| name: "Code_Flow" |
| description: |2- |
| Given a problem description, generate code directly. |
| |
| |
| input_interface_non_initialized: |
| - "problem_description" |
| - "io_description" |
| - "constraints" |
| - "python_stub" |
|
|
| input_interface_initialized: |
| - "query" |
|
|
| |
| output_interface: |
| - "api_output" |
|
|
| |
| backend: |
| _target_: aiflows.backends.llm_lite.LiteLLMBackend |
| api_infos: ??? |
| model_name: |
| openai: "gpt-4" |
| azure: "azure/gpt-4" |
|
|
| n: 1 |
| max_tokens: 3000 |
| temperature: 0.3 |
|
|
| top_p: 0.2 |
| frequency_penalty: 0 |
| presence_penalty: 0 |
|
|
| system_message_prompt_template: |
| _target_: aiflows.prompt_template.JinjaPrompt |
| template: |2- |
| Your goal is to provide executable Python code that solves a coding interview problem. The code should correctly handle all corner cases in order to pass the hidden test cases, which are used to evaluate the correctness of the solution. |
| |
| The user will specify the problem by providing you with: |
| - the problem statement |
| - example test cases |
| - the constraints of the problem |
|
|
| The user will provide you with a task and an output format that you will strictly follow. |
| input_variables: [] |
| |
|
|
| human_message_prompt_template: |
| _target_: aiflows.prompt_template.JinjaPrompt |
| template: "{{query}}" |
| input_variables: |
| - "query" |
| |
|
|
| init_human_message_prompt_template: |
| _target_: aiflows.prompt_template.JinjaPrompt |
| template: |2- |
| # Problem statement |
| {{problem_description}} |
| |
| {{io_description}} |
|
|
| |
| {{constraints}} |
|
|
|
|
| Return Python code that solves the problem. The code should extend the following stub: |
| ```python |
| {{python_stub}} |
| ``` |
| without changing the method signatures. |
| Reply in the following format: |
| ```python |
| {{code_placeholder}} |
| ``` |
| input_variables: |
| - "problem_description" |
| - "io_description" |
| - "constraints" |
| - "python_stub" |
| partial_variables: |
| code_placeholder: "{{python_code}}" |
| |
|
|