ai-content-maker/.venv/Lib/site-packages/numba/tests/test_unpickle_without_modul...

50 lines
1.6 KiB
Python

import unittest
import pickle
import sys
import tempfile
from pathlib import Path
class TestUnpickleDeletedModule(unittest.TestCase):
def test_loading_pickle_with_no_module(self):
"""Create a module that uses Numba, import a function from it.
Then delete the module and pickle the function. The function
should load from the pickle without a problem.
Note - This is a simplified version of how Numba might be used
on a distributed system using e.g. dask distributed. With the
pickle being sent to the worker but not the original module.
"""
# Source code for temporary module we will make
source = "\n".join(
[
"from numba import vectorize",
"@vectorize(['float64(float64)'])",
"def inc1(x):",
" return x + 1",
]
)
# Create a temporary directory and add it to path.
modname = "tmp_module"
with tempfile.TemporaryDirectory() as tmp_dir:
sys.path.append(tmp_dir)
# Create tmp_module.py in there with our source code above.
filename = Path(f"{tmp_dir}/{modname}.py")
f = open(filename, "a")
f.write(source)
f.close()
# Import the temporary module before file is deleted
from tmp_module import inc1
# Remove from imported libraries
del sys.modules[modname]
# Pickle function and assert that it loads correctly
pkl = pickle.dumps(inc1)
f = pickle.loads(pkl)
self.assertEqual(f(2), 3)