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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37.5

/digneapy/visualize/_evo_generator_evolution_plot.py

#!/usr/bin/env python
# -*-coding:utf-8 -*-
"""
@File    :   _evo_generator_evolution_plot.py
@Time    :   2024/09/18 11:03:49
@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
from matplotlib.lines import Line2D


def ea_generator_evolution_plot(logbook=None, filename: Optional[str | Path] = ""):
    df = pd.DataFrame(logbook.chapters["s"].select("avg"), columns=[r"$s$"])
    df[r"$p$"] = logbook.chapters["p"].select("avg")
    df["Generations"] = 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))
    ax = sns.lineplot(
        data=df,
        x="Generations",
        y=r"$s$",
        marker="o",
        color="blue",
        markersize=5,
        legend=False,
    )

    ax2 = plt.twinx()
    sns.lineplot(
        data=df,
        x="Generations",
        y=r"$p$",
        marker="X",
        markersize=5,
        color="red",
        legend=False,
        ax=ax2,
    )
    ax.legend(
        handles=[
            Line2D([], [], marker="o", color="blue", label=r"$s$"),
            Line2D([], [], marker="X", color="red", label=r"$p$"),
        ],
        loc="center right",
    )

    plt.title(r"Evolution of $s$ and $p$")
    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 : _evo_generator_evolution_plot.py
5	@Time : 2024/09/18 11:03:49
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	from matplotlib.lines import Line2D	1✔
24
25
26	def ea_generator_evolution_plot(logbook=None, filename: Optional[str \| Path] = ""):	1✔
UNCOV 27	df = pd.DataFrame(logbook.chapters["s"].select("avg"), columns=[r"$s$"])	×
UNCOV 28	df[r"$p$"] = logbook.chapters["p"].select("avg")	×
UNCOV 29	df["Generations"] = logbook.select("gen")	×
30
31	# Plot configuration
UNCOV 32	plt.rcParams["font.family"] = "serif"	×
UNCOV 33	plt.rcParams["font.sans-serif"] = [	×
34	"Tahoma",
35	"DejaVu Sans",
36	"Lucida Grande",
37	"Verdana",
38	]
UNCOV 39	plt.rcParams["font.size"] = 16	×
UNCOV 40	plt.figure(figsize=(12, 8))	×
UNCOV 41	ax = sns.lineplot(	×
42	data=df,
43	x="Generations",
44	y=r"$s$",
45	marker="o",
46	color="blue",
47	markersize=5,
48	legend=False,
49	)
50
UNCOV 51	ax2 = plt.twinx()	×
UNCOV 52	sns.lineplot(	×
53	data=df,
54	x="Generations",
55	y=r"$p$",
56	marker="X",
57	markersize=5,
58	color="red",
59	legend=False,
60	ax=ax2,
61	)
UNCOV 62	ax.legend(	×
63	handles=[
64	Line2D([], [], marker="o", color="blue", label=r"$s$"),
65	Line2D([], [], marker="X", color="red", label=r"$p$"),
66	],
67	loc="center right",
68	)
69
UNCOV 70	plt.title(r"Evolution of $s$ and $p$")	×
UNCOV 71	if filename:	×
UNCOV 72	plt.savefig(filename)	×
73	else: # pragma: no cover
74	plt.show()
UNCOV 75	plt.close()	×

DIGNEA / DIGNEApy / 26095718918

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