def show_table(log: Dict[str, Any], console: Console) -> None:
"""Generate a rich table from an optimization status and display it on the console.
Parameters
----------
log : Dict
Dictionary read from a json log file containing a c3-toolset optimization status.
console : Console
Rich console for output.
"""
opt_map = log["opt_map"]
optim_status = log["optim_status"]
units = log["units"]
params = optim_status["params"]
if "gradient" not in optim_status:
grads = [0] * len(params)
else:
grads = optim_status["gradient"]
table = Table(show_header=True, header_style="bold magenta")
table.add_column("Parameter")
table.add_column("Value", justify="right")
table.add_column("Gradient", justify="right")
for ii, equiv_ids in enumerate(opt_map):
par = params[ii]
par = num3str(par)
par_id = equiv_ids[0]
table.add_row(par_id, par + units[ii], num3str(grads[ii]) + units[ii])
for par_id in equiv_ids[1:]:
table.add_row(par_id, "''", "''")
console.clear()
print(
f"Optimization reached {optim_status.pop('goal', -1):0.3g} at {optim_status.pop('time', 0)}\n"
)
console.print(table)
def show_table():
if log:
opt_map = log["opt_map"]
optim_status = log["optim_status"]
units = log["units"]
params = optim_status["params"]
grads = optim_status["gradient"]
table = Table(show_header=True, header_style="bold magenta")
table.add_column("Parameter")
table.add_column("Value", justify="right")
table.add_column("Gradient", justify="right")
for ii in range(len(opt_map)):
equiv_ids = opt_map[ii]
par = params[ii]
grad = grads[ii]
par = num3str(par)
grad = num3str(grad)
par_id = equiv_ids[0]
nice_id = "-".join(par_id)
table.add_row(nice_id, par + units[ii], grad + units[ii])
if len(equiv_ids) > 1:
for par_id in equiv_ids[1:]:
nice_id = "-".join(par_id)
table.add_row(nice_id, "''", "''")
console.clear()
print(
f"Optimization reached {optim_status['goal']:0.3g} at {optim_status['time']}\n"
)
console.print(table)
def __str__(self):
val = self.numpy()
ret = ""
for entry in np.nditer(val):
if self.unit != "undefined":
ret += num3str(entry) + self.unit + " "
else:
ret += num3str(entry, use_prefix=False) + " "
return ret
def __str__(self):
val = self.numpy()
use_prefix = True
if self.unit == "Hz 2pi":
val = val / 2 / np.pi
elif self.unit == "pi":
val = val / np.pi
use_prefix = False
ret = ""
for q in num3str(val, use_prefix):
ret += q + self.unit + " "
return ret
def __str__(self):
val = self.numpy()
ret = ""
for entry in np.nditer(val):
ret += num3str(entry) + self.unit + " "
return ret
print("Logfile not found.")
if log:
opt_map = log["opt_map"]
optim_status = log["optim_status"]
units = log["units"]
params = optim_status["params"]
grads = optim_status["gradient"]
print(f"Optimization reached {optim_status['goal']:0.3g} at {optim_status['time']}\n")
table = Table(show_header=True, header_style="bold magenta")
table.add_column("Parameter")
table.add_column("Value", justify="right")
table.add_column("Gradient", justify="right")
for ii in range(len(opt_map)):
equiv_ids = opt_map[ii]
par = params[ii]
grad = grads[ii]
par = num3str(par)
grad = num3str(grad)
par_id = equiv_ids[0]
nice_id = "-".join(par_id)
table.add_row(nice_id, par+units[ii], grad+units[ii])
if len(equiv_ids) > 1:
for par_id in equiv_ids[1:]:
nice_id = "-".join(par_id)
table.add_row(nice_id, "''", "''")
console = Console()
console.print(table)