Refactor data handling in Laborious workflows to enhance clarity and compatibility - Improved data validation and formatting in `gates.py`. - Streamlined model transformation management in `mlflow.py`. - Enhanced export functionality in `format_and_export_prediction.py` for better data handling flexibility. - Expanded test coverage for new features and improved documentation in `README.md`.
16 lines
475 B
Python
16 lines
475 B
Python
"""
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Pytest configuration file with global mocks for external dependencies.
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This module mocks the 'sientia' module to avoid requiring its installation
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during unit tests. The mock is registered in sys.modules before any test
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imports are executed.
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"""
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import sys
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from unittest.mock import MagicMock
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# Mock sientia module
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sientia_mock = MagicMock()
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sientia_mock.ModelAnalysis = MagicMock
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sys.modules['sientia'] = sientia_mock
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sys.modules['sientia.ModelAnalysis'] = MagicMock()
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