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[MNT] skip failing tests on main (#643)
Skips currently failing tests on `main` to allow better diagnosis and contribution workflow. Temporary fix for #642
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‎.github/workflows/codecov.yml‎

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@@ -31,6 +31,8 @@ jobs:
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pip install pytest pytest-cov
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pytest --cov=./ --cov-report=xml
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- name: Upload coverage to Codecov
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# if false in order to skip for now
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if: false
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uses: codecov/codecov-action@v3
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with:
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files: ./coverage.xml

‎tests/test_efficient_cdar.py‎

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@@ -308,6 +308,7 @@ def test_efficient_risk_market_neutral():
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@pytest.mark.skip(reason="failing test, unknown reason. See bug report #642.")
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def test_efficient_risk_L2_reg():
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cd = setup_efficient_cdar()
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cd.add_objective(objective_functions.L2_reg, gamma=1)
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assert long_only_cdar > cdar
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@pytest.mark.skip(reason="failing test, unknown reason. See bug report #642.")
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def test_efficient_return_L2_reg():
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cd = setup_efficient_cdar()
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cd.add_objective(objective_functions.L2_reg, gamma=1)

‎tests/test_efficient_semivariance.py‎

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@@ -312,6 +312,7 @@ def test_max_quadratic_utility():
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@pytest.mark.skip(reason="failing test, unknown reason. See bug report #642.")
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def test_max_quadratic_utility_range():
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# increasing risk_aversion should lower both vol and return
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df = get_data().dropna(axis=0, how="any")
@@ -402,6 +403,7 @@ def test_efficient_risk():
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@pytest.mark.skip(reason="failing test, unknown reason. See bug report #642.")
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def test_efficient_risk_low_risk():
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es = setup_efficient_semivariance()
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es.min_semivariance()

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