BBracketMast
AI coding workspace

Bracket nesting depth

BracketMast brings a bracket validator into a project-focused AI conversation on Windows. Open the parser files, ask a compatible model to trace the stack, and review whether crossed pairs fail before a depth result is returned.

● ● ●BracketMast●
A concrete starting point · Bracket nesting depth ×
def bracket_depth(text):
    if type(text) is not str:
        raise ValueError("bracket.type")
    stack, peak = [], 0
    pairs = {')': '(', ']': '[', '}': '{'}
    for char in text:
        if char in "([{":
            stack.append(char)
            peak = max(peak, len(stack))
        elif char in pairs:
            if not stack or stack.pop() != pairs[char]:
                raise ValueError("bracket.order")
        else:
            raise ValueError("bracket.alphabet")
    if stack:
        raise ValueError("bracket.unclosed")
    return peak
✳Bracket nesting depth
✓ ChangesReview before applying ↗
Illustrative workspace
  1. Review before applying

    Compare actual behavior with the expected result. If a check fails, investigate it before applying more changes.

  2. Connection

    Base URL, credentials and a reachable server.

  3. Project

    Accept the empty string with depth zero, but reject crossed pairs, unmatched brackets and every other character, including spaces.

Workflows

Bracket nesting depth

Workflows ↗
A concrete starting point
def bracket_depth(text):
    if type(text) is not str:
        raise ValueError("bracket.type")
    stack, peak = [], 0
    pairs = {')': '(', ']': '[', '}': '{'}
    for char in text:
        if char in "([{":
            stack.append(char)
            peak = max(peak, len(stack))
        elif char in pairs:
            if not stack or stack.pop() != pairs[char]:
                raise ValueError("bracket.order")
        else:
            raise ValueError("bracket.alphabet")
    if stack:
        raise ValueError("bracket.unclosed")
    return peak
AI coding workspace

Make validation rules understandable to the next caller

BracketMast brings AI-assisted development into a Windows workspace where a project folder and its coding conversation stay connected. Use it when a validation change needs more precision than a request to handle bad input. Describe the accepted language, the failure conditions and what callers should receive, then ask the assistant to inspect the existing implementation before proposing a correction.

A task involving bracket_depth.py could focus on whether an input contains only supported brackets, whether their order is valid and what an empty value means. Ask for a patch and examples that expose those decisions. Keep the function and its callers in view: changing the accepted alphabet may alter behavior even when balanced inputs continue to work. This makes validation review about the application contract, rather than a single successful demonstration.

After reviewing the proposal, run your project checks for accepted strings, premature closing brackets and unfinished input. Use failures to refine the request and retain the agreed error behavior. BracketMast connects to supported OpenAI-compatible or Anthropic endpoints with credentials when required. You may select a model described as unrestricted if your endpoint offers it; provider conditions still apply, and context limits and tools depend on the model and server. Your tests establish whether the resulting code follows the contract.

Deciding what a validator should accept

Should unsupported characters be ignored or rejected?

Choose deliberately based on the caller contract. A validator for bracket-only strings may reject them, while a source parser needs different rules. Give the assistant that distinction before accepting a change that silently skips unexpected characters.

How should an empty value behave?

Specify whether it is valid, missing or an error in your application. Then check both the function result and how the caller interprets it. An empty-input convention should not be left to an incidental loop behavior.

What separates an error message from an error contract?

The contract includes which condition fails, how failure is represented and what the caller does next. Review those decisions together; improving wording alone may leave inconsistent return values or an unhandled exception in the application.

Can I reuse a validator after changing its accepted input?

Inspect its other callers first. A broader accepted alphabet or a different error type can affect code that relied on the old behavior. Keep compatibility explicit and add checks for those dependencies before reusing the changed helper.

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BracketMast · Updated 2026-10-25