Add DENIM Boundary Suite v1 (500 trajectories)
Browse filesAdd the 500-trajectory DENIM capability-boundary extension, frozen splits, quality report, metrics, comparison figure, generators, tests, checksums, and the unified 2,660-trajectory data usage map.
- DENIM_BOUNDARY_SHA256SUMS +13 -0
- README.md +34 -1
- artifacts/t2_denim_boundary_v1/QUALITY_REPORT.md +42 -0
- artifacts/t2_denim_boundary_v1/boundary_model_comparison.png +3 -0
- artifacts/t2_denim_boundary_v1/model_metrics.json +1461 -0
- data/t2_denim_boundary_v1/README.md +41 -0
- data/t2_denim_boundary_v1/cohort.h5 +3 -0
- data/t2_denim_boundary_v1/index.csv +501 -0
- data/t2_denim_boundary_v1/index.jsonl +0 -0
- data/t2_denim_boundary_v1/manifest.json +67 -0
- docs/T2_ALL_DATA_STAGE_SUMMARY.md +57 -0
- src/generate_t2_denim_boundary_v1.py +385 -0
- src/train_t2_denim_boundary_v1.py +305 -0
- tests/test_t2_denim_boundary_v1.py +48 -0
DENIM_BOUNDARY_SHA256SUMS
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+
ca13d56bb9b08b130ad0f2f97f34ae4d09abcedf84529abc8b21512f7b68acf6 README.md
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+
e231abe1c932df40b947641d35e4f1c7f389d128445d0cb63b027a584212b657 artifacts/t2_denim_boundary_v1/QUALITY_REPORT.md
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+
5ab9696e18caa74cb55e508345099ea0425511a0a8ab4a66be49bdf7cffce2de artifacts/t2_denim_boundary_v1/boundary_model_comparison.png
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4653a7ecbf4901f146c495a757b6d703441797ed5f52ae8fdab9963641bfd130 artifacts/t2_denim_boundary_v1/model_metrics.json
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be8b8382bde808aaa9f05eeda52985087734064e5c4664b92ba9587cda9e612c data/t2_denim_boundary_v1/README.md
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558f76e0043f612ef3ab99bf5598e466bbb5694b524a1b0974fb6a839f3e5774 data/t2_denim_boundary_v1/cohort.h5
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71999d5978ad2b968f00f17e4515ed86f3e956503e6e192c30c9c69a52cc5b60 data/t2_denim_boundary_v1/index.csv
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6a8cb55d5aadfbf022869c6af60119c583a9e48b932af3768ecbcc5599f4efac data/t2_denim_boundary_v1/index.jsonl
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6b2c6fca9bbfe1734e01acf94b15e3e5a4952804d0171e2d349634422c36f2ae data/t2_denim_boundary_v1/manifest.json
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+
8bb5703d537cb04831028805b4182bc81ba4e92602578ea9c08f75500a39f494 docs/T2_ALL_DATA_STAGE_SUMMARY.md
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23dcb106455a6d73e2e5715b35701c63372627a3b9f797eddd9690357d65a165 src/generate_t2_denim_boundary_v1.py
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ef7925f79cd994e671c460545b3dd74de4a92bf47318f99f3b932f172b633e41 src/train_t2_denim_boundary_v1.py
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cd6f7c80a7816842ca3a632ac3d52335effe09c1b529d261159b3c16bf911e6b tests/test_t2_denim_boundary_v1.py
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README.md
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An open, reproducible research dataset for path-dependent material modeling,
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neural constitutive surrogates and finite-element deployment tests. The
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repository
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## Releases
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- **T2 DENIM closure v1:** 128 multiaxial trajectories from a deliberately
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richer three-memory, tabulated-hardening reference material. The published
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two-memory DENIM model must learn the missing internal-variable closure.
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Start with `DENIM_START_HERE.md` for the incomplete-physics study,
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`T2_V2_START_HERE.md` for the multiaxial benchmark, or `START_HERE.md` for the
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The standalone weights and model card are published at
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[HaomingLuo/AgentFEM-DENIM](https://huggingface.co/HaomingLuo/AgentFEM-DENIM).
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## Multiaxial v2 at a glance
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- eight path families, including non-proportional, rotating and random
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An open, reproducible research dataset for path-dependent material modeling,
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neural constitutive surrogates and finite-element deployment tests. The
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repository contains four related, explicitly separated research protocols.
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## Releases
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- **T2 DENIM closure v1:** 128 multiaxial trajectories from a deliberately
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richer three-memory, tabulated-hardening reference material. The published
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two-memory DENIM model must learn the missing internal-variable closure.
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- **T2 DENIM boundary v1:** 500 additional trajectories for training-density,
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path, amplitude, long-history and integration-resolution boundaries.
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The repository therefore contains **2,660 complete trajectories**. Releases
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are used as a staged evidence chain; they are not presented as 2,660
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exchangeable samples from one training distribution.
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Start with `DENIM_START_HERE.md` for the incomplete-physics study,
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`T2_V2_START_HERE.md` for the multiaxial benchmark, or `START_HERE.md` for the
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The standalone weights and model card are published at
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[HaomingLuo/AgentFEM-DENIM](https://huggingface.co/HaomingLuo/AgentFEM-DENIM).
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## DENIM capability-boundary extension
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The 500-trajectory extension contains 250 training, 50 validation, 80 held-out
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path, 60 amplitude-extrapolation, 40 long-history and 20 matched-resolution
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histories. No failed case was silently removed.
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| Test | Incomplete J2 | GRU | Frozen DENIM | Expanded DENIM |
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|---|---:|---:|---:|---:|
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| Published held-out paths | 59.541 | 98.260 | 1.136 | **0.714** |
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| New path OOD | 58.177 | 96.959 | 1.163 | **0.743** |
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| Amplitude OOD | 69.315 | 95.896 | 3.091 | **2.294** |
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| Long-history stress test | 54.394 | 90.757 | 11.261 | **10.906** |
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Values are stress RMSE in MPa. The long-history result is reported as a
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current capability boundary, not hidden by the stronger ordinary path results.
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Expanded-DENIM RMSE on matched 61/121/481/961-state histories was
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0.673/0.722/0.761/0.767 MPa.
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- Viewer-friendly index: `data/t2_denim_boundary_v1/index.csv`
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- Lossless trajectories: `data/t2_denim_boundary_v1/cohort.h5`
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- Data card: `data/t2_denim_boundary_v1/README.md`
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- Quality report: `artifacts/t2_denim_boundary_v1/QUALITY_REPORT.md`
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- Full metrics: `artifacts/t2_denim_boundary_v1/model_metrics.json`
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- All-data usage: `docs/T2_ALL_DATA_STAGE_SUMMARY.md`
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## Multiaxial v2 at a glance
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- eight path families, including non-proportional, rotating and random
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artifacts/t2_denim_boundary_v1/QUALITY_REPORT.md
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# T2 DENIM Boundary Suite v1 — Quality Report
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## Result
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All **500** requested trajectories were generated successfully with AgentFEM
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commit `01ae283b957c1670db22c5261bb36a69cfb89956`. No failed or non-finite
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trajectory was removed.
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| Check | Result |
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|---|---:|
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| Unique complete trajectories | 500 |
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| Non-finite failures | 0 |
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| Maximum yield-surface relative residual | 4.5902e-11 |
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| Maximum plastic-strain trace | 2.0654e-17 |
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| Minimum PEEQ increment | 0 |
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| HDF5 size | 39,607,551 bytes |
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| HDF5 SHA-256 | `558f76e0043f612ef3ab99bf5598e466bbb5694b524a1b0974fb6a839f3e5774` |
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Ten targeted data and constitutive tests passed. The 20 resolution samples
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form five matched loading histories evaluated at 61, 121, 481 and 961 states.
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## Model-facing result
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The expanded DENIM was fitted using 330 training trajectories and selected on
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66 validation trajectories from the published and new cohorts. The frozen
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published checkpoint was retained as an untouched comparison.
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| Test | Incomplete J2 | GRU | Frozen DENIM | Expanded DENIM |
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|---|---:|---:|---:|---:|
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| Published held-out paths | 59.541 | 98.260 | 1.136 | **0.714** |
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| New path OOD | 58.177 | 96.959 | 1.163 | **0.743** |
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| Amplitude OOD | 69.315 | 95.896 | 3.091 | **2.294** |
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| Long-history stress test | 54.394 | 90.757 | 11.261 | **10.906** |
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Values are stress RMSE in MPa. The long-history result is the clearest current
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boundary: the expanded model remains much better than the baselines but loses
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the sub-MPa accuracy observed for ordinary path OOD.
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Across matched 61/121/481/961-state histories, expanded-DENIM RMSE was
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0.673/0.722/0.761/0.767 MPa. Its maximum yield residual was 224 Pa, PEEQ was
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nondecreasing, maximum plastic-strain trace was 1.04e-8 in float32 rollout, and
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the maximum relative discrete-energy balance residual was 3.78e-7.
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artifacts/t2_denim_boundary_v1/boundary_model_comparison.png
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Git LFS Details
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artifacts/t2_denim_boundary_v1/model_metrics.json
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| 1461 |
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|
data/t2_denim_boundary_v1/README.md
ADDED
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|
| 1 |
+
# T2 DENIM Boundary Suite v1
|
| 2 |
+
|
| 3 |
+
This release adds **500 complete material-point trajectories** to the published
|
| 4 |
+
DENIM incomplete-physics study. It keeps the same hidden three-memory,
|
| 5 |
+
tabulated-hardening reference material and tests whether the learned two-memory
|
| 6 |
+
closure remains useful outside its original sampling density.
|
| 7 |
+
|
| 8 |
+
## Accounting
|
| 9 |
+
|
| 10 |
+
| Role | Trajectories |
|
| 11 |
+
|---|---:|
|
| 12 |
+
| Core training extension | 250 |
|
| 13 |
+
| Rotating-path validation | 50 |
|
| 14 |
+
| Held-out path OOD | 80 |
|
| 15 |
+
| Low/high amplitude OOD | 60 |
|
| 16 |
+
| Long-history stress test | 40 |
|
| 17 |
+
| Matched integration resolutions | 20 |
|
| 18 |
+
| **Total** | **500** |
|
| 19 |
+
|
| 20 |
+
One sample is one complete trajectory. Time states are not counted as
|
| 21 |
+
independent samples. Most histories contain 241 states; the 20 matched
|
| 22 |
+
resolution histories contain 61, 121, 481 or 961 states.
|
| 23 |
+
|
| 24 |
+
## Files
|
| 25 |
+
|
| 26 |
+
- `cohort.h5`: lossless arrays and per-trajectory metadata;
|
| 27 |
+
- `index.jsonl`: lightweight searchable trajectory index;
|
| 28 |
+
- `index.csv`: Hugging Face Viewer-friendly index;
|
| 29 |
+
- `manifest.json`: frozen accounting, quality summary, AgentFEM commit and hash.
|
| 30 |
+
|
| 31 |
+
Each HDF5 group contains strain, stress, plastic strain, PEEQ, plastic
|
| 32 |
+
increment, two-channel closure memories, three-channel reference memories,
|
| 33 |
+
isotropic radius and path coordinates. SI units and tensor-shear Voigt order
|
| 34 |
+
`xx, yy, zz, xy, yz, xz` are used.
|
| 35 |
+
|
| 36 |
+
## Scope
|
| 37 |
+
|
| 38 |
+
The data are synthetic, small-strain material-point histories for one fixed
|
| 39 |
+
reference material. They test path, amplitude, history-length and numerical
|
| 40 |
+
resolution boundaries. They are not experimental calibration, fatigue-life
|
| 41 |
+
data, finite-strain plasticity or proof of cross-material transfer.
|
data/t2_denim_boundary_v1/cohort.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:558f76e0043f612ef3ab99bf5598e466bbb5694b524a1b0974fb6a839f3e5774
|
| 3 |
+
size 39607551
|
data/t2_denim_boundary_v1/index.csv
ADDED
|
@@ -0,0 +1,501 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
| 1 |
+
all_finite,boundary_axis,case_id,cycle_count,maximum_absolute_stress_pa,maximum_equivalent_strain,maximum_peeq,maximum_plastic_strain_trace,maximum_yield_surface_relative_residual,minimum_peeq_increment,path_family,points,sample_id,split
|
| 2 |
+
True,core_extension,denim-boundary-00000,1,418962727.22886187,0.010538280450404986,0.04188409454528328,0.0,1.4419640813555036e-11,0.0,proportional_axial_cycle,241,00000,train
|
| 3 |
+
True,core_extension,denim-boundary-00001,1,311256216.0642214,0.005649644439256354,0.016708649455952195,0.0,1.2965500354766845e-11,0.0,proportional_axial_cycle,241,00001,train
|
| 4 |
+
True,core_extension,denim-boundary-00002,1,360831098.78363943,0.0075680299511306824,0.028105702184517377,0.0,1.369246414729527e-11,0.0,proportional_axial_cycle,241,00002,train
|
| 5 |
+
True,core_extension,denim-boundary-00003,1,291337743.88116896,0.004801653375669112,0.013080818041031166,0.0,1.2678546564919607e-11,0.0,proportional_axial_cycle,241,00003,train
|
| 6 |
+
True,core_extension,denim-boundary-00004,1,382456933.994998,0.008827557282518462,0.032787298062775645,0.0,1.4532676764896938e-11,0.0,proportional_axial_cycle,241,00004,train
|
| 7 |
+
True,core_extension,denim-boundary-00005,1,365152768.27484125,0.008640807979587689,0.028121239203032326,0.0,1.3985165527888707e-11,0.0,proportional_axial_cycle,241,00005,train
|
| 8 |
+
True,core_extension,denim-boundary-00006,1,344167563.4395042,0.007631383809559333,0.023095311783680218,0.0,1.3819549764905656e-11,0.0,proportional_axial_cycle,241,00006,train
|
| 9 |
+
True,core_extension,denim-boundary-00007,1,379075905.5518703,0.008525311002097923,0.032105916273517957,0.0,1.4385581016540528e-11,0.0,proportional_axial_cycle,241,00007,train
|
| 10 |
+
True,core_extension,denim-boundary-00008,1,441813366.24092287,0.011613317852196577,0.04794879218766145,0.0,1.523005110876901e-11,0.0,proportional_axial_cycle,241,00008,train
|
| 11 |
+
True,core_extension,denim-boundary-00009,1,282890024.5927234,0.004641594983701404,0.010758584989072712,0.0,1.2273447854178293e-11,0.0,proportional_axial_cycle,241,00009,train
|
| 12 |
+
True,core_extension,denim-boundary-00010,1,307687250.0115591,0.005392878867561729,0.01627623044194776,0.0,1.298295600073678e-11,0.0,proportional_axial_cycle,241,00010,train
|
| 13 |
+
True,core_extension,denim-boundary-00011,1,337118163.07336956,0.007097176173424638,0.02186784471432206,0.0,1.371077128819057e-11,0.0,proportional_axial_cycle,241,00011,train
|
| 14 |
+
True,core_extension,denim-boundary-00012,1,300281884.6460189,0.004990128485928589,0.015140338018893163,0.0,1.2626818248203822e-11,0.0,proportional_axial_cycle,241,00012,train
|
| 15 |
+
True,core_extension,denim-boundary-00013,1,405412055.5917253,0.010345781034923729,0.03815373380762529,0.0,1.5044212341308594e-11,0.0,proportional_axial_cycle,241,00013,train
|
| 16 |
+
True,core_extension,denim-boundary-00014,1,334173837.7288613,0.006928974904706544,0.0212487017144867,0.0,1.3377411024911063e-11,0.0,proportional_axial_cycle,241,00014,train
|
| 17 |
+
True,core_extension,denim-boundary-00015,1,301470769.85216415,0.0051444775523987706,0.015122397040115162,0.0,1.3279276234763009e-11,0.0,proportional_axial_cycle,241,00015,train
|
| 18 |
+
True,core_extension,denim-boundary-00016,1,415586774.09060454,0.011828900851612078,0.04021049795613477,0.0,1.4962468828473773e-11,0.0,proportional_axial_cycle,241,00016,train
|
| 19 |
+
True,core_extension,denim-boundary-00017,1,430998101.8840941,0.01091024656018869,0.04499724094310635,0.0,1.55272228377206e-11,0.0,proportional_axial_cycle,241,00017,train
|
| 20 |
+
True,core_extension,denim-boundary-00018,1,424066645.4595458,0.011334350985985148,0.04300615117609011,0.0,1.4556092875344414e-11,0.0,proportional_axial_cycle,241,00018,train
|
| 21 |
+
True,core_extension,denim-boundary-00019,1,282499265.62028027,0.0044275213225601065,0.01150507137353128,0.0,1.2723888669695173e-11,0.0,proportional_axial_cycle,241,00019,train
|
| 22 |
+
True,core_extension,denim-boundary-00020,1,267511916.15381917,0.003942753883348752,0.008106167881729602,0.0,1.2145510741642543e-11,0.0,proportional_axial_cycle,241,00020,train
|
| 23 |
+
True,core_extension,denim-boundary-00021,1,284165772.1802363,0.004432057448723415,0.01201399552625872,0.0,1.2549545083727156e-11,0.0,proportional_axial_cycle,241,00021,train
|
| 24 |
+
True,core_extension,denim-boundary-00022,1,325383258.5593822,0.006192281462100713,0.019987026589386406,0.0,1.3362722737448556e-11,0.0,proportional_axial_cycle,241,00022,train
|
| 25 |
+
True,core_extension,denim-boundary-00023,1,365074110.3479377,0.008288439471392966,0.02852998605920811,0.0,1.302978822163173e-11,0.0,proportional_axial_cycle,241,00023,train
|
| 26 |
+
True,core_extension,denim-boundary-00024,1,393044577.8846744,0.009259130269367479,0.035317225665216875,0.0,1.4788338116237095e-11,0.0,proportional_axial_cycle,241,00024,train
|
| 27 |
+
True,core_extension,denim-boundary-00025,1,307752066.8291166,0.005619891607292394,0.01577253422345355,0.0,1.2980188642229353e-11,0.0,proportional_axial_cycle,241,00025,train
|
| 28 |
+
True,core_extension,denim-boundary-00026,1,422206236.77476823,0.011336218968299184,0.04247151190871632,0.0,1.4832615852355957e-11,0.0,proportional_axial_cycle,241,00026,train
|
| 29 |
+
True,core_extension,denim-boundary-00027,1,338787116.76315844,0.006779244369556211,0.0229833836847108,0.0,1.3348885944911412e-11,0.0,proportional_axial_cycle,241,00027,train
|
| 30 |
+
True,core_extension,denim-boundary-00028,1,342927139.2121479,0.007284742359513473,0.0233855877039001,0.0,1.386744635445731e-11,0.0,proportional_axial_cycle,241,00028,train
|
| 31 |
+
True,core_extension,denim-boundary-00029,1,314434445.94905984,0.006008827805409394,0.016790972913992615,0.0,1.2925692967006138e-11,0.0,proportional_axial_cycle,241,00029,train
|
| 32 |
+
True,core_extension,denim-boundary-00030,1,369255226.06724215,0.008737432360918215,0.029224669756711587,0.0,1.3660533087594168e-11,0.0,proportional_axial_cycle,241,00030,train
|
| 33 |
+
True,core_extension,denim-boundary-00031,1,325203613.1345666,0.006392097734371412,0.019466987297875944,0.0,1.2972099440438406e-11,0.0,proportional_axial_cycle,241,00031,train
|
| 34 |
+
True,core_extension,denim-boundary-00032,1,419626273.45407903,0.011832485964405615,0.04144583172105171,0.0,1.4346625123705183e-11,0.0,proportional_axial_cycle,241,00032,train
|
| 35 |
+
True,core_extension,denim-boundary-00033,1,414262723.4952263,0.010260621855487395,0.0406917643314558,0.0,1.4670193195343016e-11,0.0,proportional_axial_cycle,241,00033,train
|
| 36 |
+
True,core_extension,denim-boundary-00034,1,270390593.8627542,0.003849469140983161,0.009665834867957152,0.0,1.24697174344744e-11,0.0,proportional_axial_cycle,241,00034,train
|
| 37 |
+
True,core_extension,denim-boundary-00035,1,366974656.3380758,0.008055625417909,0.029288453368572734,0.0,1.3969412871769497e-11,0.0,proportional_axial_cycle,241,00035,train
|
| 38 |
+
True,core_extension,denim-boundary-00036,1,399739666.47371775,0.010348670466435329,0.036487481066742676,0.0,1.4638900756835938e-11,0.0,proportional_axial_cycle,241,00036,train
|
| 39 |
+
True,core_extension,denim-boundary-00037,1,394817410.13585114,0.009241630598033332,0.03582106996872506,0.0,1.3594755104609899e-11,0.0,proportional_axial_cycle,241,00037,train
|
| 40 |
+
True,core_extension,denim-boundary-00038,1,271825511.1064429,0.0038636692873205165,0.01007326431013937,0.0,1.2637887682233538e-11,0.0,proportional_axial_cycle,241,00038,train
|
| 41 |
+
True,core_extension,denim-boundary-00039,1,371833023.56834245,0.008029069471377262,0.03058458121138563,0.0,1.3651805264609201e-11,0.0,proportional_axial_cycle,241,00039,train
|
| 42 |
+
True,core_extension,denim-boundary-00040,1,352417054.9164283,0.00815092041728671,0.024835687417504086,0.0,1.3750365802219935e-11,0.0,proportional_axial_cycle,241,00040,train
|
| 43 |
+
True,core_extension,denim-boundary-00041,1,358306411.8740751,0.0074893849422429885,0.027512796690708025,0.0,1.4207618577139719e-11,0.0,proportional_axial_cycle,241,00041,train
|
| 44 |
+
True,core_extension,denim-boundary-00042,1,342095341.4491441,0.00700143043057627,0.023607707346838848,0.0,1.3970051492963519e-11,0.0,proportional_axial_cycle,241,00042,train
|
| 45 |
+
True,core_extension,denim-boundary-00043,1,347985147.0312937,0.007120737544414324,0.02512214423371278,0.0,1.4118850231170654e-11,0.0,proportional_axial_cycle,241,00043,train
|
| 46 |
+
True,core_extension,denim-boundary-00044,1,415614665.56211066,0.01069928676728251,0.040878487879224025,0.0,1.479919467653547e-11,0.0,proportional_axial_cycle,241,00044,train
|
| 47 |
+
True,core_extension,denim-boundary-00045,1,356300939.21036446,0.00786761906152743,0.026524094734580145,0.0,1.377654927117484e-11,0.0,proportional_axial_cycle,241,00045,train
|
| 48 |
+
True,core_extension,denim-boundary-00046,1,417833547.2415944,0.010342062300640808,0.04164498703726802,0.0,1.503718750817435e-11,0.0,proportional_axial_cycle,241,00046,train
|
| 49 |
+
True,core_extension,denim-boundary-00047,1,388895780.5268665,0.009150852509956654,0.034270524065372655,0.0,1.4146949563707624e-11,0.0,proportional_axial_cycle,241,00047,train
|
| 50 |
+
True,core_extension,denim-boundary-00048,1,411252571.3257253,0.011530931607443685,0.03908484180324475,0.0,1.3882560389382498e-11,0.0,proportional_axial_cycle,241,00048,train
|
| 51 |
+
True,core_extension,denim-boundary-00049,1,250655418.31015188,0.003080322596179529,0.006191663150255197,0.0,1.2138698782239642e-11,0.0,proportional_axial_cycle,241,00049,train
|
| 52 |
+
True,core_extension,denim-boundary-00050,1,317048047.0352006,0.008268179992292513,0.02883956978945686,0.0,1.4062012944902693e-11,0.0,proportional_shear_cycle,241,00050,train
|
| 53 |
+
True,core_extension,denim-boundary-00051,1,369800664.0237521,0.011659295571521025,0.04371638333977004,0.0,1.4765773500714982e-11,0.0,proportional_shear_cycle,241,00051,train
|
| 54 |
+
True,core_extension,denim-boundary-00052,1,271264959.59225357,0.005752313427490447,0.017035238858307315,0.0,1.3309717178344727e-11,0.0,proportional_shear_cycle,241,00052,train
|
| 55 |
+
True,core_extension,denim-boundary-00053,1,272567815.02320653,0.005977640925824542,0.016957511273638353,0.0,1.2555931295667375e-11,0.0,proportional_shear_cycle,241,00053,train
|
| 56 |
+
True,core_extension,denim-boundary-00054,1,226263795.31531066,0.00356923027364958,0.0076648600741848405,0.0,1.2194045952388219e-11,0.0,proportional_shear_cycle,241,00054,train
|
| 57 |
+
True,core_extension,denim-boundary-00055,1,295338762.95852274,0.007505388733974259,0.022274923163028912,0.0,1.316687890461513e-11,0.0,proportional_shear_cycle,241,00055,train
|
| 58 |
+
True,core_extension,denim-boundary-00056,1,233035830.8036841,0.00399815626411605,0.008468165918575023,0.0,1.1817472321646555e-11,0.0,proportional_shear_cycle,241,00056,train
|
| 59 |
+
True,core_extension,denim-boundary-00057,1,257395590.8381893,0.005277331472378695,0.01342739679110253,0.0,1.2688977377755302e-11,0.0,proportional_shear_cycle,241,00057,train
|
| 60 |
+
True,core_extension,denim-boundary-00058,1,352720463.40800613,0.011115577433312962,0.03818134967476868,0.0,1.4560350349971226e-11,0.0,proportional_shear_cycle,241,00058,train
|
| 61 |
+
True,core_extension,denim-boundary-00059,1,341410338.10409296,0.009760996535282448,0.035311649218584554,0.0,1.4750233718327114e-11,0.0,proportional_shear_cycle,241,00059,train
|
| 62 |
+
True,core_extension,denim-boundary-00060,1,341182225.6205268,0.010330955955235635,0.03482577490864168,0.0,1.4017309461321149e-11,0.0,proportional_shear_cycle,241,00060,train
|
| 63 |
+
True,core_extension,denim-boundary-00061,1,352687158.3932973,0.011103914412216767,0.03817865248494481,0.0,1.4436032090868268e-11,0.0,proportional_shear_cycle,241,00061,train
|
| 64 |
+
True,core_extension,denim-boundary-00062,1,390143106.67319965,0.011848496265498904,0.049900654168114275,0.0,1.542759793145316e-11,0.0,proportional_shear_cycle,241,00062,train
|
| 65 |
+
True,core_extension,denim-boundary-00063,1,340722981.53077084,0.009775225701548436,0.03508830196894271,0.0,1.46340046610151e-11,0.0,proportional_shear_cycle,241,00063,train
|
| 66 |
+
True,core_extension,denim-boundary-00064,1,348014794.838436,0.01022263112710563,0.03720224260485609,0.0,1.4809838363102503e-11,0.0,proportional_shear_cycle,241,00064,train
|
| 67 |
+
True,core_extension,denim-boundary-00065,1,332433617.6374507,0.009653079554280377,0.03251355618367419,0.0,1.4394095965794155e-11,0.0,proportional_shear_cycle,241,00065,train
|
| 68 |
+
True,core_extension,denim-boundary-00066,1,354616188.9955462,0.011150904671751873,0.03882452497060353,0.0,1.4177816254752023e-11,0.0,proportional_shear_cycle,241,00066,train
|
| 69 |
+
True,core_extension,denim-boundary-00067,1,365863440.0513611,0.0105193278251825,0.04285892541386453,0.0,1.4122894832066128e-11,0.0,proportional_shear_cycle,241,00067,train
|
| 70 |
+
True,core_extension,denim-boundary-00068,1,293289998.8174938,0.007310347791173535,0.021905933252710598,0.0,1.3510031359536308e-11,0.0,proportional_shear_cycle,241,00068,train
|
| 71 |
+
True,core_extension,denim-boundary-00069,1,263958005.9572744,0.005322154072166408,0.01563849808447005,0.0,1.2867578438350133e-11,0.0,proportional_shear_cycle,241,00069,train
|
| 72 |
+
True,core_extension,denim-boundary-00070,1,280418242.30745953,0.00629138569668237,0.019238038536388342,0.0,1.3619022709982736e-11,0.0,proportional_shear_cycle,241,00070,train
|
| 73 |
+
True,core_extension,denim-boundary-00071,1,361598280.00498056,0.011251880407198182,0.04115719669793037,0.0,1.483751194817679e-11,0.0,proportional_shear_cycle,241,00071,train
|
| 74 |
+
True,core_extension,denim-boundary-00072,1,240558927.86449587,0.004185717191954856,0.010828994654197087,0.0,1.2386483805520194e-11,0.0,proportional_shear_cycle,241,00072,train
|
| 75 |
+
True,core_extension,denim-boundary-00073,1,287342045.1171843,0.00679575305249046,0.02074653339179885,0.0,1.3524932520730156e-11,0.0,proportional_shear_cycle,241,00073,train
|
| 76 |
+
True,core_extension,denim-boundary-00074,1,321998109.7474608,0.008540335904226919,0.030153233864963193,0.0,1.4244871480124338e-11,0.0,proportional_shear_cycle,241,00074,train
|
| 77 |
+
True,core_extension,denim-boundary-00075,1,304727240.66897935,0.00746006620756135,0.025781869711249364,0.0,1.3588156018938338e-11,0.0,proportional_shear_cycle,241,00075,train
|
| 78 |
+
True,core_extension,denim-boundary-00076,1,291835270.31692976,0.0070629571973046534,0.021897564157604354,0.0,1.3288429805210658e-11,0.0,proportional_shear_cycle,241,00076,train
|
| 79 |
+
True,core_extension,denim-boundary-00077,1,330088093.1741768,0.00923271828336687,0.03212564612602696,0.0,1.418931143624442e-11,0.0,proportional_shear_cycle,241,00077,train
|
| 80 |
+
True,core_extension,denim-boundary-00078,1,279495836.8947054,0.005913932610632934,0.019729521933993122,0.0,1.3321638107299805e-11,0.0,proportional_shear_cycle,241,00078,train
|
| 81 |
+
True,core_extension,denim-boundary-00079,1,245730225.50097567,0.004341664378659521,0.012156945567983283,0.0,1.1735515935080391e-11,0.0,proportional_shear_cycle,241,00079,train
|
| 82 |
+
True,core_extension,denim-boundary-00080,1,256174915.7145864,0.00525916075854648,0.012986417343217751,0.0,1.281968184879848e-11,0.0,proportional_shear_cycle,241,00080,train
|
| 83 |
+
True,core_extension,denim-boundary-00081,1,294897459.43328285,0.007444145112710761,0.022242518888822605,0.0,1.3639245714460101e-11,0.0,proportional_shear_cycle,241,00081,train
|
| 84 |
+
True,core_extension,denim-boundary-00082,1,376596653.11084783,0.011556539582824722,0.045997241261801214,0.0,1.5392260892050608e-11,0.0,proportional_shear_cycle,241,00082,train
|
| 85 |
+
True,core_extension,denim-boundary-00083,1,236148410.54873917,0.0038580078448510265,0.010354969489807884,0.0,1.2045034340449742e-11,0.0,proportional_shear_cycle,241,00083,train
|
| 86 |
+
True,core_extension,denim-boundary-00084,1,309308083.1958078,0.008258259944314155,0.026203830484189464,0.0,1.3890649591173445e-11,0.0,proportional_shear_cycle,241,00084,train
|
| 87 |
+
True,core_extension,denim-boundary-00085,1,300294471.79806226,0.006941534930427763,0.025001994344980814,0.0,1.3767821448189871e-11,0.0,proportional_shear_cycle,241,00085,train
|
| 88 |
+
True,core_extension,denim-boundary-00086,1,238130804.24956706,0.004123430223124737,0.010129149210373646,0.0,1.207249505179269e-11,0.0,proportional_shear_cycle,241,00086,train
|
| 89 |
+
True,core_extension,denim-boundary-00087,1,245162421.80777782,0.00426026095804812,0.01219471791407799,0.0,1.2134015560150147e-11,0.0,proportional_shear_cycle,241,00087,train
|
| 90 |
+
True,core_extension,denim-boundary-00088,1,276618395.1341259,0.005967589969955036,0.0185614274708002,0.0,1.3134947844914027e-11,0.0,proportional_shear_cycle,241,00088,train
|
| 91 |
+
True,core_extension,denim-boundary-00089,1,252127353.09884837,0.004587748298604319,0.013590046168419478,0.0,1.2720482689993722e-11,0.0,proportional_shear_cycle,241,00089,train
|
| 92 |
+
True,core_extension,denim-boundary-00090,1,331800415.9826725,0.009857676040411672,0.03208858705344212,0.0,1.4312139579227992e-11,0.0,proportional_shear_cycle,241,00090,train
|
| 93 |
+
True,core_extension,denim-boundary-00091,1,335838238.65471834,0.009141995824366629,0.033986651669324755,0.0,1.473022358758109e-11,0.0,proportional_shear_cycle,241,00091,train
|
| 94 |
+
True,core_extension,denim-boundary-00092,1,242591806.5538422,0.004368224044128418,0.010930449153070626,0.0,1.2285794530596051e-11,0.0,proportional_shear_cycle,241,00092,train
|
| 95 |
+
True,core_extension,denim-boundary-00093,1,247858274.0359866,0.004618447212857308,0.012047167071519586,0.0,1.2926970209394182e-11,0.0,proportional_shear_cycle,241,00093,train
|
| 96 |
+
True,core_extension,denim-boundary-00094,1,289269079.826939,0.006450131159560347,0.022116806656874727,0.0,1.3361871242523193e-11,0.0,proportional_shear_cycle,241,00094,train
|
| 97 |
+
True,core_extension,denim-boundary-00095,1,338303510.1114775,0.01006000230393352,0.034098941366416946,0.0,1.4523736068180629e-11,0.0,proportional_shear_cycle,241,00095,train
|
| 98 |
+
True,core_extension,denim-boundary-00096,1,332455250.52725554,0.009277864911494516,0.03284521475221903,0.0,1.4491592134748187e-11,0.0,proportional_shear_cycle,241,00096,train
|
| 99 |
+
True,core_extension,denim-boundary-00097,1,277246683.2050771,0.005968484815226956,0.01879919364155989,0.0,1.3403594493865967e-11,0.0,proportional_shear_cycle,241,00097,train
|
| 100 |
+
True,core_extension,denim-boundary-00098,1,241744341.1020432,0.004492323374104844,0.009978706957221584,0.0,1.1604811464037214e-11,0.0,proportional_shear_cycle,241,00098,train
|
| 101 |
+
True,core_extension,denim-boundary-00099,1,229658630.63673452,0.0036907183965645225,0.008540751906073177,0.0,1.2039499623434885e-11,0.0,proportional_shear_cycle,241,00099,train
|
| 102 |
+
True,core_extension,denim-boundary-00100,1,386710375.4562472,0.010194755642165012,0.041166096240834775,0.0,1.4873274735042026e-11,0.0,sequential_axial_shear,241,00100,train
|
| 103 |
+
True,core_extension,denim-boundary-00101,1,333467613.65980214,0.00737964819141741,0.03018576190713382,0.0,1.4322783265795026e-11,0.0,sequential_axial_shear,241,00101,train
|
| 104 |
+
True,core_extension,denim-boundary-00102,1,362830327.20764816,0.008852874151494172,0.03548185708921576,0.0,1.424849033355713e-11,0.0,sequential_axial_shear,241,00102,train
|
| 105 |
+
True,core_extension,denim-boundary-00103,1,403851581.6447896,0.011198382458323785,0.049100805845822805,0.0,1.469509942190988e-11,0.0,sequential_axial_shear,241,00103,train
|
| 106 |
+
True,core_extension,denim-boundary-00104,1,415680900.7165029,0.011912081738670926,0.046492127943189625,0.0,1.4676153659820556e-11,0.0,sequential_axial_shear,241,00104,train
|
| 107 |
+
True,core_extension,denim-boundary-00105,1,264962732.74640566,0.004269056988809676,0.014611999523110345,0.0,1.2580624648502896e-11,0.0,sequential_axial_shear,241,00105,train
|
| 108 |
+
True,core_extension,denim-boundary-00106,1,381261773.1558986,0.009882827884739442,0.040729306169536,0.0,1.4925641672951835e-11,0.0,sequential_axial_shear,241,00106,train
|
| 109 |
+
True,core_extension,denim-boundary-00107,1,261584209.97128826,0.004123742231989612,0.012123799792505593,0.0,1.2471633298056466e-11,0.0,sequential_axial_shear,241,00107,train
|
| 110 |
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True,core_extension,denim-boundary-00109,1,267905735.22968444,0.0043962614689724054,0.013736558954268766,0.0,1.2379246098654611e-11,0.0,sequential_axial_shear,241,00109,train
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True,core_extension,denim-boundary-00110,1,290241099.2150777,0.005379694913109184,0.018839835486190053,0.0,1.3153467859540667e-11,0.0,sequential_axial_shear,241,00110,train
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True,core_extension,denim-boundary-00111,1,367182434.9351314,0.009092627007381917,0.03877654728219073,0.0,1.502058335712978e-11,0.0,sequential_axial_shear,241,00111,train
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True,core_extension,denim-boundary-00112,1,344059173.7908972,0.00789030108731121,0.031892814959829485,0.0,1.3637542724609375e-11,0.0,sequential_axial_shear,241,00112,train
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True,core_extension,denim-boundary-00113,1,414947425.74916023,0.011867313844935338,0.05105546273508697,0.0,1.526858125414167e-11,0.0,sequential_axial_shear,241,00113,train
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True,core_extension,denim-boundary-00114,1,365958321.3575944,0.009024980057131156,0.034669543187707166,0.0,1.4169939926692418e-11,0.0,sequential_axial_shear,241,00114,train
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True,core_extension,denim-boundary-00115,1,352283070.6567237,0.008292625653930706,0.032858196501498564,0.0,1.4127790927886963e-11,0.0,sequential_axial_shear,241,00115,train
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True,core_extension,denim-boundary-00116,1,312509610.99588966,0.0063935171292579624,0.023170227215600272,0.0,1.3256711619240898e-11,0.0,sequential_axial_shear,241,00116,train
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True,core_extension,denim-boundary-00117,1,242711870.50368392,0.003358380861627815,0.010068800704133374,0.0,1.2152748448508126e-11,0.0,sequential_axial_shear,241,00117,train
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True,core_extension,denim-boundary-00118,1,394735905.43385524,0.010660252772661154,0.0418890222791492,0.0,1.4476265226091657e-11,0.0,sequential_axial_shear,241,00118,train
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True,core_extension,denim-boundary-00119,1,254937165.1712852,0.003839907626091981,0.01232541906094683,0.0,1.2774765491485595e-11,0.0,sequential_axial_shear,241,00119,train
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True,core_extension,denim-boundary-00120,1,393845565.1877757,0.010608233934070161,0.04029490812883266,0.0,1.4760025909968785e-11,0.0,sequential_axial_shear,241,00120,train
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True,core_extension,denim-boundary-00121,1,361499453.4018331,0.008779974424667835,0.03555618888448234,0.0,1.469297068459647e-11,0.0,sequential_axial_shear,241,00121,train
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True,core_extension,denim-boundary-00122,1,268903180.9424212,0.004439477687026234,0.01387742340881841,0.0,1.2652150222233363e-11,0.0,sequential_axial_shear,241,00122,train
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True,core_extension,denim-boundary-00123,1,272874678.52791166,0.0046122265025679175,0.0161378735139678,0.0,1.267577920641218e-11,0.0,sequential_axial_shear,241,00123,train
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True,core_extension,denim-boundary-00124,1,289556033.89413863,0.005349040275125098,0.01673899116500116,0.0,1.3089179992675781e-11,0.0,sequential_axial_shear,241,00124,train
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True,core_extension,denim-boundary-00125,1,394739519.87932545,0.010660464143969466,0.04621127823354872,0.0,1.5683046409061976e-11,0.0,sequential_axial_shear,241,00125,train
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True,core_extension,denim-boundary-00126,1,330776952.3476664,0.007251246322667545,0.02500726154013353,0.0,1.3763776847294399e-11,0.0,sequential_axial_shear,241,00126,train
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True,core_extension,denim-boundary-00127,1,315175612.71525127,0.006517205281209863,0.02403033588962271,0.0,1.3409554958343506e-11,0.0,sequential_axial_shear,241,00127,train
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True,core_extension,denim-boundary-00128,1,396333574.32160306,0.010753837402655623,0.04188443347772596,0.0,1.4597177505493163e-11,0.0,sequential_axial_shear,241,00128,train
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True,core_extension,denim-boundary-00129,1,306416327.67712337,0.006112753160058941,0.022239322305590007,0.0,1.370800392968314e-11,0.0,sequential_axial_shear,241,00129,train
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True,core_extension,denim-boundary-00130,1,309490623.6555993,0.006254079386393552,0.022383934675873147,0.0,1.3603057180132184e-11,0.0,sequential_axial_shear,241,00130,train
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True,core_extension,denim-boundary-00131,1,384696892.4635761,0.01007908025796092,0.04135722885432974,0.0,1.450181007385254e-11,0.0,sequential_axial_shear,241,00131,train
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True,core_extension,denim-boundary-00132,1,356275173.9985588,0.008495467583445031,0.034316289979920866,0.0,1.4820056302206857e-11,0.0,sequential_axial_shear,241,00132,train
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True,core_extension,denim-boundary-00133,1,405734670.5179302,0.011310820224354895,0.04341999606231955,0.0,1.4271480696541923e-11,0.0,sequential_axial_shear,241,00133,train
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True,core_extension,denim-boundary-00134,1,239064195.67431307,0.003218888962830418,0.008698172108761202,0.0,1.1996073382241386e-11,0.0,sequential_axial_shear,241,00134,train
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True,core_extension,denim-boundary-00135,1,283740505.43275213,0.005090123588182138,0.01582549189915098,0.0,1.2916113649095807e-11,0.0,sequential_axial_shear,241,00135,train
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True,core_extension,denim-boundary-00136,1,317877452.675435,0.0066430893963442565,0.02240336816177909,0.0,1.3547710009983607e-11,0.0,sequential_axial_shear,241,00136,train
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True,core_extension,denim-boundary-00137,1,411033923.4725927,0.011629610955442451,0.05142270733352019,0.0,1.5192372458321708e-11,0.0,sequential_axial_shear,241,00137,train
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True,core_extension,denim-boundary-00138,1,391810306.8668821,0.010489679630139116,0.042568190594213046,0.0,1.412055322102138e-11,0.0,sequential_axial_shear,241,00138,train
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True,core_extension,denim-boundary-00139,1,332728505.7122468,0.007344322232235885,0.02986608685954595,0.0,1.3993041855948312e-11,0.0,sequential_axial_shear,241,00139,train
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True,core_extension,denim-boundary-00140,1,360465466.5787585,0.008723442796284103,0.03585518840221105,0.0,1.3311845915658133e-11,0.0,sequential_axial_shear,241,00140,train
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True,core_extension,denim-boundary-00141,1,395427050.8288887,0.010700699292754693,0.042862570252996196,0.0,1.4851135866982597e-11,0.0,sequential_axial_shear,241,00141,train
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True,core_extension,denim-boundary-00142,1,356405040.2227781,0.008502504387206867,0.030825530685359256,0.0,1.4103523322514126e-11,0.0,sequential_axial_shear,241,00142,train
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True,core_extension,denim-boundary-00143,1,254027855.8912872,0.003801283335763974,0.009654737499316446,0.0,1.2340077332087926e-11,0.0,sequential_axial_shear,241,00143,train
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True,core_extension,denim-boundary-00144,1,336933772.002058,0.007545870448771618,0.029719677316254696,0.0,1.3775059155055454e-11,0.0,sequential_axial_shear,241,00144,train
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True,core_extension,denim-boundary-00145,1,375636704.8469318,0.00956441412689021,0.036221273349408875,0.0,1.4588236808776856e-11,0.0,sequential_axial_shear,241,00145,train
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True,core_extension,denim-boundary-00146,1,313317803.6131284,0.006430957901405926,0.021022498202898126,0.0,1.3425733361925398e-11,0.0,sequential_axial_shear,241,00146,train
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True,core_extension,denim-boundary-00147,1,294079142.2775714,0.005552049515133129,0.01710875028154966,0.0,1.2836711747305733e-11,0.0,sequential_axial_shear,241,00147,train
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True,core_extension,denim-boundary-00148,1,406059969.67536646,0.011330288215765993,0.049563898515234926,0.0,1.544335058757237e-11,0.0,sequential_axial_shear,241,00148,train
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True,core_extension,denim-boundary-00149,1,350883346.3038637,0.008223774976464747,0.029290474003302303,0.0,1.3902570520128522e-11,0.0,sequential_axial_shear,241,00149,train
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True,core_extension,denim-boundary-00150,1,282488501.30194217,0.0050408289345603655,0.024646656204190896,4.336808689942018e-19,1.3751217297145299e-11,0.0,orthogonal_cross,241,00150,train
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True,core_extension,denim-boundary-00151,1,373946383.09400314,0.00949532833707725,0.061555465100393225,1.734723475976807e-18,1.5785651547568186e-11,0.0,orthogonal_cross,241,00151,train
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True,core_extension,denim-boundary-00153,1,291905593.31183416,0.005461594416536442,0.028046720752276325,6.098637220230962e-19,1.3436589922223773e-11,0.0,orthogonal_cross,241,00153,train
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True,core_extension,denim-boundary-00155,1,364456294.72922033,0.008965047036458678,0.057084963198149145,8.673617379884035e-19,1.5854409762791224e-11,0.0,orthogonal_cross,241,00155,train
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True,core_extension,denim-boundary-00156,1,233745432.73642945,0.0030180750372340733,0.009002447686326217,4.336808689942018e-19,1.2301547186715261e-11,0.0,orthogonal_cross,241,00156,train
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True,core_extension,denim-boundary-00157,1,323902729.24483263,0.006937873617319619,0.04017130423850012,1.3010426069826053e-18,1.4966726303100585e-11,0.0,orthogonal_cross,241,00157,train
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True,core_extension,denim-boundary-00159,1,308182866.83132845,0.006203668478753539,0.03411742291123388,4.336808689942018e-19,1.4615271772657123e-11,0.0,orthogonal_cross,241,00159,train
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True,core_extension,denim-boundary-00160,1,295303684.14858115,0.005614941971723427,0.02929540458831947,9.893344823930228e-19,1.3865956238337926e-11,0.0,orthogonal_cross,241,00160,train
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True,core_extension,denim-boundary-00166,1,394452410.1907956,0.010676433091917643,0.07156246312123916,1.0842021724855044e-18,1.6340400491442e-11,0.0,orthogonal_cross,241,00166,train
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True,core_extension,denim-boundary-00167,1,380125129.7706015,0.009846170010167504,0.06452078116544055,1.3010426069826053e-18,1.6026198863983155e-11,0.0,orthogonal_cross,241,00167,train
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True,core_extension,denim-boundary-00168,1,340899914.18714905,0.007752765556538676,0.04693299198491663,1.734723475976807e-18,1.4306604862213134e-11,0.0,orthogonal_cross,241,00168,train
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True,core_extension,denim-boundary-00172,1,409025894.3646622,0.01154612080013287,0.07897243663412525,8.673617379884035e-19,1.6884080001286098e-11,0.0,orthogonal_cross,241,00172,train
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True,core_extension,denim-boundary-00173,1,286726407.4259785,0.005229463141947355,0.02616932362028678,4.336808689942018e-19,1.340146575655256e-11,0.0,orthogonal_cross,241,00173,train
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True,core_extension,denim-boundary-00174,1,408923798.8027482,0.011539935322327425,0.07891961555578532,1.734723475976807e-18,1.683150018964495e-11,0.0,orthogonal_cross,241,00174,train
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True,core_extension,denim-boundary-00175,1,241874634.3138779,0.0033283268696025613,0.011265422268577756,2.168404344971009e-19,1.2584456375667027e-11,0.0,orthogonal_cross,241,00175,train
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True,core_extension,denim-boundary-00176,1,264280611.81479624,0.004243755563079237,0.018271864475303698,4.336808689942018e-19,1.3188592025211879e-11,0.0,orthogonal_cross,241,00176,train
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True,core_extension,denim-boundary-00177,1,306071215.8470572,0.0061064018277756085,0.03331790237059486,4.336808689942018e-19,1.461782625743321e-11,0.0,orthogonal_cross,241,00177,train
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True,core_extension,denim-boundary-00178,1,390694923.4566432,0.010456452568669367,0.0696941295436397,1.734723475976807e-18,1.596254961831229e-11,0.0,orthogonal_cross,241,00178,train
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True,core_extension,denim-boundary-00179,1,343915002.5031899,0.007899469637330448,0.04815702441791017,2.0599841277224584e-18,1.5128297465188162e-11,0.0,orthogonal_cross,241,00179,train
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True,core_extension,denim-boundary-00180,1,410465333.18479663,0.011633471045166625,0.07971851096821697,1.81603863891322e-18,1.691345657621111e-11,0.0,orthogonal_cross,241,00180,train
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True,core_extension,denim-boundary-00181,1,363182324.5069137,0.00889463935027038,0.056493174785879605,8.673617379884035e-19,1.5648347990853446e-11,0.0,orthogonal_cross,241,00181,train
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True,core_extension,denim-boundary-00182,1,258675341.7198335,0.004002710433813701,0.016380737634348205,6.505213034913027e-19,1.3041496276855469e-11,0.0,orthogonal_cross,241,00182,train
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True,core_extension,denim-boundary-00183,1,260720315.73382288,0.004090398295628933,0.017064647151298074,2.168404344971009e-19,1.3042347771780831e-11,0.0,orthogonal_cross,241,00183,train
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True,core_extension,denim-boundary-00184,1,237311702.4943869,0.0031538084475608184,0.009979410869963175,5.421010862427522e-19,1.2102510247911726e-11,0.0,orthogonal_cross,241,00184,train
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True,core_extension,denim-boundary-00185,1,387733795.58086145,0.010284297347916312,0.06823322531658979,1.734723475976807e-18,1.6557744571140834e-11,0.0,orthogonal_cross,241,00185,train
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True,core_extension,denim-boundary-00186,1,275717126.18446094,0.004741768048915856,0.022242129840590888,1.3010426069826053e-18,1.3501090662819999e-11,0.0,orthogonal_cross,241,00186,train
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True,core_extension,denim-boundary-00187,1,287364771.8194781,0.005257971372662529,0.026399647253068717,4.336808689942018e-19,1.370800392968314e-11,0.0,orthogonal_cross,241,00187,train
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True,core_extension,denim-boundary-00188,1,246695390.07678223,0.0035136951454831527,0.012650789943968002,2.168404344971009e-19,1.2754755360739572e-11,0.0,orthogonal_cross,241,00188,train
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True,core_extension,denim-boundary-00189,1,235852087.47971386,0.0030982061570817222,0.009577567696124962,4.336808689942018e-19,1.2208308492388043e-11,0.0,orthogonal_cross,241,00189,train
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True,core_extension,denim-boundary-00190,1,359773565.9056812,0.008707142934415052,0.05491781507870575,2.6020852139652106e-18,1.5897836003984722e-11,0.0,orthogonal_cross,241,00190,train
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True,core_extension,denim-boundary-00191,1,309055995.882771,0.006243966492953703,0.03444878439807248,8.673617379884035e-19,1.3990061623709543e-11,0.0,orthogonal_cross,241,00191,train
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True,core_extension,denim-boundary-00192,1,296037092.95931596,0.005648148280745712,0.029566009493320104,4.336808689942018e-19,1.4277866908482142e-11,0.0,orthogonal_cross,241,00192,train
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True,core_extension,denim-boundary-00194,1,358535607.941194,0.00863936994374373,0.05434863733727684,8.673617379884035e-19,1.5842701707567487e-11,0.0,orthogonal_cross,241,00194,train
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True,core_extension,denim-boundary-00195,1,363994279.94094425,0.008939492103156862,0.05687015697156016,1.734723475976807e-18,1.541461263384138e-11,0.0,orthogonal_cross,241,00195,train
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True,core_extension,denim-boundary-00196,1,392042396.00193846,0.010535142651767916,0.0703622499646295,1.734723475976807e-18,1.642427274159023e-11,0.0,orthogonal_cross,241,00196,train
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True,core_extension,denim-boundary-00197,1,285092984.32205534,0.005156648940309825,0.025581275178387375,4.336808689942018e-19,1.4013051986694336e-11,0.0,orthogonal_cross,241,00197,train
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True,core_extension,denim-boundary-00198,1,244608579.08404437,0.003433359642877274,0.012048842088721555,6.505213034913027e-19,1.235391412462507e-11,0.0,orthogonal_cross,241,00198,train
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True,core_extension,denim-boundary-00199,1,278681797.14282477,0.004872304069455696,0.023290585847395247,1.3010426069826053e-18,1.3850629329681396e-11,0.0,orthogonal_cross,241,00199,train
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True,core_extension,denim-boundary-00200,1,291188701.4748801,0.005144053482982607,0.02488966061956739,0.0,1.3427436351776122e-11,0.0,nonproportional_square,241,00200,train
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True,core_extension,denim-boundary-00201,1,402406130.8041651,0.010484336964232436,0.059909526468300646,0.0,1.5188114983694892e-11,0.0,nonproportional_square,241,00201,train
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True,core_extension,denim-boundary-00202,1,315372523.1861371,0.006225324211599011,0.0318724752651473,0.0,1.4377491814749581e-11,0.0,nonproportional_square,241,00202,train
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True,core_extension,denim-boundary-00203,1,288489557.05590945,0.005024222601002283,0.024115926278943243,0.0,1.3322489602225167e-11,0.0,nonproportional_square,241,00203,train
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True,core_extension,denim-boundary-00204,1,298086548.9655919,0.005451137664409994,0.026871127591058995,0.0,1.3715454510280064e-11,0.0,nonproportional_square,241,00204,train
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True,core_extension,denim-boundary-00205,1,236947543.4644437,0.0030433008356883077,0.011239903532968424,0.0,1.2322408812386649e-11,0.0,nonproportional_square,241,00205,train
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True,core_extension,denim-boundary-00206,1,404952527.2150284,0.01062129954411124,0.060827483266358826,0.0,1.5611307961600167e-11,0.0,nonproportional_square,241,00206,train
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True,core_extension,denim-boundary-00207,1,341058446.7782973,0.007392566360682559,0.03946579510796106,0.0,1.4475413731166295e-11,0.0,nonproportional_square,241,00207,train
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True,core_extension,denim-boundary-00208,1,286573993.60706234,0.0049392964993736806,0.023567566845985665,0.0,1.357048749923706e-11,0.0,nonproportional_square,241,00208,train
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True,core_extension,denim-boundary-00209,1,358695039.35372585,0.008230080447818318,0.04494786570168261,0.0,1.4651460306985038e-11,0.0,nonproportional_square,241,00209,train
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True,core_extension,denim-boundary-00210,1,319403865.40106195,0.006406942238470673,0.033048899716220666,0.0,1.440197229385376e-11,0.0,nonproportional_square,241,00210,train
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True,core_extension,denim-boundary-00211,1,407253190.4472045,0.01074566909741066,0.06166172997876633,0.0,1.579033476965768e-11,0.0,nonproportional_square,241,00211,train
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| 214 |
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True,core_extension,denim-boundary-00212,1,402803033.0762707,0.010505637921610784,0.0600521841383986,0.0,1.559598105294364e-11,0.0,nonproportional_square,241,00212,train
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True,core_extension,denim-boundary-00213,1,345570457.1112807,0.0076004125927923724,0.04082365614895665,0.0,1.4615697520119803e-11,0.0,nonproportional_square,241,00213,train
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True,core_extension,denim-boundary-00214,1,327967951.21330357,0.00679462112627954,0.035569871579392565,0.0,1.4111612524305071e-11,0.0,nonproportional_square,241,00214,train
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| 217 |
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True,core_extension,denim-boundary-00215,1,340710086.7621114,0.007376557560657754,0.039361315257702034,0.0,1.4149929795946394e-11,0.0,nonproportional_square,241,00215,train
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| 218 |
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True,core_extension,denim-boundary-00216,1,294272969.08105403,0.005281224052828104,0.02577496026339601,0.0,1.3500026294163295e-11,0.0,nonproportional_square,241,00216,train
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| 219 |
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True,core_extension,denim-boundary-00217,1,377070345.0972017,0.009157337607308049,0.051070501722400706,0.0,1.477492707116263e-11,0.0,nonproportional_square,241,00217,train
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| 220 |
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True,core_extension,denim-boundary-00218,1,328079281.10020155,0.0067996776856397234,0.0356027652258198,0.0,1.4197826385498046e-11,0.0,nonproportional_square,241,00218,train
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| 221 |
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True,core_extension,denim-boundary-00219,1,315969732.8955484,0.006252195232250207,0.03204647095258373,0.0,1.4177177633558e-11,0.0,nonproportional_square,241,00219,train
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| 222 |
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True,core_extension,denim-boundary-00220,1,321861874.7453091,0.006517957221484888,0.0337705860189155,0.0,1.3960259301321846e-11,0.0,nonproportional_square,241,00220,train
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| 223 |
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True,core_extension,denim-boundary-00221,1,342264060.52655566,0.007448011888001775,0.03982786370774584,0.0,1.4734268188476562e-11,0.0,nonproportional_square,241,00221,train
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| 224 |
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True,core_extension,denim-boundary-00222,1,317896670.15185076,0.006338969541262086,0.03260837934713621,0.0,1.3826148850577218e-11,0.0,nonproportional_square,241,00222,train
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| 225 |
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True,core_extension,denim-boundary-00223,1,394015110.47920585,0.01003773601231119,0.05692478583545843,0.0,1.5462722097124373e-11,0.0,nonproportional_square,241,00223,train
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| 226 |
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True,core_extension,denim-boundary-00224,1,301344225.6186812,0.005596548924028591,0.027808515615021047,0.0,1.3591561998639787e-11,0.0,nonproportional_square,241,00224,train
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| 227 |
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True,core_extension,denim-boundary-00225,1,361001042.96594924,0.008345006877597148,0.04570264107820816,0.0,1.4669554574148994e-11,0.0,nonproportional_square,241,00225,train
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| 228 |
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True,core_extension,denim-boundary-00226,1,321391685.97276086,0.006496706034998333,0.03363240484724779,0.0,1.4193568910871233e-11,0.0,nonproportional_square,241,00226,train
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| 229 |
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True,core_extension,denim-boundary-00227,1,368510306.807402,0.008722197469945429,0.0481895494625989,0.0,1.499056816101074e-11,0.0,nonproportional_square,241,00227,train
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| 230 |
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True,core_extension,denim-boundary-00228,1,355803726.844894,0.008086504752104273,0.04400559040531672,0.0,1.453970159803118e-11,0.0,nonproportional_square,241,00228,train
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| 231 |
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True,core_extension,denim-boundary-00229,1,311726621.3082287,0.0060615058475607985,0.030811705139122975,0.0,1.4230821813855852e-11,0.0,nonproportional_square,241,00229,train
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| 232 |
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True,core_extension,denim-boundary-00230,1,412924752.64355814,0.011054869187832302,0.06373884169939727,0.0,1.591593027114868e-11,0.0,nonproportional_square,241,00230,train
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| 233 |
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True,core_extension,denim-boundary-00231,1,350786360.3192745,0.007841888643852258,0.04240285097842535,0.0,1.4577805995941163e-11,0.0,nonproportional_square,241,00231,train
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| 234 |
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True,core_extension,denim-boundary-00232,1,262986035.583329,0.003990726790596527,0.017425423105769146,0.0,1.286076647894723e-11,0.0,nonproportional_square,241,00232,train
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| 235 |
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True,core_extension,denim-boundary-00233,1,278596661.4473333,0.004586657463162297,0.021285958513712528,0.0,1.3528764247894287e-11,0.0,nonproportional_square,241,00233,train
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| 236 |
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True,core_extension,denim-boundary-00234,1,386429147.2550733,0.009640223146269791,0.05427694386327224,0.0,1.530306679861886e-11,0.0,nonproportional_square,241,00234,train
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| 237 |
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True,core_extension,denim-boundary-00235,1,412126508.61481786,0.011011122153472936,0.06344463602502196,0.0,1.5895281519208634e-11,0.0,nonproportional_square,241,00235,train
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| 238 |
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True,core_extension,denim-boundary-00236,1,324486980.575789,0.006636740754239176,0.03454300384560095,0.0,1.4449868883405412e-11,0.0,nonproportional_square,241,00236,train
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| 239 |
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True,core_extension,denim-boundary-00237,1,260579912.8425054,0.003900612667453461,0.016838797847519127,0.0,1.2427142688206263e-11,0.0,nonproportional_square,241,00237,train
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| 240 |
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True,core_extension,denim-boundary-00238,1,395620490.92064416,0.010122624115604243,0.057491478112625394,0.0,1.5444840703691755e-11,0.0,nonproportional_square,241,00238,train
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| 241 |
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True,core_extension,denim-boundary-00239,1,271646078.3367358,0.004317012399736721,0.019540988243059575,0.0,1.3004669121333532e-11,0.0,nonproportional_square,241,00239,train
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| 242 |
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True,core_extension,denim-boundary-00240,1,363901280.56718457,0.00849014385829133,0.046657760046598475,0.0,1.4978647232055663e-11,0.0,nonproportional_square,241,00240,train
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True,core_extension,denim-boundary-00241,1,310407521.02405554,0.00600232872888419,0.030428483006214632,0.0,1.3863401753561837e-11,0.0,nonproportional_square,241,00241,train
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True,core_extension,denim-boundary-00242,1,243101655.42568085,0.0032594640971703092,0.012666318929892688,0.0,1.2390102658952986e-11,0.0,nonproportional_square,241,00242,train
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True,core_extension,denim-boundary-00243,1,404051189.31300014,0.010572737202600909,0.06050189894417195,0.0,1.595020294189453e-11,0.0,nonproportional_square,241,00243,train
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True,core_extension,denim-boundary-00244,1,360397318.9041637,0.008314881986864232,0.04550475285390156,0.0,1.4710639204297747e-11,0.0,nonproportional_square,241,00244,train
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True,core_extension,denim-boundary-00245,1,367244735.20610315,0.008658322444885545,0.04776770411077477,0.0,1.5319032328469413e-11,0.0,nonproportional_square,241,00245,train
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True,core_extension,denim-boundary-00246,1,239739815.05894735,0.0031406226065967577,0.011883516081437057,0.0,1.237903322492327e-11,0.0,nonproportional_square,241,00246,train
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True,core_extension,denim-boundary-00247,1,243449387.38311163,0.003271867243297653,0.012747720742293129,0.0,1.2126139232090542e-11,0.0,nonproportional_square,241,00247,train
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True,core_extension,denim-boundary-00248,1,398713221.9786385,0.010286900855270632,0.05858893286932347,0.0,1.510317836488996e-11,0.0,nonproportional_square,241,00248,train
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| 251 |
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True,core_extension,denim-boundary-00249,1,422717086.9017466,0.011597879103827332,0.06739686836727923,0.0,1.6057917049952917e-11,0.0,nonproportional_square,241,00249,train
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True,core_extension,denim-boundary-00250,1,281997398.26045436,0.005660306821418118,0.017318924897924446,4.336808689942018e-18,1.3215414115360805e-11,0.0,rotating_principal_cycle,241,00250,validation
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True,core_extension,denim-boundary-00251,1,336456779.01382333,0.008865379970240738,0.029872795641214117,7.37257477290143e-18,1.4359610421316964e-11,0.0,rotating_principal_cycle,241,00251,validation
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True,core_extension,denim-boundary-00252,1,349799204.9627861,0.009771558319982433,0.03343079409498348,2.065405138584886e-17,1.4485844544001988e-11,0.0,rotating_principal_cycle,241,00252,validation
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True,core_extension,denim-boundary-00253,1,338123739.10479164,0.008975992881957323,0.03030654709323159,1.2685165418080402e-17,1.4123107705797468e-11,0.0,rotating_principal_cycle,241,00253,validation
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True,core_extension,denim-boundary-00254,1,340203811.5105369,0.009115056062685424,0.030852267514567617,5.2583805365546965e-18,1.3694805758340018e-11,0.0,rotating_principal_cycle,241,00254,validation
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True,core_extension,denim-boundary-00255,1,282282199.6450238,0.0056755970841207565,0.017379047860673753,5.7462715141731735e-18,1.346383775983538e-11,0.0,rotating_principal_cycle,241,00255,validation
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True,core_extension,denim-boundary-00256,1,231197590.54599488,0.003061836423400366,0.006832201318023176,1.8431436932253575e-18,1.1792991842542376e-11,0.0,rotating_principal_cycle,241,00256,validation
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True,core_extension,denim-boundary-00257,1,257377328.27617398,0.00434588226689539,0.01211246204661463,4.336808689942018e-18,1.1871755123138428e-11,0.0,rotating_principal_cycle,241,00257,validation
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True,core_extension,denim-boundary-00258,1,315159633.84527934,0.007513285630131954,0.024582615864891917,3.0357660829594124e-18,1.3117917946406773e-11,0.0,rotating_principal_cycle,241,00258,validation
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True,core_extension,denim-boundary-00259,1,365399685.9886586,0.010787758651353405,0.03743178196969789,1.22514845490862e-17,1.3953021594456263e-11,0.0,rotating_principal_cycle,241,00259,validation
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True,core_extension,denim-boundary-00260,1,373540499.50946826,0.011290594648697047,0.039417793535705875,1.973247953923618e-17,1.4451571873256138e-11,0.0,rotating_principal_cycle,241,00260,validation
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True,core_extension,denim-boundary-00261,1,338196271.8475106,0.008980822864477931,0.03032549929740519,3.0357660829594124e-18,1.3990061623709543e-11,0.0,rotating_principal_cycle,241,00261,validation
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True,core_extension,denim-boundary-00262,1,269446759.89901185,0.004982675860931811,0.014644897541890106,2.8189256484623115e-18,1.300743647984096e-11,0.0,rotating_principal_cycle,241,00262,validation
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True,core_extension,denim-boundary-00263,1,291879510.94113195,0.006202019972113569,0.019446380879676036,9.64939933512099e-18,1.3394228049686976e-11,0.0,rotating_principal_cycle,241,00263,validation
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True,core_extension,denim-boundary-00264,1,354807906.68499976,0.010115033357138318,0.03478161544185231,5.7462715141731735e-18,1.4368338244301932e-11,0.0,rotating_principal_cycle,241,00264,validation
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True,core_extension,denim-boundary-00265,1,369756839.585254,0.011055803716591029,0.038489749738847785,1.1275702593849246e-17,1.3421475887298585e-11,0.0,rotating_principal_cycle,241,00265,validation
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True,core_extension,denim-boundary-00266,1,289351448.17519534,0.006062821206739352,0.018899695153342676,6.071532165918825e-18,1.2936336653573173e-11,0.0,rotating_principal_cycle,241,00266,validation
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True,core_extension,denim-boundary-00267,1,272689477.3283631,0.005155668636750248,0.015328666686768673,4.9873299934333204e-18,1.2818191732679095e-11,0.0,rotating_principal_cycle,241,00267,validation
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True,core_extension,denim-boundary-00268,1,363910065.52123576,0.01069667028600443,0.037072553712005026,8.673617379884035e-18,1.4077339853559221e-11,0.0,rotating_principal_cycle,241,00268,validation
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True,core_extension,denim-boundary-00269,1,324322195.68885535,0.008063693721523147,0.026734892194848994,4.336808689942018e-18,1.3511521475655692e-11,0.0,rotating_principal_cycle,241,00269,validation
|
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True,core_extension,denim-boundary-00270,1,343423501.75708985,0.009332590372818377,0.03170623334774182,5.421010862427522e-18,1.3734400272369385e-11,0.0,rotating_principal_cycle,241,00270,validation
|
| 273 |
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True,core_extension,denim-boundary-00271,1,349509465.4372929,0.009751371943062819,0.033351444130402745,9.974659986866641e-18,1.4184415340423584e-11,0.0,rotating_principal_cycle,241,00271,validation
|
| 274 |
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True,core_extension,denim-boundary-00272,1,354015204.27018225,0.010060491570653548,0.034567019195157755,6.288372600415926e-18,1.4252322060721261e-11,0.0,rotating_principal_cycle,241,00272,validation
|
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True,core_extension,denim-boundary-00273,1,308804280.50196624,0.0071511629950451365,0.023166243930472067,3.903127820947816e-18,1.3371024812970843e-11,0.0,rotating_principal_cycle,241,00273,validation
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True,core_extension,denim-boundary-00274,1,335835346.16863215,0.008824332980550928,0.029712058723034993,9.540979117872439e-18,1.3534086091177804e-11,0.0,rotating_principal_cycle,241,00274,validation
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True,core_extension,denim-boundary-00275,1,326670166.8017754,0.008216157009642464,0.027331384083056968,6.938893903907228e-18,1.3675008501325335e-11,0.0,rotating_principal_cycle,241,00275,validation
|
| 278 |
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True,core_extension,denim-boundary-00276,1,293174472.5399666,0.006273222904330866,0.01972599471480534,5.421010862427522e-18,1.2841607843126569e-11,0.0,rotating_principal_cycle,241,00276,validation
|
| 279 |
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True,core_extension,denim-boundary-00277,1,334526642.85259813,0.008738224637248191,0.029374894757459927,1.8973538018496328e-17,1.3614765235355922e-11,0.0,rotating_principal_cycle,241,00277,validation
|
| 280 |
+
True,core_extension,denim-boundary-00278,1,242416345.671627,0.0035768132130968816,0.008984875806918643,2.168404344971009e-18,1.2077391147613526e-11,0.0,rotating_principal_cycle,241,00278,validation
|
| 281 |
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True,core_extension,denim-boundary-00279,1,271724323.58818173,0.0051037642343421,0.015123137651508984,3.713392440762853e-18,1.2311339378356934e-11,0.0,rotating_principal_cycle,241,00279,validation
|
| 282 |
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True,core_extension,denim-boundary-00280,1,292916335.37733346,0.006258994384493608,0.019670128763804123,4.87890977618477e-18,1.293867826461792e-11,0.0,rotating_principal_cycle,241,00280,validation
|
| 283 |
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True,core_extension,denim-boundary-00281,1,233358739.33494806,0.0031566783989940258,0.00723125018645849,1.5720931501039814e-18,1.1711461203438894e-11,0.0,rotating_principal_cycle,241,00281,validation
|
| 284 |
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True,core_extension,denim-boundary-00282,1,254342351.200428,0.004187377285255805,0.011475228238063274,3.0357660829594124e-18,1.1952221393585206e-11,0.0,rotating_principal_cycle,241,00282,validation
|
| 285 |
+
True,core_extension,denim-boundary-00283,1,368627794.71327424,0.01098611130966687,0.03821453714824979,9.64939933512099e-18,1.4163766588483538e-11,0.0,rotating_principal_cycle,241,00283,validation
|
| 286 |
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True,core_extension,denim-boundary-00284,1,344130568.8990255,0.009380735493438668,0.03189529022465721,7.914675859144182e-18,1.3612423624311175e-11,0.0,rotating_principal_cycle,241,00284,validation
|
| 287 |
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True,core_extension,denim-boundary-00285,1,244828252.98590696,0.003699319118202563,0.009489666479067656,1.4230153513872246e-18,1.1543503829411098e-11,0.0,rotating_principal_cycle,241,00285,validation
|
| 288 |
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True,core_extension,denim-boundary-00286,1,257721899.93840542,0.004364190491553412,0.012185861281829764,5.9631119486702744e-18,1.2127629348209926e-11,0.0,rotating_principal_cycle,241,00286,validation
|
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True,core_extension,denim-boundary-00287,1,355857054.22674406,0.010187456392726944,0.03506662150450287,5.421010862427522e-18,1.4312139579227992e-11,0.0,rotating_principal_cycle,241,00287,validation
|
| 290 |
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True,core_extension,denim-boundary-00288,1,249925257.98715168,0.003959336701040831,0.010552317370144872,5.421010862427522e-18,1.2557634285518101e-11,0.0,rotating_principal_cycle,241,00288,validation
|
| 291 |
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True,core_extension,denim-boundary-00289,1,275043828.5059307,0.005283332165851683,0.01583344032704412,4.336808689942018e-18,1.245417765208653e-11,0.0,rotating_principal_cycle,241,00289,validation
|
| 292 |
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True,core_extension,denim-boundary-00290,1,357335254.02705246,0.010289958049296161,0.035470113997439025,3.469446951953614e-18,1.4800046171460832e-11,0.0,rotating_principal_cycle,241,00290,validation
|
| 293 |
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True,core_extension,denim-boundary-00291,1,354338182.1444275,0.010082695460591488,0.03465437635171678,5.936006894358137e-18,1.43085207257952e-11,0.0,rotating_principal_cycle,241,00291,validation
|
| 294 |
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True,core_extension,denim-boundary-00292,1,291269824.3868338,0.006168648705628199,0.01931529429439884,4.336808689942018e-18,1.2604679380144393e-11,0.0,rotating_principal_cycle,241,00292,validation
|
| 295 |
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True,core_extension,denim-boundary-00293,1,307671408.31769705,0.007086397175861268,0.022912819849717336,2.6020852139652106e-18,1.3569848878043038e-11,0.0,rotating_principal_cycle,241,00293,validation
|
| 296 |
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True,core_extension,denim-boundary-00294,1,346632277.61352044,0.00955215017308758,0.03256857180831635,6.5052130349130266e-18,1.3793153422219413e-11,0.0,rotating_principal_cycle,241,00294,validation
|
| 297 |
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True,core_extension,denim-boundary-00295,1,360245454.00233394,0.010473732466284646,0.036193886131177515,7.806255641895632e-18,1.3899590287889754e-11,0.0,rotating_principal_cycle,241,00295,validation
|
| 298 |
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True,core_extension,denim-boundary-00296,1,260149681.97268435,0.004490137261670496,0.012689723575849231,3.469446951953614e-18,1.2259398187909807e-11,0.0,rotating_principal_cycle,241,00296,validation
|
| 299 |
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True,core_extension,denim-boundary-00297,1,338055073.08701235,0.008971421663510278,0.03028861050808591,4.336808689942018e-18,1.407074076788766e-11,0.0,rotating_principal_cycle,241,00297,validation
|
| 300 |
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True,core_extension,denim-boundary-00298,1,278731787.0240072,0.005481323671377146,0.016614458377568798,6.938893903907228e-18,1.2455242020743234e-11,0.0,rotating_principal_cycle,241,00298,validation
|
| 301 |
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True,core_extension,denim-boundary-00299,1,336445738.71373296,0.008864649849814965,0.029869936483458714,5.637851296924623e-18,1.3712687151772636e-11,0.0,rotating_principal_cycle,241,00299,validation
|
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True,path,denim-boundary-00300,1,283038706.913489,0.004056272818009856,0.014223665521991651,0.0,1.2233214718954904e-11,0.0,out_of_phase_lissajous,241,00300,test_path_ood
|
| 303 |
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True,path,denim-boundary-00301,1,358785340.0716555,0.007005005247206861,0.03290556857131032,0.0,1.3882347515651158e-11,0.0,out_of_phase_lissajous,241,00301,test_path_ood
|
| 304 |
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True,path,denim-boundary-00302,1,256065601.09131637,0.003101783317151497,0.011161209595038423,0.0,1.2105703353881836e-11,0.0,out_of_phase_lissajous,241,00302,test_path_ood
|
| 305 |
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True,path,denim-boundary-00303,1,288652346.60729015,0.004228138640291063,0.015745927556500686,0.0,1.2587862355368479e-11,0.0,out_of_phase_lissajous,241,00303,test_path_ood
|
| 306 |
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True,path,denim-boundary-00304,1,409917211.4030338,0.009500151148349052,0.048300865585388465,0.0,1.4612930161612374e-11,0.0,out_of_phase_lissajous,241,00304,test_path_ood
|
| 307 |
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True,path,denim-boundary-00305,1,312426893.3242921,0.005355796475855438,0.028507821087375138,0.0,1.424551010131836e-11,0.0,out_of_phase_lissajous,241,00305,test_path_ood
|
| 308 |
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True,path,denim-boundary-00306,1,389402315.9297154,0.009125206887764654,0.051718183888329876,0.0,1.572753701891218e-11,0.0,out_of_phase_lissajous,241,00306,test_path_ood
|
| 309 |
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True,path,denim-boundary-00307,1,372968782.1896072,0.007829223016552657,0.040271459547683776,0.0,1.4497765472957066e-11,0.0,out_of_phase_lissajous,241,00307,test_path_ood
|
| 310 |
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True,path,denim-boundary-00308,1,401780908.15902644,0.010650281883240383,0.0657781285372008,0.0,1.6183938298906598e-11,0.0,out_of_phase_lissajous,241,00308,test_path_ood
|
| 311 |
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True,path,denim-boundary-00309,1,442859921.6935425,0.011413523904224735,0.0592896820327544,0.0,1.559363944189889e-11,0.0,out_of_phase_lissajous,241,00309,test_path_ood
|
| 312 |
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True,path,denim-boundary-00310,1,275444350.68893594,0.003768979301957927,0.015482129373831451,0.0,1.2475465025220599e-11,0.0,out_of_phase_lissajous,241,00310,test_path_ood
|
| 313 |
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True,path,denim-boundary-00311,1,318516501.2685617,0.005465559286509417,0.027158379982290825,0.0,1.396451677594866e-11,0.0,out_of_phase_lissajous,241,00311,test_path_ood
|
| 314 |
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True,path,denim-boundary-00312,1,349793596.0463137,0.007081383118371456,0.03915688618758248,0.0,1.4429220131465367e-11,0.0,out_of_phase_lissajous,241,00312,test_path_ood
|
| 315 |
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True,path,denim-boundary-00313,1,345330601.82375836,0.007075347615183026,0.0409610080990001,0.0,1.5260917799813407e-11,0.0,out_of_phase_lissajous,241,00313,test_path_ood
|
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True,path,denim-boundary-00314,1,361578714.29012394,0.007966687261524498,0.04704278409429091,0.0,1.5367567539215087e-11,0.0,out_of_phase_lissajous,241,00314,test_path_ood
|
| 317 |
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True,path,denim-boundary-00315,1,414340847.0188006,0.010466473000278304,0.059314939811605384,0.0,1.5429513795035226e-11,0.0,out_of_phase_lissajous,241,00315,test_path_ood
|
| 318 |
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True,path,denim-boundary-00316,1,270724725.25191516,0.0036161955277490584,0.015429346070711496,0.0,1.250377723148891e-11,0.0,out_of_phase_lissajous,241,00316,test_path_ood
|
| 319 |
+
True,path,denim-boundary-00317,1,370639651.2704301,0.00854362619199123,0.05115177020721621,0.0,1.6045357499803817e-11,0.0,out_of_phase_lissajous,241,00317,test_path_ood
|
| 320 |
+
True,path,denim-boundary-00318,1,359652894.261561,0.007042954046590277,0.033274312834584485,0.0,1.416781118937901e-11,0.0,out_of_phase_lissajous,241,00318,test_path_ood
|
| 321 |
+
True,path,denim-boundary-00319,1,417852659.38107175,0.01195684921837079,0.07531380802315114,0.0,1.7615939889635358e-11,0.0,out_of_phase_lissajous,241,00319,test_path_ood
|
| 322 |
+
True,path,denim-boundary-00320,1,307327438.233373,0.005142314306253961,0.02731215729148655,0.0,1.4599519116537913e-11,0.0,out_of_phase_lissajous,241,00320,test_path_ood
|
| 323 |
+
True,path,denim-boundary-00321,1,437178712.5216641,0.011040080210012895,0.0544638483074884,0.0,1.5032291412353516e-11,0.0,out_of_phase_lissajous,241,00321,test_path_ood
|
| 324 |
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True,path,denim-boundary-00322,1,269150985.14188904,0.0035510695747403478,0.014208316305393511,0.0,1.2764760426112584e-11,0.0,out_of_phase_lissajous,241,00322,test_path_ood
|
| 325 |
+
True,path,denim-boundary-00323,1,346515012.9134251,0.006966650584443249,0.03884989640341557,0.0,1.4238485268184117e-11,0.0,out_of_phase_lissajous,241,00323,test_path_ood
|
| 326 |
+
True,path,denim-boundary-00324,1,270457219.3947694,0.0036127433127342624,0.015695744309231624,0.0,1.2554654053279331e-11,0.0,out_of_phase_lissajous,241,00324,test_path_ood
|
| 327 |
+
True,path,denim-boundary-00325,1,277497530.5683233,0.003845530609186291,0.01629901968019473,0.0,1.3009778090885707e-11,0.0,out_of_phase_lissajous,241,00325,test_path_ood
|
| 328 |
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True,path,denim-boundary-00326,1,439180808.804049,0.011192432036225648,0.058160064035890566,0.0,1.6364880970546178e-11,0.0,out_of_phase_lissajous,241,00326,test_path_ood
|
| 329 |
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True,path,denim-boundary-00327,1,374719021.6215513,0.008011001071782898,0.0423019152754584,0.0,1.4168449810573034e-11,0.0,out_of_phase_lissajous,241,00327,test_path_ood
|
| 330 |
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True,path,denim-boundary-00328,1,408492619.0776482,0.009934572704705621,0.05489718087891078,0.0,1.64031982421875e-11,0.0,out_of_phase_lissajous,241,00328,test_path_ood
|
| 331 |
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True,path,denim-boundary-00329,1,394047096.9069548,0.008698717536519865,0.03981350967867455,0.0,1.4481799943106516e-11,0.0,out_of_phase_lissajous,241,00329,test_path_ood
|
| 332 |
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True,path,denim-boundary-00330,1,269437829.12420565,0.003570907498953778,0.015106445552692027,0.0,1.3194339615958078e-11,0.0,out_of_phase_lissajous,241,00330,test_path_ood
|
| 333 |
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True,path,denim-boundary-00331,1,369265407.1990693,0.00830351690429015,0.0485906120836026,0.0,1.5762661184583393e-11,0.0,out_of_phase_lissajous,241,00331,test_path_ood
|
| 334 |
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True,path,denim-boundary-00332,1,301234696.1589658,0.004798618619769754,0.024157637688497324,0.0,1.3756539140428816e-11,0.0,out_of_phase_lissajous,241,00332,test_path_ood
|
| 335 |
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True,path,denim-boundary-00333,1,348661102.03978086,0.006591762017087412,0.028794561871521837,0.0,1.3580279690878732e-11,0.0,out_of_phase_lissajous,241,00333,test_path_ood
|
| 336 |
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True,path,denim-boundary-00334,1,372344784.73850983,0.008542512521024202,0.05050285767669441,0.0,1.5491247177124022e-11,0.0,out_of_phase_lissajous,241,00334,test_path_ood
|
| 337 |
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True,path,denim-boundary-00335,1,283472694.91547495,0.0040315161462083915,0.0150549851063003,0.0,1.2708774634769985e-11,0.0,out_of_phase_lissajous,241,00335,test_path_ood
|
| 338 |
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True,path,denim-boundary-00336,1,409267574.15579313,0.01149989467796363,0.07298379680966308,0.0,1.7852016857692173e-11,0.0,out_of_phase_lissajous,241,00336,test_path_ood
|
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True,path,denim-boundary-00337,1,369800066.6121095,0.007532297259909105,0.03678190165337995,0.0,1.4528632164001464e-11,0.0,out_of_phase_lissajous,241,00337,test_path_ood
|
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True,path,denim-boundary-00338,1,317450925.37220794,0.005286566056863741,0.02396118483213012,0.0,1.3096843447004046e-11,0.0,out_of_phase_lissajous,241,00338,test_path_ood
|
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True,path,denim-boundary-00339,1,300761706.6900047,0.00465215399531592,0.018192823193069776,0.0,1.275390386581421e-11,0.0,out_of_phase_lissajous,241,00339,test_path_ood
|
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True,path,denim-boundary-00340,1,258803309.76507682,0.005639124356650659,0.02811323025947058,1.3010426069826053e-18,1.4132261276245117e-11,0.0,random_direction_blocks,241,00340,test_path_ood
|
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True,path,denim-boundary-00341,1,226811991.77043486,0.003631318310487863,0.012600531944589457,6.505213034913027e-19,1.2597015925816128e-11,0.0,random_direction_blocks,241,00341,test_path_ood
|
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True,path,denim-boundary-00342,1,339826362.3433391,0.011142408546329,0.0505689007174314,5.204170427930421e-18,1.5872716903686525e-11,0.0,random_direction_blocks,241,00342,test_path_ood
|
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True,path,denim-boundary-00343,1,217783939.41134256,0.003475884355440984,0.012664075897721483,9.75781955236954e-19,1.327629600252424e-11,0.0,random_direction_blocks,241,00343,test_path_ood
|
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True,path,denim-boundary-00344,1,215945943.88792804,0.006363166056868306,0.029442066936990398,1.734723475976807e-18,1.394557101385934e-11,0.0,random_direction_blocks,241,00344,test_path_ood
|
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True,path,denim-boundary-00345,1,257155818.3527363,0.007336219136255777,0.046274405800456095,2.2768245622195593e-18,1.553701502936227e-11,0.0,random_direction_blocks,241,00345,test_path_ood
|
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True,path,denim-boundary-00346,1,333825012.3886744,0.01067376878627107,0.06762240656808885,3.469446951953614e-18,1.6954328332628522e-11,0.0,random_direction_blocks,241,00346,test_path_ood
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True,path,denim-boundary-00347,1,242232565.22886154,0.004295869763153042,0.017190075276380508,8.673617379884035e-19,1.3172626495361328e-11,0.0,random_direction_blocks,241,00347,test_path_ood
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True,path,denim-boundary-00348,1,265619444.33720607,0.00850155357585372,0.0385048452951624,4.336808689942018e-18,1.5960208007267544e-11,0.0,random_direction_blocks,241,00348,test_path_ood
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True,path,denim-boundary-00349,1,355228047.36572486,0.011755003008556985,0.06862419593023382,5.204170427930421e-18,1.575627497264317e-11,0.0,random_direction_blocks,241,00349,test_path_ood
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True,path,denim-boundary-00350,1,306951255.65930545,0.01029354904361937,0.04528740954269431,3.903127820947816e-18,1.5185560498918805e-11,0.0,random_direction_blocks,241,00350,test_path_ood
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True,path,denim-boundary-00351,1,258102331.80959398,0.009805892684423697,0.042626368770879136,1.951563910473908e-18,1.4903928552355086e-11,0.0,random_direction_blocks,241,00351,test_path_ood
|
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True,path,denim-boundary-00352,1,261850440.1335073,0.009550232290172574,0.05766781379031662,3.3610267347050637e-18,1.6464931624276298e-11,0.0,random_direction_blocks,241,00352,test_path_ood
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True,path,denim-boundary-00353,1,247985697.4088209,0.006355842133365188,0.02950260847529367,8.673617379884035e-19,1.4669128826686314e-11,0.0,random_direction_blocks,241,00353,test_path_ood
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True,path,denim-boundary-00354,1,262229653.4919678,0.010432705591379309,0.05892282900665166,3.2526065174565133e-18,1.727534191949027e-11,0.0,random_direction_blocks,241,00354,test_path_ood
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True,path,denim-boundary-00355,1,199817498.24477023,0.0033938589408491265,0.008096860369702145,4.2012834183813297e-19,1.2172971452985492e-11,0.0,random_direction_blocks,241,00355,test_path_ood
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True,path,denim-boundary-00356,1,223437019.261957,0.004116656530083277,0.010012631421778672,6.505213034913027e-19,1.247248479298183e-11,0.0,random_direction_blocks,241,00356,test_path_ood
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True,path,denim-boundary-00357,1,295397661.41636777,0.008310575979812319,0.04123903358858653,1.5178830414797062e-18,1.5200248786381313e-11,0.0,random_direction_blocks,241,00357,test_path_ood
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| 360 |
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True,path,denim-boundary-00358,1,283279472.7468823,0.009967258061807125,0.04877560558357484,1.734723475976807e-18,1.5412909643990652e-11,0.0,random_direction_blocks,241,00358,test_path_ood
|
| 361 |
+
True,path,denim-boundary-00359,1,205739679.82458296,0.004685809803959835,0.020564197012176374,7.589415207398531e-19,1.315793820789882e-11,0.0,random_direction_blocks,241,00359,test_path_ood
|
| 362 |
+
True,path,denim-boundary-00360,1,188452036.08601782,0.0034876008481849285,0.012009870890814445,4.336808689942018e-19,1.2274725096566337e-11,0.0,random_direction_blocks,241,00360,test_path_ood
|
| 363 |
+
True,path,denim-boundary-00361,1,207533622.23551455,0.003447980460730254,0.009310844772805478,4.336808689942018e-19,1.2392444269997734e-11,0.0,random_direction_blocks,241,00361,test_path_ood
|
| 364 |
+
True,path,denim-boundary-00362,1,302856801.7325727,0.009377824244296402,0.03975982522131513,1.951563910473908e-18,1.590592520577567e-11,0.0,random_direction_blocks,241,00362,test_path_ood
|
| 365 |
+
True,path,denim-boundary-00363,1,292944499.102257,0.011317301272894324,0.07415066934202535,1.3010426069826053e-18,1.793823071888515e-11,0.0,random_direction_blocks,241,00363,test_path_ood
|
| 366 |
+
True,path,denim-boundary-00364,1,301051722.3459817,0.00938973334201534,0.053861429179755525,2.168404344971009e-18,1.609389271054949e-11,0.0,random_direction_blocks,241,00364,test_path_ood
|
| 367 |
+
True,path,denim-boundary-00365,1,355468426.6954347,0.011402215790731684,0.07294597145119716,1.734723475976807e-18,1.7202751977103096e-11,0.0,random_direction_blocks,241,00365,test_path_ood
|
| 368 |
+
True,path,denim-boundary-00366,1,223212537.56484938,0.004330448763643058,0.013188893967334777,2.439454888092385e-19,1.2623625142233712e-11,0.0,random_direction_blocks,241,00366,test_path_ood
|
| 369 |
+
True,path,denim-boundary-00367,1,340625719.1414801,0.009609861971283417,0.04953552215612162,1.734723475976807e-18,1.573094299861363e-11,0.0,random_direction_blocks,241,00367,test_path_ood
|
| 370 |
+
True,path,denim-boundary-00368,1,294572361.3333585,0.011275326601990932,0.050999467756625484,6.5052130349130266e-18,1.6636082104274204e-11,0.0,random_direction_blocks,241,00368,test_path_ood
|
| 371 |
+
True,path,denim-boundary-00369,1,299114880.74561715,0.007251318228992723,0.04391781583564885,4.7704895589362195e-18,1.5551277569362094e-11,0.0,random_direction_blocks,241,00369,test_path_ood
|
| 372 |
+
True,path,denim-boundary-00370,1,247827295.51268536,0.004508871340051542,0.016072957889813257,5.421010862427522e-19,1.3362722737448556e-11,0.0,random_direction_blocks,241,00370,test_path_ood
|
| 373 |
+
True,path,denim-boundary-00371,1,240640047.819048,0.00650175013553122,0.02850373528193686,1.0842021724855044e-18,1.3985804149082729e-11,0.0,random_direction_blocks,241,00371,test_path_ood
|
| 374 |
+
True,path,denim-boundary-00372,1,215071234.33380914,0.005587525400007453,0.024650335309487802,2.100641709190665e-18,1.4172707285199847e-11,0.0,random_direction_blocks,241,00372,test_path_ood
|
| 375 |
+
True,path,denim-boundary-00373,1,319020145.9221953,0.011153193068888498,0.04983227732335039,2.222614453595284e-18,1.5017177377428328e-11,0.0,random_direction_blocks,241,00373,test_path_ood
|
| 376 |
+
True,path,denim-boundary-00374,1,407451930.4354717,0.011493044057212515,0.0668541430876791,2.6020852139652106e-18,1.7216375895908902e-11,0.0,random_direction_blocks,241,00374,test_path_ood
|
| 377 |
+
True,path,denim-boundary-00375,1,353824737.55358905,0.011174419588562141,0.06425739569666168,1.734723475976807e-18,1.6576051712036132e-11,0.0,random_direction_blocks,241,00375,test_path_ood
|
| 378 |
+
True,path,denim-boundary-00376,1,227897712.2948356,0.0037328437214560234,0.012174554105177978,7.589415207398531e-19,1.2228105749402727e-11,0.0,random_direction_blocks,241,00376,test_path_ood
|
| 379 |
+
True,path,denim-boundary-00377,1,324538459.5897408,0.008419130088394181,0.04372132092376784,2.168404344971009e-18,1.5641110283987863e-11,0.0,random_direction_blocks,241,00377,test_path_ood
|
| 380 |
+
True,path,denim-boundary-00378,1,253203041.72083494,0.006208582975094486,0.025734431342960676,1.5178830414797062e-18,1.444923026221139e-11,0.0,random_direction_blocks,241,00378,test_path_ood
|
| 381 |
+
True,path,denim-boundary-00379,1,294610089.5593087,0.00881348478856268,0.05084406278515713,2.8189256484623115e-18,1.5849087919507706e-11,0.0,random_direction_blocks,241,00379,test_path_ood
|
| 382 |
+
True,amplitude_low,denim-boundary-00380,1,230003179.86408472,0.002528021856762955,0.0033783526111511434,0.0,1.1275708675384522e-11,0.0,proportional_axial_cycle,241,00380,test_amplitude_ood
|
| 383 |
+
True,amplitude_low,denim-boundary-00381,1,196310036.23532388,0.0023935470838256285,0.0031844301574256123,0.0,1.0842084884643555e-11,0.0,proportional_shear_cycle,241,00381,test_amplitude_ood
|
| 384 |
+
True,amplitude_low,denim-boundary-00382,1,197850721.58658603,0.0016821241770622966,0.0019371778538831035,0.0,1.0634532996586391e-11,0.0,sequential_axial_shear,241,00382,test_amplitude_ood
|
| 385 |
+
True,amplitude_low,denim-boundary-00383,1,196420638.93712094,0.0016302376013421053,0.001509156852732595,1.0842021724855044e-19,1.0418253285544259e-11,0.0,orthogonal_cross,241,00383,test_amplitude_ood
|
| 386 |
+
True,amplitude_low,denim-boundary-00384,1,159495466.97122073,0.0015367522645422641,0.0015742362515434943,0.0,1.0598770209721156e-11,0.0,nonproportional_square,241,00384,test_amplitude_ood
|
| 387 |
+
True,amplitude_low,denim-boundary-00385,1,210254262.64931577,0.002151320465249636,0.0029262566144518053,1.4094628242311558e-18,1.1010042258671352e-11,0.0,rotating_principal_cycle,241,00385,test_amplitude_ood
|
| 388 |
+
True,amplitude_low,denim-boundary-00386,1,213216928.55617693,0.001967505565622259,0.002545275644503469,0.0,1.0895090443747384e-11,0.0,out_of_phase_lissajous,241,00386,test_amplitude_ood
|
| 389 |
+
True,amplitude_low,denim-boundary-00387,1,171871522.39794645,0.002528989890806248,0.004825305531666632,1.0842021724855044e-19,1.1202692985534667e-11,0.0,random_direction_blocks,241,00387,test_amplitude_ood
|
| 390 |
+
True,amplitude_low,denim-boundary-00388,1,220704358.927824,0.002304623252668724,0.001962473610470213,0.0,1.0633042880467006e-11,0.0,proportional_axial_cycle,241,00388,test_amplitude_ood
|
| 391 |
+
True,amplitude_low,denim-boundary-00389,1,184558767.58364195,0.0019260121311779122,0.002032800776645646,0.0,1.1045592171805245e-11,0.0,proportional_shear_cycle,241,00389,test_amplitude_ood
|
| 392 |
+
True,amplitude_low,denim-boundary-00390,1,214536641.42388618,0.0022957206491957035,0.004315631144966578,0.0,1.058727502822876e-11,0.0,sequential_axial_shear,241,00390,test_amplitude_ood
|
| 393 |
+
True,amplitude_low,denim-boundary-00391,1,203092904.87374836,0.001873994992483664,0.002636798951132816,2.168404344971009e-19,1.0641770703451974e-11,0.0,orthogonal_cross,241,00391,test_amplitude_ood
|
| 394 |
+
True,amplitude_low,denim-boundary-00392,1,207820115.0984118,0.0022359213047330887,0.005992526569552526,0.0,1.17753233228411e-11,0.0,nonproportional_square,241,00392,test_amplitude_ood
|
| 395 |
+
True,amplitude_low,denim-boundary-00393,1,209069092.1381172,0.0020836138994825095,0.002631670665045265,9.75781955236954e-19,1.0858263288225447e-11,0.0,rotating_principal_cycle,241,00393,test_amplitude_ood
|
| 396 |
+
True,amplitude_low,denim-boundary-00394,1,218496746.9174025,0.002001402698840957,0.004567193349298237,0.0,1.1344254016876221e-11,0.0,out_of_phase_lissajous,241,00394,test_amplitude_ood
|
| 397 |
+
True,amplitude_low,denim-boundary-00395,1,198484486.44953147,0.002458750313472356,0.0037254840007243067,2.303929616531697e-19,1.0765237467629569e-11,0.0,random_direction_blocks,241,00395,test_amplitude_ood
|
| 398 |
+
True,amplitude_low,denim-boundary-00396,1,195616979.21607143,0.0015453931240468077,0.00048475727715187615,0.0,9.567609855106899e-12,0.0,proportional_axial_cycle,241,00396,test_amplitude_ood
|
| 399 |
+
True,amplitude_low,denim-boundary-00397,1,181710576.75315115,0.0020139853439172756,0.0011433746972225503,0.0,8.532617773328509e-12,0.0,proportional_shear_cycle,241,00397,test_amplitude_ood
|
| 400 |
+
True,amplitude_low,denim-boundary-00398,1,201418356.7494071,0.0018123596495200373,0.0015033701397372213,0.0,1.0809089456285749e-11,0.0,sequential_axial_shear,241,00398,test_amplitude_ood
|
| 401 |
+
True,amplitude_low,denim-boundary-00399,1,226114551.76275465,0.0027294708379758162,0.007063885827992684,1.6263032587282567e-19,1.1787669999258859e-11,0.0,orthogonal_cross,241,00399,test_amplitude_ood
|
| 402 |
+
True,amplitude_low,denim-boundary-00400,1,215541987.50002274,0.0024021064009610354,0.007014031280226397,0.0,1.2155728680746896e-11,0.0,nonproportional_square,241,00400,test_amplitude_ood
|
| 403 |
+
True,amplitude_low,denim-boundary-00401,1,224106874.61022213,0.0027541120351922536,0.005526441699222796,2.710505431213761e-18,1.138789313180106e-11,0.0,rotating_principal_cycle,241,00401,test_amplitude_ood
|
| 404 |
+
True,amplitude_low,denim-boundary-00402,1,238483270.14396057,0.0025462008408130322,0.007363254203937644,0.0,1.1591613292694092e-11,0.0,out_of_phase_lissajous,241,00402,test_amplitude_ood
|
| 405 |
+
True,amplitude_low,denim-boundary-00403,1,182504589.8458816,0.002643377711220349,0.004692829687535622,1.0842021724855044e-19,1.1786605630602155e-11,0.0,random_direction_blocks,241,00403,test_amplitude_ood
|
| 406 |
+
True,amplitude_low,denim-boundary-00404,1,210926688.47057202,0.0019531148891807281,0.0015673571861111303,0.0,1.0310752051217215e-11,0.0,proportional_axial_cycle,241,00404,test_amplitude_ood
|
| 407 |
+
True,amplitude_low,denim-boundary-00405,1,176442697.84304017,0.0017824982607142076,0.0009727916425939437,0.0,1.0041892528533935e-11,0.0,proportional_shear_cycle,241,00405,test_amplitude_ood
|
| 408 |
+
True,amplitude_low,denim-boundary-00406,1,208298650.18078825,0.0020649866384323495,0.0032445563756250875,0.0,1.1130103043147496e-11,0.0,sequential_axial_shear,241,00406,test_amplitude_ood
|
| 409 |
+
True,amplitude_low,denim-boundary-00407,1,220914735.03677607,0.002534283317249219,0.0059431032403589506,2.168404344971009e-19,1.174147639955793e-11,0.0,orthogonal_cross,241,00407,test_amplitude_ood
|
| 410 |
+
True,amplitude_low,denim-boundary-00408,1,158969620.25667083,0.0015315379760834757,0.0015417823117537487,0.0,1.0238800730024066e-11,0.0,nonproportional_square,241,00408,test_amplitude_ood
|
| 411 |
+
True,amplitude_low,denim-boundary-00409,1,209467519.41132414,0.0021064616828299285,0.002731269751674134,8.673617379884035e-19,1.068115234375e-11,0.0,rotating_principal_cycle,241,00409,test_amplitude_ood
|
| 412 |
+
True,amplitude_high,denim-boundary-00410,1,502794132.7284636,0.01547170668510189,0.08191856697609898,0.0,1.6900684152330672e-11,0.0,out_of_phase_lissajous,241,00410,test_amplitude_ood
|
| 413 |
+
True,amplitude_high,denim-boundary-00411,1,372470419.22292507,0.013610135214965272,0.06459092591159782,4.7704895589362195e-18,1.6369351318904332e-11,0.0,random_direction_blocks,241,00411,test_amplitude_ood
|
| 414 |
+
True,amplitude_high,denim-boundary-00412,1,468061793.46406835,0.015226448825317308,0.05479005400891978,0.0,1.552445547921317e-11,0.0,proportional_axial_cycle,241,00412,test_amplitude_ood
|
| 415 |
+
True,amplitude_high,denim-boundary-00413,1,433534088.23182726,0.017410242212485195,0.06467444831514178,0.0,1.5345002923692974e-11,0.0,proportional_shear_cycle,241,00413,test_amplitude_ood
|
| 416 |
+
True,amplitude_high,denim-boundary-00414,1,485049814.313097,0.01647422588966879,0.06558266824845269,0.0,1.623119626726423e-11,0.0,sequential_axial_shear,241,00414,test_amplitude_ood
|
| 417 |
+
True,amplitude_high,denim-boundary-00415,1,484530444.1620045,0.016509511947586805,0.1218912238355256,6.071532165918825e-18,1.8475524016789028e-11,0.0,orthogonal_cross,241,00415,test_amplitude_ood
|
| 418 |
+
True,amplitude_high,denim-boundary-00416,1,471959466.4018532,0.014541267984557819,0.08745536935585012,0.0,1.6785945211138045e-11,0.0,nonproportional_square,241,00416,test_amplitude_ood
|
| 419 |
+
True,amplitude_high,denim-boundary-00417,1,395123540.16067535,0.012673737051029728,0.04490295949330643,6.938893903907228e-18,1.4509047780718122e-11,0.0,rotating_principal_cycle,241,00417,test_amplitude_ood
|
| 420 |
+
True,amplitude_high,denim-boundary-00418,1,502963636.88026196,0.016672186239901767,0.09800119173482987,0.0,1.807596002306257e-11,0.0,out_of_phase_lissajous,241,00418,test_amplitude_ood
|
| 421 |
+
True,amplitude_high,denim-boundary-00419,1,370341871.04399097,0.01654616102983391,0.09375528804658144,3.469446951953614e-18,1.7721312386648994e-11,0.0,random_direction_blocks,241,00419,test_amplitude_ood
|
| 422 |
+
True,amplitude_high,denim-boundary-00420,1,537463987.717394,0.018226481359052644,0.07738760169764043,0.0,1.7130374908447265e-11,0.0,proportional_axial_cycle,241,00420,test_amplitude_ood
|
| 423 |
+
True,amplitude_high,denim-boundary-00421,1,484406908.79086465,0.01913079601474804,0.08584638665897126,0.0,1.7101849828447613e-11,0.0,proportional_shear_cycle,241,00421,test_amplitude_ood
|
| 424 |
+
True,amplitude_high,denim-boundary-00422,1,440048784.7539039,0.013438549367764783,0.06052775807804891,0.0,1.5236011573246548e-11,0.0,sequential_axial_shear,241,00422,test_amplitude_ood
|
| 425 |
+
True,amplitude_high,denim-boundary-00423,1,521150643.0277444,0.019272055032833937,0.14622490457123463,3.469446951953614e-18,1.9561605794089182e-11,0.0,orthogonal_cross,241,00423,test_amplitude_ood
|
| 426 |
+
True,amplitude_high,denim-boundary-00424,1,481976745.74996656,0.015212739386976265,0.09207722763865449,0.0,1.6555828707558768e-11,0.0,nonproportional_square,241,00424,test_amplitude_ood
|
| 427 |
+
True,amplitude_high,denim-boundary-00425,1,445611015.2655156,0.016422408255726214,0.05992679925879073,1.3227266504323154e-17,1.4885834285191127e-11,0.0,rotating_principal_cycle,241,00425,test_amplitude_ood
|
| 428 |
+
True,amplitude_high,denim-boundary-00426,1,514296780.8464535,0.01991821058681636,0.12719318341458657,0.0,2.0072928496769497e-11,0.0,out_of_phase_lissajous,241,00426,test_amplitude_ood
|
| 429 |
+
True,amplitude_high,denim-boundary-00427,1,330950228.7794288,0.016758636034620855,0.09194040437192576,6.938893903907228e-18,1.7955260617392402e-11,0.0,random_direction_blocks,241,00427,test_amplitude_ood
|
| 430 |
+
True,amplitude_high,denim-boundary-00428,1,437588263.8062832,0.013208172538155972,0.046162512894745454,0.0,1.5248358249664307e-11,0.0,proportional_axial_cycle,241,00428,test_amplitude_ood
|
| 431 |
+
True,amplitude_high,denim-boundary-00429,1,438999198.9400407,0.01701320996173567,0.06681294075385465,0.0,1.600299562726702e-11,0.0,proportional_shear_cycle,241,00429,test_amplitude_ood
|
| 432 |
+
True,amplitude_high,denim-boundary-00430,1,489928144.77847534,0.016821299829438145,0.07702725293069645,0.0,1.68155346597944e-11,0.0,sequential_axial_shear,241,00430,test_amplitude_ood
|
| 433 |
+
True,amplitude_high,denim-boundary-00431,1,509094618.7388042,0.0183058461622322,0.1376763199704141,1.734723475976807e-18,1.9153313977377754e-11,0.0,orthogonal_cross,241,00431,test_amplitude_ood
|
| 434 |
+
True,amplitude_high,denim-boundary-00432,1,499844200.1198745,0.016463343590287855,0.10072829096990413,0.0,1.7708114215305872e-11,0.0,nonproportional_square,241,00432,test_amplitude_ood
|
| 435 |
+
True,amplitude_high,denim-boundary-00433,1,475665487.20930034,0.018978431186595247,0.07030887530490379,1.9678269430611905e-17,1.5720725059509277e-11,0.0,rotating_principal_cycle,241,00433,test_amplitude_ood
|
| 436 |
+
True,amplitude_high,denim-boundary-00434,1,504573478.4638747,0.01571915013769764,0.0863623954307802,0.0,1.7765164375305176e-11,0.0,out_of_phase_lissajous,241,00434,test_amplitude_ood
|
| 437 |
+
True,amplitude_high,denim-boundary-00435,1,435281781.3015151,0.017357619613114342,0.10182949336257292,4.336808689942018e-18,1.9901352269308907e-11,0.0,random_direction_blocks,241,00435,test_amplitude_ood
|
| 438 |
+
True,amplitude_high,denim-boundary-00436,1,526607498.71945393,0.01800118230241076,0.07339954681462016,0.0,1.6774237155914308e-11,0.0,proportional_axial_cycle,241,00436,test_amplitude_ood
|
| 439 |
+
True,amplitude_high,denim-boundary-00437,1,428369609.5922241,0.014730947994130012,0.06314541898286605,0.0,1.623438937323434e-11,0.0,proportional_shear_cycle,241,00437,test_amplitude_ood
|
| 440 |
+
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 489 |
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|
| 490 |
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|
| 491 |
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|
| 492 |
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|
| 493 |
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True,integration_resolution,denim-boundary-00491,1,278649707.79937565,0.004575185216709037,0.0212744047662936,0.0,1.2718992573874338e-11,0.0,nonproportional_square,961,00491,test_discretization
|
| 494 |
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True,integration_resolution,denim-boundary-00492,1,385454020.7890528,0.009717639751297785,0.059501248642389475,0.0,2.8673878737858363e-11,0.0,out_of_phase_lissajous,61,00492,test_discretization
|
| 495 |
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True,integration_resolution,denim-boundary-00493,1,385376232.9512439,0.009717639751297785,0.06005177012331118,0.0,2.1363581929888043e-11,0.0,out_of_phase_lissajous,121,00493,test_discretization
|
| 496 |
+
True,integration_resolution,denim-boundary-00494,1,385580199.4434825,0.009717639751297785,0.06042802894150282,0.0,1.4650608812059675e-11,0.0,out_of_phase_lissajous,481,00494,test_discretization
|
| 497 |
+
True,integration_resolution,denim-boundary-00495,1,385600324.34942997,0.009717639751297785,0.06049174148184923,0.0,1.3842540127890451e-11,0.0,out_of_phase_lissajous,961,00495,test_discretization
|
| 498 |
+
True,integration_resolution,denim-boundary-00496,1,267374278.85128608,0.007694116722296971,0.03761062112548359,8.673617379884035e-19,2.3068487644195556e-11,0.0,random_direction_blocks,61,00496,test_discretization
|
| 499 |
+
True,integration_resolution,denim-boundary-00497,1,270549313.38761395,0.007694116722296971,0.039119553533051764,1.734723475976807e-18,1.6658008098602295e-11,0.0,random_direction_blocks,121,00497,test_discretization
|
| 500 |
+
True,integration_resolution,denim-boundary-00498,1,270452276.2495919,0.007694116722296971,0.03924786523253928,2.168404344971009e-18,1.4007091522216796e-11,0.0,random_direction_blocks,481,00498,test_discretization
|
| 501 |
+
True,integration_resolution,denim-boundary-00499,1,270439134.6570055,0.007694116722296971,0.03927018233332377,2.168404344971009e-18,1.3355697904314313e-11,0.0,random_direction_blocks,961,00499,test_discretization
|
data/t2_denim_boundary_v1/index.jsonl
ADDED
|
The diff for this file is too large to render.
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data/t2_denim_boundary_v1/manifest.json
ADDED
|
@@ -0,0 +1,67 @@
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| 1 |
+
{
|
| 2 |
+
"schema": "agentfem.physics-data.denim-boundary",
|
| 3 |
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|
| 4 |
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|
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|
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|
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|
| 9 |
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|
| 10 |
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"train": 250,
|
| 11 |
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|
| 12 |
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},
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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},
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| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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| 28 |
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| 29 |
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| 30 |
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},
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},
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| 40 |
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| 41 |
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|
| 42 |
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"young_pa",
|
| 43 |
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"poisson",
|
| 44 |
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"yield_stress_pa",
|
| 45 |
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"J2_geometry"
|
| 46 |
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],
|
| 47 |
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| 48 |
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"three_reference_memory_channels",
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|
| 50 |
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|
| 51 |
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],
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"minimum_peeq_increment": 0.0
|
| 57 |
+
},
|
| 58 |
+
"elapsed_seconds": 87.11653137509711,
|
| 59 |
+
"bytes": 39607551,
|
| 60 |
+
"sha256": "558f76e0043f612ef3ab99bf5598e466bbb5694b524a1b0974fb6a839f3e5774",
|
| 61 |
+
"index_files": {
|
| 62 |
+
"jsonl_bytes": 243968,
|
| 63 |
+
"jsonl_sha256": "6a8cb55d5aadfbf022869c6af60119c583a9e48b932af3768ecbcc5599f4efac",
|
| 64 |
+
"csv_bytes": 92207,
|
| 65 |
+
"csv_sha256": "71999d5978ad2b968f00f17e4515ed86f3e956503e6e192c30c9c69a52cc5b60"
|
| 66 |
+
}
|
| 67 |
+
}
|
docs/T2_ALL_DATA_STAGE_SUMMARY.md
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
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|
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|
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|
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|
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|
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|
|
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|
|
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|
|
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|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
| 1 |
+
# T2材料加载记忆与DENIM阶段总结
|
| 2 |
+
|
| 3 |
+
## 数据总量与使用原则
|
| 4 |
+
|
| 5 |
+
当前同一研究主线共有 **2,660条完整轨迹**。不同版本回答不同科学问题，不把它们
|
| 6 |
+
无差别拼接成一个训练集：
|
| 7 |
+
|
| 8 |
+
| 数据版本 | 数量 | 主要作用 |
|
| 9 |
+
|---|---:|---|
|
| 10 |
+
| T2材料加载记忆v1 | 1,008 | 证明加载历史不可忽略，建立点式MLP与GRU基础对照 |
|
| 11 |
+
| T2多轴OOD v2 | 1,024 | 比较多轴路径泛化、参数泛化和完整物理融合上限 |
|
| 12 |
+
| DENIM闭合v1 | 128 | 验证三记忆参考到两记忆模型的不完备物理闭合 |
|
| 13 |
+
| DENIM边界v1 | 500 | 扩展训练密度并测量路径、幅值、长历史和步长边界 |
|
| 14 |
+
| **合计** | **2,660** | 分层证据链，而非2,660条同分布训练样本 |
|
| 15 |
+
|
| 16 |
+
## 分阶段结论
|
| 17 |
+
|
| 18 |
+
### 1. 路径记忆是必要信息
|
| 19 |
+
|
| 20 |
+
在1,008条比例加载数据上，点式MLP测试RMSE为244.54 MPa，历史GRU为
|
| 21 |
+
16.52 MPa。该阶段说明只看当前应变不足以描述塑性记忆。
|
| 22 |
+
|
| 23 |
+
### 2. 多轴路径外推是黑箱模型的主要困难
|
| 24 |
+
|
| 25 |
+
在1,024条多轴数据上，黑箱与弱物理模型的Path-OOD RMSE约为60–106 MPa；
|
| 26 |
+
使用正确生成方程的Physics-integrator NN达到0.0237 MPa，代表完整物理已知条件下
|
| 27 |
+
的白盒上限，不代表未知材料规律下的可实现精度。
|
| 28 |
+
|
| 29 |
+
### 3. DENIM闭合不完备物理
|
| 30 |
+
|
| 31 |
+
DENIM保留J2骨架、关联流动和隐式积分，只学习缺失的硬化与记忆演化。新增500条后，
|
| 32 |
+
训练集由80条增加至330条，验证集由16条增加至66条，同时保留原32条测试不动。
|
| 33 |
+
|
| 34 |
+
| 测试 | 冻结DENIM | 扩展DENIM | 扩展DENIM相对不完备J2 |
|
| 35 |
+
|---|---:|---:|---:|
|
| 36 |
+
| 原发布测试 | 1.136 | **0.714** | RMSE降低98.80% |
|
| 37 |
+
| 新Path-OOD | 1.163 | **0.743** | RMSE降低98.72% |
|
| 38 |
+
| 幅值OOD | 3.091 | **2.294** | RMSE降低96.69% |
|
| 39 |
+
| 长历史 | 11.261 | **10.906** | RMSE降低79.95% |
|
| 40 |
+
|
| 41 |
+
单位均为MPa。新增数据没有改变原测试协议，原发布测试精度提高37.13%，新路径OOD
|
| 42 |
+
提高36.11%，幅值OOD提高25.77%。长历史仅提高3.15%，说明继续堆积普通轨迹的
|
| 43 |
+
边际收益已经下降，下一阶段应针对长周期状态漂移与恢复演化进行模型研究。
|
| 44 |
+
|
| 45 |
+
## 当前阶段判断
|
| 46 |
+
|
| 47 |
+
1. 现有2,660条数据均已获得明确用途，原2,032条不是废弃数据，也不被错误包装成
|
| 48 |
+
DENIM同协议训练样本。
|
| 49 |
+
2. 628条DENIM专用轨迹已足以支持当前固定材料、路径与幅值边界研究；短期无需继续
|
| 50 |
+
无目的扩容。
|
| 51 |
+
3. DENIM在普通未见路径上达到稳定亚MPa水平，对幅值外推保持约2.3 MPa误差；
|
| 52 |
+
长历史约10.9 MPa是当前最明确的能力边界。
|
| 53 |
+
4. 后续优先研究长历史稳定性、内部状态监督减少和物理不完备程度阶梯；不继续海选
|
| 54 |
+
大量普通时序网络。
|
| 55 |
+
|
| 56 |
+
模型与完整机器指标见`artifacts/t2_denim_boundary_v1/model_metrics.json`，对比图见
|
| 57 |
+
`artifacts/t2_denim_boundary_v1/boundary_model_comparison.png`。
|
src/generate_t2_denim_boundary_v1.py
ADDED
|
@@ -0,0 +1,385 @@
|
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|
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|
|
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|
|
|
|
|
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|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Generate 500 targeted trajectories for the DENIM capability-boundary study.
|
| 2 |
+
|
| 3 |
+
The reference material is kept identical to the published DENIM closure
|
| 4 |
+
cohort. New trajectories expand sample density and isolate path, amplitude,
|
| 5 |
+
history-length and integration-step boundaries without changing the hidden
|
| 6 |
+
constitutive law. One sample is always one complete material-point history.
|
| 7 |
+
"""
|
| 8 |
+
|
| 9 |
+
from __future__ import annotations
|
| 10 |
+
|
| 11 |
+
import hashlib
|
| 12 |
+
import csv
|
| 13 |
+
import json
|
| 14 |
+
import subprocess
|
| 15 |
+
import time
|
| 16 |
+
from collections import Counter
|
| 17 |
+
from pathlib import Path
|
| 18 |
+
|
| 19 |
+
import h5py
|
| 20 |
+
import numpy as np
|
| 21 |
+
|
| 22 |
+
from src.generate_t2_graybox_closure import MATERIAL, material
|
| 23 |
+
from src.t2_multiaxial_ood_v2 import (
|
| 24 |
+
PATH_FAMILIES,
|
| 25 |
+
strain_history,
|
| 26 |
+
tensor_to_voigt,
|
| 27 |
+
)
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
ROOT = Path(__file__).resolve().parents[1]
|
| 31 |
+
DATA_DIR = ROOT / "data" / "t2_denim_boundary_v1"
|
| 32 |
+
DATA_PATH = DATA_DIR / "cohort.h5"
|
| 33 |
+
INDEX_PATH = DATA_DIR / "index.jsonl"
|
| 34 |
+
INDEX_CSV_PATH = DATA_DIR / "index.csv"
|
| 35 |
+
MANIFEST_PATH = DATA_DIR / "manifest.json"
|
| 36 |
+
AGENTFEM_ROOT = Path("/Users/luo/Desktop/开发环境/fenicsx-code/agentfem")
|
| 37 |
+
|
| 38 |
+
TRAIN_FAMILIES = PATH_FAMILIES[:5]
|
| 39 |
+
PATH_OOD_FAMILIES = PATH_FAMILIES[6:]
|
| 40 |
+
DISCRETIZATION_POINTS = (61, 121, 481, 961)
|
| 41 |
+
|
| 42 |
+
|
| 43 |
+
def _base_row(
|
| 44 |
+
rng: np.random.Generator,
|
| 45 |
+
*,
|
| 46 |
+
index: int,
|
| 47 |
+
family: str,
|
| 48 |
+
split: str,
|
| 49 |
+
boundary_axis: str,
|
| 50 |
+
amplitude: float,
|
| 51 |
+
points: int = 241,
|
| 52 |
+
cycles: int = 1,
|
| 53 |
+
) -> dict[str, object]:
|
| 54 |
+
return {
|
| 55 |
+
**MATERIAL,
|
| 56 |
+
"case_id": f"denim-boundary-{index:05d}",
|
| 57 |
+
"material_model": "hidden_three_memory_tabulated_hardening",
|
| 58 |
+
"path_family": family,
|
| 59 |
+
"path_seed": int(20260926 + index * 7919),
|
| 60 |
+
"path_shape_a": float(rng.random()),
|
| 61 |
+
"path_shape_b": float(rng.random()),
|
| 62 |
+
"path_shape_c": float(rng.random()),
|
| 63 |
+
"yield_design_coordinate": float(rng.random()),
|
| 64 |
+
"maximum_equivalent_strain": float(amplitude),
|
| 65 |
+
"split": split,
|
| 66 |
+
"boundary_axis": boundary_axis,
|
| 67 |
+
"points": int(points),
|
| 68 |
+
"cycle_count": int(cycles),
|
| 69 |
+
}
|
| 70 |
+
|
| 71 |
+
|
| 72 |
+
def design(seed: int = 20260926) -> list[dict[str, object]]:
|
| 73 |
+
"""Return exactly 500 deterministic, non-duplicated trajectory designs."""
|
| 74 |
+
|
| 75 |
+
rng = np.random.default_rng(seed)
|
| 76 |
+
rows: list[dict[str, object]] = []
|
| 77 |
+
|
| 78 |
+
# 250 additional training trajectories: 50 for each original train family.
|
| 79 |
+
for family in TRAIN_FAMILIES:
|
| 80 |
+
for _ in range(50):
|
| 81 |
+
rows.append(
|
| 82 |
+
_base_row(
|
| 83 |
+
rng,
|
| 84 |
+
index=len(rows),
|
| 85 |
+
family=family,
|
| 86 |
+
split="train",
|
| 87 |
+
boundary_axis="core_extension",
|
| 88 |
+
amplitude=rng.uniform(0.003, 0.012),
|
| 89 |
+
)
|
| 90 |
+
)
|
| 91 |
+
|
| 92 |
+
# 50 validation trajectories retain the published rotating-path protocol.
|
| 93 |
+
for _ in range(50):
|
| 94 |
+
rows.append(
|
| 95 |
+
_base_row(
|
| 96 |
+
rng,
|
| 97 |
+
index=len(rows),
|
| 98 |
+
family="rotating_principal_cycle",
|
| 99 |
+
split="validation",
|
| 100 |
+
boundary_axis="core_extension",
|
| 101 |
+
amplitude=rng.uniform(0.003, 0.012),
|
| 102 |
+
)
|
| 103 |
+
)
|
| 104 |
+
|
| 105 |
+
# 80 path-OOD trajectories use the two families held out in the first study.
|
| 106 |
+
for family in PATH_OOD_FAMILIES:
|
| 107 |
+
for _ in range(40):
|
| 108 |
+
rows.append(
|
| 109 |
+
_base_row(
|
| 110 |
+
rng,
|
| 111 |
+
index=len(rows),
|
| 112 |
+
family=family,
|
| 113 |
+
split="test_path_ood",
|
| 114 |
+
boundary_axis="path",
|
| 115 |
+
amplitude=rng.uniform(0.003, 0.012),
|
| 116 |
+
)
|
| 117 |
+
)
|
| 118 |
+
|
| 119 |
+
# 60 amplitude-OOD trajectories: 30 below and 30 above the training range.
|
| 120 |
+
for local in range(60):
|
| 121 |
+
low = local < 30
|
| 122 |
+
amplitude = (
|
| 123 |
+
rng.uniform(0.0015, 0.0028)
|
| 124 |
+
if low
|
| 125 |
+
else rng.uniform(0.0125, 0.0200)
|
| 126 |
+
)
|
| 127 |
+
rows.append(
|
| 128 |
+
_base_row(
|
| 129 |
+
rng,
|
| 130 |
+
index=len(rows),
|
| 131 |
+
family=PATH_FAMILIES[local % len(PATH_FAMILIES)],
|
| 132 |
+
split="test_amplitude_ood",
|
| 133 |
+
boundary_axis="amplitude_low" if low else "amplitude_high",
|
| 134 |
+
amplitude=amplitude,
|
| 135 |
+
)
|
| 136 |
+
)
|
| 137 |
+
|
| 138 |
+
# 40 long-history tests repeat a complete zero-returning path 2--12 times
|
| 139 |
+
# while retaining 241 total samples. This deliberately stresses both
|
| 140 |
+
# memory horizon and per-cycle increment size.
|
| 141 |
+
cycle_options = (2, 4, 8, 12)
|
| 142 |
+
for local in range(40):
|
| 143 |
+
rows.append(
|
| 144 |
+
_base_row(
|
| 145 |
+
rng,
|
| 146 |
+
index=len(rows),
|
| 147 |
+
family=PATH_FAMILIES[local % len(PATH_FAMILIES)],
|
| 148 |
+
split="test_long_horizon",
|
| 149 |
+
boundary_axis="history_length",
|
| 150 |
+
amplitude=rng.uniform(0.003, 0.010),
|
| 151 |
+
cycles=cycle_options[local % len(cycle_options)],
|
| 152 |
+
)
|
| 153 |
+
)
|
| 154 |
+
|
| 155 |
+
# 20 trajectories form five matched paths at four integration resolutions.
|
| 156 |
+
resolution_families = (
|
| 157 |
+
"sequential_axial_shear",
|
| 158 |
+
"orthogonal_cross",
|
| 159 |
+
"nonproportional_square",
|
| 160 |
+
"out_of_phase_lissajous",
|
| 161 |
+
"random_direction_blocks",
|
| 162 |
+
)
|
| 163 |
+
for base_index, family in enumerate(resolution_families):
|
| 164 |
+
shared = {
|
| 165 |
+
"amplitude": float(rng.uniform(0.004, 0.011)),
|
| 166 |
+
"shape": rng.random(3),
|
| 167 |
+
"seed": int(99173 + base_index * 104729),
|
| 168 |
+
}
|
| 169 |
+
for points in DISCRETIZATION_POINTS:
|
| 170 |
+
row = _base_row(
|
| 171 |
+
rng,
|
| 172 |
+
index=len(rows),
|
| 173 |
+
family=family,
|
| 174 |
+
split="test_discretization",
|
| 175 |
+
boundary_axis="integration_resolution",
|
| 176 |
+
amplitude=shared["amplitude"],
|
| 177 |
+
points=points,
|
| 178 |
+
)
|
| 179 |
+
row["matched_path_id"] = f"resolution-{base_index:02d}"
|
| 180 |
+
row["path_shape_a"], row["path_shape_b"], row["path_shape_c"] = (
|
| 181 |
+
float(value) for value in shared["shape"]
|
| 182 |
+
)
|
| 183 |
+
row["path_seed"] = shared["seed"]
|
| 184 |
+
rows.append(row)
|
| 185 |
+
|
| 186 |
+
if len(rows) != 500:
|
| 187 |
+
raise RuntimeError(f"Boundary design must contain 500 rows, got {len(rows)}.")
|
| 188 |
+
return rows
|
| 189 |
+
|
| 190 |
+
|
| 191 |
+
def _history(row: dict[str, object]) -> tuple[np.ndarray, np.ndarray]:
|
| 192 |
+
points = int(row["points"])
|
| 193 |
+
cycles = int(row["cycle_count"])
|
| 194 |
+
if cycles == 1:
|
| 195 |
+
return strain_history(row, points=points)
|
| 196 |
+
segments = points - 1
|
| 197 |
+
if segments % cycles:
|
| 198 |
+
raise ValueError("points - 1 must be divisible by cycle_count")
|
| 199 |
+
per_cycle = segments // cycles + 1
|
| 200 |
+
coordinate, strain = strain_history(row, points=per_cycle)
|
| 201 |
+
coordinates = [coordinate]
|
| 202 |
+
strains = [strain]
|
| 203 |
+
for _ in range(1, cycles):
|
| 204 |
+
coordinates.append(coordinate[1:])
|
| 205 |
+
strains.append(strain[1:])
|
| 206 |
+
return np.concatenate(coordinates), np.concatenate(strains)
|
| 207 |
+
|
| 208 |
+
|
| 209 |
+
def solve(row: dict[str, object]) -> dict[str, np.ndarray]:
|
| 210 |
+
law = material()
|
| 211 |
+
coordinates, strains = _history(row)
|
| 212 |
+
count = len(strains)
|
| 213 |
+
stress = np.empty_like(strains)
|
| 214 |
+
plastic = np.empty_like(strains)
|
| 215 |
+
peeq = np.empty(count)
|
| 216 |
+
increment = np.empty(count)
|
| 217 |
+
truth_memories = np.empty((count, 3, 3, 3))
|
| 218 |
+
latent_memories = np.empty((count, 2, 3, 3))
|
| 219 |
+
radius = np.empty(count)
|
| 220 |
+
state = None
|
| 221 |
+
for point, strain in enumerate(strains):
|
| 222 |
+
update = law.update(strain, state, linearization="none")
|
| 223 |
+
state = update.state
|
| 224 |
+
stress[point] = update.stress
|
| 225 |
+
plastic[point] = state.plastic_strain
|
| 226 |
+
peeq[point] = state.equivalent_plastic_strain
|
| 227 |
+
increment[point] = update.plastic_multiplier_increment
|
| 228 |
+
truth_memories[point] = state.backstresses
|
| 229 |
+
latent_memories[point, 0] = state.backstresses[0]
|
| 230 |
+
latent_memories[point, 1] = state.backstresses[1] + state.backstresses[2]
|
| 231 |
+
radius[point] = law.current_yield_stress(peeq[point]) - law.yield_stress
|
| 232 |
+
return {
|
| 233 |
+
"strain": tensor_to_voigt(strains),
|
| 234 |
+
"stress_pa": tensor_to_voigt(stress),
|
| 235 |
+
"plastic_strain": tensor_to_voigt(plastic),
|
| 236 |
+
"peeq": peeq,
|
| 237 |
+
"plastic_increment": increment,
|
| 238 |
+
"memories_pa": tensor_to_voigt(latent_memories),
|
| 239 |
+
"truth_memories_pa": tensor_to_voigt(truth_memories),
|
| 240 |
+
"isotropic_radius_pa": radius,
|
| 241 |
+
"path_coordinates": coordinates,
|
| 242 |
+
}
|
| 243 |
+
|
| 244 |
+
|
| 245 |
+
def _von_mises(value: np.ndarray) -> np.ndarray:
|
| 246 |
+
deviatoric = value.copy()
|
| 247 |
+
mean = deviatoric[..., :3].mean(axis=-1, keepdims=True)
|
| 248 |
+
deviatoric[..., :3] -= mean
|
| 249 |
+
square = (
|
| 250 |
+
np.square(deviatoric[..., :3]).sum(axis=-1)
|
| 251 |
+
+ 2.0 * np.square(deviatoric[..., 3:]).sum(axis=-1)
|
| 252 |
+
)
|
| 253 |
+
return np.sqrt(np.maximum(1.5 * square, 0.0))
|
| 254 |
+
|
| 255 |
+
|
| 256 |
+
def quality(arrays: dict[str, np.ndarray]) -> dict[str, float | bool]:
|
| 257 |
+
active = arrays["plastic_increment"] > 1.0e-12
|
| 258 |
+
shifted = arrays["stress_pa"] - arrays["truth_memories_pa"].sum(axis=1)
|
| 259 |
+
radius = float(MATERIAL["yield_stress_pa"]) + arrays["isotropic_radius_pa"]
|
| 260 |
+
residual = np.abs(_von_mises(shifted) - radius) / float(MATERIAL["yield_stress_pa"])
|
| 261 |
+
return {
|
| 262 |
+
"all_finite": bool(all(np.isfinite(value).all() for value in arrays.values())),
|
| 263 |
+
"minimum_peeq_increment": float(np.diff(arrays["peeq"]).min(initial=0.0)),
|
| 264 |
+
"maximum_plastic_strain_trace": float(
|
| 265 |
+
np.abs(arrays["plastic_strain"][..., :3].sum(axis=-1)).max()
|
| 266 |
+
),
|
| 267 |
+
"maximum_yield_surface_relative_residual": float(
|
| 268 |
+
residual[active].max(initial=0.0)
|
| 269 |
+
),
|
| 270 |
+
"maximum_absolute_stress_pa": float(np.abs(arrays["stress_pa"]).max()),
|
| 271 |
+
"maximum_peeq": float(arrays["peeq"].max()),
|
| 272 |
+
}
|
| 273 |
+
|
| 274 |
+
|
| 275 |
+
def _sha256(path: Path) -> str:
|
| 276 |
+
digest = hashlib.sha256()
|
| 277 |
+
with path.open("rb") as handle:
|
| 278 |
+
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
|
| 279 |
+
digest.update(chunk)
|
| 280 |
+
return digest.hexdigest()
|
| 281 |
+
|
| 282 |
+
|
| 283 |
+
def _agentfem_commit() -> str:
|
| 284 |
+
return subprocess.run(
|
| 285 |
+
("git", "rev-parse", "HEAD"),
|
| 286 |
+
cwd=AGENTFEM_ROOT,
|
| 287 |
+
check=True,
|
| 288 |
+
capture_output=True,
|
| 289 |
+
text=True,
|
| 290 |
+
).stdout.strip()
|
| 291 |
+
|
| 292 |
+
|
| 293 |
+
def generate(*, force: bool = False) -> dict[str, object]:
|
| 294 |
+
rows = design()
|
| 295 |
+
DATA_DIR.mkdir(parents=True, exist_ok=True)
|
| 296 |
+
if DATA_PATH.exists() and not force:
|
| 297 |
+
raise FileExistsError(f"{DATA_PATH} exists; pass --force to replace it")
|
| 298 |
+
temporary = DATA_PATH.with_suffix(".h5.tmp")
|
| 299 |
+
records: list[dict[str, object]] = []
|
| 300 |
+
started = time.perf_counter()
|
| 301 |
+
with h5py.File(temporary, "w") as h5:
|
| 302 |
+
h5.attrs["schema"] = "agentfem.physics-data.denim-boundary"
|
| 303 |
+
h5.attrs["schema_version"] = "1.0.0"
|
| 304 |
+
h5.attrs["material_json"] = json.dumps(MATERIAL, sort_keys=True)
|
| 305 |
+
for index, row in enumerate(rows):
|
| 306 |
+
arrays = solve(row)
|
| 307 |
+
metrics = quality(arrays)
|
| 308 |
+
if not metrics["all_finite"]:
|
| 309 |
+
raise RuntimeError(f"Non-finite trajectory at index {index}")
|
| 310 |
+
group = h5.create_group(f"{index:05d}")
|
| 311 |
+
for key in ("case_id", "path_family", "split", "boundary_axis"):
|
| 312 |
+
group.attrs[key] = str(row[key])
|
| 313 |
+
group.attrs["points"] = int(row["points"])
|
| 314 |
+
group.attrs["cycle_count"] = int(row["cycle_count"])
|
| 315 |
+
group.attrs["parameters_json"] = json.dumps(row, sort_keys=True)
|
| 316 |
+
group.attrs["quality_json"] = json.dumps(metrics, sort_keys=True)
|
| 317 |
+
for name, value in arrays.items():
|
| 318 |
+
group.create_dataset(name, data=value, compression="gzip", shuffle=True)
|
| 319 |
+
records.append({
|
| 320 |
+
"sample_id": f"{index:05d}",
|
| 321 |
+
"case_id": row["case_id"],
|
| 322 |
+
"split": row["split"],
|
| 323 |
+
"boundary_axis": row["boundary_axis"],
|
| 324 |
+
"path_family": row["path_family"],
|
| 325 |
+
"points": row["points"],
|
| 326 |
+
"cycle_count": row["cycle_count"],
|
| 327 |
+
"maximum_equivalent_strain": row["maximum_equivalent_strain"],
|
| 328 |
+
**metrics,
|
| 329 |
+
})
|
| 330 |
+
temporary.replace(DATA_PATH)
|
| 331 |
+
INDEX_PATH.write_text(
|
| 332 |
+
"".join(json.dumps(record, sort_keys=True) + "\n" for record in records),
|
| 333 |
+
encoding="utf-8",
|
| 334 |
+
)
|
| 335 |
+
with INDEX_CSV_PATH.open("w", newline="", encoding="utf-8") as handle:
|
| 336 |
+
writer = csv.DictWriter(handle, fieldnames=list(records[0]))
|
| 337 |
+
writer.writeheader()
|
| 338 |
+
writer.writerows(records)
|
| 339 |
+
split_counts = Counter(str(row["split"]) for row in rows)
|
| 340 |
+
boundary_counts = Counter(str(row["boundary_axis"]) for row in rows)
|
| 341 |
+
manifest: dict[str, object] = {
|
| 342 |
+
"schema": "agentfem.physics-data.denim-boundary",
|
| 343 |
+
"schema_version": "1.0.0",
|
| 344 |
+
"sample_count": len(rows),
|
| 345 |
+
"split_counts": dict(sorted(split_counts.items())),
|
| 346 |
+
"boundary_counts": dict(sorted(boundary_counts.items())),
|
| 347 |
+
"path_family_counts": dict(sorted(Counter(str(row["path_family"]) for row in rows).items())),
|
| 348 |
+
"point_counts": dict(sorted(Counter(str(row["points"]) for row in rows).items())),
|
| 349 |
+
"agentfem_commit": _agentfem_commit(),
|
| 350 |
+
"agentfem_version": "0.3.7.dev0",
|
| 351 |
+
"reference_material": "three-memory Chaboche with tabulated isotropic hardening",
|
| 352 |
+
"known_to_model": ["young_pa", "poisson", "yield_stress_pa", "J2_geometry"],
|
| 353 |
+
"hidden_from_model": [
|
| 354 |
+
"three_reference_memory_channels",
|
| 355 |
+
"reference_recovery_parameters",
|
| 356 |
+
"tabulated_isotropic_hardening",
|
| 357 |
+
],
|
| 358 |
+
"quality": {
|
| 359 |
+
"all_finite_failures": sum(not bool(row["all_finite"]) for row in records),
|
| 360 |
+
"maximum_yield_surface_relative_residual": max(float(row["maximum_yield_surface_relative_residual"]) for row in records),
|
| 361 |
+
"maximum_plastic_strain_trace": max(float(row["maximum_plastic_strain_trace"]) for row in records),
|
| 362 |
+
"minimum_peeq_increment": min(float(row["minimum_peeq_increment"]) for row in records),
|
| 363 |
+
},
|
| 364 |
+
"elapsed_seconds": time.perf_counter() - started,
|
| 365 |
+
"bytes": DATA_PATH.stat().st_size,
|
| 366 |
+
"sha256": _sha256(DATA_PATH),
|
| 367 |
+
"index_files": {
|
| 368 |
+
"jsonl_bytes": INDEX_PATH.stat().st_size,
|
| 369 |
+
"jsonl_sha256": _sha256(INDEX_PATH),
|
| 370 |
+
"csv_bytes": INDEX_CSV_PATH.stat().st_size,
|
| 371 |
+
"csv_sha256": _sha256(INDEX_CSV_PATH),
|
| 372 |
+
},
|
| 373 |
+
}
|
| 374 |
+
MANIFEST_PATH.write_text(json.dumps(manifest, indent=2) + "\n", encoding="utf-8")
|
| 375 |
+
print(json.dumps(manifest, indent=2))
|
| 376 |
+
return manifest
|
| 377 |
+
|
| 378 |
+
|
| 379 |
+
if __name__ == "__main__":
|
| 380 |
+
import argparse
|
| 381 |
+
|
| 382 |
+
parser = argparse.ArgumentParser()
|
| 383 |
+
parser.add_argument("--force", action="store_true")
|
| 384 |
+
arguments = parser.parse_args()
|
| 385 |
+
generate(force=arguments.force)
|
src/train_t2_denim_boundary_v1.py
ADDED
|
@@ -0,0 +1,305 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
"""Train and evaluate DENIM after the 500-trajectory boundary extension."""
|
| 2 |
+
|
| 3 |
+
from __future__ import annotations
|
| 4 |
+
|
| 5 |
+
import json
|
| 6 |
+
import random
|
| 7 |
+
import time
|
| 8 |
+
from collections import defaultdict
|
| 9 |
+
from pathlib import Path
|
| 10 |
+
|
| 11 |
+
import h5py
|
| 12 |
+
import matplotlib
|
| 13 |
+
|
| 14 |
+
matplotlib.use("Agg")
|
| 15 |
+
import matplotlib.pyplot as plt
|
| 16 |
+
import numpy as np
|
| 17 |
+
import torch
|
| 18 |
+
|
| 19 |
+
from src import t2_graybox_discrete_energy as denim
|
| 20 |
+
from src.generate_t2_denim_boundary_v1 import DATA_PATH as BOUNDARY_DATA_PATH
|
| 21 |
+
from src.generate_t2_graybox_closure import DATA_PATH as ORIGINAL_DATA_PATH, MATERIAL
|
| 22 |
+
from src.train_t2_graybox_discrete_energy import (
|
| 23 |
+
Cohort,
|
| 24 |
+
mask,
|
| 25 |
+
no_hardening_response,
|
| 26 |
+
stress_metrics,
|
| 27 |
+
train_graybox,
|
| 28 |
+
train_gru,
|
| 29 |
+
)
|
| 30 |
+
|
| 31 |
+
|
| 32 |
+
ROOT = Path(__file__).resolve().parents[1]
|
| 33 |
+
MODEL_DIR = ROOT / "models" / "t2_denim_boundary_v1"
|
| 34 |
+
ARTIFACT_DIR = ROOT / "artifacts" / "t2_denim_boundary_v1"
|
| 35 |
+
METRICS_PATH = ARTIFACT_DIR / "model_metrics.json"
|
| 36 |
+
ORIGINAL_MODEL_PATH = ROOT / "models" / "t2_graybox_closure_v1" / "denrm.pt"
|
| 37 |
+
|
| 38 |
+
FIELDS = (
|
| 39 |
+
"strain",
|
| 40 |
+
"stress_pa",
|
| 41 |
+
"plastic_strain",
|
| 42 |
+
"peeq",
|
| 43 |
+
"plastic_increment",
|
| 44 |
+
"memories_pa",
|
| 45 |
+
"isotropic_radius_pa",
|
| 46 |
+
)
|
| 47 |
+
|
| 48 |
+
|
| 49 |
+
def load_combined() -> tuple[Cohort, tuple[str, ...], tuple[str, ...]]:
|
| 50 |
+
arrays: dict[str, list[np.ndarray]] = {field: [] for field in FIELDS}
|
| 51 |
+
splits: list[str] = []
|
| 52 |
+
families: list[str] = []
|
| 53 |
+
boundaries: list[str] = []
|
| 54 |
+
sources: list[str] = []
|
| 55 |
+
|
| 56 |
+
with h5py.File(ORIGINAL_DATA_PATH, "r") as h5:
|
| 57 |
+
for name in sorted(h5):
|
| 58 |
+
group = h5[name]
|
| 59 |
+
for field in FIELDS:
|
| 60 |
+
arrays[field].append(group[field][...])
|
| 61 |
+
split = str(group.attrs["split"])
|
| 62 |
+
splits.append("legacy_test" if split == "test" else split)
|
| 63 |
+
families.append(str(group.attrs["path_family"]))
|
| 64 |
+
boundaries.append("published_core")
|
| 65 |
+
sources.append("denim_closure_v1")
|
| 66 |
+
|
| 67 |
+
with h5py.File(BOUNDARY_DATA_PATH, "r") as h5:
|
| 68 |
+
for name in sorted(h5):
|
| 69 |
+
group = h5[name]
|
| 70 |
+
if int(group.attrs["points"]) != 241:
|
| 71 |
+
continue
|
| 72 |
+
for field in FIELDS:
|
| 73 |
+
arrays[field].append(group[field][...])
|
| 74 |
+
splits.append(str(group.attrs["split"]))
|
| 75 |
+
families.append(str(group.attrs["path_family"]))
|
| 76 |
+
boundaries.append(str(group.attrs["boundary_axis"]))
|
| 77 |
+
sources.append("denim_boundary_v1")
|
| 78 |
+
|
| 79 |
+
tensor = lambda field: torch.tensor(np.stack(arrays[field]), dtype=torch.float32)
|
| 80 |
+
return (
|
| 81 |
+
Cohort(
|
| 82 |
+
strain=tensor("strain"),
|
| 83 |
+
stress=tensor("stress_pa"),
|
| 84 |
+
plastic=tensor("plastic_strain"),
|
| 85 |
+
peeq=tensor("peeq"),
|
| 86 |
+
increment=tensor("plastic_increment"),
|
| 87 |
+
memories=tensor("memories_pa"),
|
| 88 |
+
radius=tensor("isotropic_radius_pa"),
|
| 89 |
+
splits=tuple(splits),
|
| 90 |
+
families=tuple(families),
|
| 91 |
+
),
|
| 92 |
+
tuple(boundaries),
|
| 93 |
+
tuple(sources),
|
| 94 |
+
)
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
def _rollout(model: denim.NeuralHardeningLaw, strain: torch.Tensor) -> tuple[dict[str, torch.Tensor], float]:
|
| 98 |
+
count = len(strain)
|
| 99 |
+
started = time.perf_counter()
|
| 100 |
+
with torch.no_grad():
|
| 101 |
+
result = denim.rollout(
|
| 102 |
+
strain,
|
| 103 |
+
torch.full((count,), float(MATERIAL["young_pa"])),
|
| 104 |
+
torch.full((count,), float(MATERIAL["poisson"])),
|
| 105 |
+
torch.full((count,), float(MATERIAL["yield_stress_pa"])),
|
| 106 |
+
model,
|
| 107 |
+
bisection_iterations=24,
|
| 108 |
+
)
|
| 109 |
+
return result, time.perf_counter() - started
|
| 110 |
+
|
| 111 |
+
|
| 112 |
+
def _load_frozen() -> denim.NeuralHardeningLaw:
|
| 113 |
+
checkpoint = torch.load(ORIGINAL_MODEL_PATH, map_location="cpu", weights_only=False)
|
| 114 |
+
model = denim.NeuralHardeningLaw(channels=2)
|
| 115 |
+
model.load_state_dict(checkpoint["state_dict"])
|
| 116 |
+
model.eval()
|
| 117 |
+
return model
|
| 118 |
+
|
| 119 |
+
|
| 120 |
+
def _metric_by_labels(
|
| 121 |
+
prediction: torch.Tensor,
|
| 122 |
+
reference: torch.Tensor,
|
| 123 |
+
labels: tuple[str, ...],
|
| 124 |
+
) -> dict[str, dict[str, float | int]]:
|
| 125 |
+
result: dict[str, dict[str, float | int]] = {}
|
| 126 |
+
for label in sorted(set(labels)):
|
| 127 |
+
selected = torch.tensor([value == label for value in labels], dtype=torch.bool)
|
| 128 |
+
result[label] = stress_metrics(prediction, reference, selected)
|
| 129 |
+
return result
|
| 130 |
+
|
| 131 |
+
|
| 132 |
+
def evaluate_discretization(
|
| 133 |
+
models: dict[str, denim.NeuralHardeningLaw],
|
| 134 |
+
) -> dict[str, object]:
|
| 135 |
+
grouped: dict[int, list[tuple[np.ndarray, np.ndarray]]] = defaultdict(list)
|
| 136 |
+
with h5py.File(BOUNDARY_DATA_PATH, "r") as h5:
|
| 137 |
+
for name in sorted(h5):
|
| 138 |
+
group = h5[name]
|
| 139 |
+
if str(group.attrs["split"]) != "test_discretization":
|
| 140 |
+
continue
|
| 141 |
+
grouped[int(group.attrs["points"])].append(
|
| 142 |
+
(group["strain"][...], group["stress_pa"][...])
|
| 143 |
+
)
|
| 144 |
+
result: dict[str, object] = {}
|
| 145 |
+
for points, values in sorted(grouped.items()):
|
| 146 |
+
strain = torch.tensor(np.stack([item[0] for item in values]), dtype=torch.float32)
|
| 147 |
+
reference = torch.tensor(np.stack([item[1] for item in values]), dtype=torch.float32)
|
| 148 |
+
point_result: dict[str, object] = {"trajectory_count": len(values)}
|
| 149 |
+
for name, model in models.items():
|
| 150 |
+
prediction, seconds = _rollout(model, strain)
|
| 151 |
+
error = prediction["stress"] - reference
|
| 152 |
+
point_result[name] = {
|
| 153 |
+
"rmse_mpa": float(torch.sqrt(error.square().mean()) / 1.0e6),
|
| 154 |
+
"mae_mpa": float(error.abs().mean() / 1.0e6),
|
| 155 |
+
"inference_seconds": seconds,
|
| 156 |
+
"maximum_yield_residual_pa": float(
|
| 157 |
+
prediction["yield_residual"].abs().max()
|
| 158 |
+
),
|
| 159 |
+
}
|
| 160 |
+
result[str(points)] = point_result
|
| 161 |
+
return result
|
| 162 |
+
|
| 163 |
+
|
| 164 |
+
def _plot(metrics: dict[str, object]) -> None:
|
| 165 |
+
selected_splits = (
|
| 166 |
+
"legacy_test",
|
| 167 |
+
"test_path_ood",
|
| 168 |
+
"test_amplitude_ood",
|
| 169 |
+
"test_long_horizon",
|
| 170 |
+
)
|
| 171 |
+
models = ("incomplete_j2", "gru_expanded", "denim_frozen", "denim_expanded")
|
| 172 |
+
labels = ("Incomplete J2", "GRU", "DENIM v1", "DENIM expanded")
|
| 173 |
+
colors = ("#d28a4b", "#6e8fe8", "#8d9aa6", "#58c7ba")
|
| 174 |
+
values = np.asarray(
|
| 175 |
+
[
|
| 176 |
+
[metrics["models"][model][split]["rmse_mpa"] for split in selected_splits]
|
| 177 |
+
for model in models
|
| 178 |
+
]
|
| 179 |
+
)
|
| 180 |
+
x = np.arange(len(selected_splits))
|
| 181 |
+
width = 0.19
|
| 182 |
+
figure, axis = plt.subplots(figsize=(11.5, 5.8), constrained_layout=True)
|
| 183 |
+
for index, (label, color) in enumerate(zip(labels, colors, strict=True)):
|
| 184 |
+
axis.bar(x + (index - 1.5) * width, values[index], width, label=label, color=color)
|
| 185 |
+
axis.set_yscale("log")
|
| 186 |
+
axis.set_ylabel("Stress RMSE (MPa, log scale)")
|
| 187 |
+
axis.set_xticks(x, ("Published test", "Path OOD", "Amplitude OOD", "Long horizon"))
|
| 188 |
+
axis.grid(axis="y", alpha=0.22)
|
| 189 |
+
axis.legend(ncol=4, frameon=False, loc="upper center")
|
| 190 |
+
axis.set_title("DENIM boundary extension: frozen and expanded evidence")
|
| 191 |
+
figure.savefig(ARTIFACT_DIR / "boundary_model_comparison.png", dpi=180)
|
| 192 |
+
plt.close(figure)
|
| 193 |
+
|
| 194 |
+
|
| 195 |
+
def run(*, steps: int = 2000, gru_epochs: int = 60) -> dict[str, object]:
|
| 196 |
+
random.seed(20260926)
|
| 197 |
+
np.random.seed(20260926)
|
| 198 |
+
torch.manual_seed(20260926)
|
| 199 |
+
cohort, boundaries, sources = load_combined()
|
| 200 |
+
expanded, denim_training = train_graybox(cohort, steps=steps, material=MATERIAL)
|
| 201 |
+
gru, gru_training, normalization = train_gru(cohort, epochs=gru_epochs)
|
| 202 |
+
frozen = _load_frozen()
|
| 203 |
+
|
| 204 |
+
expanded_result, expanded_seconds = _rollout(expanded, cohort.strain)
|
| 205 |
+
frozen_result, frozen_seconds = _rollout(frozen, cohort.strain)
|
| 206 |
+
with torch.no_grad():
|
| 207 |
+
started = time.perf_counter()
|
| 208 |
+
gru_prediction = (
|
| 209 |
+
gru((cohort.strain - normalization["strain_mean"]) / normalization["strain_std"])
|
| 210 |
+
* normalization["stress_std"]
|
| 211 |
+
+ normalization["stress_mean"]
|
| 212 |
+
)
|
| 213 |
+
gru_seconds = time.perf_counter() - started
|
| 214 |
+
started = time.perf_counter()
|
| 215 |
+
incomplete_prediction = no_hardening_response(cohort, MATERIAL)
|
| 216 |
+
incomplete_seconds = time.perf_counter() - started
|
| 217 |
+
|
| 218 |
+
predictions = {
|
| 219 |
+
"incomplete_j2": (incomplete_prediction, incomplete_seconds),
|
| 220 |
+
"gru_expanded": (gru_prediction, gru_seconds),
|
| 221 |
+
"denim_frozen": (frozen_result["stress"], frozen_seconds),
|
| 222 |
+
"denim_expanded": (expanded_result["stress"], expanded_seconds),
|
| 223 |
+
}
|
| 224 |
+
split_names = sorted(set(cohort.splits))
|
| 225 |
+
model_metrics: dict[str, object] = {}
|
| 226 |
+
for name, (prediction, seconds) in predictions.items():
|
| 227 |
+
model_metrics[name] = {
|
| 228 |
+
split: stress_metrics(prediction, cohort.stress, mask(cohort, split))
|
| 229 |
+
for split in split_names
|
| 230 |
+
}
|
| 231 |
+
model_metrics[name]["inference_seconds_608_trajectories"] = seconds
|
| 232 |
+
model_metrics[name]["by_boundary_axis"] = _metric_by_labels(
|
| 233 |
+
prediction, cohort.stress, boundaries
|
| 234 |
+
)
|
| 235 |
+
|
| 236 |
+
active = expanded_result["plastic_increment"] > 1.0e-11
|
| 237 |
+
ledger = denim.discrete_energy_ledger(
|
| 238 |
+
expanded_result,
|
| 239 |
+
torch.full((len(cohort.strain),), float(MATERIAL["yield_stress_pa"])),
|
| 240 |
+
expanded,
|
| 241 |
+
)
|
| 242 |
+
scale = ledger["plastic_work"][active].abs().max().clamp_min(1.0)
|
| 243 |
+
model_metrics["denim_expanded"]["physics"] = {
|
| 244 |
+
"maximum_yield_residual_pa": float(expanded_result["yield_residual"][active].abs().max()),
|
| 245 |
+
"maximum_plastic_trace": float(expanded_result["plastic_strain"][..., :3].sum(dim=-1).abs().max()),
|
| 246 |
+
"minimum_peeq_increment": float(torch.diff(expanded_result["peeq"], dim=1).min()),
|
| 247 |
+
"minimum_dynamic_recovery_dissipation": float(ledger["dynamic_recovery_dissipation"][active].min()),
|
| 248 |
+
"maximum_energy_balance_relative_residual": float(
|
| 249 |
+
(ledger["balance_residual"][active].abs().max() / scale).detach()
|
| 250 |
+
),
|
| 251 |
+
}
|
| 252 |
+
|
| 253 |
+
metrics: dict[str, object] = {
|
| 254 |
+
"scope": "fixed hidden three-memory material; 128 published plus 500 boundary trajectories",
|
| 255 |
+
"trajectory_accounting": {
|
| 256 |
+
"published_denim": 128,
|
| 257 |
+
"new_boundary": 500,
|
| 258 |
+
"fixed_length_combined_for_training_and_evaluation": len(cohort.strain),
|
| 259 |
+
"variable_resolution_evaluation": 20,
|
| 260 |
+
"training": int(mask(cohort, "train").sum()),
|
| 261 |
+
"validation": int(mask(cohort, "validation").sum()),
|
| 262 |
+
},
|
| 263 |
+
"training": {"denim_expanded": denim_training, "gru_expanded": gru_training},
|
| 264 |
+
"models": model_metrics,
|
| 265 |
+
"discretization": evaluate_discretization(
|
| 266 |
+
{"denim_frozen": frozen, "denim_expanded": expanded}
|
| 267 |
+
),
|
| 268 |
+
"source_counts": dict(sorted({value: sources.count(value) for value in set(sources)}.items())),
|
| 269 |
+
}
|
| 270 |
+
|
| 271 |
+
MODEL_DIR.mkdir(parents=True, exist_ok=True)
|
| 272 |
+
ARTIFACT_DIR.mkdir(parents=True, exist_ok=True)
|
| 273 |
+
torch.save(
|
| 274 |
+
{
|
| 275 |
+
"state_dict": expanded.state_dict(),
|
| 276 |
+
"material_known": {key: MATERIAL[key] for key in ("young_pa", "poisson", "yield_stress_pa")},
|
| 277 |
+
"training_data": "128 published DENIM trajectories plus 300 new core train/validation trajectories",
|
| 278 |
+
},
|
| 279 |
+
MODEL_DIR / "denim_expanded.pt",
|
| 280 |
+
)
|
| 281 |
+
torch.save(
|
| 282 |
+
{"state_dict": gru.state_dict(), "normalization": normalization},
|
| 283 |
+
MODEL_DIR / "gru_expanded.pt",
|
| 284 |
+
)
|
| 285 |
+
METRICS_PATH.write_text(json.dumps(metrics, indent=2) + "\n", encoding="utf-8")
|
| 286 |
+
_plot(metrics)
|
| 287 |
+
summary = {
|
| 288 |
+
name: {
|
| 289 |
+
split: model_metrics[name][split]["rmse_mpa"]
|
| 290 |
+
for split in ("legacy_test", "test_path_ood", "test_amplitude_ood", "test_long_horizon")
|
| 291 |
+
}
|
| 292 |
+
for name in model_metrics
|
| 293 |
+
}
|
| 294 |
+
print(json.dumps(summary, indent=2))
|
| 295 |
+
return metrics
|
| 296 |
+
|
| 297 |
+
|
| 298 |
+
if __name__ == "__main__":
|
| 299 |
+
import argparse
|
| 300 |
+
|
| 301 |
+
parser = argparse.ArgumentParser()
|
| 302 |
+
parser.add_argument("--steps", type=int, default=2000)
|
| 303 |
+
parser.add_argument("--gru-epochs", type=int, default=60)
|
| 304 |
+
arguments = parser.parse_args()
|
| 305 |
+
run(steps=arguments.steps, gru_epochs=arguments.gru_epochs)
|
tests/test_t2_denim_boundary_v1.py
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from collections import Counter
|
| 2 |
+
|
| 3 |
+
import h5py
|
| 4 |
+
import numpy as np
|
| 5 |
+
|
| 6 |
+
from src.generate_t2_denim_boundary_v1 import DATA_PATH, design
|
| 7 |
+
from src.train_t2_denim_boundary_v1 import load_combined
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
def test_boundary_design_has_exact_frozen_accounting():
|
| 11 |
+
rows = design()
|
| 12 |
+
assert len(rows) == 500
|
| 13 |
+
assert len({row["case_id"] for row in rows}) == 500
|
| 14 |
+
assert Counter(row["split"] for row in rows) == {
|
| 15 |
+
"train": 250,
|
| 16 |
+
"validation": 50,
|
| 17 |
+
"test_path_ood": 80,
|
| 18 |
+
"test_amplitude_ood": 60,
|
| 19 |
+
"test_long_horizon": 40,
|
| 20 |
+
"test_discretization": 20,
|
| 21 |
+
}
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
def test_generated_boundary_data_are_complete_and_finite():
|
| 25 |
+
with h5py.File(DATA_PATH, "r") as h5:
|
| 26 |
+
assert len(h5) == 500
|
| 27 |
+
for name in h5:
|
| 28 |
+
group = h5[name]
|
| 29 |
+
points = int(group.attrs["points"])
|
| 30 |
+
assert group["strain"].shape == (points, 6)
|
| 31 |
+
assert group["stress_pa"].shape == (points, 6)
|
| 32 |
+
assert group["memories_pa"].shape == (points, 2, 6)
|
| 33 |
+
assert group["truth_memories_pa"].shape == (points, 3, 6)
|
| 34 |
+
assert all(np.isfinite(group[field][...]).all() for field in group)
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
def test_combined_fixed_length_cohort_uses_published_and_new_data():
|
| 38 |
+
cohort, boundaries, sources = load_combined()
|
| 39 |
+
assert len(cohort.strain) == 608
|
| 40 |
+
assert cohort.strain.shape[1:] == (241, 6)
|
| 41 |
+
assert Counter(cohort.splits)["train"] == 330
|
| 42 |
+
assert Counter(cohort.splits)["validation"] == 66
|
| 43 |
+
assert Counter(cohort.splits)["legacy_test"] == 32
|
| 44 |
+
assert Counter(sources) == {
|
| 45 |
+
"denim_closure_v1": 128,
|
| 46 |
+
"denim_boundary_v1": 480,
|
| 47 |
+
}
|
| 48 |
+
assert len(boundaries) == 608
|