kaira.benchmarks.BenchmarkVisualizer

Inheritance diagram for BenchmarkVisualizer

class kaira.benchmarks.BenchmarkVisualizer(figsize: tuple = (10, 6), dpi: int = 100)

Bases: object

Visualizer for benchmark results.

Methods

__init__	Initialize visualizer.
create_benchmark_report	Create a comprehensive visual report from benchmark results.
plot_benchmark_summary	Plot summary of multiple benchmark results.
plot_ber_curve	Plot BER vs SNR curve.
plot_coding_gain	Plot coding gain vs SNR.
plot_constellation	Plot constellation diagram.
plot_latency_distribution	Plot latency distribution.
plot_throughput_comparison	Plot throughput comparison.

__init__(figsize: tuple = (10, 6), dpi: int = 100)

Initialize visualizer.

Parameters:

• figsize – Figure size in inches (width, height)

• dpi – Figure resolution

plot_ber_curve(results: Dict[str, Any], save_path: str | None = None) → Figure

Plot BER vs SNR curve.

Parameters:

• results – Benchmark results containing SNR and BER data

• save_path – Optional path to save the figure

Returns:

Matplotlib figure object

plot_throughput_comparison(results: Dict[str, Any], save_path: str | None = None) → Figure

Plot throughput comparison.

Parameters:

• results – Benchmark results containing throughput data

• save_path – Optional path to save the figure

Returns:

Matplotlib figure object

plot_latency_distribution(results: Dict[str, Any], save_path: str | None = None) → Figure

Plot latency distribution.

Parameters:

• results – Benchmark results containing latency data

• save_path – Optional path to save the figure

Returns:

Matplotlib figure object

plot_constellation(constellation: Tensor, received_symbols: Tensor | None = None, save_path: str | None = None) → Figure

Plot constellation diagram.

Parameters:

• constellation – Ideal constellation points

• received_symbols – Optional received symbols to overlay

• save_path – Optional path to save the figure

Returns:

Matplotlib figure object

plot_coding_gain(results: Dict[str, Any], save_path: str | None = None) → Figure

Plot coding gain vs SNR.

Parameters:

• results – Benchmark results containing coding gain data

• save_path – Optional path to save the figure

Returns:

Matplotlib figure object

plot_benchmark_summary(results_file: str, save_path: str | None = None) → Figure

Plot summary of multiple benchmark results.

Parameters:

• results_file – Path to JSON file containing benchmark results

• save_path – Optional path to save the figure

Returns:

Matplotlib figure object

create_benchmark_report(results_file: str, output_dir: str = 'benchmark_plots')

Create a comprehensive visual report from benchmark results.

Parameters:

• results_file – Path to JSON file containing benchmark results

• output_dir – Directory to save plots