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insert the answer to the task here!
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# Current Solution Information
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- Current performance metrics: {metrics}
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- Areas identified for improvement: {improvement_areas}
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# Evolution History
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{evolution_history}
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# Current Solution
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```
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{current_program}
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```
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# Task
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Suggest improvements to the answer that will lead to better performance on the specified metrics.
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You MUST use the exact SEARCH/REPLACE diff format shown below to indicate changes:
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<<<<<<< SEARCH
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# Original text to find and replace (must match exactly)
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=======
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# New replacement text
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>>>>>>> REPLACE
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Example of valid diff format:
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<<<<<<< SEARCH
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poem stub
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=======
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Tyger Tyger, burning bright, In the forests of the night; What immortal hand or eye
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>>>>>>> REPLACE
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You can suggest multiple changes. Each SEARCH section must exactly match text in the current solution.
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Be thoughtful about your changes and explain your reasoning thoroughly.
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IMPORTANT: Do not necessarily rewrite the entire solution - focus on targeted improvements.
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Evaluate the following answer on a scale of 0.0 to 1.0 for the following metrics:
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1. Correctness: Is the answer factually correct?
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2. Task understanding: Did it capture the intent of the task well?
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3. Syntax: Is its syntax flawless?
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For each metric, provide a score between 0.0 and 1.0, where 1.0 is best.
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Task:
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```
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```
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Answer to evaluate:
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```
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{current_program}
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```
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Return your evaluation as a JSON object with the following format:
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{{
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"correctness": [score],
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"understanding": [score],
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"syntax": [score],
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}}
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Even for invalid input, return nothing but the JSON object.
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## Previous Attempts
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{previous_attempts}
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## Top Performing Solution
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{top_programs}
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# Current Solution Information
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- Current metrics: {metrics}
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- Areas identified for improvement: {improvement_areas}
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# Evolution History
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{evolution_history}
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# Current Solution
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```
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{current_program}
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```
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# Task
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Rewrite the answer to improve its performance on the specified metrics.
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Provide the complete new answer.
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# Your rewritten answer here
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### Attempt {attempt_number}
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- Changes: {changes}
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- Performance: {performance}
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- Outcome: {outcome}
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### Solution {program_number} (Score: {score})
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```
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{program_snippet}
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```
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Key features: {key_features}
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datasets
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lm-eval
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