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observe(ingest): split the misnamed S22 validation phase into append and seal regions with fsync and hashed-byte counts, and rename it stage+seal #1623

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Description

@DecisionNerd

Finding

A fresh S22 ingest measured 184,749 edges/s: 363.244 s for 67,108,864 edges, 5.41× below the 1M edges/s criterion of #1387. The ladder attributes 323.27 s of that, 89% of wall time, to a phase labelled validation.

The label is wrong. ImportSession::validate_with_cancellation in crates/graphforge-api/src/import_session.rs is where construction happens: it reads and normalises every source, appends each batch into the construction session (encoding, UUID membership, partition shaping, spill), persists the session manifest, and then seals. commit is only the atomic publish. So "validation" is the ingest, not a check on it, and the phase total mixes source read, encode, membership, shaping, spill, evidence writing, and manifest durability into one number.

The instrument to split it already exists. The phase is wrapped in RegionScope::named("validate"), with nested append and seal regions, and seal_and_publish_inner in resumable_construction.rs opens prepare_encoding and hydration regions. #1477 wired RegionScope into lifecycle phases. Whether the import-path capture reaches the ladder's stock output must be verified, not assumed.

Why this blocks #1572

The SLO adjudication is currently reasoning about a bucket with the wrong label. A 5.41× gap on the whole phase says nothing about which mechanism owns it, and the simplification-track order in #735 has a conditional reorder that depends on this split: if hashing or evidence writing is a top-three region, #1617 moves to position 1.

Scope

  1. Confirm whether the import path's RegionCapture snapshot is emitted in the stock gf receipt or JSON output. If not, expose it there; no custom binary.
  2. Re-run the same S22 input on the same host under quiet-host conditions and report per region: wall, CPU, effective cores, fsync count, bytes written, bytes hashed. Regions: source read/normalise, append (split by node and edge), seal, prepare_encoding, hydration, manifest persistence, commit.
  3. Rename the ladder phase from validation to stage+seal in the phase metric policy table that test(g500-ladder): the phase metric policy table assumes work proportional to data, which the redesign removes #1433 is redesigning, and in any receipt field or schema that carries the name. Keep a compatibility alias only if a consumer needs it, and say which.
  4. Record the budget: at 1M edges/s the S22 total is 67 s. Report each region's share of that budget so decision(storage): adjudicate the 1M ingest SLO for v0.6.0 and shared-host time #1572 and epic(storage): scale complete ingest across cores and reach 1M edges/s #1387 can see which regions must shrink and by how much.

Non-goals

Acceptance criteria

Acceptance evidence: S22 tables, original receipts, exact reconciliation and reopen proof; #735 priority adjudication; PR #1652 integrates the instrument and documented stock commands.

Activity

  1. added
    coreCore source code changes
    testingTest coverage and testing infrastructure
    on Sep 29, 2026
  2. DecisionNerd commented on Sep 29, 2026

    @DecisionNerd
    ContributorAuthor

    Evidence location correction (see #1625): where this issue says a table or inventory is "committed under docs/development/", read it as: the method and input digests go in the repo, the results table attaches to this issue. Do not add per-issue files to docs/development/.

  3. DecisionNerd commented on Sep 29, 2026

    @DecisionNerd
    ContributorAuthor

    S22 region split measured — capture already in the stock receipt; two clean quiet-host reruns

    1. Scope 1: the region snapshot already reaches the stock receipt — no code change needed

    gf --json import-session validate --session-uuid <uuid> (and every other import-session subcommand) already embeds region_diagnostics — the RegionCapture snapshot, contract graphforge-region-diagnostics/1, complete: true — in its JSON receipt (crates/graphforge-cli/src/portable_cli.rs:648). It is documented in docs/development/ingest-region-diagnostics.md, and the 363.244 s run's own committed receipt (docs/development/evidence/core-scaling-1448/final-integrated-s22/run/receipt-3-validate.json, tree e90db036) carries a complete 45-region snapshot. No test feature, no custom binary, no crate-boundary change. The AC-1 work that remains is only pointing this issue's table at that documented command.

    2. Run identity and quiet-host evidence

    Two fresh S22 complete ingests (five-command workflow: begin → register nodes → register edges → validate → commit), identical input, binary, and host to the 363.244 s reference run:

    rerun A rerun B reference (committed, bf4b44d0)
    workflow wall (runexec) 364.527 s 363.607 s 363.244 s
    workflow CPU 498.321 s 491.933 s 502.345 s
    edges/s 184,098 184,564 184,749
    gap to 1M edges/s floor 5.43× 5.42× 5.41×
    cpu / io pressure (runexec) 0.637 s / 20.479 s 0.653 s / 21.282 s 0.655 s / 20.544 s

    Correctness of rerun A's published project, reopened and full-scanned: counts and all four answer digests are byte-identical to the reference run's committed digests — nodes 15563dc5…, edges 979e01bd…, node-scan 05cfd803…, edge-scan 73e049c3….

    3. Region table — the phase the ladder reports as validate

    Wall / process-CPU seconds, effective cores (process-CPU ÷ wall, process-inclusive per the documented units — values above 1.0 mean worker threads ran inside that region's window). fsync = fsync-region scopes inside the region's subtree; each scope wraps one instrumented durable call.

    region A wall / CPU (cores) B wall / CPU (cores) ref wall / CPU fsync scopes share of phase (A) share of 67.109 s budget (A)
    validate (phase total) 323.566 / 474.810 (1.47) 321.731 / 467.860 (1.45) 323.271 / 478.240 (1.48) 44,004 100% 482%
    append — 1,088 calls, 71,303,168 rows 67.108 / 58.980 (0.88) 67.112 / 59.100 (0.88) 67.328 / 59.090 (0.88) 37,696 20.7% 100.0%
    normalization — 358 calls, 71,303,168 rows 17.926 / 51.600 (2.88) 17.694 / 50.730 (2.87) 19.074 / 53.780 (2.82) 0 5.5% 26.7%
    open_construction 0.006 / 0.010 0.005 / 0.000 0.005 / 0.000 2 0.0% 0.0%
    seal 232.491 / 361.660 (1.56) 230.636 / 355.480 (1.54) 230.838 / 362.840 (1.57) 6,308 71.9% 346.4%
    — shaping 166.211 / 222.810 (1.34) 165.233 / 221.340 (1.34) 165.985 / 224.240 (1.35) 5,184 51.4% 247.7%
    — canonical_encoding 65.550 / 138.120 (2.11) 64.667 / 133.420 (2.06) 64.068 / 137.840 (2.15) 1,115 20.3% 97.7%
    — seal_authentication 0.044 / 0.040 0.045 / 0.040 0.046 / 0.050 2 0.0% 0.1%
    — checkpoint / fsync / lock_wait (direct) 0.030 0.021 0.016 7 0.0% 0.0%

    Region walls reproduce across three independent quiet-host runs within ±0.7% (append is identical to 4 ms). The I/O counters are byte-identical across all runs (deterministic ingest): validate-phase application_io totals read 58,941,717,334 B, written 45,530,435,829 B, fsync_calls 182,627 over 1,088 appended objects. Registration owned bytes: nodes 67,138,540, edges 3,222,211,061.

    fsync counts, two instruments with different boundaries, both reported: 44,006 fsync scopes (37,696 under append ≈ 34.6 per batch — the per-batch manifest fsync+rename cycle #1624 replaces; 6,308 under seal; the 180,407-call fsync_synchronization I/O phase and 2,220-call encode_write_postwrite_authentication phase live inside seal). Instrument gap, stated not hidden: the capture records no per-region bytes written or bytes hashed — its work counters are rows/bytes/nodes/edges at registration/append/encoding sites, and no hashed-byte counter exists anywhere in the ingest path. Bytes written exists only at I/O-phase granularity (above); per-region bytes-written/hashed needs new record_work call sites in graphforge-storage — a bounded follow-up, deliberately not done in this measurement pass.

    4. Residuals (reported, not hidden)

    • Regions vs phase total: validate root minus direct region walls = 6.033 s (A) / 6.283 s (B) / 6.026 s (ref) — 1.9–2.0% of the phase. The capture also emits per-region residuals natively (parent minus immediate children; sum of residuals equals the root exactly by the documented contract).
    • Inside seal: children leave a 0.672 s (0.3%) residual.
    • Phase vs workflow boundary: outside-validate = 40.962 s (A, 11.2% of the 364.527 s workflow) = register-edges 5.617 s + commit 35.033 s + begin/register-nodes ≈ 0.11 s + process start/teardown 0.201 s. Commit is the atomic publish (cas_install 11.477 s, generation_commit 17.569 s incl. hydration, publication_receipt 5.281 s, publish children reconcile to 0.002 s).

    5. Budget at the 1M edges/s floor (AC 4)

    Total budget at 1,000,000 edges/s is 67.109 s for 67,108,864 edges. Measured 364.5 s = 5.43× the budget. Region shares of that same budget (nested regions intentionally overlap): seal 346%, shaping 248%, append 100% — append alone already consumes the entire 1M-edges/s wall budget, before any seal work. To reach the floor, seal must shrink by ~4.5× and append by ~2× while everything else also shrinks — or the path must parallelize; CPU per edge is unchanged at ~7.1 µs (474.8 s / 67.1 M edges), so this remains a parallelism gap, not a CPU-reduction gap.

    6. What this says for #735 / #1617 (AC 5)

    #1617 does not move to position 1. The conditional was "if hashing or evidence writing is a top-three region". Measured: hashing (seal_authentication 0.044 s; artifact_authentication 3.898 s inside shape_routing) and durable evidence writing (fsync scopes sum ≈ 5.5 s wall, 1.7%) are nowhere near the top three. The top three are shaping 51.4%, append 20.7%, canonical_encoding 20.3% — 92.4% of the phase. The misnamed phase is construction work end to end, and the digests/receipts/attribution costs #1617 would move off the data path are already negligible here. #1624's baseline is directly measured: ~34.6 manifest fsync+rename cycles per appended batch, 180,407 file-layer fsyncs per validate.

    7. Rename census for scope 3

    No ladder output surface carries the name "validation" — the native ladder's phase inventory and rung JSON say ingest (progressive_qualification.py), and #1433's PHASE_METRIC_POLICIES rows are application_io phase names with no validation row to rename. The name actually lives in: (1) the region path import_command/validate (import_session.rs:772), (2) the session progress label validated (ImportPhase::Validated), (3) the certify runner's region allowlist and the schemas/certification-evidence.json pattern (kept in sync by a test), (4) human-facing reports (e.g. the #1622 disposition's "Validate wall" column). A stage+seal rename touches those four surfaces plus this issue's title — bounded, inside graphforge-api/graphforge-cli/certify runner, not the crate-boundary files #1621 is editing (verified against its branch as of its four current commits; coordinate at file granularity anyway). No consumer needs a compatibility alias today; the region-name contract version in schemas/certification-evidence.json is the one gate to bump.

    8. Operational finding for anyone re-running this

    The first rerun attempt failed at commit with GF_PUBLICATION_FAILED … install stable materialized object … Invalid — the 96-character safe_cause redaction truncated "Invalid cross-device link" mid-message. Real cause: reader-workspace hydration hardlinks CAS objects into a tempfile workspace under TMPDIR (create_graph_workspace, workspace_hydration.rs:357), so TMPDIR must be on the same ext4 volume as the project; with /tmp on tmpfs the link fails with EXDEV and the commit fail-closes. The committed verify.sh already sets TMPDIR to a volume path; the ingest driver must do the same. Worth either a documented requirement or an EXDEV-aware fallback/copy route in a follow-up issue; noted here because #1624 touches the same commit path.

  4. DecisionNerd commented on Sep 30, 2026

    @DecisionNerd
    ContributorAuthor

    Raw #1623 S22 evidence, part 1/4. XZ bundle SHA-256 ea99531de93003dad71a35d32df4f3cbd84dc80c8a57072613acf91b450da907; part SHA-256 b8bb1ab8852d233ade1750c974ae7add99ca53255e834677bbb25e9c21a2cbb7. Concatenate decoded parts in numeric order, verify the bundle digest, then XZ-decompress to JSON. Per-file SHA-256 values are inside the bundle. Includes original five receipts, complete sampled host/process evidence, input checks, chunk accounting, reopen receipts/reference digests, measurement and verification scripts, and validation summaries.

    Base64 part 1
    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
    
  5. DecisionNerd commented on Sep 30, 2026

    @DecisionNerd
    ContributorAuthor

    Raw #1623 S22 evidence, part 2/4. XZ bundle SHA-256 ea99531de93003dad71a35d32df4f3cbd84dc80c8a57072613acf91b450da907; part SHA-256 fbed521886df2b03c03dcef42bc53d7ca088c1a0a3ef1092b6b58106805f0e63. Concatenate decoded parts in numeric order, verify the bundle digest, then XZ-decompress to JSON. Per-file SHA-256 values are inside the bundle. Includes original five receipts, complete sampled host/process evidence, input checks, chunk accounting, reopen receipts/reference digests, measurement and verification scripts, and validation summaries.

    Base64 part 2
    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
    
  6. DecisionNerd commented on Sep 30, 2026

    @DecisionNerd
    ContributorAuthor

    Raw #1623 S22 evidence, part 3/4. XZ bundle SHA-256 ea99531de93003dad71a35d32df4f3cbd84dc80c8a57072613acf91b450da907; part SHA-256 24494d2e3c89e2a74637b1bab523497a18c1a2d9f88a74d850f5fea71e3b43a5. Concatenate decoded parts in numeric order, verify the bundle digest, then XZ-decompress to JSON. Per-file SHA-256 values are inside the bundle. Includes original five receipts, complete sampled host/process evidence, input checks, chunk accounting, reopen receipts/reference digests, measurement and verification scripts, and validation summaries.

    Base64 part 3
    wk/jK/dGu9r0oWH7I6WIJTW7Pj6IVbBRlhe0XgQDjrgcaPghq8Luuvzt8X5jnWO4c35bzpP22bQ38xjQTwBQ+Ht+5Kwb/DzyN+Yhgbn7ag9P7mTI5eWuR9EAPVWpDQmOQxXqiKNmlKGVq6vnPpEcr72c7nhxd/+SumOGrH4jOeJCOuTIXgdp+zFGQw3oreWzAOVPLgpasm9OegIGPsPjhkSxB5MdYYbZpUvXoSmwgyL7rQZ9+sRRTRmDtizqJ486291SbAqAxxJ1BivHoDiBzzvmn3dGz1tFC01AC7fCQoUzl0jotTstw6OoNS90rStABYMr8XCIxUGusvOmzIWTP3OxtqHiJVTU3rGivUen1k1qJujPmuJ3xwh5h2r9V2qBS42xIBbadeH2xDYNU2eV3uDYvtPd0XwzUOojw/s2uYmA9/iv/OhkXiuWGdoSyJ097JqpNFI/uou1OZZP6knUqYC5CgwtEGeGEgI7gb/EuVtPaLUK3z1meE9tb69dafPeao+SJPttwNae5hfWaoBPDxIU0ZYMTpfQa93WLySqukcX6bt6kvCjk198lzutXe7wVhspXixivNii8D4tTCDqEb1pJ3Vj0XDzBLzWIxZkuSioXRqtPr9ejllLdMtdolu3Hedvee+gOHhP1LWalGcuWLlZMpSpb8bzmFOcduMPCIJnYyznFY15WFDRUMIS/q7nGy65JHr+/CpCVVT5QsJzk+Fl0DgmHeBgHKsa5eO1OUfJn5yIuXIl/tcL3O8Az98pO8bcheiNeYi7A04ZmYiQ/3VUyjE/o1M75z+xJw4syEDWXVy30ajMrb6PJ0utkVAqDp+11himCPLWkvhdZbxgLVNJ0I6eGgfpXjwiZvYwOYi5Acy22PB81IanE0EMGXLmGsBKWNX0FdrQ1nsv9Z/72jKFH1IYx/kTQ0z8bUh1BIGBTrAC4yKr1S5dj0/Cuagn94bkeCsDVi4DN/HPzcZw+6xj/xaAYrscei96ypmKoiIA0BbbDJdF4LvdeKmnEh6/88zD3eqrqGSEmhcBIU/lKMmhAYb4Nw94RTRhlh9iLNtl+biEmpW197L/gvtIr9AnOoVkhxNwNwIvasqUhrK3ImJCoI3Lb11dbSlzMfIIV5HYel1s6nBI7HhKx9y21lAVDsHgaA696WbMym8SpxhmyPh4+egyP7HfIKQq4kGKEU/YNweovBDacCIYxRKrEelUIOfN4t0thsTAKKWke6zvdt4V1Ea67UKL/BOlFDQUrnx9k143joDy8Vp8M0WzvDmcjbbpaNAsOnnbUVBXCoQC1g4Te7zJa/f5TTGI6rEbfHztZx13iZ3rkZAColId6wqGAiCKLPGqr5xLZb+k/i1wS2qeKO7WAaE9Fw2yVkokSPI9sQ5mIfPnZtncMMR1GBvTCHV6kxCxnyqMJbWS7SUPoQeP4RMq7xdttO8HdXJrIBIso0PqSQxtyzY7c9bDct8GwFNNP+/yUrnSwyQ7mkNETKKXZKt9XgYiC2szNh7qVWztOf9AVjZOopNfBVUNUlY/1/lxiz1cpMKaedreZ4Qtpz7El0gN2lWh0NqPlrFm+Zp+cg5BYj3LYBzTD31tXqcmMbPbG6Q+UT57C8EFs4fMH9Bu90C3JPuuzGkq4tZoHRThh3/oiCwPU9IvNKrOYkjPsS+wNl/ayi5Lch2N2hnN8On2jsXYNirJD7bn6nUpBdOBf34R4XfDQ8fWaSU8ADJERlr6F1rt8cW0fsVhN3w5WLBCcQUgkJiDWPuUtElLsu42d4avG8a+pe7UmKsB5f7XL55Y2PxvjKvW14jniwn9MOPwARqiRc3zDMSuhb1CWhrK7LayX5rgxMcl6MNvTNooMGAKDW4P/JHqDtozde36NOpu/aWx7KUB5qzZHoTogYzNmnBmN7MiOaQEGoP+lPSEkcnNvoyG/dNei15UTdmA0RZC8IiSLgkFz641y71asEqzP1yP9rvRjAopMcmsPja1FITWzN0BYS2SIcpbUNUx9xYkWdwFRO4XvAIHzqmzYBcok3INDcaBoA9JNLuKVfU/9yNnPfd2AmVynsPGg+gqa+0u8MSDRQ5BlQq1ZoR5JPWNIImnjGOBMexBl4kUzYAv+3B9dO08Vzzc7yZInZgT4d2vq9ZXXV9fWZsiN6Ps1QALRGIruvyawfjd3lcUPlLHkMiMDo4SeTHvUgL0Ab8S1D3WAKV0sg5CR9fkkpSNtH+ER6BspxqaGyrIp/dtOa3eM3qdgjGVwCEW3PEuIIJVyBoH4rjg3jj1cVVwr0L8aGzGYxd8otLiX7OOnxRG2KO6mhWLewlIS1/hkC6pup78RsC98b+iuV15BqVHYr1S+2eR2YVhocekZC0Hg4P2P2XwAs1DhYfysdS/yp8mIU7Vy+i+5BqPscIVaJjV3v/aDlkuvOdOeXuUMyS1lcEIjVGUm/OZ6wzUvuFqM7OCapCRvGXGeptJCjCEYagSxm00zWAY3Ye/k89RSzmEMIG1JbfCRU1IeB1cvPS6iu7zVAdWOvgKjTPAc0cL381arjojMPpGd7QcRHYcn2XKhYG5FVCJ+TDGrfldOLeHiep8GM0U1Y23PQPDNjYK0+7fwDb9ADKlBR03rGNozdrWibnsZ8UKEo5VJAXdektOS1s8UFwzUWJ/771kQdVqEI8viNmPSctHD5OHZk10ixrpQYDmmPuDWKJukSdgy3tfqJ5Pgqa4W+cds/bNZDZnFZgT/f0VuMvSSZ43SNPmW2Zp0vcMSpBsmUZlThzYOdgjOqUCpNTExX58J36x2Gf7ChDkTj4ozq+2H/wucG6drZ6S165hSSzbNfZ4cRYH7L1cDrLLrvFSjLJcIpvBCJVWVyy1wEs4KFS9EhCb7yxFaNepim7FKt0xZy9kMF8K+yVjfF2THSS0O6jDLbghxUZb9TKw5tfB9vruqgjIZPsxVPLIIA5GqYhTGmeF5NHOwx4MS5ubHrMX/V80LeOLgYFXc0QUzM1Q64zLThO/8VNQBKig5oLJ3XPhAiiHndqG4iZmsi74B5/V7fFjN/E6CwMlGbCTq9A44+UtRj9ncrOWjWrrEUyxTHnkxPuo8NyYB9WALVF8LHkubiRC4eD4S4XQtUG7DtRFuqqcjXxH9Z7GqD2hggn/JTP8/zZB314lORIFlkSRB+KeKnpMLe7pgzQ2CZ0r/xtM4F4EHUMMaYkejYJh0gIUGENKkqrg62P3290Ol0Hx7SmdbxUZl/IX7bnSGd+Qp63ppT4Bo3Qgas84Dp8l2wQgqprO2ElR3/tUfK5PyuRTU7GKJrwkjr3eBfdDHhnmjN95rskpKd5ZVJ/IOS8wWKaxLqAYW/mR8ReOeNFailHcDbaCRLUAzcwepWOgtS+23q+s89C7lx46+NhSag7VfbUqax5efy09okY62Li4EamfJ1MBMVBDb/91lMkXbU2/74jfZaH3mp3Hsjx/NO9HuyVznyaa41wIloP/ZghIP/CSzJxHI6+O2KBVU1dIsjf5vnUt7pxLNuL9H+ufSBfegOrbluwDSo1dmuAt5ND1J3Lm1JBArF+h5SmwBSkG0hTxmpbv0/YXhsIbfVNaOayLFQX9cOq8sQwcHgtW0DV8Gc2HO4uCW47JNj5VrHnaGhLDP3oorbMYW09SDZsKXoyrvWE5mWsMmjXxqy0i0Hk7Ofona9UX4JlmokSGOTM6nc/qjEliIMT81lXEcV9naO0WaFxnY2qqkDLDiLkpUMYDzaWGNtstch4p+QIFm/VVx+lr3spo4WTf3lB5iHknm4CXqGS7iC1IL26aVw/K1n7PIuLO3likTFFfHUC+p8Jl/ZcFwvsZgnpcmpjxGTJ7nKoE8sU4tjWfA4QJq7XM8Ms7ZDLzZ1JU34SAPTUd5ufIa7bvWdRsCpKwkG1PTESxoRp8SiQrtKfJtOJ/jE8HeWEcefbiWaiwzItlJB6GNFbOTnV3mfGh6Vpdh7GaLkoR25+GvNcfHmdSbRmunBffgNpp9BZssXi0xZmZkgggVl5j9DoUK59ntBOlhKvhahqb9CTIdm/Q/UgQIUEkWYr+eUP2qJ69a9wdelzESFiGVKwQFAV8s1aUOv3U42mnXgZthvcbrqRYam0fn+f3FnjgC29ljcm7ZkPmCErkYH5AvgME/Aekhp6n5oGWXxzfSwv3MDQDE7hHTvxxwFGU3gSwLLEzDjGwradCNXNBE1PCAEp4NiSLsP/v5mGq6ntJMpy47gQMapaNj1w5bQEj0x/OEvMU+P7PaNQ4SXM3LOz8hiAru82MRNfeviwZnCOpQsVFFCrReYRj7am7hBjG7EHpOs+ZtDczCWpjtB/sPx5wCZLsdiSMX7P2mHDuYCZH1ViEQa2LcR0w5+l+kWn2qgrflcLqgiSy6DcBc3856WgKa8+ENs69jLnKNtB4FJYrQeMPmVJ7YcPmSB0qlYXHMwk+EytxKIJf8vZI2LWI7XgPLuhM+/BXQ328tRDWgLIFM41yTo3VLS4UL5Xko124UTg7GtHL/dDoxXHyM0Fo2XbyIrng2iRM4/asiSCYybRG8806zA2EvWwTgTshUlS0S8vNfupUSyjX7qxhno2ypy9Z2qpkpALt6Nk2sOvgRdl6ZHzl2Cz9PpR06M1lzGopJRbd31taIyx6Hv9DGYh4Ie5EbtZ43ZoQSBw5/9rIrpPZ3IPbJe2HlklHY7s4S3B635U8vDiJPC0bYQr0fIUaj4LG8ZsUYo1QaZUKr/Hk0uD29YMYR9FIT1Qi3Bo1HbZSxElQGzwB+2n6tQOTGgYffZB6uVekq8VmHsC/2FlWd6fYhZjLbt9D2+Y51k/4Z2gUj+tzsYVojuJ54I1iteWhVGE5CyyviKwB6UPZi4OPo286G9TOvbQSZW9/3D9yMCx+4eVPpl8BiFY9k49IZpHLUoIms6I0mvODVppBmHeihbl2nksjPaL/RwkNBIRV3YDtSYmq3Yb2bBVZIvUGRP4X8lemEEbvrFpqHYqplTAS3Pyu05qRRIEzpe5FZEc+b+Uk7emMEfx854JI8CcwsYWuUsure5sPg+XgMYIM4vLB262pGC7mRoVkoiPqVQGO/uzimvrozGpjJKQiOvzj06hJyF/MSQTAJX+KjpcQoXklCAIaAyMZK3ODx/PCtLnuKrQKT6cc39p9Ilxrg0PcqMXPPwWFcUxLuUhUuCmpf92iheTp4e+Og/3Zf7QBP8Blkmn1Uqu+t+9nZwVfaW88lxeeG+iojJ8DCQdW7Ac98X8OiGrDMDMAA67GBHSBwfEgHNEKf3r+masE/qV+2HQQCUNycTHRKZFuTNzmZeDglNOZp8KuXWq1E+gN0kQ9y4rnkTtkTiCK0SWC4RA07yGnmVFvHXrwiaSOZ94Fc7uPbLHcrB3N/GL5BkXq+59jkIBZ3WJ79EhOkiNoFpV8KYarz8C6VCDXIEpgkEhhdQisOnFhKXjMbmjhucdjmC/W29gJPvdxMoJ8EuEsGuQnQ27bnil4ONh9G+b1g79y4aiKLqWZQlos/Fupb4/mWGjjgUAnKGfdkDoddIFX1z682CoiNcLNhdkf1T6OP5r2xNIC6hKaEOtJgeBtm7CXDyiI/jfb/bp8WTVV76OBmBjLyNHzJPHEUqbby0BywPQRTMw2KDHsgmBRjsBxEbBtaiaeyabtQbMMHw6oxRFc1dHepaJuiSEG2gdbD6OcF8R6hhXE9l1H8S5UcnC3VeEr13yMzdiETfofbeijXmDGL/IrIFMxn89y8gY7y2DpGt796g//7dx7Vc4bb8+J7dI+jmZnhFPj3l1jFbl3ThaV0yMT2kZMAk+tuS3XVwe2HWz4zVUhnXl19uiRxjZJ/ZW732LaNQ85GZO/TcN3wYb6bi9GQ8AtmeVqYiN7cABFl51SJhtr++3kCzXUIamwdNEkhYukfjNY6HtB81ucCIPCymbpEyEbvSlWzWzpDwVs8g6cpWq7JtrhwU9jW2/4chxWgvtjTZwYswAarCfeTzWfOQLIaqbNF1kMtHOjzwOJdzowwLGnNtc3aV3FpqKgakSTV5udjqGBq+JnS28Vjc4z+2Gz20nJW0qgIQswfhd7ETHpOg6pp/1VwC+eofxU7j7WDJwEDdvGWb1pAUw6RffDERNo5NnpvP25cL8x7AzK1fvM5i4z4b8Xov/Gfy01HtL2fEGoWcFQOgpzd7z1atLE0jiaUfl19LIoCQIGhF0J2V0opa2w7+ed8n5baf8ZJitqnhZ8G6AmtMZ9KN/pppshCUDoMMZc4sxVxKe//rstgT94+1AkfWvyax1oyhvAoAbgQDYoxCt4EsJTq270xWf3qeHyy15lTUgpDxR9Ei23ZrcoRjOsUYEcIZ7fou0qRNDCJ71jgC1QTrXfC8Vtil5flZLTvGvP3e9iqQvDlvSatK23bqAJs084oXiipuqN9jj46t/Gy8n0TwW+gNk3SmzobUvlrUJBYHHpotDB1MFyxQFo/ReYGuRZ3NLW35bny+e+K4kD7f74Bzp7RhQ9mZpBb3evNElpEtMQ/FaOizMMHuuRpwxWT3Q+qt70XTN94WryIlh6x5dCZVcXLJbL9Ht/PAXXaqqIEeZ4nKetaJJA1/saPBNoOCRU9+/o3i2EhqRFJTPpQURPZpNwckAqHMU3w4d+irrOYvY44RkzqqghD5kn/LooAtBMNNnqFs8HZ6VBHdptZNWOBaqN4QgsHgC/89eK/oFubsDpyFNbqNqtQXjnuWVZo/9wQU+azFMVrcq7BOQz+fmcsklF6YFqu3wBz61XHgKiK9DTUK5gyQF6btvtUTIb7/4b5MNbG0R00NhhJOFOpZRjoZ+g6YM1sD6v/fy5a5f4Vs9ke6qD/9xlrzOrA7SgWTQPSBtBEaFybU+4WuYZxLqaUzktPntma/AMN9FcHjWEu9bFeSBx11xUDYso6XRfhu9a20nmXa4wktg8DgLuj9ssx73kHeMERI3y5Ucx1qWjgUwswOS0RlCLw/U1pDp8uH5+/0GoZFdHdxzH75QjNuvTw463bBQOTulSq7Ng6nZ1SGn0myhG/Dzbi5jvb0u9dzjZIqBqyu94eXTMBycu6RgW/xiNXfttIkIYPUuyMDIjsG6LXZBaNyjdoJWBI+THSTIPKCYs3PQLxAEXxbKmv0r/kzgpe9JyhGvW+rFLacghKpmbnfdF4V9YYlu9T68JLSC6Bwhj5AHLjEU8AX1/r5/sYYv4a3VyHKKWVDdQmSz9HY75HJnGnf1zdb223M+JUjfPsqYIx99ZInRtB2HZrZMukvFBiVfDlYiaZqMPcX8pHdarK6yXZ0ktlyPoy6CAzaXjnoOANHq4BrvqecFPjBjXS2Q1pFfDuEJUBxbzioyhzP+PHPnC1vMdS9jVLe6XBXVLUZJMYO20g4DuW6nayybWrwZ1yI0FTy6uNTQNaz7j18vRx2Er30QWe2UPAbRKsc6YlzgZ6ACYrQnBcwN8M8wn3iz/0sTosR+My+GchRNgTbqffXjwQeJv0s2YGuVsyiNVCpSYaRn0yVfsunuPIgT8ymPacXj8mcTX12angJthklMsaCHiWy95eNj2IJJnZwJciynWMDJWqL36JuqwdB9O3kGLq/vPJTY7w7o5wVxZiIMmV2mxPTnNqsBPWrbRtE9uittz0xEUKcOxgCTnoiKPErBnJ0DG9zwPJzYQHNMYkE8z8R0i31b3oAqTxRvxzoe8dUpO0JCXWElZOpig8EmRYZJbqSgrbiqfC3NP/G1KT/xNb1Ezd94D5fNBZw1SwqHqFGy6XqbxtTzNbRvbRUbPhjeJZ/Hb0HZpZANUsjXvWwad3by0z+Eszm1/jqUYlKczSZeNEBgYrFE5UCZwQbIthFQ6MDFcRb/UnbWeqHdT418M/4g0maTPMh+FcrWtY17UNKElMqZG5QDvFKckV1HScQxudZEZbDm7+CzLzgivu0cF16eM0Qt37RdFT2AeDbA3CRGyVr24D9HdxUra0s9s15Rxuf5n5BUcTI2BHYwZTwO7nsk7FDza57rthgfM+kxuEXxmxNRsNTlysCVRUcYkWTd18lAGeFLqgyU39CMaw3yOqLyOVVLvKepMoNxClauioIEH2mG6iLD0INO8s0znr5YsDTepd3izJrXMmCcOezw3kQ11UYDGJtBTDEwkwp0lNNJKSzdGKn7H9BSQBZMmFcyqD3FWIwwFajYhlLdhOpWsBl1iEDPFmqUzxCkMpW75oU/SUWPotrejHYZJYSeujYDMl3esdkO4c79KFUhXM8B1c2UE6pfuIs+pDtLI9zsUtQky3YfS4Dwp3iCvkq8aiEjPpfO0mq8K6OZau34cFasEV/zjA9XjkrD6sCYV0UMirlg7U4WM0AuJmrdsoVZNMZghDJxcj9kQYroYhS71c4TgETsbPxtW/402j4rpziA2o+2hXBNkwSoai748MjQcWWSNkGmb8Vd1V/M9ngh/L6GnOKp86fmGzrlyyiiTgWQH8Bel2IuTCVgWJ6iqPfcKP9oWf4Hj8g34m1+rMCNs5nCCBXTOX/JdMYbo+uhtdbA5qFD0uUuY4c8L5m100G6TuFMfjKiBjn6p2Ln3YVemGTnP5LM4qS5j6pzSn9IrzAus8kToj55IE9+MU6mQ/p8gA9mEDIppXjFfe9xIncVYEVyFEuwgCr/MctJqzFcKz9cOWe270KzTqUbYmx3Jx8U8ATU9QTKgakfyoLx6nLA1JzCJVtmCa2tljS9PhacXFfs7T2ndA5h+8Uk8ywYgnMdVJsnLue/WOQdaH/WZCjPRs5Bh88gg3xWxib8/Mm5Yu6pS282QGFzN3rOTdMQrTzvxnNj8k19m0FHQfgwR03XFvQdGqG44gh5EzcJlwiAR2zdD72OymxgdPd8j8qMkgWLcYdez+ZyAf0kyteaI36V4T1LDs2CL0oM7j0DWtMhH8ddTOJxxIC12KCg9UWM4a1TmRTO4vY/NMw0eH2tirBiz6UGv8ZTZtMmnQHQTddOCJ1LsioG8tfhSrodEwqSyBPH6t4NiPXzyVbGh/OqdxfoDv/Hik2/q/rNeyUM6ZigBPEVlTID5tqI2NtzYIsGOo3igWCRxWS4T9uVrc6X199gDqT0m8zpmYcK/feQArAtnPl5xNlhiPfQLrWje7Bd0P+37RASGBC81jopbft7CP7gmQqqTcTLY1i7jGgSrf/VDh4ZcALWJa4LyLgvmWWB+x97Z/WvWwGaWwQ7JNukTkP6ilIZvRJQ3YxTQH+cdmq2HEyxLGN0mqwwC/uR4V2GoOlVXwAwZz0YAWcm09RzaNmylW+K21wMZ3Zk99musH8f72uHz1svvtUi6UM4pqv3/FNF2W8LOSALcystIf377sjzXwMw6vSYCbN4cDWBGy1iYlM8JBHuuygQMtkvK8S2YPXCaGAY3k1z/xqA2vIXGa0A6WyTcK9u0/1KcaexVBpVrC/EmGUDzuADx1hPeSLzJMa2pMYYRyeaZ5/MuPWGM91IFH6grHYkOCAnSxOD4TAZvroZQN1O8NlTuUD+uzNdp3d8S5fwRik0du+fcq6RC4BBZv7LXgQ0Y12AR9nnah32UeavMx4ff7ECM1ouHjivbVU68UjvUZ7xBzl1tQBRhVgYyplGP3Fz/z9sBUKrHlBjzopL2fFlgubCaPzEZMMtOMMHteNMWHwO/VCU1U+Uo4awXe48Bbz/dqVuZ6PRD9RXZ/M2fH2N1f3nIH5tGXSz9TFlmwklD1GhjSFOPEZ/LZrdz1yzEXVtRKiixn18IdyaHwLrYFTVnsHLpYNqH6pUBPH0ALMhuUAsoITNS7LjmXLB5KgOLUIWM0r7He2BxWD4qCrLMkl+/TdX5d8iv2dXDugqsoKRo+Vj7CWQ8YXF3e2Ra2nFBDFv38uydfXk+ngm8FBwD5VR2IEvZJF8dkjBPUKXPVnpcGfvvFTJVHRhpd9OdpdT08aXrqvLX8yAaT1jnaPIn5kv+MF6HHnBjifUFS/bVjz69CFJXcLNv+pebpbmkPQaFru5Ktxp+WUp3FBwtfvZupxJaLqx6NJCkcZr9GKRNzCkbILyocyBwGt9gOS/FmFSdh9Yo6pILK8+00/3y1HEgPvgHUqIHNmG5nFIAV2HEl5rDvQXlT+JyA1AkG8NFm4ua+K3YT4q7gSZKYTM63GuEWv09F+xiDUfrlXd02eFN8duxtOtz7+20ij1qxJIPCxtfd61mfqlMx9Hms1Ri2NkxFFp38kzgydPXjzfLklQCiqKXKmF5r7/cQQoj2XHjIZ290W9Kirag3EsG6NaSTcZjHsme4EULb5pmdwtfmLLbu/5f4vF17fHWH6rIiD6VzhyREq4VFZBodjtrVyO3t02vkSj01/76JvMyooM1/DsBJyNZpi+FL93CUd7O4Ni4+jGAeO+I+rbXrf15adY/zWj/TZbZVrB7zAhTawVYSbNduNohicfVSTPls1rVMft05i70DCF5tkkUkLZU+FsKopZuFUlho3GB7GAriBJLhjfQ8G5mptiaqvfIs9uzdy6xP4IUFVYAAK5PSlCEwsEN9llty8yWHy1Dp8JbJStJQKIHf2tn12vXJiQWLwO1SvXUlRLvY7NK8d5PpDKGYWgptf5UQSBLrpls95GpQ+P9e+1IDThaUtDN7GzXpFbHeitzwXj1Ga/2pul1lxebNVp5GOq2SllvBKQaO5jxWb0RHB1b/HahXfVwC74iv2iV9m1snQRN54EBWg2C8hyDIn+ZeEdDEd+cBNSy0NIase7fHfkgj8lIYnFK2Quaig6EOGIbyoKv40ymnfXhIwbgCPURyaZhT6CpiG9s06mobuLPUGE6JidcYuRRM+GWTlc3aJ38GrXm/SJtriqiGjDjH+Y6gAjmWtHqprzu2Sx7hJNKny9HBfAdihlLCQym9XZX6X3apJI0d52vFoeTVKvy4fqZ1Y7EsFE4DQ9Ykm1xA+71kJDq3381aoyPDDS1voHaurI0tiXMbpdzAi9wte4nS55lRAJYrd51PS96ZnF8LhyKY7bvzZvTkTWDbwTa0qJ7GM9/JMnz4bCcuudy/S2+KXiigfYlYiAhzM76Rbg1/IFy9oOHUa/hTCZEwAugWXhN+Hus7oYnHjdQNpZUkghyR7t7vdLU2jnpVB8ReRyLDCMSOvzgd6sS//EV3LmgEfjQDyHrribP5MaZGkDlDba9gnb8bY+Ayl1wuCXRv7D4LUDb2yobUtBKF6GIuZtsWibpLXHeGXvkxIaxn/d2H2JhAQXreDUkG9MmSB+WUbr06TmUPqErrUA5AHnvPglE6zWwaPou8LH45ryviXKymkV3Ioxv4IqSiadaIpONUDxxcCPmRBiHDqdT9JfH0jB3cRyAriQUEciHBkzbziBtJz/LtvREKxibSDfm5UCvONatw3/Vv2Kpbifw+FKk8OfArWdtcW4pWpg1gg3igCMabDXA/w178KDgtfaYIHsITY/lLlcnX/cTUD7GK8t+4heiLPGLFvckIR8InAsdo1W963b8zi8aYeaLyNEKo871SYk3ePpzGg4kVDEZ4Y0zokX6fs+P9xyfc+KVUIOMbuVn/bHkNg0cyxuWI4IDrNWWUpPhnDJLOxSxL/QNwEW4XjrADFhaYPMLj86fjyucDIyw5tPcnnARZsaEczXt1SE69j+3vVVbsziZ7plYmiEV3fAlKqqHZTpgMW9AvXa5AscIMIskmeluJFXO927kmRYVo1xELAQFMLbifwOa9Z2tgMWZCXYieB3qxHMs/7tZsC/+P+PxuO6cuSgDWno8GBk60zDKeAhgG1ija8Pakjrs+0pnwCq+TIJJHOdX/onjFnyqa0uzeVaGwnKMxRrMpYQUv4gheBcaoHcuskqD8re1Dv2CEarkMC2176AYCTATEJ2m2DhNCiU/+J4pqNlh5IDHAe6VeBud2S3y7DNZCk1Vet+MJtuxrh4kMQ8Gh0YYMu4j/TOBoN5isVgkRWBb/KyWdq7xJ08punJlKA9zsk3ZygMWBY3jZq+Io5IwK731R4Lsr67ShcpqcaMDBufjNQD5fXfGIK6dRNsbge2cP7+1CsmXBdxeQw+5tlBxMud6aBrXerCGkvxjYE/o45uIDxa2l3qJYuCCnv/BsFQLyQZPClbpQHxHtpJZTM5Ip6z9PyBMNI8RPEJ9GKlHC4pu0WvrNtyewb2MRxYytVCFZxa0m9kB3wquR3iafRwi2cY9gDV+MKq/lZ8c+VvqgzbDDrsm6YZ6y4Ot56N6lXb/sA8Od0kF+BiXzQLrlOg2BrPlhy63pLHyIWkFroMSyU/qnAV0B9vGAavtZzSaihgPCngTpfaen/AtUDuamX9rXIc/lGzInJV2WRCwTlGp2BnPw94ouDsRRVh6da/idqNs7ipqfxF0iyv+R9rkC5yHEO24Z084z9n1jEiE5N8t1zq++kPo1eZVy3rImYxEGsj7nTKYIhtQ5JDExMhoeiLAfmXIOWUJUW2ecbjL+nH4+i7e68HZt3g/67z0s2v0XzEr/cZ1nbav+nt1gD76DlYXU1SFnt0yIQJUXnELJ1Km51SbG1NX1+z76lhQOTUOH3rn3kPROnjbIUJDXsJE1cDJ5rG1DFgn0bOj80oTlHqpg6+/knFNqNaqg77c8t5JqXSl3GzzqjZRRv0hDAGRide43QnqKy7RY3b6AqPiTBF8GGy/xeRvRcc11/9ai7LpavBPUZSGFvKQvW9E1g2PmafGETVIHV6mBZ6QYdrBpfScU60Nh0t8IzXtxcxriTgDo7U8RnJxC6tUqeSxbJBY6SKUO2sdVSElS/itPI/Pz9ThomdP9EPvc3SoB9Yiz6OKjH5yyaY4nAtoV1jb5aWY3q2mNXfpf35A4CLNRIHBaVYWjLCdOb2bJaMrYNhn7URe4FOfUpPxlwlrdHzwoS3oGmby8NPs+pBfc8RMh2LyxWHI0vZDHQNN4I9FzZKnS1mZ86M7ew7g6Cfxb4lCzYkCaIBpJ0MLe9LiEiwsZxhPZWROqOqWJhOLq9hOeF8+sWK2bo0Ry76yMSFBnhx/qKx+FeoygVF2FLuT8TLsf4Kj9DvPvaQ4cIBtrpaQa6R9lQ8VjrYw4FKn771Rl20gaQXp4RLankyGuJ7xIfTtC2AgorFn8aQJLMM8a9irfMPwtBDJcwY+2uM8nrprViUQGvXT73YWXWSw4eakEQzxllT+74RLXVcIvayKo/V97hcXRWrKYIF37CRwcB5QfUPBVbRP/s5yDRuToUpMAyZbJmQVqLNaR5tFwk2pkLKzHt1ouusUgTy6cJNJGHe/UdBBS4VvD2CDDwtN3644R5V7KjYpidFtKL+ifz9+bgURmI5xFLYuoRG17/QjKwA6qnCTPiLmv11hHjuWZmVazU+hJNwNfyziAt1KOaepSrvI6MPwBMNkbX6iUYdv4o3Hs8mnOkkGFXw7jmHtTZTz4TONEIWHPqc59d7m8aG/AfF8emWQnBA0ME+Sio1Q1UZRxuQTnxSM/eAvLgOViac+hQCFGrTg+/4VIeiTamparCYaxvfLhztugNdiyuhcF34wMrV9AEB+EGQgqhwtSf97AJJi8cUT+xDRUY+pqQHhBchz+9V8O2iXxbO80fxsVOuynenKlpibTDRImSC8YIs0hp7C4C4HsPz/tN6T68WfVrUJT1uYNgEi7BmSGa7JpmfgBfgv0utEqWAXE5ij0RXm8Z9eKL7Vwiogcxn41pjjtDT+a2zIxCbyLyLPFPAz4aOvS3pIfDU5MlDq5Aljt+16+XHzQrDu27KCSWVi9N6Eze3oGYUCQjDfywTC3+W8XFBET/dhFQstmiMRd6PPGoC4KME8pz8uDdK/9WuqnH0dAmQlDtT3c74uJ3w7TV1jeixKfjmlwUQW2O189twEAcK2MlAydqi8xBwGqPXyU8hLkoU7XRbHpRYzhy+ttfQcwEcNSDPN393KqRTphqi2rkgALfvuRWLlikERj1rK/3J+mnpdlrk00F6g5ZUbytroKtjMzYOZo1Y1u84am0IdBtHCUO9ajrM69U+AiieHNRjPKK6QVX1rrQBQyqXB1FOy7UWn5y91eMsr1ic0j6C6ZB5zrv4TJ6CQ3280cb63wndMD+UH4ko/Db1m07Va8+kT8M44NQ/dtwvKsxT/MlXVSR/6DdXWlMX90bgR1mlGkLr+RSdWYWWwbc/WumvxgezPFjY0BfhtZlpp3ua9kgurDMwa89OrbIuJPex67jimqZLX8jFKm8iiAbSSmC98EaJAJ4uB+DmpX+erR/pxecTDepeKoAR+uK0BhI3l3Zo5eCodMDVQ7kgmm0B4Lt0CuZoNbEV1nF7fsvMpGttEw56Q27hNn3rTYMBY2E4UYh66rzcQ3TqS2zlqWigRuocHw4Xz7HmUqSkdD/5sT3Enlo6xVsFcTiaR6KHUn//THz/u0086yUZqwVc4nOGFAAPfSCMhUXRHwf2NjQl56mjVlzl5N3cWNu7Alz07VN5OcdTcqZT0Ahpsxt4yPDjKQppq8siP3SA5rAuC5ccO0FV1mgZJT9bLp5Zi/YhXjSJJ3MEru0OUjlBOqGOJ+y+1djGxUCRMR24FlC+aXQavRc3Jdl4OwUAomrPA6/MIkOeM6el9X3toJ2xzmmaN8jTouvyuUmvld654SRxbX40vl8ZtokBUS4NCfmCoHGZfzEKNazh3TzjuwCS9OxYrk2PR9VGodg8HhZRKIweGzeBjcC6sDNdeBCafkUwMvIPbUlfe/nLmdK1LIY57IME5fajqMvmzRAAq8lucAckU/Pp9XXB+20GO3Y4Iy83VyOJx9AzNtZ7V2Hp35oXYsKYhoGfh1FE30bZutAAQFcWknMbG4liNQacNzE/XLB1n1Qlu0HGah15l130TA5PjhxJT512QuQJEIvsduNgpgeoqIgCxqZPFLW2pMY6NEq7t5IsaY3xPCfnpOyH8DHAC8e/t+9vH6u/B4xhM0yikziHba+/TyWCUSfIljJkZLRnb/aT1yJ15peaJLolIqbZ84w3nCACf/wUZZQDnnRATHM9lF1aShZxg9W8wsm8oDJqeCviEDWq3znL31WeEc0JcqCoM5TsaERnU1/mQ2Q90x6BBHFB9XSMfrBHOLrtgpLAxWFbQknDgP04JcqPa86JulA5As8WZ6JV+rH/TWNp3ygikPqgBWCgF2WDCCTtdCxuN+pVVqK8utQ1FlclqqgPLyycGwbH+VKAE6JFqyyTV9YVkNbLp4gzxC+g6NZxlGXAIsgQOjQD5Pvq5llHwcOa+33yhG6TiYS77e6kW/57XurjDJgQ/n9bEFxThlXR4tlNjCmqgzNytD78Y+kpwh8d5YqXklqnCPBxIzQBPRMmbFsF/eprfunkuWx8RiFzlJQq8aHIjGJoN5YAFClAjDbxOozh2pOlZC0ANL1sUiCBftb/OOvNV0BcCb/ghh/VbUtkLuctqk7ys/P3B9NyvQ1UAMfT4WI3S5xxIqhhzbnVqEncRQDh892ZRSyw5bnEd79qj9RIKiueKU+SX48XsdBO1SMMBJbWGxM2AphtM+KCvq4YUpjN5evQOXnREo8Cxh0n0xMyZ6n8vCSGg1e6YVgev4ZU9zymQ5IuqBaxOPaHuDrUz/fy/jLW4duJok3EykfrqVM0PSStXkyPdbcpx5Dbd3p91myRSP8ORI2HOEKJvVtWhncuKMkLBeIK0YHYikM9Oaj49TC7cSkkYY4XQv39qFxsVfp2ycFGxKJcZo5guD2twkyPRkXFiiIyqafCvbftGw7bO9pr7l12I7WzNYmfYe5w5EeMcvQvWE0dCTenPZTJD+eDUFVTGK04LKcFn/XAQlsBKWYQVnX5WdQhX4s04WpDRT70L8BDwBqUFWGMYm0QGgq/0WpzBn+IxyL9GM/NvVsL5Qol+2gA47S8zhwxCc/WqVkWiFc1A8Ua2oDtzuztWi3VmFfl2g5zhrFdDCesgCJHyGkAr/xdtVxz2scelRIn5p++W/hOEJAkJKHsnY4Sbye3aXCEcjjF2GUFbNaqeQWXdWlH/XUmUTieA7nFqVs3d9ztAaqEzPk+bfgjQ49MhpkiN0LqQc5ER2mDRkkwqgsmXNaR00OGsrlit+Pk9nBgJufBbVSLQxesYCM3HVxVdXwQtTjldD4mvUs0EM5xTdKNrwrAlaOKJk8a5Odaq8Yx87C9wyTMWsStBIuoVNuXQlbumykH33YxD1puuN5FdWxpzLxwVI//bBd44Ugh8W2NvNQG8mtq4GARVoKvjTpvDGiBx2Csd+67z6ZSsjSlJTA0SQTjS0XLclXFlUZNtVNRH4y/oPmaE7yMO4ck7Vtv5fa27p7NZtyJenlTgfz4paNcYeY17pebUMpS3D/GHE9hrcrKzMtkk3psQgkJAQbcPpwTESQ2/vMjuSCojU9GjzRSBTZ9fyUNIPOlGlo6rpcmHWF+uwK9fKLhMkWQ8xLyJ0lafVFBEEHFqC4HbnA4K4g2isjOIDTxFU0t/ISIcK/h2VUs61wS5HN1mNBdPr+tUpEYJJOz5UjZ9SBtngNHVb95TQhVNN8f4syxBjSWqurWv1OnBmXlsnugSM+X3OCslb7tyWvxsDHUj9wvs6kr+lGm83la+NhVi+qnbpX1e+oKeodkDdUFFuIth6xZMcBS7YOvB3JW47O1Kw30ddBHOR1GWyS5LYgAoIPbGDhFGaM5kbG6TwULgc25cUJI/dODuWJApEb2xIIw4EeBindSUItTi67mof2I4hwGC/VyiJqkGaJ7xOwNp+MxZK9il/BfLMqqW2d6/0icm/RMwJiJwJZRV/7gWFcU3WkU/sZUxmp/7Y4CeExwkxvQsd4gOMVjyg9cNHztbF45MZ0JS3gCD1m7WftxqBgGixlw1VrkXbG8LNFEqlZM6VNOs53MgmEoixim1/KglRwr5T2oWZhptaZKpLgmqKD4F0Aiv49TMYWOhZe9tCYlyo4XROd8NTo72L9OT3OPZmtNhRR72hIeSv7G530Mmj/HwqQCspP2YYM2A3ldWOEwsyz5yVaM/eRmrfeRpkpMbz7Og7tf/egYrCwhJ5M8MaZ86WbEdXIBjTy+C7iXOjdbk6wg0nqpUtasVILLN/0P9kgbYw/nPKh4lI1i9/fonPzs6iC6I484kDXk2tRo2wXmuhuflYpOYXbK2tmQD5vgAZXsTdtkFATsbEzzJTr8Yg0NpciJMlB/BILlx73bn9kIcyYWFGvvoerEDO8w8j50YzRguyb1+fAHlm0onFpPAxvnMuwr7OJyeDmfSAmX6tOLj50eVjWPw7Tmom4AvvX2gJtrn6OgBCF1TxT+dXG1BcYmOc1CjHSQvSVCOYRE8dJzYwhOSGawFWwHSRMdHGrevWADDshIxr2LL5pMz1icIbBm5WdP2z/3Z6767r0wt45hFULU5pPs2xVnz/F+2eqFwy1D0rAIwjl7rwJay6SOySuHuLUU06Ie8if4ERqdqrQ0nELydW8K4eIwLBpwSWFjZNPb20IEFU+gBs03nxlFNXAOLviAClEGLfl+RAEGOdw4U+G5VMdvg+1PhVZetc9XXOOjaTcpWDvHoZ33e9Cc2V+ya9EFX0xA/zSom8PiqfE8GCVesAbNHVB+MK+XXeObloNWGCrwbvI8cHnEcSsOOd7EfFu6275eyRA1rvs8KEcPLBPaqIi5t2qgd7Krt3K5pOugPTRQR6aZdY60h+Gb5NrIbDWiOzskMpYD00vj3/Sv7U7NWRpD5urMVN6mkZvuLWwRKr/Tgad64wdl0FQaTB7DCGvvdCbxnPhH4eVlPRUF0gPlNJ+c40jm4EhgB9LTdYFd5BKELyvs86ggC7F60vVICYU8g4NwOgbKb+J3k2y0dt0ADjCj3I8yufpZ5L3k8RXYS7Uo2GytdpbOSFiLjSRKVEh+s9IFYBEkmF0CaYSe9yexYWC0DtU2mxDmfnEZE3VBGM7XcyltE8+OejKwH0GHfSsH1uiAbot8sDyh/rTtTIVX7GQ16SF0vFgofWLuyEG1GVeoWuTdwyKJviz5JCOfBveGoiy4s6bPAA32aDG0WxGoefP+7D2etfGc05mjD1Lyhcc5xkGkmn3CY3Ex6mgvXPx1tRY0cT1X4CDMqeNbqqNIy6hKw4Azgkv2pJ/41IWm2+RaNd4AcaboDhd5/PX3UaDtb3iWvWpoH1xqnWUeqdoQWXfusbQYpgPTuPZ7IJ+3ESgpOIvRvcJZ5EgvIjhGTSYQpvhyqllBzv4iy2DhlyofIPKz9ElR64nvGOFMfn+tudIK2enUnRjsl76HZmi02+nBNtApXpTeRQK8yAykZJS3Gjp/HkeTw4quFA2DEHrvYTwZ+sh0a56FfQE3UhQ3DacEWu5EhVeq5YrbNNUOjmmyIgTgYTmOliuVFnBxf0qS6HVN6KY6dTcMuDtwfE6FAAfLw9WNOZLSR+nltVhdI6R1qFSOU5igLSNcTGNFkZAFrPpmv5u54XevEnBiUnOvY+sM1piurjWwgkqUSywc0cpdIjAWG3NL12Mm6DVaGmDKWLRMqbf08HIcxZnGlvChRgQrLJENHCucyyZg2sgNuyeNey5Io1LESawDMXx+GcQBOXrUW9mt/8+EBVEFjWcnCj3rYTcQjFyAuctQTyCnwI+vjyKtk8gBTrUw3QQPNl9wn+Eh+MmrcsAjsWvjzZWWemvxijbDgMv9H/40MxGpvd/qwUaAlQTbDV+aOsqTcYp8Hfpj7r6kGXKHD4kmKHcn0d1e7h3LE2obXyy17XuPq2AZiEuoK/JtDpAZWWtWmGGFrtcWzDm8Rtf3Jh0j1jkxRcEm1dPl0pT8oksPrHUv+Ta0xmbR3tqRnT1UDUuNVdqonNlXOOVK5GElYUwQ/CmYVuMerZ8pPROZmfNFJyWk1knQZpnTEL6c1b9Phn+D+jow41U0PqG2YeBv2YP5hr5Gp8gC6hOyo6AKHTOqFNvwhBp+voyGEnj8sVVUBAo3+LQKaUhnIJuDBx6f33VjNCxw256TGFn59ToqgbXu2uQPBrtuUj9UBgJqJqUpHQp23gJX4JCRh+NxiI0E/yjzuzfGUfokzRld3PqYt8/PwcJ77z42sl14tLpZ2F/ngrB3SEzLdAuc4/34bfgyMq6Wy6i1fI/Maq0P9VdMAWv/rG4QFq2W2cxqRQwJ5SbxCUAJpPv5qpV5KkyIXMoOI/tWprQvKpc0LW29cEO6L39JVQeiLNvZJOeCK+9cL17NDfhomCjIMnu09ijQ/U4gmkvQS/4m93g9m+4J8BRRexLIWMsWKKD+BAL7QvjdiIzjXbNeaSJGNM3Ygi2bDTrofN9ovI5xfT8g+7naaFgdMC4JqPkyaguuZaLteMOK5tTjy5B1oa4miFYjMbrO7d7Qe39sISTCOLzm5FHrN74zra9Og13nnV8cyKBGS9/5UdbPSClDvJme7wgAPtXoJYyjWItE+ZlX8AiiKQE5BjbXtp5P3rM4LY7gp9QxG5wEzIcWiSkG973VXi3wmdsTLx2ciyXGzmWDB0vkS4uIbdUKjoCAMv1UTLleLJo2C8ttl0SPdzmaudGo15wZj+n6Ldn/v7qISgvcHj9+Md9vhIev9oTXNPnNkb5pkGMPSfC8wPj2gsJgemmiPqf17mVBmnk8F8RHoOOtAJBQ6vXQstbPyH41dh/jP+Ii20Gm5UU4sGWBgxqaviEKxw6Q15NgoyFwaiIyWsgdzqipAyj9J5x+0aTesTNBSgHVN8VS453HYssvpJpwhl1lHu5DAiR+boa4LMM1MVfhWiHRwHcUXUKrffY7zw1jzFYrZjo17Jjuq5NNXxIG0Aazvm8JoQasOrpR5lZlraogoleBQrE0IR3WE8ixxUodnIqcEy6o5nWrFyHDulaT2i3JDaCnW6ZmDezmQiJ07ERHEnXKXehIEuTzGJ3wOkse0/YICotfcsjCtkrGxPFhcnmCtGGgwwGiZ+Py52FHXBSFM0/LDOdrtZHS9SPN5Xg8b64X62GqAf457ROGWPlAucVk7Cn/3j+1TFaUnizQGF669IF/JGLfqfTRg9OtMwAPINtxQSve+pTFxK3AlsCw1cd6Q/3IUXOuW/CF4J0GbWa+kCgwI81QJi4ZGHe9wCh9n+Pbev1AFeFCNVJidh02DekzYu/GiJBqE2ec0zl2uH7Svh7JYFFizNRZRggtxSI8dDafMh9N+xFxOQUDmyRU3w5tmoVFuOaTfw1xOTXXXyJlYC2WBkBAn3LDCw3GoowtiVnMCQk/6+u+GnZEXsIRUzIwgxVQbnwgzQyfRcoVL3ObSa9rSkzxjw8LUBDnYTHZxN7pBi1+unQHqcneYZeGb6wKQxdRMuzneGeUA3bYPt9UGHp5fT6Y78VUSaDcpF1G7x2s/kVdruc0QkuoigKQ2bbCpe0HC0zcbamTnAxyAMlsCjMD/0agbe+CNM6Qb0WoIPDeYQtFusmSzKl4ZypAmR0v9x3qCBBaYm5m97TTJSEqUrjAvrSWQY4mxngoByUbduizHIlHsFVmoE9Ee67k7IbimiHMOtuy88b11V2xt2cgHRG86LT/c4fIo8Dl8Zji06gj3F7Y2q4UXZ1BDcGA9hOCFMOyol+DqkaMeuHVuCLGX5oXbGTgL4h0pTdR0kyWPnS0LwulAi9imRNxpFxeQIO/X7lNYGQWmZ6bZ9mqju11w7hb28iiJY4I0BLdC49f/JpEwpzl4ScEnUfJKFBWQvQWE3Chiy7jS3+/p4T0zVBCcqka942Ldzwv91DUWeoKoDNj1GW+gKoaIwKjAeHlsgh/GnV+a0XumNe9W5DOWnUaBREmvyQJvHdnPY68z0Q/03JsOQ4ue2FejOSwzYu9qpWOoN/TYz1edNKXZXORml0R4qo5xOvRiXkvXdvQ6xjTMeW8Ok8NqNYqMjgA5t5yRWWb5ncMWhGoStXwj19aOpasn8mRWteYDuHyuCF4Im20lWW6RuCexWBjs6Hf+lt6m7YdbuwwuJk1UB9kc5nLXC0HR27nMBrO/BBE4cNSqY0gqLI+fz087R/VI5zjZCfo3ECL/+Dt/5mUD9cP6qNy4DjF+lmnCIpOb/cqtH4rLuVkdrupVSe+egR37dICxHO2O67uiAl6CElmrPl3AKdhfgNj8adNlqk8GGSye0BqKgqPMmtWIDE6RrGieoK1jgSNMsMjhHj5BoI+gAu6tsCY/fBc1Uz5hrMY+/hVBog3LBvXtlD1KoKKTQIFoV7Y5BCKrXirBPBqOf59oekYT0KSmT8qCA8vqa1PCz775jUA4fkr+XvFj78NJKTuQTakMZV37hDZ6QOr5t6gtqMdS+/TOuEzQk6pj8bPVkQZiGhshq4yyWOpnkfhZeCy4YpipMkn2Ao8ncGvwGpUmnme+gAaZ+kuN2aKJL8Uooi8/1KdzEyJnZa3ZQ18rf21WvJToZ2YGrvI5UZaPt64lCeZE46lYaH11l4ipzwtYiABM+hJhx3nQvlzM9RRTt/mfh40IOR8lAtZexzuoCfOa2PIJVsGxlSykK3U85lFNjyVlBBYS0A9emtr84Q3Jcl8r59+moexx0N4QPIqhVMp8kyH/OIrf92b8GHP95LK939iKDFDND5dn1e2e5vttRsgy1eDIE3MUg+ZIFEh9VQRJN2J+gAf0oh1yqyvJvIchQDbMvt4c/oqJcguboemy2VmCcKC2cjUUB311TGqlu010zniKQdbfzGp6OsvXOodIwdChLvCdtE0qTohUaz13jqq9lSS7dOvY//tRUQRIzbik17kFE1ZXSi50GbrMv0NIXiFJDecCl3a6O1mIYHr2AMlvXRiFXvyG+KH8sF5xGFQ3wUHWogW15fVFmifMUfjlPPzTa5NE1w8tfL/ZhvJKuzRX22VZQyg1znhA0S3jLO3sq47K2XINWVmVVQWetI+8bbVwsT2/xQCL69id4Tc3X4sT3zpUbG1UIIl/Ex4iss9xJoOmUy9YAHM1o+sYgq0sF53EqbAJ1uY1Yg38oWrUW7gg8GTsRJp/pxQB+ONRatPiSY/jq5lpX24SDC/Ky8skMHiIRbXjrCrA1bbtywsgFXqxKMZAsKrDeYCl8P7Z7Nj3XnseKyvAJAUqrpW3iui6XKjVW4tpQ0A1LtlWR5ajbsDjWqIM4izx2qDfv3BBCEsKBXU1cptXhdh2UEEjsWH5I6uzu0NlluMLSVTEbwWMtOASBJMZncNBLex+rxbzr9RVYMoOALY4bYMSalq1sWseb62UaG6AL5a0ypodoWvVQEV6ItwXP13nSRkp3/r60fnhx4n8yXJ0fsSbUaIbVIUrTXzewFHsMGavPWyySmQurXd/G4Jqg2hgReL5b+UEka7BvCbxk6l/OAxLf7UzZShNBqoFNCBChwWlu7kYu9JUNDNh06+eVsk6ct3ycNnHT0hLGurFokV4uyNW0Hcbev6sRkQRHu0BftLKiWIZTk8fxNocr5f8MUoIzOLkfUhYgGa5PZNKNMit1gfW5c40RDNptgMac2kSBcHUAnDd0rtLj1G5VuDUJVt4GPM7A6QVpogl1OmWhTaYVOJhrqxKIsp5Gq6nePR1oN0VbuKVrbId5H7DeTI08eJbzYzFZOyH9k2KkzusMRFbdn9zFiprorU9Trnnf6wSGtL2qQFJLpw7N6f+XhmZM9kszRvkHCo9KboWEkax4J+HgikP9Y/U/UvR6pleAxZUHaGu569UZNVguN64NzMpkK1Y0EXQx2q+AWV8ltYrwG5pp7F5i1t1CfR5gyoOuJ3Y2vp8NCZS8DotLhU4HmDUASrz8abA96D7LOWDlhvmHN564wEY9fsJH5bYsJlM8x26wNwSG1Gczge8pKRpII//9OqMIo99HsUTFX5gSa3VFf5TqweWnuZXx9e89PCIDKIGJXtlFYoOgeZ+DyD2IUnmhcVNV/lUClxVsVaRxTFyBZrS/Yl8iqPLFmoBNnfQq+/XwbtQhtmwmvw2ecKHodCLeosVQrmBFf35bf3050w6C95Eu/0wkO5N7X4J2I1b6VBIXXPv7cMajt+Pnjg7eMEVMRnjL8Lm1imQkZlOKfYyT5L/FJKuS7IhOsfiVzaeWjpIRiEKi5oAmcC89+ekQ5kJfdrtbbQN4lQXj4bEWZ5NEru2I6vCCCoPyabTTOPVjm0Xe7CP7VWSeD0QuOaDg2UWhqQQlMIwiMIVVDnUyH7VcRSWrKt9ofuvZie/6W9Y1qAoE/YmTghnCHbgYTGC0eQozRBvmV6lOe5AS0EDwZLNXgw1vmoNWGh0mRjxumQCy+Mj18gAQLER3KxQiX0wbwqeBexedHKZLMBNHJiR5i6//oM31d54SC3Df1UyCHLr53Ed8YNjLsRYoghDXjFiLnfG6UwAg8gl7Td1M86jMgKJDh1O5KTqcoryUGpzUt+mwbYv6k5MqjkJQG5WBUfSJ4XSzjO8OlOTrFCmGmLoH0ktaSMVqRSvQwvsQ9w1Zifqzz6OVGLBoKEljOHbKHp0JHNgKOQYC/zzYFB1qX1QHFiGCwTooLa/hdVkc1sHEeNTV/1YG3a3/zsrxjkz94p3q5A1zJJmeLSi1itAeJnqMjhAxSFR0st+HSWwRKq0Irwgm2XoHECM0/0TRAVsWBdkYYilsD3dVhkuwZdYt5Z7FKHNfpF4akxwvrpQ8zqP/X5Rv+ni6c6JMP0zGhtDEs1zawpf3NdlH1rQXf9nVM58B5sG2iZG+D2wHZzLsX7Fs+ONsYq/s6rnjM5nSa4TGu0J1XF+3pD/DEwXPKAwHneQpxZa+wAeSJiixdAjAuRQVC5e10MlR6SB1IutqQ/zGy/xzubDICK5+sl595rFmAoAiT5uiSW9Iy6/xpMeYpzt60TsftiFso2TAo1g3qbq1RJ2rr3eD8Wt9Q7XcItqMq9T+DiRZ6ZSArNP+0/XmCfF2bqFhRGdnFGzKFTPFlb4olPxHUUiGdElT+KwTB/Rfs9Qf0Wip6sva36Ir+KEkJ0yxcTx4z/QeGHm1n1mfqvX+Td9Ze6JfZC7jlsFMQq1CYdN8UjCp7aC+G/teMKmAxKTaK2uL+F0ErfV1dFjwGEbXiPbEUt48PC9mlCaMbPVvTNqSBXvjDzeeGLiCvzQ/BOxBYSygfcnokwUgnU/19W4dogLlhfZswlyn7y5fJvnicfjja9iLR8G30CVJAP8RCzrKcZQsxvlKXHdgLdqkMKOoVWVrybkM2GcfWO1WGszrChP+kkRHubXstRhZf+aaTGE8QP+Haojd60ejBwNPhvar5xam6WNd07wleJFv83i5EH3m9S6R61O4CwvsHm6QSup5rt+FuD/JPXXQEy5kf9bRnInK91aOw2zvYwlBygtrSc4M0C4fl62lIyEOU/C6KjsuCZjMWzqRXSTfTBXF/PbrbHcxrSfu8tM1qcl8YGL8iu5ywjWAiHFSPGCRHsHb7uqbDa9/pXwairw6NW525vKAuMOMKytJcW3KP3LOAOjSQkB1rhH06/MZwgJHyHjRrvwuQW8c1NZJaa/0WqcVYKunW/hTcdiVGFIAVSNGZvgJi3kPIuaQwhzVZ1Kpes0ryEraRhqttXczL/X8MErlA7HSTVp7vh8OtK852lx9BaHXuCCzk6ojYzSCqUYIC9XwAnCd0l2HZpecJaDwt+hq27RYkPi2rkKwMUlZ8qBiSEsbq3gXuSpC+Bw5w4TgIq52wZxHG70nXPxqgZMbJSY2UCUrF9GKPYUHJW9UhazIhJzSEjXkq2JLUXOTLBpM9EWiWy9Pe9mweoMUDn6MIWixbL3O7GxodoobC4Cgr7ysvHNS2b9uda2V46fzLAQu9IsRn6yOJOOYMKu/Oq24ZXnCOU/3zc7/f3qHAagPjlK9uCAzoOud9XPr8nAj9gmsw0PpNTYdTQQIjr505Nc134BP7TGZS6mDVe39UPXT4ZvchY0e7P8Dd634vfDjDJjSoePqlFXRWDP5rLzHBOx6ewxMoIvkhGUIHNGZSdFYgzzb3wBTg2dZayj0cFyWm5IZB1QWBQ/HFM9QQqhfCym7TlK3F8UmMeXbp7dJqcWqBA4GFPh2l/utiMp3hKUKKxc52zYicLwWbsMzn5sZpV3OQj2LnwEGdaesIxOxN+lXqZXXju0Ri//RgSoW3RfrJc38ucv8kjCDcT4yLuKIQXqmMXYilbw8lEsZRlQ2PKrspZBQBHOJYl04Nzt2sXm0oMlRK6hX6BWCgkMSDIg3q+G0nxzt4yHRqumMgQTt1ALFpoQzmPF2uTLkN2POVSQYipZDvVphqDStmwHCo2YcUARFt1bscytbqENzpxmokujR8yudFw/tTF//GcfKpXEoR4BVbh5ALaEGZdNwwo6ZCErVeSZCIIEV4xBQ8kInRSzCJqEf9W6r+9kJfWJjeeIN1aQy6c+cUwtVxiqccTiu1K9HXZACPB/keoF0F2/lEnFN+EbKthYV7bRCCshBa0NzNxhc/kcNFgefO5WVe2wvYPWhjF7riIoLsCwqzrAhB6wYZa2TawDrrrwmlA3kdN/7ehTYTWjxeuYfOje/blyy5ibuws57m81dfxJFGmMansXF1Z4A5SWoLiMkfm3Kpe3kzKoT7iWgi9qHHi7Egzpkgx8ffBg1G2+QcXCaadMmTaS6lsh/KXW2GR6CMsyUdXuTxxOy8MxDcDCx7VWZniSeEr4pUR+H3sirMTqB+HzC1hYydol2X4W0Zih+Wt4ljMnzfcCr5goXqM29XX6j2Ogxg1yIhTqMJgEZ1tIEDzdvq89Uueo/CZ++4/H5yDdJn454a79L6UEKtOn8urxTLjetyFSF+haQULYMHIH8j9U18THMrxEnGbXQx8IXelw3k9XBDPk8vWbTsPyurj/8/9rt5nDzcqJPeDE0VG2f+AvVXJcG4lB/TBvYLoA8vSRjl12rBdIyc4SrLsjPlQcKKM9spDrVLNLKce12vVE2M4i4q+rlq4rFeedzXMPYjRe4fAjtehCX/EtPv7gUECN8IlDM2eXf/B8oQNDD8jdUAev6IaFLQ3a1qR1ATUFnu5bOOjDY+oXfZ39XcDMoIIx2XXx4K+ucupiou0nDO0hbeg8Teudoykj760e/0CKSzL1LfaId+Af+m5hVVw7w4TO+j3nE+v/jIorDEfInwWZHdHSoJOZe4gXrkDOgQoKhzfmtISRc8OyPJf/Q6u2AVtG5ue/jfYxf0hTignaDSvyK26tbVoXscOGa/fd5DMT2Tp2wfdL0y1e8G3nuaXUEZKRJuRmBEJfdIBrlC7zTT3i/QLerW3a78W0BOU5Ua31KXbohFCJpsbTwDtSzbQM6ehKGEpqFJcQoVITkVok3mt9rE6vfRNcCfKW5NDZVuh6Srp/qKtpvZ+204/c898lJ1kgVEusl/e3jvZnTcq4nEmY0IY0E5jmuwXOSSosr3bvkLXLU68YiApTj8EmM5x8S+7De+pU+b75/zGG9WN2wmRw+a+wSs9v9pj5U1cP3TvI2bPj3N4FKPmk8wSkwJ8xpEj52GDM5OLLog7nxiAkEvRoiNrTvUoa/7ATE2BIoIkLvHZ7qJAAKusZU4NGaK2gnUnzIAu0TcQideEJiDWOwofe8ljy9iKS62ruRMm8l1d8G/hCeAs5YcUMjfbrlYXiXgdoQ3UyfYJ/jSAiAQK74BfaE7Usb5yKM9r/Ul4ruale3abz9zsgdEXXwn1ZZEPS/Ir8dEE6/dOTrnPC+kTtF7eX3ONKt664g2v5uea15fu0Ja6e+LCQPm/37peuVmSQRP+QJAIMHoqIos16rFpQp3sCBL7aQnU2YhdsqzOmLuEXH2LZUuHmdaajT5M8jYGpkseW3o4xQgLGPSYTU9ljhr5XdRoE4D6vKloThVVBX39Y5SV8tLch9KOf3Kh5oF1VoxW4Jm2UFLHcPv/Nsl+/woaGnGtF8cOZAjLnq81xF+cV9qtdpVEg7vKZN6NRuKo+BZKeruIBBmMlNaT9YJVJkBtIa4U+BY9Uyfxl9jM5yyIIQLx8UkIbSJJDwcDJeQZo2XvTzhiTKvP6CPIrtQexsPKMcdiNTuGw22PKfRMs+b+qVLVM3pekqbZESa5hjGuSB/caG50iHvjE2OJlyZpLAARK/5hFe27Q/0eLdzUI30HvR9goBK8KxBgWVV+06lsxbeJVpeJOAjy1dDSKvXDAVXr02Sul0XKYV/T84RVbpzvBLR55D2lAIFPp6DetiO3qOWRY62kSCxx5gwDR06J0zK7a0gofOky2EDYtZVzHzVtXyOxSwMafKEac22AqfKiI2hS8XtSwn9rSnWVTzpxBUEq/XEcMwxV5XrXdvuwmD5pM1fMO8eRv0ry5HsL8i3W0V38Bdc+CAoY247DHMsTf/XaILxB7NQPYyFlEcwK7DUGYvYo5XccmuSHF+WXgEADY9v6cB89NrXio9MeZP0myqnyKZUfewZTMhMsp496tGwx97Bnf6o4KrI+iBRvEV7EY1wLDtvlJG8jPb5VY1e7t9reRryjpTcC8xwxjpaif7lPkkyUikekDR8DOwv0a+RlYBHJUZPIIcPNWx49inWDFNQ61x7pbwbifKhn4yfviKud+n6E1Z0UlteZS+E18ROmHwLKckN9/y2ZK1bOzVNf6X5UibRrkmA38Gnb/ZvJyvOLGrVJlUgcUXMKtx0hQBdesW7R8aWDnPiR9FjshN7im5ZW+DThDoZZ7s/DHOxpstA8o3mvorSt1tN4CfcgT7BPlcAyuP5koIafKFtbbQFKlPoLmT2rnku4eFkTfDDdqgqgTqtWH5qRhvI5/OOkMoYDZqN3Lwyg8ntbS8QquTCMqZpE+wmc4ilQTheHmLFaGSRSjv79R+icekRvbE5dAUW94pYdPXZ6HPjNwHezuV2tqDmLngnHpm169bMk7CPYMpi9URw5OJFiJBh4X4YAlxMLqBukrqujrgGAwmZzzypKga/c7gWcXSah++wwJ9vL3mhGzP6Te868az492oXji55F/+IVUYNdgEEXY8SdlLKNoLSn+uEDT+aKIrLIwGEOGCitMMITx4qQNGBBJGyW/KLu10u/ajmjSAwGXQ6GEepZmWdG+Xe9JQk7G8+HbyEsygRd0bXEQ0PmIux/qpKhYNcXhXMh81R4VX9sDLp7Op3HW+IhL1Nob7hArFR+fjQ3fZ23pxLVfs0B315ccucIkJPoi083PuhCzbk4MlrYq7ZNCptaDaChb2pz7vDcRrmzM0NbHuw2tEnqhiTasnG8QFLOQTIsbsQR11xmwDz3rMlhfUMysG+FuKv7PLrQzSS6/2iXPqNT9j7QZIFaloLE3fqW6ql2q0vF3ljbUyOQYi3xXgXKofgUZO/aXFo5mttE2cd0Da7VVMc99auoIf5d7zOOQLlm6Ya/TomURE06k8OVsaatgjU6k1g/RNE7rDteEq49Eh9+Xrl6sjMy8/EgSwNpVdQLFD1x+ZG2IeTJ0yC637NNu43Z30qrSoQnoS8ZIJg/er3mpwhcDz1gGDOTkxXwPwbz15t9ZKcT5R2o2dLoUd6bNipx+mxOwzQ/aPiq7CMJ7mpnYb/Lbqg0EVosHkk8KuHivo/UZEWu1xEgJ/NqU0+D+I0zkbhkaV2Oos4m8gICvq/HTTaHbsqmb4Une6sl/MXKpSJlXgvgdh411Dm1nEOGfe2nExUVWZd5YjrBzx1o2u+GvrV30kdNa/Pg85zJUOp1JJTY1gMY7XzgFasSOq+ZzcMR+bnCojHX+Q+ypbYFFfcg70RKkBRC/gPEgmICXSzev4QITxMKeXef8NF5wIu5gCnrdp6oQnFGNt50VNavUPoeRsyowIJwWNQIi7lXsUbCWh11FclG4j8ZMzogXU4qbmjqlVrnRnVZoKQu8kyiv+eS6sDkAVQkKXjjy0w7JEwwcEuZxjU+3x7g86o5PPs96RXfk58WF0rsElBBeRW4lp78Pf7YFNJzg46p610JxtG1ackzeQzrUso3eDiMZop23JH1gh5oJaL86AhizZ23H7/wxlP6yNfVNxbAlDLxwc/+jeQJjgxYAEo1DbPJptmj7Fc/zArWh57IYGQc3kGaYNyUao3Y2ojRozme01pSJHVIjjgfVG8MLN0QduWNSnOxwqOYZEndUI+9NSKfopObRIq2ULdWmJndErY4T46tQ5PohrxIInUAyjoRj1ddekinOizDN+plodGDUIkHWwf19zKoKpPcXBm71cAyHlA8UYioyGVdx2thcUrMrMt6LCDGWGkw7g0JTJfYS88m1Fm1zgT6ojzmWq87p6MrFCwmctRuOdo+ZV9Wvw19VDsZv7d4t6u+ISHo6cVdBuIDcjqZChnw3hKisrdkuOLhizQ7F1X8C1YS7wNcB49se3ZmdGmPnF67uqz109+Q7WDjiAdjDVsl5JDDr/5no9+eD66qen0UwHGBl0DmD3GbLBL+lUFoFnttBpQdQrFIM9jeX97BiXATdlULqGqJq8jwD5aHCl3FQwvfWc0bdIym8Ge/Fxpu4MYvO+WLl2XHlBLObvBiexke9SZyADSzvNmaROdzzW3nThUGHiCP2Sm/pLPwY7DYdeJZ0Y4hJvRrYy5g62SR9nH2Bg7Jzzyh/PhrthJ1niqQsASC7zcgKtzaskhVyPepjjs6XYaUYeywHYzRUlDY85WyEvOwJoi4vN1gmz6XkoavuE5WGWmf6k9nxgfwl/GWcj8snx7CWnykjVC79+HGx6FBbuOQaM7soIzWFrZ6KNRpX53KWVH1I0+HhZGa2RKUj1rPiUtxOcIWO/PHET1IJD5N3F1aKasYIJ2ObkDbbjBNcLkHeCSgwv/wDWqD6+/yBnVQ0lt1ksAS6CnTqohJtuvI+vWFTMacnp5qQGwDj2uWlCzFBFlp84tscYqsM+xOjb3Ld0cRtZQi+IZVNVsWU8n7hI6u0Fcx5Bpye4i9Y6EDI0HSzKZh00P241p269ozOGHTcRF0Rr5lAYBVKRAoyvCRRECB6b82UbrfgroF3aBK+PBMHoh0rwsQgvF55561m0WfDpwjIAmDkOoL2cdpi9FTAVRBqppqBupoLZYfBLyVt+pHV4BjSGyz1oUc53IkL4n4THZ6xdrla6SgIFs/N8/rtEqrXpWW3M8YPa/0VyN3zXi5EES4gL1FJ2RzV6LcydmEcrNIj0o+nuD0ZBPqhCHbm7M/79RHWYQc1ItTysZ1LmBHCsb/ZdPWzd7RVP8q4bnrY1dnsCsjMR6/7z3a1oMNabWwXP6u/zbi0I7hpSCXC7SjpiSf2bYNy649fiX4OFqLy7DP4r+amMNYcpY/5YQlbN/nZFH1W37xZzH+2TNhOUWF6gornYp+knF59j/tR127nlRyu4/q0ACLWeUsiEqxPoSAAltNUVV9l944Bdweeaor3JedP7WQvdKgYFwo9UtmktHQKB3atLQtiNNojgm2eBv4HqOi+X2mrC8muNFy9rAymkAylGmdXsqhji6MNtPz3bCTczKKTqq16sVJeOd0lo0aWGeQStjr9rYaTHu4+5RsOB6oxecLglj0cplfnHs04sycIS13uU816ZoSXEkL7nBzSCj3qORpbNnCiG+kdwM+j0qewh7cbxSE5mIpdNsj9MCPp6/yE0d+4czKLkAblHFOzj7Fm4Quck4huiYhO47+4NCnVOGspl233VEsViN9jYkBSrSRxBYuvC9NqF8uFGt8OoPdkRQv6HJ94KfMZ1OafNNtmm8SWQc6xuUHOeDpF4muA4/I6F80BEtu47e3mI30GM//eJRshrubh8yiRvPFKAubegdX/6ZZHY2l9QBMjR8/JNAoDKWKBqN1LxY72KW+E4gcKFYJfQcJfNJMzjDFJOUU2ipE0sRGSXC/o9y7y4MWjiJ7OX0nw9GfFMgvHrA+7lcRNRQLhKs284lHFLm1GJEIG8HB5eXHIQiJs+my3D79bhextJgNTRIzfrlNe59vCx4DUoFhyaeE8C1BdAgC10LiBQ9x9/wBePOJ9JWkgLwMy5Jw+wfanZ/1TN9HZ8eMtyIFvK4kidRBkvP5v949sh/AM2un7xwuwFHWGHpGJLJvitANqTwBlgk1ND4O6Z7bIKElm9LlO43kKBQOM9pflUWEufWxmHYu0dzSwWN8R+JDNwn+7nmiTWv4XkRqUWVLhVTxmHEaUQk1Iyt3JgNX1GJt0ukQ+6ofo0rcJ1RzqDlZZbX01HiWjvYZYHeVRG89tjk2z/yH71RtJ7YSTW6cAp+YQXZvKjyh6n8/26gQZL4lvYXvddkIGbN1obhMyBDlZiSpmHl8cFoHCPGO0vGXW8RS+yknGovE4J+Cb5+DaVaz129aRVZgp9z6RgyM8fNxgMHg8Z5ThrswYROmftro0VN5pEM36mpf+8ofn4EZWBDzPsfWe8yVn72dfcRwple4E5rJly8Ote4oyhPYeAvBLKM2VCJNsshhK0UReB0q64USnHBWHihFAWKAn3Pab7ESiKX4nXD7E6Dq50OpPkSawlr/pXFBuMZIBLRtVZ7ufSFONYVflk412xaEGgEkSSUqgEsIk3ZvmmRkiNanDfkjNXFBYWQ/pVRnFlbYCxTbMQkD1Tg0g5yeultlvRzJgGuljK8eOfUo8UxZCGUTwezJAB63plW9vLI+xOVLYCDOxojY0KhI8KtfCKbyCm7/P3MMLf412pIzcIhapU4cZWrRr4f+2jVhUSc2EEF6kIQsVZvwG9rC7hIFVa6jtdN2Bkx1ZQhWuiQ3WadUgQ7X1Ej0oB6CGFAo9Ep9p4jdYQh7HZoOWyvrakATQijOp7ASovd18U0OIVvcqVwUFEWCgRw5XXwHyBPUSoOY3PxfpNN7nUFmECXlYxMO6VRGGSLxMKSlqcJ2ZjfTyGLt3xZ3EzLlS8gEtBX1v/OWChb5o0uc9lMu2ZNdW2DyDqploPU0fnYPF299YEAcPLQwgUaeb4YoEQh9GFSmvyDbM27hgGzPiXi8f7bg5U5BstSKMQDFrSB6Q9KRQ4XECwuNKSnR04VV1YW1mOPqHTjsVtqPTyddelPhXwARk2R99g3s84gamP5OEymNSLc7qhRsmcnCdXaBPskDtLpV6kvK4fw/tbXPHRjj4PKt6S8WEaZ7bJxmN+G+KlXn1L+JeKgGFWAKPE4ZvzS8xGvp6R08Pjc3O2WonKGpmG3JsLhQ7vLtceEohMggAmPrlO8MNEUt0XHrTDloiVjSUYvQR1Vf2HV3i187/NOn/g59XQSXtPxoJsHkxP+4/Wrq7ql0fXmgKHGUPulq1chLmh+91L303MNXsyZZHYsk7GjtpN1RfzKSbtyTzoAhSwkRG/IJ2Pazw/4manpix2HmXaHcRC3/rUVx9/ILmZ7aO9U9KJGjyUn3rasFxFcdnjkFsBdkKNGgslu4cYDOvBhcsj6ePuQMAm4ZPzCAWz/vtbSovNRvEG9y7aBtHtk9PayCLunmDPa7r3Ya7mDPgjGH8xf7oyHA5XuZgdiGR9+dHL3Ao6SB4zgQFAt1lgCk2oSIfoZfwa3h+uMAuc/YVonTBUg0NoFPOhgUgFd6A+h23ZoqJKWF4SH2xNAO5IbykUSvE2xw0OQ3YhACupxQgAOwjTMONiee87H7VRBZ9pRZGE04L02ibYj74gydTEu1rGKbfgYhgyw8CgeuuAmdtbKp1r0UH9VGUc967cm2o6vpVa4rVieo758D5jacPm7/TAXhoPtT1BDCNwbToFceatiCZfV4eQu6w3HURy3I6y0aCqgjDQkjy0usiT7R5n7PCNdkmHmSkKQUkNjepUg5ltuaMSKQBOpvIdDlNvZqOWLvhHH7DSHSFIk8QHaJPKGRUVDktc6b6H6ANEEwL72r9BkMg+vQeJ6X0aTxyeA/I6VUC8pF079hKFqhlmWKEbBvx7JS6qsuGwHjz9i313gmKzwv3O9Q9DrI0Mm5rCr3gZvtHY3D1xeEZ5BZBJWgyzIC0i3muh+9uX4nXD7uuCo+kAxmde5AEzcjbmJLa1gBuqzPFMUOA/jV7qaqp10UMOKwGconS1EdnPNbgKLJu3W3X7Q6npeh14lMRo6idnVcvZ1mY+I7hCNoTbpkcJm16fgBUQwF7S15Az4jNhk8YRFguMFLfSbDNpFJj/6mRRBQpWnQWoj9W9A4F3Ux+6sjXNu3FHdzjFv9C0r3WxBgXUCuF1ot8X/RJhSbIVijVZZ0kK0CdMrc/IV53mN/RTndu1NU5wbf3NNPchiMmAT8MuWKxh8s+6B4EQlfBlRa+gezaMnNixZ3w1MOlqIL+TN0kXNl08slstgtgpb8d6VtF3UQYfyztZJ3ldAoB9TsYsl3UILjZ2ndwvzwIoD9+7NyDMehjkG0nTFD/sHz5PnfvW0kcOgdVJQ0PJlLIT41VYr70lFYcdVlUYgIi6aKKtFpltbM1FjVSF9YcgT572XyI5uTseRqVeofReUQVzuPNaO7MAy6p0Vmimd6xfBHD9duk0akE2dCbF7b5+jqAzpIHKrbyuRpGftn1mOn1ICg5nah1u66NDHzcs9bH4RYpYVc9xH63u/wt1jDJh4e7Tmufy69Kb/63fmy+hJDlxa3JXxzDVmUYLLlFTzskUn2aPkot2iW3BNTL2aA9U4tLWbslwaM/J3dFWSuuj7jWkKNwq+pPswRjTMSPb3KEC5gcXtEdoBHp1tCzDb/6a9vQW6B0I/dIRn3/kuDp6rT8keTVIuYq7FT5ZmsE2nsJ77fjXxe9OYY4eTsw9Nahizna1YwjsSynO0t0SmsAQX15nesqhzPPhpia1xm1dsFzLJJs2oP6/uXGvkfh3jEFKFaJG+5OyPPVVG78DeUs+5dhIn9GB3EgIOjq4aDBPXNqxp218hseumGWX6aE4tH91NQKu5J6qy0il2hPWaSA1UNpXxCclYrCzHrJdlJ9CHBfMZdxuBGeim99+8iBbEjONuMpt9cLgTjQ00LPPmDQfStM28WaaukFeeuVlMKZ5BF4KcYiAnmhJHT/yzGRCitPbOKntJMyiWcoRXX7pfWDE0pjdBZ0VRxMulRIue4jGxm7qIG41sjsmpc0U7MZeJcE6O+vLfXdn5SgOQv5j53i0cUnKwQVaHpCA5Ca+uKTlcHbxW4C1R5xJs6d6e0wlLiNC4v12Z1AF1y3f+PQKwHyNbl6QfKjLK3fnloMAMk9aISfXHHa9HR0Bwg1p5AvRSlLA/4Z7A467cTAeaJToeR4OPBT8QtL3Mo2K36nJdkqlbcw5x/g8PHOy5tUdfeKLhfoTIz+4kXPO0BSA08I5QDT9nvWKayo1IvGhFD8MeC8B4FUt5KA4+L30vPrlAWLIiqcESo9xwYo4TvG3vj6PvDt2Fr+uQr2NJIbZ19HoHwkBBl9uDUPj0q+EBu34T+uDHIc9irqpmkVObTmfZgbjnx3COrEcsNDhRB+GoMHQgs+4JdvxvjnRTLyZiNkKbD+HpJ8f3+JrDCX+fasfjLudHc4urUuQF6WNepiKkuo07xsPRmVgYMCYzmnUblDRNxwCcF1axy8+uHIU1RY7bV4/01vGjQNMKTV/dGnAspROXSx/fnOcn+IFhS2f3tTv3g2Ul+ix4RIWklkslKPTbMO1Yu69cOKOXZsVWqQ5pIcm7vz9X5VhZyiQayvyVjuRsNs5JJnnpNYeWE0K/IzX+OgbT2zV6fwRirEuqfUezQpH5Oxy/m2QAWwRUVw3MEK3gJT/+ETUJcCSvW6VSovBikqUaZtRFvN0dm9RJ2hRoSi4e46LX3tL/fViuxok6Vqo/qtV/bhqb+dGROq1vghWSdEY/oUe5qNYSngVQMPgA/b8PJsSK6pc/dhVLjg2Ny2On7Hd0k36FmKDpjFx1MFI8IBR2XeLYEO40nzjsU+6HBhW7qI7UwHDlxOIz0QQXBhrGQE5b3H8pwLTT82K0U746tLxGwHH1ujFDcdlaqA4vj4zyj1t0WaAylX+t79pralKYL1bYpEn8dh803W3favv0XkYk7O6xtyUvBNu9rjxJq96xbXxel/pmeqVAvlk1QrSUVXE+TrdV+0/K/54buF9+orLtbhLmTXMCfz05JMWGRIN1o6cnrNUJxMaQn6MarJLwEyyXnqW8jaQEyH8atyULV2SpEt9YrzcNWMYqsyIyt39XcMD5sIQiXp1Qq5LqoWZn1pZt8Y8y4pbKfeKfXSi/jjf+aTn50umrsZqZ0dP1+8xr9qOtQ7yujX94AD/4JRzPEp0ayC5e2bFeF3xY5QuYr+cT+rHLd3d8SRC6enLC7j+rmuxmusWWonRjQyKoOFcDvWGzMte0Jcf0fOXaER5MGFsXWtoQAjpOXBjdCuK2crsGB7UxqbT4amc14bS1nDu/EV648Tn5Wfy9cuNZZfN88dM0ST8uvWax49jDjTC5ijTvSh6m88SnzfFVzjr9tp93mCS0cCGNYqxrGJxbTdtEbAjH+ifFVyB4nOfzKckwWuAXzUYMd5ZZUCW0schvACQpr3Bf49qQ5NQGKbJh//Ad2VAFbU64h2c29AMT1qfMWBu7H+pvYd7/vRjXd87yzCO0Sbi2MRBIo+aivpdK8dJH4QnO5cYsRa9IFdqTsEnu9GolzA8APWmxR+r9naT5WfJnDfPcOI21w9Fw2D6+V90+cHadT0rbNfuUHXqdW3HvG4aqZr6fx6xtgpFIX7moIz1czRXwznuvrwfq82nj736NbqXlFilyIPWmCfY5jUi3e/Un3mxGjq/e4/MiTMjpjY/rg94Ijd9Rwep2gAU/hsJ3pX7E/M3yw53R6mtqxee586rG6mu3/K2sZlNBH/uLglOtRTdzGoAiJninC1VKBvmxe28uEtBz9cZx/sRMBBq6bXJfDlWdihF+b5Ft1DqOpm75VSf/W7bMWWE3ZiEt//mm7NiUT3+9aU0xw4xTm/1nzXflVSx2dEa5kkZqxC6bhE8aRzwJgSrHMoU7lMtBjyz2VCHDXHLEL6seXGkuk7KZpuVWXFbQ4UCOyBoE+kz1IayPGETEC0/M1sL2SGSHOB0knCR0MCHq4XI9ugSN1QJtjp+5hkuByCLCkGADiktl0XOKgI9xmPq5WyClcqlf1/bedBBckxIGg6ggm5dCT47Oz6PK1qMbwj3SPxEwXGPDqIeZlpKQjd61Kr9gdtjEDpuuuq4Oo0zo9X8mscB9k8XXXLxp3i26XbChd/a1o16PI3oQzqtk9HAuBrNq2Xe9QjnSmR+nCMENVls5IcNEfVO9ckgergaZpz6njEALi2+fwE3Tjc90/94F05MSoj4U9E/FCd+DprU7/WCITRJG1GimQVXHbgopW/DM5O/5Enz5u3prjpnNYXNZ6/AQJQkcLix7e+WreCxiCEUNT43GPuakarN9SbYPk1h3UIoJSxNP+AEzB1gWJoNTWc/OHO8KWenxLdSZqPaCjm4kusVJvWWo4HGwKRuEUIDhhskUWIrGgFwO78x3y7VRHvOEg3PTxZKyJdAmrVJmLksaCkYmmv9OpAPGv4v/9o7xMjfae6gVmhhQFvlwnSJ8++G+9XRN9nPAtNEDzrb0IAIC4jqeqs76wLxkfVi8A2R4FQfwGDEiC4m5H7IkfuIsMRqnqyDzPLbn3oKfVGpDF3TXUqk9HLmdmQCdG57ECXgCcipwoFCQWiZRRkdcFW1EsoOzPsSGmF7bwbUGVVjV7R2sJ74NPabe6JCFnBOrFt72kykdz78FwoDpj7hyP6UDGsWe62sQJQ1RSqggS3mqC5PJANPnNaXx0YmUjlaPe5C6zTtNN7UqMTawbhyl/SNiainHKllbZX1I172O6vGwOrZvyFINNufFqIufdpUW7a1t2dCQ+POQtrWIQrFrTMfpgsML2EsRIyNXBlGDM7WpZLdxzsSAo6Y878z0kZZEcz8l8KyXqa64ZsSZXXr7Z0Pmvu1r66DUAm62DfXS9l38Zlbm1zHVt2w/0aNrvM1MYjvZid+kFv0pjIMbSA1NyJInrC57xWuNx8A01w6dbM+9gDCkxuB178HX/Mxr1z+1lFKBQfTK0pHk8/OBIk6kRB1A83p6FXb+RNqDpEJN9yZXTMSr8lOWV9Id5jOmHcE4O3Pn6tpFOjhcPOiYDr+OM5N1+NOBcJ8PRhDD/6YtUs/jCjz9kgrebcUfyASDcc3BHX6LwIJAssJyzSAkH0vQZf0/0GZKRzvpPujEKIc++UwWk8hQfTANL1FMYTmVSL2BwzTh5+EQ4OpQ4GRTXY+eYddYbJcxw3/f+2AZaJsXhd/XjDb8ruPYg2SqHvrn3YhkSs3MFSuyqGbM564cYTLWJAvMfFy61UuiFf2OP7IKgeJfA1/KVoeV2uTT9k5ZFutvZGQVFVlih8U6R20Wi3EffEIKEml8ExBLf4mSjuFkvoq0jlMktafFbJVdAF+6Iu1djkBuaD49WGjnCNg+Hy6nV6f8WGdRcM5hYXj2JlLoG3hCBog/GXA4DzBS/MhbHI4kbEYbgqBJTDFt+2J90CDLmkfX1LRp9e1HFhSuEEQTMDIO7rzUuHknkM/SZID3lGBl8jHSD1D2z8rxx26MZ0+ovjd6jSci7GNKTfdk0gT0p7CjfDjPro8m+57lNkhGMJlCYTPmH+PFn+zGtn/NOkchkSW+8zm/8Qq6WqOWsex0rfwWviRCB/2x6ZvADmYRjRBuPMBCfRN4aYGY6+rY8iNp6zCnsbc9n9S63a/J5SHy3cGN2ZcomtiORnaxNPRgfQ6MVP0DPrdZ98YOwQ0o+Re/PperShlSZjKqtb+cYxvJMUDAAVXSBIxsaFvl9xJIQMV24ZXq+urCQUC3nxLYYp3bDhwX7wByNTtOUC1ZF0Mg5Hbm65fo7StXknMzEhdXMbpp838NW+nR+nCkc4yCquNulnqzvP5UM5fEyrDbhE/AhafiyY2E4mlvkQ2166yLGP3tf1q6K5n+TQh9I2srbUMcp7I7WTRe7v0nJWx8147JsnC7R6Sx0B0HwRA7aZdrqwpmNHpR30ADUAUGrYbdMZA1zfBOwJukDaPkQaJUiKNWDJKgPE6P+nH9LddNEcANNu4bVsv/bIOmgS87y0W6WE91Z0oht6B4ZG/W8hX+P3rWqcpTke/w2rBzJNpIhOEV5k02jVGrxC+xQ3vQwO4CO1HDEwTv4Srq8BcGWCbbWDAzQBgOSWtsEvn+zvCFue1OPlklUaCfRaA8rJNKWrAJFHwgWPQElymN4DrvPOJLJP1IcHy/TgdEYuL/E4DMOghlWGqf/Y5mmuh1STR+ZD0/2kDZW3hmNKh8WG68h4s/fFhoMkQJXPN6CjaJ0oiqXmbyMWPDQy48EznYT7BO1Pho5AoGWsYl+7RT/s6hPY2WrMU0TY3wevvyqGr0AqTBNK5HAt/jNuMVgLnq4bBRXujM6AL1cuMkm7QF7rq5Y29O5JBHJIjiUV7xAO55H8gPPDy/z+Ny2qZnUYBAltwEL4pwFfYsaodC0iQl/ApMa55P/xyHFplbatBGwe79KRPMmUg597Gn1/Y6dio2tqNYFuN2rZ7wpQBXBE6O2Wh/T7yEzbuSrbnODjco0iv3gdIk0j6G+nUa5+h1K5u0nJ969V+qlF/uOZGTpcoImhbb0wMHSDP0cWo5nUZTmfuJSnmdHiKpbEH7g2Y5M8XH5mBQ7a9tF4CAiwRJ2yX1vgcWa0nhQLZEdyOr/98ZZlevmnK/fwpKFGpAwLeRqV3qoieR8bf+oBCKTU31aJGv+jGZ0hueyIbn/zyysZZ4Qs5MbzqI6n/X1Ml4Wt+DMUoAtPAp1FYGdyrULdsKfE74iywKsJAosEXIvc4OAVi0B5DfihcuHb0lyMP/mWS5ZUyK+moKLnOCX5/mnLceF1mJs626oIIoNuYc8SZm7aJ9wVJAhR03qCdTLvzxVyTRUOs/yRXZC1Fd5mb/L7xo0bUnffUqhkROLMObvJhwIWEunhgyFqQV6kK2xMmmYsfWZhXoC1kPuHOSDmcaqmCcWp7lGj2kb/7jHOHlMBY0i39htujNcGT2xWEb8kzNL/puxJ37LllbNmuE14U9/o7tYE62f60Nd5eBs3I1YnoQEzeU8yHKbuK7igDKTIp/BVLlhQl8o91VeUC8beRbZ0tBE4zGnXxL+eYxE3TPtrEhlG1ctNVf/C47DjhLFUdtqY9sH64NGwR2Rj1aI1d6CHGbE+jedsq36g9fHav96uup6VKhlBOywX1bLo9vzLRNCOhlvSsaVHkJtBUvm6pPlNGwFFPLM3mgC1afjE1nfvqrO0ZuMQVzxRbTL7n+ouz2BhiF/rzvm/+o4VN9iwcIfuUY1BgGvPqTsITvUBKivIPAZr1K9u3Z6lLvwuIJScbAWHvN91mY1bYa8RPP83JpLI4gv4uE5aADSac98iw9Uv7tFJJMcsyadn2LlK4HWhq8qzbo5CEHt2dSapfW+ooTLKsuxmk53k74dM3g1ntpw3NRPvXMkQq17FBVhxY5X/FsgHtY5gZT7Me0aKbzD56CdomI4MNLDNt7Au3NwXTivBbGtAT7c09fW0GgyUiHgZrWocSKGmLaxdL+mBQ/QTWLy5xs+nviEI3rxsvgh6xK2We8DPQMPl4v84O7YCS3HBLd7M6F3zAK690RQMj3CMdksURLHwFq9h5isNAY6xUTGScfiGVWvzHF8IOB/dEX8y9N85yZxrpVwt73Mjk7QToGHc6jEeXZPh9BnmyX/vJZZK4Iv7g2QT5zhYM9woLHoxE0skhPyBX8NLTXu7Pm0ajPth7vG2r/MSX07U9D1W4xVrIkGBm7H1zHVYjwGP19Dzd1XPmrgJh1jR2mrl/3j2/MQh4r1HzHcS576DDHSON6OkQ7cH0v8wZft9YHJ8L1ZHer2x0SXqB/xKGX+TwP5bomNxc5Ta3+0CZdqIE4YAMTdPNNl3r4B+PpHQzXCNeepbxxGo1FnnxNVnCAwCHUcdNS7tcuuaCqrgxOeBln1yPcVS9XXiKKid+Dt/7qZEz3ciAKAt1NDtxxISd7xR2DSUA9l7khlTfny7oKZvOdi1JjUaLogTNfJeb2nTUWPjuHQrBSZRVziIt1QTlIGer5oG/4qBQYYzT0r0oHsXfJX/yd5eYqMVOkTNoKe3yIIo3b5taCbs7yeMIHv2Zgxk400x0BrQ2BYjTttlA0EtgGzgZymiq3emJbqw/+PmDNvKVGMiAsVr+RG3JabOmguDO+Hsr+fmkeDGy0tSHs7t2LLNYENY7gPyrkY7Qo0FUJKnVYAOCS2SoFp3c7LMaxBBTn0RuoV1MZzKpL8g5gTTonTk4G4+DeZLxaVP3YUbY5BvPg9emTI1bWOKFs2OjQmzUeTBiCK4xuEdxZT3EwNU5B9afNdDOAa4AAnrzf1BDN29tu3KWQYnkmj3pMkYA+I4tv06pvPWKXXU1leQNnXCvaSNgb8TbxCn2Jt0f5moMVD/oA4xcelmOmzmIWi6u4eY1VxlE6GMpQYyaua2ogjN4sahaC8H4HjlQuKLL/IesmLnHgolpZ+WdWHH2ne+ZLdvWYuWmdjzspGEyM3GK6jGw0H9qJtvuWmYEhEQ/ni4h6MDiBm5iv1AW0GmaVjM++fk70/A/PlSk/1Z2POvH/xPS1ayQtSam4BL9+iRC+OCegBkty6Ycd0f5HDi5ILY4UjHzBuYJAc33Hj3Dd6hKCK+MQS1FNvYHojpMvH/sC9ZxBbpsrCe9Z4onuXRT8hdI217cQx3UpOfFhczaSvytM6UOm8eqrrAjX1imSuPKQRrIOiBsnaiQvKD0Afv/d3A4+RbPXNCifwKPNwcd/UWWvm51a8933/e5bkBZ5LPVst1pqw7JDukKfRg9pyLwgco3Lr6SVj5HjQcToGvhKwX1lBHfLF7rEq6Cr+Y0FP+hUBv/DSsMA1dXfaws9+SIm5yrQc7E6/E1Rdcm5qpqEV7Z8HRjI/87FqwYoCCOHHkUAHfUyWj9FheXHnsFsY/R3XCkxvvoXRNXTxtsZp78k43GiFDiqdX/NewgOOP9tXw8nibryU7JSXqyWs4eRO/8jSvCreRjvGYs2YJ1v0ToYKwMcKVTktXhtynq68G9+Zg6dWvg/sBhDxEPMIem4ox05ZO4GEVanggXmcK1WaQi2f5e4GW4MhS4x9WY7/OQW7A2vtKT6qyfWetcoXuFsV6IKu2UbmTc8VArdzTAubclmI8RKNJzLT62Z2VlKsP//XK0eadfLbNvZt1wppMzbV9Iq1T2o3C52gHWdeO1RDHwzbCvnPBrrVftAiVGUmlkZfJc+0Q6ErcdjunFtcRaSk56GKWE+EPcOd6uX1n0+ab60EDfQlRf8WIFIR9+i6miMv+ap6qQm8m8IhPHDQgXU+Xou5ckldZc2p9xiV+DpVJuQkIc8QCiefT5H9cjBxWi+mroBjiDq39NeqT/p7If8742aPLuwjXiShF7wPU2GGra7Uf5Mt57F0uhEsiwAvTprPAXxQqutrVnpMqdZGQuno3k7JGF5kMg5c4+/UO7K8l+G3sXA+ee5phFf8lrHEGl8AP0GD4uxBAdY9xjrmgqlCL0B3yJ7+wqPIHennd5Wt5/zN9XONJBn+eJINWLtnCTfbgwnV5agpjqp8qWvIBdI9tPUVyYLlQnEjfvdYSsj3VsJI7/86Ovk3FAFPThq9cMZH6Mi5sX3kjyJ5O5kUHk/+xgKE0EOhN3eVPMeyhFj4qsafXZeEb4xVUBwU2wiCUq5fU8obM8sqvfM4G2992+rsddN91fhLNXKLdmAseOSLDG2COHCrh779q1YgfvkAmDwa/RF11xGOpe/r0LUoWl9QaHUTmnWEg9IZaraADX5zRFSaOuHnb1tS9yvhXie1Wm4DNRihVljAoQWkQbCIgEw1ztA9thTFCHYjw40M7JCtOOymLBSztdlCH/4Q6ZYKmVMvgHV32DP4931suGyvyeyTCmNBygZa4yO1Tko0JzR7xjDAg8Y7mpHJg6bhLtiVh7PSQB5l4MD3EPj2CUGbUZzpW757oD+kYTZlqPdzyKzJtYB51ddPgYoQmYygvv1pnNLPNFdxfBSMx6VlWIeYApuGXbVz95dhPBXcXvvuTfgYlsh/IVu/E5OA2+yYqzei1R2D8CuAUqylbgTM/BL/DxnuSXMOmKCd8Xqcx6j8ZwP3C9d+U4cFW3U2GtG0mSSvw0WyOHb3uPhLuC7ToE262ft/VF0pDoHxrxY0tGrHQGJvO5k7zWKCVN5wz9lr4a6ZGGbOiWki5fzXLtp6vVl3Ttw9lpgqYpOaOA9BENWFdmhdPbFbLj+3VlcB0W7gylZa7ps4CxsuPpRByrgPXHf/Pdclo+1YZ+efOqHKyVC+Ets2tzVz/yKfwyHORm9abkgedAWP7+IMqfcZ/tCQvwGQH0WgryCEz/3OK7uT9Rk8zOFrjW2dyB/VP20sDcWZaDX/Y7ELG31oYERg73r05POA5abJlZ7/0YcHdEVoGDO6yND0PieCX29KzF2Z2dkLuV5SOybp3wokTIF814Vugf1o2zc8SzPjnFOF/2sFL7jXgsIIi4v3GsSRTjDwELn4ZdCRH1qDELr1Scuzuio42zEzGHnAcOyZwXKpb3TiSgeeochuls2CVbWJbf/Hu47mLNjYbb99a7qWLeol6kyg7DiiVUc6KzI7dGc/NYUr8fBxFz/7EpIc2xAA3UaZ/sharDPeLkUkSRi093xZux1viwoIk8h1pabOhAPoKnpclk1H3dzxQx8iw2dMoZkkSzBrFuU6rL5gY2Zgl9lIQZ0nl5n28GzUXWooG3EwjmGBN5HpCl0C3VwB1XIYcNm6+Fxuzm7pseCuCPUEY2nS/YljsTljxXOhF5PlP3jyfePKFcy4w7BgozoQOVR4AfmFvhWfPjjsKl3ezmdqUXzTiKL5SwnL/B3ksPzn1JgiIsq0k0xLelQ1hiSFhOZB63hk3yNyUKlvfEVsWNCOM75femzPAb2m8qoE2fQCA4GgZp1D9n9fwQKk9ADUBO3D4M5nZzF6rsJnblZUBYIj7zZs1oQuBbuji6JduKwreyu0awgQKoUMEEnzAnxwhJaqlmnDMjcVd+kT6flrGpyGWdReKHd4Zhj/5y0coe+icuAY2CAZGwqQC68pH5BnVA2C+iyJhKJhHZx+mc3xE4HzhryaGIqDUtTzhmV5ksG0pcL7TYCYJ4ofv8vuh1gtC1W0yy1cpg7dXOWLD/rwPiyDfGx6her630L/SUxNokTq1NOFVQ2v6r1X/VTH0sOyVe2PfsBMPD6WAEnd/p9WyWnOICqEOLzF8dtc2a9P3T/wmz2AtDhQKUkfuD4L3HJDuzHprHgC5kVNtkfx+7wftZuk2wpUQspPOeygGJJpjzdEdqE9Are1lA4UcJwXZfmuHDWuivuKKOqtMt2a6wlUts55CI4b6bDAzoKTs/m47inkqrBZZgT/vDr50hhmrUENSc+JkAzpaYrDheX+nHg7HlYv31BZSZeeverp3FlcPiMNIyOaLn5C1DPnZLkZ53SS0Vci4HPEF35lilShOgaZOSBCVVSR/UJMZQ+fb7n8szVIYbO8wL7UOAUz7KyfCjANKAryFhJwhXLlHDKg4mKgfhLDZAH4SyAUukiTUOQxbc3Le2A6EntKPXeieiu2UICC6RpdifH9KXIn55i/p6G6goww1jDtAVVAgDLnM8x8KdDftPBCR6e56zBx+jalrpLWI3eV9h8y1FIVk8WzH2pjs9z+rqJSLOwK0Eh5cGWuWSyxpNHf03e/ncTZZI6rPAJBSMMidsIw/0u+PdCiBfrQ5wPmocVbgw6w7lg0sYNk8tKC0X3hs4HlempWTETvFl/VYgWle0JgJ85zvtL33g30QsDwGbeT1kKYS0yq3xu51EC6i2gtzV3sGaI3EdtTZxHChIdV2USTfkt5ef3iBLWrOSghQvJ9mcmmou13e1Vgs+0GOPuAY7UjwEVLQic2SDV79vuKpfZnKTnV94qUoNJqinECQfaOi7U52izAGD/SvHyc2UN/RxwkYI2XpEi2nk2mS4ZGtLOnh+BUkC8SjymWFn1pQhwf7nDGrQWDoqbqvPNRYC+615zEPuRbkZtZgNF38mpbTEMvZFyjrU2Z/BXOf/dleLIKgdV3VbL+B1kaiZTgo28E8+7yQivHzOkGICdqXnK4pSdI7qsnFoygXwZNl7qyPkYPaXWlL0g/GwrbBOcHN01fb3bomb8qkFtIL+eoZ8Nhx5pekbMDqLUQHv4qfF5GyDdopIjKySVynoXGuOwRxAFpaOxJgw3naYBPQkOVG0LH9MC9kALuKIUC6VzQBqudVGxa4zzfco+ubb8rL7NHICJuu8tAFc7q5yxwDxqyeRClfRHFLDsd6aY8vv5dVtIr20tVmNQKrdgLqyADaGZpgPcIcyddLd0kb7aGm6I4KKu/+7rk0TpItjxRi8mjvA8HM9igUWW30hq40jQvgMhaCn1ZXE0HigY4Or+JjfcyytDlNQMkGOSIH7Sj6+bflONQE1wr8RZ9oBNIxBusA5R+ruglJu3xbHjQIxr6LxUBXZcZYdW0Lgf56cE5n6FurhJGd9844BatJ1sULNTARgdyUN9KrV3DnYi9SdtQRJaRxeKpNVOyv1oOH4o1AhLlz7YXnUCt5SQnAsYQSXlAY0nx2MG/hJFy1xTtuVpkLRfzPRjnq823Zj1sleyOU9DvTZHRo1NfdWmVQ6T4e1tPP9quqkZTxmPk+urS3aQ201XTie4vRxUN3VEyY3Bv6Vb5Q3qgp5ybD3V4eoi+MPV3Ngw/nir0QH+LX+DIIV1EKN4s4nZ35S760A050hMUwgCX4YkW+6UN8wmCZKLo3in8q9fKGHq5061cj0+jXivP2qWbQ8F0BmBtgymAQKxWWU46PRz39VKHmq7xB15hUCZrfTnW8vwINoGC9skIQHO9B4OAsbLaO6mckP3SYW0B/IW2kWoQByNCkKhTh97y+XxAO/0aseFb6+rwrmU94AfGnneVFVvj6Fcuxb/rVQtj3ghUhV2u/HWz+Xl2kXumCyAQUEU28n/h4UoroPHmD+W4aNfMQ220OF0uOYp3h5xtQfBFJ9i0YHeOOrcXFtpOye19T7Rmxo7Tjiorn8Fi70BaBliwqYN7XQCHZZEiJf3l3eZL8ZxvqYENwtJkrEdSNzJ6yPG7JnDNtq2vymZ93eInAfJ//EPXBoe15p+bh/FwACY/FIzHBHQGO0HJh7nQhzJWnNMTIAKsmjbYQ2ajm8v+dFv6cZoUxeQmF1HRg4XZVzYZ7R/VjvznWcCjew+hJ4xCJqhDSenUY4OOM7Qq4v2o6iGSF2RMdPcPHfbyrYSO6wtbLAKbJISLJGadpSYKtP7hUY7SX2YN4l07UNWiAk5cWQ+XJ5rlj+62DxIg4jy+Aw1pjscIES7TJ3EUdkk8ULyo+A9sCNi2B9YXl0pPqtIu62nBN6SzDzaj9CRU2a/HYuYEWpXWh511vRheLEU7GDse952cLodAcdU6YQhfxAGrcyaec+Qxv68/Xxcge/Yv+ow6MhRmGl21k3vTYMwTiq3ps6Nt/PpoW4jDXWIUfah5hzc+B82nxD/cYX471JAzOg59BDXide6GhLpYNfNWem9VJ6AsasTWPuhkLzDkfKHbB6d7wOjniqs3daz773HjloIq0PYiCSKYgVH29ATkpk1MZl4xtmyPgXDF0MEk+DUMIuSNEDepv8+oha6GO4R5sRVejvmbbeTqFlndMA1mw3ERAcVBEASU+vXECdJH142ygtLfIsHHvJLzjPAmbJO0yMuVM0ZIMPXozLpQQJwIv1PX7592FNqr7f/PISOvz44pGOgjd4pMiloV1VpOq2KBGVE0OfXTRpIJwhgWD9JeLZ8ts7xbixqFBNRWfAPoZDhrfXa/4Z/eNw9PpWJwpeDp2F+lH9XpMHCPI+lugKlqKH6f+wNa+eHFEGU6qxgEZcXfO8oNl3lYu3+BlBb41wOIN5bFgPVroBdIGgv8oi3lxnDSs1Jb6TWqQfGVHoRVVQdvfWIdwCHN9sctgzSeai+FeT8uNqWcRkmf4+Nd8C4nGDffLcI0h2J7Nsz+3dqyBpDtVP4shvwDI9DW3MoUDcFh/a8A7HUPUpMkJYtvvjHHIl0FVsOGNF6VL9BUc+JcsRjwqi2MFdVyL+npjPlImG/EcsiQpxb0dg9pzRZ55Bgi+SztOZfe4C9T0KYOw5pDJfgkvoESy1Qbtt/iGAH5j/+h47eo9VcCh5XL0NlwvP2GuoZdaIXTdRmsJw/yN3cIJGQlW70qAkMyC5gBYA+aVbLunNyYaAZuM3MIOSCENAfYt6kmEDCJWt1xFb04BkAxHqLKmEVrdXuiMayhnuj59oWJ6nJKG1L/IxuhK88T7WjHPV8sGYoZIVNIHBnU9ewCWZJAg0BvIOM7KLgSCppsRQ0Jr9+CHh0NoV42eDdE+qmDuKnhNWhLYR0dnl6OhVDKQsqJfj1yBGVhPnJfpUL7HBuFUxyEuY1A1nFx53CzPEZh6KvdMJrhcO82ih7wQpHQm25C2E/kxBJBH5qcAENghqBphC1PAPObAUihzOUVJBtUOxDh21v6O2xLBX+OzIqx8v8h7SU+4N6uNYuGwLDyGvu04m6efLnUGJ2BWxlD3tgJHqzA4BT7GWce6Y08eszp47JV2l1B3PfV9G9rP6A5H5ZlFBb8T3Cj6HAWRFppil+UMly653/pk54EkNBBBaukJSVNXSVIdxw/Rhbde9udYo51X/eq7eLAlSNpJFbhFFQNA7L/dO4MgEr+wjagYOunjACRC87yiT7Ix7qc9uNJ1UWOyNqweLNey3FXrL4HFfpiDcvF9Mr7Cb1YaO1kHPZn7lw2fYF+px1P7Gku75Is3PRveGWkWQW+9aJbZ9XGGfJYKEkbUWekAYVJgQFckLizVTljV+JM5ofZ56XftGJXl+zhvnxfnsvPYEiGn1bJ5uBJQ1V9UJiuxqzP5PRqAI3idSoyAszPqLQwMhXmBYdQykJcsdbicLI8iwr+fFXX6Xx31bpQpZZGEpE601FkpJmrArkliS9dt2StxIxAp7yedtbETJmm9Vb0Kq8Tito8fCFyPuHLxyg7iWfKfUJOu7RVqwpLglytCtqdwejfTVldZX3qRf/uaRyT3acgRasGcO+pZpY326JdtQMyQ0l9PQiz4KjE1GWXw3oCqXmEMJovNyX0+0xXMKAFW8lKX+43S+X68BMKMQlJYjN9Rivg3KE3hdV9T3GtvlyvkK3qhgeKYa5T0t2G002rOEoqia0j8FXrgXU+cP1t4CzHfSWhD8ItpoT8WwzniEdbxWCP/6AFFP08CTEWB6uiEilJNOgSoYUgyzhiXP0a8X4zowBL/wtF8wpv0kWuJjUOzgkiZOGtTdynhXHa0qiJJLB6fX3eby4Cm7SPpUgHT1YGDm/tV3K3o2LzJdhlRspIo2ZjgnlcTTs/7e1y2rMMcunvpe0SE9DJaMNohWW+5qMZ0CZnwtJPZNwRzknipN30wST0HE6ljDnImC0RCooSO5jABkS73LpryD41i1v5b+y+RLRjeSVwyQlVWHyTIMUy3U0zvx/5yLCfQ8XwsyF045jXHBUJH6tq8k38b/o3l5NgQPTmFlhYnvCY0FtDep0C2qXjiQcUwaUIbcs+5asxHvtzA1ubJsBNnsryuCyExYrSVxNGlwqOzHAadia+z2HdZkTd32KZmy88dxitxnUVqhObrjWcPmRHrH4AIG7dTAl92qK+r/0F2qAlzJanqllmXR6XktJSj5yGFu8tZ99KAhWk7QgrhaMHOeRS/GMTFZNW6+To3hdOvYgzss1E1xqpIxK6pSCxWJYRNGHY0FxIs/1oDAFtzj+xbJqbYNrTAAb+kO0aQokZZaLfy1+gfjprA0ZvJo3HCrJEG6tuGh5hHMzusZPN9qb8/WKbr6veqG4VFajova8ILMr3kkeA9/3JHneIc0kOjYg+TnVFIXHLOjo8tT9S0noXcee9TTb3L6KxH31u/fz0mNIuxYlJs0X8jZYQ1HNHI4U+YV3/HA0+XGYNsSmadLBGPpiLoGCeTrgvw7buAxftK77BzoyqFKuFsTnU+UmjWxvY2glDsBNI4ubSkmO0XyXA/Nsqjp8kF313Vh78KPYy9CwSkV3BxWbeHv132bmRbm56/KTyAppSZFkH6a4DKSFykrPl7ePBEe79kwCJeZx84BjAstj44Af1xi0sXDV06tqJs5tGI6FDP70ZW3++r0ryo+XD+HkyFGhjln7p94/G+c3zVTUZUjWgAUBcqT8PIJWLKiz0AUVJu1cRRGpfymFiya9fqnRKtwPcvMA6NYVu4+ZtNNNctohuUpCQ5iWWSqpwlLeXeVL8tQQ3Grvr97cBPZtZp6sKmd7E/PB3GQ7vf+lZFGky2D1XsQy4R5jQOoT+BWQNgpRdU2N96bIZNMVjWZZOmlFWpT6NKBYGYgcfmrEAYvgKZgwKxi5K4pDk5NrC3U1ZeIWsRgIK1ZzQoj3cwYB5lruq2dzW1G92S3PCm63i4U5nvpPB5/asBkyCvB99gG78yGldfS5Ib1e9WTg4LrhNDi5QAamapNllR63kw0pfcvjeY/CcX+YTIaTsH5D1YYjx3XHkaXJblFA9FGLRuJHsVsAB/SnRDYqB7pC5CxgXMzbBPe30ZjGOqLD2u3mYQXtidlaNCrOqiH6lXuUIy+hvDTy6b18C0CY/+cY2/p5RkwbUTzWfDUn5UtRrR0KD41x6UH0YfCHdAfqHe6lDRuNwClNjJCBqRfGztTnjqZOtbnG/t64amG1YppZi70Sfc5uyEYjYOz013BFoJrBmYRwZdrfVA/xD9Bzfn+smAMCBT6v6qlgKj1WmlEsZxCJDkRmGhxwhOoFKYcOhHfBrWFyuOZE1UvyzSHFPpdfhnWZt2WCiX/q61WJ5gJpKS4b869cBopBeU6Vd5CbItmBHET7mC//7hQ9ErWIk/i2eTLO5Zsotjy6/BXnqup27pheAvvLh7uuz1onB+w9qaS1+Mypjd5mIpkh2vA3LGjolanynCfwX0J72KHogfU6Nxihu1u+pll7D5F5EyMfdalFldH0dDlIBgAlDnGrS2hEuJ1KLo1XojYclaL4ZIXk770D9c5QRTa+WVXy4Xf8GORrShEqeMB9V7UDbfff+PmI28jcZVLY/YpaFoZQ6Jjb87xxdKpPr31aysR5jZKg4wCrwVoS6bVgZPDRQDw1Pbtuag6UJFSeNe0CSNmeONhPRrDR44/e/DN6vp3otxsTJZKEsTD1bm+Mq2RkoxteFy+yJcaY4edoqntylARKnxVogymVUgaQrIx8tTrO7Allfek4L9OAzOBB6Qd0QTrlnRsqSXsSrXtd+xm7wMBoE1JPUSulUlybs9p+B01dcOyPVuRUvjeYgiDY+99EZPDYmAGp7NPMdxv8D8BDDuIcjh8S2QdiJcHGiuehq8pVaLmt18ICi0N6Bz+4ZXjj+ab7osgJTqJ5ld5tx0MqheLNXC4K+VePTII0uWoBlnVgyUW9CmmxhB611k+aDslbweL6ulfaQUUGrggO9TAU+W5ADSzrgkmWJa4So7AECjoTrt+vw5fAXeivkyoze1qAQDhAw/sym/snwtE8Pf5caojqjgbLJLVKhVufpq9C8OJY54kgOZPTiY/Qvm5++QqsyTkRH9a1KAj8CNLS3pevGCbDjKuXX634QFu8YsSwkTOeRfeWa4c+vjMJ56y3hKv4zOox8HyjxtU+1//Jq9Sb6n8PMsZTeDpc/Vh1faEkdWHmvU9GWgpwKJezUvxK23F0d5VzwP87GugQy/Y+HaoylM+qh3UIeE1eg1VVoavuaWFPIMTiFV0AuJBXrXZ9iJ7S3teUtoLvNeuSgczzBgIE7RRza9poWfKzYN3BqQ+XJ3M0AUQwoozzee/U2zYTjiMu2490aTmTTpvnwgXzrFvKJXWhlhpVuR6ncAuf2v+zTe4NtJBQHmH+T1sFXtOklEyI/Dt7TWX6oNww60QolbV3yB4m1jUaX/1K0xkfui0BVbXvVYMwTkeP0t+oQkbgTmf4pNtS3o6251xGLFaAoed/mR9hrI3yMrRPYczgqEM+4hRT2wt/EHPgrZeVtIjOGbVGYx1CPBjK4W0tuLD7XG12Bjk2HwczNHlG9MnLQJw/QshwFuu81SBG13AlDfIftQkBTYxDOXEzIwMHx92Sr9yifFgE6R541WyBTn9S0RZau7rM1Gwg1c+E9WgraRT0sD/ZEeYn+oCoQW+sxdxjLhdVii+U5lMS/udIqBD8qgNbnNhE7peguBNmJ97As411DH3S75QHPN7+G0I8Ueu9qSsU/hDuLO/mBh4DpkPK/trrLU3tV5zYvHGgjUO2WsbtwlA0wZUXADsLBWtNr7cMeiMw7c4OIHhXdJs6bw8BZdtHwkFE6BugaehDaigUh7tf9UNI67EyFmGOQPVg+ZeuGEKAn1KnKh8ZPdigCNyMUcnfgIhu9Yhx71Jq1o5sbP97BrlG+arsJFNP2bH2nUrJItnPMmpdz1OfltLxzkEPAKVwvWCLY+lqgRCFcSB2pDE08wxyUM/2z1O1/CQtZNMvjyiwMlI5XxuRA/UNbiahDqlIbYi9Y9Ffkna2q8uHUzpu8DsMYVtGSSWY8P86FIB5WVQxWpbG9WO8LvPdX5Mr1kOjOIh1Meq4tmlIketUpIKn4i1iRh7YNc6LsFSlZAtOyRLVOfgK/I8o7ZjTjcaTuHlj19WaHe4l98qZn0GwCBuZ8WoFlCc+jUA6dB5Y8PQ+qwAN0ElmS6aGPkwaIgpAQ5ssVieC01l7lfrDVr6bTziWKDjCF1+vq+ORBmhfn20j4b/C5Os4qkd93FTD6jTNv7pjKiJ+kBvwR1UvDy+Oao21OP29Y8eFWdPjyb7L7JKL5zUGJqG9nKFv5bte88oLH8q83eKT3AqWj5yZKw+EF+6rOU96lfmg3/xgyDa3XScvpkJ/5BhH95f3AncMyDrapOf6SMS8QHyEkkWbwfbDMCUqaHE/SzumW9bvXWdvihUc6DKhQT8m8obna8aym1Xu4E6rqXnU5rHsDBV5GzxIzBwWKuFh8wfCowm19BZCP6V5A0yAkZ0X3grPgJYyooFnj115eDWICAaCLKA3VOEW6z3vHtqtIe9ojCFmBcvjFKY+8EM2nWS3VfAyWZb3s5kBlk5zd1EEY3LmC/ETdCC+JjG3ANPMJSp4m3yQOoWw+wZGh+ZMAlNjy9hk9bAkmegLfdoZ6nta7sjd1ZOZFaATSFMvDpbQ+yfjLgZFt0zwRy0KcaLbm0pZNVEf4bwj87N3C8wyHaq+0/XCfyeA0LnZaSXopg3J3Tc47JZYWrpBSKy9S68QUwghp5Bv1ylC5kWowEylPa3To517dZR+Gx0bdzfeQZNuJxPxyr1stmRotozbI25yfy1DEfccrgpqxZVuhFvMVmXVW1ahaqpw9No2CXxusymX9lF3F1Bprpr94QgGLbSfEb+yIS8LHH7+E9GS/G+WOPXnHPtkJqTt5kcNRKzgPoUPmA/rIZsN71OgSLql2Q8s923SM0WtwfRicYWdADHkie4NHP3YtbVz29o7h6zLG9B2ZyLREUGmu4NmKCfsW8cTu4Yo2mfbMPQAnalZ4oW66FTJDWWI4uRMjdwB8W0fwkz6m/oVtBZ9Mn7UPliBe7MrIWhwgqzlaUze5u7WxIFDCToqflWJQvHv02QEypbiNU2QVaD4qni41y5BeISmfRCH7u6/NcGBG7oP9uyX4DymVgQauGXSRloXnYmeM6m4m3wp+xY8bARMZOPcsh9CYjLsoKlOmrxY7edC5Jc66gLRpgX51R1VNyhdmeXP9mgS9hSlGBltS5+u3D/YkCsumHynMnO+kAbXBqhJ8/a7ctQFjBbyUOIXUcRHN7Z8u1UkxAnuAs6pF5u8knOwVjPUpWnDPXKzCE8kzSb+e7r8OdLB11ZClx6lliGzaaIQ25YN7YijR+auHXTUUMaL7OlqwBlhSdDDIn1xr/JfD+cRF6IcNMGEl6xSFPV3/dp7PTf143tU25C2W5rcYOvb7Muk7plH4A49qAmJj9sIGO1wLJIl5Oy0iawzNJqsj+aO3v8TkvzrtyuGcwmaDEnFbzLmsUqwFEWw3oNEI8PIFF5ru7onDF8P1212Hlj+RSzG7TIfX5jQDF0rJfq8LZ2ancK2D5mra7PHESOd0dGdwksHGMxru8Qx2ez1Tg/15It3jixbT2wzfxY91cGJCYcjCLZn5PiqZA6EkzD8t4CfC+SksmWPILcBcoWWCXhJmVpQpBBa+qfhXPQDlR0G83B9e0EhFF/kgB51b34VUc+3JeOHxoIqyE6XYAbRh43x6PjJaNCkTuRPfQB0oZMhUroTVTitHXRk/snd8So4NdUMv8/amZH6oEfuRK8x2j+h9rMrwyHKO/hBN746SzlXkBqSyv6tVW+mIklCEiA5SaKcxbEyO7Ce2gtfEbah7dW9mT0SJuuV87XHph1bNstCUhMs6d8ZrZxEP4/47a45i067GGErfUWChBgAma6yvVZ+S1T7S8XXll9/x7k2yk2tLHi0VXSnRiaXJY5Id2eg8sz0nU2IKj9RYFVkK4KfRF0EvMlUmapFG7Lzdt3hQ7gf4XdYIUcIsaoLn8dDieMGCE8BJqEWinUQAg2bINxLotV/6AdRkuc5bT71iWZrSJdqJw84HPxvOKN+ycy/T0T2DFx+dJcjDG4Ot8xIXYEDjQx3/wSf13/+ETwBXEsk36sTp97tO92is2v+5AhMtr4Jou2NguYw2a3DXXh63GLL+WEI4AgScxvnEj9PmYKteas4YdfSrknZ6s2hK1Sa28ZuBNaICNCdyPTwjBSSOhOtXYk/70w7me1bMtv3XJpwEcFlRfnbJzIEI3hIJmOzxh5p4Ee8w798McbMxbxVQ98gN4BHxD+EW8abpMmrPmPWKrT4llYlgQiylMZtExLuRTeFhTCG7HtY37s76FslFG3eWVGGx3+2YkKFu9tL0mrQ4c82TPFj/D3tYKfIXdB2/Dypr8J69VwW8ZpFU2F/bmkgAddbc9mkf7RQ1CYc07021xagopJEm28OUWyK4HzmvAU7QjuJ6LDDKm3/r/nNpjRbIuI7aDF0T8lGimDfQMAwMtrWJ4PsXCfg9/II/vYKx3qQDvZifcd0Hx6Rs4l4LI0oHocwabeZIfn1mFeTG9/Rb1FPsJzQEVmVBtTibp86IYDo7quuS0xdzLxIosCiOOH4FrdqJtUtEehDH4Kt0R7i3n4YM9ZWQdWjipwHs1Pr2Tf4xvJRzhH25uwyJHorHQur4fD0Vpy+hrcX2HeDkL3bGRx/hhrghnemgiACvee+CWCL3J+aM6Lkw1smKWFQ+WHRh5xbAFPvaNDIzGw9YiqckK+Qekz5rxO2FDCu+Udaje1aV9lmGuaM0htcqAb8xAjo2I95aEdtkSj51GITV/MC58+jeNaHZOEj7Y1dq2a/k0XiUgGSqswl9zP6G8ZGj9n9cWCWZLegfubRoVphQGDPcbE3TPzUcqjmttCIKHn/UvVF6MLtPH4+9+0F1RJbko1LbustbrVhuYi8fV4G13z4aBslvwY6W7r1dXS/PCYODmMMKXUpVSYav4kLaSCo2a54caXZiXdtGBjzdQNJltA3oZ81Tm5lMmgi5Vod/wOT/Av5LGHKKAdsK2nWrnqN8OoRiK60a/6/DK8dpHlBRxUau2CZlLXiX+NtAhbpNYXey4VyesoawxFwX7tQ6Pcw==
    
  7. DecisionNerd commented on Sep 30, 2026

    @DecisionNerd
    ContributorAuthor

    Raw #1623 S22 evidence, part 4/4. XZ bundle SHA-256 ea99531de93003dad71a35d32df4f3cbd84dc80c8a57072613acf91b450da907; part SHA-256 00380f150fdedd71e9323ba6dac6c39b8e206fce30bb5a87832c68cf600c3e1e. Concatenate decoded parts in numeric order, verify the bundle digest, then XZ-decompress to JSON. Per-file SHA-256 values are inside the bundle. Includes original five receipts, complete sampled host/process evidence, input checks, chunk accounting, reopen receipts/reference digests, measurement and verification scripts, and validation summaries.

    Base64 part 4
    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
    
  8. DecisionNerd commented on Sep 30, 2026

    @DecisionNerd
    ContributorAuthor

    S22 attribution completed on stock source 13480cadb1b8e810d4809cbce507703b578eb709 (2026-09-30). PR #1652 exposes the import capture, observed SHA bytes/intervals and barrier calls in /2 receipts; it attributes existing behavior.

    Run identity: OVHC-AGENCY, Ryzen 7 3800X (8 physical / 16 logical CPUs, affinity 0–15), 125 GiB RAM, 878 GiB ext4 NVMe, kernel 7.0.0-30-generic. Stock release gf SHA-256 2123b82a9e0a544507ad127e3a5760535d70a1d8c3b991834e7d7c7490c605c5, no custom/test features. Inputs are the same S22 files: nodes bcbcbea526e61ceb63f6006ee5f56de6bb4f74cffdd68dc6eff6d230d3897f06, edges 1c0ff75485f75e904cbd59b6f5d42da1d8b1af6ddac59ee6c495a4948a428d13; sha256sum --check passed both. Commands and scripts are in the raw bundle below; the repository method is docs/development/ingest-region-diagnostics.md.

    After sync and dropping caches, 13 five-second samples over 60 seconds passed the quiet policy: mean 0.068282 busy cores (limit 0.2), maximum 0.181417 (limit 0.5). During the run, 96 five-second process/CPU samples recorded no compiler or external GF process; own GF processes descend from the recorded runexec PID. Sampling cannot exclude activity between samples. No local build overlapped the run.

    runexec --no-container --cores 0-15 driver.sh returned 0. Complete begin → register nodes → register edges → stage+seal → commit: 473.260492080 s wall, 556.998842 s CPU, 1.176939 effective cores, 11,016,183,808 B peak memory, 141,801.112 edges/s. At 1M edges/s the budget is 67.108864 s; this run consumes 705.2131% of it. #1387's floor remains unmet. This tree differs from the earlier 363.244 s run and observer overhead is unquantified; no matched speedup/regression claim is made.

    Root totals: 98,309,569,533 hashed bytes; 344,536 attempted file/directory barriers; 59,327,112,634 write-syscall bytes. Summed SHA update/finalize intervals are 78.315830091 s and barrier intervals 177.261520697 s. These intervals can overlap across workers and are neither process CPU nor critical-path wall time. Written bytes are Linux wchar, not disk writeback or logical artifact size.

    Inclusive command/selected region table (parents overlap; do not sum these rows). CPU/wall is effective cores; 10 ms CPU resolution can dominate very short regions.

    Command / region Wall s CPU s CPU/wall Fsync calls Written bytes Hashed bytes Hash intervals s Barrier intervals s % of 67.109 s budget
    receipt-0-begin 0.001 0.010 10.803 1 584 0 0.000 0.000 0.00
    receipt-0-begin: import_command/begin_import/manifest_persistence 0.000 0.000 0.000 1 584 0 0.000 0.000 0.00
    receipt-1-register-nodes 0.117 0.030 0.257 2 67139290 0 0.000 0.065 0.17
    receipt-1-register-nodes: import_command/register_parquet/checkpoint/manifest_persistence 0.000 0.000 0.000 1 750 0 0.000 0.000 0.00
    receipt-2-register-edges 7.809 1.810 0.232 8 3222211974 0 0.000 5.488 11.64
    receipt-2-register-edges: import_command/register_parquet/checkpoint/manifest_persistence 0.000 0.000 0.000 1 913 0 0.000 0.000 0.00
    receipt-3-stage-seal 421.180 532.120 1.263 328013 52165498512 78837955892 67.705 164.487 627.61
    receipt-3-stage-seal: import_command/stage+seal 421.179 532.120 1.263 328013 52165498512 78837955892 67.705 164.487 627.61
    receipt-3-stage-seal: import_command/stage+seal/append_edges 84.618 76.590 0.905 53248 12442828295 16314405992 16.636 9.487 126.09
    receipt-3-stage-seal: import_command/stage+seal/append_nodes 2.569 2.320 0.903 2752 223927670 340057392 0.507 0.336 3.83
    receipt-3-stage-seal: import_command/stage+seal/manifest_persistence 0.742 0.590 0.795 2178 8711211 0 0.000 0.384 1.11
    receipt-3-stage-seal: import_command/stage+seal/normalization 18.057 51.910 2.875 0 0 64192 0.001 0.000 26.91
    receipt-3-stage-seal: import_command/stage+seal/open_construction/manifest_persistence 0.000 0.000 0.000 1 947 0 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/stage+seal/seal 307.467 398.400 1.296 269831 39490024751 62183425394 50.560 154.278 458.16
    receipt-3-stage-seal: import_command/stage+seal/seal/canonical_encoding 99.645 161.580 1.622 2234 11047111668 21230597300 22.441 7.125 148.48
    receipt-3-stage-seal: import_command/stage+seal/seal/canonical_encoding/membership_encoding 6.855 4.030 0.588 19 1346632303 4546886310 2.283 2.885 10.21
    receipt-3-stage-seal: import_command/stage+seal/seal/checkpoint/manifest_persistence 0.000 0.000 0.000 1 4152 0 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping 207.096 236.120 1.140 267573 28442349572 40945208606 28.115 147.131 308.60
    receipt-3-stage-seal: import_command/stage+seal/source_read 6.886 1.630 0.237 0 0 0 0.000 0.000 10.26
    receipt-4-commit 43.994 22.850 0.519 16512 3872262274 19471613641 10.611 7.222 65.56
    receipt-4-commit: import_command/commit 43.993 22.850 0.519 16512 3872262274 19471613641 10.611 7.222 65.55
    receipt-4-commit: import_command/commit/checkpoint/manifest_persistence 0.000 0.000 0.000 1 4281 0 0.000 0.000 0.00
    receipt-4-commit: import_command/commit/publish/generation_commit/hydration 6.496 2.290 0.353 19 168145111 337676306 0.166 0.263 9.68
    receipt-4-commit: import_command/commit/publish/prepare_encoding 0.324 0.330 1.019 6 182268 2771713 0.002 0.001 0.48

    All five command trees reconcile exactly by summing their residual rows: difference 0 for wall, CPU, write bytes, hash bytes, hash intervals, barrier calls and barrier intervals. Command roots sum to 473.101000198 s; outer workflow wall residual is 0.159491882 s. Workflow CPU minus root CPU is +0.178842 s, reported separately. No inclusive rows were summed together. Full disjoint residual table:

    Command / region Wall s CPU s CPU/wall Fsync calls Written bytes Hashed bytes Hash intervals s Barrier intervals s % of 67.109 s budget
    receipt-0-begin: import_command/begin_import 0.000 0.010 38.759 0 0 0 0.000 0.000 0.00
    receipt-0-begin: import_command/begin_import/manifest_persistence 0.000 0.000 0.000 1 584 0 0.000 0.000 0.00
    receipt-0-begin: import_command 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-1-register-nodes: import_command/register_parquet 0.116 0.030 0.259 1 67138540 0 0.000 0.065 0.17
    receipt-1-register-nodes: import_command/register_parquet/checkpoint 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-1-register-nodes: import_command/register_parquet/checkpoint/manifest_persistence 0.000 0.000 0.000 1 750 0 0.000 0.000 0.00
    receipt-1-register-nodes: import_command/resume_import 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-1-register-nodes: import_command 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-2-register-edges: import_command/register_parquet 7.808 1.800 0.231 7 3222211061 0 0.000 5.488 11.64
    receipt-2-register-edges: import_command/register_parquet/checkpoint 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-2-register-edges: import_command/register_parquet/checkpoint/manifest_persistence 0.000 0.000 0.000 1 913 0 0.000 0.000 0.00
    receipt-2-register-edges: import_command/resume_import 0.000 0.010 66.929 0 0 0 0.000 0.000 0.00
    receipt-2-register-edges: import_command 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/resume_import 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/stage+seal 0.838 0.670 0.799 0 0 0 0.000 0.000 1.25
    receipt-3-stage-seal: import_command/stage+seal/append_edges 79.318 73.230 0.923 17408 12442828295 16314405992 16.636 7.625 118.19
    receipt-3-stage-seal: import_command/stage+seal/append_edges/fsync 5.300 3.360 0.634 35840 0 0 0.000 1.862 7.90
    receipt-3-stage-seal: import_command/stage+seal/append_nodes 2.295 2.060 0.898 896 223927670 340057392 0.507 0.241 3.42
    receipt-3-stage-seal: import_command/stage+seal/append_nodes/fsync 0.274 0.260 0.948 1856 0 0 0.000 0.096 0.41
    receipt-3-stage-seal: import_command/stage+seal/manifest_persistence 0.742 0.590 0.795 2178 8711211 0 0.000 0.384 1.11
    receipt-3-stage-seal: import_command/stage+seal/normalization 18.057 51.910 2.875 0 0 64192 0.001 0.000 26.91
    receipt-3-stage-seal: import_command/stage+seal/open_construction 0.002 0.010 6.037 1 5638 2922 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/stage+seal/open_construction/fsync 0.000 0.000 0.000 2 0 0 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/stage+seal/open_construction/lock_wait 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/stage+seal/open_construction/manifest_persistence 0.000 0.000 0.000 1 947 0 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/stage+seal/seal 0.664 0.650 0.979 5 293082 5360564 0.003 0.004 0.99
    receipt-3-stage-seal: import_command/stage+seal/seal/canonical_encoding 0.023 0.010 0.432 8 327901 5904 0.000 0.018 0.03
    receipt-3-stage-seal: import_command/stage+seal/seal/canonical_encoding/adjacency_encoding 10.358 1.480 0.143 1 2041 1811874315 0.914 0.007 15.43
    receipt-3-stage-seal: import_command/stage+seal/seal/canonical_encoding/adjacency_encoding/adjacency_csr 14.289 53.010 3.710 4 1811872274 1811820580 0.885 2.319 21.29
    receipt-3-stage-seal: import_command/stage+seal/seal/canonical_encoding/adjacency_encoding/adjacency_grouping 13.680 19.470 1.423 0 6442456064 8192 0.001 0.000 20.39
    receipt-3-stage-seal: import_command/stage+seal/seal/canonical_encoding/edge_encoding 39.568 68.490 1.731 1024 1261300048 10027436368 12.303 1.402 58.96
    receipt-3-stage-seal: import_command/stage+seal/seal/canonical_encoding/edge_encoding/fsync 0.267 0.140 0.525 1024 0 0 0.000 0.127 0.40
    receipt-3-stage-seal: import_command/stage+seal/seal/canonical_encoding/fsync 0.002 0.010 5.538 9 0 0 0.000 0.001 0.00
    receipt-3-stage-seal: import_command/stage+seal/seal/canonical_encoding/membership_encoding 6.853 4.030 0.588 10 1346632303 4546886310 2.283 2.884 10.21
    receipt-3-stage-seal: import_command/stage+seal/seal/canonical_encoding/membership_encoding/fsync 0.001 0.000 0.000 9 0 0 0.000 0.001 0.00
    receipt-3-stage-seal: import_command/stage+seal/seal/canonical_encoding/node_encoding 14.587 14.940 1.024 81 184521037 3032565631 6.056 0.361 21.74
    receipt-3-stage-seal: import_command/stage+seal/seal/canonical_encoding/node_encoding/fsync 0.015 0.000 0.000 64 0 0 0.000 0.006 0.02
    receipt-3-stage-seal: import_command/stage+seal/seal/checkpoint 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/stage+seal/seal/checkpoint/manifest_persistence 0.000 0.000 0.000 1 4152 0 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/stage+seal/seal/fsync 0.015 0.010 0.666 15 0 0 0.000 0.013 0.02
    receipt-3-stage-seal: import_command/stage+seal/seal/lock_wait 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/stage+seal/seal/seal_authentication 0.046 0.040 0.867 1 266277 2258924 0.001 0.004 0.07
    receipt-3-stage-seal: import_command/stage+seal/seal/seal_authentication/fsync 0.000 0.000 0.000 2 0 0 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping 0.024 0.030 1.268 1 417917 239 0.000 0.001 0.04
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/endpoint_resolution 38.530 51.300 1.331 39797 6713407372 6713048582 3.410 17.345 57.41
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/endpoint_resolution/fsync 0.002 0.000 0.000 9 0 0 0.000 0.001 0.00
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/endpoint_resolution/partition_load_wait 0.006 0.040 6.290 0 0 0 0.000 0.000 0.01
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/fsync 0.001 0.000 0.000 2 0 0 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/runtime_catalog 14.136 14.120 0.999 2 2683 2412 0.000 0.001 21.06
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/runtime_catalog/fsync 0.001 0.000 0.000 4 0 0 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/shape_completion 0.291 0.310 1.066 4 481148 2263516 0.001 0.001 0.43
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/shape_completion/fsync 0.046 0.010 0.215 226 0 0 0.000 0.025 0.07
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/shape_family_finish 36.152 63.550 1.758 114259 9927923847 9936688551 5.131 36.325 53.87
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/shape_family_finish/fsync 0.002 0.000 0.000 16 0 0 0.000 0.001 0.00
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/shape_family_finish/partition_load_wait 0.164 0.680 4.143 0 0 0 0.000 0.000 0.24
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/shape_planning 5.957 4.610 0.774 0 0 0 0.000 0.000 8.88
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/shape_routing 87.120 83.020 0.953 108316 9946232662 19148711496 17.054 88.515 129.82
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/shape_routing/artifact_authentication 4.086 2.770 0.678 0 0 3290610048 1.596 0.000 6.09
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/shape_routing/fsync 0.962 0.430 0.447 4921 0 0 0.000 0.521 1.43
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/shape_row_finish 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/surrogate_assignment 19.613 15.250 0.778 9 1853883943 1853883762 0.924 4.396 29.23
    receipt-3-stage-seal: import_command/stage+seal/seal/shaping/surrogate_assignment/fsync 0.002 0.000 0.000 7 0 0 0.000 0.001 0.00
    receipt-3-stage-seal: import_command/stage+seal/source_read 6.886 1.630 0.237 0 0 0 0.000 0.000 10.26
    receipt-3-stage-seal: import_command 0.001 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-4-commit: import_command/commit 0.001 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-4-commit: import_command/commit/checkpoint 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-4-commit: import_command/commit/checkpoint/manifest_persistence 0.000 0.000 0.000 1 4281 0 0.000 0.000 0.00
    receipt-4-commit: import_command/commit/open_construction 0.366 0.360 0.984 2 182268 2776870 0.002 0.001 0.55
    receipt-4-commit: import_command/commit/open_construction/fsync 0.001 0.000 0.000 4 0 0 0.000 0.000 0.00
    receipt-4-commit: import_command/commit/open_construction/lock_wait 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-4-commit: import_command/commit/publish 0.002 0.000 0.000 2 91305 131 0.000 0.000 0.00
    receipt-4-commit: import_command/commit/publish/cas_install 15.427 6.440 0.417 16418 3703466769 4621796810 2.362 6.951 22.99
    receipt-4-commit: import_command/commit/publish/fsync 0.000 0.000 0.000 2 0 0 0.000 0.000 0.00
    receipt-4-commit: import_command/commit/publish/generation_commit 12.590 7.360 0.585 12 6364 9211448723 4.483 0.002 18.76
    receipt-4-commit: import_command/commit/publish/generation_commit/fsync 0.004 0.000 0.000 23 0 0 0.000 0.002 0.01
    receipt-4-commit: import_command/commit/publish/generation_commit/hydration 6.341 2.150 0.339 19 168145111 337676306 0.166 0.263 9.45
    receipt-4-commit: import_command/commit/publish/generation_commit/hydration/lock_wait 0.155 0.140 0.903 0 0 0 0.000 0.000 0.23
    receipt-4-commit: import_command/commit/publish/generation_commit/lock_wait 0.147 0.120 0.817 0 0 0 0.000 0.000 0.22
    receipt-4-commit: import_command/commit/publish/generation_commit/read_authority 2.475 2.470 0.998 0 0 688341435 1.235 0.000 3.69
    receipt-4-commit: import_command/commit/publish/generation_commit/read_authority/lock_wait 0.001 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-4-commit: import_command/commit/publish/prepare_encoding 0.323 0.330 1.021 2 182268 2771713 0.002 0.001 0.48
    receipt-4-commit: import_command/commit/publish/prepare_encoding/fsync 0.001 0.000 0.000 4 0 0 0.000 0.000 0.00
    receipt-4-commit: import_command/commit/publish/publication_authentication 0.007 0.000 0.000 11 90 1079033 0.001 0.001 0.01
    receipt-4-commit: import_command/commit/publish/publication_authentication/lock_wait 0.001 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-4-commit: import_command/commit/publish/publication_intent 0.001 0.000 0.000 2 91997 0 0.000 0.000 0.00
    receipt-4-commit: import_command/commit/publish/publication_intent/fsync 0.001 0.000 0.000 4 0 0 0.000 0.000 0.00
    receipt-4-commit: import_command/commit/publish/publication_receipt 6.116 3.440 0.563 2 91821 4605722620 2.362 0.001 9.11
    receipt-4-commit: import_command/commit/publish/publication_receipt/fsync 0.001 0.000 0.000 4 0 0 0.000 0.000 0.00
    receipt-4-commit: import_command/commit/publish/publication_receipt/lock_wait 0.032 0.040 1.232 0 0 0 0.000 0.000 0.05
    receipt-4-commit: import_command/resume_import 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00
    receipt-4-commit: import_command 0.000 0.000 0.000 0 0 0 0.000 0.000 0.00

    Authentication reconciliation: the stage+seal/seal/shaping/shape_routing/artifact_authentication leaf hashes exactly 3,290,610,048 B across 1,088 calls. Independently retained chunk receipts have contiguous sequences 0–1087 and contain exactly 4,194,304 node rows and 67,108,864 edge rows. Sum of each chunk's parquet.bytes equals the observed leaf; difference 0 B, tolerance 0 B. Other source/intermediate hashing has different populations and is not asserted removable.

    Priority adjudication for #735: move #1617 to position 1 alongside #1621, and record it as a #1387 prerequisite. The largest residual regions are shape_routing 87.120253283 s, append_edges 79.317535077 s and edge_encoding 39.567895083 s. A statically verified nonoverlapping, caller-thread SHA subset totals 41.760542759 s: append_edges 16.636100402; node_encoding 6.056147435; edge_encoding 12.302647417; membership_encoding 2.282813144; generation_commit residual 4.482834361. It exceeds the third-largest residual wall by 2.192647676 s. Normalization completes before the append callback; membership completes before Parquet workers start; workers only compress and the caller hashes; lanes drain/join before encoding scopes finish; shaping joins before encoding; stage and commit are separate sequential commands. Nested hydration is excluded from generation_commit residual. This establishes the hashing mechanism's priority, not an achievable speedup or the removable classification of its digests.

    Compatibility: measured outcomes and region names use stage+seal; the CLI command validate, durable Validated state/binding labels, and historical /1 fixtures retain their existing consumers as documented. No new receipt describes the measured phase as validation.

    Validation: full make pre-push passed at b8a1c7e083 using isolated worktree cache, including Rust/native tests, Python 157 passing, Node 118 scenarios/443 steps, and coverage thresholds (Rust patch 227/235 = 96.60%, Python wrapper 98.37%, Node wrapper 100%). Its first run found an untracked local checklist; the checklist was moved outside the source tree and the supported same-source resume passed, preserving the source-ledger requirement. The subsequent 13480cadb merge changes only CI/policy files; git diff b8a1c7e083..13480cadb -- crates Cargo.toml Cargo.lock benchmarks is empty. Formatting, make pre-push-fast, CI storage policy and property-overlay contract checks passed at that final head. Exact-head CI run 36670775354 passed including CI Gate. Final real tiny and SCALE6–8 growth certification passed with rebuilt stock CLI/certifier/generator. Independent reviewers verified current code, observation semantics, exact chunk reconciliation and host provenance; CodeRabbit CLI authentication was unavailable, so no CLI pass is claimed.

    Reopen proof: bash verify.sh project verify-v2 returned 0. Counts are 4,194,304 nodes / 67,108,864 edges. Complete node and edge scans returned those row counts. All four result_sha256 values match the retained reference exactly: nodes 15563dc5ecd48bd37d48ccfe0da1d66be7da3fd4dd8c79d2d064e78657a0d228; node scan 05cfd80300aa02d4247db5b4b45977f4dfa3862b9e8050dbd0799b794eded2b5; edges 979e01bd5c8760c4e606da882ea550a6711605f6d555f64a9ae6e431789cb2fc; edge scan 73e049c3aa7a21212036075959cdf3ffc9fcb27acb7931f91009b29f7bfeac4c. The original helper tried Arrow IPC on default Parquet output; that failed helper/output was preserved, corrected to assert/read Parquet, and verification rerun. The engine count command had succeeded throughout. Independent review confirmed all four final matches.

    Raw evidence is attached as a lossless XZ-compressed JSON bundle (55 files), with base64 binary parts in numeric order:

    • Part 1, SHA-256 b8bb1ab8852d233ade1750c974ae7add99ca53255e834677bbb25e9c21a2cbb7.
    • Part 2, SHA-256 fbed521886df2b03c03dcef42bc53d7ca088c1a0a3ef1092b6b58106805f0e63.
    • Part 3, SHA-256 24494d2e3c89e2a74637b1bab523497a18c1a2d9f88a74d850f5fea71e3b43a5.
    • Part 4, SHA-256 00380f150fdedd71e9323ba6dac6c39b8e206fce30bb5a87832c68cf600c3e1e.

    Concatenate decoded parts, verify compressed SHA-256 ea99531de93003dad71a35d32df4f3cbd84dc80c8a57072613acf91b450da907, then lzma.decompress and parse JSON. Uncompressed JSON SHA-256 e5b22ccef1be582c5ba019d0f4734cd45e7d4cb4ae95a367001dd619cf7371cf. The files mapping contains original text and file_sha256 its per-file digests. A download/decode/decompress/per-file digest round trip against all posted comments passed. Local source worktrees and original receipts remain intact.

  9. DecisionNerd commented on Sep 30, 2026

    @DecisionNerd
    ContributorAuthor

    PR #1652 merged into main as edc91bc9e3e374cf4b01fecd2ef8a138570bcb70 at 2026-09-30T05:49:44Z. Exact-head PR CI 36670775354 and merge-group CI 36673850259 both passed CI Gate. The squash commit is verified on main. All five acceptance outcomes are met by the S22 tables/raw bundle/reopen evidence and #735 priority adjudication; #1387 remains blocked by #1617 with its ingest floor unchanged. Only #1623 is the PR closing reference.

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