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Detect Cycles in Trading Dependencies

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Your question is Detect Cycles in Trading Dependencies. Start with the requirements on the right.

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Problem

AKUNA CAPITAL models relationships between trading components as a directed dependency graph. An edge A -> B means component A must be processed before component B.

Implement has_cycle(graph) to determine whether the directed graph contains a cycle. A cycle means that no valid processing order exists because at least one component depends, directly or indirectly, on itself.

Formal Specification

  • Input graph: a dictionary mapping each component name to a list of components it directly depends on.
  • Every component name is a string. A referenced component may be absent as a key, and should still be treated as a valid node with no outgoing edges.
  • Output: return True if the graph contains at least one directed cycle; otherwise return False.
  • The graph may be disconnected and may contain self-loops.

Constraints

  • 1 <= number of distinct components <= 10^5
  • 0 <= number of directed edges <= 2 * 10^5
  • Component names are non-empty strings
  • Referenced components may be absent as dictionary keys
  • Duplicate edges do not affect the result

Function Signature

def has_cycle(graph):
Your solutionPython 3
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