LLumaGauge
AI coding workspace

Relative luminance contrast

LumaGauge puts color-calculation code beside an AI conversation about your project. Review a compatible model’s proposed luminance arithmetic and input checks, then interpret the computed ratio within the wider interface review.

● ● ●LumaGauge●
A concrete starting point · Relative luminance contrast ×
def contrast_ratio(left, right):
    def luminance(rgb):
        if type(rgb) not in (list, tuple) or len(rgb) != 3:
            raise ValueError("rgb.container")
        rgb = tuple(rgb)
        if len(rgb) != 3 or any(type(c) is not int or not 0 <= c <= 255 for c in rgb):
            raise ValueError("rgb.channel")
        channels = [c / 255 for c in rgb]
        linear = [c / 12.92 if c <= 0.04045 else ((c + 0.055) / 1.055)**2.4
                  for c in channels]
        return sum(c * w for c, w in zip(linear, (0.2126, 0.7152, 0.0722)))
    a, b = sorted((luminance(left), luminance(right)))
    return (b + 0.05) / (a + 0.05)
✳Calculate relative-luminance contrast between two three-channel eight-bit RGB colors.
✓ ChangesReview before applying ↗
Illustrative workspace
  1. Project

    Check black against white, equal colors and reversed arguments, rejecting non-integer or out-of-range channels without treating the ratio as a complete accessibility assessment.

  2. Review before applying

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

  3. Connection

    Base URL, credentials and a reachable server.

Workflows

Relative luminance contrast

Workflows ↗
A concrete starting point
def contrast_ratio(left, right):
    def luminance(rgb):
        if type(rgb) not in (list, tuple) or len(rgb) != 3:
            raise ValueError("rgb.container")
        rgb = tuple(rgb)
        if len(rgb) != 3 or any(type(c) is not int or not 0 <= c <= 255 for c in rgb):
            raise ValueError("rgb.channel")
        channels = [c / 255 for c in rgb]
        linear = [c / 12.92 if c <= 0.04045 else ((c + 0.055) / 1.055)**2.4
                  for c in channels]
        return sum(c * w for c, w in zip(linear, (0.2126, 0.7152, 0.0722)))
    a, b = sorted((luminance(left), luminance(right)))
    return (b + 0.05) / (a + 0.05)
AI coding workspace

Connect a color calculation to the interface it describes

LumaGauge is Windows AI coding software for reviewing interface changes that depend on color calculations. Open your project and describe the element, background and state you need to investigate. The connected assistant can help inspect the relevant code and discuss an edit, while you keep the rendered interface and its actual inputs central to the task.

The luminance.py example suggests a focused request about a contrast calculation. Ask where its color values originate and whether they match the colors ultimately displayed. An application may transform those values before rendering, so the helper alone cannot settle the visual question. Use the example as project context, then follow the result to the component that uses it and the behavior it influences.

An unrestricted AI model may be selected through a supported OpenAI-compatible or Anthropic endpoint that offers one. The configured service supplies model capabilities, tool support and any restrictions. After reviewing a proposed change, run numerical checks and inspect the relevant screen states. Account for the final foreground and background instead of relying only on design tokens. This workflow helps you distinguish a calculation defect from an incorrect input or a presentation issue that needs a different fix.

Reviewing color-related software behavior

Does a ratio from the helper certify the interface?

No. The value describes the supplied colors under the calculation's assumptions. Review the actual rendered state and the criteria applicable to the element. A single numeric result does not establish accessibility across the whole screen or application.

What if CSS opacity changes the visible color?

Trace the effective foreground and background before treating source tokens as final inputs. Inspect the rendered element and any layering involved. Ask whether the calculation is receiving the colors the user sees rather than an earlier design value.

Which inputs are useful for testing the calculation?

Use known reference pairs, identical colors and values at accepted channel boundaries. Include invalid containers and channel values to check rejection behavior. Compare results against an independent expected value rather than simply recording the new function's output.

Should I adjust the helper or the theme palette?

First identify whether the mismatch comes from the formula, its inputs or the intended visual design. Each points to a different change. Review neighboring components if a shared palette value changes, since their contrast relationships may change too.

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LumaGauge · Updated 2026-10-25