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Python Test Runners – unittest-parallel

Unittest, Python’s built-in testing framework, does not natively support parallel test execution. To achieve parallel test execution with unittest, you can use third-party libraries like unittest-parallel. Below is an example of how you can use unittest-parallel to enable parallel execution of test cases with unittest.

# pip install unittest-parallel
# tests/test_parallel_execution.py
# In this code, we have a unittest test case class TestParallelExecution with three test methods representing tasks that can run concurrently.
import time
import unittest
class TestParallelExecution(unittest.TestCase):
def test_task_1(self):
"""Simulate task 1 that takes some time to complete."""
time.sleep(1) # Simulate a task that takes 1 second
self.assertTrue(True, "Task 1 completed successfully.")
def test_task_2(self):
"""Simulate task 2 that takes some time to complete."""
time.sleep(1) # Simulate a task that takes 1 second
self.assertTrue(True, "Task 2 completed successfully.")
def test_task_3(self):
"""Simulate task 3 that takes some time to complete."""
time.sleep(1) # Simulate a task that takes 1 second
self.assertTrue(True, "Task 3 completed successfully.")
# To run the tests in parallel using unittest-parallel, you can specify the number of worker processes to use with the -w option. For example, to run tests with 2 worker processes in parallel, you can run:
# unittest-parallel discover -s tests -p 'test_parallel_execution.py' -w 2
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