diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/_fd_X_host.npy b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/_fd_X_host.npy
new file mode 100644
index 0000000000000000000000000000000000000000..0d82db534252879885bb76203b24c28042ad30b3
--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/_fd_X_host.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:87fa2899613f48fe7b0c0ca2c518ce2896ebd26e7d2025b33665328cc8ad9b42
+size 196352
diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/_fd_gen.py b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/_fd_gen.py
new file mode 100644
index 0000000000000000000000000000000000000000..2966e08f795e9a64c23a7db3a238044090631c1d
--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/_fd_gen.py
@@ -0,0 +1,8 @@
+
+import joblib, pandas as pd
+m, meta = joblib.load(r'/work/output-SpecializedModels/m7/forestdiffusion/forest-m7-20260425_024652/forestdiffusion_model.joblib')
+# generate：batch_size 为样本数
+arr = m.generate(batch_size=int(4088))
+df = pd.DataFrame(arr, columns=meta["column_names"])
+df.to_csv(r'/work/output-SpecializedModels/m7/forestdiffusion/forest-m7-20260425_024652/forest-m7-4088-20260425_150407.csv', index=False)
+print("saved", len(df))
diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/_fd_meta_host.json b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/_fd_meta_host.json
new file mode 100644
index 0000000000000000000000000000000000000000..e225dae4d3c580b150ae5722d9b65615fe5cb610
--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/_fd_meta_host.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e86e81c60fa31a4473bb91b1b00fb093c18ac84eb6c4ef84814633cf71aa5cc1
+size 216
diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/_fd_train.py b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/_fd_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..78fa3606575c7d77a9b916d4a92f943a7ea74e7a
--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/_fd_train.py
@@ -0,0 +1,20 @@
+
+import shutil, json
+shutil.copy(r'/work/output-SpecializedModels/m7/forestdiffusion/forest-m7-20260425_024652/_fd_X_host.npy', '/tmp/fd_X.npy')
+with open(r'/work/output-SpecializedModels/m7/forestdiffusion/forest-m7-20260425_024652/_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/m7/forestdiffusion/forest-m7-20260425_024652/forestdiffusion_model.joblib')
diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/forest-m7-4088-20260425_150407.csv b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/forest-m7-4088-20260425_150407.csv
new file mode 100644
index 0000000000000000000000000000000000000000..4c220f698a6537bea09baf843e0f1e5e6a10e94a
--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/forest-m7-4088-20260425_150407.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/forestdiffusion_model.joblib b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/forestdiffusion_model.joblib
new file mode 100644
index 0000000000000000000000000000000000000000..bbc943f68145365a93e3b161c20b10f08b9fd5ed
--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/forestdiffusion_model.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/input_snapshot.json b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/input_snapshot.json
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--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/input_snapshot.json
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/models_fd/model.joblib b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/models_fd/model.joblib
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--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/models_fd/model.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/public_gate/normalized_schema_snapshot.json
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--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/public_gate/normalized_schema_snapshot.json
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/public_gate/public_gate_report.json b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/public_gate/public_gate_report.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/m7/forestdiffusion/forest-m7-20260425_024652/public_gate/staged_input_manifest.json b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/public_gate/staged_input_manifest.json
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/runtime_result.json b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/runtime_result.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/m7/forestdiffusion/forest-m7-20260425_024652/staged/forestdiffusion/adapter_report.json b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/forestdiffusion/adapter_report.json
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--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/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/m7/forestdiffusion/forest-m7-20260425_024652/staged/forestdiffusion/adapter_transforms_applied.json b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/forestdiffusion/adapter_transforms_applied.json
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+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/forestdiffusion/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/forestdiffusion/model_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 6439
diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/public/staged_features.json b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/public/staged_features.json
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index 0000000000000000000000000000000000000000..5518e0fa9584adb762220ce9a013055666bbaa9e
--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 1144
diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/public/test.csv b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/public/test.csv
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index 0000000000000000000000000000000000000000..62356a4507e26f001358cade2a3cfad46c7591ed
--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 32934
diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/public/train.csv b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/public/train.csv
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--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/public/train.csv
@@ -0,0 +1,3 @@
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+size 262059
diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/public/val.csv b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/public/val.csv
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--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/staged/public/val.csv
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diff --git a/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/train_20260425_024652.log b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/train_20260425_024652.log
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index 0000000000000000000000000000000000000000..fa5ae33bc19c1dc61a8a91b311d0c95ab95f842b
--- /dev/null
+++ b/syntheticSuccess/m7/forestdiffusion/forest-m7-20260425_024652/train_20260425_024652.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 25
diff --git a/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/_tabbyflow_gen.py b/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/_tabbyflow_gen.py
new file mode 100644
index 0000000000000000000000000000000000000000..754997b01eb672761319da3c4b0448de3e61847b
--- /dev/null
+++ b/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/_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/m7/tabbyflow/tabbyflow-m7-20260420_103649/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_efvfm",
+    "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_efvfm/model_500.pt",
+    "--num_samples_to_generate", str(int(4088)),
+])
+base = os.path.join(root, "ef_vfm", "result", name, r"adapter_efvfm")
+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/m7/tabbyflow/tabbyflow-m7-20260420_103649/tabbyflow-m7-4088-20260420_104315.csv")
diff --git a/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/_tabbyflow_train.py b/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/_tabbyflow_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..8ee1726446a01d77905a67d490c32682717f29d2
--- /dev/null
+++ b/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/_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/m7/tabbyflow/tabbyflow-m7-20260420_103649/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_efvfm",
+])
diff --git a/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/input_snapshot.json b/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/input_snapshot.json
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--- /dev/null
+++ b/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/models_tabbyflow/trained.pt b/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/models_tabbyflow/trained.pt
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--- /dev/null
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diff --git a/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/public_gate/normalized_schema_snapshot.json
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--- /dev/null
+++ b/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/public_gate/normalized_schema_snapshot.json
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/public_gate/public_gate_report.json b/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/public_gate/public_gate_report.json
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--- /dev/null
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diff --git a/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/public_gate/staged_input_manifest.json b/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/public_gate/staged_input_manifest.json
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--- /dev/null
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diff --git a/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/runtime_result.json b/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/runtime_result.json
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+++ b/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/runtime_result.json
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diff --git a/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/train_20260420_103649.log b/syntheticSuccess/m7/tabbyflow/tabbyflow-m7-20260420_103649/train_20260420_103649.log
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--- /dev/null
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@@ -0,0 +1,3 @@
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diff --git a/syntheticSuccess/m7/tabdiff/tabdiff-m7-20260420_102946/_tabdiff_gen.py b/syntheticSuccess/m7/tabdiff/tabdiff-m7-20260420_102946/_tabdiff_gen.py
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index 0000000000000000000000000000000000000000..bdfe1a980e7fec039fcb54b5f7d667cd056071b0
--- /dev/null
+++ b/syntheticSuccess/m7/tabdiff/tabdiff-m7-20260420_102946/_tabdiff_gen.py
@@ -0,0 +1,36 @@
+
+import os, shutil, subprocess, sys
+td = r"/workspace/TabDiff"
+name = r"pipeline_ds"
+src = r"/work/output-SpecializedModels/m7/tabdiff/tabdiff-m7-20260420_102946/tabular_bundle/pipeline_ds"
+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_ds/adapter_learnable/model_500.pt",
+    "--num_samples_to_generate", str(int(4088)),
+])
+# 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-SpecializedModels/m7/tabdiff/tabdiff-m7-20260420_102946/tabdiff-m7-4088-20260420_103636.csv")
diff --git a/syntheticSuccess/m7/tabdiff/tabdiff-m7-20260420_102946/_tabdiff_train.py b/syntheticSuccess/m7/tabdiff/tabdiff-m7-20260420_102946/_tabdiff_train.py
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--- /dev/null
+++ b/syntheticSuccess/m7/tabdiff/tabdiff-m7-20260420_102946/_tabdiff_train.py
@@ -0,0 +1,21 @@
+
+import os, shutil, subprocess, sys
+td = r"/workspace/TabDiff"
+name = r"pipeline_ds"
+src = r"/work/output-SpecializedModels/m7/tabdiff/tabdiff-m7-20260420_102946/tabular_bundle/pipeline_ds"
+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",
+])
diff --git a/syntheticSuccess/m7/tabdiff/tabdiff-m7-20260420_102946/input_snapshot.json b/syntheticSuccess/m7/tabdiff/tabdiff-m7-20260420_102946/input_snapshot.json
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+++ b/syntheticSuccess/m7/tabdiff/tabdiff-m7-20260420_102946/input_snapshot.json
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+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/m9/forestdiffusion/forest-m9-20260425_150810/_fd_X_host.npy b/syntheticSuccess/m9/forestdiffusion/forest-m9-20260425_150810/_fd_X_host.npy
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--- /dev/null
+++ b/syntheticSuccess/m9/forestdiffusion/forest-m9-20260425_150810/_fd_X_host.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/m9/forestdiffusion/forest-m9-20260425_150810/_fd_gen.py b/syntheticSuccess/m9/forestdiffusion/forest-m9-20260425_150810/_fd_gen.py
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index 0000000000000000000000000000000000000000..e89dd8e01e28ddaff14b445429eddec6d9627ecd
--- /dev/null
+++ b/syntheticSuccess/m9/forestdiffusion/forest-m9-20260425_150810/_fd_gen.py
@@ -0,0 +1,8 @@
+
+import joblib, pandas as pd
+m, meta = joblib.load(r'/work/output-SpecializedModels/m9/forestdiffusion/forest-m9-20260425_150810/forestdiffusion_model.joblib')
+# generate：batch_size 为样本数
+arr = m.generate(batch_size=int(15326))
+df = pd.DataFrame(arr, columns=meta["column_names"])
+df.to_csv(r'/work/output-SpecializedModels/m9/forestdiffusion/forest-m9-20260425_150810/forest-m9-15326-20260429_171929.csv', index=False)
+print("saved", len(df))
diff --git a/syntheticSuccess/m9/forestdiffusion/forest-m9-20260425_150810/_fd_meta_host.json b/syntheticSuccess/m9/forestdiffusion/forest-m9-20260425_150810/_fd_meta_host.json
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--- /dev/null
+++ b/syntheticSuccess/m9/forestdiffusion/forest-m9-20260425_150810/_fd_meta_host.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/syntheticSuccess/m9/forestdiffusion/forest-m9-20260425_150810/_fd_train.py b/syntheticSuccess/m9/forestdiffusion/forest-m9-20260425_150810/_fd_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..b3b93a20a24a5a7ffec51a2f10eaaf11f180cd7b
--- /dev/null
+++ b/syntheticSuccess/m9/forestdiffusion/forest-m9-20260425_150810/_fd_train.py
@@ -0,0 +1,20 @@
+
+import shutil, json
+shutil.copy(r'/work/output-SpecializedModels/m9/forestdiffusion/forest-m9-20260425_150810/_fd_X_host.npy', '/tmp/fd_X.npy')
+with open(r'/work/output-SpecializedModels/m9/forestdiffusion/forest-m9-20260425_150810/_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/m9/forestdiffusion/forest-m9-20260425_150810/forestdiffusion_model.joblib')
diff --git a/syntheticSuccess/m9/forestdiffusion/forest-m9-20260425_150810/forest-m9-15326-20260429_171929.csv b/syntheticSuccess/m9/forestdiffusion/forest-m9-20260425_150810/forest-m9-15326-20260429_171929.csv
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diff --git a/syntheticSuccess/n1/forestdiffusion/forest-n1-20260426_114738/_fd_X_host.npy b/syntheticSuccess/n1/forestdiffusion/forest-n1-20260426_114738/_fd_X_host.npy
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diff --git a/syntheticSuccess/n1/forestdiffusion/forest-n1-20260426_114738/_fd_gen.py b/syntheticSuccess/n1/forestdiffusion/forest-n1-20260426_114738/_fd_gen.py
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--- /dev/null
+++ b/syntheticSuccess/n1/forestdiffusion/forest-n1-20260426_114738/_fd_gen.py
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+
+import joblib, pandas as pd
+m, meta = joblib.load(r'/work/output-SpecializedModels/n1/forestdiffusion/forest-n1-20260426_114738/forestdiffusion_model.joblib')
+# generate：batch_size 为样本数
+arr = m.generate(batch_size=int(3680))
+df = pd.DataFrame(arr, columns=meta["column_names"])
+df.to_csv(r'/work/output-SpecializedModels/n1/forestdiffusion/forest-n1-20260426_114738/forest-n1-3680-20260429_212343.csv', index=False)
+print("saved", len(df))
diff --git a/syntheticSuccess/n1/forestdiffusion/forest-n1-20260426_114738/_fd_meta_host.json b/syntheticSuccess/n1/forestdiffusion/forest-n1-20260426_114738/_fd_meta_host.json
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--- /dev/null
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diff --git a/syntheticSuccess/n1/forestdiffusion/forest-n1-20260426_114738/_fd_train.py b/syntheticSuccess/n1/forestdiffusion/forest-n1-20260426_114738/_fd_train.py
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index 0000000000000000000000000000000000000000..261f39d95f127bc30d0beb723ce82298f7837e07
--- /dev/null
+++ b/syntheticSuccess/n1/forestdiffusion/forest-n1-20260426_114738/_fd_train.py
@@ -0,0 +1,20 @@
+
+import shutil, json
+shutil.copy(r'/work/output-SpecializedModels/n1/forestdiffusion/forest-n1-20260426_114738/_fd_X_host.npy', '/tmp/fd_X.npy')
+with open(r'/work/output-SpecializedModels/n1/forestdiffusion/forest-n1-20260426_114738/_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/n1/forestdiffusion/forest-n1-20260426_114738/forestdiffusion_model.joblib')
diff --git a/syntheticSuccess/n1/forestdiffusion/forest-n1-20260426_114738/forest-n1-3680-20260429_212343.csv b/syntheticSuccess/n1/forestdiffusion/forest-n1-20260426_114738/forest-n1-3680-20260429_212343.csv
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