# /// script
# requires-python = ">=3.10"
# dependencies = [
#     "numpy",
#     "torch==2.8.0",
#     "kernels-benchmark-tools",
#     "matplotlib",
# ]
#
# [tool.uv.sources]
# kernels-benchmark-tools = { path = "../../../../../tools", editable = true }
# ///
from kernels_benchmark_tools.core.visuals import generate_combined_results

# Map display names to uvnote environment variables
cache_env_map = {
    # "PyTorch OpenAI MoE": "UVNOTE_FILE_TORCH_OPENAI_MOE_BENCHMARK",
    "Binned PyTorch": "UVNOTE_FILE_BINNED_TORCH_BENCHMARK",
    "GptOssExperts": "UVNOTE_FILE_GPT_OSS_MOE_BENCHMARK",
}

# Generate combined results with visualization
generate_combined_results(
    cache_env_map=cache_env_map,
    output_filename="openai_moe.jsonl",
    svg_filename="latency.svg"
)