Complete Sudoku validation
A filled board is not necessarily a valid solution. GridCoven helps you inspect a Sudoku validator inside your coding project, with explicit checks instead of a claim that the client solves puzzles for you.
def sudoku_complete(board):
if type(board) is not list or len(board) != 9:
raise ValueError("nine rows")
if any(type(row) is not list or len(row) != 9 or
any(type(v) is not int or not 1 <= v <= 9 for v in row) for row in board):
raise ValueError("nine integer digits per row")
target = set(range(1,10))
units = board + [list(col) for col in zip(*board)]
units += [[board[y+dy][x+dx] for dy in range(3) for dx in range(3)]
for y in (0,3,6) for x in (0,3,6)]
return all(set(unit) == target for unit in units)| Review before applying | Compare actual behavior with the expected result. If a check fails, investigate it before applying more changes. |
|---|---|
| Connection | Base URL, credentials and a reachable server. |
| Project | Check rows, columns and three-by-three blocks, rejecting malformed or non-integer input and returning false for repeated digits. |
def sudoku_complete(board):
if type(board) is not list or len(board) != 9:
raise ValueError("nine rows")
if any(type(row) is not list or len(row) != 9 or
any(type(v) is not int or not 1 <= v <= 9 for v in row) for row in board):
raise ValueError("nine integer digits per row")
target = set(range(1,10))
units = board + [list(col) for col in zip(*board)]
units += [[board[y+dy][x+dx] for dy in range(3) for dx in range(3)]
for y in (0,3,6) for x in (0,3,6)]
return all(set(unit) == target for unit in units)Separate a complete input from a valid result
GridCoven is a Windows AI coding workspace for asking precise questions about validation code. Start with the distinction the application needs to make, then bring the relevant source and examples into the conversation. The connected model can help discuss a proposal while you decide which accepted and rejected states belong in the product contract.
A filled Sudoku board offers a concrete review task: every cell can contain a value while the board still violates a row, column or block rule. Ask for validation of a completed board without solving missing cells. Include how malformed input differs from a well-shaped but invalid board, because callers may handle those outcomes differently.
Use independent fixtures to review the patch. One can violate a column while preserving the row checks; another can expose a block-rule omission. Run those cases with your existing project tools and inspect whether the input remains unchanged. The aim is to make each required condition observable, rather than accept a validator because it recognizes one known solution.
GridCoven supports connections to OpenAI-compatible or Anthropic endpoints with credentials when necessary. If an unfiltered AI model is offered through your endpoint, it remains subject to its actual capabilities and service conditions. The model and server determine context and tools; neither a label nor a confident explanation proves the validation complete.
Defining a complete-board validation task
How do I distinguish malformed input from an invalid board?
State the required shape and value types first, then describe the rule failures a well-shaped board can contain. Specify how the caller should observe each outcome. This lets you review error handling separately from the Boolean validity decision.
Why is a correct solution fixture insufficient?
It shows only that one valid example is accepted. Add cases that isolate a row, column and block violation so omitted conditions become visible. Review the expected outcomes independently before checking whether the proposed implementation matches them in your tests.
Can I ask the workspace to solve missing cells?
That would be a different coding task with a different contract. The example here validates completed input. Keep missing-cell handling explicit so the proposed validator does not quietly become a solver or treat an incomplete board as a completed solution.
Should validation mutate the submitted board?
Specify that in your requirement. For this review example, retain the original input and check it after validation. Mutation can affect later interface behavior even when the validity result is correct, so include the consuming code if that risk matters.
GridCoven · Updated 2026-10-25