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Test with Executorlib #38
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WalkthroughA new test method, Changes
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Actionable comments posted: 1
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📒 Files selected for processing (1)
- tests/test_conda_function.py (2 hunks)
🔇 Additional comments (1)
tests/test_conda_function.py (1)
6-6
: LGTM: New import statement is correctly placed and necessary.The import of
Executor
fromexecutorlib
is correctly placed within the try-except block, which is good for error handling. This import is necessary for the new test methodtest_conda_function_with_executorlib
.
def test_conda_function_with_executorlib(self): | ||
cloudpickle_register(ind=1) | ||
with Executor(max_cores=1, backend="local", hostname_localhost=True) as exe: | ||
future = exe.submit(add_function, 1, 2) | ||
number, prefix = future.result() | ||
self.assertEqual(prefix[-5:], "py312") | ||
self.assertEqual(number, 3) |
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🛠️ Refactor suggestion
Consider enhancing the executor test for more comprehensive coverage.
The new test method test_conda_function_with_executorlib
is a good addition to verify the functionality with executorlib
. However, consider the following suggestions to make it more robust:
-
Test with multiple cores: Instead of
max_cores=1
, consider testing with multiple cores to ensure the function works correctly in a multi-core environment. -
Test with different backends: The current test uses
backend="local"
. Consider parameterizing the test to run with different backends if applicable. -
Add error handling and timeout: Implement a timeout for
future.result()
to prevent the test from hanging indefinitely. Also, consider adding error handling to check for specific exceptions that might be thrown by the executor. -
Test concurrency: If relevant, consider submitting multiple functions concurrently to test the executor's ability to handle parallel executions.
Here's an example of how you might implement these suggestions:
import pytest
from concurrent.futures import TimeoutError
@pytest.mark.parametrize("max_cores,backend", [(1, "local"), (2, "local"), (1, "remote")])
def test_conda_function_with_executorlib(self, max_cores, backend):
cloudpickle_register(ind=1)
with Executor(max_cores=max_cores, backend=backend, hostname_localhost=True) as exe:
future1 = exe.submit(add_function, 1, 2)
future2 = exe.submit(add_function, 3, 4)
try:
number1, prefix1 = future1.result(timeout=10)
number2, prefix2 = future2.result(timeout=10)
except TimeoutError:
self.fail("Executor timed out")
self.assertEqual(prefix1[-5:], "py312")
self.assertEqual(prefix2[-5:], "py312")
self.assertEqual(number1, 3)
self.assertEqual(number2, 7)
This enhanced version tests multiple scenarios and provides better error handling and timeout management.
Summary by CodeRabbit
add_function
using theExecutor
class, validating output and correctness.