Additional details and impacted files

\\n\\n\\n\\n```diff\\n@@ Coverage Diff @@\\n## master #732 +/- ##\\n==========================================\\n+ Coverage 35.44% 35.96% +0.51% \\n==========================================\\n Files 214 214 \\n Lines 36049 33448 -2601 \\n Branches 13400 13409 +9 \\n==========================================\\n- Hits 12778 12029 -749 \\n+ Misses 21225 19459 -1766 \\n+ Partials 2046 1960 -86 \\n```\\n

\\n\\n[:umbrella: View full report in Codecov by Sentry](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?dropdown=coverage&src=pr&el=continue&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev). \\n:loudspeaker: Have feedback on the report? [Share it here](https://about.codecov.io/codecov-pr-comment-feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev).\\n

:rocket: New features to boost your workflow:

\\n\\n- :snowflake: [Test Analytics](https://docs.codecov.com/docs/test-analytics): Detect flaky tests, report on failures, and find test suite problems.\\n- :package: [JS Bundle Analysis](https://docs.codecov.com/docs/javascript-bundle-analysis): Save yourself from yourself by tracking and limiting bundle sizes in JS merges.\\n

\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Guard BlockFermionic Eig against missing column bond**\\n\\nThis new BlockFermionic path indexes `Tin.bonds()[Tin.rowrank()]` without validating that at least one column bond exists. If `rowrank == rank` (which is currently not rejected in `Eig(const UniTensor&, ...)`), this becomes an out-of-bounds read and can crash/UB instead of returning a clean argument error. Please add an explicit `rowrank < rank` check before entering this block path (the same pattern is also duplicated in the new fermionic Eigh implementation).\\n\\nUseful? React with 👍 / 👎.\",\"path\":\"src/linalg/Eig.cpp\",\"side\":\"RIGHT\",\"line\":327}{\"type\":\"pull_request_comment\",\"body\":\"**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Respect row_v when rebuilding fermionic eigenvector blocks**\\n\\nThe fermionic reconstruction always does `Vsplit_` on `out[1]` using row-block sizes, which only matches the column-vector layout. In the `!row_v` branch of tensor `Eig`, eigenvectors are returned in row form, so splitting on rows assigns qindices/reshapes along the wrong axis and produces incorrect eigenvector block structure (this affects the default `row_v` value). The split/remap logic needs to branch on `row_v` (and the same issue appears in the copied fermionic Eigh code).\\n\\nUseful? React with 👍 / 👎.\",\"path\":\"src/linalg/Eig.cpp\",\"side\":\"RIGHT\",\"line\":415}{\"type\":\"pull_request_comment\",\"body\":\"\\n### 💡 Codex Review\\n\\nHere are some automated review suggestions for this pull request.\\n\\n**Reviewed commit:** `8ca1b01b1d`\\n \\n\\n

ℹ️ About Codex in GitHub

\\n
\\n\\nCodex has been enabled to automatically review pull requests in this repo. Reviews are triggered when you\\n- Open a pull request for review\\n- Mark a draft as ready\\n- Comment \\\"@codex review\\\".\\n\\nIf Codex has suggestions, it will comment; otherwise it will react with 👍.\\n\\n\\n\\n\\nWhen you [sign up for Codex through ChatGPT](https://openai.com/codex), Codex can also answer questions or update the PR, like \\\"@codex address that feedback\\\".\\n \\n

\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"How about to ask AI to create some tests which also cover the problem that AI pointed out?\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"fixed in 0f64e0fce2139910922bbb3cb90b58ad95cd7ebe\",\"path\":\"src/linalg/Eig.cpp\",\"side\":\"RIGHT\",\"line\":327}{\"type\":\"pull_request_comment\",\"body\":\"This is a bug in `Eig` and `Eigh` that already existed for `BlockUniTensor`. I created a new issue for it, see #782. For now, I throw an error message if `!row_v`.\",\"path\":\"src/linalg/Eig.cpp\",\"side\":\"RIGHT\",\"line\":415}{\"type\":\"pull_request_comment\",\"body\":\"\\n### 💡 Codex Review\\n\\nHere are some automated review suggestions for this pull request.\\n\\n**Reviewed commit:** `a7deb36534`\\n \\n\\n

ℹ️ About Codex in GitHub

\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Restore default row_v path for block eigendecompositions**\\n\\n`linalg::Eig`/`linalg::Eigh` for `UniTensor` default `row_v` to `false` (column-vector output), but the new block paths now immediately throw when `row_v == false`. This makes default calls like `linalg::Eig(block_ut)` fail for `BlockUniTensor` even though they previously ran, so existing callers regress at runtime unless they explicitly override `row_v`. If column-form reconstruction is not ready yet, this should be gated only where needed (or defaults/docs updated consistently) rather than breaking the default API path.\\n\\nUseful? React with 👍 / 👎.\",\"path\":\"src/linalg/Eig.cpp\",\"side\":\"RIGHT\",\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"\\n### 💡 Codex Review\\n\\nHere are some automated review suggestions for this pull request.\\n\\n**Reviewed commit:** `900ee1a9f4`\\n \\n\\n

ℹ️ About Codex in GitHub

\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Gate row_v validation on is_V in block Eig**\\n\\nThis check throws whenever `row_v` is true, but `row_v` is irrelevant when `is_V == false` because no eigenvector tensor is produced. As written, eigenvalue-only calls like `linalg::Eig(block_ut, false, true)` now fail even though they do not exercise the unsupported eigenvector layout path. Please guard this as `is_V && row_v` (the same pattern also appears in the BlockFermionic helper).\\n\\nUseful? React with 👍 / 👎.\",\"path\":\"src/linalg/Eig.cpp\",\"side\":\"RIGHT\",\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Gate row_v validation on is_V in block Eigh**\\n\\nThe `row_v` guard is unconditional here as well, so `linalg::Eigh(block_ut, false, true)` now raises even though no eigenvectors are requested and the row/column orientation flag is unused. This is a behavior regression for eigenvalue-only calls; the guard should be conditioned on `is_V && row_v` (and likewise in the BlockFermionic variant).\\n\\nUseful? React with 👍 / 👎.\",\"path\":\"src/linalg/Eigh.cpp\",\"side\":\"RIGHT\",\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"> Posted by Claude Code on behalf of @pcchen\\n\\n## PR #732 Review: Linear algebra functions for fermions\\n\\n### Overview\\n\\nThis PR implements `Eig`, `Eigh`, `Gesvd_truncate`, and `Qr` for `BlockFermionicUniTensor`, completing fermionic support for these core linalg operations. It also includes widespread cleanup across all linalg files: removing `using namespace std`, renaming internal helpers to `static` functions with `_internal` suffixes, removing split namespace blocks, and improving error messages uniformly.\\n\\n---\\n\\n### Correctness\\n\\n**Core fermionic logic (sign-flip handling):**\\n- The sign-flip approach in all four new `_BlockFermionic_UT_internal` functions is consistent: blocks with `signflip[b] == true` are negated (`Tlist[i] = -Tlist[i]`) before being assembled into the big block matrix. This matches the pattern established in the existing `Gesvd` implementation. The approach is correct for Hermitian/symmetric matrices (`Eigh`) since negating a block still yields a Hermitian block.\\n- For general `Eig` (non-Hermitian case), negating a row-block before assembly is also correct.\\n\\n**Output `_signflip` always set to `false`:**\\n- In `Eig_BlockFermionic_UT_internal`, `Eigh_BlockFermionic_UT_internal`, and `Qr_BlockFermionic_UT_internal`, the output eigenvector/Q/R matrices are created with `_signflip = std::vector(v_blocks.size(), false)`. This is correct because the sign has already been absorbed into the numerical values, so the returned UniTensors carry no pending sign-flip.\\n\\n**Potential issue — `Eig` with `is_V=true`, column index into `v_itoi`:**\\n\\nIn `Eig_BlockFermionic_UT_internal`, the `is_V` branch does:\\n```cpp\\nv_itoi.back()[Tin.rowrank()] = e_blocks.size() - 1;\\nv_itoi.back().resize(Tin.rowrank() + 1);\\n```\\n`v_itoi.back()` is populated from `Tin.get_qindices(...)`, which has `Tin.rank()` elements. The assignment `[Tin.rowrank()]` sets the aux-bond index, and `resize` truncates to `rowrank + 1`. This mirrors `Eig_Block_UT_internal` exactly, so it appears correct — but worth verifying that `Tin.get_qindices(b)` returns a copy (not a reference that would mutate the original tensor's index table).\\n\\n**`Gesvd_truncate`: merging Block and BlockFermionic paths:**\\n- The old `_gesvd_truncate_BlockFermionic_UT` and `_gesvd_truncate_Block_UT` are replaced by a single `Gesvd_truncate_Block_UTs_internal` that handles both by checking `Tin.uten_type() == UTenType.BlockFermionic` when calling `vec_erase_(...signflip_...)`. This is clean and reduces duplication significantly.\\n- The `to_be_removed.empty()` guard added around all `vec_erase_` calls is a genuine bug fix — previously this would call `vec_erase_` with an empty list on every pass.\\n\\n---\\n\\n### Code Quality\\n\\n**Positive changes:**\\n- Removing `using namespace std` and replacing with `std::` qualifiers throughout — good hygiene.\\n- Renaming `_Eig_Dense_UT` → `Eig_Dense_UT_internal` (with `static`) is better practice than the leading-underscore naming convention.\\n- Collapsing double `namespace cytnx { namespace linalg { ... } }` patterns into single nested blocks.\\n- Improving error messages with actual values (`rank is %d`) rather than just descriptions.\\n\\n**Issues and suggestions:**\\n\\n1. **Significant code duplication.** `Eig_BlockFermionic_UT_internal` and `Eigh_BlockFermionic_UT_internal` are near-identical; the only difference is the call to `linalg::Eig` vs `linalg::Eigh`. Similarly, `Qr_BlockFermionic_UT_internal` duplicates the block-combination boilerplate. The PR does add \\\"Exactly the same as ... with Eig() → Eigh()\\\" comments which is helpful, but the duplicated code is a maintenance burden going forward.\\n\\n2. **Leftover commented-out debug code.** Several places retain commented-out `std::cout` statements and dead code:\\n - `Eig.cpp` / `Eigh.cpp`: `// std::cout << BdLeft << std::endl;`, `// std::cout << strides << std::endl;`, etc.\\n - `Eig.cpp` `is_V` block: `// std::cout << out[tr].shape() << std::endl;` — note `tr` isn't declared in that scope (copy-paste artifact from `Gesvd`), harmless since it's in a comment but worth removing.\\n - Commented-out alternatives like `// Tlist[i] = Tlist[i].Mul(-1);` and stubs like `// vec2d vT_itoi;` should be removed.\\n\\n3. **`Rsvd_truncate.cpp` residual `};`:**\\n ```cpp\\n }; // Rsvd_truncate_Dense_UT_internal\\n ```\\n The trailing semicolon after `}` is harmless but inconsistent with how all other functions were cleaned up in this PR. Minor.\\n\\n4. **`resize` after assignment in `v_itoi`:** In both `Eig` and `Eigh` fermionic internals, `resize` is called *after* writing to `v_itoi.back()[Tin.rowrank()]`. This is correct since `rowrank < rank` is validated, but the order (write then truncate) is slightly fragile. Resizing first and then assigning would be clearer.\\n\\n---\\n\\n### Test Coverage\\n\\n- Two new error-case tests (`err_rowrank_equal_rank_dense_UT`) added for `Svd` and `Gesvd` — good.\\n- Two new `Eig`/`Eigh` row-v tests added in `linalg_test.cpp`.\\n- **Missing:** No tests exercise the new fermionic code paths (`Eig_BlockFermionic_UT_internal`, `Eigh_BlockFermionic_UT_internal`, `Qr_BlockFermionic_UT_internal`) directly. Given the complexity of sign-flip handling, at minimum one round-trip correctness test for each new fermionic function would be valuable before merge.\\n\\n---\\n\\n### Summary\\n\\nThe core logic is sound and the cleanup is a genuine improvement. Main asks before merge:\\n\\n1. Remove dead/commented-out debug code.\\n2. Add at least basic fermionic round-trip tests for the newly implemented functions.\\n3. (Minor) Fix the residual `};` in `Rsvd_truncate.cpp`.\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"Cleaned up the code and included suggestions. Could someone use AI support to write unit tests?\",\"path\":null,\"side\":null,\"line\":null}","text_elements",[],{"_483":1260,"_470":471,"_485":473},{"_486":1261,"_488":-5,"_41":-5,"_489":-5,"_95":301,"_91":491},[1262],{"_45":1256,"_91":1263},"input_text","turn/started",{"_470":471,"_86":1266},{"_102":-5,"_41":473,"_474":1267,"_476":1268},[],"inProgress",{"_476":1270,"_470":471},{"_1271":1272,"_91":1273},"activeFlags",[],"active",{"_483":1275,"_470":471,"_485":1276},{"_486":1277,"_488":-5,"_41":-5,"_489":-5,"_95":301,"_91":491},"auto-compact-0",[1278,1279],{"_45":1281,"_91":1263},{"_45":1280,"_91":1263},"\n /workspace/Cytnx\n bash\n 2026-04-27\n Etc/UTC\n","# AGENTS.md instructions for /workspace/Cytnx\n\n\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /opt/codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /opt/codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n 1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n 2) When `SKILL.md` references relative paths (e.g., `scripts/foo.py`), resolve them relative to the skill directory listed above first, and only consider other paths if needed.\n 3) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n 4) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n 5) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.\n",{"_483":1283,"_470":471,"_485":1276},{"_486":1284,"_488":-5,"_41":-5,"_489":-5,"_95":1285,"_91":491},[1286],"developer",{"_45":1287,"_91":1263},"\nFilesystem sandboxing defines which files can be read or written. `sandbox_mode` is `danger-full-access`: No filesystem sandboxing - all commands are permitted. Network access is enabled.\nApproval policy is currently never. Do not provide the `sandbox_permissions` for any reason, commands will be rejected.\n","thread/started",{"_1290":1291},"thread",{"_1292":-5,"_1293":-5,"_1294":1295,"_1296":1297,"_566":567,"_1298":15,"_1299":-5,"_1300":-5,"_41":471,"_1301":1302,"_166":-5,"_156":1303,"_1304":180,"_571":1305,"_476":1306,"_76":1307,"_1308":1297},"agentNickname","agentRole","cliVersion","0.114.0","createdAt",1777273449,"ephemeral","forkedFromId","gitInfo","modelProvider","openai","/opt/codex/sessions/2026/04/27/rollout-2026-04-27T07-04-09-019dcdc0-ab2d-7ea3-aa8d-02b50cb9ffe0.jsonl","preview","vscode",{"_91":480},[],"updatedAt",[],"messages",[1312],{"_41":1313,"_1314":1315,"_1316":1317,"_1318":1317,"_486":1319,"_476":1320,"_488":-5,"_1321":31,"_1322":1323,"_1324":1325,"_1326":-5},"77f906ff-6e17-4816-80c4-1819d43f6cdb","author",{"_95":301,"_166":-5,"_1322":1335},"create_time",1777273448.80709,"update_time",{"_1331":45,"_1332":1333},"finished_successfully","weight","metadata",{"_1327":1328},"recipient","all","channel","l1239dk1",{"_1329":1330},"inline_comments",[],"content_type","parts",[1334],"You can probably directly ask @codex to write the tests?\nLinear algebra functions for fermions\n\nImplementation of `Eig`, `Eigh`, `Gesvd_truncate` for fermionic tensors\n## [Codecov](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?dropdown=coverage&src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) Report\n:x: Patch coverage is `24.52830%` with `440 lines` in your changes missing coverage. Please review.\n:white_check_mark: Project coverage is 35.96%. Comparing base ([`b8dc7a9`](https://app.codecov.io/gh/Cytnx-dev/Cytnx/commit/b8dc7a96ff66c58d63dcc92ddc457cf8b1bcb531?dropdown=coverage&el=desc&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev)) to head ([`69b6a00`](https://app.codecov.io/gh/Cytnx-dev/Cytnx/commit/69b6a00df6fbb6cbbc0ebb2e894ba095b99c4235?dropdown=coverage&el=desc&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev)).\n:warning: Report is 1 commits behind head on master.\n\n| [Files with missing lines](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?dropdown=coverage&src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) | Patch % | Lines |\n|---|---|---|\n| [src/linalg/Qr.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FQr.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9Rci5jcHA=) | 3.16% | [153 Missing :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/Eig.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FEig.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9FaWcuY3Bw) | 11.53% | [112 Missing and 3 partials :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/Eigh.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FEigh.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9FaWdoLmNwcA==) | 12.21% | [112 Missing and 3 partials :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/Gesvd\\_truncate.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FGesvd_truncate.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9HZXN2ZF90cnVuY2F0ZS5jcHA=) | 50.98% | [10 Missing and 15 partials :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/Svd\\_truncate.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FSvd_truncate.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9TdmRfdHJ1bmNhdGUuY3Bw) | 75.00% | [8 Missing and 3 partials :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/Qdr.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FQdr.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9RZHIuY3Bw) | 0.00% | [7 Missing :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/InvM.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FInvM.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9JbnZNLmNwcA==) | 50.00% | [0 Missing and 3 partials :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/InvM\\_.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FInvM_.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9JbnZNXy5jcHA=) | 50.00% | [0 Missing and 3 partials :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/Rsvd.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FRsvd.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9Sc3ZkLmNwcA==) | 50.00% | [0 Missing and 3 partials :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/Svd.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FSvd.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9TdmQuY3Bw) | 85.00% | [2 Missing and 1 partial :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| ... and [2 more](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) | |\n\n

Additional details and impacted files

\n\n\n\n```diff\n@@ Coverage Diff @@\n## master #732 +/- ##\n==========================================\n+ Coverage 35.44% 35.96% +0.51% \n==========================================\n Files 214 214 \n Lines 36049 33448 -2601 \n Branches 13400 13409 +9 \n==========================================\n- Hits 12778 12029 -749 \n+ Misses 21225 19459 -1766 \n+ Partials 2046 1960 -86 \n```\n

\n\n[:umbrella: View full report in Codecov by Sentry](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?dropdown=coverage&src=pr&el=continue&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev). \n:loudspeaker: Have feedback on the report? [Share it here](https://about.codecov.io/codecov-pr-comment-feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev).\n

:rocket: New features to boost your workflow:

\n\n- :snowflake: [Test Analytics](https://docs.codecov.com/docs/test-analytics): Detect flaky tests, report on failures, and find test suite problems.\n- :package: [JS Bundle Analysis](https://docs.codecov.com/docs/javascript-bundle-analysis): Save yourself from yourself by tracking and limiting bundle sizes in JS merges.\n

\n**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Guard BlockFermionic Eig against missing column bond**\n\nThis new BlockFermionic path indexes `Tin.bonds()[Tin.rowrank()]` without validating that at least one column bond exists. If `rowrank == rank` (which is currently not rejected in `Eig(const UniTensor&, ...)`), this becomes an out-of-bounds read and can crash/UB instead of returning a clean argument error. Please add an explicit `rowrank < rank` check before entering this block path (the same pattern is also duplicated in the new fermionic Eigh implementation).\n\nUseful? React with 👍 / 👎.\n**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Respect row_v when rebuilding fermionic eigenvector blocks**\n\nThe fermionic reconstruction always does `Vsplit_` on `out[1]` using row-block sizes, which only matches the column-vector layout. In the `!row_v` branch of tensor `Eig`, eigenvectors are returned in row form, so splitting on rows assigns qindices/reshapes along the wrong axis and produces incorrect eigenvector block structure (this affects the default `row_v` value). The split/remap logic needs to branch on `row_v` (and the same issue appears in the copied fermionic Eigh code).\n\nUseful? React with 👍 / 👎.\n\n### 💡 Codex Review\n\nHere are some automated review suggestions for this pull request.\n\n**Reviewed commit:** `8ca1b01b1d`\n \n\n

ℹ️ About Codex in GitHub

\n
\n\nCodex has been enabled to automatically review pull requests in this repo. Reviews are triggered when you\n- Open a pull request for review\n- Mark a draft as ready\n- Comment \"@codex review\".\n\nIf Codex has suggestions, it will comment; otherwise it will react with 👍.\n\n\n\n\nWhen you [sign up for Codex through ChatGPT](https://openai.com/codex), Codex can also answer questions or update the PR, like \"@codex address that feedback\".\n \n

\nHow about to ask AI to create some tests which also cover the problem that AI pointed out?\nfixed in 0f64e0fce2139910922bbb3cb90b58ad95cd7ebe\nThis is a bug in `Eig` and `Eigh` that already existed for `BlockUniTensor`. I created a new issue for it, see #782. For now, I throw an error message if `!row_v`.\n\n### 💡 Codex Review\n\nHere are some automated review suggestions for this pull request.\n\n**Reviewed commit:** `a7deb36534`\n \n\n

ℹ️ About Codex in GitHub

\n**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Restore default row_v path for block eigendecompositions**\n\n`linalg::Eig`/`linalg::Eigh` for `UniTensor` default `row_v` to `false` (column-vector output), but the new block paths now immediately throw when `row_v == false`. This makes default calls like `linalg::Eig(block_ut)` fail for `BlockUniTensor` even though they previously ran, so existing callers regress at runtime unless they explicitly override `row_v`. If column-form reconstruction is not ready yet, this should be gated only where needed (or defaults/docs updated consistently) rather than breaking the default API path.\n\nUseful? React with 👍 / 👎.\n\n### 💡 Codex Review\n\nHere are some automated review suggestions for this pull request.\n\n**Reviewed commit:** `900ee1a9f4`\n \n\n

ℹ️ About Codex in GitHub

\n**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Gate row_v validation on is_V in block Eig**\n\nThis check throws whenever `row_v` is true, but `row_v` is irrelevant when `is_V == false` because no eigenvector tensor is produced. As written, eigenvalue-only calls like `linalg::Eig(block_ut, false, true)` now fail even though they do not exercise the unsupported eigenvector layout path. Please guard this as `is_V && row_v` (the same pattern also appears in the BlockFermionic helper).\n\nUseful? React with 👍 / 👎.\n**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Gate row_v validation on is_V in block Eigh**\n\nThe `row_v` guard is unconditional here as well, so `linalg::Eigh(block_ut, false, true)` now raises even though no eigenvectors are requested and the row/column orientation flag is unused. This is a behavior regression for eigenvalue-only calls; the guard should be conditioned on `is_V && row_v` (and likewise in the BlockFermionic variant).\n\nUseful? React with 👍 / 👎.\n> Posted by Claude Code on behalf of @pcchen\n\n## PR #732 Review: Linear algebra functions for fermions\n\n### Overview\n\nThis PR implements `Eig`, `Eigh`, `Gesvd_truncate`, and `Qr` for `BlockFermionicUniTensor`, completing fermionic support for these core linalg operations. It also includes widespread cleanup across all linalg files: removing `using namespace std`, renaming internal helpers to `static` functions with `_internal` suffixes, removing split namespace blocks, and improving error messages uniformly.\n\n---\n\n### Correctness\n\n**Core fermionic logic (sign-flip handling):**\n- The sign-flip approach in all four new `_BlockFermionic_UT_internal` functions is consistent: blocks with `signflip[b] == true` are negated (`Tlist[i] = -Tlist[i]`) before being assembled into the big block matrix. This matches the pattern established in the existing `Gesvd` implementation. The approach is correct for Hermitian/symmetric matrices (`Eigh`) since negating a block still yields a Hermitian block.\n- For general `Eig` (non-Hermitian case), negating a row-block before assembly is also correct.\n\n**Output `_signflip` always set to `false`:**\n- In `Eig_BlockFermionic_UT_internal`, `Eigh_BlockFermionic_UT_internal`, and `Qr_BlockFermionic_UT_internal`, the output eigenvector/Q/R matrices are created with `_signflip = std::vector(v_blocks.size(), false)`. This is correct because the sign has already been absorbed into the numerical values, so the returned UniTensors carry no pending sign-flip.\n\n**Potential issue — `Eig` with `is_V=true`, column index into `v_itoi`:**\n\nIn `Eig_BlockFermionic_UT_internal`, the `is_V` branch does:\n```cpp\nv_itoi.back()[Tin.rowrank()] = e_blocks.size() - 1;\nv_itoi.back().resize(Tin.rowrank() + 1);\n```\n`v_itoi.back()` is populated from `Tin.get_qindices(...)`, which has `Tin.rank()` elements. The assignment `[Tin.rowrank()]` sets the aux-bond index, and `resize` truncates to `rowrank + 1`. This mirrors `Eig_Block_UT_internal` exactly, so it appears correct — but worth verifying that `Tin.get_qindices(b)` returns a copy (not a reference that would mutate the original tensor's index table).\n\n**`Gesvd_truncate`: merging Block and BlockFermionic paths:**\n- The old `_gesvd_truncate_BlockFermionic_UT` and `_gesvd_truncate_Block_UT` are replaced by a single `Gesvd_truncate_Block_UTs_internal` that handles both by checking `Tin.uten_type() == UTenType.BlockFermionic` when calling `vec_erase_(...signflip_...)`. This is clean and reduces duplication significantly.\n- The `to_be_removed.empty()` guard added around all `vec_erase_` calls is a genuine bug fix — previously this would call `vec_erase_` with an empty list on every pass.\n\n---\n\n### Code Quality\n\n**Positive changes:**\n- Removing `using namespace std` and replacing with `std::` qualifiers throughout — good hygiene.\n- Renaming `_Eig_Dense_UT` → `Eig_Dense_UT_internal` (with `static`) is better practice than the leading-underscore naming convention.\n- Collapsing double `namespace cytnx { namespace linalg { ... } }` patterns into single nested blocks.\n- Improving error messages with actual values (`rank is %d`) rather than just descriptions.\n\n**Issues and suggestions:**\n\n1. **Significant code duplication.** `Eig_BlockFermionic_UT_internal` and `Eigh_BlockFermionic_UT_internal` are near-identical; the only difference is the call to `linalg::Eig` vs `linalg::Eigh`. Similarly, `Qr_BlockFermionic_UT_internal` duplicates the block-combination boilerplate. The PR does add \"Exactly the same as ... with Eig() → Eigh()\" comments which is helpful, but the duplicated code is a maintenance burden going forward.\n\n2. **Leftover commented-out debug code.** Several places retain commented-out `std::cout` statements and dead code:\n - `Eig.cpp` / `Eigh.cpp`: `// std::cout << BdLeft << std::endl;`, `// std::cout << strides << std::endl;`, etc.\n - `Eig.cpp` `is_V` block: `// std::cout << out[tr].shape() << std::endl;` — note `tr` isn't declared in that scope (copy-paste artifact from `Gesvd`), harmless since it's in a comment but worth removing.\n - Commented-out alternatives like `// Tlist[i] = Tlist[i].Mul(-1);` and stubs like `// vec2d vT_itoi;` should be removed.\n\n3. **`Rsvd_truncate.cpp` residual `};`:**\n ```cpp\n }; // Rsvd_truncate_Dense_UT_internal\n ```\n The trailing semicolon after `}` is harmless but inconsistent with how all other functions were cleaned up in this PR. Minor.\n\n4. **`resize` after assignment in `v_itoi`:** In both `Eig` and `Eigh` fermionic internals, `resize` is called *after* writing to `v_itoi.back()[Tin.rowrank()]`. This is correct since `rowrank < rank` is validated, but the order (write then truncate) is slightly fragile. Resizing first and then assigning would be clearer.\n\n---\n\n### Test Coverage\n\n- Two new error-case tests (`err_rowrank_equal_rank_dense_UT`) added for `Svd` and `Gesvd` — good.\n- Two new `Eig`/`Eigh` row-v tests added in `linalg_test.cpp`.\n- **Missing:** No tests exercise the new fermionic code paths (`Eig_BlockFermionic_UT_internal`, `Eigh_BlockFermionic_UT_internal`, `Qr_BlockFermionic_UT_internal`) directly. Given the complexity of sign-flip handling, at minimum one round-trip correctness test for each new fermionic function would be valuable before merge.\n\n---\n\n### Summary\n\nThe core logic is sound and the cleanup is a genuine improvement. Main asks before merge:\n\n1. Remove dead/commented-out debug code.\n2. Add at least basic fermionic round-trip tests for the newly implemented functions.\n3. (Minor) Fix the residual `};` in `Rsvd_truncate.cpp`.\nCleaned up the code and included suggestions. Could someone use AI support to write unit tests?",{},"created",1777273636.0131326,"Completing the task","event_type","info",{"_91":491,"_95":92,"_486":1372},{"_91":1369,"_1370":1371},{"_91":1344,"_1345":1346,"_1347":1348,"_1349":1350,"_1351":-5},"pr","pr_title","Add regression tests and gate row_v checks for block Eig/Eigh (eigenvalue-only path)","pr_message","### Motivation\n- Prevent a regression where eigenvalue-only calls (no eigenvectors requested) to `linalg::Eig`/`linalg::Eigh` on Block/BlockFermionic UniTensors failed because `row_v` was validated unconditionally. \n- Ensure `rowrank < rank` validation and eigenvalue-only behavior for fermionic block tensors are covered by tests to catch future breakage.\n\n### Description\n- Change guard logic in `src/linalg/Eig.cpp` and `src/linalg/Eigh.cpp` so the unsupported `row_v=true` case is rejected only when eigenvectors are requested by checking `is_V && row_v` in both Block and BlockFermionic code paths. \n- Add unit tests in `tests/linalg_test/linalg_test.cpp` that assert eigenvalue-only calls (`is_V=false`) with `row_v=true` do not throw for block UniTensors. \n- Add unit tests in `tests/BlockFermionicUniTensor_test.cpp` that (1) assert `rowrank==rank` is rejected for `Eig`/`Eigh` and (2) verify eigenvalue-only calls with `row_v=true` succeed for `BlockFermionicUniTensor`. \n- Keep other existing behavior unchanged; the new tests exercise the guard-change and block/fermionic edge-cases only.\n\n### Testing\n- Attempted to configure the project with `cmake -S . -B build -DBUILD_TESTS=ON` but configuration failed due to missing Boost CMake package metadata (`BoostConfig.cmake` / `boost-config.cmake`), so the test suite could not be built or executed in this environment. \n- No other automated test runs completed here; the changes include new gtest cases which will run in CI once dependencies are available and the test build succeeds.","output_diff",{"_91":1349,"_1352":567,"_127":128,"_1353":-5,"_300":1354,"_1355":1356,"_1357":1358,"_1359":1360,"_1361":199,"_1362":1363,"_1364":1365},"pre_apply_patch","repo_id","preapply_patch_base_commit_sha","diff --git a/src/linalg/Eig.cpp b/src/linalg/Eig.cpp\nindex b6cf4a073819f7a51980a84fa9724e5f27aa28e7..0a1567ea1d5ae9d951ec458c7fb03a5429c0dd22 100644\n--- a/src/linalg/Eig.cpp\n+++ b/src/linalg/Eig.cpp\n@@ -289,51 +289,51 @@ namespace cytnx {\n v_ptr->_labels.push_back(Tin.labels()[i]);\n }\n v_ptr->_bonds.push_back(Bd_aux.redirect());\n v_ptr->_labels.push_back(\"_aux_L\");\n v_ptr->_rowrank = Tin.rowrank();\n v_ptr->_is_diag = false;\n v_ptr->_is_braket_form = v_ptr->_update_braket();\n v_ptr->_inner_to_outer_idx = v_itoi;\n v_ptr->_blocks = v_blocks;\n UniTensor V;\n V._impl = boost::intrusive_ptr(v_ptr);\n outCyT.push_back(V);\n }\n } // Eig_Block_UT_internal\n \n static void Eig_BlockFermionic_UT_internal(std::vector &outCyT,\n const UniTensor &Tin, const bool &is_V,\n const bool &row_v) {\n // outCyT must be empty and Tin must be checked with proper rowrank!\n \n // 1) getting the combineBond L and combineBond R for qnum list without grouping:\n //\n // BDLeft -[ ]- BDRight\n //\n cytnx_error_msg(\n- row_v,\n+ is_V && row_v,\n \"[ERROR] Currently Eig with row_v = true is not supported for BlockFermionicUniTensor.%s\",\n \"\\n\");\n \n std::vector strides;\n std::vector signflip = Tin.signflip();\n strides.reserve(Tin.rank());\n auto BdLeft = Tin.bonds()[0].clone();\n for (int i = 1; i < Tin.rowrank(); i++) {\n strides.push_back(Tin.bonds()[i].qnums().size());\n BdLeft._impl->force_combineBond_(Tin.bonds()[i]._impl, false); // no grouping\n }\n strides.push_back(1);\n auto BdRight = Tin.bonds()[Tin.rowrank()].clone();\n for (int i = Tin.rowrank() + 1; i < Tin.rank(); i++) {\n strides.push_back(Tin.bonds()[i].qnums().size());\n BdRight._impl->force_combineBond_(Tin.bonds()[i]._impl, false); // no grouping\n }\n strides.push_back(1);\n \n // 2) making new inner_to_outer_idx lists for each block:\n // -> a. get stride:\n for (int i = Tin.rowrank() - 2; i >= 0; i--) {\n strides[i] *= strides[i + 1];\n }\n for (int i = Tin.rank() - 2; i >= Tin.rowrank(); i--) {\ndiff --git a/src/linalg/Eigh.cpp b/src/linalg/Eigh.cpp\nindex 4b1d329a6974093735134cf5e6be84986836174b..18bd230cc1394c332ffb87ca34a9f4ed5d63f76a 100644\n--- a/src/linalg/Eigh.cpp\n+++ b/src/linalg/Eigh.cpp\n@@ -277,51 +277,51 @@ namespace cytnx {\n }\n v_ptr->_bonds.push_back(Bd_aux.redirect());\n v_ptr->_labels.push_back(\"_aux_L\");\n v_ptr->_rowrank = Tin.rowrank();\n v_ptr->_is_diag = false;\n v_ptr->_is_braket_form = v_ptr->_update_braket();\n v_ptr->_inner_to_outer_idx = v_itoi;\n v_ptr->_blocks = v_blocks;\n UniTensor V;\n V._impl = boost::intrusive_ptr(v_ptr);\n outCyT.push_back(V);\n }\n } // Eigh_Block_UT_internal\n \n static void Eigh_BlockFermionic_UT_internal(std::vector &outCyT,\n const UniTensor &Tin, const bool &is_V,\n const bool &row_v) {\n // Exactly the same as Eig_BlockFermionic_UT_internal with Eig() -> Eigh()\n // outCyT must be empty and Tin must be checked with proper rowrank!\n \n // 1) getting the combineBond L and combineBond R for qnum list without grouping:\n //\n // BDLeft -[ ]- BDRight\n //\n cytnx_error_msg(\n- row_v,\n+ is_V && row_v,\n \"[ERROR] Currently Eigh with row_v = true is not supported for BlockFermionicUniTensor.%s\",\n \"\\n\");\n \n std::vector strides;\n std::vector signflip = Tin.signflip();\n strides.reserve(Tin.rank());\n auto BdLeft = Tin.bonds()[0].clone();\n for (int i = 1; i < Tin.rowrank(); i++) {\n strides.push_back(Tin.bonds()[i].qnums().size());\n BdLeft._impl->force_combineBond_(Tin.bonds()[i]._impl, false); // no grouping\n }\n strides.push_back(1);\n auto BdRight = Tin.bonds()[Tin.rowrank()].clone();\n for (int i = Tin.rowrank() + 1; i < Tin.rank(); i++) {\n strides.push_back(Tin.bonds()[i].qnums().size());\n BdRight._impl->force_combineBond_(Tin.bonds()[i]._impl, false); // no grouping\n }\n strides.push_back(1);\n \n // 2) making new inner_to_outer_idx lists for each block:\n // -> a. get stride:\n for (int i = Tin.rowrank() - 2; i >= 0; i--) {\n strides[i] *= strides[i + 1];\n }\n for (int i = Tin.rank() - 2; i >= Tin.rowrank(); i--) {\ndiff --git a/tests/BlockFermionicUniTensor_test.cpp b/tests/BlockFermionicUniTensor_test.cpp\nindex a76962a47be9a3e749ff772f95b4746db87794e1..76d36115e27ab10b6db7a0f9741f9d254a3b0001 100644\n--- a/tests/BlockFermionicUniTensor_test.cpp\n+++ b/tests/BlockFermionicUniTensor_test.cpp\n@@ -125,50 +125,74 @@ TEST_F(BlockFermionicUniTensorTest, SvdUnitaryAndReconstruction) {\n UniTensor vTvTdag = Contract(vT.fermion_twists(), vTdag);\n UniTensor Iv = 0. * vTvTdag.clone(); // will be identity matrix\n auto shape_v = Iv.shape();\n for (cytnx_uint64 k = 0; k < shape_v[0]; k++) {\n auto proxy = Iv.at({k, k});\n proxy = 1.0;\n }\n EXPECT_TRUE(AreNearlyEqUniTensor(vTvTdag.apply(), Iv, tol));\n \n // Check U^dagger * BFUT5 * V^dagger = S (where V^dagger is returned as vT).\n UniTensor Scontr = Contract(Contract(Udag.fermion_twists(), BFUT5.fermion_twists()), vTdag);\n Scontr.relabel_(\"_aux_L_dag\", \"_aux_L\");\n Scontr.relabel_(\"_aux_R_dag\", \"_aux_R\");\n Scontr.permute_(S.labels());\n UniTensor Sref = 0. * Scontr.clone(); // Creating Sref, a dense version of S\n S.apply_();\n auto shape_s = Sref.shape();\n for (cytnx_uint64 k = 0; k < shape_s[0]; k++) {\n auto pref = Sref.at({k, k});\n auto ps = S.at({k, k});\n if (pref.exists() && ps.exists()) pref = Scalar(ps);\n }\n EXPECT_TRUE(AreNearlyEqUniTensor(Scontr.apply(), Sref.apply(), tol));\n }\n \n+\n+/*=====test info=====\n+describe:test Eig/Eigh edge cases for BlockFermionicUniTensor\n+====================*/\n+TEST_F(BlockFermionicUniTensorTest, EigEighEdgeCases) {\n+ UniTensor invalid = BFUT5.clone();\n+ invalid.set_rowrank_(invalid.rank());\n+ EXPECT_THROW({ linalg::Eig(invalid); }, std::logic_error);\n+ EXPECT_THROW({ linalg::Eigh(invalid); }, std::logic_error);\n+\n+ std::vector eigvals_only;\n+ EXPECT_NO_THROW({ eigvals_only = linalg::Eig(BFUT5, false, true); });\n+ EXPECT_EQ(eigvals_only.size(), 1);\n+\n+ UniTensor her = BFUT5.clone();\n+ UniTensor dag = BFUT5.Dagger();\n+ dag.relabel_(BFUT5.labels());\n+ her += dag;\n+\n+ std::vector eighvals_only;\n+ EXPECT_NO_THROW({ eighvals_only = linalg::Eigh(her, false, true); });\n+ EXPECT_EQ(eighvals_only.size(), 1);\n+}\n+\n TEST_F(BlockFermionicUniTensorTest, group_basis) {\n auto out = BFUT4.group_basis();\n \n // careful: the quantum numbers are sorted; the last index such changes from (0,1,2) to (1,2,0)\n EXPECT_DOUBLE_EQ(double(out.at({0, 0, 0}).real()), double(1));\n EXPECT_DOUBLE_EQ(double(out.at({0, 0, 1}).real()), double(2));\n EXPECT_DOUBLE_EQ(double(out.at({0, 1, 2}).real()), double(3));\n EXPECT_DOUBLE_EQ(double(out.at({1, 0, 2}).real()), double(4));\n EXPECT_DOUBLE_EQ(double(out.at({2, 0, 2}).real()), double(5));\n EXPECT_DOUBLE_EQ(double(out.at({1, 1, 0}).real()), double(6));\n EXPECT_DOUBLE_EQ(double(out.at({2, 1, 0}).real()), double(7));\n EXPECT_DOUBLE_EQ(double(out.at({1, 1, 1}).real()), double(8));\n EXPECT_DOUBLE_EQ(double(out.at({2, 1, 1}).real()), double(9));\n \n out = BFUT4.permute({1, 0, 2});\n out = out.group_basis();\n out.permute_(BFUT4.labels());\n out.apply_();\n // the block indices can differ, therefore I compare the elements\n EXPECT_DOUBLE_EQ(double(out.at({0, 0, 0}).real()), double(1));\n EXPECT_DOUBLE_EQ(double(out.at({0, 0, 1}).real()), double(2));\n EXPECT_DOUBLE_EQ(double(out.at({0, 1, 2}).real()), double(3));\n EXPECT_DOUBLE_EQ(double(out.at({1, 0, 2}).real()), double(4));\n EXPECT_DOUBLE_EQ(double(out.at({2, 0, 2}).real()), double(5));\n EXPECT_DOUBLE_EQ(double(out.at({1, 1, 0}).real()), double(6));\ndiff --git a/tests/linalg_test/linalg_test.cpp b/tests/linalg_test/linalg_test.cpp\nindex 072e7bc7f3cc689b5954a54e7edf51e512bc6794..9c7ed9b2c6c5e2d4821872d0dccfc4fdf443699e 100644\n--- a/tests/linalg_test/linalg_test.cpp\n+++ b/tests/linalg_test/linalg_test.cpp\n@@ -445,50 +445,64 @@ TEST_F(linalg_Test, DenseUt_Eigh) {\n auto v = res[1];\n v.relabel_({\"i\", \"a\"});\n auto vt = UniTensor(linalg::InvM(v.get_block()));\n vt.relabel_({\"b\", \"j\"});\n EXPECT_TRUE((UniTensor(her) - Contract(Contract(e, v), vt)).Norm().item() < tol);\n }\n \n TEST_F(linalg_Test, DenseUt_Eigh_RowV) {\n const double tol = 1e-13;\n auto her = arange3x3cd + arange3x3cd.Conj().permute({1, 0});\n auto row_v = linalg::Eigh(UniTensor(her), true, true);\n auto col_v = linalg::Eigh(UniTensor(her), true, false);\n \n EXPECT_TRUE(AreNearlyEqUniTensor(row_v[0], col_v[0], tol));\n EXPECT_TRUE(AreNearlyEqUniTensor(row_v[1], linalg::InvM(col_v[1]), tol));\n \n auto e = row_v[0];\n e.relabel_({\"a\", \"b\"});\n auto v = UniTensor(row_v[1].get_block_().Conj().permute({1, 0}));\n v.relabel_({\"i\", \"a\"});\n auto vt = UniTensor(linalg::InvM(v.get_block()));\n vt.relabel_({\"b\", \"j\"});\n EXPECT_TRUE((UniTensor(her) - Contract(Contract(e, v), vt)).Norm().item() < tol);\n }\n \n+\n+TEST_F(linalg_Test, BkUt_Eig_RowVIgnoredForEigenvaluesOnly) {\n+ std::vector out;\n+ EXPECT_NO_THROW({ out = linalg::Eig(H, false, true); });\n+ EXPECT_EQ(out.size(), 1);\n+}\n+\n+TEST_F(linalg_Test, BkUt_Eigh_RowVIgnoredForEigenvaluesOnly) {\n+ auto her = H + H.Dagger().relabel(H.labels());\n+ std::vector out;\n+ EXPECT_NO_THROW({ out = linalg::Eigh(her, false, true); });\n+ EXPECT_EQ(out.size(), 1);\n+}\n+\n TEST_F(linalg_Test, DenseUt_Eig_RowrankMustBeLessThanRank) {\n UniTensor invalid = UniTensor(arange(0, 4, 1, Type.ComplexDouble).reshape(2, 2), false, 2);\n EXPECT_THROW({ linalg::Eig(invalid); }, std::logic_error);\n }\n \n TEST_F(linalg_Test, DenseUt_Eigh_RowrankMustBeLessThanRank) {\n auto her = arange3x3cd + arange3x3cd.Conj().permute({1, 0});\n UniTensor invalid = UniTensor(her, false, 2);\n EXPECT_THROW({ linalg::Eigh(invalid); }, std::logic_error);\n }\n \n // TEST_F(linalg_Test, Tensor_Inv) { EXPECT_TRUE(false); }\n \n // TEST_F(linalg_Test, Tensor_Inv_) { EXPECT_TRUE(false); }\n \n // TEST_F(linalg_Test, DenseUt_Inv) { EXPECT_TRUE(false); }\n \n // TEST_F(linalg_Test, DenseUt_Inv_) { EXPECT_TRUE(false); }\n \n TEST_F(linalg_Test, Tensor_InvM) {\n auto inv = linalg::InvM(invertable3x3cd);\n EXPECT_TRUE((linalg::Tensordot(invertable3x3cd, inv, {1}, {0}) - eye3x3cd).Norm().item() < 1e-13);\n }\n \n TEST_F(linalg_Test, Tensor_InvM_) {\n","external_storage_diff",{"_1366":1367,"_1368":-5},"files_modified",4,"lines_added",40,"lines_removed","commit_message","Add eig/eigh regression tests for block tensors","additional_parent_commit_shas",[],"file_id","file_0000000051f871f78c6865511812ca3c","ttl","partial_repo_snapshot","files",[],[1373],{"_1331":45,"_45":493},{"_91":301,"_41":83,"_95":301,"_1376":1377,"_1378":1379,"_1380":1381,"_131":-5,"_118":1382},[82],"input_items",[1399,1400,1401,1402,1403,1404,1405,1406,1407,1408,1409,1410,1411,1412,1413,1414],"external_post_config",{"_1383":1384,"_241":177,"_1385":281,"_252":-5,"_1352":235,"_1386":-5,"_1387":1388,"_1389":1390,"_1391":-5,"_1392":-5,"_1393":1394,"_1395":15,"_1396":57,"_1397":52,"_1398":15},"user_model_slug","slug",1777273399.617664,"installation_id",66798991,"pr_number","review_trigger","comment_id",4324903557,"comment_type","issue","pr_write_guard_token","pending_pr_reaction_id","pending_comment_reaction_id",350920233,"comment_if_no_findings","comment_on_error","share_url","is_parallel_review",{"_91":491,"_95":301,"_486":1438},{"_288":289,"_290":291,"_1435":295,"_1436":128,"_297":-5,"_91":1437},{"_91":1415,"_290":1434,"_156":-5,"_1417":-5,"_1418":-5},{"_91":1415,"_290":1433,"_156":616,"_1417":1421,"_1418":1429},{"_91":1415,"_290":1432,"_156":616,"_1417":1421,"_1418":1427},{"_91":1415,"_290":1431,"_156":-5,"_1417":-5,"_1418":-5},{"_91":1415,"_290":1430,"_156":-5,"_1417":-5,"_1418":-5},{"_91":1415,"_290":1428,"_156":616,"_1417":1421,"_1418":1429},{"_91":1415,"_290":1426,"_156":616,"_1417":1421,"_1418":1427},{"_91":1415,"_290":1425,"_156":-5,"_1417":-5,"_1418":-5},{"_91":1415,"_290":1424,"_156":616,"_1417":1421,"_1418":-5},{"_91":1415,"_290":1423,"_156":-5,"_1417":-5,"_1418":-5},{"_91":1415,"_290":1422,"_156":616,"_1417":1421,"_1418":-5},{"_91":1415,"_290":1420,"_156":613,"_1417":1421,"_1418":-5},{"_91":1415,"_290":1419,"_156":-5,"_1417":-5,"_1418":-5},{"_91":1415,"_290":1416,"_156":-5,"_1417":-5,"_1418":-5},"pull_request_comment","Cleaned up the code and included suggestions. Could someone use AI support to write unit tests?","side","line","> Posted by Claude Code on behalf of @pcchen\n\n## PR #732 Review: Linear algebra functions for fermions\n\n### Overview\n\nThis PR implements `Eig`, `Eigh`, `Gesvd_truncate`, and `Qr` for `BlockFermionicUniTensor`, completing fermionic support for these core linalg operations. It also includes widespread cleanup across all linalg files: removing `using namespace std`, renaming internal helpers to `static` functions with `_internal` suffixes, removing split namespace blocks, and improving error messages uniformly.\n\n---\n\n### Correctness\n\n**Core fermionic logic (sign-flip handling):**\n- The sign-flip approach in all four new `_BlockFermionic_UT_internal` functions is consistent: blocks with `signflip[b] == true` are negated (`Tlist[i] = -Tlist[i]`) before being assembled into the big block matrix. This matches the pattern established in the existing `Gesvd` implementation. The approach is correct for Hermitian/symmetric matrices (`Eigh`) since negating a block still yields a Hermitian block.\n- For general `Eig` (non-Hermitian case), negating a row-block before assembly is also correct.\n\n**Output `_signflip` always set to `false`:**\n- In `Eig_BlockFermionic_UT_internal`, `Eigh_BlockFermionic_UT_internal`, and `Qr_BlockFermionic_UT_internal`, the output eigenvector/Q/R matrices are created with `_signflip = std::vector(v_blocks.size(), false)`. This is correct because the sign has already been absorbed into the numerical values, so the returned UniTensors carry no pending sign-flip.\n\n**Potential issue — `Eig` with `is_V=true`, column index into `v_itoi`:**\n\nIn `Eig_BlockFermionic_UT_internal`, the `is_V` branch does:\n```cpp\nv_itoi.back()[Tin.rowrank()] = e_blocks.size() - 1;\nv_itoi.back().resize(Tin.rowrank() + 1);\n```\n`v_itoi.back()` is populated from `Tin.get_qindices(...)`, which has `Tin.rank()` elements. The assignment `[Tin.rowrank()]` sets the aux-bond index, and `resize` truncates to `rowrank + 1`. This mirrors `Eig_Block_UT_internal` exactly, so it appears correct — but worth verifying that `Tin.get_qindices(b)` returns a copy (not a reference that would mutate the original tensor's index table).\n\n**`Gesvd_truncate`: merging Block and BlockFermionic paths:**\n- The old `_gesvd_truncate_BlockFermionic_UT` and `_gesvd_truncate_Block_UT` are replaced by a single `Gesvd_truncate_Block_UTs_internal` that handles both by checking `Tin.uten_type() == UTenType.BlockFermionic` when calling `vec_erase_(...signflip_...)`. This is clean and reduces duplication significantly.\n- The `to_be_removed.empty()` guard added around all `vec_erase_` calls is a genuine bug fix — previously this would call `vec_erase_` with an empty list on every pass.\n\n---\n\n### Code Quality\n\n**Positive changes:**\n- Removing `using namespace std` and replacing with `std::` qualifiers throughout — good hygiene.\n- Renaming `_Eig_Dense_UT` → `Eig_Dense_UT_internal` (with `static`) is better practice than the leading-underscore naming convention.\n- Collapsing double `namespace cytnx { namespace linalg { ... } }` patterns into single nested blocks.\n- Improving error messages with actual values (`rank is %d`) rather than just descriptions.\n\n**Issues and suggestions:**\n\n1. **Significant code duplication.** `Eig_BlockFermionic_UT_internal` and `Eigh_BlockFermionic_UT_internal` are near-identical; the only difference is the call to `linalg::Eig` vs `linalg::Eigh`. Similarly, `Qr_BlockFermionic_UT_internal` duplicates the block-combination boilerplate. The PR does add \"Exactly the same as ... with Eig() → Eigh()\" comments which is helpful, but the duplicated code is a maintenance burden going forward.\n\n2. **Leftover commented-out debug code.** Several places retain commented-out `std::cout` statements and dead code:\n - `Eig.cpp` / `Eigh.cpp`: `// std::cout << BdLeft << std::endl;`, `// std::cout << strides << std::endl;`, etc.\n - `Eig.cpp` `is_V` block: `// std::cout << out[tr].shape() << std::endl;` — note `tr` isn't declared in that scope (copy-paste artifact from `Gesvd`), harmless since it's in a comment but worth removing.\n - Commented-out alternatives like `// Tlist[i] = Tlist[i].Mul(-1);` and stubs like `// vec2d vT_itoi;` should be removed.\n\n3. **`Rsvd_truncate.cpp` residual `};`:**\n ```cpp\n }; // Rsvd_truncate_Dense_UT_internal\n ```\n The trailing semicolon after `}` is harmless but inconsistent with how all other functions were cleaned up in this PR. Minor.\n\n4. **`resize` after assignment in `v_itoi`:** In both `Eig` and `Eigh` fermionic internals, `resize` is called *after* writing to `v_itoi.back()[Tin.rowrank()]`. This is correct since `rowrank < rank` is validated, but the order (write then truncate) is slightly fragile. Resizing first and then assigning would be clearer.\n\n---\n\n### Test Coverage\n\n- Two new error-case tests (`err_rowrank_equal_rank_dense_UT`) added for `Svd` and `Gesvd` — good.\n- Two new `Eig`/`Eigh` row-v tests added in `linalg_test.cpp`.\n- **Missing:** No tests exercise the new fermionic code paths (`Eig_BlockFermionic_UT_internal`, `Eigh_BlockFermionic_UT_internal`, `Qr_BlockFermionic_UT_internal`) directly. Given the complexity of sign-flip handling, at minimum one round-trip correctness test for each new fermionic function would be valuable before merge.\n\n---\n\n### Summary\n\nThe core logic is sound and the cleanup is a genuine improvement. Main asks before merge:\n\n1. Remove dead/commented-out debug code.\n2. Add at least basic fermionic round-trip tests for the newly implemented functions.\n3. (Minor) Fix the residual `};` in `Rsvd_truncate.cpp`.","**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Gate row_v validation on is_V in block Eigh**\n\nThe `row_v` guard is unconditional here as well, so `linalg::Eigh(block_ut, false, true)` now raises even though no eigenvectors are requested and the row/column orientation flag is unused. This is a behavior regression for eigenvalue-only calls; the guard should be conditioned on `is_V && row_v` (and likewise in the BlockFermionic variant).\n\nUseful? React with 👍 / 👎.","RIGHT","**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Gate row_v validation on is_V in block Eig**\n\nThis check throws whenever `row_v` is true, but `row_v` is irrelevant when `is_V == false` because no eigenvector tensor is produced. As written, eigenvalue-only calls like `linalg::Eig(block_ut, false, true)` now fail even though they do not exercise the unsupported eigenvector layout path. Please guard this as `is_V && row_v` (the same pattern also appears in the BlockFermionic helper).\n\nUseful? React with 👍 / 👎.","\n### 💡 Codex Review\n\nHere are some automated review suggestions for this pull request.\n\n**Reviewed commit:** `900ee1a9f4`\n \n\n

ℹ️ About Codex in GitHub

","**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Restore default row_v path for block eigendecompositions**\n\n`linalg::Eig`/`linalg::Eigh` for `UniTensor` default `row_v` to `false` (column-vector output), but the new block paths now immediately throw when `row_v == false`. This makes default calls like `linalg::Eig(block_ut)` fail for `BlockUniTensor` even though they previously ran, so existing callers regress at runtime unless they explicitly override `row_v`. If column-form reconstruction is not ready yet, this should be gated only where needed (or defaults/docs updated consistently) rather than breaking the default API path.\n\nUseful? React with 👍 / 👎.","\n### 💡 Codex Review\n\nHere are some automated review suggestions for this pull request.\n\n**Reviewed commit:** `a7deb36534`\n \n\n

ℹ️ About Codex in GitHub

","This is a bug in `Eig` and `Eigh` that already existed for `BlockUniTensor`. I created a new issue for it, see #782. For now, I throw an error message if `!row_v`.",415,"fixed in 0f64e0fce2139910922bbb3cb90b58ad95cd7ebe",327,"How about to ask AI to create some tests which also cover the problem that AI pointed out?","\n### 💡 Codex Review\n\nHere are some automated review suggestions for this pull request.\n\n**Reviewed commit:** `8ca1b01b1d`\n \n\n

ℹ️ About Codex in GitHub

","**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Respect row_v when rebuilding fermionic eigenvector blocks**\n\nThe fermionic reconstruction always does `Vsplit_` on `out[1]` using row-block sizes, which only matches the column-vector layout. In the `!row_v` branch of tensor `Eig`, eigenvectors are returned in row form, so splitting on rows assigns qindices/reshapes along the wrong axis and produces incorrect eigenvector block structure (this affects the default `row_v` value). The split/remap logic needs to branch on `row_v` (and the same issue appears in the copied fermionic Eigh code).\n\nUseful? React with 👍 / 👎.","**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Guard BlockFermionic Eig against missing column bond**\n\nThis new BlockFermionic path indexes `Tin.bonds()[Tin.rowrank()]` without validating that at least one column bond exists. If `rowrank == rank` (which is currently not rejected in `Eig(const UniTensor&, ...)`), this becomes an out-of-bounds read and can crash/UB instead of returning a clean argument error. Please add an explicit `rowrank < rank` check before entering this block path (the same pattern is also duplicated in the new fermionic Eigh implementation).\n\nUseful? React with 👍 / 👎.","## [Codecov](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?dropdown=coverage&src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) Report\n:x: Patch coverage is `24.52830%` with `440 lines` in your changes missing coverage. Please review.\n:white_check_mark: Project coverage is 35.96%. Comparing base ([`b8dc7a9`](https://app.codecov.io/gh/Cytnx-dev/Cytnx/commit/b8dc7a96ff66c58d63dcc92ddc457cf8b1bcb531?dropdown=coverage&el=desc&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev)) to head ([`69b6a00`](https://app.codecov.io/gh/Cytnx-dev/Cytnx/commit/69b6a00df6fbb6cbbc0ebb2e894ba095b99c4235?dropdown=coverage&el=desc&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev)).\n:warning: Report is 1 commits behind head on master.\n\n| [Files with missing lines](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?dropdown=coverage&src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) | Patch % | Lines |\n|---|---|---|\n| [src/linalg/Qr.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FQr.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9Rci5jcHA=) | 3.16% | [153 Missing :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/Eig.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FEig.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9FaWcuY3Bw) | 11.53% | [112 Missing and 3 partials :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/Eigh.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FEigh.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9FaWdoLmNwcA==) | 12.21% | [112 Missing and 3 partials :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/Gesvd\\_truncate.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FGesvd_truncate.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9HZXN2ZF90cnVuY2F0ZS5jcHA=) | 50.98% | [10 Missing and 15 partials :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/Svd\\_truncate.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FSvd_truncate.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9TdmRfdHJ1bmNhdGUuY3Bw) | 75.00% | [8 Missing and 3 partials :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/Qdr.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FQdr.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9RZHIuY3Bw) | 0.00% | [7 Missing :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/InvM.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FInvM.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9JbnZNLmNwcA==) | 50.00% | [0 Missing and 3 partials :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/InvM\\_.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FInvM_.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9JbnZNXy5jcHA=) | 50.00% | [0 Missing and 3 partials :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/Rsvd.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FRsvd.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9Sc3ZkLmNwcA==) | 50.00% | [0 Missing and 3 partials :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| [src/linalg/Svd.cpp](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&filepath=src%2Flinalg%2FSvd.cpp&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev#diff-c3JjL2xpbmFsZy9TdmQuY3Bw) | 85.00% | [2 Missing and 1 partial :warning: ](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) |\n| ... and [2 more](https://app.codecov.io/gh/Cytnx-dev/Cytnx/pull/732?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Cytnx-dev) | |\n\n

Additional details and impacted files

:rocket: New features to boost your workflow:

","base_ref","head_ref","pull_request_info",[1439],{"_1331":45,"_45":1440},"You can probably directly ask @codex to write the tests?",[2102,2103,2104],[],{"_1336":1337,"_45":1338,"_1339":1340},{"_1310":2093},{"_315":2092},{"_315":1470},{"_280":281,"_272":282,"_283":284,"_285":15,"_286":57,"_287":15,"_288":289,"_290":291,"_292":245,"_293":126,"_294":295,"_296":128,"_297":298,"_299":-5,"_300":-5,"_301":1469,"_303":304,"_305":306,"_307":308,"_309":310},{"_41":122,"_174":175,"_176":177,"_178":15,"_179":180,"_181":182,"_183":1458,"_185":-5,"_186":-5,"_187":1459,"_189":180,"_190":180,"_191":1460,"_193":1461,"_195":1462,"_197":-5,"_198":199,"_200":201,"_202":203,"_204":1463,"_53":-5,"_118":206,"_207":1464,"_209":1465,"_211":212,"_213":15},{"_132":1453},[1451,1452],{"_143":157,"_145":146,"_147":148,"_149":158,"_151":152,"_153":154,"_155":31,"_156":-5},{"_143":144,"_145":146,"_147":148,"_149":150,"_151":152,"_153":154,"_155":31,"_156":-5},[1454,1455],{"_162":1457,"_164":171},{"_162":1456,"_164":165},{"_166":167,"_91":168,"_118":169},{"_166":172,"_91":168,"_118":173},{"_274":275,"_276":67,"_277":-5,"_278":-5,"_279":-5},[235],{"_235":1466},{"_217":218,"_219":220,"_221":222,"_223":224,"_225":226,"_227":228,"_229":230,"_231":232,"_233":234},{},[],{"_216":57},{"_214":57,"_215":180},{"_41":237,"_166":238,"_239":1467,"_241":177,"_242":243,"_244":245,"_246":247,"_248":249,"_250":251,"_252":62,"_253":-5,"_254":15,"_255":57,"_256":57,"_257":57,"_258":15,"_259":-5,"_155":260,"_261":-5,"_53":1468},{"_266":267,"_41":268,"_91":269,"_270":271,"_272":273},{"_263":15,"_264":57,"_265":57},{"_266":311,"_166":311,"_312":-5,"_270":313,"_41":314},[1471,1472,1473,1474,1475,1476,1477,1478,1479,1480,1481,1482,1483,1484,1485,1486,1487,1488,1489,1490,1491,1492,1493,1494,1495,1496,1497,1498,1499,1500,1501,1502,1503,1504,1505,1506,1507,1508,1509,1510,1511,1512,1513,1514,1515,1516,1517,1518,1519,1520,1521,1522,1523,1524,1525,1526,1527,1528,1529,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540,1541,1542,1543,1544,1545,1546,1547,1548,1549,1550,1551,1552,1553,1554,1555,1556,1557,1558,1559,1560,1561,1562,1563,1564,1565,1566,1567,1568,1569,1570,1571,1572,1573,1574,1575,1576,1577,1578,1579,1580,1581,1582,1583,1584,1585,1586,1587,1588,1589,1590,1591,1592,1593,1594,1595,1596,1597,1598,1599,1600,1601,1602,1603,1604,1605,1606,1607,1608,1609,1610,1611,1612,1613,1614,1615,1616,1617,1618,1619,1620],{"_149":1288,"_468":2088},{"_149":481,"_468":2084},{"_149":481,"_468":2079},{"_149":477,"_468":2076},{"_149":1264,"_468":2073},{"_149":481,"_468":2069},{"_149":495,"_468":2064},{"_149":495,"_468":2060},{"_149":481,"_468":2057},{"_149":481,"_468":2055},{"_149":495,"_468":2051},{"_149":481,"_468":2049},{"_149":495,"_468":2045},{"_149":481,"_468":2042},{"_149":481,"_468":2040},{"_149":495,"_468":2036},{"_149":481,"_468":2034},{"_149":495,"_468":2030},{"_149":481,"_468":2027},{"_149":481,"_468":2025},{"_149":495,"_468":2021},{"_149":481,"_468":2019},{"_149":495,"_468":2015},{"_149":481,"_468":2012},{"_149":481,"_468":2010},{"_149":495,"_468":2005},{"_149":481,"_468":2003},{"_149":495,"_468":1999},{"_149":481,"_468":1996},{"_149":481,"_468":1994},{"_149":495,"_468":1990},{"_149":481,"_468":1988},{"_149":495,"_468":1984},{"_149":481,"_468":1981},{"_149":481,"_468":1979},{"_149":495,"_468":1974},{"_149":481,"_468":1972},{"_149":495,"_468":1968},{"_149":481,"_468":1965},{"_149":481,"_468":1963},{"_149":495,"_468":1958},{"_149":481,"_468":1956},{"_149":495,"_468":1952},{"_149":481,"_468":1949},{"_149":481,"_468":1947},{"_149":495,"_468":1943},{"_149":481,"_468":1941},{"_149":495,"_468":1937},{"_149":481,"_468":1934},{"_149":481,"_468":1932},{"_149":495,"_468":1928},{"_149":481,"_468":1926},{"_149":495,"_468":1922},{"_149":481,"_468":1919},{"_149":481,"_468":1917},{"_149":495,"_468":1913},{"_149":481,"_468":1911},{"_149":481,"_468":1909},{"_149":495,"_468":1905},{"_149":481,"_468":1903},{"_149":495,"_468":1899},{"_149":481,"_468":1896},{"_149":481,"_468":1894},{"_149":495,"_468":1890},{"_149":481,"_468":1888},{"_149":495,"_468":1884},{"_149":481,"_468":1881},{"_149":481,"_468":1879},{"_149":495,"_468":1875},{"_149":481,"_468":1873},{"_149":495,"_468":1869},{"_149":481,"_468":1866},{"_149":481,"_468":1864},{"_149":495,"_468":1860},{"_149":481,"_468":1858},{"_149":495,"_468":1854},{"_149":481,"_468":1851},{"_149":481,"_468":1849},{"_149":495,"_468":1842},{"_149":481,"_468":1840},{"_149":495,"_468":1836},{"_149":481,"_468":1833},{"_149":481,"_468":1831},{"_149":495,"_468":1827},{"_149":481,"_468":1825},{"_149":495,"_468":1821},{"_149":481,"_468":1818},{"_149":481,"_468":1816},{"_149":495,"_468":1812},{"_149":481,"_468":1810},{"_149":495,"_468":1806},{"_149":481,"_468":1803},{"_149":481,"_468":1801},{"_149":495,"_468":1797},{"_149":481,"_468":1795},{"_149":495,"_468":1791},{"_149":481,"_468":1788},{"_149":481,"_468":1786},{"_149":495,"_468":1782},{"_149":481,"_468":1780},{"_149":495,"_468":1776},{"_149":481,"_468":1773},{"_149":481,"_468":1771},{"_149":495,"_468":1767},{"_149":481,"_468":1765},{"_149":495,"_468":1761},{"_149":481,"_468":1758},{"_149":481,"_468":1756},{"_149":495,"_468":1752},{"_149":481,"_468":1750},{"_149":495,"_468":1746},{"_149":481,"_468":1743},{"_149":481,"_468":1741},{"_149":495,"_468":1737},{"_149":481,"_468":1735},{"_149":495,"_468":1731},{"_149":481,"_468":1728},{"_149":481,"_468":1726},{"_149":495,"_468":1722},{"_149":481,"_468":1720},{"_149":495,"_468":1716},{"_149":481,"_468":1713},{"_149":481,"_468":1711},{"_149":495,"_468":1707},{"_149":481,"_468":1705},{"_149":495,"_468":1701},{"_149":481,"_468":1698},{"_149":495,"_468":1694},{"_149":481,"_468":1690},{"_149":495,"_468":1686},{"_149":481,"_468":1683},{"_149":481,"_468":1681},{"_149":495,"_468":1674},{"_149":481,"_468":1672},{"_149":495,"_468":1668},{"_149":481,"_468":1665},{"_149":481,"_468":1663},{"_149":495,"_468":1659},{"_149":481,"_468":1657},{"_149":495,"_468":1653},{"_149":481,"_468":1650},{"_149":481,"_468":1648},{"_149":495,"_468":1641},{"_149":481,"_468":1639},{"_149":495,"_468":1635},{"_149":481,"_468":1632},{"_149":495,"_468":1630},{"_149":481,"_468":1626},{"_149":477,"_468":1624},{"_149":467,"_468":1621},{"_470":471,"_86":1622},{"_102":-5,"_41":473,"_474":1623,"_476":112},[],{"_476":1625,"_470":471},{"_91":480},{"_483":1627,"_470":471,"_485":473},{"_486":1628,"_488":-5,"_41":-5,"_489":490,"_95":92,"_91":491},[1629],{"_45":493,"_91":494},{"_483":1631,"_470":471,"_485":473},{"_41":498,"_489":490,"_45":493,"_91":499},{"_483":1633,"_470":471,"_485":473},{"_486":-5,"_502":503,"_41":-5,"_504":1634,"_91":506},[],{"_483":1636,"_470":471,"_485":473},{"_486":1637,"_41":510,"_504":1638,"_91":506},[],[],{"_483":1640,"_470":471,"_485":473},{"_514":515,"_516":517,"_91":518},{"_483":1642,"_470":471,"_485":473},{"_521":1643,"_523":524,"_102":-5,"_41":515,"_525":-5,"_526":1644,"_528":529,"_476":112,"_530":529,"_91":531},{"_288":536,"_290":537},{"_532":-5,"_486":1645,"_534":1646},[1647],{"_288":536,"_290":537},{"_91":45,"_45":539},{"_483":1649,"_470":471,"_485":473},{"_521":517,"_514":515,"_41":-5,"_166":542,"_543":-5,"_91":544},{"_483":1651,"_470":471,"_485":473},{"_486":-5,"_502":547,"_41":-5,"_504":1652,"_91":506},[],{"_483":1654,"_470":471,"_485":473},{"_486":1655,"_41":552,"_504":1656,"_91":506},[],[],{"_483":1658,"_470":471,"_485":473},{"_514":556,"_516":557,"_91":518},{"_483":1660,"_470":471,"_485":473},{"_560":561,"_562":563,"_564":1661,"_566":567,"_523":31,"_568":31,"_41":556,"_569":570,"_571":572,"_476":112,"_91":573},[1662],{"_562":575,"_91":576},{"_483":1664,"_470":471,"_485":473},{"_521":579,"_514":556,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1666,"_470":471,"_485":473},{"_486":-5,"_502":583,"_41":-5,"_504":1667,"_91":506},[],{"_483":1669,"_470":471,"_485":473},{"_486":1670,"_41":588,"_504":1671,"_91":506},[],[],{"_483":1673,"_470":471,"_485":473},{"_514":592,"_516":593,"_91":518},{"_483":1675,"_470":471,"_485":473},{"_560":596,"_562":597,"_564":1676,"_566":567,"_523":31,"_568":31,"_41":592,"_569":599,"_571":572,"_476":112,"_91":573},[1677,1678,1679,1680],{"_562":614,"_166":615,"_156":616,"_91":607},{"_562":611,"_166":612,"_156":613,"_91":607},{"_562":608,"_166":609,"_156":610,"_91":607},{"_562":604,"_166":605,"_156":606,"_91":607},{"_483":1682,"_470":471,"_485":473},{"_521":619,"_514":592,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1684,"_470":471,"_485":473},{"_486":-5,"_502":622,"_41":-5,"_504":1685,"_91":506},[],{"_483":1687,"_470":471,"_485":473},{"_486":1688,"_41":627,"_504":1689,"_91":506},[],[],{"_483":1691,"_470":471,"_485":473},{"_631":1692,"_41":-5,"_476":112,"_91":633},{"_634":1693,"_636":637,"_91":638},[637],{"_483":1695,"_470":471,"_485":473},{"_631":1696,"_41":642,"_636":637,"_91":643},{"_634":1697,"_636":637,"_91":638},[637],{"_483":1699,"_470":471,"_485":473},{"_486":-5,"_502":647,"_41":-5,"_504":1700,"_91":506},[],{"_483":1702,"_470":471,"_485":473},{"_486":1703,"_41":652,"_504":1704,"_91":506},[],[],{"_483":1706,"_470":471,"_485":473},{"_514":656,"_516":657,"_91":518},{"_483":1708,"_470":471,"_485":473},{"_560":660,"_562":661,"_564":1709,"_566":567,"_523":663,"_568":664,"_41":656,"_569":665,"_571":572,"_476":666,"_91":573},[1710],{"_562":668,"_91":576},{"_483":1712,"_470":471,"_485":473},{"_521":671,"_514":656,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1714,"_470":471,"_485":473},{"_486":-5,"_502":674,"_41":-5,"_504":1715,"_91":506},[],{"_483":1717,"_470":471,"_485":473},{"_486":1718,"_41":679,"_504":1719,"_91":506},[],[],{"_483":1721,"_470":471,"_485":473},{"_514":683,"_516":684,"_91":518},{"_483":1723,"_470":471,"_485":473},{"_560":687,"_562":688,"_564":1724,"_566":567,"_523":31,"_568":31,"_41":683,"_569":690,"_571":572,"_476":112,"_91":573},[1725],{"_562":692,"_166":693,"_156":694,"_91":607},{"_483":1727,"_470":471,"_485":473},{"_521":697,"_514":683,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1729,"_470":471,"_485":473},{"_486":-5,"_502":700,"_41":-5,"_504":1730,"_91":506},[],{"_483":1732,"_470":471,"_485":473},{"_486":1733,"_41":705,"_504":1734,"_91":506},[],[],{"_483":1736,"_470":471,"_485":473},{"_514":709,"_516":710,"_91":518},{"_483":1738,"_470":471,"_485":473},{"_560":713,"_562":714,"_564":1739,"_566":567,"_523":31,"_568":31,"_41":709,"_569":716,"_571":572,"_476":112,"_91":573},[1740],{"_562":718,"_156":719,"_636":693,"_91":638},{"_483":1742,"_470":471,"_485":473},{"_521":722,"_514":709,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1744,"_470":471,"_485":473},{"_486":-5,"_502":725,"_41":-5,"_504":1745,"_91":506},[],{"_483":1747,"_470":471,"_485":473},{"_486":1748,"_41":730,"_504":1749,"_91":506},[],[],{"_483":1751,"_470":471,"_485":473},{"_514":734,"_516":735,"_91":518},{"_483":1753,"_470":471,"_485":473},{"_560":738,"_562":739,"_564":1754,"_566":567,"_523":31,"_568":31,"_41":734,"_569":741,"_571":572,"_476":112,"_91":573},[1755],{"_562":743,"_156":-5,"_91":744},{"_483":1757,"_470":471,"_485":473},{"_521":747,"_514":734,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1759,"_470":471,"_485":473},{"_486":-5,"_502":750,"_41":-5,"_504":1760,"_91":506},[],{"_483":1762,"_470":471,"_485":473},{"_486":1763,"_41":755,"_504":1764,"_91":506},[],[],{"_483":1766,"_470":471,"_485":473},{"_514":759,"_516":760,"_91":518},{"_483":1768,"_470":471,"_485":473},{"_560":763,"_562":764,"_564":1769,"_566":567,"_523":31,"_568":31,"_41":759,"_569":766,"_571":572,"_476":112,"_91":573},[1770],{"_562":768,"_91":576},{"_483":1772,"_470":471,"_485":473},{"_521":771,"_514":759,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1774,"_470":471,"_485":473},{"_486":-5,"_502":774,"_41":-5,"_504":1775,"_91":506},[],{"_483":1777,"_470":471,"_485":473},{"_486":1778,"_41":779,"_504":1779,"_91":506},[],[],{"_483":1781,"_470":471,"_485":473},{"_514":783,"_516":784,"_91":518},{"_483":1783,"_470":471,"_485":473},{"_560":787,"_562":788,"_564":1784,"_566":567,"_523":31,"_568":31,"_41":783,"_569":790,"_571":572,"_476":112,"_91":573},[1785],{"_562":792,"_91":576},{"_483":1787,"_470":471,"_485":473},{"_521":795,"_514":783,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1789,"_470":471,"_485":473},{"_486":-5,"_502":798,"_41":-5,"_504":1790,"_91":506},[],{"_483":1792,"_470":471,"_485":473},{"_486":1793,"_41":803,"_504":1794,"_91":506},[],[],{"_483":1796,"_470":471,"_485":473},{"_514":807,"_516":808,"_91":518},{"_483":1798,"_470":471,"_485":473},{"_560":811,"_562":812,"_564":1799,"_566":567,"_523":31,"_568":31,"_41":807,"_569":814,"_571":572,"_476":112,"_91":573},[1800],{"_562":816,"_156":817,"_636":818,"_91":638},{"_483":1802,"_470":471,"_485":473},{"_521":821,"_514":807,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1804,"_470":471,"_485":473},{"_486":-5,"_502":824,"_41":-5,"_504":1805,"_91":506},[],{"_483":1807,"_470":471,"_485":473},{"_486":1808,"_41":829,"_504":1809,"_91":506},[],[],{"_483":1811,"_470":471,"_485":473},{"_514":833,"_516":834,"_91":518},{"_483":1813,"_470":471,"_485":473},{"_560":837,"_562":838,"_564":1814,"_566":567,"_523":31,"_568":31,"_41":833,"_569":840,"_571":572,"_476":112,"_91":573},[1815],{"_562":842,"_156":609,"_636":843,"_91":638},{"_483":1817,"_470":471,"_485":473},{"_521":846,"_514":833,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1819,"_470":471,"_485":473},{"_486":-5,"_502":849,"_41":-5,"_504":1820,"_91":506},[],{"_483":1822,"_470":471,"_485":473},{"_486":1823,"_41":854,"_504":1824,"_91":506},[],[],{"_483":1826,"_470":471,"_485":473},{"_514":858,"_516":859,"_91":518},{"_483":1828,"_470":471,"_485":473},{"_560":-5,"_562":862,"_564":1829,"_566":567,"_523":864,"_568":31,"_41":858,"_569":865,"_571":572,"_476":112,"_91":573},[1830],{"_562":867,"_91":576},{"_483":1832,"_470":471,"_485":473},{"_521":870,"_514":858,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1834,"_470":471,"_485":473},{"_486":-5,"_502":873,"_41":-5,"_504":1835,"_91":506},[],{"_483":1837,"_470":471,"_485":473},{"_486":1838,"_41":878,"_504":1839,"_91":506},[],[],{"_483":1841,"_470":471,"_485":473},{"_514":882,"_516":883,"_91":518},{"_483":1843,"_470":471,"_485":473},{"_560":886,"_562":887,"_564":1844,"_566":567,"_523":31,"_568":31,"_41":882,"_569":889,"_571":572,"_476":112,"_91":573},[1845,1846,1847,1848],{"_562":897,"_166":615,"_156":616,"_91":607},{"_562":896,"_166":615,"_156":616,"_91":607},{"_562":895,"_166":612,"_156":613,"_91":607},{"_562":894,"_166":612,"_156":613,"_91":607},{"_483":1850,"_470":471,"_485":473},{"_521":900,"_514":882,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1852,"_470":471,"_485":473},{"_486":-5,"_502":903,"_41":-5,"_504":1853,"_91":506},[],{"_483":1855,"_470":471,"_485":473},{"_486":1856,"_41":908,"_504":1857,"_91":506},[],[],{"_483":1859,"_470":471,"_485":473},{"_514":912,"_516":913,"_91":518},{"_483":1861,"_470":471,"_485":473},{"_560":916,"_562":917,"_564":1862,"_566":567,"_523":31,"_568":31,"_41":912,"_569":919,"_571":572,"_476":112,"_91":573},[1863],{"_562":921,"_156":615,"_636":922,"_91":638},{"_483":1865,"_470":471,"_485":473},{"_521":925,"_514":912,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1867,"_470":471,"_485":473},{"_486":-5,"_502":928,"_41":-5,"_504":1868,"_91":506},[],{"_483":1870,"_470":471,"_485":473},{"_486":1871,"_41":933,"_504":1872,"_91":506},[],[],{"_483":1874,"_470":471,"_485":473},{"_514":937,"_516":938,"_91":518},{"_483":1876,"_470":471,"_485":473},{"_560":-5,"_562":941,"_564":1877,"_566":567,"_523":943,"_568":31,"_41":937,"_569":944,"_571":572,"_476":112,"_91":573},[1878],{"_562":946,"_91":576},{"_483":1880,"_470":471,"_485":473},{"_521":949,"_514":937,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1882,"_470":471,"_485":473},{"_486":-5,"_502":952,"_41":-5,"_504":1883,"_91":506},[],{"_483":1885,"_470":471,"_485":473},{"_486":1886,"_41":957,"_504":1887,"_91":506},[],[],{"_483":1889,"_470":471,"_485":473},{"_514":961,"_516":962,"_91":518},{"_483":1891,"_470":471,"_485":473},{"_560":916,"_562":965,"_564":1892,"_566":567,"_523":31,"_568":31,"_41":961,"_569":967,"_571":572,"_476":112,"_91":573},[1893],{"_562":969,"_156":615,"_636":970,"_91":638},{"_483":1895,"_470":471,"_485":473},{"_521":973,"_514":961,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1897,"_470":471,"_485":473},{"_486":-5,"_502":976,"_41":-5,"_504":1898,"_91":506},[],{"_483":1900,"_470":471,"_485":473},{"_486":1901,"_41":981,"_504":1902,"_91":506},[],[],{"_483":1904,"_470":471,"_485":473},{"_514":985,"_516":986,"_91":518},{"_483":1906,"_470":471,"_485":473},{"_560":989,"_562":990,"_564":1907,"_566":567,"_523":31,"_568":31,"_41":985,"_569":992,"_571":572,"_476":112,"_91":573},[1908],{"_562":994,"_166":609,"_156":610,"_91":607},{"_483":1910,"_470":471,"_485":473},{"_521":997,"_514":985,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1912,"_470":471,"_485":473},{"_514":1000,"_516":1001,"_91":518},{"_483":1914,"_470":471,"_485":473},{"_560":1004,"_562":1005,"_564":1915,"_566":567,"_523":31,"_568":31,"_41":1000,"_569":1007,"_571":572,"_476":112,"_91":573},[1916],{"_562":1009,"_156":817,"_636":1010,"_91":638},{"_483":1918,"_470":471,"_485":473},{"_521":1013,"_514":1000,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1920,"_470":471,"_485":473},{"_486":-5,"_502":1016,"_41":-5,"_504":1921,"_91":506},[],{"_483":1923,"_470":471,"_485":473},{"_486":1924,"_41":1021,"_504":1925,"_91":506},[],[],{"_483":1927,"_470":471,"_485":473},{"_514":1025,"_516":1026,"_91":518},{"_483":1929,"_470":471,"_485":473},{"_560":1029,"_562":1030,"_564":1930,"_566":567,"_523":31,"_568":31,"_41":1025,"_569":1032,"_571":572,"_476":112,"_91":573},[1931],{"_562":1034,"_166":1035,"_156":1036,"_91":607},{"_483":1933,"_470":471,"_485":473},{"_521":1039,"_514":1025,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1935,"_470":471,"_485":473},{"_486":-5,"_502":1042,"_41":-5,"_504":1936,"_91":506},[],{"_483":1938,"_470":471,"_485":473},{"_486":1939,"_41":1047,"_504":1940,"_91":506},[],[],{"_483":1942,"_470":471,"_485":473},{"_514":1051,"_516":1052,"_91":518},{"_483":1944,"_470":471,"_485":473},{"_560":1055,"_562":1056,"_564":1945,"_566":567,"_523":31,"_568":31,"_41":1051,"_569":1058,"_571":572,"_476":112,"_91":573},[1946],{"_562":1060,"_166":609,"_156":610,"_91":607},{"_483":1948,"_470":471,"_485":473},{"_521":1063,"_514":1051,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1950,"_470":471,"_485":473},{"_486":-5,"_502":1066,"_41":-5,"_504":1951,"_91":506},[],{"_483":1953,"_470":471,"_485":473},{"_486":1954,"_41":1071,"_504":1955,"_91":506},[],[],{"_483":1957,"_470":471,"_485":473},{"_514":1075,"_516":1076,"_91":518},{"_483":1959,"_470":471,"_485":473},{"_560":1079,"_562":1080,"_564":1960,"_566":567,"_523":31,"_568":31,"_41":1075,"_569":1082,"_571":572,"_476":112,"_91":573},[1961,1962],{"_562":1086,"_166":615,"_156":616,"_91":607},{"_562":1085,"_166":612,"_156":613,"_91":607},{"_483":1964,"_470":471,"_485":473},{"_521":1089,"_514":1075,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1966,"_470":471,"_485":473},{"_486":-5,"_502":1092,"_41":-5,"_504":1967,"_91":506},[],{"_483":1969,"_470":471,"_485":473},{"_486":1970,"_41":1097,"_504":1971,"_91":506},[],[],{"_483":1973,"_470":471,"_485":473},{"_514":1101,"_516":1102,"_91":518},{"_483":1975,"_470":471,"_485":473},{"_560":1105,"_562":1106,"_564":1976,"_566":567,"_523":31,"_568":31,"_41":1101,"_569":1108,"_571":572,"_476":112,"_91":573},[1977,1978],{"_562":1114,"_166":605,"_156":606,"_91":607},{"_562":1111,"_166":1112,"_156":1113,"_91":607},{"_483":1980,"_470":471,"_485":473},{"_521":1117,"_514":1101,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1982,"_470":471,"_485":473},{"_486":-5,"_502":1120,"_41":-5,"_504":1983,"_91":506},[],{"_483":1985,"_470":471,"_485":473},{"_486":1986,"_41":1125,"_504":1987,"_91":506},[],[],{"_483":1989,"_470":471,"_485":473},{"_514":1129,"_516":1130,"_91":518},{"_483":1991,"_470":471,"_485":473},{"_560":1133,"_562":1134,"_564":1992,"_566":567,"_523":31,"_568":31,"_41":1129,"_569":1136,"_571":572,"_476":112,"_91":573},[1993],{"_562":1138,"_156":1139,"_636":1140,"_91":638},{"_483":1995,"_470":471,"_485":473},{"_521":1143,"_514":1129,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":1997,"_470":471,"_485":473},{"_486":-5,"_502":1146,"_41":-5,"_504":1998,"_91":506},[],{"_483":2000,"_470":471,"_485":473},{"_486":2001,"_41":1151,"_504":2002,"_91":506},[],[],{"_483":2004,"_470":471,"_485":473},{"_514":1155,"_516":1156,"_91":518},{"_483":2006,"_470":471,"_485":473},{"_560":1159,"_562":1160,"_564":2007,"_566":567,"_523":31,"_568":31,"_41":1155,"_569":1162,"_571":572,"_476":112,"_91":573},[2008,2009],{"_562":1166,"_156":817,"_91":744},{"_562":1165,"_156":-5,"_636":1139,"_91":638},{"_483":2011,"_470":471,"_485":473},{"_521":1169,"_514":1155,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2013,"_470":471,"_485":473},{"_486":-5,"_502":1172,"_41":-5,"_504":2014,"_91":506},[],{"_483":2016,"_470":471,"_485":473},{"_486":2017,"_41":1177,"_504":2018,"_91":506},[],[],{"_483":2020,"_470":471,"_485":473},{"_514":1181,"_516":1182,"_91":518},{"_483":2022,"_470":471,"_485":473},{"_560":1185,"_562":1186,"_564":2023,"_566":567,"_523":31,"_568":31,"_41":1181,"_569":1188,"_571":572,"_476":112,"_91":573},[2024],{"_562":1166,"_156":817,"_91":744},{"_483":2026,"_470":471,"_485":473},{"_521":1192,"_514":1181,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2028,"_470":471,"_485":473},{"_486":-5,"_502":1195,"_41":-5,"_504":2029,"_91":506},[],{"_483":2031,"_470":471,"_485":473},{"_486":2032,"_41":1200,"_504":2033,"_91":506},[],[],{"_483":2035,"_470":471,"_485":473},{"_514":1204,"_516":1205,"_91":518},{"_483":2037,"_470":471,"_485":473},{"_560":1208,"_562":1209,"_564":2038,"_566":567,"_523":31,"_568":31,"_41":1204,"_569":1211,"_571":572,"_476":112,"_91":573},[2039],{"_562":1213,"_91":576},{"_483":2041,"_470":471,"_485":473},{"_521":1216,"_514":1204,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2043,"_470":471,"_485":473},{"_486":-5,"_502":1219,"_41":-5,"_504":2044,"_91":506},[],{"_483":2046,"_470":471,"_485":473},{"_486":2047,"_41":1224,"_504":2048,"_91":506},[],[],{"_483":2050,"_470":471,"_485":473},{"_514":1228,"_516":1229,"_91":518},{"_483":2052,"_470":471,"_485":473},{"_560":1232,"_562":1233,"_564":2053,"_566":567,"_523":31,"_568":664,"_41":1228,"_569":1235,"_571":572,"_476":666,"_91":573},[2054],{"_562":1237,"_91":576},{"_483":2056,"_470":471,"_485":473},{"_521":1240,"_514":1228,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2058,"_470":471,"_485":473},{"_486":-5,"_502":1243,"_41":-5,"_504":2059,"_91":506},[],{"_483":2061,"_470":471,"_485":473},{"_486":2062,"_41":1248,"_504":2063,"_91":506},[],[],{"_483":2065,"_470":471,"_485":473},{"_486":2066,"_41":1253,"_91":1254},[2067],{"_45":1256,"_1257":2068,"_91":45},[],{"_483":2070,"_470":471,"_485":473},{"_486":2071,"_488":-5,"_41":-5,"_489":-5,"_95":301,"_91":491},[2072],{"_45":1256,"_91":1263},{"_470":471,"_86":2074},{"_102":-5,"_41":473,"_474":2075,"_476":1268},[],{"_476":2077,"_470":471},{"_1271":2078,"_91":1273},[],{"_483":2080,"_470":471,"_485":1276},{"_486":2081,"_488":-5,"_41":-5,"_489":-5,"_95":301,"_91":491},[2082,2083],{"_45":1281,"_91":1263},{"_45":1280,"_91":1263},{"_483":2085,"_470":471,"_485":1276},{"_486":2086,"_488":-5,"_41":-5,"_489":-5,"_95":1285,"_91":491},[2087],{"_45":1287,"_91":1263},{"_1290":2089},{"_1292":-5,"_1293":-5,"_1294":1295,"_1296":1297,"_566":567,"_1298":15,"_1299":-5,"_1300":-5,"_41":471,"_1301":1302,"_166":-5,"_156":1303,"_1304":180,"_571":1305,"_476":2090,"_76":2091,"_1308":1297},{"_91":480},[],[],[2094],{"_41":1313,"_1314":2095,"_1316":1317,"_1318":1317,"_486":2096,"_476":1320,"_488":-5,"_1321":31,"_1322":2097,"_1324":1325,"_1326":-5},{"_95":301,"_166":-5,"_1322":2101},{"_1331":45,"_1332":2100},{"_1327":2098},{"_1329":2099},[],[1334],{},{"_91":491,"_95":92,"_486":2109},{"_91":1369,"_1370":2108},{"_91":1344,"_1345":1346,"_1347":1348,"_1349":2105,"_1351":-5},{"_91":1349,"_1352":567,"_127":128,"_1353":-5,"_300":1354,"_1355":2106,"_1357":1358,"_1359":1360,"_1361":199,"_1362":1363,"_1364":2107},{"_1366":1367,"_1368":-5},[],[],[2110],{"_1331":45,"_45":493},[2772,2773,2774],[],{"_1336":1337,"_45":1338,"_1339":1340},{"_1310":2763},{"_315":2762},{"_315":2140},{"_280":281,"_272":282,"_283":284,"_285":15,"_286":57,"_287":15,"_288":289,"_290":291,"_292":245,"_293":126,"_294":295,"_296":128,"_297":298,"_299":-5,"_300":-5,"_301":2139,"_303":304,"_305":306,"_307":308,"_309":310},{"_41":122,"_174":175,"_176":177,"_178":15,"_179":180,"_181":182,"_183":2128,"_185":-5,"_186":-5,"_187":2129,"_189":180,"_190":180,"_191":2130,"_193":2131,"_195":2132,"_197":-5,"_198":199,"_200":201,"_202":203,"_204":2133,"_53":-5,"_118":206,"_207":2134,"_209":2135,"_211":212,"_213":15},{"_132":2123},[2121,2122],{"_143":157,"_145":146,"_147":148,"_149":158,"_151":152,"_153":154,"_155":31,"_156":-5},{"_143":144,"_145":146,"_147":148,"_149":150,"_151":152,"_153":154,"_155":31,"_156":-5},[2124,2125],{"_162":2127,"_164":171},{"_162":2126,"_164":165},{"_166":167,"_91":168,"_118":169},{"_166":172,"_91":168,"_118":173},{"_274":275,"_276":67,"_277":-5,"_278":-5,"_279":-5},[235],{"_235":2136},{"_217":218,"_219":220,"_221":222,"_223":224,"_225":226,"_227":228,"_229":230,"_231":232,"_233":234},{},[],{"_216":57},{"_214":57,"_215":180},{"_41":237,"_166":238,"_239":2137,"_241":177,"_242":243,"_244":245,"_246":247,"_248":249,"_250":251,"_252":62,"_253":-5,"_254":15,"_255":57,"_256":57,"_257":57,"_258":15,"_259":-5,"_155":260,"_261":-5,"_53":2138},{"_266":267,"_41":268,"_91":269,"_270":271,"_272":273},{"_263":15,"_264":57,"_265":57},{"_266":311,"_166":311,"_312":-5,"_270":313,"_41":314},[2141,2142,2143,2144,2145,2146,2147,2148,2149,2150,2151,2152,2153,2154,2155,2156,2157,2158,2159,2160,2161,2162,2163,2164,2165,2166,2167,2168,2169,2170,2171,2172,2173,2174,2175,2176,2177,2178,2179,2180,2181,2182,2183,2184,2185,2186,2187,2188,2189,2190,2191,2192,2193,2194,2195,2196,2197,2198,2199,2200,2201,2202,2203,2204,2205,2206,2207,2208,2209,2210,2211,2212,2213,2214,2215,2216,2217,2218,2219,2220,2221,2222,2223,2224,2225,2226,2227,2228,2229,2230,2231,2232,2233,2234,2235,2236,2237,2238,2239,2240,2241,2242,2243,2244,2245,2246,2247,2248,2249,2250,2251,2252,2253,2254,2255,2256,2257,2258,2259,2260,2261,2262,2263,2264,2265,2266,2267,2268,2269,2270,2271,2272,2273,2274,2275,2276,2277,2278,2279,2280,2281,2282,2283,2284,2285,2286,2287,2288,2289,2290],{"_149":1288,"_468":2758},{"_149":481,"_468":2754},{"_149":481,"_468":2749},{"_149":477,"_468":2746},{"_149":1264,"_468":2743},{"_149":481,"_468":2739},{"_149":495,"_468":2734},{"_149":495,"_468":2730},{"_149":481,"_468":2727},{"_149":481,"_468":2725},{"_149":495,"_468":2721},{"_149":481,"_468":2719},{"_149":495,"_468":2715},{"_149":481,"_468":2712},{"_149":481,"_468":2710},{"_149":495,"_468":2706},{"_149":481,"_468":2704},{"_149":495,"_468":2700},{"_149":481,"_468":2697},{"_149":481,"_468":2695},{"_149":495,"_468":2691},{"_149":481,"_468":2689},{"_149":495,"_468":2685},{"_149":481,"_468":2682},{"_149":481,"_468":2680},{"_149":495,"_468":2675},{"_149":481,"_468":2673},{"_149":495,"_468":2669},{"_149":481,"_468":2666},{"_149":481,"_468":2664},{"_149":495,"_468":2660},{"_149":481,"_468":2658},{"_149":495,"_468":2654},{"_149":481,"_468":2651},{"_149":481,"_468":2649},{"_149":495,"_468":2644},{"_149":481,"_468":2642},{"_149":495,"_468":2638},{"_149":481,"_468":2635},{"_149":481,"_468":2633},{"_149":495,"_468":2628},{"_149":481,"_468":2626},{"_149":495,"_468":2622},{"_149":481,"_468":2619},{"_149":481,"_468":2617},{"_149":495,"_468":2613},{"_149":481,"_468":2611},{"_149":495,"_468":2607},{"_149":481,"_468":2604},{"_149":481,"_468":2602},{"_149":495,"_468":2598},{"_149":481,"_468":2596},{"_149":495,"_468":2592},{"_149":481,"_468":2589},{"_149":481,"_468":2587},{"_149":495,"_468":2583},{"_149":481,"_468":2581},{"_149":481,"_468":2579},{"_149":495,"_468":2575},{"_149":481,"_468":2573},{"_149":495,"_468":2569},{"_149":481,"_468":2566},{"_149":481,"_468":2564},{"_149":495,"_468":2560},{"_149":481,"_468":2558},{"_149":495,"_468":2554},{"_149":481,"_468":2551},{"_149":481,"_468":2549},{"_149":495,"_468":2545},{"_149":481,"_468":2543},{"_149":495,"_468":2539},{"_149":481,"_468":2536},{"_149":481,"_468":2534},{"_149":495,"_468":2530},{"_149":481,"_468":2528},{"_149":495,"_468":2524},{"_149":481,"_468":2521},{"_149":481,"_468":2519},{"_149":495,"_468":2512},{"_149":481,"_468":2510},{"_149":495,"_468":2506},{"_149":481,"_468":2503},{"_149":481,"_468":2501},{"_149":495,"_468":2497},{"_149":481,"_468":2495},{"_149":495,"_468":2491},{"_149":481,"_468":2488},{"_149":481,"_468":2486},{"_149":495,"_468":2482},{"_149":481,"_468":2480},{"_149":495,"_468":2476},{"_149":481,"_468":2473},{"_149":481,"_468":2471},{"_149":495,"_468":2467},{"_149":481,"_468":2465},{"_149":495,"_468":2461},{"_149":481,"_468":2458},{"_149":481,"_468":2456},{"_149":495,"_468":2452},{"_149":481,"_468":2450},{"_149":495,"_468":2446},{"_149":481,"_468":2443},{"_149":481,"_468":2441},{"_149":495,"_468":2437},{"_149":481,"_468":2435},{"_149":495,"_468":2431},{"_149":481,"_468":2428},{"_149":481,"_468":2426},{"_149":495,"_468":2422},{"_149":481,"_468":2420},{"_149":495,"_468":2416},{"_149":481,"_468":2413},{"_149":481,"_468":2411},{"_149":495,"_468":2407},{"_149":481,"_468":2405},{"_149":495,"_468":2401},{"_149":481,"_468":2398},{"_149":481,"_468":2396},{"_149":495,"_468":2392},{"_149":481,"_468":2390},{"_149":495,"_468":2386},{"_149":481,"_468":2383},{"_149":481,"_468":2381},{"_149":495,"_468":2377},{"_149":481,"_468":2375},{"_149":495,"_468":2371},{"_149":481,"_468":2368},{"_149":495,"_468":2364},{"_149":481,"_468":2360},{"_149":495,"_468":2356},{"_149":481,"_468":2353},{"_149":481,"_468":2351},{"_149":495,"_468":2344},{"_149":481,"_468":2342},{"_149":495,"_468":2338},{"_149":481,"_468":2335},{"_149":481,"_468":2333},{"_149":495,"_468":2329},{"_149":481,"_468":2327},{"_149":495,"_468":2323},{"_149":481,"_468":2320},{"_149":481,"_468":2318},{"_149":495,"_468":2311},{"_149":481,"_468":2309},{"_149":495,"_468":2305},{"_149":481,"_468":2302},{"_149":495,"_468":2300},{"_149":481,"_468":2296},{"_149":477,"_468":2294},{"_149":467,"_468":2291},{"_470":471,"_86":2292},{"_102":-5,"_41":473,"_474":2293,"_476":112},[],{"_476":2295,"_470":471},{"_91":480},{"_483":2297,"_470":471,"_485":473},{"_486":2298,"_488":-5,"_41":-5,"_489":490,"_95":92,"_91":491},[2299],{"_45":493,"_91":494},{"_483":2301,"_470":471,"_485":473},{"_41":498,"_489":490,"_45":493,"_91":499},{"_483":2303,"_470":471,"_485":473},{"_486":-5,"_502":503,"_41":-5,"_504":2304,"_91":506},[],{"_483":2306,"_470":471,"_485":473},{"_486":2307,"_41":510,"_504":2308,"_91":506},[],[],{"_483":2310,"_470":471,"_485":473},{"_514":515,"_516":517,"_91":518},{"_483":2312,"_470":471,"_485":473},{"_521":2313,"_523":524,"_102":-5,"_41":515,"_525":-5,"_526":2314,"_528":529,"_476":112,"_530":529,"_91":531},{"_288":536,"_290":537},{"_532":-5,"_486":2315,"_534":2316},[2317],{"_288":536,"_290":537},{"_91":45,"_45":539},{"_483":2319,"_470":471,"_485":473},{"_521":517,"_514":515,"_41":-5,"_166":542,"_543":-5,"_91":544},{"_483":2321,"_470":471,"_485":473},{"_486":-5,"_502":547,"_41":-5,"_504":2322,"_91":506},[],{"_483":2324,"_470":471,"_485":473},{"_486":2325,"_41":552,"_504":2326,"_91":506},[],[],{"_483":2328,"_470":471,"_485":473},{"_514":556,"_516":557,"_91":518},{"_483":2330,"_470":471,"_485":473},{"_560":561,"_562":563,"_564":2331,"_566":567,"_523":31,"_568":31,"_41":556,"_569":570,"_571":572,"_476":112,"_91":573},[2332],{"_562":575,"_91":576},{"_483":2334,"_470":471,"_485":473},{"_521":579,"_514":556,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2336,"_470":471,"_485":473},{"_486":-5,"_502":583,"_41":-5,"_504":2337,"_91":506},[],{"_483":2339,"_470":471,"_485":473},{"_486":2340,"_41":588,"_504":2341,"_91":506},[],[],{"_483":2343,"_470":471,"_485":473},{"_514":592,"_516":593,"_91":518},{"_483":2345,"_470":471,"_485":473},{"_560":596,"_562":597,"_564":2346,"_566":567,"_523":31,"_568":31,"_41":592,"_569":599,"_571":572,"_476":112,"_91":573},[2347,2348,2349,2350],{"_562":614,"_166":615,"_156":616,"_91":607},{"_562":611,"_166":612,"_156":613,"_91":607},{"_562":608,"_166":609,"_156":610,"_91":607},{"_562":604,"_166":605,"_156":606,"_91":607},{"_483":2352,"_470":471,"_485":473},{"_521":619,"_514":592,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2354,"_470":471,"_485":473},{"_486":-5,"_502":622,"_41":-5,"_504":2355,"_91":506},[],{"_483":2357,"_470":471,"_485":473},{"_486":2358,"_41":627,"_504":2359,"_91":506},[],[],{"_483":2361,"_470":471,"_485":473},{"_631":2362,"_41":-5,"_476":112,"_91":633},{"_634":2363,"_636":637,"_91":638},[637],{"_483":2365,"_470":471,"_485":473},{"_631":2366,"_41":642,"_636":637,"_91":643},{"_634":2367,"_636":637,"_91":638},[637],{"_483":2369,"_470":471,"_485":473},{"_486":-5,"_502":647,"_41":-5,"_504":2370,"_91":506},[],{"_483":2372,"_470":471,"_485":473},{"_486":2373,"_41":652,"_504":2374,"_91":506},[],[],{"_483":2376,"_470":471,"_485":473},{"_514":656,"_516":657,"_91":518},{"_483":2378,"_470":471,"_485":473},{"_560":660,"_562":661,"_564":2379,"_566":567,"_523":663,"_568":664,"_41":656,"_569":665,"_571":572,"_476":666,"_91":573},[2380],{"_562":668,"_91":576},{"_483":2382,"_470":471,"_485":473},{"_521":671,"_514":656,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2384,"_470":471,"_485":473},{"_486":-5,"_502":674,"_41":-5,"_504":2385,"_91":506},[],{"_483":2387,"_470":471,"_485":473},{"_486":2388,"_41":679,"_504":2389,"_91":506},[],[],{"_483":2391,"_470":471,"_485":473},{"_514":683,"_516":684,"_91":518},{"_483":2393,"_470":471,"_485":473},{"_560":687,"_562":688,"_564":2394,"_566":567,"_523":31,"_568":31,"_41":683,"_569":690,"_571":572,"_476":112,"_91":573},[2395],{"_562":692,"_166":693,"_156":694,"_91":607},{"_483":2397,"_470":471,"_485":473},{"_521":697,"_514":683,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2399,"_470":471,"_485":473},{"_486":-5,"_502":700,"_41":-5,"_504":2400,"_91":506},[],{"_483":2402,"_470":471,"_485":473},{"_486":2403,"_41":705,"_504":2404,"_91":506},[],[],{"_483":2406,"_470":471,"_485":473},{"_514":709,"_516":710,"_91":518},{"_483":2408,"_470":471,"_485":473},{"_560":713,"_562":714,"_564":2409,"_566":567,"_523":31,"_568":31,"_41":709,"_569":716,"_571":572,"_476":112,"_91":573},[2410],{"_562":718,"_156":719,"_636":693,"_91":638},{"_483":2412,"_470":471,"_485":473},{"_521":722,"_514":709,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2414,"_470":471,"_485":473},{"_486":-5,"_502":725,"_41":-5,"_504":2415,"_91":506},[],{"_483":2417,"_470":471,"_485":473},{"_486":2418,"_41":730,"_504":2419,"_91":506},[],[],{"_483":2421,"_470":471,"_485":473},{"_514":734,"_516":735,"_91":518},{"_483":2423,"_470":471,"_485":473},{"_560":738,"_562":739,"_564":2424,"_566":567,"_523":31,"_568":31,"_41":734,"_569":741,"_571":572,"_476":112,"_91":573},[2425],{"_562":743,"_156":-5,"_91":744},{"_483":2427,"_470":471,"_485":473},{"_521":747,"_514":734,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2429,"_470":471,"_485":473},{"_486":-5,"_502":750,"_41":-5,"_504":2430,"_91":506},[],{"_483":2432,"_470":471,"_485":473},{"_486":2433,"_41":755,"_504":2434,"_91":506},[],[],{"_483":2436,"_470":471,"_485":473},{"_514":759,"_516":760,"_91":518},{"_483":2438,"_470":471,"_485":473},{"_560":763,"_562":764,"_564":2439,"_566":567,"_523":31,"_568":31,"_41":759,"_569":766,"_571":572,"_476":112,"_91":573},[2440],{"_562":768,"_91":576},{"_483":2442,"_470":471,"_485":473},{"_521":771,"_514":759,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2444,"_470":471,"_485":473},{"_486":-5,"_502":774,"_41":-5,"_504":2445,"_91":506},[],{"_483":2447,"_470":471,"_485":473},{"_486":2448,"_41":779,"_504":2449,"_91":506},[],[],{"_483":2451,"_470":471,"_485":473},{"_514":783,"_516":784,"_91":518},{"_483":2453,"_470":471,"_485":473},{"_560":787,"_562":788,"_564":2454,"_566":567,"_523":31,"_568":31,"_41":783,"_569":790,"_571":572,"_476":112,"_91":573},[2455],{"_562":792,"_91":576},{"_483":2457,"_470":471,"_485":473},{"_521":795,"_514":783,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2459,"_470":471,"_485":473},{"_486":-5,"_502":798,"_41":-5,"_504":2460,"_91":506},[],{"_483":2462,"_470":471,"_485":473},{"_486":2463,"_41":803,"_504":2464,"_91":506},[],[],{"_483":2466,"_470":471,"_485":473},{"_514":807,"_516":808,"_91":518},{"_483":2468,"_470":471,"_485":473},{"_560":811,"_562":812,"_564":2469,"_566":567,"_523":31,"_568":31,"_41":807,"_569":814,"_571":572,"_476":112,"_91":573},[2470],{"_562":816,"_156":817,"_636":818,"_91":638},{"_483":2472,"_470":471,"_485":473},{"_521":821,"_514":807,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2474,"_470":471,"_485":473},{"_486":-5,"_502":824,"_41":-5,"_504":2475,"_91":506},[],{"_483":2477,"_470":471,"_485":473},{"_486":2478,"_41":829,"_504":2479,"_91":506},[],[],{"_483":2481,"_470":471,"_485":473},{"_514":833,"_516":834,"_91":518},{"_483":2483,"_470":471,"_485":473},{"_560":837,"_562":838,"_564":2484,"_566":567,"_523":31,"_568":31,"_41":833,"_569":840,"_571":572,"_476":112,"_91":573},[2485],{"_562":842,"_156":609,"_636":843,"_91":638},{"_483":2487,"_470":471,"_485":473},{"_521":846,"_514":833,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2489,"_470":471,"_485":473},{"_486":-5,"_502":849,"_41":-5,"_504":2490,"_91":506},[],{"_483":2492,"_470":471,"_485":473},{"_486":2493,"_41":854,"_504":2494,"_91":506},[],[],{"_483":2496,"_470":471,"_485":473},{"_514":858,"_516":859,"_91":518},{"_483":2498,"_470":471,"_485":473},{"_560":-5,"_562":862,"_564":2499,"_566":567,"_523":864,"_568":31,"_41":858,"_569":865,"_571":572,"_476":112,"_91":573},[2500],{"_562":867,"_91":576},{"_483":2502,"_470":471,"_485":473},{"_521":870,"_514":858,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2504,"_470":471,"_485":473},{"_486":-5,"_502":873,"_41":-5,"_504":2505,"_91":506},[],{"_483":2507,"_470":471,"_485":473},{"_486":2508,"_41":878,"_504":2509,"_91":506},[],[],{"_483":2511,"_470":471,"_485":473},{"_514":882,"_516":883,"_91":518},{"_483":2513,"_470":471,"_485":473},{"_560":886,"_562":887,"_564":2514,"_566":567,"_523":31,"_568":31,"_41":882,"_569":889,"_571":572,"_476":112,"_91":573},[2515,2516,2517,2518],{"_562":897,"_166":615,"_156":616,"_91":607},{"_562":896,"_166":615,"_156":616,"_91":607},{"_562":895,"_166":612,"_156":613,"_91":607},{"_562":894,"_166":612,"_156":613,"_91":607},{"_483":2520,"_470":471,"_485":473},{"_521":900,"_514":882,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2522,"_470":471,"_485":473},{"_486":-5,"_502":903,"_41":-5,"_504":2523,"_91":506},[],{"_483":2525,"_470":471,"_485":473},{"_486":2526,"_41":908,"_504":2527,"_91":506},[],[],{"_483":2529,"_470":471,"_485":473},{"_514":912,"_516":913,"_91":518},{"_483":2531,"_470":471,"_485":473},{"_560":916,"_562":917,"_564":2532,"_566":567,"_523":31,"_568":31,"_41":912,"_569":919,"_571":572,"_476":112,"_91":573},[2533],{"_562":921,"_156":615,"_636":922,"_91":638},{"_483":2535,"_470":471,"_485":473},{"_521":925,"_514":912,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2537,"_470":471,"_485":473},{"_486":-5,"_502":928,"_41":-5,"_504":2538,"_91":506},[],{"_483":2540,"_470":471,"_485":473},{"_486":2541,"_41":933,"_504":2542,"_91":506},[],[],{"_483":2544,"_470":471,"_485":473},{"_514":937,"_516":938,"_91":518},{"_483":2546,"_470":471,"_485":473},{"_560":-5,"_562":941,"_564":2547,"_566":567,"_523":943,"_568":31,"_41":937,"_569":944,"_571":572,"_476":112,"_91":573},[2548],{"_562":946,"_91":576},{"_483":2550,"_470":471,"_485":473},{"_521":949,"_514":937,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2552,"_470":471,"_485":473},{"_486":-5,"_502":952,"_41":-5,"_504":2553,"_91":506},[],{"_483":2555,"_470":471,"_485":473},{"_486":2556,"_41":957,"_504":2557,"_91":506},[],[],{"_483":2559,"_470":471,"_485":473},{"_514":961,"_516":962,"_91":518},{"_483":2561,"_470":471,"_485":473},{"_560":916,"_562":965,"_564":2562,"_566":567,"_523":31,"_568":31,"_41":961,"_569":967,"_571":572,"_476":112,"_91":573},[2563],{"_562":969,"_156":615,"_636":970,"_91":638},{"_483":2565,"_470":471,"_485":473},{"_521":973,"_514":961,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2567,"_470":471,"_485":473},{"_486":-5,"_502":976,"_41":-5,"_504":2568,"_91":506},[],{"_483":2570,"_470":471,"_485":473},{"_486":2571,"_41":981,"_504":2572,"_91":506},[],[],{"_483":2574,"_470":471,"_485":473},{"_514":985,"_516":986,"_91":518},{"_483":2576,"_470":471,"_485":473},{"_560":989,"_562":990,"_564":2577,"_566":567,"_523":31,"_568":31,"_41":985,"_569":992,"_571":572,"_476":112,"_91":573},[2578],{"_562":994,"_166":609,"_156":610,"_91":607},{"_483":2580,"_470":471,"_485":473},{"_521":997,"_514":985,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2582,"_470":471,"_485":473},{"_514":1000,"_516":1001,"_91":518},{"_483":2584,"_470":471,"_485":473},{"_560":1004,"_562":1005,"_564":2585,"_566":567,"_523":31,"_568":31,"_41":1000,"_569":1007,"_571":572,"_476":112,"_91":573},[2586],{"_562":1009,"_156":817,"_636":1010,"_91":638},{"_483":2588,"_470":471,"_485":473},{"_521":1013,"_514":1000,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2590,"_470":471,"_485":473},{"_486":-5,"_502":1016,"_41":-5,"_504":2591,"_91":506},[],{"_483":2593,"_470":471,"_485":473},{"_486":2594,"_41":1021,"_504":2595,"_91":506},[],[],{"_483":2597,"_470":471,"_485":473},{"_514":1025,"_516":1026,"_91":518},{"_483":2599,"_470":471,"_485":473},{"_560":1029,"_562":1030,"_564":2600,"_566":567,"_523":31,"_568":31,"_41":1025,"_569":1032,"_571":572,"_476":112,"_91":573},[2601],{"_562":1034,"_166":1035,"_156":1036,"_91":607},{"_483":2603,"_470":471,"_485":473},{"_521":1039,"_514":1025,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2605,"_470":471,"_485":473},{"_486":-5,"_502":1042,"_41":-5,"_504":2606,"_91":506},[],{"_483":2608,"_470":471,"_485":473},{"_486":2609,"_41":1047,"_504":2610,"_91":506},[],[],{"_483":2612,"_470":471,"_485":473},{"_514":1051,"_516":1052,"_91":518},{"_483":2614,"_470":471,"_485":473},{"_560":1055,"_562":1056,"_564":2615,"_566":567,"_523":31,"_568":31,"_41":1051,"_569":1058,"_571":572,"_476":112,"_91":573},[2616],{"_562":1060,"_166":609,"_156":610,"_91":607},{"_483":2618,"_470":471,"_485":473},{"_521":1063,"_514":1051,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2620,"_470":471,"_485":473},{"_486":-5,"_502":1066,"_41":-5,"_504":2621,"_91":506},[],{"_483":2623,"_470":471,"_485":473},{"_486":2624,"_41":1071,"_504":2625,"_91":506},[],[],{"_483":2627,"_470":471,"_485":473},{"_514":1075,"_516":1076,"_91":518},{"_483":2629,"_470":471,"_485":473},{"_560":1079,"_562":1080,"_564":2630,"_566":567,"_523":31,"_568":31,"_41":1075,"_569":1082,"_571":572,"_476":112,"_91":573},[2631,2632],{"_562":1086,"_166":615,"_156":616,"_91":607},{"_562":1085,"_166":612,"_156":613,"_91":607},{"_483":2634,"_470":471,"_485":473},{"_521":1089,"_514":1075,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2636,"_470":471,"_485":473},{"_486":-5,"_502":1092,"_41":-5,"_504":2637,"_91":506},[],{"_483":2639,"_470":471,"_485":473},{"_486":2640,"_41":1097,"_504":2641,"_91":506},[],[],{"_483":2643,"_470":471,"_485":473},{"_514":1101,"_516":1102,"_91":518},{"_483":2645,"_470":471,"_485":473},{"_560":1105,"_562":1106,"_564":2646,"_566":567,"_523":31,"_568":31,"_41":1101,"_569":1108,"_571":572,"_476":112,"_91":573},[2647,2648],{"_562":1114,"_166":605,"_156":606,"_91":607},{"_562":1111,"_166":1112,"_156":1113,"_91":607},{"_483":2650,"_470":471,"_485":473},{"_521":1117,"_514":1101,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2652,"_470":471,"_485":473},{"_486":-5,"_502":1120,"_41":-5,"_504":2653,"_91":506},[],{"_483":2655,"_470":471,"_485":473},{"_486":2656,"_41":1125,"_504":2657,"_91":506},[],[],{"_483":2659,"_470":471,"_485":473},{"_514":1129,"_516":1130,"_91":518},{"_483":2661,"_470":471,"_485":473},{"_560":1133,"_562":1134,"_564":2662,"_566":567,"_523":31,"_568":31,"_41":1129,"_569":1136,"_571":572,"_476":112,"_91":573},[2663],{"_562":1138,"_156":1139,"_636":1140,"_91":638},{"_483":2665,"_470":471,"_485":473},{"_521":1143,"_514":1129,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2667,"_470":471,"_485":473},{"_486":-5,"_502":1146,"_41":-5,"_504":2668,"_91":506},[],{"_483":2670,"_470":471,"_485":473},{"_486":2671,"_41":1151,"_504":2672,"_91":506},[],[],{"_483":2674,"_470":471,"_485":473},{"_514":1155,"_516":1156,"_91":518},{"_483":2676,"_470":471,"_485":473},{"_560":1159,"_562":1160,"_564":2677,"_566":567,"_523":31,"_568":31,"_41":1155,"_569":1162,"_571":572,"_476":112,"_91":573},[2678,2679],{"_562":1166,"_156":817,"_91":744},{"_562":1165,"_156":-5,"_636":1139,"_91":638},{"_483":2681,"_470":471,"_485":473},{"_521":1169,"_514":1155,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2683,"_470":471,"_485":473},{"_486":-5,"_502":1172,"_41":-5,"_504":2684,"_91":506},[],{"_483":2686,"_470":471,"_485":473},{"_486":2687,"_41":1177,"_504":2688,"_91":506},[],[],{"_483":2690,"_470":471,"_485":473},{"_514":1181,"_516":1182,"_91":518},{"_483":2692,"_470":471,"_485":473},{"_560":1185,"_562":1186,"_564":2693,"_566":567,"_523":31,"_568":31,"_41":1181,"_569":1188,"_571":572,"_476":112,"_91":573},[2694],{"_562":1166,"_156":817,"_91":744},{"_483":2696,"_470":471,"_485":473},{"_521":1192,"_514":1181,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2698,"_470":471,"_485":473},{"_486":-5,"_502":1195,"_41":-5,"_504":2699,"_91":506},[],{"_483":2701,"_470":471,"_485":473},{"_486":2702,"_41":1200,"_504":2703,"_91":506},[],[],{"_483":2705,"_470":471,"_485":473},{"_514":1204,"_516":1205,"_91":518},{"_483":2707,"_470":471,"_485":473},{"_560":1208,"_562":1209,"_564":2708,"_566":567,"_523":31,"_568":31,"_41":1204,"_569":1211,"_571":572,"_476":112,"_91":573},[2709],{"_562":1213,"_91":576},{"_483":2711,"_470":471,"_485":473},{"_521":1216,"_514":1204,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2713,"_470":471,"_485":473},{"_486":-5,"_502":1219,"_41":-5,"_504":2714,"_91":506},[],{"_483":2716,"_470":471,"_485":473},{"_486":2717,"_41":1224,"_504":2718,"_91":506},[],[],{"_483":2720,"_470":471,"_485":473},{"_514":1228,"_516":1229,"_91":518},{"_483":2722,"_470":471,"_485":473},{"_560":1232,"_562":1233,"_564":2723,"_566":567,"_523":31,"_568":664,"_41":1228,"_569":1235,"_571":572,"_476":666,"_91":573},[2724],{"_562":1237,"_91":576},{"_483":2726,"_470":471,"_485":473},{"_521":1240,"_514":1228,"_41":-5,"_166":580,"_543":-5,"_91":544},{"_483":2728,"_470":471,"_485":473},{"_486":-5,"_502":1243,"_41":-5,"_504":2729,"_91":506},[],{"_483":2731,"_470":471,"_485":473},{"_486":2732,"_41":1248,"_504":2733,"_91":506},[],[],{"_483":2735,"_470":471,"_485":473},{"_486":2736,"_41":1253,"_91":1254},[2737],{"_45":1256,"_1257":2738,"_91":45},[],{"_483":2740,"_470":471,"_485":473},{"_486":2741,"_488":-5,"_41":-5,"_489":-5,"_95":301,"_91":491},[2742],{"_45":1256,"_91":1263},{"_470":471,"_86":2744},{"_102":-5,"_41":473,"_474":2745,"_476":1268},[],{"_476":2747,"_470":471},{"_1271":2748,"_91":1273},[],{"_483":2750,"_470":471,"_485":1276},{"_486":2751,"_488":-5,"_41":-5,"_489":-5,"_95":301,"_91":491},[2752,2753],{"_45":1281,"_91":1263},{"_45":1280,"_91":1263},{"_483":2755,"_470":471,"_485":1276},{"_486":2756,"_488":-5,"_41":-5,"_489":-5,"_95":1285,"_91":491},[2757],{"_45":1287,"_91":1263},{"_1290":2759},{"_1292":-5,"_1293":-5,"_1294":1295,"_1296":1297,"_566":567,"_1298":15,"_1299":-5,"_1300":-5,"_41":471,"_1301":1302,"_166":-5,"_156":1303,"_1304":180,"_571":1305,"_476":2760,"_76":2761,"_1308":1297},{"_91":480},[],[],[2764],{"_41":1313,"_1314":2765,"_1316":1317,"_1318":1317,"_486":2766,"_476":1320,"_488":-5,"_1321":31,"_1322":2767,"_1324":1325,"_1326":-5},{"_95":301,"_166":-5,"_1322":2771},{"_1331":45,"_1332":2770},{"_1327":2768},{"_1329":2769},[],[1334],{},{"_91":491,"_95":92,"_486":2779},{"_91":1369,"_1370":2778},{"_91":1344,"_1345":1346,"_1347":1348,"_1349":2775,"_1351":-5},{"_91":1349,"_1352":567,"_127":128,"_1353":-5,"_300":1354,"_1355":2776,"_1357":1358,"_1359":1360,"_1361":199,"_1362":1363,"_1364":2777},{"_1366":1367,"_1368":-5},[],[],[2780],{"_1331":45,"_45":493},[2783,2784,2785,2786,2787,2788,2789,2790,2791,2792,2793,2794,2795,2796,2797,2798],{"_1383":1384,"_241":177,"_1385":281,"_252":-5,"_1352":235,"_1386":-5,"_1387":1388,"_1389":1390,"_1391":-5,"_1392":-5,"_1393":1394,"_1395":15,"_1396":57,"_1397":52,"_1398":15},{"_91":491,"_95":301,"_486":2799},{"_288":289,"_290":291,"_1435":295,"_1436":128,"_297":-5,"_91":1437},{"_91":1415,"_290":1434,"_156":-5,"_1417":-5,"_1418":-5},{"_91":1415,"_290":1433,"_156":616,"_1417":1421,"_1418":1429},{"_91":1415,"_290":1432,"_156":616,"_1417":1421,"_1418":1427},{"_91":1415,"_290":1431,"_156":-5,"_1417":-5,"_1418":-5},{"_91":1415,"_290":1430,"_156":-5,"_1417":-5,"_1418":-5},{"_91":1415,"_290":1428,"_156":616,"_1417":1421,"_1418":1429},{"_91":1415,"_290":1426,"_156":616,"_1417":1421,"_1418":1427},{"_91":1415,"_290":1425,"_156":-5,"_1417":-5,"_1418":-5},{"_91":1415,"_290":1424,"_156":616,"_1417":1421,"_1418":-5},{"_91":1415,"_290":1423,"_156":-5,"_1417":-5,"_1418":-5},{"_91":1415,"_290":1422,"_156":616,"_1417":1421,"_1418":-5},{"_91":1415,"_290":1420,"_156":613,"_1417":1421,"_1418":-5},{"_91":1415,"_290":1419,"_156":-5,"_1417":-5,"_1418":-5},{"_91":1415,"_290":1416,"_156":-5,"_1417":-5,"_1418":-5},[2800],{"_1331":45,"_45":1440},"task_e_69ef0a35ee00832c815470f8a56a869a",1777273397.929947,"Github Mention: Linear algebra functions for fermions","has_generated_title","has_unread_turn","denormalized_metadata",{"_2832":31,"_2833":2834,"_2835":-5,"_2836":-5,"_2826":2837,"_2838":-5,"_2839":-5,"_2840":-5,"_2841":-5},"task_status_display",{"_2820":2821,"_2822":177,"_129":126,"_2823":-5,"_2824":1344},"creator_workspace","external_pull_requests",[2813],{"_41":2814,"_2815":82,"_2816":2817,"_2818":128},"github-183315216-732","assistant_turn_id","pull_request",{"_280":281,"_272":282,"_283":284,"_285":15,"_286":57,"_287":15,"_288":289,"_290":291,"_292":245,"_293":126,"_294":295,"_296":128,"_297":298,"_299":-5,"_300":-5,"_301":2819,"_303":304,"_305":306,"_307":308,"_309":310},"codex_updated_sha",{"_266":311,"_166":311,"_312":-5,"_270":313,"_41":314},"latest_turn_status_display",{"_2825":82,"_111":112,"_2826":2827,"_93":2828,"_2829":-5,"_2830":-5,"_2831":1344,"_113":-5},"environment_label","fix_task_id","initial_intent","turn_id","diff_stats",{"_1357":1358,"_1359":1360,"_1361":199},[],"image_asset_pointer_citations","issue_counts","intent","num_follow_ups","repo_name_map",{},"last_user_turn_created_at","last_turn_status",{"_1357":-5,"_1359":-5,"_1361":-5},"last_pushed_turn_id","start_branch_name","pushed_branch_name","cached_pull_request_data","dd",{"_2853":2854,"_2855":2856},"disablePrefetch","shouldPrefetchAccount","shouldPrefetchUser","shouldPrefetchSystemHints","promoteCss","disableSSR","stripModulepreloadImports","statsigGateEvaluationsPromise",["P",2852],"traceId","14385672213549225517","traceTime",1777440367114]