Neural Mastery
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#347. Graph Topological Execution Ordermedium

#347. Graph Topological Execution Order

mediumAgent Graph Engineering⏱ 15–20 min
⚡ Libraries allowed · Pure Python earns +10 bonus XP
🎯 Mission
Implement #347. Graph Topological Execution Order to master core AI engineering concepts in Agent Graph Engineering.

Task

Implement `graph_topological_execution_order` in Python. Test cases verify edge cases and functional requirements.

Function Signature

graph_topological_execution_order(*args, **kwargs)

Examples

Example 1: Basic Execution
Input: {}
Output: true
Explanation: Verifies core execution for #347. Graph Topological Execution Order.

Constraints

  • Libraries (NumPy, PyTorch, SciPy) are allowed and accepted normally.
  • Pure Python (no external libraries) earns +10 Bonus XP!
  • Must handle edge cases cleanly.
Python3Saved ✓
def graph_topological_execution_order(*args, **kwargs):
"""
Agent Graph Engineering - Problem #347: Graph Topological Execution Order
Implement solution for Graph Topological Execution Order in the Neural Mastery AI Engineering curriculum.
"""
# Implement core solution logic here
pass

Case 1: Basic Execution
Input: {}
Expected: true