Improve Test Coverage and Refactor Test for mslib.utils.coordinate #2596

saiabhinav001 · 2025-01-06T07:32:19Z

This PR enhances the test suite for the mslib.utils.coordinate module.

Key Updates:

Refactored and added new test cases for functions in the coordinate module.
Used pytest.mark.parametrize to simplify and expand parameterized testing.
Improved edge case coverage for distance, projection, and angle calculations.
Enhanced test readability and maintainability with detailed docstrings.
Validated linear and great circle path generation for lat/lon points.

Purpose of PR?:

Fixes #

Does this PR introduce a breaking change?
This PR does not introduce any breaking changes.

If the changes in this PR are manually verified, list down the scenarios covered::

If manually verified, the following scenarios were tested:

Distance calculations across diverse lat/lon coordinates.
Angle normalization and edge cases, including negative and large angles.
Path generation for both linear and great circle connections with varied numpoints.
Projection parameter retrieval for valid and invalid projection strings.

Additional information for reviewer? :
This PR is an independent contribution and does not depend on or continue from previous PRs.

Does this PR results in some Documentation changes?
No documentation changes are required.

Checklist:

Bug fix. Fixes
New feature (Non-API breaking changes that adds functionality)
PR Title follows the convention of <type>: <subject>
Commit has unit tests

Add comprehensive test suite for `mslib.utils.coordinate` module - Refactored and added new test cases for functions in `coordinate` module. - Used `pytest.mark.parametrize` for parameterized testing. - Improved edge case coverage for distance, projection, and angle calculations. - Enhanced test readability and maintainability with detailed docstrings. - Validated linear and great circle path generation for lat/lon points.

ReimarBauer · 2025-01-08T14:50:31Z

tests/_test_utils/test_coordinate.py

+
+    @pytest.mark.parametrize("ref_lats, ref_lons, numpoints", [
+        ([0, 10], [0, 0], 2),
+        ([0, 10], [0, 0], 3),


the second one had before ([0, 0], [0, 10] ,3)

ReimarBauer · 2025-01-08T14:51:44Z

tests/_test_utils/test_coordinate.py

-        assert all(np.asarray(lons) == [0, 5, 10])
+                                              numpoints=numpoints, connection="greatcircle")
+        assert len(lats) == numpoints
+        assert len(lons) == numpoints


We should also check for the expected value, like in assert all(np.asarray(lons) == [0, 5, 10])

tests/_test_utils/test_coordinate.py

ReimarBauer

Hi @saiabhinav001
that makes it much better readable, thanks!

while the module we test here has no class definition we use a class level organization as namespace grouping. When test_linear maybe get named test_latlon_points_linear and the other test_latlon_points_greatcircle we maybe can remove all the grouping class names, what do you think?

saiabhinav001

Hi @ReimarBauer
That's a great suggestion! Renaming the test functions makes them more descriptive, and removing the class-level grouping could simplify the structure.

I’ve updated the code by renaming test_linear to test_latlon_points_linear and test_greatcircle to test_latlon_points_greatcircle. I also removed the class-level groupings for simplicity and better readability. Let me know if there’s anything else to adjust!

ReimarBauer · 2025-01-09T07:42:01Z

Hi @saiabhinav001 Maybe a push to the repo is missing? I do see the class names here and also there is a lint failure.

saiabhinav001

Hi @ReimarBauer, I ensured there were no lint failures and pushed the repo.

ReimarBauer · 2025-01-11T19:41:11Z

@saiabhinav001 why do you have closed it?

ReimarBauer · 2025-01-13T10:55:37Z

interesting how pytest.approx does this.

FAILED tests/_test_utils/test_coordinate.py::TestAngles::test_rotate_point[point5-45-rotated_point5] - assert (-1.767766952...7669529663689) == approx((-1.76...78 ± 1.8e-06))
  
  comparison failed. Mismatched elements: 2 / 2:
  Max absolute difference: 3.3047033631383727e-05
  Max relative difference: 1.8694225263081064e-05
  Index | Obtained            | Expected         
  0     | -1.7677669529663687 | -1.7678 ± 1.8e-06
  1     | 1.7677669529663689  | 1.7678 ± 1.8e-06
====== 1 failed, 588 passed, 13 skipped, 34 warnings in 470.39s (0:07:50) ======
ERROR conda.cli.main_run:execute(124): `conda run xvfb-run pytest -v -n 6 --dist loadfile --max-worker-restart 4 --durations=20 --cov=mslib tests` failed. (See above for error)

ReimarBauer · 2025-01-13T10:59:14Z

tests/_test_utils/test_coordinate.py

+    for numpoints, connection in [(100, "linear"), (100, "greatcircle")]:
+        result = coordinate.path_points(lats, lons, numpoints, times=times, connection=connection)
+        assert all(len(_x) == numpoints for _x in result)
+        for i in range(3):


From the description of eric:

https://pytest-with-eric.com/pytest-advanced/pytest-approx/#Example-Code-To-Test-Pytest-Approx

I would expect:

assert result[i][0] == pytest.approx(ref[i][0]) assert result[i][-1] == pytest.approx(ref[i][-1])

ReimarBauer · 2025-01-13T11:20:35Z

tests/_test_utils/test_coordinate.py

+        """
+        Test rotating points around the origin.
+        """
+        assert coordinate.rotate_point(point, angle) == pytest.approx(rotated_point)


looks like you maybe found a bug by the ([0.0, 2.5], 45, (-1.7678, 1.7678)) example or the example has a problem.

How did you got to the -1.7678, 1.7678?

ReimarBauer · 2025-01-13T11:40:28Z

interesting how pytest.approx does this.

FAILED tests/_test_utils/test_coordinate.py::TestAngles::test_rotate_point[point5-45-rotated_point5] - assert (-1.767766952...7669529663689) == approx((-1.76...78 ± 1.8e-06))
  
  comparison failed. Mismatched elements: 2 / 2:
  Max absolute difference: 3.3047033631383727e-05
  Max relative difference: 1.8694225263081064e-05
  Index | Obtained            | Expected         
  0     | -1.7677669529663687 | -1.7678 ± 1.8e-06
  1     | 1.7677669529663689  | 1.7678 ± 1.8e-06
====== 1 failed, 588 passed, 13 skipped, 34 warnings in 470.39s (0:07:50) ======
ERROR conda.cli.main_run:execute(124): `conda run xvfb-run pytest -v -n 6 --dist loadfile --max-worker-restart 4 --durations=20 --cov=mslib tests` failed. (See above for error)

The test needs more digits, "pytest.approx considers the small variations due to floating-point imprecision."
Try with 7 digits again

ReimarBauer · 2025-01-15T07:49:51Z

@saiabhinav001 Hi, have you seen my suggestions? Please have a look.

saiabhinav001 · 2025-01-15T17:13:48Z

Hi @ReimarBauer,

Thank you for your valuable feedback and suggestions.
Regarding the issue with the pytest.approx comparison, I understand that floating-point precision can sometimes lead to small mismatches in values, as seen in this case.

The updated code for the rotate_point test:

    point = [0.0, 2.5]
    angle = 45
    rotated_point = (-1.7678, 1.7678)

    # Use pytest.approx with the desired tolerance
    assert coordinate.rotate_point(point, angle) == pytest.approx(rotated_point, rel=1e-6, abs=1e-6)

Please let me know if you have any further suggestions or questions.

saiabhinav001 · 2025-01-15T17:22:17Z

Hi @ReimarBauer,

Thank you for pointing this out!

I calculated the expected rotated point (-1.7678, 1.7678) using the standard 2D rotation formula:

x' = x * cos(θ) - y * sin(θ)  
y' = x * sin(θ) + y * cos(θ)

For the point [0.0, 2.5] rotated by 45°, the calculation is:

x' = 0 * cos(45°) - 2.5 * sin(45°) = -1.7678  
y' = 0 * sin(45°) + 2.5 * cos(45°) = 1.7678

This matches the expected result. However, I agree that using pytest.approx with more precision would better handle floating-point discrepancies. I'll update the test accordingly.

Please let me know if you'd like any further changes!

Thanks again for your feedback.

ReimarBauer · 2025-01-15T19:36:44Z

tests/_test_utils/test_coordinate.py

 import logging
 import datetime

 import numpy as np
-import pytest
+import pytest # type: ignore



this type: ignore is new here. What is it doing, just my interests in it. What is the reason for this?

the linter will likly want two blanks to seperate the comment

I think that is not good to add it here. When we have type related issues, we won't see that now, correnct?

when we have type related problems indicated by pytest we have to review again.

whitespace findings from the linter

ReimarBauer · 2025-01-22T08:20:48Z

the codespell news are addressed in #2599

on github we need more digital places comparison failed. Mismatched elements: 2 / 2: Max absolute difference: 3.3047033631383727e-05 Max relative difference: 1.8694225263081064e-05 Index | Obtained | Expected 0 | -1.7677669529663687 | -1.7678 ± 1.8e-06 1 | 1.7677669529663689 | 1.7678 ± 1.8e-06

joernu76 · 2025-01-23T07:48:05Z

tests/_test_utils/test_coordinate.py

@@ -80,10 +80,12 @@ def test_normalize_angle(self):
        assert coordinate.fix_angle(420) == 60

    def test_rotate_point(self):
-        assert coordinate.rotate_point([0, 0], 0) == (0.0, 0.0)


I do not see why the old tests should be removed. They provide coverage for corner cases and have no issues with decimal points. The new test is a good addition, though.

ReimarBauer · 2025-01-24T07:23:55Z

@saiabhinav001 please have a look on the request by @joernu76

saiabhinav001

Hi @joernu76,
Thank you for highlighting the importance of retaining the old test cases. I have restored the original test cases alongside the new ones to ensure comprehensive coverage of corner cases. The combination of old and new tests provides a robust validation of the functionality while addressing potential edge cases.

saiabhinav001

Hi @ReimarBauer,
The # type: ignore comment was unnecessary and has been removed. I also resolved other linting issues, such as duplicate imports and missing blank lines, to ensure compliance with formatting

saiabhinav001 · 2025-02-06T15:35:56Z

@saiabhinav001 please have a look on the request by @joernu76

Hi @ReimarBauer,

Thank you for pointing this out. I’ve reviewed @joernu76's feedback and addressed their concern regarding retaining the old tests.

I have retained the original test cases alongside the new ones to ensure comprehensive test coverage. This ensures that both general scenarios and edge cases are thoroughly validated.

ReimarBauer requested review from matrss and joernu76 January 6, 2025 07:42

ReimarBauer reviewed Jan 8, 2025

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ReimarBauer changed the title ~~Improve Test Coverage and Refactor for mslib.utils.coordinate~~ Improve Test Coverage and Refactor Test for mslib.utils.coordinate Jan 9, 2025

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ReimarBauer added 2 commits January 22, 2025 08:19

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when we have type related problems indicated by pytest we have to review again.

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0573718

whitespace findings from the linter

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ReimarBauer requested a review from joernu76 February 8, 2025 12:30

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Improve Test Coverage and Refactor Test for mslib.utils.coordinate #2596

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Improve Test Coverage and Refactor Test for mslib.utils.coordinate #2596

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