diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/_fd_X_host.npy b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/_fd_X_host.npy
new file mode 100644
index 0000000000000000000000000000000000000000..71253e1449082f83fac677d476c323a687dd85e6
--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/_fd_X_host.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e62899a86fca12a5b462c65d270b3c37cf263644b64d5fddfd2bdf0d188f1ec
+size 5579408
diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/_fd_gen.py b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/_fd_gen.py
new file mode 100644
index 0000000000000000000000000000000000000000..6ac8448cd47c3b3783a65e7217f275b9ac99eb14
--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/_fd_gen.py
@@ -0,0 +1,8 @@
+
+import joblib, pandas as pd
+m, meta = joblib.load(r'/work/output-SpecializedModels/n5/forestdiffusion/forest-n5-20260427_105738/forestdiffusion_model.joblib')
+# generate：batch_size 为样本数
+arr = m.generate(batch_size=int(17010))
+df = pd.DataFrame(arr, columns=meta["column_names"])
+df.to_csv(r'/work/output-SpecializedModels/n5/forestdiffusion/forest-n5-20260427_105738/forest-n5-17010-20260429_032331.csv', index=False)
+print("saved", len(df))
diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/_fd_meta_host.json b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/_fd_meta_host.json
new file mode 100644
index 0000000000000000000000000000000000000000..de7e887b967d7afd9105f7670186722a65e48dc5
--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/_fd_meta_host.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:75230234ac2623210adb58559484f73bfcd268bfea0eb224af897ed307c84ada
+size 1880
diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/_fd_train.py b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/_fd_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..66b92156fbaf21744798217a832d3574e6a43769
--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/_fd_train.py
@@ -0,0 +1,20 @@
+
+import shutil, json
+shutil.copy(r'/work/output-SpecializedModels/n5/forestdiffusion/forest-n5-20260427_105738/_fd_X_host.npy', '/tmp/fd_X.npy')
+with open(r'/work/output-SpecializedModels/n5/forestdiffusion/forest-n5-20260427_105738/_fd_meta_host.json') as f:
+    open('/tmp/fd_meta.json','w').write(f.read())
+
+import numpy as np, joblib, json, os
+from ForestDiffusion import ForestDiffusionModel
+X = np.load("/tmp/fd_X.npy")
+with open("/tmp/fd_meta.json") as f:
+    meta = json.load(f)
+cat_indexes = meta["cat_indexes"]
+m = ForestDiffusionModel(
+    X, n_t=20, n_estimators=100, duplicate_K=20, n_jobs=2,
+    model="xgboost", max_depth=6, tree_method="hist", cat_indexes=cat_indexes,
+)
+joblib.dump((m, meta), "/tmp/fd_model.joblib")
+print("ForestDiffusion train OK")
+
+shutil.copy('/tmp/fd_model.joblib', r'/work/output-SpecializedModels/n5/forestdiffusion/forest-n5-20260427_105738/forestdiffusion_model.joblib')
diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/forest-n5-17010-20260429_032331.csv b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/forest-n5-17010-20260429_032331.csv
new file mode 100644
index 0000000000000000000000000000000000000000..9ca18e75a4e8571dc427b095e908cdf4a352cc70
--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/forest-n5-17010-20260429_032331.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3dd38c813555b609d2a18f6ff77a3486e3ddacc6660b91a7236093d3a68f933d
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diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/forestdiffusion_model.joblib b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/forestdiffusion_model.joblib
new file mode 100644
index 0000000000000000000000000000000000000000..5fabf14b45afb523c97fb1cf3e216173369e26af
--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/forestdiffusion_model.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/input_snapshot.json b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/input_snapshot.json
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--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/models_fd/model.joblib b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/models_fd/model.joblib
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index 0000000000000000000000000000000000000000..5fabf14b45afb523c97fb1cf3e216173369e26af
--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/models_fd/model.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..b3aad602a688a34895b129c83a02f4db72425d05
--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 42956
diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/public_gate/public_gate_report.json b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/public_gate/public_gate_report.json
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index 0000000000000000000000000000000000000000..6ba05929f82d7b9d58551ea56d7202db1310bd5b
--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/public_gate/staged_input_manifest.json b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/public_gate/staged_input_manifest.json
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--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/runtime_result.json b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/runtime_result.json
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/forestdiffusion/adapter_report.json b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/forestdiffusion/adapter_report.json
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--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/forestdiffusion/adapter_report.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 331
diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/forestdiffusion/adapter_transforms_applied.json b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/forestdiffusion/adapter_transforms_applied.json
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+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/forestdiffusion/adapter_transforms_applied.json
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/forestdiffusion/model_input_manifest.json b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/forestdiffusion/model_input_manifest.json
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 43979
diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/staged_features.json b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/staged_features.json
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index 0000000000000000000000000000000000000000..9044091780209860e78a00c1842fc769071c526f
--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/test.csv b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/test.csv
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index 0000000000000000000000000000000000000000..b5a5085de2f99ef857c74ebea69b8c49b87f4a47
--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/train.csv b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..73fdadc6c761b490009d6c17b097dd3a054f09aa
--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/val.csv b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/val.csv
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--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/train_20260427_105739.log b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/train_20260427_105739.log
new file mode 100644
index 0000000000000000000000000000000000000000..fa5ae33bc19c1dc61a8a91b311d0c95ab95f842b
--- /dev/null
+++ b/syntheticSuccess/n5/forestdiffusion/forest-n5-20260427_105738/train_20260427_105739.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 25
diff --git a/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/_tabbyflow_gen.py b/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/_tabbyflow_gen.py
new file mode 100644
index 0000000000000000000000000000000000000000..ce9bdf9126163d1a397c898aff67fb7b66ba0535
--- /dev/null
+++ b/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/_tabbyflow_gen.py
@@ -0,0 +1,33 @@
+
+import os, shutil, subprocess, sys
+root = r"/workspace/ef-vfm"
+name = r"pipeline_ds"
+src = r"/work/output-SpecializedModels/n5/tabbyflow/tabbyflow-n5-20260424_005140/tabular_bundle/pipeline_ds"
+dst_data = os.path.join(root, "data", name)
+shutil.rmtree(dst_data, ignore_errors=True)
+shutil.copytree(src, dst_data)
+dst_syn = os.path.join(root, "synthetic", name)
+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(root)
+os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
+subprocess.check_call([
+    sys.executable, "main.py",
+    "--dataname", name, "--mode", "test", "--gpu", "0",
+    "--no_wandb", "--exp_name", r"adapter_tabbyflow-n5-20260424_005140",
+    "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_tabbyflow-n5-20260424_005140/model_500.pt",
+    "--num_samples_to_generate", str(int(17010)),
+])
+base = os.path.join(root, "ef_vfm", "result", name, r"adapter_tabbyflow-n5-20260424_005140")
+best = None
+best_t = -1.0
+for r, _, files in os.walk(base):
+    if "samples.csv" in files:
+        p = os.path.join(r, "samples.csv")
+        t = os.path.getmtime(p)
+        if t > best_t:
+            best_t, best = t, p
+if not best:
+    raise SystemExit("tabbyflow: no samples.csv in " + base)
+shutil.copy(best, r"/work/output-SpecializedModels/n5/tabbyflow/tabbyflow-n5-20260424_005140/tabbyflow-n5-17010-20260424_005708.csv")
diff --git a/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/_tabbyflow_train.py b/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/_tabbyflow_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..e3dbac797372960c7bfd4061ae1e7c66d7066d9f
--- /dev/null
+++ b/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/_tabbyflow_train.py
@@ -0,0 +1,22 @@
+
+import os, shutil, subprocess, sys
+root = r"/workspace/ef-vfm"
+name = r"pipeline_ds"
+src = r"/work/output-SpecializedModels/n5/tabbyflow/tabbyflow-n5-20260424_005140/tabular_bundle/pipeline_ds"
+os.makedirs(os.path.join(root, "data", name), exist_ok=True)
+dst_data = os.path.join(root, "data", name)
+dst_syn = os.path.join(root, "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(root)
+os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
+os.environ["EFVFM_SMOKE_STEPS"] = "500"
+os.environ["EFVFM_ADAPTER_TRAIN"] = "1"
+subprocess.check_call([
+    sys.executable, "main.py",
+    "--dataname", name, "--mode", "train", "--gpu", "0",
+    "--no_wandb", "--exp_name", r"adapter_tabbyflow-n5-20260424_005140",
+])
diff --git a/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/input_snapshot.json b/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/input_snapshot.json
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--- /dev/null
+++ b/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/models_tabbyflow/trained.pt b/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/models_tabbyflow/trained.pt
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--- /dev/null
+++ b/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/models_tabbyflow/trained.pt
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/public_gate/normalized_schema_snapshot.json
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--- /dev/null
+++ b/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/public_gate/normalized_schema_snapshot.json
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diff --git a/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/public_gate/public_gate_report.json b/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/public_gate/public_gate_report.json
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--- /dev/null
+++ b/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/public_gate/public_gate_report.json
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/public_gate/staged_input_manifest.json b/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/public_gate/staged_input_manifest.json
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--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/runtime_result.json b/syntheticSuccess/n5/tabbyflow/tabbyflow-n5-20260424_005140/runtime_result.json
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diff --git a/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/_fd_X_host.npy b/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/_fd_X_host.npy
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--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/_fd_gen.py b/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/_fd_gen.py
new file mode 100644
index 0000000000000000000000000000000000000000..685ab5037603f86c8f3f95190209a479a809ae45
--- /dev/null
+++ b/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/_fd_gen.py
@@ -0,0 +1,8 @@
+
+import joblib, pandas as pd
+m, meta = joblib.load(r'/work/output-SpecializedModels/n7/forestdiffusion/forest-n7-20260429_112717/forestdiffusion_model.joblib')
+# generate：batch_size 为样本数
+arr = m.generate(batch_size=int(5756))
+df = pd.DataFrame(arr, columns=meta["column_names"])
+df.to_csv(r'/work/output-SpecializedModels/n7/forestdiffusion/forest-n7-20260429_112717/forest-n7-5756-20260430_060445.csv', index=False)
+print("saved", len(df))
diff --git a/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/_fd_meta_host.json b/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/_fd_meta_host.json
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--- /dev/null
+++ b/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/_fd_meta_host.json
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/_fd_train.py b/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/_fd_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..061fde4065445e6de1678f2bbc6213238f34907c
--- /dev/null
+++ b/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/_fd_train.py
@@ -0,0 +1,20 @@
+
+import shutil, json
+shutil.copy(r'/work/output-SpecializedModels/n7/forestdiffusion/forest-n7-20260429_112717/_fd_X_host.npy', '/tmp/fd_X.npy')
+with open(r'/work/output-SpecializedModels/n7/forestdiffusion/forest-n7-20260429_112717/_fd_meta_host.json') as f:
+    open('/tmp/fd_meta.json','w').write(f.read())
+
+import numpy as np, joblib, json, os
+from ForestDiffusion import ForestDiffusionModel
+X = np.load("/tmp/fd_X.npy")
+with open("/tmp/fd_meta.json") as f:
+    meta = json.load(f)
+cat_indexes = meta["cat_indexes"]
+m = ForestDiffusionModel(
+    X, n_t=20, n_estimators=100, duplicate_K=20, n_jobs=2,
+    model="xgboost", max_depth=6, tree_method="hist", cat_indexes=cat_indexes,
+)
+joblib.dump((m, meta), "/tmp/fd_model.joblib")
+print("ForestDiffusion train OK")
+
+shutil.copy('/tmp/fd_model.joblib', r'/work/output-SpecializedModels/n7/forestdiffusion/forest-n7-20260429_112717/forestdiffusion_model.joblib')
diff --git a/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/forest-n7-5756-20260430_060445.csv b/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/forest-n7-5756-20260430_060445.csv
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+++ b/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/forest-n7-5756-20260430_060445.csv
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/forestdiffusion_model.joblib b/syntheticSuccess/n7/forestdiffusion/forest-n7-20260429_112717/forestdiffusion_model.joblib
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diff --git a/syntheticSuccess/n7/tabbyflow/tabbyflow-n7-20260424_005916/_tabbyflow_gen.py b/syntheticSuccess/n7/tabbyflow/tabbyflow-n7-20260424_005916/_tabbyflow_gen.py
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index 0000000000000000000000000000000000000000..5aae3ad258eb4485e698e7a28e3615d917ba475f
--- /dev/null
+++ b/syntheticSuccess/n7/tabbyflow/tabbyflow-n7-20260424_005916/_tabbyflow_gen.py
@@ -0,0 +1,33 @@
+
+import os, shutil, subprocess, sys
+root = r"/workspace/ef-vfm"
+name = r"pipeline_ds"
+src = r"/work/output-SpecializedModels/n7/tabbyflow/tabbyflow-n7-20260424_005916/tabular_bundle/pipeline_ds"
+dst_data = os.path.join(root, "data", name)
+shutil.rmtree(dst_data, ignore_errors=True)
+shutil.copytree(src, dst_data)
+dst_syn = os.path.join(root, "synthetic", name)
+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(root)
+os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
+subprocess.check_call([
+    sys.executable, "main.py",
+    "--dataname", name, "--mode", "test", "--gpu", "0",
+    "--no_wandb", "--exp_name", r"adapter_tabbyflow-n7-20260424_005916",
+    "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_tabbyflow-n7-20260424_005916/model_500.pt",
+    "--num_samples_to_generate", str(int(5756)),
+])
+base = os.path.join(root, "ef_vfm", "result", name, r"adapter_tabbyflow-n7-20260424_005916")
+best = None
+best_t = -1.0
+for r, _, files in os.walk(base):
+    if "samples.csv" in files:
+        p = os.path.join(r, "samples.csv")
+        t = os.path.getmtime(p)
+        if t > best_t:
+            best_t, best = t, p
+if not best:
+    raise SystemExit("tabbyflow: no samples.csv in " + base)
+shutil.copy(best, r"/work/output-SpecializedModels/n7/tabbyflow/tabbyflow-n7-20260424_005916/tabbyflow-n7-5756-20260424_010050.csv")
diff --git a/syntheticSuccess/n7/tabbyflow/tabbyflow-n7-20260424_005916/_tabbyflow_train.py b/syntheticSuccess/n7/tabbyflow/tabbyflow-n7-20260424_005916/_tabbyflow_train.py
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index 0000000000000000000000000000000000000000..ac9df391e50ab832f0528a1c113a10e2f5f156ae
--- /dev/null
+++ b/syntheticSuccess/n7/tabbyflow/tabbyflow-n7-20260424_005916/_tabbyflow_train.py
@@ -0,0 +1,22 @@
+
+import os, shutil, subprocess, sys
+root = r"/workspace/ef-vfm"
+name = r"pipeline_ds"
+src = r"/work/output-SpecializedModels/n7/tabbyflow/tabbyflow-n7-20260424_005916/tabular_bundle/pipeline_ds"
+os.makedirs(os.path.join(root, "data", name), exist_ok=True)
+dst_data = os.path.join(root, "data", name)
+dst_syn = os.path.join(root, "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(root)
+os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "")
+os.environ["EFVFM_SMOKE_STEPS"] = "500"
+os.environ["EFVFM_ADAPTER_TRAIN"] = "1"
+subprocess.check_call([
+    sys.executable, "main.py",
+    "--dataname", name, "--mode", "train", "--gpu", "0",
+    "--no_wandb", "--exp_name", r"adapter_tabbyflow-n7-20260424_005916",
+])
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diff --git a/syntheticSuccess/n9/forestdiffusion/forest-n9-20260429_212403/_fd_X_host.npy b/syntheticSuccess/n9/forestdiffusion/forest-n9-20260429_212403/_fd_X_host.npy
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diff --git a/syntheticSuccess/n9/forestdiffusion/forest-n9-20260429_212403/_fd_gen.py b/syntheticSuccess/n9/forestdiffusion/forest-n9-20260429_212403/_fd_gen.py
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index 0000000000000000000000000000000000000000..1e17539dfebb833bf121256470d4b853ecf4ceab
--- /dev/null
+++ b/syntheticSuccess/n9/forestdiffusion/forest-n9-20260429_212403/_fd_gen.py
@@ -0,0 +1,8 @@
+
+import joblib, pandas as pd
+m, meta = joblib.load(r'/work/output-SpecializedModels/n9/forestdiffusion/forest-n9-20260429_212403/forestdiffusion_model.joblib')
+# generate：batch_size 为样本数
+arr = m.generate(batch_size=int(8794))
+df = pd.DataFrame(arr, columns=meta["column_names"])
+df.to_csv(r'/work/output-SpecializedModels/n9/forestdiffusion/forest-n9-20260429_212403/forest-n9-8794-20260430_052409.csv', index=False)
+print("saved", len(df))
diff --git a/syntheticSuccess/n9/forestdiffusion/forest-n9-20260429_212403/_fd_meta_host.json b/syntheticSuccess/n9/forestdiffusion/forest-n9-20260429_212403/_fd_meta_host.json
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--- /dev/null
+++ b/syntheticSuccess/n9/forestdiffusion/forest-n9-20260429_212403/_fd_meta_host.json
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/n9/forestdiffusion/forest-n9-20260429_212403/_fd_train.py b/syntheticSuccess/n9/forestdiffusion/forest-n9-20260429_212403/_fd_train.py
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index 0000000000000000000000000000000000000000..c72be8f550d8a528efb3b07be88525acb5db3e73
--- /dev/null
+++ b/syntheticSuccess/n9/forestdiffusion/forest-n9-20260429_212403/_fd_train.py
@@ -0,0 +1,20 @@
+
+import shutil, json
+shutil.copy(r'/work/output-SpecializedModels/n9/forestdiffusion/forest-n9-20260429_212403/_fd_X_host.npy', '/tmp/fd_X.npy')
+with open(r'/work/output-SpecializedModels/n9/forestdiffusion/forest-n9-20260429_212403/_fd_meta_host.json') as f:
+    open('/tmp/fd_meta.json','w').write(f.read())
+
+import numpy as np, joblib, json, os
+from ForestDiffusion import ForestDiffusionModel
+X = np.load("/tmp/fd_X.npy")
+with open("/tmp/fd_meta.json") as f:
+    meta = json.load(f)
+cat_indexes = meta["cat_indexes"]
+m = ForestDiffusionModel(
+    X, n_t=20, n_estimators=100, duplicate_K=20, n_jobs=2,
+    model="xgboost", max_depth=6, tree_method="hist", cat_indexes=cat_indexes,
+)
+joblib.dump((m, meta), "/tmp/fd_model.joblib")
+print("ForestDiffusion train OK")
+
+shutil.copy('/tmp/fd_model.joblib', r'/work/output-SpecializedModels/n9/forestdiffusion/forest-n9-20260429_212403/forestdiffusion_model.joblib')
diff --git a/syntheticSuccess/n9/forestdiffusion/forest-n9-20260429_212403/forest-n9-8794-20260430_052409.csv b/syntheticSuccess/n9/forestdiffusion/forest-n9-20260429_212403/forest-n9-8794-20260430_052409.csv
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