Datasets:
Formats:
csv
Size:
1K - 10K
ArXiv:
Tags:
electronic-design-automation
chip-placement
physical-design
ppa-prediction
timing-analysis
graph-neural-networks
License:
Upload 42 files
Browse files- README.md +75 -1
- READY_TO_UPLOAD.json +9 -0
- SHA256SUMS +41 -0
- THIRD_PARTY_NOTICES.md +45 -0
- data/bp_be12.tar.zst +3 -0
- data/bp_be12.verified.json +12 -0
- data/bp_fe.tar.zst +3 -0
- data/bp_fe.verified.json +12 -0
- data/bp_multi.tar.zst +3 -0
- data/bp_multi.verified.json +12 -0
- data/dft68.tar.zst +3 -0
- data/dft68.verified.json +12 -0
- data/ethernet.tar.zst +3 -0
- data/ethernet.verified.json +12 -0
- data/isa_npu.tar.zst +3 -0
- data/isa_npu.verified.json +12 -0
- data/mor1kx.tar.zst +3 -0
- data/mor1kx.verified.json +12 -0
- data/or1200.tar.zst +3 -0
- data/or1200.verified.json +12 -0
- data/swerv_wrapper43.tar.zst +3 -0
- data/swerv_wrapper43.verified.json +12 -0
- data/vga_lcd.tar.zst +3 -0
- data/vga_lcd.verified.json +12 -0
- metadata/certificate.json +145 -0
- metadata/chipbench_commit.txt +1 -0
- metadata/dreamplace_commit.txt +1 -0
- metadata/exact5000_common_frontier_manifest.json +134 -0
- metadata/exact5000_common_frontier_summary.json +382 -0
- metadata/exact5000_independent_audit.json +146 -0
- metadata/exact5000_second_replay.json +146 -0
- metadata/ppaplace_commit.txt +1 -0
- metadata/snapshot_artifacts.json +0 -0
- metadata/snapshot_manifest.json +0 -0
- metadata/tensor_audit.json +0 -0
- metadata/toolchain_and_hardware.txt +48 -0
- metadata/workflow_sha256.txt +81 -0
- metadata/workflow_sources.tar.gz +3 -0
- metadata/working_tree.patch +0 -0
- release_manifest.json +146 -0
- samples.csv +0 -0
- samples.jsonl +0 -0
README.md
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---
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pretty_name: PPAPlace Exact-5000 Training Dataset
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license: other
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size_categories:
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- 1K<n<10K
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tags:
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- electronic-design-automation
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- chip-placement
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- physical-design
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- dreamplace
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- openroad
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---
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# PPAPlace Exact-5000 Training Dataset
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This release contains the frozen training corpus used by PPAPlace: exactly
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5,000 distinct mixed-size DREAMPlace placements across ten ChiPBench circuits,
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with one post-global-routing OpenROAD label JSON for every DEF.
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## Contents
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| Circuit | DEFs | Labels | Compressed size | SHA-256 |
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| --- | ---: | ---: | ---: | --- |
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| `bp_be12` | 500 | 500 | 0.20 GiB | `2f102b2128bbf8dfc846d2b2e087c48f21f07bebc471b62ab716d11a8ff4d27b` |
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| `bp_fe` | 500 | 500 | 0.17 GiB | `b9ca630ff311cc2925247e27a80e46fbebf786f7364cc5840e177548b757e933` |
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| 26 |
+
| `bp_multi` | 500 | 500 | 0.90 GiB | `23071960c668e6d2b0f91f77bcfa5ce8bb335650c46589baf19e3c87c09927b6` |
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| `dft68` | 500 | 500 | 0.22 GiB | `fac0d1c1486100ef81b8ccf986b20a44948192e73a62821af7885fcc9becf102` |
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| `ethernet` | 500 | 500 | 0.18 GiB | `343b8d2a8ea0284aa7ebca570d1043a300614499d9a3420f5bbe704db8e1786b` |
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| `isa_npu` | 500 | 500 | 4.97 GiB | `f9e2ee8b04818c3a3f00a97d6239106494a97d76b742769f6559c43c0bc8152e` |
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| `mor1kx` | 500 | 500 | 0.44 GiB | `cef3034871f596386fa5a1e003a2e51d3e2b5a150cabf6f585bcf1a3046a407a` |
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| `or1200` | 500 | 500 | 0.14 GiB | `b7c7d025b41b4029f568a498455e46c5464f993fb92bfe6ac14404198ba40009` |
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| `swerv_wrapper43` | 500 | 500 | 0.54 GiB | `c1b0cf03640b2297bddf698bc82888cbeec6703c05983f2518bae4e02598f938` |
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| `vga_lcd` | 500 | 500 | 0.70 GiB | `234ee1dd04529b3c25c9fc41846ae3cec6c202820eb87b77ada877d17ebaeb53` |
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The uncompressed certified payload is
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198,591,827,060 bytes. `samples.csv` and
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`samples.jsonl` provide one row per pair, including archive member paths,
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cryptographic hashes, PPA labels, and the DREAMPlace hyperparameters.
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Each circuit archive contains only its 500 certified `*_final.def` files and
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500 matching `grt_jsons/*_final_grt.json` files. Generation candidates, failed
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runs, flow scratch, and machine-specific paths are intentionally excluded.
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## Labels
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- `wns`: `globalroute__timing__setup__ws`
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- `tns`: `globalroute__timing__setup__tns`
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- `power`: `globalroute__power__total`
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- `area`: `globalroute__design__core__area`
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## Verification
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```bash
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sha256sum -c SHA256SUMS
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tar --use-compress-program=unzstd -xf data/bp_fe.tar.zst
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```
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`metadata/certificate.json` is the immutable exact-5,000 certificate.
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`metadata/snapshot_artifacts.json` records the SHA-256 and byte count of every
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DEF and label. Every archive was decompressed after creation and every member
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was compared byte-for-byte with that inventory.
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Source aggregate SHA-256:
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`f51ba91e7da337518c4f0c00738157a1d51bb22ce094ff15ce7e6de8b4a1eea4`.
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## Required benchmark files
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The archives contain generated placements and labels. Obtain the corresponding
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ChiPBench LEF/design files separately from the upstream ChiPBench project and
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follow the PPAPlace repository documentation to train or regenerate features.
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## License and provenance
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| 73 |
+
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This upload uses `license: other` conservatively. Review
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`THIRD_PARTY_NOTICES.md` and select an appropriate release license before
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making the dataset public. Generated files derive from ChiPBench benchmark
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designs and were produced with DREAMPlace and the ChiPBench/OpenROAD flow.
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READY_TO_UPLOAD.json
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{
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"archive_count": 10,
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"checksum_entry_count": 41,
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"dataset_total_pairs": 5000,
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"passed": true,
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"prepared_at_utc": "2026-08-18T15:54:55.107905+00:00",
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"release_manifest_sha256": "427ff5d0b3ca4fad6ca075efd0dae845728e5ef41526b5fe02e822380fb6cf1e",
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"source_artifact_content_sha256": "f51ba91e7da337518c4f0c00738157a1d51bb22ce094ff15ce7e6de8b4a1eea4"
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}
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SHA256SUMS
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+
7f8dc89cebda00eff699a850831017daf5e78c317f61fc6c857279666467db2b README.md
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| 2 |
+
7e9d3341ef608a7662488f25b107ecf99f0c716356e56daaaeabb9d5c7f965f0 READY_TO_UPLOAD.json
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| 3 |
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7055a5e2216692685ee9a8f9e500533fb985cc2a6c3cb7dd7920fa3650e811e9 THIRD_PARTY_NOTICES.md
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| 4 |
+
2f102b2128bbf8dfc846d2b2e087c48f21f07bebc471b62ab716d11a8ff4d27b data/bp_be12.tar.zst
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| 5 |
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0ecab1d122ac29bb2aff13252051b85b7f01dd1f6055763ab77b3b35cbe8941e data/bp_be12.verified.json
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b9ca630ff311cc2925247e27a80e46fbebf786f7364cc5840e177548b757e933 data/bp_fe.tar.zst
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e9b689a4c5aae61f090700f9b92531834e30825a1d37e24690041fcb38738762 data/bp_fe.verified.json
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23071960c668e6d2b0f91f77bcfa5ce8bb335650c46589baf19e3c87c09927b6 data/bp_multi.tar.zst
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36f0f42e5f48deb88152a33fc7e1700b031c02b26d54a5fe54fb37a742956726 data/bp_multi.verified.json
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fac0d1c1486100ef81b8ccf986b20a44948192e73a62821af7885fcc9becf102 data/dft68.tar.zst
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| 11 |
+
c08be832c499a54d4c00ed840cedcc307c4287f89f7aa8cae05aba7c33dd8c44 data/dft68.verified.json
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| 12 |
+
343b8d2a8ea0284aa7ebca570d1043a300614499d9a3420f5bbe704db8e1786b data/ethernet.tar.zst
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| 13 |
+
d4500df2c11d5bc4cd51b0429607d05bb4d0d2e6a10a2726e60395b77c068fd8 data/ethernet.verified.json
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| 14 |
+
f9e2ee8b04818c3a3f00a97d6239106494a97d76b742769f6559c43c0bc8152e data/isa_npu.tar.zst
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| 15 |
+
50ac661c0243aac485d98474f14b405d5d1c3775d5b09dcce967124ad384fde4 data/isa_npu.verified.json
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| 16 |
+
cef3034871f596386fa5a1e003a2e51d3e2b5a150cabf6f585bcf1a3046a407a data/mor1kx.tar.zst
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| 17 |
+
583158046b069c49031031c57c1daac00aec8a28afec86679df0dd5428686275 data/mor1kx.verified.json
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| 18 |
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b7c7d025b41b4029f568a498455e46c5464f993fb92bfe6ac14404198ba40009 data/or1200.tar.zst
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| 19 |
+
423a0875041c45231909364ac04275733bb96f6a872956034c9e5df919eb125d data/or1200.verified.json
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| 20 |
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c1b0cf03640b2297bddf698bc82888cbeec6703c05983f2518bae4e02598f938 data/swerv_wrapper43.tar.zst
|
| 21 |
+
893e74b6e593007e4da29a2e7e4eae877c231f0ae1dac31d2acc5282f3f65928 data/swerv_wrapper43.verified.json
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| 22 |
+
234ee1dd04529b3c25c9fc41846ae3cec6c202820eb87b77ada877d17ebaeb53 data/vga_lcd.tar.zst
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| 23 |
+
d838fd460dd1c8f1ab90f4bb4623cec3ca77f251555a7d3a0147ba7de68ee428 data/vga_lcd.verified.json
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| 24 |
+
1b5a879fe14f6f6e99b9f7e8c7c7e65a3ebb5c228762d70639953281eef67e2e metadata/certificate.json
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+
de575ba3215ecb74ef7d9c2bdf2a3b866b5fb4f889a11829bc32315af2ac0bea metadata/chipbench_commit.txt
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| 26 |
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df1c0722db38d4b5bdd5eb6e2afcd373fdba27721551c66f3af5a417aab75d7b metadata/dreamplace_commit.txt
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5e0f1f2a429653bcae3c8adb0cfd6fbb30915a8b0b95eac51953e49a31de82f5 metadata/exact5000_common_frontier_manifest.json
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| 28 |
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e96541a266ecdcbd6ea0d4e689ebc2db50aca978f1b1aa6eb25b12a364a1b624 metadata/exact5000_common_frontier_summary.json
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| 29 |
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30af294459eebcce3a2251cd4a2e7bdfc81332c3f29caa6ff9ee9802fc4f4501 metadata/exact5000_independent_audit.json
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| 30 |
+
98d385c5e7dfbb0454ec8b161f8d365d8b9b6d5f31122695129ca415c40a742d metadata/exact5000_second_replay.json
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| 31 |
+
ec7af38c33821f071d3a70fec48dedc05c08cd32d56be4e646017f11fce6eb01 metadata/ppaplace_commit.txt
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| 32 |
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83347cfc549fd6decf57b1c54bfe46e7f8cb62f325aa6240f3f74cc3c2b0d537 metadata/snapshot_artifacts.json
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| 33 |
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1642e3cb9f78f5dbf23237f2ec26b1f16990eead0fb198723cc32d13bc6a557f metadata/snapshot_manifest.json
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| 34 |
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0ca0ddd0430acc03911d05acbd2daf20136d2a7fae6cdda5158cdb134fb35a74 metadata/tensor_audit.json
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| 35 |
+
778bf192d8ff0b882ad467c9464175c7c5269c6d604d2d7e74099cbf21ff7c5a metadata/toolchain_and_hardware.txt
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| 36 |
+
e3c7c0241f41095d3c28f746f86136df0ca21259d4e558b242c3f01083d6646f metadata/workflow_sha256.txt
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| 37 |
+
61ff7fa18b1f94fcb074193475d41446255762a8c599e56912a80d844783abd0 metadata/workflow_sources.tar.gz
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| 38 |
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8c376f8179c73c6c451787ed96113a58b04986fdb83d1a78df3b2a12f94d6989 metadata/working_tree.patch
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| 39 |
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427ff5d0b3ca4fad6ca075efd0dae845728e5ef41526b5fe02e822380fb6cf1e release_manifest.json
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| 40 |
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1f274d91668d2eb077797ab8e2691d867d2830806e012866da43471ba594321e samples.csv
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| 41 |
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f175afc928000973f00a011d818952375b40188ae3429106d274d6cbe8cf1893 samples.jsonl
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THIRD_PARTY_NOTICES.md
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| 1 |
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# Third-party notices
|
| 2 |
+
|
| 3 |
+
The PPAPlace training corpus contains generated placement DEFs and metrics
|
| 4 |
+
derived from ChiPBench benchmark inputs. ChiPBench's top-level license is
|
| 5 |
+
reproduced below. Individual benchmark designs may carry additional upstream
|
| 6 |
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notices in the ChiPBench source repository. This package does not replace or
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| 7 |
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supersede those notices.
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| 8 |
+
|
| 9 |
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Before a public upload, the publisher should confirm the intended PPAPlace
|
| 10 |
+
dataset license and the redistribution terms of all constituent benchmark
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| 11 |
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designs. For that reason, the prepared Hugging Face card uses `license: other`
|
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instead of asserting a new license grant.
|
| 13 |
+
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| 14 |
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## ChiPBench top-level license
|
| 15 |
+
|
| 16 |
+
```text
|
| 17 |
+
BSD 3-Clause License
|
| 18 |
+
|
| 19 |
+
Copyright (c) 2024, ZhaojieTu
|
| 20 |
+
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| 21 |
+
Redistribution and use in source and binary forms, with or without
|
| 22 |
+
modification, are permitted provided that the following conditions are met:
|
| 23 |
+
|
| 24 |
+
1. Redistributions of source code must retain the above copyright notice, this
|
| 25 |
+
list of conditions and the following disclaimer.
|
| 26 |
+
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| 27 |
+
2. Redistributions in binary form must reproduce the above copyright notice,
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| 28 |
+
this list of conditions and the following disclaimer in the documentation
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| 29 |
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and/or other materials provided with the distribution.
|
| 30 |
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| 31 |
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3. Neither the name of the copyright holder nor the names of its
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| 32 |
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contributors may be used to endorse or promote products derived from
|
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this software without specific prior written permission.
|
| 34 |
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| 35 |
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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| 36 |
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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| 37 |
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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| 38 |
+
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
|
| 39 |
+
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
|
| 40 |
+
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
|
| 41 |
+
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
|
| 42 |
+
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
|
| 43 |
+
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
| 44 |
+
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
| 45 |
+
```
|
data/bp_be12.tar.zst
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| 109 |
+
"path": "swerv_wrapper43.content_audit.json",
|
| 110 |
+
"sha256": "d723462bcd0c7a5eea86121d9ab6015f690f1d3d6f50f69b27a7f9d5914516dd",
|
| 111 |
+
"size": 263302
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"mode": "0o444",
|
| 115 |
+
"path": "swerv_wrapper43.tensor_audit.json",
|
| 116 |
+
"sha256": "fb7c78234b32f02c12de9cc38abda8055915f52638a92f9683023097f4b25950",
|
| 117 |
+
"size": 686016
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"mode": "0o444",
|
| 121 |
+
"path": "vga_lcd.content_audit.json",
|
| 122 |
+
"sha256": "622358ed7d1566ec99bad45a11161f49ceb17ddbaadf1252df6b0a601b94fa83",
|
| 123 |
+
"size": 269106
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"mode": "0o444",
|
| 127 |
+
"path": "vga_lcd.tensor_audit.json",
|
| 128 |
+
"sha256": "341993b19a8e0cc1d4a61152cf318cb0d2e3951d158e9bc5c8b44a9e18fc8c7f",
|
| 129 |
+
"size": 686935
|
| 130 |
+
}
|
| 131 |
+
],
|
| 132 |
+
"passed": true,
|
| 133 |
+
"schema_version": 1
|
| 134 |
+
}
|
metadata/exact5000_common_frontier_summary.json
ADDED
|
@@ -0,0 +1,382 @@
|
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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 |
+
{
|
| 2 |
+
"circuits": [
|
| 3 |
+
{
|
| 4 |
+
"assertions": {
|
| 5 |
+
"audited_inventory_still_present_in_append_only_source": true,
|
| 6 |
+
"content_all_checks": true,
|
| 7 |
+
"content_errors_empty": true,
|
| 8 |
+
"content_pair_inventory": true,
|
| 9 |
+
"content_passed": true,
|
| 10 |
+
"content_snapshot_stable": true,
|
| 11 |
+
"content_tensor_count_signature_match": true,
|
| 12 |
+
"content_tensor_labels_match": true,
|
| 13 |
+
"macro_mobility_direct": true,
|
| 14 |
+
"macro_mobility_tolerance_aware": true,
|
| 15 |
+
"tensor_all_checks": true,
|
| 16 |
+
"tensor_errors_empty": true,
|
| 17 |
+
"tensor_passed": true,
|
| 18 |
+
"tensor_sample_inventory": true,
|
| 19 |
+
"tensor_snapshot_stable": true,
|
| 20 |
+
"tensor_unique_count": true
|
| 21 |
+
},
|
| 22 |
+
"audited_inventory_still_present": true,
|
| 23 |
+
"circuit": "bp_fe",
|
| 24 |
+
"content_audit_sha256": "66b6fe42f7de763078b28d3d6bf87f021a446a37312b853fb1fbb2a7f6fedf2d",
|
| 25 |
+
"count": 500,
|
| 26 |
+
"filename_sha256": "23bc82b4f81948a8b091e8b75409257e6707e99741f841bdbf94c8b139599ea9",
|
| 27 |
+
"label_unique_counts": {
|
| 28 |
+
"Area": 1,
|
| 29 |
+
"Power": 487,
|
| 30 |
+
"TNS": 500,
|
| 31 |
+
"WNS": 500
|
| 32 |
+
},
|
| 33 |
+
"live_source_count_at_seal": 500,
|
| 34 |
+
"live_source_filename_sha256_at_seal": "23bc82b4f81948a8b091e8b75409257e6707e99741f841bdbf94c8b139599ea9",
|
| 35 |
+
"report_pair_source": "live_current",
|
| 36 |
+
"tensor_audit_sha256": "cd4bb2692f478210b5d28e198bd68837365909a52d0331e2b6be4acc9315fe43",
|
| 37 |
+
"unique_tensor_hash_count": 500
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"assertions": {
|
| 41 |
+
"audited_inventory_still_present_in_append_only_source": true,
|
| 42 |
+
"content_all_checks": true,
|
| 43 |
+
"content_errors_empty": true,
|
| 44 |
+
"content_pair_inventory": true,
|
| 45 |
+
"content_passed": true,
|
| 46 |
+
"content_snapshot_stable": true,
|
| 47 |
+
"content_tensor_count_signature_match": true,
|
| 48 |
+
"content_tensor_labels_match": true,
|
| 49 |
+
"macro_mobility_direct": true,
|
| 50 |
+
"macro_mobility_tolerance_aware": true,
|
| 51 |
+
"tensor_all_checks": true,
|
| 52 |
+
"tensor_errors_empty": true,
|
| 53 |
+
"tensor_passed": true,
|
| 54 |
+
"tensor_sample_inventory": true,
|
| 55 |
+
"tensor_snapshot_stable": true,
|
| 56 |
+
"tensor_unique_count": true
|
| 57 |
+
},
|
| 58 |
+
"audited_inventory_still_present": true,
|
| 59 |
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"circuit": "bp_be12",
|
| 60 |
+
"content_audit_sha256": "f29acc76f5507d8cd12273b14e3917ecd22fe40b39f166428e57568270f422e2",
|
| 61 |
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"count": 500,
|
| 62 |
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"filename_sha256": "674c68c61bec4d4b30c0b53b292affb413cc1dafe20448066f92b86b110ccff3",
|
| 63 |
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"label_unique_counts": {
|
| 64 |
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"Area": 1,
|
| 65 |
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"Power": 494,
|
| 66 |
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|
| 67 |
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|
| 68 |
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},
|
| 69 |
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"live_source_count_at_seal": 500,
|
| 70 |
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"live_source_filename_sha256_at_seal": "674c68c61bec4d4b30c0b53b292affb413cc1dafe20448066f92b86b110ccff3",
|
| 71 |
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"report_pair_source": "live_current",
|
| 72 |
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"tensor_audit_sha256": "73318efaa6beae594d287a3c20c1660b5995fd32910da0f1e6acaca24b72b1dd",
|
| 73 |
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"unique_tensor_hash_count": 500
|
| 74 |
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},
|
| 75 |
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{
|
| 76 |
+
"assertions": {
|
| 77 |
+
"audited_inventory_still_present_in_append_only_source": true,
|
| 78 |
+
"content_all_checks": true,
|
| 79 |
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"content_errors_empty": true,
|
| 80 |
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"content_pair_inventory": true,
|
| 81 |
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"content_passed": true,
|
| 82 |
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"content_snapshot_stable": true,
|
| 83 |
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"content_tensor_count_signature_match": true,
|
| 84 |
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"content_tensor_labels_match": true,
|
| 85 |
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"macro_mobility_direct": true,
|
| 86 |
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"macro_mobility_tolerance_aware": true,
|
| 87 |
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"tensor_all_checks": true,
|
| 88 |
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"tensor_errors_empty": true,
|
| 89 |
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"tensor_passed": true,
|
| 90 |
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"tensor_sample_inventory": true,
|
| 91 |
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"tensor_snapshot_stable": true,
|
| 92 |
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"tensor_unique_count": true
|
| 93 |
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},
|
| 94 |
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"audited_inventory_still_present": true,
|
| 95 |
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"circuit": "isa_npu",
|
| 96 |
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"content_audit_sha256": "2ea4ae7bc58d2de045c16edc8dbe24efede7dbce7e84a9b98e9379d2ce51f12a",
|
| 97 |
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"count": 500,
|
| 98 |
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"filename_sha256": "9fa0f34b725f318b1d3ac163a7a2bcf80de170a1ae9ccf2a9cc718ca38aa380f",
|
| 99 |
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|
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|
| 101 |
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"Power": 495,
|
| 102 |
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|
| 103 |
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|
| 104 |
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},
|
| 105 |
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"live_source_count_at_seal": 500,
|
| 106 |
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"live_source_filename_sha256_at_seal": "9fa0f34b725f318b1d3ac163a7a2bcf80de170a1ae9ccf2a9cc718ca38aa380f",
|
| 107 |
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"report_pair_source": "live_current",
|
| 108 |
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"tensor_audit_sha256": "cd391bd862f2e1c6922b3889fee343625017c097ec40e1623f35aa200029cddf",
|
| 109 |
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"unique_tensor_hash_count": 500
|
| 110 |
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},
|
| 111 |
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{
|
| 112 |
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"assertions": {
|
| 113 |
+
"audited_inventory_still_present_in_append_only_source": true,
|
| 114 |
+
"content_all_checks": true,
|
| 115 |
+
"content_errors_empty": true,
|
| 116 |
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"content_pair_inventory": true,
|
| 117 |
+
"content_passed": true,
|
| 118 |
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"content_snapshot_stable": true,
|
| 119 |
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"content_tensor_count_signature_match": true,
|
| 120 |
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"content_tensor_labels_match": true,
|
| 121 |
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"macro_mobility_direct": true,
|
| 122 |
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"macro_mobility_tolerance_aware": true,
|
| 123 |
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"tensor_all_checks": true,
|
| 124 |
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"tensor_errors_empty": true,
|
| 125 |
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"tensor_passed": true,
|
| 126 |
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"tensor_sample_inventory": true,
|
| 127 |
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"tensor_snapshot_stable": true,
|
| 128 |
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"tensor_unique_count": true
|
| 129 |
+
},
|
| 130 |
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"audited_inventory_still_present": true,
|
| 131 |
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"circuit": "bp_multi",
|
| 132 |
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"content_audit_sha256": "9a61cfd16fe16541444d13a4801d9fd15e479ad999c6b5ab72e694bd60b83247",
|
| 133 |
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"count": 500,
|
| 134 |
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"filename_sha256": "9fa0f34b725f318b1d3ac163a7a2bcf80de170a1ae9ccf2a9cc718ca38aa380f",
|
| 135 |
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"label_unique_counts": {
|
| 136 |
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|
| 137 |
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"Power": 495,
|
| 138 |
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"TNS": 499,
|
| 139 |
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"WNS": 499
|
| 140 |
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},
|
| 141 |
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"live_source_count_at_seal": 500,
|
| 142 |
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"live_source_filename_sha256_at_seal": "9fa0f34b725f318b1d3ac163a7a2bcf80de170a1ae9ccf2a9cc718ca38aa380f",
|
| 143 |
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"report_pair_source": "live_current",
|
| 144 |
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"tensor_audit_sha256": "5d0080d0815fc0ec1e739ffb4cd33c85469def2430ee032c75352f2ab0218d50",
|
| 145 |
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"unique_tensor_hash_count": 500
|
| 146 |
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},
|
| 147 |
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{
|
| 148 |
+
"assertions": {
|
| 149 |
+
"audited_inventory_still_present_in_append_only_source": true,
|
| 150 |
+
"content_all_checks": true,
|
| 151 |
+
"content_errors_empty": true,
|
| 152 |
+
"content_pair_inventory": true,
|
| 153 |
+
"content_passed": true,
|
| 154 |
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"content_snapshot_stable": true,
|
| 155 |
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|
| 156 |
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"content_tensor_labels_match": true,
|
| 157 |
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"macro_mobility_direct": true,
|
| 158 |
+
"macro_mobility_tolerance_aware": true,
|
| 159 |
+
"tensor_all_checks": true,
|
| 160 |
+
"tensor_errors_empty": true,
|
| 161 |
+
"tensor_passed": true,
|
| 162 |
+
"tensor_sample_inventory": true,
|
| 163 |
+
"tensor_snapshot_stable": true,
|
| 164 |
+
"tensor_unique_count": true
|
| 165 |
+
},
|
| 166 |
+
"audited_inventory_still_present": true,
|
| 167 |
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"circuit": "or1200",
|
| 168 |
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"content_audit_sha256": "e329ec689c2ca5376082b7c1fcac33878f67dd187ee0ba4d07cab961afb3fc76",
|
| 169 |
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"count": 500,
|
| 170 |
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"filename_sha256": "05b59877115548cde0510fdfbedc543d736123507016ec9a55c9585ad691fe6f",
|
| 171 |
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"label_unique_counts": {
|
| 172 |
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"Area": 1,
|
| 173 |
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"Power": 496,
|
| 174 |
+
"TNS": 500,
|
| 175 |
+
"WNS": 500
|
| 176 |
+
},
|
| 177 |
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"live_source_count_at_seal": 500,
|
| 178 |
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"live_source_filename_sha256_at_seal": "05b59877115548cde0510fdfbedc543d736123507016ec9a55c9585ad691fe6f",
|
| 179 |
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"report_pair_source": "live_current",
|
| 180 |
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"tensor_audit_sha256": "ac63090fa495de8677500c6d73cd43134bc039a30f7caa91d6b8cd06e1393ea9",
|
| 181 |
+
"unique_tensor_hash_count": 500
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"assertions": {
|
| 185 |
+
"audited_inventory_still_present_in_append_only_source": true,
|
| 186 |
+
"content_all_checks": true,
|
| 187 |
+
"content_errors_empty": true,
|
| 188 |
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"content_pair_inventory": true,
|
| 189 |
+
"content_passed": true,
|
| 190 |
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"content_snapshot_stable": true,
|
| 191 |
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"content_tensor_count_signature_match": true,
|
| 192 |
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"content_tensor_labels_match": true,
|
| 193 |
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"macro_mobility_direct": true,
|
| 194 |
+
"macro_mobility_tolerance_aware": true,
|
| 195 |
+
"tensor_all_checks": true,
|
| 196 |
+
"tensor_errors_empty": true,
|
| 197 |
+
"tensor_passed": true,
|
| 198 |
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"tensor_sample_inventory": true,
|
| 199 |
+
"tensor_snapshot_stable": true,
|
| 200 |
+
"tensor_unique_count": true
|
| 201 |
+
},
|
| 202 |
+
"audited_inventory_still_present": true,
|
| 203 |
+
"circuit": "swerv_wrapper43",
|
| 204 |
+
"content_audit_sha256": "d723462bcd0c7a5eea86121d9ab6015f690f1d3d6f50f69b27a7f9d5914516dd",
|
| 205 |
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"count": 500,
|
| 206 |
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"filename_sha256": "e653bd786c735d779b7b4aa34e85da5aa0b7ada5ec138fa230b4925e3ea5f98d",
|
| 207 |
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"label_unique_counts": {
|
| 208 |
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"Area": 1,
|
| 209 |
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"Power": 495,
|
| 210 |
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"TNS": 500,
|
| 211 |
+
"WNS": 500
|
| 212 |
+
},
|
| 213 |
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"live_source_count_at_seal": 500,
|
| 214 |
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"live_source_filename_sha256_at_seal": "e653bd786c735d779b7b4aa34e85da5aa0b7ada5ec138fa230b4925e3ea5f98d",
|
| 215 |
+
"report_pair_source": "live_current",
|
| 216 |
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"tensor_audit_sha256": "fb7c78234b32f02c12de9cc38abda8055915f52638a92f9683023097f4b25950",
|
| 217 |
+
"unique_tensor_hash_count": 500
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"assertions": {
|
| 221 |
+
"audited_inventory_still_present_in_append_only_source": true,
|
| 222 |
+
"content_all_checks": true,
|
| 223 |
+
"content_errors_empty": true,
|
| 224 |
+
"content_pair_inventory": true,
|
| 225 |
+
"content_passed": true,
|
| 226 |
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"content_snapshot_stable": true,
|
| 227 |
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"content_tensor_count_signature_match": true,
|
| 228 |
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"content_tensor_labels_match": true,
|
| 229 |
+
"macro_mobility_direct": true,
|
| 230 |
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"macro_mobility_tolerance_aware": true,
|
| 231 |
+
"tensor_all_checks": true,
|
| 232 |
+
"tensor_errors_empty": true,
|
| 233 |
+
"tensor_passed": true,
|
| 234 |
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"tensor_sample_inventory": true,
|
| 235 |
+
"tensor_snapshot_stable": true,
|
| 236 |
+
"tensor_unique_count": true
|
| 237 |
+
},
|
| 238 |
+
"audited_inventory_still_present": true,
|
| 239 |
+
"circuit": "vga_lcd",
|
| 240 |
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"content_audit_sha256": "622358ed7d1566ec99bad45a11161f49ceb17ddbaadf1252df6b0a601b94fa83",
|
| 241 |
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"count": 500,
|
| 242 |
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"filename_sha256": "5cc79daf95cc9eff65612f7c39d6243e35cb44d2367d6370683c47b7b35935ad",
|
| 243 |
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"label_unique_counts": {
|
| 244 |
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"Area": 1,
|
| 245 |
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"Power": 493,
|
| 246 |
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"TNS": 500,
|
| 247 |
+
"WNS": 500
|
| 248 |
+
},
|
| 249 |
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"live_source_count_at_seal": 500,
|
| 250 |
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"live_source_filename_sha256_at_seal": "5cc79daf95cc9eff65612f7c39d6243e35cb44d2367d6370683c47b7b35935ad",
|
| 251 |
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"report_pair_source": "live_current",
|
| 252 |
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"tensor_audit_sha256": "341993b19a8e0cc1d4a61152cf318cb0d2e3951d158e9bc5c8b44a9e18fc8c7f",
|
| 253 |
+
"unique_tensor_hash_count": 500
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"assertions": {
|
| 257 |
+
"audited_inventory_still_present_in_append_only_source": true,
|
| 258 |
+
"content_all_checks": true,
|
| 259 |
+
"content_errors_empty": true,
|
| 260 |
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"content_pair_inventory": true,
|
| 261 |
+
"content_passed": true,
|
| 262 |
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"content_snapshot_stable": true,
|
| 263 |
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"content_tensor_count_signature_match": true,
|
| 264 |
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"content_tensor_labels_match": true,
|
| 265 |
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"macro_mobility_direct": true,
|
| 266 |
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"macro_mobility_tolerance_aware": true,
|
| 267 |
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"tensor_all_checks": true,
|
| 268 |
+
"tensor_errors_empty": true,
|
| 269 |
+
"tensor_passed": true,
|
| 270 |
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"tensor_sample_inventory": true,
|
| 271 |
+
"tensor_snapshot_stable": true,
|
| 272 |
+
"tensor_unique_count": true
|
| 273 |
+
},
|
| 274 |
+
"audited_inventory_still_present": true,
|
| 275 |
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"circuit": "ethernet",
|
| 276 |
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"content_audit_sha256": "cf368ce8e473b54e6479e15398f7b971be493e64fc98d3cc178a87f7b11cedc9",
|
| 277 |
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"count": 500,
|
| 278 |
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"filename_sha256": "7494b83b5b89a01792ec2b6c1aa9c54237d46a346a8f849ee4461c755037fa22",
|
| 279 |
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"label_unique_counts": {
|
| 280 |
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"Area": 1,
|
| 281 |
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"Power": 481,
|
| 282 |
+
"TNS": 500,
|
| 283 |
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"WNS": 498
|
| 284 |
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},
|
| 285 |
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"live_source_count_at_seal": 500,
|
| 286 |
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"live_source_filename_sha256_at_seal": "7494b83b5b89a01792ec2b6c1aa9c54237d46a346a8f849ee4461c755037fa22",
|
| 287 |
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"report_pair_source": "live_current",
|
| 288 |
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"tensor_audit_sha256": "589b36e7c23cf28c43579bd8cb19e306ada9f5d99826796f644fd8cbeb452606",
|
| 289 |
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"unique_tensor_hash_count": 500
|
| 290 |
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},
|
| 291 |
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{
|
| 292 |
+
"assertions": {
|
| 293 |
+
"audited_inventory_still_present_in_append_only_source": true,
|
| 294 |
+
"content_all_checks": true,
|
| 295 |
+
"content_errors_empty": true,
|
| 296 |
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"content_pair_inventory": true,
|
| 297 |
+
"content_passed": true,
|
| 298 |
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"content_snapshot_stable": true,
|
| 299 |
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"content_tensor_count_signature_match": true,
|
| 300 |
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"content_tensor_labels_match": true,
|
| 301 |
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"macro_mobility_direct": true,
|
| 302 |
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"macro_mobility_tolerance_aware": true,
|
| 303 |
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"tensor_all_checks": true,
|
| 304 |
+
"tensor_errors_empty": true,
|
| 305 |
+
"tensor_passed": true,
|
| 306 |
+
"tensor_sample_inventory": true,
|
| 307 |
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"tensor_snapshot_stable": true,
|
| 308 |
+
"tensor_unique_count": true
|
| 309 |
+
},
|
| 310 |
+
"audited_inventory_still_present": true,
|
| 311 |
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"circuit": "dft68",
|
| 312 |
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"content_audit_sha256": "693f51178a0e5498f101ca35dc02de2f5be7f488ef81a53f7b3f4b4f52df46fc",
|
| 313 |
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"count": 500,
|
| 314 |
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"filename_sha256": "05282d25ad89d704257001bd8cf1dd4bf844e72b0ecfb0194f33cc3a00af9914",
|
| 315 |
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"label_unique_counts": {
|
| 316 |
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"Area": 1,
|
| 317 |
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"Power": 492,
|
| 318 |
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"TNS": 499,
|
| 319 |
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"WNS": 500
|
| 320 |
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},
|
| 321 |
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"live_source_count_at_seal": 500,
|
| 322 |
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"live_source_filename_sha256_at_seal": "05282d25ad89d704257001bd8cf1dd4bf844e72b0ecfb0194f33cc3a00af9914",
|
| 323 |
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"report_pair_source": "live_current",
|
| 324 |
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"tensor_audit_sha256": "baf74cefc820c857f49c745e41c48cd88a5601fe9218b4b83b2da2415594330c",
|
| 325 |
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"unique_tensor_hash_count": 500
|
| 326 |
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},
|
| 327 |
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{
|
| 328 |
+
"assertions": {
|
| 329 |
+
"audited_inventory_still_present_in_append_only_source": true,
|
| 330 |
+
"content_all_checks": true,
|
| 331 |
+
"content_errors_empty": true,
|
| 332 |
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"content_pair_inventory": true,
|
| 333 |
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"content_passed": true,
|
| 334 |
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"content_snapshot_stable": true,
|
| 335 |
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|
| 336 |
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|
| 337 |
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"macro_mobility_direct": true,
|
| 338 |
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"macro_mobility_tolerance_aware": true,
|
| 339 |
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"tensor_all_checks": true,
|
| 340 |
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"tensor_errors_empty": true,
|
| 341 |
+
"tensor_passed": true,
|
| 342 |
+
"tensor_sample_inventory": true,
|
| 343 |
+
"tensor_snapshot_stable": true,
|
| 344 |
+
"tensor_unique_count": true
|
| 345 |
+
},
|
| 346 |
+
"audited_inventory_still_present": true,
|
| 347 |
+
"circuit": "mor1kx",
|
| 348 |
+
"content_audit_sha256": "8ce4006a061e1616f0ea83b40dfd8094a639b2085b9bd14d6e4cfa2632c22a91",
|
| 349 |
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"count": 500,
|
| 350 |
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"filename_sha256": "9fa0f34b725f318b1d3ac163a7a2bcf80de170a1ae9ccf2a9cc718ca38aa380f",
|
| 351 |
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|
| 352 |
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"Area": 1,
|
| 353 |
+
"Power": 489,
|
| 354 |
+
"TNS": 496,
|
| 355 |
+
"WNS": 497
|
| 356 |
+
},
|
| 357 |
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"live_source_count_at_seal": 500,
|
| 358 |
+
"live_source_filename_sha256_at_seal": "9fa0f34b725f318b1d3ac163a7a2bcf80de170a1ae9ccf2a9cc718ca38aa380f",
|
| 359 |
+
"report_pair_source": "live_current",
|
| 360 |
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"tensor_audit_sha256": "294bb838b33a1d5779d3d94aabf4003db0b8fe1e61a02aac0e3380ba3a95cc31",
|
| 361 |
+
"unique_tensor_hash_count": 500
|
| 362 |
+
}
|
| 363 |
+
],
|
| 364 |
+
"expected_total": 5000,
|
| 365 |
+
"generated_at_utc": "2026-08-18T14:31:30.448647+00:00",
|
| 366 |
+
"observed_total": 5000,
|
| 367 |
+
"passed": true,
|
| 368 |
+
"requirements": {
|
| 369 |
+
"all_content_audits_pass": true,
|
| 370 |
+
"all_macros_move_across_samples": true,
|
| 371 |
+
"all_macros_move_tolerance_aware_across_samples": true,
|
| 372 |
+
"all_model_input_tensors_unique_within_circuit": true,
|
| 373 |
+
"all_tensor_audits_pass": true,
|
| 374 |
+
"audited_inventories_still_present_in_append_only_sources": true,
|
| 375 |
+
"content_tensor_labels_identical": true,
|
| 376 |
+
"ppa_vectors_not_collapsed": true,
|
| 377 |
+
"source_filename_snapshots_stable_during_each_audit": true,
|
| 378 |
+
"ten_manuscript_training_circuits": true
|
| 379 |
+
},
|
| 380 |
+
"schema_version": 1,
|
| 381 |
+
"scope": "immutable common content+production-tensor audit frontier; live sources are append-only and may already be ahead"
|
| 382 |
+
}
|
metadata/exact5000_independent_audit.json
ADDED
|
@@ -0,0 +1,146 @@
|
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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 |
+
{
|
| 2 |
+
"assertion_count": 19,
|
| 3 |
+
"assertions": {
|
| 4 |
+
"all_macros_move_across_samples": true,
|
| 5 |
+
"all_model_input_tensors_unique": true,
|
| 6 |
+
"all_source_labels_reparsed": true,
|
| 7 |
+
"content_reports_pass": true,
|
| 8 |
+
"content_tensor_labels_identical": true,
|
| 9 |
+
"content_tensor_signatures_identical": true,
|
| 10 |
+
"expected_per_circuit_counts_exact": true,
|
| 11 |
+
"manifest_member_count_exact21": true,
|
| 12 |
+
"manifest_member_modes_0444": true,
|
| 13 |
+
"manifest_member_sha256_exact": true,
|
| 14 |
+
"manifest_member_sizes_exact": true,
|
| 15 |
+
"manifest_mode_0444": true,
|
| 16 |
+
"openroad_label_handoff_macros_fixed": true,
|
| 17 |
+
"seal_directory_mode_0555": true,
|
| 18 |
+
"source_content_tensor_labels_identical": true,
|
| 19 |
+
"summary_exact_total": true,
|
| 20 |
+
"summary_sha256_manifest_bound": true,
|
| 21 |
+
"ten_circuits_exact": true,
|
| 22 |
+
"tensor_reports_pass": true
|
| 23 |
+
},
|
| 24 |
+
"circuits": [
|
| 25 |
+
{
|
| 26 |
+
"all_macros_move": true,
|
| 27 |
+
"all_macros_move_tolerance_aware": true,
|
| 28 |
+
"circuit": "bp_fe",
|
| 29 |
+
"content_tensor_source_labels_identical": true,
|
| 30 |
+
"count": 500,
|
| 31 |
+
"fixed_openroad_handoff_verified": true,
|
| 32 |
+
"macro_count": 11,
|
| 33 |
+
"source_labels_reparsed": 500,
|
| 34 |
+
"unique_tensor_hash_count": 500
|
| 35 |
+
},
|
| 36 |
+
{
|
| 37 |
+
"all_macros_move": true,
|
| 38 |
+
"all_macros_move_tolerance_aware": true,
|
| 39 |
+
"circuit": "bp_be12",
|
| 40 |
+
"content_tensor_source_labels_identical": true,
|
| 41 |
+
"count": 500,
|
| 42 |
+
"fixed_openroad_handoff_verified": true,
|
| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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| 53 |
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|
| 55 |
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| 56 |
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|
| 57 |
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|
| 58 |
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| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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| 74 |
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|
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| 78 |
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| 79 |
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| 80 |
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| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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| 88 |
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| 89 |
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|
| 90 |
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|
| 91 |
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| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
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| 102 |
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| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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| 107 |
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|
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| 110 |
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| 111 |
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|
| 112 |
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|
| 113 |
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| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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{
|
| 125 |
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"all_macros_move": true,
|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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| 144 |
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|
| 145 |
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|
| 146 |
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|
metadata/exact5000_second_replay.json
ADDED
|
@@ -0,0 +1,146 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
|
| 1 |
+
{
|
| 2 |
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"assertion_count": 19,
|
| 3 |
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"assertions": {
|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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"expected_per_circuit_counts_exact": true,
|
| 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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|
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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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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|
| 31 |
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|
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|
| 33 |
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|
| 34 |
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| 35 |
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|
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|
| 39 |
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|
| 40 |
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|
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|
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|
| 50 |
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|
| 51 |
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| 52 |
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|
| 55 |
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|
| 56 |
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|
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|
| 58 |
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{
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| 59 |
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|
| 60 |
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| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 67 |
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|
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| 69 |
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{
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| 70 |
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"all_macros_move": true,
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| 71 |
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| 72 |
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| 80 |
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| 83 |
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| 91 |
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| 92 |
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| 94 |
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| 103 |
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|
| 105 |
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|
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| 113 |
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| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
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|
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|
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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"scope": "independent immutable exact5000 training frontier audit",
|
| 142 |
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"seal": "/home/ruogu/experiments/ppaplace/reproduction/training_data/audit_snapshots/operator_training_common_frontier_exact5000_20260818T1431Z",
|
| 143 |
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|
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|
| 146 |
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}
|
metadata/ppaplace_commit.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
b2b013e60080722c86eff2e392b36866c66062dc
|
metadata/snapshot_artifacts.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
metadata/snapshot_manifest.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
metadata/tensor_audit.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
metadata/toolchain_and_hardware.txt
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
CHIPBENCH_ROOT=/home/ruogu/NewDirection/baselines/ChiPBench
|
| 2 |
+
v2.0-17198-g8396d0866
|
| 3 |
+
Yosys 0.47+116 (git sha1 4b3c03dab, clang++ 18.1.8 -fPIC -O3)
|
| 4 |
+
KLayout 0.28.8
|
| 5 |
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2.0.1 NVIDIA RTX A6000
|
| 6 |
+
|
| 7 |
+
Native DREAMPlace/ChiPBench/OpenROAD toolchain: PASS
|
| 8 |
+
Architecture: x86_64
|
| 9 |
+
CPU op-mode(s): 32-bit, 64-bit
|
| 10 |
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Address sizes: 46 bits physical, 48 bits virtual
|
| 11 |
+
Byte Order: Little Endian
|
| 12 |
+
CPU(s): 80
|
| 13 |
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On-line CPU(s) list: 0-79
|
| 14 |
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Vendor ID: GenuineIntel
|
| 15 |
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Model name: Intel(R) Xeon(R) Gold 5218R CPU @ 2.10GHz
|
| 16 |
+
CPU family: 6
|
| 17 |
+
Model: 85
|
| 18 |
+
Thread(s) per core: 2
|
| 19 |
+
Core(s) per socket: 20
|
| 20 |
+
Socket(s): 2
|
| 21 |
+
Stepping: 7
|
| 22 |
+
CPU max MHz: 4000.0000
|
| 23 |
+
CPU min MHz: 800.0000
|
| 24 |
+
BogoMIPS: 4200.00
|
| 25 |
+
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single intel_ppin ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req pku ospke avx512_vnni md_clear flush_l1d arch_capabilities
|
| 26 |
+
Virtualization: VT-x
|
| 27 |
+
L1d cache: 1.3 MiB (40 instances)
|
| 28 |
+
L1i cache: 1.3 MiB (40 instances)
|
| 29 |
+
L2 cache: 40 MiB (40 instances)
|
| 30 |
+
L3 cache: 55 MiB (2 instances)
|
| 31 |
+
NUMA node(s): 2
|
| 32 |
+
NUMA node0 CPU(s): 0-19,40-59
|
| 33 |
+
NUMA node1 CPU(s): 20-39,60-79
|
| 34 |
+
Vulnerability Itlb multihit: KVM: Mitigation: VMX disabled
|
| 35 |
+
Vulnerability L1tf: Not affected
|
| 36 |
+
Vulnerability Mds: Not affected
|
| 37 |
+
Vulnerability Meltdown: Not affected
|
| 38 |
+
Vulnerability Mmio stale data: Mitigation; Clear CPU buffers; SMT vulnerable
|
| 39 |
+
Vulnerability Retbleed: Mitigation; Enhanced IBRS
|
| 40 |
+
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
|
| 41 |
+
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
|
| 42 |
+
Vulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
|
| 43 |
+
Vulnerability Srbds: Not affected
|
| 44 |
+
Vulnerability Tsx async abort: Mitigation; TSX disabled
|
| 45 |
+
total used free shared buff/cache available
|
| 46 |
+
Mem: 62Gi 16Gi 33Gi 40Mi 12Gi 45Gi
|
| 47 |
+
Swap: 2.0Gi 1.0Gi 1.0Gi
|
| 48 |
+
NVIDIA RTX A6000, 570.133.07, 49140 MiB
|
metadata/workflow_sha256.txt
ADDED
|
@@ -0,0 +1,81 @@
|
|
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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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|
|
|
| 1 |
+
cad2598741ee29183b65d94facda134886bcff162cd1bb483754ae67c9130d20 README.md
|
| 2 |
+
7e6923357a08283dbed60799f483c91b8154b7f1921347f5ca9f930fb7d1f6e8 requirements.txt
|
| 3 |
+
e5be3de5d15b03d7f5a2493de213bbca4d4504f95e5c4675fb5c890dcfee7bae setup.py
|
| 4 |
+
202252f77aaad1390fa6ecb19165ea761162e2861c963883c097cccf8db98f95 configs/default.yaml
|
| 5 |
+
29b7bcba000108459b532f22cc636843295cbca3a6ab745dd071870a687967e5 ppaplace/__init__.py
|
| 6 |
+
9f8e49942b9302ec4f815e452864cd304e775b83c693ccd656635ae31e6e615c ppaplace/coopt.py
|
| 7 |
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d11fd6cb5acfbf058d7ab27c3661b460cc7768f5367d1c1bfdfa53b3859b0730 ppaplace/data.py
|
| 8 |
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65f61a19b38f9eb984e6bde8a3e5ddc78409045e53e47ee70aa51389ebdb25c5 ppaplace/features.py
|
| 9 |
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4e52fcb2abbc8cb890e29de62dd2ae48c8fd7a75a3fcdb22415546077b57e4a2 ppaplace/legalize.py
|
| 10 |
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b4e9e41941cb32b7593ca15b2be8a453436bd67b4c29eb3f8e052cdcb637e827 ppaplace/loss.py
|
| 11 |
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d2a5784e16029a66b57298ef7e5f97b8f21f15830b9676152f3cc384cb0612d5 ppaplace/model.py
|
| 12 |
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f9ed3ba5f98ceb76e28eb118f63bca95e4f27239919fd59aeecd27b85b1060c3 ppaplace/refine.py
|
| 13 |
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108c3c035848ac1a278cf21c49b335c705f97ef0b1a74268ff16798c3b69965f scripts/generate_data.py
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| 14 |
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9bae8592b4c7efda0ab3912332ff725b1392f9cdddeaf1fa9eb444cb02868789 scripts/grt_eval.sh
|
| 15 |
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b2104276d87b57f988a589d068f1995e2f0af848e4593727b811975c5fdb65c8 scripts/train.py
|
| 16 |
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a20dbc0cc261ad86811362c64ef48eeecaef63ef4f364ebb22f2080ae579e736 scripts/label_fidelity.sh
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bf77a72c364d13de391b4591e892910fc5fe70b2e2b7784ddc06760e3ee81647 scripts/prepare_chipbench_flow_overlay.py
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0106dfe9bc4823a4944cd6cb44ee92e1abae5ccb2d56e43c5d9f79868a83b0e0 scripts/promote_fidelity_screen_base.py
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505530818e5307f5595f4737677f5e237ce9b0aae07c6232af7155f70f548bf3 scripts/analyze_swerv_repair_probes.py
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| 24 |
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| 28 |
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| 29 |
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| 30 |
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0ec29c384c8bf056161f48bf90392d47bc6fec1b981bfb589a719aa81440027f scripts/validate_fidelity_artifact.py
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| 32 |
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| 33 |
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4740c338202403167f3ac9e25e58bb0bf08559fdd46f493b97abff2f7b36dd2d scripts/audit_live_training_labels.py
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| 34 |
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cdb02df6859558570486001db8008abf5d293b148527e1e8a5821d89229bae21 scripts/audit_live_training_tensors.py
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53855d2ed893f25edad71d205cf898d388963c6f16010783c16d0d3b1b8043b7 scripts/seal_live_training_frontier.py
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| 38 |
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af3b984a4e699a05c82532b98b5185eacf9a7ab62b61ba98d9e1d75f6b667fe5 scripts/server/run-training-label-lane-service
|
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6bdf041fa0b96286b488dc4cf71e65d622a5b6cbf97905847b832eb5612cdd61 scripts/server/ppaplace-label-fidelity-corpus.service
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43f6a16bab534a9e50fbaf95d9fbae65c4025f64535ecc32a32a80d8c4ac7c8f scripts/server/ppaplace-fidelity-preflight-queue.service
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0057831fe6180e84bf00ebef004cfe5bd9ba1d495d9b4fc707a96cc78f99b119 scripts/server/ppaplace-reproduction-watchdog.service
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| 48 |
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| 49 |
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43aabf23f16caaf160bcbdd62dcaa6a0a0a0b7f8ee98e63c386ee37d7fe81171 scripts/server/ppaplace-training-label-lane@.service
|
| 50 |
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| 51 |
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c7cdc07f57116de15eafc668c3515ec42fa4aef162bc5a26d270c3574c86b6fd scripts/server/chipbench-env.sh
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76a563ee948b6cf8ee8dc17c3b3fafe746b3dbc94384d50b1f1aa27fc4a8b8ec scripts/server/chipbench-make
|
| 53 |
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|
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c2db7a2b110bb87d550985aa93a1fa18f53e9032e4553edd22507b9214804f61 scripts/server/verify-toolchain.sh
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c159b0e59c471c1aa7a6a31bc5c77106bf4a44fc481e5056d44dac8013b0089d docs/SERVER_NATIVE_WORKFLOW.md
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| 63 |
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b531ba7d83cd1d65dcd67ca457a5af690ffec1d7ed022653e4301b39f85b21f6 docs/REPRODUCTION_RUN_2026-07-22.md
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3d85f05d34ff3790567da721bbe7dd0aacad90583f6d6153fbbc85a72540b576 scripts/migrate_fidelity_screen_manifests.py
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| 70 |
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fb9af8f0d13b8c2a359c69e04a801a4d41662a61ecaf9a772948464822bb2e9c scripts/server/run-fidelity-preflight-queue
|
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9ea8feebe9fd32bd12f6b61b963e6729e9690d2c4abfc68fe0309b27d69babd7 scripts/server/run-swerv-repair-probes
|
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1f753e66a54951ea24444e71c931e211fdf65ae77522e95c755a34c11695e5ec scripts/server/guard-swerv-wl300-timeout-extension.py
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695864a3bbb77699fdaac1e32422daf7904519a90867279c42f38c6892515c06 scripts/server/ppaplace-mor1kx-halo15-b200-recovery.service
|
| 75 |
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53dace7fb40f97a32c3c96a69c51801faa182a3125bbf5e5e6f4e332bacfea69 scripts/server/run-mor1kx-certified-routing-handoff
|
| 76 |
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57a6167915c8d85132f75740c3277a8913692fc3dead0e229364704044835c6b scripts/server/ppaplace-mor1kx-certified-routing-handoff.service
|
| 77 |
+
990798d79abb028e6319e8f6fe0304963fe353193cb8045576ef123995c5df34 tests/test_fidelity_position_identity.py
|
| 78 |
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4bb2bd31c29da83f6debcac5bd3ae91bf528eb5ba4f235a3616c292f6e79b79a tests/test_freeze_training_snapshot.py
|
| 79 |
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a23d233dece943342838a38b815b51a50efb48dbb8d579f02f327c3c9f2cf8ed tests/test_certify_frozen_training_snapshot.py
|
| 80 |
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789e7946d515b5a7565736d9d916e5930aab94cf57d4a08fac57139580c6d914 tests/test_mixed_size_features.py
|
| 81 |
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36cf6afdbffcf40cc86df3cefbbfa9251383c2bd719c76b8e1540724acbeda7b tests/test_training_position_identity.py
|
metadata/workflow_sources.tar.gz
ADDED
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:61ff7fa18b1f94fcb074193475d41446255762a8c599e56912a80d844783abd0
|
| 3 |
+
size 740674
|
metadata/working_tree.patch
ADDED
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release_manifest.json
ADDED
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| 1 |
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samples.csv
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samples.jsonl
ADDED
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|
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