Add syntheticFail c4

syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/_fd_X_host.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e794179fed0c3687b848213d44e032a3e33b4023229518cd49d24bbc3de9028d
+size 151680

syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/_fd_gen.py

@@ -0,0 +1,8 @@
+
+import joblib, pandas as pd
+m, meta = joblib.load(r'/work/output-Benchmark-trainonly-v1/c4/forestdiffusion/forest-c4-20260510_202550/forestdiffusion_model.joblib')
+# generate：batch_size 为样本数
+arr = m.generate(batch_size=int(2557))
+df = pd.DataFrame(arr, columns=meta["column_names"])
+df.to_csv(r'/work/output-Benchmark-trainonly-v1/c4/forestdiffusion/forest-c4-20260510_202550/forest-c4-2557-20260510_202553.csv', index=False)
+print("saved", len(df))

syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/_fd_meta_host.json

@@ -0,0 +1 @@
+{"column_names": ["bkblk", "bknwy", "bkon8", "bkona", "bkspr", "bkxbq", "bkxcr", "bkxwp", "blxwp", "bxqsq", "cntxt", "dsopp", "dwipd", "hdchk", "katri", "mulch", "qxmsq", "r2ar8", "reskd", "reskr", "rimmx", "rkxwp", "rxmsq", "simpl", "skach", "skewr", "skrxp", "spcop", "stlmt", "thrsk", "wkcti", "wkna8", "wknck", "wkovl", "wkpos", "wtoeg", "class"], "cat_indexes": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]}

syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/_fd_train.py

@@ -0,0 +1,36 @@
+
+import os, shutil, json
+with open('/tmp/pgrep', 'w') as _f:
+    _f.write("#!/usr/bin/env python3\n")
+    _f.write("import subprocess, sys\n")
+    _f.write("ppid = sys.argv[-1]\n")
+    _f.write("out = subprocess.check_output(['ps', '-o', 'pid=', '--ppid', str(ppid)], text=True)\n")
+    _f.write("print(out, end='')\n")
+os.chmod('/tmp/pgrep', 0o755)
+os.environ['PATH'] = '/tmp:' + os.environ.get('PATH', '')
+shutil.copy(r'/work/output-Benchmark-trainonly-v1/c4/forestdiffusion/forest-c4-20260510_202550/_fd_X_host.npy', '/tmp/fd_X.npy')
+with open(r'/work/output-Benchmark-trainonly-v1/c4/forestdiffusion/forest-c4-20260510_202550/_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=2 "
+    f"n_estimators=1 duplicate_K=1 n_jobs=1 "
+    f"max_depth=2 xgb_verbosity=0 xgb_nthread=1",
+    flush=True,
+)
+m = ForestDiffusionModel(
+    X, n_t=2, n_estimators=1, duplicate_K=1, n_jobs=1,
+    model="xgboost", max_depth=2, tree_method="hist", cat_indexes=cat_indexes,
+    verbosity=0, nthread=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/c4/forestdiffusion/forest-c4-20260510_202550/forestdiffusion_model.joblib')

syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/forestdiffusion_model.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c1956ffbe457d9170fca21d0ac6d0c334d8ec50cd4468a782af57005182a3dc5
+size 383730

syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/gen_20260510_202553.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c586288ecabefec7f61a7ad6dd2c3b20ad547d5393d21cb9dd2d746e915f136f
+size 1383

syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c4",
+  "model": "forestdiffusion",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c4/c4-train.csv",
+      "exists": true,
+      "size": 199562,
+      "sha256": "d2fc1109f821f6d30a9a47b68564c66ffecf47fdb8f5991c431375cd4730dc1e"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c4/c4-val.csv",
+      "exists": true,
+      "size": 25086,
+      "sha256": "63a14ee4484943b24ae1afb7f6227606b93362ab0438c2de944d98a3ed046314"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c4/c4-test.csv",
+      "exists": true,
+      "size": 25167,
+      "sha256": "1a53620457339e504389c8f98fcd80f18c2759349bea4d6c4e27c961b9ddf3c5"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c4/c4-dataset_profile.json",
+      "exists": true,
+      "size": 11652,
+      "sha256": "4de70afb0b43c5b764ab2836a9130d4794ddca17d563e7eb01b906eda5d1b1cb"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c4/c4-dataset_contract_v1.json",
+      "exists": true,
+      "size": 15478,
+      "sha256": "3624cb48e8525efa2ca7b43cdc6abbe819ee307ec20fbd166ad929da1ff4d7f9"
+    }
+  }
+}

syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/models_fd/model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c1956ffbe457d9170fca21d0ac6d0c334d8ec50cd4468a782af57005182a3dc5
+size 383730

syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/public_gate/normalized_schema_snapshot.json

@@ -0,0 +1,674 @@
+{
+  "dataset_id": "c4",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
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+      "name": "bkblk",
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syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/public_gate/public_gate_report.json

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+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c4/c4-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c4/c4-test.csv"
+  }
+}

syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/public_gate/staged_input_manifest.json

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syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/run_config.json

@@ -0,0 +1,47 @@
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+    "FORESTDIFFUSION_XGB_VERBOSITY": "0"
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+}

syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/runtime_result.json

@@ -0,0 +1,24 @@
+{
+  "dataset_id": "c4",
+  "model": "forestdiffusion",
+  "run_id": "forest-c4-20260510_202550",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "success",
+  "generate_status": "fail",
+  "reason_code": "adapter_runtime_error",
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+  "artifacts": {},
+  "timings": {
+    "train": {
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+      "ended_at": "2026-05-10T20:25:53",
+      "duration_sec": 2.189
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+    "generate": {
+      "started_at": "2026-05-10T20:25:53",
+      "ended_at": "2026-05-10T20:25:55",
+      "duration_sec": 1.967
+    }
+  }
+}

syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/staged/forestdiffusion/adapter_report.json

@@ -0,0 +1,7 @@
+{
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+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
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+}

syntheticFail/c4/forestdiffusion/forest-c4-20260510_202550/staged/forestdiffusion/adapter_transforms_applied.json

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