Create deterministic and reliable test cases by following these guidelines:

1. Use hardcoded values instead of random data to ensure reproducibility: ```python

   Bad

   boundaries = [randint(0, 1000)]

Good

boundaries = [500] # Fixed, predictable value

2. For timing-sensitive tests:
- Mark tests as flaky if they depend on timing:
```python
@mark.flaky(reruns=3, reruns_delay=1)
def test_timing_dependent():
    # Test implementation

• Use precise assertions for time comparisons: ```python

  Bad

  self.assertTrue((after_export - before_export) < 1e9)

Good

self.assertLess(after_export - before_export, 1e9)

or

self.assertAlmostEqual(after_export - before_export, expected, delta=1e9)

3. Skip platform-specific tests rather than adding workarounds:
```python
@mark.skipif(
    system() == "Windows",
    reason="Tests fail due to Windows time_ns resolution limitations"
)
def test_platform_specific():
    # Test implementation

These practices ensure tests are reproducible, maintainable, and provide clear failure messages when issues occur.