From 22ba0ce07e1fb11ff434701ad5e7794d0cbc3205 Mon Sep 17 00:00:00 2001 From: Takashi Matsuo Date: Wed, 24 Jun 2020 11:21:30 -0700 Subject: [PATCH] [dlp] fix: add retry count to mitigate the flake (#4152) fixes #4100 --- dlp/risk_test.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/dlp/risk_test.py b/dlp/risk_test.py index b9fc6c68337a..25d9575d4b0f 100644 --- a/dlp/risk_test.py +++ b/dlp/risk_test.py @@ -165,7 +165,7 @@ def bigquery_project(): bigquery_client.delete_dataset(dataset_ref, delete_contents=True) -@pytest.mark.flaky(max_runs=2, min_passes=1) +@pytest.mark.flaky(max_runs=3, min_passes=1) def test_numerical_risk_analysis( topic_id, subscription_id, bigquery_project, capsys ): @@ -184,7 +184,7 @@ def test_numerical_risk_analysis( assert "Value Range:" in out -@pytest.mark.flaky(max_runs=2, min_passes=1) +@pytest.mark.flaky(max_runs=3, min_passes=1) def test_categorical_risk_analysis_on_string_field( topic_id, subscription_id, bigquery_project, capsys ): @@ -203,7 +203,7 @@ def test_categorical_risk_analysis_on_string_field( assert "Most common value occurs" in out -@pytest.mark.flaky(max_runs=2, min_passes=1) +@pytest.mark.flaky(max_runs=3, min_passes=1) def test_categorical_risk_analysis_on_number_field( topic_id, subscription_id, bigquery_project, capsys ): @@ -222,7 +222,7 @@ def test_categorical_risk_analysis_on_number_field( assert "Most common value occurs" in out -@pytest.mark.flaky(max_runs=2, min_passes=1) +@pytest.mark.flaky(max_runs=3, min_passes=1) def test_k_anonymity_analysis_single_field( topic_id, subscription_id, bigquery_project, capsys ): @@ -242,7 +242,7 @@ def test_k_anonymity_analysis_single_field( assert "Class size:" in out -@pytest.mark.flaky(max_runs=2, min_passes=1) +@pytest.mark.flaky(max_runs=3, min_passes=1) def test_k_anonymity_analysis_multiple_fields( topic_id, subscription_id, bigquery_project, capsys ): @@ -262,7 +262,7 @@ def test_k_anonymity_analysis_multiple_fields( assert "Class size:" in out -@pytest.mark.flaky(max_runs=2, min_passes=1) +@pytest.mark.flaky(max_runs=3, min_passes=1) def test_l_diversity_analysis_single_field( topic_id, subscription_id, bigquery_project, capsys ): @@ -284,7 +284,7 @@ def test_l_diversity_analysis_single_field( assert "Sensitive value" in out -@pytest.mark.flaky(max_runs=2, min_passes=1) +@pytest.mark.flaky(max_runs=3, min_passes=1) def test_l_diversity_analysis_multiple_field( topic_id, subscription_id, bigquery_project, capsys ): @@ -306,7 +306,7 @@ def test_l_diversity_analysis_multiple_field( assert "Sensitive value" in out -@pytest.mark.flaky(max_runs=2, min_passes=1) +@pytest.mark.flaky(max_runs=3, min_passes=1) def test_k_map_estimate_analysis_single_field( topic_id, subscription_id, bigquery_project, capsys ): @@ -328,7 +328,7 @@ def test_k_map_estimate_analysis_single_field( assert "Values" in out -@pytest.mark.flaky(max_runs=2, min_passes=1) +@pytest.mark.flaky(max_runs=3, min_passes=1) def test_k_map_estimate_analysis_multiple_field( topic_id, subscription_id, bigquery_project, capsys ): @@ -350,7 +350,7 @@ def test_k_map_estimate_analysis_multiple_field( assert "Values" in out -@pytest.mark.flaky(max_runs=2, min_passes=1) +@pytest.mark.flaky(max_runs=3, min_passes=1) def test_k_map_estimate_analysis_quasi_ids_info_types_equal( topic_id, subscription_id, bigquery_project ):