Add syntheticFail n6

syntheticFail/n6/arf/arf-n6-20260429_031104/_arf_train.py

@@ -0,0 +1,37 @@
+import pickle
+import numpy as np
+import pandas as pd
+from arfpy import arf
+
+def _sanitize_for_arf(df: pd.DataFrame) -> pd.DataFrame:
+    """缓解 forge 阶段 scipy.stats.truncnorm / 除零：处理 inf、NaN 与极端尾部。"""
+    df = df.replace([np.inf, -np.inf], np.nan)
+    df = df.dropna(axis=1, how="all")
+    for col in df.select_dtypes(include=[np.number]).columns:
+        med = df[col].median()
+        if pd.isna(med):
+            med = 0.0
+        df[col] = df[col].fillna(med)
+        nu = int(df[col].nunique(dropna=True))
+        if nu <= 1:
+            continue
+        lo, hi = df[col].quantile(0.001), df[col].quantile(0.999)
+        if pd.notna(lo) and pd.notna(hi) and lo < hi:
+            df[col] = df[col].clip(lo, hi)
+    return df
+
+df = pd.read_csv("/work/output-Benchmark-trainonly-v1/n6/arf/arf-n6-20260429_031104/staged/public/train.csv")
+df = _sanitize_for_arf(df)
+print(f"[ARF] Training on {len(df)} rows, {len(df.columns)} cols")
+
+model = arf.arf(x=df)
+if hasattr(model, "fit"):
+    model.fit()
+elif hasattr(model, "forde"):
+    model.forde()
+else:
+    raise RuntimeError("arfpy API: no fit() / forde()")
+
+with open("/work/output-Benchmark-trainonly-v1/n6/arf/arf-n6-20260429_031104/arf_model.pkl", "wb") as f:
+    pickle.dump(model, f)
+print(f"[ARF] Model saved -> /work/output-Benchmark-trainonly-v1/n6/arf/arf-n6-20260429_031104/arf_model.pkl")

syntheticFail/n6/arf/arf-n6-20260429_031104/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "n6",
+  "model": "arf",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n6/n6-train.csv",
+      "exists": true,
+      "size": 323303,
+      "sha256": "3b9d646393340b4c636db7686f2313521d84434e99ac1316b1053b05c995a3b1"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n6/n6-val.csv",
+      "exists": true,
+      "size": 40506,
+      "sha256": "74a01693febbfda57225ebbec2f7a9c22a2136edbec694b108b50c013cd6fe9d"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n6/n6-test.csv",
+      "exists": true,
+      "size": 40719,
+      "sha256": "46f32b813d7849636da5a0a7aa560ea062b8f5765772dc1a8268f756cdb2fbcc"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n6/n6-dataset_profile.json",
+      "exists": true,
+      "size": 6559,
+      "sha256": "c3a4ba3662399f797ed5ac4ea171e2991e3f3ac9ea221ba345c132e11450d759"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n6/n6-dataset_contract_v1.json",
+      "exists": true,
+      "size": 8304,
+      "sha256": "979119ea8d3be4588170ff59aa802156a0a5ecaf4312599a8b2998d38b69fba5"
+    }
+  }
+}

syntheticFail/n6/arf/arf-n6-20260429_031104/public_gate/normalized_schema_snapshot.json

@@ -0,0 +1,363 @@
+{
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+  "target_column": "y",
+  "task_type": "classification",
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syntheticFail/n6/arf/arf-n6-20260429_031104/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
+{
+  "dataset_id": "n6",
+  "status": "pass",
+  "checks": [
+    {
+      "check_id": "PG001_csv_parse_ok",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG002_split_header_consistent",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG005_semantic_type_validated",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "y",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n6/n6-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n6/n6-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n6/n6-test.csv"
+  }
+}

syntheticFail/n6/arf/arf-n6-20260429_031104/public_gate/staged_input_manifest.json

@@ -0,0 +1,368 @@
+{
+  "dataset_id": "n6",
+  "target_column": "y",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n6/arf/arf-n6-20260429_031104/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n6/arf/arf-n6-20260429_031104/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n6/arf/arf-n6-20260429_031104/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n6/arf/arf-n6-20260429_031104/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n6/arf/arf-n6-20260429_031104/public_gate/public_gate_report.json",
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syntheticFail/n6/arf/arf-n6-20260429_031104/runtime_result.json

@@ -0,0 +1,12 @@
+{
+  "dataset_id": "n6",
+  "model": "arf",
+  "run_id": "arf-n6-20260429_031104",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "fail",
+  "generate_status": "skipped",
+  "reason_code": "adapter_runtime_error",
+  "reason_detail": "[Errno 32] Broken pipe",
+  "artifacts": {}
+}

syntheticFail/n6/arf/arf-n6-20260429_031104/staged/arf/adapter_report.json

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+{
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+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
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+}

syntheticFail/n6/arf/arf-n6-20260429_031104/staged/arf/adapter_transforms_applied.json

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+[]

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+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n6/arf/arf-n6-20260429_031104/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n6/arf/arf-n6-20260429_031104/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n6/arf/arf-n6-20260429_031104/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n6/arf/arf-n6-20260429_031104/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n6/arf/arf-n6-20260429_031104/public_gate/public_gate_report.json"
+}

syntheticFail/n6/arf/arf-n6-20260429_031104/staged/public/staged_features.json

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syntheticFail/n6/arf/arf-n6-20260429_031104/staged/public/test.csv

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syntheticFail/n6/arf/arf-n6-20260429_031104/staged/public/train.csv

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+size 316902

syntheticFail/n6/arf/arf-n6-20260429_031104/staged/public/val.csv

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+size 39705

syntheticFail/n6/forestdiffusion/forest-n6-20260429_081631/_fd_X_host.npy

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+version https://git-lfs.github.com/spec/v1
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+size 435328

syntheticFail/n6/forestdiffusion/forest-n6-20260429_081631/_fd_meta_host.json

@@ -0,0 +1 @@
+{"column_names": ["X1", "X2", "X3", "X4", "X5", "X6", "X7", "X8", "X9", "X10", "X11", "X12", "X13", "X14", "X15", "X16", "y"], "cat_indexes": []}

syntheticFail/n6/forestdiffusion/forest-n6-20260429_081631/_fd_train.py

@@ -0,0 +1,28 @@
+
+import shutil, json
+shutil.copy(r'/work/output-Benchmark-trainonly-v1/n6/forestdiffusion/forest-n6-20260429_081631/_fd_X_host.npy', '/tmp/fd_X.npy')
+with open(r'/work/output-Benchmark-trainonly-v1/n6/forestdiffusion/forest-n6-20260429_081631/_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"]
+print(
+    "[ForestDiffusion] train config: "
+    f"rows={X.shape[0]} cols={X.shape[1]} n_t=20 "
+    f"n_estimators=100 duplicate_K=20 n_jobs=2 "
+    f"xgb_verbosity=1",
+    flush=True,
+)
+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,
+    verbosity=1,
+)
+joblib.dump((m, meta), "/tmp/fd_model.joblib")
+print("ForestDiffusion train OK")
+
+shutil.copy('/tmp/fd_model.joblib', r'/work/output-Benchmark-trainonly-v1/n6/forestdiffusion/forest-n6-20260429_081631/forestdiffusion_model.joblib')

syntheticFail/n6/forestdiffusion/forest-n6-20260429_081631/input_snapshot.json

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+{
+  "dataset_id": "n6",
+  "model": "forestdiffusion",
+  "inputs": {
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+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n6/n6-train.csv",
+      "exists": true,
+      "size": 323303,
+      "sha256": "3b9d646393340b4c636db7686f2313521d84434e99ac1316b1053b05c995a3b1"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n6/n6-val.csv",
+      "exists": true,
+      "size": 40506,
+      "sha256": "74a01693febbfda57225ebbec2f7a9c22a2136edbec694b108b50c013cd6fe9d"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n6/n6-test.csv",
+      "exists": true,
+      "size": 40719,
+      "sha256": "46f32b813d7849636da5a0a7aa560ea062b8f5765772dc1a8268f756cdb2fbcc"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n6/n6-dataset_profile.json",
+      "exists": true,
+      "size": 6559,
+      "sha256": "c3a4ba3662399f797ed5ac4ea171e2991e3f3ac9ea221ba345c132e11450d759"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n6/n6-dataset_contract_v1.json",
+      "exists": true,
+      "size": 8304,
+      "sha256": "979119ea8d3be4588170ff59aa802156a0a5ecaf4312599a8b2998d38b69fba5"
+    }
+  }
+}

syntheticFail/n6/forestdiffusion/forest-n6-20260429_081631/public_gate/normalized_schema_snapshot.json

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+  "target_column": "y",
+  "task_type": "classification",
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syntheticFail/n6/forestdiffusion/forest-n6-20260429_081631/public_gate/public_gate_report.json

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+}

syntheticFail/n6/forestdiffusion/forest-n6-20260429_081631/public_gate/staged_input_manifest.json

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syntheticFail/n6/forestdiffusion/forest-n6-20260429_081631/runtime_result.json

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+  "artifacts": {}
+}

syntheticFail/n6/forestdiffusion/forest-n6-20260429_081631/staged/forestdiffusion/adapter_report.json

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syntheticFail/n6/forestdiffusion/forest-n6-20260429_081631/staged/forestdiffusion/adapter_transforms_applied.json

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