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Add standalone_multireflection_bcdi_adam_twodisloc_sandbox/run_code

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  1. standalone_multireflection_bcdi_adam_twodisloc_sandbox/run_code/data_gen_log.txt +348 -0
  2. standalone_multireflection_bcdi_adam_twodisloc_sandbox/run_code/final_test_report.json +7 -0
  3. standalone_multireflection_bcdi_adam_twodisloc_sandbox/run_code/meta_data.json +832 -0
  4. standalone_multireflection_bcdi_adam_twodisloc_sandbox/run_code/std_data/data_TV3D.pkl +3 -0
  5. standalone_multireflection_bcdi_adam_twodisloc_sandbox/run_code/std_data/data_TilePlot.pkl +3 -0
  6. standalone_multireflection_bcdi_adam_twodisloc_sandbox/run_code/std_data/data_fft1d.pkl +3 -0
  7. standalone_multireflection_bcdi_adam_twodisloc_sandbox/run_code/std_data/data_getBufferSize.pkl +3 -0
  8. standalone_multireflection_bcdi_adam_twodisloc_sandbox/run_code/std_data/data_ifft1d.pkl +3 -0
  9. standalone_multireflection_bcdi_adam_twodisloc_sandbox/run_code/verification_utils.py +74 -0
standalone_multireflection_bcdi_adam_twodisloc_sandbox/run_code/data_gen_log.txt ADDED
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+ [I 260313 05:34:10 gen_std_data:664] Loading grain data into solver.
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+ [I 260313 05:34:10 gen_std_data:666] Printing data tree...
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+ global
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+ global/mask
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+ global/ux
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+ global/uy
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+ global/uz
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+ scans
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+ scans/dataset_10
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+ scans/dataset_10/intensity
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+ scans/dataset_10/object
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+ scans/dataset_10/signal
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+ scans/dataset_10/signal/photon_max_10000.0
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+ scans/dataset_10/signal/photon_max_100000.0
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+ scans/dataset_10/signal/photon_max_1000000.0
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+ scans/dataset_10/wave
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+ scans/dataset_15
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+ scans/dataset_15/intensity
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+ scans/dataset_15/object
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+ scans/dataset_15/signal
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+ scans/dataset_15/signal/photon_max_10000.0
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+ scans/dataset_15/signal/photon_max_100000.0
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+ scans/dataset_15/signal/photon_max_1000000.0
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+ scans/dataset_15/wave
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+ scans/dataset_18
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+ scans/dataset_18/intensity
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+ scans/dataset_18/object
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+ scans/dataset_18/signal
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+ scans/dataset_18/signal/photon_max_10000.0
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+ scans/dataset_18/signal/photon_max_100000.0
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+ scans/dataset_18/signal/photon_max_1000000.0
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+ scans/dataset_18/wave
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+ scans/dataset_2
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+ scans/dataset_8
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+ scans/dataset_8/object
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+ scans/dataset_8/signal
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+ scans/dataset_8/signal/photon_max_10000.0
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+ scans/dataset_8/signal/photon_max_100000.0
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+ scans/dataset_8/signal/photon_max_1000000.0
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+ scans/dataset_8/wave
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+ [Metadata] Recorded schema for: getBufferSize
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+ [Metadata] Recorded schema for: fft1d
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+ [Metadata] Recorded schema for: ifft1d
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+ [I 260313 05:34:13 gen_std_data:669] Created solver.
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+ [I 260313 05:34:13 gen_std_data:670] Successful scans: [ 8 10 15 18]
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+ [I 260313 05:34:13 gen_std_data:671] Global parameters:
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+ [I 260313 05:34:13 gen_std_data:673] Rcryst: [[-0.75666183 -0.4623536 -0.46226834]
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+ [I 260313 05:34:13 gen_std_data:673] lam: 1.3785e-11
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+ [I 260313 05:34:13 gen_std_data:673] lattice_parms: [ 4.078 4.078 4.078 90. 90. 90. ]
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+ [I 260313 05:34:13 gen_std_data:673] pix: 5.5e-05
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+ [I 260313 05:34:13 gen_std_data:673] step_cubic: 12.279155187423308
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+ [I 260313 05:34:13 gen_std_data:674] Running optimizer...
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+ gen_std_data.py:43: MatplotlibDeprecationWarning:
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+ The update_dict attribute was deprecated in Matplotlib 3.3 and will be removed two minor releases later.
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+ attr = getattr(obj, m)
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+ [Metadata] Recorded schema for: TilePlot
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+ 0 dataset_8
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+ 1 dataset_10
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+ 2 dataset_15
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+ 3 dataset_18
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+ [I 260313 05:36:18 gen_std_data:734] Reconstruction complete. Results saved to /fs-computility-new/UPDZ02_sunhe/shared/QA_yixuan/standalone_multireflection_bcdi_adam_twodisloc_sandbox/./reconstructions/Results_twodisloc.h5
standalone_multireflection_bcdi_adam_twodisloc_sandbox/run_code/final_test_report.json ADDED
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+ {
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+ "getBufferSize": "PASS",
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+ "fft1d": "PASS",
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+ "ifft1d": "PASS",
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+ "TV3D": "PASS",
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+ "TilePlot": "PASS"
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+ }
standalone_multireflection_bcdi_adam_twodisloc_sandbox/run_code/meta_data.json ADDED
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+ {
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1
+ # verification_utils.py
2
+ import sys
3
+ import numpy as np
4
+
5
+ def recursive_check(expected, actual, rtol=1e-3, atol=1e-5, path="output"):
6
+ """
7
+ Recursively compares two objects (handling numpy, torch, dicts, lists, primitives).
8
+ Returns: (bool, str) -> (passed, error_message)
9
+ """
10
+ # 0. Pre-processing: Handle Torch Tensors (convert to numpy)
11
+ # We check sys.modules to avoid hard dependency on torch if not installed
12
+ if "torch" in sys.modules:
13
+ import torch
14
+ if isinstance(actual, torch.Tensor):
15
+ actual = actual.detach().cpu().numpy()
16
+ if isinstance(expected, torch.Tensor):
17
+ expected = expected.detach().cpu().numpy()
18
+
19
+ # 1. Type Mismatch Check
20
+ # Allow loose matching between tuple and list, otherwise strict
21
+ if isinstance(expected, (list, tuple)) and isinstance(actual, (list, tuple)):
22
+ pass # Treat tuple and list as compatible sequences
23
+ elif type(expected) != type(actual):
24
+ # Special case: Scalar numpy array vs Python scalar
25
+ if np.isscalar(expected) and isinstance(actual, np.ndarray) and actual.ndim == 0:
26
+ actual = actual.item()
27
+ elif np.isscalar(actual) and isinstance(expected, np.ndarray) and expected.ndim == 0:
28
+ expected = expected.item()
29
+ else:
30
+ return False, f"Type mismatch at {path}: expected {type(expected)}, got {type(actual)}"
31
+
32
+ # 2. Numpy Arrays
33
+ if isinstance(expected, np.ndarray):
34
+ if expected.shape != actual.shape:
35
+ return False, f"Shape mismatch at {path}: expected {expected.shape}, got {actual.shape}"
36
+
37
+ # Check for numeric types to use allclose
38
+ if np.issubdtype(expected.dtype, np.number):
39
+ if not np.allclose(expected, actual, rtol=rtol, atol=atol, equal_nan=True):
40
+ diff = np.abs(expected - actual)
41
+ max_diff = np.max(diff) if diff.size > 0 else 0
42
+ return False, f"Value mismatch at {path}: max difference {max_diff} > tol"
43
+ else:
44
+ # String or Object arrays
45
+ if not np.array_equal(expected, actual):
46
+ return False, f"Non-numeric array mismatch at {path}"
47
+ return True, ""
48
+
49
+ # 3. Dictionaries
50
+ if isinstance(expected, dict):
51
+ if set(expected.keys()) != set(actual.keys()):
52
+ return False, f"Key mismatch at {path}: expected {list(expected.keys())}, got {list(actual.keys())}"
53
+ for k in expected:
54
+ res, msg = recursive_check(expected[k], actual[k], rtol, atol, path=f"{path}['{k}']")
55
+ if not res: return False, msg
56
+ return True, ""
57
+
58
+ # 4. Lists / Tuples
59
+ if isinstance(expected, (list, tuple)):
60
+ if len(expected) != len(actual):
61
+ return False, f"Length mismatch at {path}: expected {len(expected)}, got {len(actual)}"
62
+ for i, (e, a) in enumerate(zip(expected, actual)):
63
+ res, msg = recursive_check(e, a, rtol, atol, path=f"{path}[{i}]")
64
+ if not res: return False, msg
65
+ return True, ""
66
+
67
+ # 5. Basic Types (float, int, str, bool, None)
68
+ if isinstance(expected, float):
69
+ if not np.isclose(expected, actual, rtol=rtol, atol=atol):
70
+ return False, f"Float mismatch at {path}: expected {expected}, got {actual}"
71
+ elif expected != actual:
72
+ return False, f"Value mismatch at {path}: expected {expected}, got {actual}"
73
+
74
+ return True, ""