Oleksandr Pavlyk de8d0b7368 Implement mapping interface for BenchResult ...

This allows for Pythonic way of working with BenchResult
as if it was a dictionary.

```
In [1]: import array, numpy as np, cuda.bench

In [2]: r = cuda.bench.BenchResult("temp_data/axes_run1.json")

In [3]: list(r)
Out[3]:
['simple',
 'single_float64_axis',
 'copy_sweep_grid_shape',
 'copy_type_sweep',
 'copy_type_conversion_sweep',
 'copy_type_and_block_size_sweep']

In [4]: r["simple"].centers(lambda t: np.percentile(t, [25,75]))
Out[4]: {'Device=0': array([0.00100966, 0.00101299])}

In [5]: r.centers(lambda t: np.percentile(t, [25,75]))["simple"]
Out[5]: {'Device=0': array([0.00100966, 0.00101299])}

In [6]: len(r)
Out[6]: 6

In [7]: "fake" in r
Out[7]: False
```

2026-05-08 16:10:28 -05:00

..

bench

Implement mapping interface for BenchResult

2026-05-08 16:10:28 -05:00