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import subprocess
import tempfile
import textwrap
import unittest
from pathlib import Path
import numpy as np
from .. import PySRRegressor
from .params import DEFAULT_NITERATIONS, DEFAULT_POPULATIONS
class TestStartup(unittest.TestCase):
"""Various tests related to starting up PySR."""
def setUp(self):
# Using inspect,
# get default niterations from PySRRegressor, and double them:
self.default_test_kwargs = dict(
progress=False,
model_selection="accuracy",
niterations=DEFAULT_NITERATIONS * 2,
populations=DEFAULT_POPULATIONS * 2,
temp_equation_file=True,
)
self.rstate = np.random.RandomState(0)
self.X = self.rstate.randn(100, 5)
def test_warm_start_from_file(self):
"""Test that we can warm start in another process."""
with tempfile.TemporaryDirectory() as tmpdirname:
model = PySRRegressor(
**self.default_test_kwargs,
unary_operators=["cos"],
)
model.warm_start = True
model.temp_equation_file = False
model.equation_file = Path(tmpdirname) / "equations.csv"
model.deterministic = True
model.multithreading = False
model.random_state = 0
model.procs = 0
model.early_stop_condition = 1e-10
rstate = np.random.RandomState(0)
X = rstate.randn(100, 2)
y = np.cos(X[:, 0]) ** 2
model.fit(X, y)
best_loss = model.equations_.iloc[-1]["loss"]
# Save X and y to a file:
X_file = Path(tmpdirname) / "X.npy"
y_file = Path(tmpdirname) / "y.npy"
np.save(X_file, X)
np.save(y_file, y)
# Now, create a new process and warm start from the file:
result = subprocess.run(
[
"python",
"-c",
textwrap.dedent(
f"""
from pysr import PySRRegressor
import numpy as np
X = np.load("{X_file}")
y = np.load("{y_file}")
print("Loading model from file")
model = PySRRegressor.from_file("{model.equation_file}")
assert model.julia_state_ is not None
# Reset saved equations; should be loaded from state!
model.equations_ = None
model.equation_file_contents_ = None
model.warm_start = True
model.niterations = 0
model.max_evals = 0
model.ncycles_per_iteration = 0
model.fit(X, y)
best_loss = model.equations_.iloc[-1]["loss"]
assert best_loss <= {best_loss}
"""
),
],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
)
self.assertEqual(result.returncode, 0)
self.assertIn("Loading model from file", result.stdout.decode())
self.assertIn("Started!", result.stderr.decode())
def test_bad_startup_options(self):
warning_tests = [
dict(
code='import os; os.environ["PYTHON_JULIACALL_HANDLE_SIGNALS"] = "no"; import pysr',
msg="PYTHON_JULIACALL_HANDLE_SIGNALS environment variable is set",
),
dict(
code='import os; os.environ["JULIA_NUM_THREADS"] = "1"; import pysr',
msg="JULIA_NUM_THREADS environment variable is set",
),
dict(
code="import juliacall; import pysr",
msg="juliacall module already imported.",
),
dict(
code='import os; os.environ["PYSR_AUTOLOAD_EXTENSIONS"] = "foo"; import pysr',
msg="PYSR_AUTOLOAD_EXTENSIONS environment variable is set",
),
]
for warning_test in warning_tests:
result = subprocess.run(
["python", "-c", warning_test["code"]],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
)
self.assertIn(warning_test["msg"], result.stderr.decode())
def runtests():
suite = unittest.TestSuite()
loader = unittest.TestLoader()
suite.addTests(loader.loadTestsFromTestCase(TestStartup))
runner = unittest.TextTestRunner()
return runner.run(suite)
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