ED_LRR/tests/conftest.py

117 lines
3.6 KiB
Python

import pytest
import random
import csv
from tempfile import mkstemp
from pathlib import Path
def get_mult(star_type):
if star_type.startswith("Neutron"):
return 4.0
if star_type.startswith("White Dwarf"):
return 1.5
return 1.0
def gen_pos(p_distrib):
p = []
for v in p_distrib:
p.append(random.triangular(-v, v))
return p
def make_stars(num, p_distrib):
star_types = [
"A (Blue-White) Star",
"A (Blue-White super giant) Star",
"B (Blue-White) Star",
"B (Blue-White super giant) Star",
"Black Hole",
"CJ Star",
"CN Star",
"C Star",
"F (White) Star",
"F (White super giant) Star",
"G (White-Yellow) Star",
"G (White-Yellow super giant) Star",
"Herbig Ae/Be Star",
"K (Yellow-Orange giant) Star",
"K (Yellow-Orange) Star",
"L (Brown dwarf) Star",
"M (Red dwarf) Star",
"M (Red giant) Star",
"M (Red super giant) Star",
"MS-type Star",
"Neutron Star",
"O (Blue-White) Star",
"star_type",
"S-type Star",
"Supermassive Black Hole",
"T (Brown dwarf) Star",
"T Tauri Star",
"White Dwarf (DAB) Star",
"White Dwarf (DA) Star",
"White Dwarf (DAV) Star",
"White Dwarf (DAZ) Star",
"White Dwarf (DB) Star",
"White Dwarf (DBV) Star",
"White Dwarf (DBZ) Star",
"White Dwarf (DC) Star",
"White Dwarf (DCV) Star",
"White Dwarf (DQ) Star",
"White Dwarf (D) Star",
"Wolf-Rayet C Star",
"Wolf-Rayet NC Star",
"Wolf-Rayet N Star",
"Wolf-Rayet O Star",
"Wolf-Rayet Star",
"Y (Brown dwarf) Star",
]
id_n = 0
while id_n < num:
name = "System {}".format(id_n)
body = "System {} Star {}".format(id_n, 0)
distance = 0
star_type = random.choice(star_types)
mult = get_mult(star_type)
x, y, z = gen_pos(p_distrib)
s_type = random.choice(star_types)
record = [id_n, s_type, name, body, mult, distance]
record.extend((x, y, z))
yield record
id_n += 1
for sub_id in range(random.randint(0, 4)):
star_type = random.choice(star_types)
mult = get_mult(star_type)
distance = random.randint(100, 10000)
body = "System {} Star {}".format(id_n, sub_id + 1)
s_type = random.choice(star_types)
record = [id_n, s_type, name, body, mult, distance]
record.extend((x, y, z))
yield record
id_n += 1
@pytest.fixture(scope="module")
def stars_path():
num_stars = int(1e7)
p_distrib = [5000, 5000, 500]
tmpfile, filename = mkstemp(suffix=".csv", prefix="stars_", text=True)
filename = Path(filename)
tmpfile = open(tmpfile, "w", encoding="utf-8")
fields = ["id", "star_type", "system", "body", "mult"]
fields += ["distance", "x", "y", "z"]
csv_writer = csv.DictWriter(tmpfile, fields)
rows = (dict(zip(fields, row)) for row in make_stars(num_stars, p_distrib))
csv_writer.writeheader()
csv_writer.writerows(rows)
tmpfile.close()
sys_ids = random.sample(range(num_stars), k=10)
rand_sys = list(map("System {}".format, sys_ids))
yield str(filename.resolve()), rand_sys
if filename.exists():
filename.unlink()
idx = filename.with_suffix(".idx")
if idx.exists():
idx.unlink()