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Increase num_of_generarions in get_roots tests.
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This is to help decrease likelihood of failure due to lower processing times. Failures at these low values can make users incorrectly think the code was broken
This commit is contained in:
jono
2026-09-26 14:55:29 +00:00
parent dd0e42f68f
commit 182af45fdf
1 changed files with 4 additions and 4 deletions
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tests/test_polysolve.py
+4 -4
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@@ -139,7 +139,7 @@ def test_get_real_roots_numpy(quadratic_func):
Tests that the NumPy-based genetic algorithm approximates the roots correctly.
"""
# Using more generations for higher accuracy in testing
ga_opts = GA_Options(num_of_generations=50, data_size=200000, selection_percentile=0.66, root_precision=3)
ga_opts = GA_Options(num_of_generations=100, data_size=200000, selection_percentile=0.66, root_precision=3)
roots = quadratic_func.get_real_roots(ga_opts, use_cuda=False)
@@ -158,7 +158,7 @@ def test_get_real_roots_cuda(quadratic_func):
It will be skipped automatically if CuPy is not available.
"""
ga_opts = GA_Options(num_of_generations=50, data_size=200000, selection_percentile=0.66, root_precision=3)
ga_opts = GA_Options(num_of_generations=100, data_size=200000, selection_percentile=0.66, root_precision=3)
roots = quadratic_func.get_real_roots(ga_opts, use_cuda=True)
@@ -172,7 +172,7 @@ def test_get_roots_numpy(complex_func):
Tests that the NumPy-based genetic algorithm approximates the roots correctly.
"""
# Using more generations for higher accuracy in testing
ga_opts = GA_Options(num_of_generations=50, data_size=200000, selection_percentile=0.66, root_precision=3)
ga_opts = GA_Options(num_of_generations=100, data_size=200000, selection_percentile=0.66, root_precision=3)
roots = complex_func.get_roots(ga_opts, use_cuda=False)
@@ -191,7 +191,7 @@ def test_get_roots_cuda(complex_func):
It will be skipped automatically if CuPy is not available.
"""
ga_opts = GA_Options(num_of_generations=50, data_size=200000, selection_percentile=0.66, root_precision=3)
ga_opts = GA_Options(num_of_generations=100, data_size=200000, selection_percentile=0.66, root_precision=3)
roots = complex_func.get_roots(ga_opts, use_cuda=True)