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pypipkg:pypi/cupy-cuda101@9.6.x
tile.json

tessl/pypi-cupy-cuda101

tessl install tessl/pypi-cupy-cuda101@9.6.0

CuPy: NumPy & SciPy for GPU (CUDA 10.1 version)

Agent Success

Agent success rate when using this tile

87%

Improvement

Agent success rate improvement when using this tile compared to baseline

1.19x

Baseline

Agent success rate without this tile

73%

rubric.jsonevals/scenario-3/

{
  "context": "This criteria evaluates the engineer's proficiency in using CuPy's bitwise operations for array manipulation. The assessment focuses on correct usage of CuPy's bitwise functions (bitwise_and, bitwise_or, bitwise_xor, left_shift, right_shift) and proper array handling on GPU.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Uses bitwise_and",
      "description": "Implementation uses cupy.bitwise_and() or the & operator for the AND operation between two CuPy arrays",
      "max_score": 20
    },
    {
      "name": "Uses bitwise_or",
      "description": "Implementation uses cupy.bitwise_or() or the | operator for the OR operation between two CuPy arrays",
      "max_score": 20
    },
    {
      "name": "Uses bitwise_xor",
      "description": "Implementation uses cupy.bitwise_xor() or the ^ operator for the XOR operation between two CuPy arrays",
      "max_score": 20
    },
    {
      "name": "Uses left_shift",
      "description": "Implementation uses cupy.left_shift() or the << operator for left shift operations on CuPy arrays",
      "max_score": 20
    },
    {
      "name": "Uses right_shift",
      "description": "Implementation uses cupy.right_shift() or the >> operator for right shift operations on CuPy arrays",
      "max_score": 20
    }
  ]
}