graph G {
    compound="true"
    rankdir="TB"
    bgcolor="white"
    fontname="Tahoma"

    node [
        fixedsize="false"
        fontname="Tahoma"
        color="white"
        fillcolor="deepskyblue2"
        fontcolor="black"
        shape="box"
        style="filled"
        penwidth="1.0"
    ]
    edge [
        fontname="Arial"
        color="#00688b"
        fontcolor="black"
        fontsize="12"
        arrowsize="0.5"
        penwidth="1.0"
    ]




    "[ml/eval/evaluation_pipeline.py]" -- "[ml/eval/alpaca.py]" [label=" 4 ", penwidth="4", color="#00688b93"];
    "[ml/eval/bt.py]" -- "[ml/eval/alpaca.py]" [label=" 4 ", penwidth="4", color="#00688b93"];
    "[ml/eval/evaluation_pipeline.py]" -- "[ml/eval/bt.py]" [label=" 4 ", penwidth="4", color="#00688b93"];
    "[ml/eval/evaluation_pipeline.py]" -- "[ml/dataset_transformer.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/generate.py]" -- "[ml/eval/bt.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/bt.py]" -- "[ml/dpo_pipeline.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/generate.py]" -- "[ml/dataset_transformer.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/alpaca.py]" -- "[ml/dpo_pipeline.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/evaluation_pipeline.py]" -- "[ml/eval/evaluate_arguments.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/generate.py]" -- "[ml/eval/alpaca.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/generate.py]" -- "[ml/eval/evaluation_pipeline.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/dpo_pipeline.py]" -- "[ml/dataset_transformer.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/reward_eval.py]" -- "[ml/eval/generate.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/reward_eval.py]" -- "[ml/eval/alpaca.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/reward_eval.py]" -- "[ml/eval/bt.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/generate.py]" -- "[ml/dpo_pipeline.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/reward_eval.py]" -- "[ml/dataset_transformer.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/generate_sanity_check.py]" -- "[ml/eval/evaluation_pipeline.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/reward_eval.py]" -- "[ml/dpo_pipeline.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[pyproject.toml]" -- "[app/app.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/bt.py]" -- "[ml/dataset_transformer.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/generate_sanity_check.py]" -- "[ml/eval/evaluate_arguments.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/reward_eval.py]" -- "[ml/eval/evaluation_pipeline.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/evaluation_pipeline.py]" -- "[ml/dpo_pipeline.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/eval/alpaca.py]" -- "[ml/dataset_transformer.py]" [label=" 3 ", penwidth="3", color="#00688b82"];
    "[ml/trainer.py]" -- "[ml/kto_dataset_processor.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/feel.yaml]" -- "[ml/dpo_pipeline.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/feel.yaml]" -- "[ml/eval/bt.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/adapter_metadata.py]" -- "[app/app.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/eval/reward_eval.py]" -- "[ml/eval/generate_sanity_check.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/eval/reward_eval.py]" -- "[ml/eval/evaluate_arguments.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/feel.yaml]" -- "[ml/eval/generate_sanity_check.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/feel.yaml]" -- "[ml/eval/evaluate_arguments.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[app/feedback.py]" -- "[app/app.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/eval/evaluate_arguments.py]" -- "[ml/dataset_transformer.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/eval/generate_sanity_check.py]" -- "[ml/eval/bt.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/trainer.py]" -- "[ml/adapter_metadata.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/eval/evaluate_arguments.py]" -- "[ml/dpo_pipeline.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/eval/evaluate_arguments.py]" -- "[ml/eval/alpaca.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/kto_dataset_processor.py]" -- "[ml/adapter_metadata.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/eval/generate.py]" -- "[ml/eval/evaluate_arguments.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/eval/generate_sanity_check.py]" -- "[ml/eval/generate.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/kto_dataset_processor.py]" -- "[app/app.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/eval/generate_sanity_check.py]" -- "[ml/dataset_transformer.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/eval/generate_sanity_check.py]" -- "[ml/dpo_pipeline.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[app/tempCodeRunnerFile.py]" -- "[app/app.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/feel.yaml]" -- "[ml/eval/evaluation_pipeline.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/feel.yaml]" -- "[ml/eval/generate.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/eval/evaluate_arguments.py]" -- "[ml/eval/bt.py]" [label=" 2 ", penwidth="2", color="#00688b70"];
    "[ml/eval/generate_sanity_check.py]" -- "[ml/eval/alpaca.py]" [label=" 2 ", penwidth="2", color="#00688b70"];

}