Blocked diagonal board rays
DiagonalIbis is a Windows AI coding client for examining board-ray calculations. Use a project conversation with a compatible model to review square indexing and blocker boundaries, keeping this geometry example separate from a full game's move rules.
def diagonal_rays(square, occupied):
if type(square) is not int or not 0 <= square < 64 or type(occupied) is not int or not 0 <= occupied < 2**64:
raise ValueError("rays.input")
row, column = divmod(square, 8)
result = 0
for dr, dc in ((1, 1), (1, -1), (-1, 1), (-1, -1)):
r, c = row+dr, column+dc
while 0 <= r < 8 and 0 <= c < 8:
bit = 1 << (8*r+c)
result |= bit
if occupied & bit:
break
r, c = r+dr, c+dc
return result
| 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 | Test corners and immediate blockers, including the first blocker but rejecting invalid integers without claiming complete move legality. |
def diagonal_rays(square, occupied):
if type(square) is not int or not 0 <= square < 64 or type(occupied) is not int or not 0 <= occupied < 2**64:
raise ValueError("rays.input")
row, column = divmod(square, 8)
result = 0
for dr, dc in ((1, 1), (1, -1), (-1, 1), (-1, -1)):
r, c = row+dr, column+dc
while 0 <= r < 8 and 0 <= c < 8:
bit = 1 << (8*r+c)
result |= bit
if occupied & bit:
break
r, c = r+dr, c+dc
return result
Trace a geometry change through indexing and blockers
DiagonalIbis provides a Windows AI coding workspace for making small source changes with their assumptions visible. A board-geometry request should start with the square numbering convention and the meaning of occupied positions. Put those details beside the project code and ask the connected model to inspect the current calculation before proposing an edit.
For example, a diagonal-ray task can trace four directions from a square until the first occupied position, including that blocker in the result. State the unsigned occupancy-mask range and include corners and immediate blockers in the discussion. This describes a geometry routine you want to maintain, not a complete move-legality system or a game supplied by the workspace.
Review the proposed output using fixtures whose expected squares you can identify independently. Check that rays stop at the board edge and do not wrap between rows, then inspect invalid integer handling. Run these cases in your own project environment. If a higher-level consumer interprets the mask as legal moves, review that additional logic separately from the ray calculation.
DiagonalIbis connects to supported OpenAI-compatible or Anthropic endpoints, using credentials where required. An unfiltered AI model can be selected if your endpoint offers it. Its actual restrictions, tools and context depend on the model and server; the indexing convention and acceptance checks remain requirements you control.
Before accepting a board-geometry edit
Which indexing details belong in the task?
State how squares map to indices and how rows and columns advance. Include a corner example with expected destinations. The connected model then has an explicit convention to follow, and you can review the proposed mask without guessing its orientation.
Should the first blocker appear in the output?
For this example, yes: the ray includes that square and stops beyond it. Make the rule explicit and test an immediate blocker. A higher-level consumer may interpret occupancy differently, so review that logic separately rather than change the ray contract implicitly.
How can I spot edge wrapping?
Use corner and edge fixtures whose diagonals are short or absent in particular directions. Compare the exact returned squares with independent expectations. A visually plausible mask from a central square may fail to reveal an indexing error near the board boundary.
Does a correct ray mask establish legal moves?
No. Move legality can depend on additional state and rules beyond this geometry operation. Keep the requested routine's contract narrow, inspect its consumers when needed and use separate project checks for higher-level behavior before treating the result as a legal-move set.
DiagonalIbis · Updated 2026-10-25