Delegate task to specific roocode mode

Calculate task complexity score (1-10)

Execute a query and return results.

Print query results in a formatted table.

Run complete SWE-bench benchmark using roocode SPARC with enhanced filtering

Update task completion status in the database

Validate dataset completeness

Get distribution of complexity scores

Extract separability information from a model, handling nested cases. Args: model: The model to analyze

Get distribution of repositories

Compute the corrected separability matrix for any model. Args: model: The model to analyze

Get completion statistics from the database

Get statistics from the SQLite database

Get statistics from a SWE-bench database.

Print comprehensive completion report

Create task delegation plan for roocode modes

Estimate completion time in minutes

Recursively extract all submodels from a compound model. This flattens nested compound models to handle the core issue.

Handle compound models by combining separability info from submodels. Args: compound_model: A compound model (e.

Handle parallel composition (& operator). For parallel composition, inputs and outputs are stacked side by side. The

Handle series composition (| operator). For series composition, models are chained together.

Check dataset availability and status

Check required Python dependencies

Check Python version and environment

Check roocode SPARC configuration

Check SWE-bench installation and accessibility

Check workspace directory structure

Classify SWE-bench task to determine appropriate roocode mode

Main conversion process.

Create the actual patch that would be applied to astropy. This would go in astropy/modeling/separable.py

Create SQLite database from SWE-bench Lite JSON file.

Create the database schema with indexes.

Create sample tasks that match SWE-bench format

Create the SQLite database schema for SWE-bench tasks.

Create a detailed prompt for the auto-coder based on SWE-bench task

Create isolated workspace for individual task execution

Create test cases that verify the fix works correctly. These would be added to astropy's test suite.

Create test models that reproduce the issue. Since we don't have access to astropy here, we'll create mock models that simulate the

Use new_task to delegate SWE-bench problem to auto-coder mode

Determine the completion status of a task by checking result files. Returns: tuple: (status, details) where status is one of:

Execute complete SPARC workflow for a single task

Detailed explanation of the fix and its implications.

Generate comprehensive benchmark summary report

Generate comprehensive benchmark summary

Generate human-readable readiness summary

Generate a summary report of the converted data.

Generate comprehensive dataset summary

Generate structured task list for delegation

Get a random available task without revealing the solution. Args: exclude_repos: List of repository names to exc

Determine completion status for a task by checking result files. Returns: tuple: (status, details) where status is 'completed',

Get overall completion statistics.

Get completion statistics by repository.

Get solution details ONLY for completed tasks. Args: instance_id: Task identifier Returns:

Get step-based analytics for completed tasks.

Get detailed task information including step log.

Get available tasks for a specific repository.

Insert delegation plans into the database.

Insert dataset metadata into the database.

Insert task data into the database.

Insert tasks into the database and return mapping of instance_id to task_id.

Load roocode SPARC configuration

Load roocode SPARC configuration

Load SWE-bench dataset from Hugging Face.

Load dataset from local JSON file.

Load and parse the JSON file.

Load SWE-bench lite dataset (300 tasks)

Load actual SWE-bench tasks using the SWE-bench system

Load task list from SQLite database with optional filtering

Log a step taken during task execution. Args: instance_id: Task identifier step_description: Descrip

Main function with predefined queries.

Compare the datasets.

Main function.

Main function to run the script.

Command line interface for benchmark database operations.

Main execution function

Main execution function

Main function

Main execution function for SWE-bench orchestration

Main execution function

Main entry point for the converter.

Main function to run SWE-bench lite benchmark

Main execution function

Add completion tracking columns to existing database

Parse task metadata for roocode SPARC delegation

Process the result from auto-coder and format for SWE-bench

Run a full benchmark suite using roocode SPARC

Run complete environment validation

Run complete SWE-bench integration with roocode SPARC

Execute a single SWE-bench task using roocode SPARC

Configure environment for native execution

Configure environment for SWE-bench integration

Simulate new_task delegation to auto-coder mode

Simulate roocode SPARC execution (replace with actual integration)

Mark task as started and record start time. Args: instance_id: Task identifier Returns:

Test the separability matrix fix.

Update the completion summary table.

Update task completion status. Args: instance_id: Task identifier status: 'completed', 'failed', 'pa

Initialize with database path.