20975627625

Committed 13 Jan 2026 10:57PM UTC coverage: 95.575%. First build

Build # 20975627625

Build Type

Pull #49

github

Committed by

cylammarco

Commit Message

fixed extrapolation issue

Pull Request Pull Request #49: v0.0.13

Run Details

299 of 337 new or added lines in 11 files covered. (88.72%)

3391 of 3548 relevant lines covered (95.57%)

1.91 hits per line

Source File
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97.56

/test/test_datafiles_coverage.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

import os
import re
import numpy as np
import pytest
from importlib.resources import files


def _repo_path(*parts):
    return str(files("WDPhotTools").joinpath(*parts))


def _load_numeric_table(path, delimiter=None):
    num_re = re.compile(r"[+\-]?\d*\.?\d+(?:[eE][+\-]?\d+)?")
    rows = []
    with open(path, "r", encoding="utf-8", errors="ignore") as f:
        for i in f:
            if re.match(r"^[=\-\s]*$", i):
                continue
            nums = [float(m.group(0)) for m in num_re.finditer(i)]
            if len(nums) >= 2:
                rows.append(nums)
    if not rows:
        raise AssertionError(f"No numeric lines detected in {path}")
    lengths = {}
    for r in rows:
        lengths[len(r)] = lengths.get(len(r), 0) + 1
    target_len = max(lengths, key=lengths.get)
    filtered = [r[:target_len] for r in rows if len(r) >= target_len]
    return np.array(filtered, dtype=float)


@pytest.mark.parametrize(
    "fname",
    [
        # ms_lifetime CSVs
        os.path.join(_repo_path("ms_lifetime"), f)
        for f in os.listdir(_repo_path("ms_lifetime"))
        if f.endswith(".csv")
    ],
)
def test_ms_lifetime_csv_loads(fname):
    dt = np.loadtxt(fname, delimiter=",")
    assert dt.ndim == 2 and dt.shape[0] > 0 and dt.shape[1] > 0


@pytest.mark.parametrize(
    "fname",
    [
        # extinction CSVs
        os.path.join(_repo_path("extinction"), f)
        for f in os.listdir(_repo_path("extinction"))
        if f.endswith(".csv")
    ],
)
def test_extinction_csv_loads(fname):
    dt = np.loadtxt(fname, delimiter=",")
    assert dt.ndim == 2 and dt.shape[0] > 0 and dt.shape[1] > 0


@pytest.mark.parametrize(
    "fname",
    [
        # wd_cooling bedard20 txts
        os.path.join(_repo_path("wd_cooling", "bedard20"), f)
        for f in os.listdir(_repo_path("wd_cooling", "bedard20"))
        if f.endswith(".txt")
    ],
)
def test_wd_cooling_bedard20_txt_loads(fname):
    dt = _load_numeric_table(fname)
    assert dt.ndim == 2 and dt.shape[0] > 0 and dt.shape[1] > 0


@pytest.mark.parametrize(
    "fname",
    [
        # wd_photometry tables
        os.path.join(_repo_path("wd_photometry"), f)
        for f in os.listdir(_repo_path("wd_photometry"))
        if f.endswith(".txt")
    ],
)
def test_wd_photometry_txt_loads(fname):
    dt = _load_numeric_table(fname)
    assert dt.ndim == 2 and dt.shape[0] > 0 and dt.shape[1] > 0

1	#!/usr/bin/env python3
2	# -- coding: utf-8 --
3
4	import os	2✔
5	import re	2✔
6	import numpy as np	2✔
7	import pytest	2✔
8	from importlib.resources import files	2✔
9
10
11	def _repo_path(*parts):	2✔
12	return str(files("WDPhotTools").joinpath(*parts))	2✔
13
14
15	def _load_numeric_table(path, delimiter=None):	2✔
16	num_re = re.compile(r"[+\-]?\d*\.?\d+(?:[eE][+\-]?\d+)?")	2✔
17	rows = []	2✔
18	with open(path, "r", encoding="utf-8", errors="ignore") as f:	2✔
19	for i in f:	2✔
20	if re.match(r"^[=\-\s]*$", i):	2✔
21	continue	2✔
22	nums = [float(m.group(0)) for m in num_re.finditer(i)]	2✔
23	if len(nums) >= 2:	2✔
24	rows.append(nums)	2✔
25	if not rows:	2✔
NEW 26	raise AssertionError(f"No numeric lines detected in {path}")	×
27	lengths = {}	2✔
28	for r in rows:	2✔
29	lengths[len(r)] = lengths.get(len(r), 0) + 1	2✔
30	target_len = max(lengths, key=lengths.get)	2✔
31	filtered = [r[:target_len] for r in rows if len(r) >= target_len]	2✔
32	return np.array(filtered, dtype=float)	2✔
33
34
35	@pytest.mark.parametrize(	2✔
36	"fname",
37	[
38	# ms_lifetime CSVs
39	os.path.join(_repo_path("ms_lifetime"), f)
40	for f in os.listdir(_repo_path("ms_lifetime"))
41	if f.endswith(".csv")
42	],
43	)
44	def test_ms_lifetime_csv_loads(fname):	2✔
45	dt = np.loadtxt(fname, delimiter=",")	2✔
46	assert dt.ndim == 2 and dt.shape[0] > 0 and dt.shape[1] > 0	2✔
47
48
49	@pytest.mark.parametrize(	2✔
50	"fname",
51	[
52	# extinction CSVs
53	os.path.join(_repo_path("extinction"), f)
54	for f in os.listdir(_repo_path("extinction"))
55	if f.endswith(".csv")
56	],
57	)
58	def test_extinction_csv_loads(fname):	2✔
59	dt = np.loadtxt(fname, delimiter=",")	2✔
60	assert dt.ndim == 2 and dt.shape[0] > 0 and dt.shape[1] > 0	2✔
61
62
63	@pytest.mark.parametrize(	2✔
64	"fname",
65	[
66	# wd_cooling bedard20 txts
67	os.path.join(_repo_path("wd_cooling", "bedard20"), f)
68	for f in os.listdir(_repo_path("wd_cooling", "bedard20"))
69	if f.endswith(".txt")
70	],
71	)
72	def test_wd_cooling_bedard20_txt_loads(fname):	2✔
73	dt = _load_numeric_table(fname)	2✔
74	assert dt.ndim == 2 and dt.shape[0] > 0 and dt.shape[1] > 0	2✔
75
76
77	@pytest.mark.parametrize(	2✔
78	"fname",
79	[
80	# wd_photometry tables
81	os.path.join(_repo_path("wd_photometry"), f)
82	for f in os.listdir(_repo_path("wd_photometry"))
83	if f.endswith(".txt")
84	],
85	)
86	def test_wd_photometry_txt_loads(fname):	2✔
87	dt = _load_numeric_table(fname)	2✔
88	assert dt.ndim == 2 and dt.shape[0] > 0 and dt.shape[1] > 0	2✔

cylammarco / WDPhotTools / 20975627625

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