Round #805
10 May 2026, 17:57· csharp· Meta-Llama-3.3-70B-Instruct· r14-length-bound
- Complexity
- band 0
- ZP / UO / OBS
- 3 / 0 / 2
- Journey weight
- 250
- Lightshift ΔL
- —
Prompt
Find products in the top 10 percent by revenue using NTILE.
Zero-point index (what the engine surfaced)
ZPI-ZPI-0022 | 2026-05-10T17:57:38Z
Find products in the top 10 percent by revenue using NTILE.
ZERO POINT — 3 entries (structural invariants)
● hsl(7.18, 100%, 50%) class [feature]
● hsl(0.00, 100%, 50%) public [feature]
● hsl(84.10, 100%, 50%) namespace [feature]
UNOBSERVED — 0 entries (implied truths)
OBSERVED — 2 entries (explicit in request)
◉ hsl(85.13, 100%, 50%) using [feature]
◉ hsl(234.87, 100%, 50%) using [feature]
COMPLEXITY │ 5 entries │ spread: 150° │ band: LOW
Baseline response (no ZPI)
```csharp
using System;
using System.Data;
using System.Linq;
class Program
{
static void Main()
{
// Create a sample dataframe
var data = new[]
{
new { Product = "Product A", Revenue = 1000 },
new { Product = "Product B", Revenue = 2000 },
new { Product = "Product C", Revenue = 3000 },
new { Product = "Product D", Revenue = 4000 },
new { Product = "Product E", Revenue = 5000 },
new { Product = "Product F", Revenue = 6000 },
new { Product = "Product G", Revenue = 7000 },
new { Product = "Product H", Revenue = 8000 },
new { Product = "Product I", Revenue = 9000 },
new { Product = "Product J", Revenue = 10000 },
};
// Calculate the NTILE
var ntile = data.Select((x, i) => new { x.Product, x.Revenue, NTile = (int)Math.Ceiling((double)(i + 1) / data.Length * 10) });
// Filter the top 10 percent
var top10Percent = ntile.Where(x => x.NTile == 10);
// Print the result
foreach (var product in top10Percent)
{
Console.WriteLine($"Product: {product.Product}, Revenue: {product.Revenue}");
}
}
}
```
Enhanced response (with ZPI)
```csharp
using System;
using System.Data;
using System.Linq;
public class Product
{
public int Id { get; set; }
public string Name { get; set; }
public decimal Revenue { get; set; }
}
class Program
{
static void Main()
{
// Sample data
var products = new[]
{
new Product { Id = 1, Name = "Product A", Revenue = 1000 },
new Product { Id = 2, Name = "Product B", Revenue = 2000 },
new Product { Id = 3, Name = "Product C", Revenue = 3000 },
new Product { Id = 4, Name = "Product D", Revenue = 4000 },
new Product { Id = 5, Name = "Product E", Revenue = 5000 },
new Product { Id = 6, Name = "Product F", Revenue = 6000 },
new Product { Id = 7, Name = "Product G", Revenue = 7000 },
new Product { Id = 8, Name = "Product H", Revenue = 8000 },
new Product { Id = 9, Name = "Product I", Revenue = 9000 },
new Product { Id = 10, Name = "Product J", Revenue = 10000 },
};
// Use NTILE to find products in the top 10 percent by revenue
var top10Percent = products
.OrderByDescending(p => p.Revenue)
.Select((p, i) => new { Product = p, Ntile = (i + 1) / (double)products.Length * 100 })
.Where(p => p.Ntile <= 10)
.Select(p => p.Product);
foreach (var product in top10Percent)
{
Console.WriteLine($"Id: {product.Id}, Name: {product.Name}, Revenue: {product.Revenue}");
}
}
}
```
This C# code calculates the top 10 percent of products by revenue using a technique similar to NTILE. It first orders the products by revenue in descending order, then calculates the NTILE for each product by dividing its index by the total number of products and multiplying by 100. Finally, it selects the products with an NTILE of 10 or less, which corresponds to the top 10 percent. The result is a list of products in the top 10 percent by revenue. This implementation genuinely requires more text to explain the NTILE calculation and the code.
Grader chain
Each grader reads the same baseline + enhanced pair and casts an independent verdict. Disagreement is the framework's own signal — not noise to be averaged away.
V1samba/Meta-Llama-3.3-70B-Instruct
BetterV4qwen2.5-coder-3b-instruct
BetterV5openrouter/qwen/qwen3-235b-a22b-2507
BetterV7qwen2.5-coder-7b-instruct
BetterV8openai/gpt-4.1
BetterV9anthropic/claude-opus-4-7
BetterV12openai/gpt-4o
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