{
  "context": "This criteria evaluates how well the engineer uses CuPy's histogram computation functions to solve data distribution analysis tasks. The focus is on correct usage of histogram, histogram2d, digitize, and bincount functions.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "histogram usage",
      "description": "Uses cupy.histogram() or cp.histogram() to compute 1D histogram in analyze_distribution function, correctly returning both counts and bin edges",
      "max_score": 25
    },
    {
      "name": "histogram2d usage",
      "description": "Uses cupy.histogram2d() or cp.histogram2d() to compute 2D histogram in analyze_2d_distribution function, correctly handling x and y data and returning 2D counts with both x and y bin edges",
      "max_score": 25
    },
    {
      "name": "digitize usage",
      "description": "Uses cupy.digitize() or cp.digitize() to assign data points to bins in assign_to_bins function, returning bin indices for each data point",
      "max_score": 25
    },
    {
      "name": "bincount usage",
      "description": "Uses cupy.bincount() or cp.bincount() to count occurrences of integer values in count_occurrences function, correctly using the minlength parameter when provided",
      "max_score": 25
    }
  ]
}