import os, shutil, subprocess, sys
td = r"/workspace/TabDiff"
name = r"pipeline_c2"
src = r"/work/output-Benchmark-trainonly-v1/c2/tabdiff/tabdiff-c2-20260504_192001/tabular_bundle/pipeline_c2"
dst_data = os.path.join(td, "data", name)
dst_syn = os.path.join(td, "synthetic", name)
shutil.rmtree(dst_data, ignore_errors=True)
shutil.copytree(src, dst_data)
os.makedirs(dst_syn, exist_ok=True)
for fn in ("real.csv", "test.csv", "val.csv"):
    shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn))
os.chdir(td)
os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "")
os.environ["TABDIFF_SMOKE_STEPS"] = "500"
os.environ["TABDIFF_ADAPTER_TRAIN"] = "1"
subprocess.check_call([
    sys.executable, "-m", "tabdiff.main",
    "--dataname", name, "--mode", "train", "--gpu", "0",
    "--no_wandb", "--exp_name", r"adapter_learnable",
])