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… a class instantiation' Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>
…promptolution into feature/welcome_capoeira # especially if it merges an updated upstream into a topic branch.
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| few_shot_examples = build_few_shot_examples( | ||
| instruction="Classify the sentiment of the text.", | ||
| num_examples=2, | ||
| df_few_shots=mock_df, | ||
| x_column=mock_task.x_column, | ||
| y_column=mock_task.y_column, | ||
| predictor=mock_predictor, | ||
| fewshot_template=CAPO_FEWSHOT_TEMPLATE, | ||
| target_begin_marker=optimizer.target_begin_marker, | ||
| target_end_marker=optimizer.target_end_marker, | ||
| check_fs_accuracy=True, | ||
| create_fs_reasoning=True, | ||
| ) |
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| few_shot_examples = build_few_shot_examples( | ||
| instruction="Classify the sentiment of the text.", | ||
| num_examples=0, | ||
| df_few_shots=mock_df, | ||
| x_column=mock_task.x_column, | ||
| y_column=mock_task.y_column, | ||
| predictor=mock_predictor, | ||
| fewshot_template=CAPO_FEWSHOT_TEMPLATE, | ||
| target_begin_marker=optimizer.target_begin_marker, | ||
| target_end_marker=optimizer.target_end_marker, | ||
| check_fs_accuracy=True, | ||
| create_fs_reasoning=True, | ||
| ) |
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| mutated = perform_mutation( | ||
| offsprings=[Prompt("Instruction 1", ["Example 1"]), Prompt("Instruction 2", ["Example 2"])], | ||
| mutation_template=optimizer.mutation_template, | ||
| upper_shots=optimizer.upper_shots, | ||
| meta_llm=optimizer.meta_llm, | ||
| few_shot_kwargs=dict( | ||
| df_few_shots=mock_df, | ||
| x_column=mock_task.x_column, | ||
| y_column=mock_task.y_column, | ||
| predictor=mock_predictor, | ||
| fewshot_template=CAPO_FEWSHOT_TEMPLATE, | ||
| target_begin_marker=optimizer.target_begin_marker, | ||
| target_end_marker=optimizer.target_end_marker, | ||
| check_fs_accuracy=True, | ||
| create_fs_reasoning=True, | ||
| ), | ||
| ) |
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| perform_mutation( | ||
| offsprings=[parent], | ||
| mutation_template=optimizer.mutation_template, | ||
| upper_shots=optimizer.upper_shots, | ||
| meta_llm=optimizer.meta_llm, | ||
| few_shot_kwargs=dict( | ||
| df_few_shots=mock_df, | ||
| x_column=mock_task.x_column, | ||
| y_column=mock_task.y_column, | ||
| predictor=mock_predictor, | ||
| fewshot_template=CAPO_FEWSHOT_TEMPLATE, | ||
| target_begin_marker=optimizer.target_begin_marker, | ||
| target_end_marker=optimizer.target_end_marker, | ||
| check_fs_accuracy=True, | ||
| create_fs_reasoning=True, | ||
| ), | ||
| ) |
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| offsprings = perform_crossover( | ||
| [Prompt("Instruction 1", ["Example 1"]), Prompt("Instruction 2", ["Example 2"])], | ||
| optimizer.crossovers_per_iter, | ||
| optimizer.crossover_template, | ||
| optimizer.meta_llm, | ||
| ) |
tests/optimizers/test_capo.py
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| mother = Prompt("Classify the sentiment of the text.", ["Input: I love this! Output: Positive"]) | ||
| father = Prompt("Determine if the review is positive or negative.", ["Input: This is terrible. Output: Negative"]) | ||
| optimizer._crossover([mother, father]) | ||
| perform_crossover([mother, father], optimizer.crossovers_per_iter, optimizer.crossover_template, optimizer.meta_llm) |
tests/optimizers/test_capoeira.py
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|
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| mother = Prompt("Instruction 1", ["Example 1"]) | ||
| father = Prompt("Instruction 2", ["Example 2"]) | ||
| perform_crossover([mother, father], optimizer.crossovers_per_iter, optimizer.crossover_template, optimizer.meta_llm) |
banjuessing
suggested changes
Jan 12, 2026
banjuessing
suggested changes
Jan 13, 2026
…rth/promptolution into feature/welcome_capoeira
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