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name: "CodeCritic_Flow" |
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description: "ToDO: add description" |
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model_name: "gpt-4" |
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generation_parameters: |
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n: 1 |
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max_tokens: 3000 |
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temperature: 0.3 |
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model_kwargs: |
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top_p: 0.2 |
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frequency_penalty: 0 |
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presence_penalty: 0 |
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system_message_prompt_template: |
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_target_: langchain.PromptTemplate |
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template: |2- |
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Your goal is to identify potential issues with a competitive programming solution attempt. |
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The user will specify the problem by providing you with: |
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- the problem statement |
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- input description |
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- output description |
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- example test cases |
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- (optional) explanation of the test cases |
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- a Python solution attempt |
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Crucially, your goal is to correctly identify potential issues with the solution attempt, and not to provide the code implementation yourself. |
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The user will provide you with a task and an output format that you will strictly follow. |
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input_variables: [] |
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template_format: jinja2 |
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human_message_prompt_template: |
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_target_: langchain.PromptTemplate |
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template: "{{query}}" |
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input_variables: |
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- "query" |
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template_format: jinja2 |
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query_message_prompt_template: |
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_target_: langchain.PromptTemplate |
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template: |2- |
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# Problem statement |
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{{problem_description}} |
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{{input_description}} |
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{{output_description}} |
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{{io_examples_and_explanation}} |
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```python |
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{{code}} |
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``` |
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Consider the problem statement and the solution attempt. Are there any issues with the proposed solution or it is correct? Explain your reasoning very concisely, and do not provide code. |
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input_variables: |
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- "problem_description" |
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- "input_description" |
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- "output_description" |
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- "io_examples_and_explanation" |
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- "code" |
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template_format: jinja2 |
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input_keys: |
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- "problem_description" |
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- "input_description" |
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- "output_description" |
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- "io_examples_and_explanation" |
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- "code" |
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output_keys: [] |
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