Method _generate_single_variant_report

ci/profile/parse_results.py:82–127

Generate report for single-variant tests

(self, target: str)

            return self._generate_single_variant_report(target)

    def _generate_single_variant_report(self, target: str) -> str:
        """Generate report for single-variant tests"""
        stats = self.compute_statistics()

        report = f"""
# Performance Profile: {target}

## Statistics ({stats["count"]} iterations)

| Metric | Value |
|--------|-------|
| **Best** | {stats["best"]:.2f} ns/call |
| **Median** | {stats["median"]:.2f} ns/call |
| **Worst** | {stats["worst"]:.2f} ns/call |
| **StdDev** | {stats["stdev"]:.2f} ns |
| **Calls/sec** | {1e9 / stats["median"]:.0f} |

## Interpretation

- **Best case**: {stats["best"]:.2f} ns/call (ideal conditions)
- **Typical**: {stats["median"]:.2f} ns/call (50th percentile)
- **Variance**: {stats["stdev"]:.2f} ns (lower is better)

## Recommendations

"""

        # Add recommendations based on performance
        median_ns = stats["median"]
        if median_ns > 1000:
            report += "- **High latency** (>1μs): Consider algorithmic improvements\n"
        elif median_ns > 100:
            report += (
                "- **Moderate latency** (100-1000ns): Look for micro-optimizations\n"
            )
        else:
            report += (
                "- **Low latency** (<100ns): Already well-optimized, focus elsewhere\n"
            )

        if stats["stdev"] / stats["median"] > 0.1:
            report += (
                "- **High variance**: Results inconsistent, may need more iterations\n"
            )

        return report

    def _generate_comparison_report(self, target: str) -> str:
        """Generate report for comparison tests with multiple variants"""