Malformed values are now represented in result as None.
Skipped benchmarks are no longer dropped, i.e., they are present
in BenchmarkResult data, but they are not reflected in summary
table in line with what NVBench-instrumented benchmarks do.
Move NVBench JSON result parsing into cuda.bench.results with explicit
BenchmarkResult, BenchmarkResultDevice, BenchmarkResultSummary,
SubBenchmarkResult, and SubBenchmarkState types. Remove the result reader
from the top-level cuda.bench namespace and require construction through
BenchmarkResult.from_json() or BenchmarkResult.empty().
Preserve bulk sample/frequency parsing and estimator helpers while making
summaries rich objects that retain tag/name/hint/hide/description metadata.
Add nvbench-json-summary to render NVBench JSON output as an NVBench-style
markdown summary table, including axis formatting, device sections, hidden
summary filtering, and summary hint formatting.
Update packaging, type stubs, and tests for the new namespace, renamed
classes, Python 3.10-compatible annotations, and summary-table generation.
