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@chung-thai-nguyen chung-thai-nguyen force-pushed the feature/dagpool_simulation branch from 554ae31 to e4275ba Compare February 23, 2025 13:34
@chung-thai-nguyen chung-thai-nguyen marked this pull request as ready for review February 23, 2025 13:35
@chung-thai-nguyen chung-thai-nguyen force-pushed the feature/dagpool_simulation branch from e4275ba to 5e15682 Compare February 23, 2025 13:45
@chung-thai-nguyen chung-thai-nguyen force-pushed the feature/dagpool_simulation branch from 10ede7a to f059db8 Compare March 6, 2025 11:46
@chung-thai-nguyen chung-thai-nguyen force-pushed the feature/dagpool_simulation branch from f059db8 to b242137 Compare March 6, 2025 13:20
@chung-thai-nguyen chung-thai-nguyen force-pushed the feature/dagpool_simulation branch from 3862fcd to 206deba Compare March 14, 2025 05:44
@chung-thai-nguyen chung-thai-nguyen force-pushed the feature/dagpool_simulation branch from 6f950ba to 45129e6 Compare March 15, 2025 02:05
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Pull Request Overview

This pull request adds core functionality for simulating dagpool computations, including graph algorithms for Hamiltonian path and cycle detection in tournament graphs.

  • Introduces a new module (dagpool/graph.py) with implementations for tournament graph algorithms using Tarjan’s algorithm for strongly connected components.
  • Adds a new module (dagpool/schemas.py) that defines several NewType schemas for identifying graph-related entities.

Reviewed Changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 1 comment.

File Description
dagpool/graph.py Adds graph functionality including tournament graph checks, SCCs, Hamiltonian path and cycle finder functions.
dagpool/schemas.py Provides type definitions used throughout the dagpool module.
Comments suppressed due to low confidence (1)

dagpool/graph.py:168

  • [nitpick] The parameter name 'hamiltonian_path' in 'assert_is_strongly_connected_component' is misleading since it actually represents the nodes of a strongly connected component. Consider renaming it to 'scc_nodes' for improved clarity.
def assert_is_strongly_connected_component(self, hamiltonian_path: List[GraphNodeId]):

return False
return True

def print_all_edges(self):
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Copilot AI Mar 27, 2025

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The 'print_all_edges' function collects edges in a list but neither prints nor returns the collected list. To match the function name, consider either printing the list or returning it so that its output can be used.

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2 participants