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infra: unmark more flaky integ tests #2164

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Feb 19, 2021
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12 changes: 0 additions & 12 deletions tests/integ/test_airflow_config.py
Original file line number Diff line number Diff line change
Expand Up @@ -60,7 +60,6 @@
SINGLE_INSTANCE_COUNT = 1


@pytest.mark.canary_quick
def test_byo_airflow_config_uploads_data_source_to_s3_when_inputs_provided(
sagemaker_session, cpu_instance_type
):
Expand Down Expand Up @@ -92,7 +91,6 @@ def test_byo_airflow_config_uploads_data_source_to_s3_when_inputs_provided(
)


@pytest.mark.canary_quick
def test_kmeans_airflow_config_uploads_data_source_to_s3(sagemaker_session, cpu_instance_type):
with timeout(seconds=AIRFLOW_CONFIG_TIMEOUT_IN_SECONDS):
kmeans = KMeans(
Expand Down Expand Up @@ -153,7 +151,6 @@ def test_fm_airflow_config_uploads_data_source_to_s3(sagemaker_session, cpu_inst
)


@pytest.mark.canary_quick
def test_ipinsights_airflow_config_uploads_data_source_to_s3(sagemaker_session, cpu_instance_type):
with timeout(seconds=AIRFLOW_CONFIG_TIMEOUT_IN_SECONDS):
data_path = os.path.join(DATA_DIR, "ipinsights")
Expand Down Expand Up @@ -214,7 +211,6 @@ def test_knn_airflow_config_uploads_data_source_to_s3(sagemaker_session, cpu_ins
tests.integ.test_region() in tests.integ.NO_LDA_REGIONS,
reason="LDA image is not supported in certain regions",
)
@pytest.mark.canary_quick
def test_lda_airflow_config_uploads_data_source_to_s3(sagemaker_session, cpu_instance_type):
with timeout(seconds=AIRFLOW_CONFIG_TIMEOUT_IN_SECONDS):
data_path = os.path.join(DATA_DIR, "lda")
Expand Down Expand Up @@ -247,7 +243,6 @@ def test_lda_airflow_config_uploads_data_source_to_s3(sagemaker_session, cpu_ins
)


@pytest.mark.canary_quick
def test_linearlearner_airflow_config_uploads_data_source_to_s3(
sagemaker_session, cpu_instance_type
):
Expand Down Expand Up @@ -312,7 +307,6 @@ def test_linearlearner_airflow_config_uploads_data_source_to_s3(
)


@pytest.mark.canary_quick
def test_ntm_airflow_config_uploads_data_source_to_s3(sagemaker_session, cpu_instance_type):
with timeout(seconds=AIRFLOW_CONFIG_TIMEOUT_IN_SECONDS):
data_path = os.path.join(DATA_DIR, "ntm")
Expand Down Expand Up @@ -346,7 +340,6 @@ def test_ntm_airflow_config_uploads_data_source_to_s3(sagemaker_session, cpu_ins
)


@pytest.mark.canary_quick
def test_pca_airflow_config_uploads_data_source_to_s3(sagemaker_session, cpu_instance_type):
with timeout(seconds=AIRFLOW_CONFIG_TIMEOUT_IN_SECONDS):
pca = PCA(
Expand All @@ -373,7 +366,6 @@ def test_pca_airflow_config_uploads_data_source_to_s3(sagemaker_session, cpu_ins
)


@pytest.mark.canary_quick
def test_rcf_airflow_config_uploads_data_source_to_s3(sagemaker_session, cpu_instance_type):
with timeout(seconds=AIRFLOW_CONFIG_TIMEOUT_IN_SECONDS):
# Generate a thousand 14-dimensional datapoints.
Expand Down Expand Up @@ -439,7 +431,6 @@ def test_chainer_airflow_config_uploads_data_source_to_s3(
)


@pytest.mark.canary_quick
def test_mxnet_airflow_config_uploads_data_source_to_s3(
sagemaker_session,
cpu_instance_type,
Expand Down Expand Up @@ -514,7 +505,6 @@ def test_sklearn_airflow_config_uploads_data_source_to_s3(
)


@pytest.mark.canary_quick
def test_tf_airflow_config_uploads_data_source_to_s3(
sagemaker_session,
cpu_instance_type,
Expand Down Expand Up @@ -548,7 +538,6 @@ def test_tf_airflow_config_uploads_data_source_to_s3(
)


@pytest.mark.canary_quick
def test_xgboost_airflow_config_uploads_data_source_to_s3(
sagemaker_session, cpu_instance_type, xgboost_latest_version
):
Expand All @@ -574,7 +563,6 @@ def test_xgboost_airflow_config_uploads_data_source_to_s3(
)


@pytest.mark.canary_quick
def test_pytorch_airflow_config_uploads_data_source_to_s3_when_inputs_not_provided(
sagemaker_session,
cpu_instance_type,
Expand Down
1 change: 0 additions & 1 deletion tests/integ/test_tuner_multi_algo.py
Original file line number Diff line number Diff line change
Expand Up @@ -97,7 +97,6 @@ def estimator_knn(sagemaker_session, cpu_instance_type):
return estimator


@pytest.mark.canary_quick
def test_multi_estimator_tuning(
sagemaker_session, estimator_fm, estimator_knn, data_set, cpu_instance_type
):
Expand Down