QTZPOC-20
QTZPOC-20: Apply minor formatting adjustments to improve code readability.
This commit is contained in:
@@ -444,7 +444,9 @@ class ImportModel:
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retry_policy=retry_policy,
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retry_policy=retry_policy,
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start_to_close_timeout=CLEANUP_TIMEOUT,
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start_to_close_timeout=CLEANUP_TIMEOUT,
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)
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)
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except BaseException as error: # NOSONAR - cleanup never replaces the failure that brought us here
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except (
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BaseException
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) as error: # NOSONAR - cleanup never replaces the failure that brought us here
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if is_cancelled_exception(error):
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if is_cancelled_exception(error):
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raise
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raise
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return {'cleaned': False}
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return {'cleaned': False}
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@@ -463,7 +463,9 @@ def test_extract_member_rechecks_containment_on_the_resolved_path(work_dir, read
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assert error.value.gate == 5
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assert error.value.gate == 5
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def test_extract_member_rejects_a_stream_larger_than_its_declared_size(work_dir, reader, monkeypatch):
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def test_extract_member_rejects_a_stream_larger_than_its_declared_size(
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work_dir, reader, monkeypatch
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):
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"""A decompressed stream longer than the entry's declared `file_size` is rejected mid-write,
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"""A decompressed stream longer than the entry's declared `file_size` is rejected mid-write,
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instead of trusting the central-directory metadata gate 4 already checked in aggregate.
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instead of trusting the central-directory metadata gate 4 already checked in aggregate.
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@@ -667,7 +667,9 @@ async def test_download_model_resolves_run_id_once_non_wrapper(mlflow_repository
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await mlflow_repository.download_model('test_model', {}, 'predict', 'sklearn', False)
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await mlflow_repository.download_model('test_model', {}, 'predict', 'sklearn', False)
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mlflow_repository.get_model_run_id.assert_called_once_with(model_name='test_model', stage='Production')
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mlflow_repository.get_model_run_id.assert_called_once_with(
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model_name='test_model', stage='Production'
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)
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mlflow_repository.download_artifact_code_dir.assert_called_once_with(
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mlflow_repository.download_artifact_code_dir.assert_called_once_with(
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'test_model', 'prediction_model', 'sklearn', {}, run_id='run-123'
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'test_model', 'prediction_model', 'sklearn', {}, run_id='run-123'
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)
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)
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@@ -685,7 +687,9 @@ async def test_download_model_resolves_run_id_once_wrapper(mlflow, mlflow_reposi
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await mlflow_repository.download_model('test_model', {}, 'predict', 'pyfunc', True)
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await mlflow_repository.download_model('test_model', {}, 'predict', 'pyfunc', True)
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mlflow_repository.get_model_run_id.assert_called_once_with(model_name='test_model', stage='Production')
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mlflow_repository.get_model_run_id.assert_called_once_with(
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model_name='test_model', stage='Production'
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)
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mlflow_repository.download_artifact_code_dir.assert_called_once_with(
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mlflow_repository.download_artifact_code_dir.assert_called_once_with(
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'test_model', 'prediction_model', 'pyfunc', {}, run_id='run-123'
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'test_model', 'prediction_model', 'pyfunc', {}, run_id='run-123'
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)
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)
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