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import os, shutil, subprocess, sys
td = r"/workspace/TabDiff"
name = r"pipeline_n3"
src = r"/work/output-Benchmark-trainonly-v1/n3/tabdiff/tabdiff-n3-20260504_204815/tabular_bundle/pipeline_n3"
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", "")
subprocess.check_call([
sys.executable, "-m", "tabdiff.main",
"--dataname", name, "--mode", "test", "--gpu", "0",
"--no_wandb", "--exp_name", r"adapter_learnable",
"--ckpt_path", r"/workspace/TabDiff/tabdiff/ckpt/pipeline_n3/adapter_learnable/model_800.pt",
"--num_samples_to_generate", str(int(3918)),
])
# test() 写入 tabdiff/result/<dataname>/<exp>/<epoch>/samples.csv
import glob as g
base = os.path.join(td, "tabdiff", "result", name, r"adapter_learnable")
best = None
best_t = -1.0
for root, _, files in os.walk(base):
if "samples.csv" in files:
p = os.path.join(root, "samples.csv")
t = os.path.getmtime(p)
if t > best_t:
best_t = t
best = p
if not best:
raise SystemExit("tabdiff: no samples.csv under " + base)
shutil.copy(best, r"/work/output-Benchmark-trainonly-v1/n3/tabdiff/tabdiff-n3-20260504_204815/tabdiff-n3-3918-20260504_210307.csv")
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