logoChat01.ai

Here's your patch — line-by-line, find-and-replace...

Creato il: 12 marzo 2026

Risposto usando GPT-5.4 Thinking da Chat01

Domanda

Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt

Here's your patch — line-by-line, find-and-replace, exactly what changed between the two files:[1][2]

What Changed

The only difference between your original v17.10.0_line_mass_refactor.txt and the multichain_test_patched version is 4 value changes inside totalsTourPolicy() — every tour's minLeanPO and minLeanPU gates drop by 0.005 (half a percentage point):

TourOld minLeanNew minLean
WTA0.5500.545
CH0.5520.547
ITF0.5550.550
ATP0.5450.540

What It Does

This lowers the threshold the totals engine needs to clear before firing a LEAN OVER / LEAN UNDER pick instead of PASSing. Borderline spots that were just barely below the old gate will now produce a directional lean. No other logic, functions, or structures changed.

Follow every single patch

==========================================================
PATCH: v17.10.0 → v17.10.0 multichain_test_patched
Apply to: Tennislocks_v17.10.0_line_mass_refactor.txt

There are exactly 4 value changes, all inside function totalsTourPolicy().
These lower the minLean thresholds by 5 pts across all tours, making
the totals pick ladder slightly more willing to fire LEAN / directional
picks instead of PASSing.

──────────────────────────────────────────────────────────
PATCH 1 of 4 — WTA block inside totalsTourPolicy()
──────────────────────────────────────────────────────────

FIND (WTA return):
minLeanPO: 0.550, minLeanPU: 0.550,

REPLACE WITH:
minLeanPO: 0.545, minLeanPU: 0.545,

──────────────────────────────────────────────────────────
PATCH 2 of 4 — CH block inside totalsTourPolicy()
──────────────────────────────────────────────────────────

FIND (CH return):
minLeanPO: 0.552, minLeanPU: 0.552,

REPLACE WITH:
minLeanPO: 0.547, minLeanPU: 0.547,

──────────────────────────────────────────────────────────
PATCH 3 of 4 — ITF block inside totalsTourPolicy()
──────────────────────────────────────────────────────────

FIND (ITF return):
minLeanPO: 0.555, minLeanPU: 0.555,

REPLACE WITH:
minLeanPO: 0.550, minLeanPU: 0.550,

──────────────────────────────────────────────────────────
PATCH 4 of 4 — ATP (default) block inside totalsTourPolicy()
──────────────────────────────────────────────────────────

FIND (default/ATP return — the last return in the function):
minLeanPO: 0.545, minLeanPU: 0.545,

REPLACE WITH:
minLeanPO: 0.540, minLeanPU: 0.540,

==========================================================
END OF PATCH — 4 find-and-replace operations total

WHAT THIS CHANGES:

  • Every tour's minLean gate drops by 0.005 (half a percentage point)
  • This means the totals engine will now produce LEAN OVER / LEAN UNDER
    picks in borderline spots that previously returned PASS
  • No other logic, functions, or values are changed

Yes — I went through the current v17.10.0_line_mass_refactor_multichain_test_patched logic, and the next patches I’d apply now are in the winner dog-rescue path, the totals fake-decider controls, the line-mass penalty layer, and the BO3 sets-support gates.[1]
I’m giving these as anchor-based line edits because the file content exposes stable function and variable anchors such as winnerDecision, totalsDeciderAuthority, buildLineMassProfile, lmpApplyToDecision, and buildSetsMarketEngine, which is the safest way to patch this script without mis-targeting absolute line numbers.[1]

Winner patches

Patch W1: in winnerDecision, raise dogMinP from WTA 0.27 / CH 0.28 / ATP-default 0.28 to WTA 0.29 / CH 0.30 / ATP-default 0.30, because the current dog-live gate can still mark very low-win-rate dogs as structurally alive when the lane evidence is only barely there.[1]
Patch W2: tighten DOGRESCUE by changing rescueEdgeMin from 0.035 / 0.038 / 0.040 to 0.045 / 0.048 / 0.050, trustOk from coverageMin >= 3 to >= 4, and strongEdgeRescue from marketEdge > 0.055 && pPick > 0.33 to marketEdge > 0.065 && pPick > 0.35, because the current rescue block is still permissive enough to let marginal dogs survive on price alone.[1]
Patch W3: raise cgDogSoftP3 from 0.30 / 0.31 / 0.33 to 0.33 / 0.34 / 0.36 and cgDogBrkP3 from 0.27 / 0.28 / 0.30 to 0.30 / 0.31 / 0.33, because right now a modest display decider plus break-heavy matchup can promote dogs too easily in messy matches.[1]
Patch W4: make the veto earlier by lowering cgDogVeto from 0.63 / 0.65 / 0.67 to 0.61 / 0.63 / 0.65, and add a second veto when adjP2set > 0.60 && favSweepShare > 0.72, because the current dog veto only fires when favorite sweep control is already very obvious.[1]
Patch W5: raise dog value thresholds by +0.003 on minLean and +0.006 on minPrimary in the VALUE THRESHOLDS block, because the current dog thresholds are intentionally looser than favorite thresholds and that is still combining with the rescue logic to create too many live-dog survivals.[1]

Totals patches

Patch T1: in totalsDeciderAuthority, count disp as a support source and change broadSupport from supportCount >= 2 to supportCount >= 3 whenever lane3 > 0.95, because the current support count only uses raw, adj, mkt, and hold, which can over-credit the 3-set lane even when display is already warning you.[1]
Patch T2: tighten fragility detection by changing fragile from spread >= 0.10 to spread >= 0.08, and change the lane-gap shave trigger from laneGap >= 0.45 to laneGap >= 0.35, because the current decider-authority dampening starts too late for fake-over structures.[1]
Patch T3: strengthen the anti-fake-decider safeguard by changing lg > 0.65 to lg > 0.45, lane3ov > 0.99 to lane3ov > 0.97, and the penalty from p3ForTotals - 0.015 to p3ForTotals - 0.030, because the current late-stage correction is too small and too delayed to fully neutralize inflated over paths.[1]

Line-mass patches

Patch L1: in lmpApplyToDecision, raise penaltyStrength cap from 0.06 to 0.08 and riskContribution cap from 0.30 to 0.36, because the current line-mass layer is informative but still too soft when near-line mass is high and skew is weak.[1]
Patch L2: in lmpConfidencePenalty, start penalizing at nearMass > 0.06 instead of > 0.08, and raise the max returned penalty from 0.04 to 0.05, because whole-number and near-hook totals remain too confidence-friendly in dense local PMFs.[1]
Patch L3: in lmpConfidenceTierCap, force a MID cap whenever nearMass > 0.18 && abs(signedSkew) < 0.25, and force LOW whenever uncertaintyPenalty > 0.60 && abs(signedSkew) < 0.15, because the current cap logic still allows some noisy, push-heavy totals to stay artificially high confidence.[1]

Sets patches

Patch S1: in buildSetsMarketEngine, add p3ModelDisplay into the supportCount logic and require broadSupport = supportCount >= 3 when leadGap < 0.08, because the current BO3 support gate only counts raw, adj, market, and hold, which can make BET 3 SETS survive on duplicated priors.[1]
Patch S2: tighten setsHookFragile from p3Spread > 0.10 to p3Spread > 0.08, and tighten the final fragile veto from p3Spread > 0.12 to p3Spread > 0.10, because your current sets engine still allows bets through while the p3 sources are spread by 10 to 12 percentage points.[1]
Patch S3: in the actionable pick gate, change the forced-pass checks from leadProb < 0.63 to leadProb < 0.65 when decPressure == 2 or sweepPressure == 2, because the model is already telling you the opposite lane is strongly alive and the current threshold still lets too many shaky sets bets through.[1]

Apply first

If you want the highest-value order, apply W2, T3, L1, and S2 first, because those four changes hit the most permissive paths in the current file: dog rescue, fake-decider over inflation, weak hook punishment, and sets-source spread tolerance.[1]
After that, apply W3, T2, and S1, because those are the next layer of tightening that reduce borderline approvals without changing the overall architecture you already built

Update my script then send it as a downloadable txt link

Pensiero

{}

bash -lc ls -l /mnt/data && echo '---' && grep -n "function totalsTourPolicy|winnerDecision|totalsDeciderAuthority|buildLineMassProfile|lmpApplyToDecision|lmpConfidencePenalty|lmpConfidenceTierCap|buildSetsMarketEngine" /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt | head -50

bash -lc sed -n '1997,2075p' /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt > /tmp/part1.txt && sed -n '2147,2245p' /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt > /tmp/part2.txt && sed -n '2900,3075p' /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt > /tmp/part3.txt && sed -n '14550,14620p' /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt > /tmp/part4.txt && for f in /tmp/part1.txt /tmp/part2.txt /tmp/part3.txt /tmp/part4.txt; do echo "===== f=====";cat"f ====="; cat "f"; done

Inspecting winnerDecision and dog thresholds

I need to look more closely at the winnerDecision and specifically the dog thresholds. I’m curious to explore the right search terms to use for gathering the relevant details so that I can address the question effectively.

bash -lc grep -n "dogMinP|DOGRESCUE|rescueEdgeMin|cgDogSoftP3|cgDogBrkP3|cgDogVeto|adjP2set|favSweepShare|VALUE THRESHOLDS|minLean|minPrimary" /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt | sed -n '1,160p'

Inspecting blocks around the relevant lines

I need to take a closer look at the blocks surrounding those lines. It’s important to understand the broader context so I can make sure I'm considering everything properly and not overlooking any factors that could affect my approach.

bash -lc sed -n '3218,3345p' /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt && echo '---' && sed -n '3438,3568p' /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt && echo '---' && sed -n '3118,3145p' /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt && echo '---' && sed -n '2245,2365p' /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt

Inspecting buildSetsMarketEngine for key variables

I need to dive deeper into the buildSetsMarketEngine, focusing on supportCount, broadSupport, leadGap, and the final veto/actionable gate. I’ll start by searching for supportCount to understand these variables better and how they're impacting the overall structure.

bash -lc grep -n "supportCount|broadSupport|leadGap|setsHookFragile|forced-pass|leadProb < 0.63|decPressure == 2|sweepPressure == 2|p3Spread > 0.12|p3Spread > 0.10" /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt | sed -n '1,160p'

Inspecting from line 2475 onwards

I need to look more closely around line 2475 and onward. It’s important to dig into this section to see how it connects with the rest of the content and uncover any nuances that could be crucial for understanding the bigger picture.

bash -lc sed -n '2468,2528p' /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt

Checking fake-decider penalty and p3ForTotals

I need to look into the fake-decider penalty and see if it might be located somewhere other than in totalsDeciderAuthority. I'll also search for p3ForTotals, focusing on values like -0.015 and lg, among other possible factors to ensure I account for everything relevant.

bash -lc grep -n "p3ForTotals - 0.015|lane3ov > 0.99|lg > 0.65|fake-decider|fake decider|lane3ov" /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt | sed -n '1,120p'

bash -lc sed -n '19826,19855p' /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt

Applying requested patches and checking updates

I need to apply all the requested patches, including the initial four, to the current version of the user’s script. Since the file is already patched, I’ll focus on applying the next set of patches (W1-W5, T1-T3, L1-L3, S1-S3). I'll create a backup first, then carefully edit the file, probably using Python for robust regex replacements. I’ll inspect key lines like W2 and W4 to ensure I apply the correct changes, such as updating threshold values from the user’s request.### Modifying cgDogVeto conditions

I need to implement changes regarding the cgDogVeto values. First, I’ll keep the condition where adjP2set >= _cgDogVeto. Then, I’ll adjust the inner condition to account for both the original veto and a second veto when adjP2set > 0.60 and favSweepShare > 0.72. I’ll also update the threshold to use lowered _cgDogVeto values. The first veto can be adjusted to occur earlier, as requested. I might make the inner condition more flexible depending on the tour-specific setup.### Adjusting thresholds and implementing logic

I need to adjust the dog thresholds each tour based on the lean and minimum primary values. The dog values should be increased per tour, with adjustments in the VALUE THRESHOLDS block. For totalsDeciderAuthority, I’ll update broadSupport to reflect lane3 > 0.95. Additionally, I’ll adjust conditions for triggers like fragile spread, laneGap, and anti-fake safeguards. I'll likely need to update some of the comparison operators to match exact values.### Adjusting penalty caps and implementing multipliers

I’m considering how to apply the requested changes to the penalties. The cap might go from 0.06 to 0.08, but I’m not sure if I should adjust the multiplier, which could enhance the changes. If I leave the multiplier at 0.06, it might still work for most cases, like ATP and ITF. Additionally, I’ll update the riskContribution cap and L3 logic, focusing on defining thresholds for MID and LOW values based on the given conditions.### Reordering rules and tightening conditions

I’m looking at the placement of leadGap and broadSupport. I want to compute leadGap either before or immediately after broadSupport. I also need to adjust the thresholds for setsHookFragile and the fragile veto conditions. The current check at line 2387 likely triggers the final fragile veto, so I’ll review the section around lines 2368–2395 to ensure it aligns with the desired behavior.

bash -lc sed -n '2368,2405p' /mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt

Adjusting forced-pass checks and implementation

I need to tweak the forced-pass checks for leadProb. User specified changing the condition to leadProb < 0.65 when decPressure == 2 or sweepPressure == 2. I’ll implement this as leadTwo && _decPressure == 2 && leadProb < 0.65. I’ll double-check the decPressure definition to confirm it spans from 0–2, but exact 2 seems correct. Once confirmed, I’ll implement the changes in the script and verify counts.### Updating structural changes and thresholds

I need to adjust the conditional logic for the cluster veto with updated thresholds of >0.065 and >0.35. After reviewing the current snippet, it looks like replacing adjP2set >= 0.63 with adjP2set >= _cgDogVeto || adjP2set > 0.60 along with adjusting the favSweepShare conditions should work. Also, I'll add the disp >= 0.36 update to the supportCount logic. This all seems like a good plan.### Validating updated file and re-upload checks

I need to check if the user requires any of the earlier uploads to be re-uploaded since the current file has been updated. Once that's clear, I’ll go ahead with implementing the changes using the Python script, and I’ll also validate the modified lines to ensure everything is in order.

from pathlib import Path path = Path('/mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt') text = path.read_text()

replacements = [ ("var _dogMinP = _cgIsWta ? 0.27 : _cgIsCh ? 0.28 : 0.28;", "var _dogMinP = _cgIsWta ? 0.29 : _cgIsCh ? 0.30 : 0.30;"), ("var _cgDogSoftP3 = _cgIsWta ? 0.30 : _cgIsCh ? 0.31 : 0.33;", "var _cgDogSoftP3 = _cgIsWta ? 0.33 : _cgIsCh ? 0.34 : 0.36;"), ("var _cgDogBrkP3 = _cgIsWta ? 0.27 : _cgIsCh ? 0.28 : 0.30;", "var _cgDogBrkP3 = _cgIsWta ? 0.30 : _cgIsCh ? 0.31 : 0.33;"), ("var _cgDogVeto = _cgIsWta ? 0.63 : _cgIsCh ? 0.65 : 0.67;", "var _cgDogVeto = _cgIsWta ? 0.61 : _cgIsCh ? 0.63 : 0.65;"), ("var rescueEdgeMin = _cgIsWta ? 0.035 : _cgIsCh ? 0.038 : 0.040;", "var rescueEdgeMin = _cgIsWta ? 0.045 : _cgIsCh ? 0.048 : 0.050;"), ("var trustOk = !!out.scheduleCtx && out.scheduleCtx.coverageMin >= 3;", "var trustOk = !!out.scheduleCtx && out.scheduleCtx.coverageMin >= 4;"), ("""var strongEdgeRescue = Number.isFinite(out.marketEdge) && out.marketEdge >= 0.055 && Number.isFinite(out.pPick) && out.pPick >= 0.33 && !out.structuralCoinFlip;""", """var strongEdgeRescue = Number.isFinite(out.marketEdge) && out.marketEdge > 0.065 && Number.isFinite(out.pPick) && out.pPick > 0.35 && !out.structuralCoinFlip;"""), (""" if (_wdTourK === 'ATP') { minLean = _wdDog ? 0.011 : 0.016; minPrimary = _wdDog ? 0.022 : 0.035; } else if (_wdTourK === 'WTA') { minLean = _wdDog ? 0.013 : 0.019; minPrimary = _wdDog ? 0.026 : 0.040; } else if (_wdTourK === 'CH') { minLean = _wdDog ? 0.014 : 0.021; minPrimary = _wdDog ? 0.028 : 0.042; } else if (_wdTourK === 'ITF') { minLean = _wdDog ? 0.015 : 0.023; minPrimary = _wdDog ? 0.029 : 0.044; } else { minLean = _wdDog ? 0.016 : 0.024; minPrimary = _wdDog ? 0.030 : 0.045; }""", """ if (_wdTourK === 'ATP') { minLean = _wdDog ? 0.014 : 0.016; minPrimary = _wdDog ? 0.028 : 0.035; } else if (_wdTourK === 'WTA') { minLean = _wdDog ? 0.016 : 0.019; minPrimary = _wdDog ? 0.032 : 0.040; } else if (_wdTourK === 'CH') { minLean = _wdDog ? 0.017 : 0.021; minPrimary = _wdDog ? 0.034 : 0.042; } else if (_wdTourK === 'ITF') { minLean = _wdDog ? 0.018 : 0.023; minPrimary = _wdDog ? 0.035 : 0.044; } else { minLean = _wdDog ? 0.019 : 0.024; minPrimary = _wdDog ? 0.036 : 0.045; }"""), (""" var supportCount = 0; if (Number.isFinite(raw) && raw >= 0.36) supportCount++; if (Number.isFinite(adj) && adj >= 0.36) supportCount++; if (Number.isFinite(mkt) && mkt >= 0.36) supportCount++; if (Number.isFinite(hold) && hold >= 0.36) supportCount++; var broadSupport = supportCount >= 2; var fragile = spread >= 0.10;""", """ var supportCount = 0; if (Number.isFinite(raw) && raw >= 0.36) supportCount++; if (Number.isFinite(adj) && adj >= 0.36) supportCount++; if (Number.isFinite(disp) && disp >= 0.36) supportCount++; if (Number.isFinite(mkt) && mkt >= 0.36) supportCount++; if (Number.isFinite(hold) && hold >= 0.36) supportCount++; var broadSupport = supportCount >= ((Number.isFinite(lane3) && lane3 > 0.95) ? 3 : 2); var fragile = spread >= 0.08;"""), ("if (Number.isFinite(laneGap) && laneGap >= 0.45) {", "if (Number.isFinite(laneGap) && laneGap >= 0.35) {"), ("if (_lg >= 0.65 && _lane3ov >= 0.99 && _weakSupport) {", "if (_lg > 0.45 && _lane3ov > 0.97 && _weakSupport) {"), ("_totCtx.p3ForTotals = clamp01(_p3tot - 0.015);", "_totCtx.p3ForTotals = clamp01(_p3tot - 0.030);"), ("var penaltyStrength = Math.min(0.06, lmp.uncertaintyPenalty * 0.06 * tourPenScale);", "var penaltyStrength = Math.min(0.08, lmp.uncertaintyPenalty * 0.06 * tourPenScale);"), ("riskContrib = Math.min(0.30, riskContrib);", "riskContrib = Math.min(0.36, riskContrib);"), (""" if (lmp.nearMass > 0.08) { pen += (lmp.nearMass - 0.08) * 0.12; }""", """ if (lmp.nearMass > 0.06) { pen += (lmp.nearMass - 0.06) * 0.12; }"""), ("return Math.max(0, Math.min(0.04, pen));", "return Math.max(0, Math.min(0.05, pen));"), (""" if (lmp.uncertaintyPenalty > 0.70 && Math.abs(lmp.signedSkew) < 0.20) { return 'LOW'; } if (lmp.uncertaintyPenalty > 0.45) return 'MID'; if (lmp.nearMass > 0.18 && Math.abs(lmp.signedSkew) < 0.30) return 'MID';""", """ if (lmp.uncertaintyPenalty > 0.60 && Math.abs(lmp.signedSkew) < 0.15) { return 'LOW'; } if (lmp.uncertaintyPenalty > 0.70 && Math.abs(lmp.signedSkew) < 0.20) { return 'LOW'; } if (lmp.uncertaintyPenalty > 0.45) return 'MID'; if (lmp.nearMass > 0.18 && Math.abs(lmp.signedSkew) < 0.25) return 'MID';"""), ("var setsHookFragile = (p3Spread > 0.10);", "var setsHookFragile = (p3Spread > 0.08);"), ("if ((setsHookFragile || p3Spread > 0.12) && _risk >= 2) {", "if ((setsHookFragile || p3Spread > 0.10) && _risk >= 2) {"), (""" var supportCount = 0; var supportThr3 = _tourMaxP3 * 0.80; var supportThr2 = 1 - supportThr3; if (leadTwo) { if (Number.isFinite(p3Raw) && (1 - p3Raw) >= supportThr2) supportCount++; if (Number.isFinite(p3ModelAdj) && (1 - p3ModelAdj) >= supportThr2) supportCount++; if (Number.isFinite(p3Mkt) && (1 - p3Mkt) >= supportThr2) supportCount++; if (Number.isFinite(p3Hold) && (1 - p3Hold) >= supportThr2) supportCount++; } else { if (Number.isFinite(p3Raw) && p3Raw >= supportThr3) supportCount++; if (Number.isFinite(p3ModelAdj) && p3ModelAdj >= supportThr3) supportCount++; if (Number.isFinite(p3Mkt) && p3Mkt >= supportThr3) supportCount++; if (Number.isFinite(p3Hold) && p3Hold >= supportThr3) supportCount++; } var broadSupport = (supportCount >= 2); var leadGap = Math.abs(p2Prob - p3Prob); var leanGapReq = broadSupport ? 0.045 : 0.06;

text
        if (leadTwo && _decPressure >= 2 && leadProb < 0.63) {
          out.setsPick = "PASS";
          out.setsConfidence = "LOW";
        } else if (!leadTwo && _sweepPressure >= 2 && leadProb < 0.63) {
          out.setsPick = "PASS";
          out.setsConfidence = "LOW";""",
 """            var supportCount = 0;
        var supportThr3 = _tourMaxP3 * 0.80;
        var supportThr2 = 1 - supportThr3;
        if (leadTwo) {
          if (Number.isFinite(p3Raw) && (1 - p3Raw) >= supportThr2) supportCount++;
          if (Number.isFinite(p3ModelDisplay) && (1 - p3ModelDisplay) >= supportThr2) supportCount++;
          if (Number.isFinite(p3ModelAdj) && (1 - p3ModelAdj) >= supportThr2) supportCount++;
          if (Number.isFinite(p3Mkt) && (1 - p3Mkt) >= supportThr2) supportCount++;
          if (Number.isFinite(p3Hold) && (1 - p3Hold) >= supportThr2) supportCount++;
        } else {
          if (Number.isFinite(p3Raw) && p3Raw >= supportThr3) supportCount++;
          if (Number.isFinite(p3ModelDisplay) && p3ModelDisplay >= supportThr3) supportCount++;
          if (Number.isFinite(p3ModelAdj) && p3ModelAdj >= supportThr3) supportCount++;
          if (Number.isFinite(p3Mkt) && p3Mkt >= supportThr3) supportCount++;
          if (Number.isFinite(p3Hold) && p3Hold >= supportThr3) supportCount++;
        }
        var leadGap = Math.abs(p2Prob - p3Prob);
        var broadSupport = (supportCount >= (leadGap < 0.08 ? 3 : 2));
        var leanGapReq = broadSupport ? 0.045 : 0.06;

        if (leadTwo && _decPressure == 2 && leadProb < 0.65) {
          out.setsPick = "PASS";
          out.setsConfidence = "LOW";
        } else if (!leadTwo && _sweepPressure == 2 && leadProb < 0.65) {
          out.setsPick = "PASS";
          out.setsConfidence = "LOW";"""),

]

Apply direct replacements, tracking failures

failed = [] for old, new in replacements: count = text.count(old) if count != 1: failed.append((old[:80], count)) else: text = text.replace(old, new, 1)

failed[:10], len(failed)

Applying veto block replacement

I need to apply the veto block replacement separately to make sure it is implemented correctly. Focusing on this step individually will help ensure everything works as intended and doesn't affect other parts of the process. It’s a small but essential part of the overall task.

from pathlib import Path path = Path('/mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched.txt') text_old = path.read_text()

use current modified text from previous cell? reload? we need text variable maybe persists. let's use text from globals

snippet_old = """ } else if (adjP2set >= _cgDogVeto) { var favSweepShare = 0; if (Number.isFinite(oppSweep) && Number.isFinite(oppClose)) { favSweepShare = oppSweep / Math.max(0.001, oppSweep + oppClose); }

text
        if (adjP2set >= 0.63 && favSweepShare >= 0.67) {
          clusterBand = "DOG_CLUSTER_VETO";
          clusterDowngrade = true;
          out.reasons.push("cluster veto dog (fav dominates sweep)");
        }
      }"""

snippet_new = """ } else if (adjP2set >= _cgDogVeto || adjP2set > 0.60) { var favSweepShare = 0; if (Number.isFinite(oppSweep) && Number.isFinite(oppClose)) { favSweepShare = oppSweep / Math.max(0.001, oppSweep + oppClose); }

text
        if ((adjP2set >= _cgDogVeto && favSweepShare >= 0.67) ||
            (adjP2set > 0.60 && favSweepShare > 0.72)) {
          clusterBand = "DOG_CLUSTER_VETO";
          clusterDowngrade = true;
          out.reasons.push("cluster veto dog (fav dominates sweep)");
        }
      }"""

count = text.count(snippet_old) count

Writing file continuation

I’ll proceed with continuing and writing to the file. This step is essential to ensure all the changes are properly documented and saved. Once that’s done, I'll verify that everything is in order and ready for the next steps. It’s simple enough but crucial for the workflow!

text = text.replace(snippet_old, snippet_new, 1)

out_path = Path('/mnt/data/Tennislocks_v17.10.0_line_mass_refactor_multichain_test_patched_updated.txt') out_path.write_text(text)

Quick validation checks

checks = { 'dogMinP': "var _dogMinP = _cgIsWta ? 0.29 : _cgIsCh ? 0.30 : 0.30;", 'rescueEdgeMin': "var rescueEdgeMin = _cgIsWta ? 0.045 : _cgIsCh ? 0.048 : 0.050;", 'trustOk': "var trustOk = !!out.scheduleCtx && out.scheduleCtx.coverageMin >= 4;", 'strongEdgeRescue': "Number.isFinite(out.marketEdge) && out.marketEdge > 0.065 &&", 'cgDogSoftP3': "var _cgDogSoftP3 = _cgIsWta ? 0.33 : _cgIsCh ? 0.34 : 0.36;", 'cgDogBrkP3': "var _cgDogBrkP3 = _cgIsWta ? 0.30 : _cgIsCh ? 0.31 : 0.33;", 'cgDogVeto': "var _cgDogVeto = _cgIsWta ? 0.61 : _cgIsCh ? 0.63 : 0.65;", 'dogVetoSecond': "(adjP2set > 0.60 && favSweepShare > 0.72)", 'dogThresholds': "if (_wdTourK === 'ATP') { minLean = _wdDog ? 0.014 : 0.016; minPrimary = _wdDog ? 0.028 : 0.035; }", 'totalsDispSupport': "if (Number.isFinite(disp) && disp >= 0.36) supportCount++;", 'totalsBroadSupport': "var broadSupport = supportCount >= ((Number.isFinite(lane3) && lane3 > 0.95) ? 3 : 2);", 'totalsFragile': "var fragile = spread >= 0.08;", 'laneGap': "if (Number.isFinite(laneGap) && laneGap >= 0.35) {", 'antiFake': "if (_lg > 0.45 && _lane3ov > 0.97 && _weakSupport) {", 'antiFakePenalty': "_totCtx.p3ForTotals = clamp01(_p3tot - 0.030);", 'lmpPenaltyCap': "var penaltyStrength = Math.min(0.08, lmp.uncertaintyPenalty * 0.06 * tourPenScale);", 'lmpRiskCap': "riskContrib = Math.min(0.36, riskContrib);", 'lmpNearMass': "if (lmp.nearMass > 0.06) {", 'lmpConfMax': "return Math.max(0, Math.min(0.05, pen));", 'lmpLowCap': "if (lmp.uncertaintyPenalty > 0.60 && Math.abs(lmp.signedSkew) < 0.15) {", 'lmpMidCap': "if (lmp.nearMass > 0.18 && Math.abs(lmp.signedSkew) < 0.25) return 'MID';", 'setsHookFragile': "var setsHookFragile = (p3Spread > 0.08);", 'setsFragileVeto': "if ((setsHookFragile || p3Spread > 0.10) && _risk >= 2) {", 'setsDisplaySupport': "if (Number.isFinite(p3ModelDisplay) && (1 - p3ModelDisplay) >= supportThr2) supportCount++;", 'setsBroadSupport': "var broadSupport = (supportCount >= (leadGap < 0.08 ? 3 : 2));", 'setsDecPass': "if (leadTwo && _decPressure == 2 && leadProb < 0.65) {", 'setsSweepPass': "} else if (!leadTwo && _sweepPressure == 2 && leadProb < 0.65) {", } missing = [k for k,v in checks.items() if v not in text] missing, out_path, out_path.stat().st_size

Thought for 5m 12s

Risposta

Done: download the updated txt

If you want me to patch any of the earlier expired uploads too, re-upload them and I can update those as well.

Condividi questa Q&A