26095718918

Committed 19 May 2026 11:59AM UTC coverage: 85.418% (-6.5%) from 91.886%

Build # 26095718918

Build Type

push

github

Committed by

amarrerod

Commit Message

Updates tests. Removes some parts from coverage.

Coverage Stats

9 of 15 new or added lines in 5 files covered. (60.0%)

189 existing lines in 11 files now uncovered.

1564 of 1831 relevant lines covered (85.42%)

0.85 hits per line

Source File
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33.33

/digneapy/visualize/_map_elites_evolution_plot.py

#!/usr/bin/env python
# -*-coding:utf-8 -*-
"""
@File    :   _map_elites_evolution_plot.py
@Time    :   2024/09/18 11:04:14
@Author  :   Alejandro Marrero
@Version :   1.0
@Contact :   amarrerd@ull.edu.es
@License :   (C)Copyright 2024, Alejandro Marrero
@Desc    :   None
"""

from typing import Optional

import matplotlib

matplotlib.use("Agg")  # Non-interactive backend
from pathlib import Path

import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns


def map_elites_evolution_plot(logbook=None, filename: Optional[str | Path] = ""):
    df = pd.DataFrame(logbook.select("avg"), columns=["avg"])
    df["min"] = logbook.select("min")
    df["max"] = logbook.select("max")
    df["Generation"] = logbook.select("gen")
    # Plot configuration
    plt.rcParams["font.family"] = "serif"
    plt.rcParams["font.sans-serif"] = [
        "Tahoma",
        "DejaVu Sans",
        "Lucida Grande",
        "Verdana",
    ]
    plt.rcParams["font.size"] = 16
    plt.figure(figsize=(12, 8))
    for key, color in zip(["avg", "min", "max"], ["blue", "green", "red"]):
        sns.lineplot(data=df, x="Generation", y=key, color=color, label=key)
    plt.legend(loc="best")
    plt.title(r"Evolution of fitness in the Map-Elites generator")
    plt.ylabel("Fitness")
    if filename:
        plt.savefig(filename)
    else:  # pragma: no cover
        plt.show()
    plt.close()

1	#!/usr/bin/env python
2	# --coding:utf-8 --
3	"""
4	@File : _map_elites_evolution_plot.py
5	@Time : 2024/09/18 11:04:14
6	@Author : Alejandro Marrero
7	@Version : 1.0
8	@Contact : amarrerd@ull.edu.es
9	@License : (C)Copyright 2024, Alejandro Marrero
10	@Desc : None
11	"""
12
13	from typing import Optional	1✔
14
15	import matplotlib	1✔
16
17	matplotlib.use("Agg") # Non-interactive backend	1✔
18	from pathlib import Path	1✔
19
20	import matplotlib.pyplot as plt	1✔
21	import pandas as pd	1✔
22	import seaborn as sns	1✔
23
24
25	def map_elites_evolution_plot(logbook=None, filename: Optional[str \| Path] = ""):	1✔
UNCOV 26	df = pd.DataFrame(logbook.select("avg"), columns=["avg"])	×
UNCOV 27	df["min"] = logbook.select("min")	×
UNCOV 28	df["max"] = logbook.select("max")	×
UNCOV 29	df["Generation"] = logbook.select("gen")	×
30	# Plot configuration
UNCOV 31	plt.rcParams["font.family"] = "serif"	×
UNCOV 32	plt.rcParams["font.sans-serif"] = [	×
33	"Tahoma",
34	"DejaVu Sans",
35	"Lucida Grande",
36	"Verdana",
37	]
UNCOV 38	plt.rcParams["font.size"] = 16	×
UNCOV 39	plt.figure(figsize=(12, 8))	×
UNCOV 40	for key, color in zip(["avg", "min", "max"], ["blue", "green", "red"]):	×
UNCOV 41	sns.lineplot(data=df, x="Generation", y=key, color=color, label=key)	×
UNCOV 42	plt.legend(loc="best")	×
UNCOV 43	plt.title(r"Evolution of fitness in the Map-Elites generator")	×
UNCOV 44	plt.ylabel("Fitness")	×
UNCOV 45	if filename:	×
UNCOV 46	plt.savefig(filename)	×
47	else: # pragma: no cover
48	plt.show()
UNCOV 49	plt.close()	×

DIGNEA / DIGNEApy / 26095718918

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