Source code for sentarget.utils.display
"""
This module defines basic function to render a simulation, like progress bar and statistics table.
"""
import numpy as np
import time
[docs]def get_time(start_time, end_time):
"""Get ellapsed time in minutes and seconds.
Args:
start_time (float): strarting time
end_time (float): ending time
Returns:
elapsed_mins (float): elapsed time in minutes
elapsed_secs (float): elapsed time in seconds.
"""
elapsed_time = end_time - start_time
elapsed_mins = int(elapsed_time / 60)
elapsed_secs = int(elapsed_time - (elapsed_mins * 60))
return elapsed_mins, elapsed_secs
[docs]def progress_bar(current_index, max_index, prefix=None, suffix=None, start_time=None):
"""Display a progress bar and duration.
Args:
current_index (int): current state index (or epoch number).
max_index (int): maximal numbers of state.
prefix (str, optional): prefix of the progress bar. The default is None.
suffix (str, optional): suffix of the progress bar. The default is None.
start_time (float, optional): starting time of the progress bar. If not None, it will display the time
spent from the beginning to the current state. The default is None.
Returns:
None. Display the progress bar in the console.
"""
# Add a prefix to the progress bar
prefix = "" if prefix is None else str(prefix) + " "
# Get the percentage
percentage = current_index * 100 // max_index
loading = "[" + "=" * (percentage // 2) + " " * (50 - percentage // 2) + "]"
progress_display = "\r{0}{1:3d}% | {2}".format(prefix, percentage, loading)
# Add a suffix to the progress bar
progress_display += "" if suffix is None else sep + str(suffix)
# Add a timer
if start_time is not None:
time_min, time_sec = get_time(start_time, time.time())
time_display = f" | Time: {time_min:2d}m {time_sec:2d}s"
progress_display += time_display
# Print the progress bar
# TODO: return a string instead
print(progress_display, end="{}".format("" if current_index < max_index else " | Done !\n"))
[docs]def describe_dict(state_dict, key_length=50, show_iter=False, capitalize=False, pad=False, sep_key=', ', sep_val='='):
"""Describe and render a dictionary. Usually, this function is called on a ``Solver`` state dictionary,
and merged with a progress bar.
Args:
state_dict (dict): the dictionary to showcase.
key_length (int): number of letter from a string name to show.
show_iter (bool): if ``True``, show iterable. Note that this may destroy the rendering.
capitalize (bool): if ``True`` will capitalize the keys.
pad (bool): if ``True``, will pad the displayed number up to 4 characters.
sep_key (string): key separator.
sep_val (string): value separator.
Returns:
string: the dictionary to render.
"""
stats_display = ""
use_sep = False
for idx, (key, value) in enumerate(state_dict.items()):
key = str(key).capitalize() if capitalize else str(key)
if isinstance(value, float):
if use_sep:
stats_display += sep_key
value_display = f"{key[:key_length]}{sep_val}{value:.4f}" if pad else f"{key[:key_length]}{sep_val}{value}"
stats_display += f"{value_display}"
use_sep = True
elif isinstance(value, int):
if use_sep:
stats_display += sep_key
value_display = f"{key[:key_length]}{sep_val}{value:4d}" if pad else f"{key[:key_length]}{sep_val}{value}"
stats_display += f"{value_display}"
use_sep = True
elif isinstance(value, bool):
if use_sep:
stats_display += sep_key
stats_display += f"{key[:key_length]}{sep_val}{value}"
use_sep = True
elif isinstance(value, str):
if use_sep:
stats_display += sep_key
stats_display += f"{key[:key_length]}{sep_val}'{value}'"
use_sep = True
elif (isinstance(value, list) or isinstance(value, tuple)) and show_iter:
if use_sep:
stats_display += sep_key
stats_display += f"{key[:key_length]}{sep_val}{value}"
use_sep = True
return stats_display
[docs]def stats_dict(state_dict):
r"""Describe statistical information from a dictionary composed of lists.
Args:
state_dict (dict): dictionary were cumulative information are stored.
Returns:
dict
"""
stats = {'mean': {},
'std': {},
'max': {}}
for (key, value) in state_dict.items():
if isinstance(value, list):
if isinstance(value[0], int) or isinstance(value[0], float):
stats['mean'].update({key: float(np.mean(value))})
stats['std'].update({key: float(np.std(value))})
stats['max'].update({key: float(np.max(value))})
# stats['min'].update({key: float(np.min(value))})
# stats['q1/4'].update({key: float(np.quantile(value, 0.25))})
# stats['q2/4'].update({key: float(np.quantile(value, 0.5))})
# stats['q3/4'].update({key: float(np.quantile(value, 0.75))})
return stats