, line in enumerate(source_code):
ds[ii] = line
for attribute in self.__dict__:
print(f"{attribute}: {self.__dict__[attribute]}")
if attribute.startswith("_"):
# don't save private attributes
continue
if attribute == "jpa_params":
h5f.attrs[attribute] = str(self.__dict__[attribute])
elif np.isscalar(self.__dict__[attribute]):
h5f.attrs[attribute] = self.__dict__[attribute]
else:
h5f.create_dataset(attribute, data=self.__dict__[attribute])
print(f"Data saved to: {save_path}")
return save_path
store_arr = data_I + 1j * data_Q
# *************************
# *** Save data to HDF5 ***
# *************************
script_path = os.path.realpath(__file__) # full path of current script
current_dir, script_basename = os.path.split(script_path)
script_filename = os.path.splitext(script_basename)[
0] # name of current script
timestamp = time.strftime("%Y%m%d_%H%M%S",
time.localtime()) # current date and time
save_basename = f"{script_filename:s}_{timestamp:s}.h5" # name of save file
save_path = os.path.join(current_dir, "data",
save_basename) # full path of save file
source_code = get_sourcecode(
__file__) # save also the sourcecode of the script for future reference
with h5py.File(save_path, "w") as h5f:
dt = h5py.string_dtype(encoding='utf-8')
ds = h5f.create_dataset("source_code", (len(source_code), ), dt)
for ii, line in enumerate(source_code):
ds[ii] = line
h5f.attrs["num_averages"] = num_averages
h5f.attrs["readout_freq"] = readout_freq
h5f.attrs["control_freq"] = control_freq
h5f.attrs["readout_duration"] = readout_duration
h5f.attrs["control_duration"] = control_duration
h5f.attrs["readout_amp"] = readout_amp
h5f.attrs["control_amp"] = control_amp
h5f.attrs["sample_duration"] = sample_duration
h5f.attrs["wait_delay"] = wait_delay
h5f.attrs["readout_decay"] = readout_decay
store_arr = data_I + 1j * data_Q
# *************************
# *** Save data to HDF5 ***
# *************************
script_path = os.path.realpath(__file__) # full path of current script
current_dir, script_basename = os.path.split(script_path)
script_filename = os.path.splitext(script_basename)[
0] # name of current script
timestamp = time.strftime("%Y%m%d_%H%M%S",
time.localtime()) # current date and time
save_basename = f"{script_filename:s}_{timestamp:s}.h5" # name of save file
save_path = os.path.join(current_dir, "data",
save_basename) # full path of save file
source_code = get_sourcecode(
script_path) # save also the sourcecode of the script for future reference
with h5py.File(save_path, "w") as h5f:
dt = h5py.string_dtype(encoding='utf-8')
ds = h5f.create_dataset("source_code", (len(source_code), ), dt)
for ii, line in enumerate(source_code):
ds[ii] = line
h5f.attrs["num_averages"] = num_averages
h5f.attrs["control_freq"] = control_freq
h5f.attrs["readout_freq"] = readout_freq
h5f.attrs["readout_duration"] = readout_duration
h5f.attrs["readout_amp"] = readout_amp
h5f.attrs["control_amp"] = control_amp
h5f.attrs["sample_duration"] = sample_duration
h5f.attrs["rabi_n"] = rabi_n
h5f.attrs["rabi_dt"] = rabi_dt
h5f.attrs["wait_delay"] = wait_delay