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46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
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import nbformat
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from nbconvert.preprocessors import ExecutePreprocessor
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from nbconvert.preprocessors import CellExecutionError
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import os
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import sys
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import pytest
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here = os.path.abspath(os.path.dirname(__file__))
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def run_notebook(input_nb, output_nb="executed_notebook.ipynb", save=False):
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try:
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file_path = os.path.join(here, os.pardir, os.pardir, "notebook", input_nb)
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with open(file_path) as f:
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nb = nbformat.read(f, as_version=4)
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ep = ExecutePreprocessor(timeout=3600, kernel_name="python3")
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ep.preprocess(nb, {"metadata": {"path": here}})
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except CellExecutionError:
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raise
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finally:
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if save:
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with open(os.path.join(here, output_nb), "w", encoding="utf-8") as f:
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nbformat.write(nb, f)
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@pytest.mark.skipif(
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sys.platform != "darwin" or "3.8" not in sys.version,
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reason="Only run on macOS with Python 3.8",
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)
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def test_automl_classification(save=False):
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run_notebook("automl_classification.ipynb", save=save)
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@pytest.mark.skipif(
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sys.platform != "darwin" or "3.7" not in sys.version,
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reason="Only run on macOS with Python 3.7",
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)
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def test_zeroshot_lightgbm(save=False):
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run_notebook("zeroshot_lightgbm.ipynb", save=save)
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if __name__ == "__main__":
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# test_automl_classification(save=True)
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test_zeroshot_lightgbm(save=True)
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