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adaptive qaoa #1303
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applications/optimization/adaptive_qaoa_lib.ipynb
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,21 @@ | ||
| from tests.utils_for_testbook import ( | ||
| validate_quantum_program_size, | ||
| validate_quantum_model, | ||
| wrap_testbook, | ||
| ) | ||
| from testbook.client import TestbookNotebookClient | ||
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| @wrap_testbook("adaptive_qaoa_lib", timeout_seconds=1000) | ||
| def test_notebook(tb: TestbookNotebookClient) -> None: | ||
| # test models | ||
| # validate_quantum_model(tb.ref("qmod")) | ||
| # test quantum programs | ||
| validate_quantum_program_size( | ||
| tb.ref_pydantic("qprog"), | ||
| expected_width=None, | ||
| expected_depth=None, | ||
| ) | ||
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| # test notebook content | ||
| pass # Todo | ||
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You can have a look at other file tests and see what to fill in. For example,
test_shor.py.In particular, the
# test notebook contentis optional, but it can be very useful to verify the functional result of the notebook.If you did not generate a
qmodpython variable in the notebook then removevalidate_quantum_model(tb.ref("qmod")).For the
validate_quantum_program_sizeplease add numbers with some buffer compared to what you actually see.