CircleJunco is a Windows workspace for discussing circular-index algorithms with AI. Trace the recurrence in the context of your project and check the model’s suggested update against direct elimination cases.
def josephus_index(count, step):
if type(count) is not int or not 1 <= count <= 10000:
raise ValueError("circle.count")
if type(step) is not int or not 1 <= step <= 1000000:
raise ValueError("circle.step")
survivor = 0
for size in range(2, count + 1):
survivor = (survivor + step) % size
return survivordef josephus_index(count, step):
if type(count) is not int or not 1 <= count <= 10000:
raise ValueError("circle.count")
if type(step) is not int or not 1 <= step <= 1000000:
raise ValueError("circle.step")
survivor = 0
for size in range(2, count + 1):
survivor = (survivor + step) % size
return survivorAn index can be correct inside a function and still point to the wrong item when an interface labels positions differently. CircleJunco provides a Windows AI coding workspace for following that mismatch across project files. Start by stating where counting begins and how a returned position becomes a displayed label or selected record. Ask the assistant to inspect both conventions before editing either side.
The Josephus survivor-index example supplies a concrete development case. You could review how the input count and step are bounded, then follow the returned index to its consumer. Request a change only after agreeing whether the caller expects an index or a human-readable position. Small hand-checkable cases are useful here because they show the intended behavior without hiding a convention behind a large output.
Choose an abliterated AI model if available through your supported OpenAI-compatible or Anthropic endpoint, with credentials where required. The model and server determine tool access, context and restrictions. Review the proposed conversion or validation changes and run project tests through the caller. A local model needs a separate running server, and other connected tools may still use external services during the work.
State it at the function boundary and in the caller's expectation. Include an example that shows the returned index and displayed position separately. This makes it easier to review a conversion without introducing an extra adjustment elsewhere.
Inspect all callers first. If they expect an index, changing the helper can break selection logic even while one label improves. Ask for a proposal that places the conversion at the boundary appropriate to your application's contract.
Choose a count and step you can follow manually, then state the expected survivor and its displayed label. Include the smallest accepted input. These examples expose a convention mismatch more clearly than a large result with no explanation.
No automatic simulation is established by the sample. The workspace supports discussing and reviewing your implementation. Use your project environment to run the code and compare its output with the acceptance cases you have defined for the task.
CircleJunco · Updated 2026-10-25