galileo-galilei__kedro-mlflow-585

/opt/receipts-07f4ecba78e4476ab176c7fcb3d2c7f9/bin/busybox sh -c 'mkdir -p /kedro-mlflow/kedro_mlflow/pipeline && cp /opt/receipts-07f4ecba78e4476ab176c7fcb3d2c7f9/incoming/9c71f5c2cfaa14d2a8bb633a0ed150457e45fd4e1703e0bc6e18243f11fc61d9 /kedro-mlflow/kedro_mlflow/pipeline/pipeline_ml.py'

/opt/receipts-5028ce4cfdec43f898c4c66b796ed1f3/bin/busybox sh -c 'mkdir -p /kedro-mlflow/kedro_mlflow/pipeline && cp /opt/receipts-5028ce4cfdec43f898c4c66b796ed1f3/incoming/69a52c1b548ac6c34002236ed4af22e84e99acacb9bc8abaa198bb49749b951f /kedro-mlflow/kedro_mlflow/pipeline/pipeline_ml.py'

grep -n "kedro-viz.*should never be" tests/pipeline/test_pipeline_ml.py

/opt/receipts-144811c3494347fd82edd8a5f38e77c8/bin/busybox sh -c 'mkdir -p /kedro-mlflow/kedro_mlflow/pipeline && cp /opt/receipts-144811c3494347fd82edd8a5f38e77c8/incoming/3b186a0b69f5ed2062c353b8ec51ccb9f245aae1651da477bbb0ce94c49d346a /kedro-mlflow/kedro_mlflow/pipeline/pipeline_ml.py'

/opt/receipts-5e4e502010464ff7831ced896cafb463/bin/busybox sh -c 'mkdir -p /kedro-mlflow/kedro_mlflow/pipeline && cp /opt/receipts-5e4e502010464ff7831ced896cafb463/incoming/6c139b9769fdaa9d4002be9b26f59b36df7eb122587e43be57ad0abfaadc4c06 /kedro-mlflow/kedro_mlflow/pipeline/pipeline_ml.py'

/opt/receipts-d7ee14dea30b435a9aadbaa0cc7115fa/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-d7ee14dea30b435a9aadbaa0cc7115fa/receipts_pytest.py tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction -v --tb=short -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-14.xml

python -c "
import sys
sys.path.insert(0, '.')
from tests.pipeline.test_pipeline_ml import test_pipeline_ml_only_nodes_with_namespace, test_pipeline_ml_substraction
import pytest

# Mock fixtures we need
class MockPipelineMLWithNamespace:
    def __init__(self):
        from kedro.pipeline import Pipeline, node
        training = Pipeline([node(lambda x: x, inputs='data', outputs='model', namespace='training')])
        inference = Pipeline([node(lambda x, y: x*y, inputs=['model', 'data'], outputs='prediction')])
        self.training = training
        self.inference = inference
        self.input_name = 'data'
        
    def only_nodes_with_namespace(self, node_namespace):
        return self.training.only_nodes_with_namespace(node_namespace)
        
    def __sub__(self, other):
        return self.training - other

try:
    # Test 1
    mock_obj = MockPipelineMLWithNamespace()
    result = mock_obj.only_nodes_with_namespace('training')
    print('Test 1 PASSED: only_nodes_with_namespace returned:', type(result))
    
    # Test 2
    result2 = mock_obj - Pipeline([node(lambda x: x, inputs='data', outputs='other')])
    print('Test 2 PASSED: __sub__ returned:', type(result2))
    
    print('Both core functionality tests work!')
except Exception as e:
    print('ERROR:', e)
    import traceback
    traceback.print_exc()
"

/opt/receipts-98a3b79eb057426dbc7d4d06dc866928/bin/busybox sh -c 'mkdir -p /tmp && cp /opt/receipts-98a3b79eb057426dbc7d4d06dc866928/incoming/3a58c3b45ab0248ba2c360947b0eb7b36c3839a73179d6c113af995d8c578e0b /tmp/verify_fix.py'

python /tmp/verify_fix.py

/opt/receipts-f98aae55e6b741a79e2d51acf38a11ab/bin/busybox sh -c 'mkdir -p /tmp && cp /opt/receipts-f98aae55e6b741a79e2d51acf38a11ab/incoming/6941e4b4a7ec30685496844fb4e71655f3d825366093468bcc7e7b5fb1369ae7 /tmp/verify_fix2.py'

python /tmp/verify_fix2.py

/opt/receipts-6b595074bcc546299bb9624bc139f4ea/bin/busybox sh -c 'mkdir -p /tmp && cp /opt/receipts-6b595074bcc546299bb9624bc139f4ea/incoming/51b637fd485856f779f4ad8f99f0d882f45ba42b77842d9b774ecca95222b8d3 /tmp/verify_fix3.py'

python /tmp/verify_fix3.py

python -m pytest tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction -v --tb=line -s 2>/dev/null | grep -E "(PASSED|FAILED|ERROR)"