Python 3.14 support #26
@@ -139,7 +139,7 @@ def test_get_real_roots_numpy(quadratic_func):
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Tests that the NumPy-based genetic algorithm approximates the roots correctly.
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Tests that the NumPy-based genetic algorithm approximates the roots correctly.
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"""
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"""
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# Using more generations for higher accuracy in testing
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# Using more generations for higher accuracy in testing
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ga_opts = GA_Options(num_of_generations=50, data_size=200000, selection_percentile=0.66, root_precision=3)
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ga_opts = GA_Options(num_of_generations=100, data_size=200000, selection_percentile=0.66, root_precision=3)
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roots = quadratic_func.get_real_roots(ga_opts, use_cuda=False)
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roots = quadratic_func.get_real_roots(ga_opts, use_cuda=False)
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@@ -158,7 +158,7 @@ def test_get_real_roots_cuda(quadratic_func):
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It will be skipped automatically if CuPy is not available.
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It will be skipped automatically if CuPy is not available.
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"""
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"""
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ga_opts = GA_Options(num_of_generations=50, data_size=200000, selection_percentile=0.66, root_precision=3)
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ga_opts = GA_Options(num_of_generations=100, data_size=200000, selection_percentile=0.66, root_precision=3)
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roots = quadratic_func.get_real_roots(ga_opts, use_cuda=True)
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roots = quadratic_func.get_real_roots(ga_opts, use_cuda=True)
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@@ -172,7 +172,7 @@ def test_get_roots_numpy(complex_func):
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Tests that the NumPy-based genetic algorithm approximates the roots correctly.
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Tests that the NumPy-based genetic algorithm approximates the roots correctly.
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"""
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"""
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# Using more generations for higher accuracy in testing
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# Using more generations for higher accuracy in testing
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ga_opts = GA_Options(num_of_generations=50, data_size=200000, selection_percentile=0.66, root_precision=3)
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ga_opts = GA_Options(num_of_generations=100, data_size=200000, selection_percentile=0.66, root_precision=3)
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roots = complex_func.get_roots(ga_opts, use_cuda=False)
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roots = complex_func.get_roots(ga_opts, use_cuda=False)
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@@ -191,7 +191,7 @@ def test_get_roots_cuda(complex_func):
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It will be skipped automatically if CuPy is not available.
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It will be skipped automatically if CuPy is not available.
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"""
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"""
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ga_opts = GA_Options(num_of_generations=50, data_size=200000, selection_percentile=0.66, root_precision=3)
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ga_opts = GA_Options(num_of_generations=100, data_size=200000, selection_percentile=0.66, root_precision=3)
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roots = complex_func.get_roots(ga_opts, use_cuda=True)
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roots = complex_func.get_roots(ga_opts, use_cuda=True)
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