14240561723

Committed 03 Apr 2025 10:16AM UTC coverage: 86.041% (-1.3%) from 87.305%

Build # 14240561723

Build Type

push

github

Committed by

amarrerod

Commit Message

✨ Introduces to_df/to_series functionality

Run Details

41 of 83 new or added lines in 14 files covered. (49.4%)

1 existing line in 1 file now uncovered.

1917 of 2228 relevant lines covered (86.04%)

1.72 hits per line

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0.0

/digneapy/utils/save_data.py

#!/usr/bin/env python
# -*-coding:utf-8 -*-
"""
@File    :   save_data.py
@Time    :   2025/04/03 10:02:16
@Author  :   Alejandro Marrero
@Version :   1.0
@Contact :   amarrerd@ull.edu.es
@License :   (C)Copyright 2025, Alejandro Marrero
@Desc    :   None
"""

from typing import Optional
from collections.abc import Sequence
from digneapy.generators import GenResult
import pandas as pd


def save_instances(
    filename: str,
    result: GenResult,
    solvers_names: Optional[Sequence[str]],
    features_names: Optional[Sequence[str]],
    vars_names: Optional[Sequence[str]],
) -> pd.DataFrame:
    """Saves the results from a Generator into a pd.DataFrame and writes it to a CSV file.

    Args:
        filename (str): filename to store the results.
        result (GenResult): Results from a Generator object.
        solvers_names (Optional[Sequence[str]]): Optionally you can provide the names of the solvers used in the experiment. Default to solver_i.
        features_names (Optional[Sequence[str]]): Optionally you can provide the names of the features of the instances if used. Default to fi.
        vars_names (Optional[Sequence[str]]): Optionally you can provide custom names for the variables of the instances. Default to vi.

    Returns:
        pd.DataFrame: _description_
    """
    df = pd.DataFrame(
        list(
            i.to_series(
                variables_names=vars_names,
                features_names=features_names,
                score_names=solvers_names,
            )
            for i in result.instances
        )
    )
    df.insert(0, "target", result.target)
    df.to_csv(filename, index=False)
    return df

1	#!/usr/bin/env python
2	# --coding:utf-8 --
NEW 3	"""	×
4	@File : save_data.py
5	@Time : 2025/04/03 10:02:16
6	@Author : Alejandro Marrero
7	@Version : 1.0
8	@Contact : amarrerd@ull.edu.es
9	@License : (C)Copyright 2025, Alejandro Marrero
10	@Desc : None
11	"""
12
NEW 13	from typing import Optional	×
NEW 14	from collections.abc import Sequence	×
NEW 15	from digneapy.generators import GenResult	×
NEW 16	import pandas as pd	×
17
18
NEW 19	def save_instances(	×
20	filename: str,
21	result: GenResult,
22	solvers_names: Optional[Sequence[str]],
23	features_names: Optional[Sequence[str]],
24	vars_names: Optional[Sequence[str]],
25	) -> pd.DataFrame:
26	"""Saves the results from a Generator into a pd.DataFrame and writes it to a CSV file.
27
28	Args:
29	filename (str): filename to store the results.
30	result (GenResult): Results from a Generator object.
31	solvers_names (Optional[Sequence[str]]): Optionally you can provide the names of the solvers used in the experiment. Default to solver_i.
32	features_names (Optional[Sequence[str]]): Optionally you can provide the names of the features of the instances if used. Default to fi.
33	vars_names (Optional[Sequence[str]]): Optionally you can provide custom names for the variables of the instances. Default to vi.
34
35	Returns:
36	pd.DataFrame: _description_
37	"""
NEW 38	df = pd.DataFrame(	×
39	list(
40	i.to_series(
41	variables_names=vars_names,
42	features_names=features_names,
43	score_names=solvers_names,
44	)
45	for i in result.instances
46	)
47	)
NEW 48	df.insert(0, "target", result.target)	×
NEW 49	df.to_csv(filename, index=False)	×
NEW 50	return df	×

DIGNEA / DIGNEApy / 14240561723

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