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Gregorian leap-year rules

LeapGrove gives calendar code a concrete review task inside a Windows AI coding client. Discuss the century exception with a compatible model while keeping the year-range checks beside the implementation.

● ● ●LeapGrove●
A concrete starting point · Gregorian leap-year rules ×
def is_leap_year(year):
    if type(year) is not int or not 1 <= year <= 9999:
        raise ValueError("year.range")
    return year % 4 == 0 and (year % 100 != 0 or year % 400 == 0)
✳Gregorian leap-year rules
✓ ChangesReview before applying ↗
Illustrative workspace
Connection
Base URL, credentials and a reachable server.
Project
Check 1900, 2000 and both range endpoints, rejecting year zero, fractions and Boolean values.
Review before applying
Compare actual behavior with the expected result. If a check fails, investigate it before applying more changes.
Workflows

Gregorian leap-year rules

Workflows ↗
A concrete starting point
def is_leap_year(year):
    if type(year) is not int or not 1 <= year <= 9999:
        raise ValueError("year.range")
    return year % 4 == 0 and (year % 100 != 0 or year % 400 == 0)
AI coding workspace

Write down the calendar assumption before changing the code

Date rules often look obvious until an application reaches an exceptional year or receives a value outside its supported range. LeapGrove gives you a Windows AI coding workspace for bringing those assumptions into the development conversation. Open the relevant project folder, name the calendar behavior you need and ask the assistant to inspect how incoming values reach the date-handling code.

The bounded leap-year function is one example to discuss. You could ask for a review of its supported years, rejected types and callers before adapting it for a form or import path. Keep the intended calendar system explicit and distinguish input validation from the rule itself. That makes the proposed work a software change you can evaluate, rather than relying on a familiar formula without checking its application context.

Use a supported OpenAI-compatible or Anthropic endpoint to choose an available uncensored AI model, supplying credentials where required. Model policies, tool access and context capacity remain dependent on the connection. Inspect the diff, run the relevant project checks and test ordinary years alongside the exceptional cases your contract includes. A local endpoint needs its own running model server and does not make every connected tool local.

Calendar requirements worth settling first

Why state the supported year range in the request?

The application may deliberately support a narrower range than a general calendar library. Specify that boundary and inspect callers before changing it. Extending accepted years can alter downstream behavior even when the leap-year calculation itself stays the same.

Should a numeric string count as a valid year?

Decide where conversion belongs in your application. A form may parse text before calling a strict helper, while an internal API may reject it. Ask the proposal to preserve that separation and test the agreed behavior explicitly.

Does a correct leap-year helper validate an entire date?

No. Month lengths, day ranges and the application's calendar assumptions still need their own handling. Keep the helper's responsibility clear, and inspect the code that combines it with other checks before declaring the input valid.

How can a reviewer check the requested date change?

Give concrete accepted and rejected examples, including the edge years relevant to your contract. Review the helper and its callers, then execute those cases through the actual input path. A standalone calculation does not verify form or import behavior.

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LeapGrove · Updated 2026-10-25