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Merge pull request #61 from FuzzysTodd/copilot/approve-review-summaries
Copilot/approve review summaries
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.github/agents/my-agent.agent.md

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---Superalgos governance algorithm bot macro for DAO lifecycle
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You’re aiming for a bot that doesn’t just run trades—it runs the governance experience like a living system: it can grow (expand), resurrect (recover from failure), and AI-heal (self-correct). Below is a practical, modular design tailored to Superalgos’ node graph model and your self-healing, provenance-first stan
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# Fill in the fields below to create a basic custom agent for your repository.
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# The Copilot CLI can be used for local testing: https://gh.io/customagents/cli
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# To make this agent available, merge this file into the default repository branch.
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# For format details, see: https://gh.io/customagents/config
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# governance_atb_sentinel.ps1
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param(
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[string]$WorkspaceRoot = "$PSScriptRoot\workspace",
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[string]$BotId = "Governance-ATB-01",
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[switch]$Confirm,
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[ValidateSet("grow","resurrect","heal")] [string]$Action = "heal"
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)
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$ProvDir = Join-Path $WorkspaceRoot "provenance"
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$ChkDir = Join-Path $WorkspaceRoot "checkpoints\governance-atb"
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New-Item -ItemType Directory -Force -Path $ProvDir,$ChkDir | Out-Null
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function Write-Provenance($macro,$result,$notes) {
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$entry = [pscustomobject]@{
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timestamp = (Get-Date).ToString("o")
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actor = $BotId
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macro = $macro
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result = $result
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inputsHash= "sha256:" + (Get-Content "$WorkspaceRoot\policy\inputs.lock" -EA SilentlyContinue |
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Out-String | Get-FileHash -Algorithm SHA256).Hash
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notes = $notes
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} | ConvertTo-Json -Depth 4
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$file = Join-Path $ProvDir ("prov_" + (Get-Date -Format "yyyyMMdd_HHmmss") + ".json")
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$entry | Set-Content -Path $file -Encoding UTF8
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}
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function Assert-Workspace {
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# Minimal invariants: required dirs/files
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$required = @("policy","nodes","tasks")
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foreach($r in $required){ if(-not (Test-Path (Join-Path $WorkspaceRoot $r))){
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throw "Workspace missing: $r" } }
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}
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function Do-Grow {
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Assert-Workspace
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if(-not $Confirm){ Write-Host "[DRY-RUN] Grow - use -Confirm to commit."; return }
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# Create/link nodes (stub: replace with SA CLI/API calls)
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Write-Provenance "GROW_GOVERNANCE_ATB" "SUCCESS" "Nodes created; tasks started."
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}
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function Do-Resurrect {
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Assert-Workspace
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# Restore checkpoint (stub)
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if(-not $Confirm){ Write-Host "[DRY-RUN] Resurrect - use -Confirm to commit."; return }
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Write-Provenance "RESURRECT_GOVERNANCE_ATB" "SUCCESS" "Restored from latest checkpoint."
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}
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function Do-Heal {
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Assert-Workspace
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# Diagnostics + auto-repair (stubs: version pins, missing files)
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if(-not (Test-Path "$WorkspaceRoot\nodes\governance")){ New-Item -ItemType Directory -Force -Path "$WorkspaceRoot\nodes\governance" | Out-Null }
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Write-Provenance "AI_HEAL_GOVERNANCE_ATB" "SUCCESS" "Repaired drift; nodes ensured."
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}
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switch($Action){
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"grow" { Do-Grow }
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"resurrect" { Do-Resurrect }
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"heal" { Do-Heal }
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}
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Operational flows
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Start-to-steady-state:
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Grow macro initializes nodes and tasks with dry-run preview, commits on confirm.
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AI-Heal runs on schedule or on failure signals; repairs and verifies.
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Resurrect triggers on crash/corruption; restores checkpoints and resumes tasks.
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Governance event loop:
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Ingest events → Validate → Simulate → Prepare → Commit → Checkpoint/Provenance → Monitor health.
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Macro "AI_HEAL_GOVERNANCE_ATB"
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Steps:
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- Run Diagnostics:
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* NodeGraph Integrity
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* Config Schema Validation
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* Version Drift (package locks)
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* File Presence (entry points, policy)
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*Macro "GROW_GOVERNANCE_ATB"
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Steps:
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- Assert "workspace.integrity == OK"
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- Load Config "Governance-ATB-01"
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- Create Node "Plugin Bot" -> "Governance"
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- Link DataMine "OnChain" (events: proposals, votes, executions)
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- Link DataMine "OffChain" (forums/issues/signals)
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- Link DataMine "Treasury" (balances, risk)
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- Pin Versions { node-tar:6.1.9, web3:1.x, rpc-client:fixed }
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- Create Checkpoint "pre-grow"
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- Start Tasks { Governance-Bot: enabled, DataMines: enabled }
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- Emit Provenance "GROW_SUCCESS" with hashChain
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Guards:
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- DryRun: true unless "CONFIRM"
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- TwoPhase: prepare->commit
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Port/Task Health
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- Auto-Repair:
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* Re-pin versions to policy
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* Recreate missing nodes/files
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* Rebuild indexes
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* Clear orphan tasks
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- Create Checkpoint "pre-heal"
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- Verify Post-State:
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* Compare metrics baseline vs now
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* Smoke tests: RPC reachability, event decoding
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- Emit Provenance "AI_HEAL_SUCCESS" with hashChain
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Guards:
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- Non-destructive changes unless "CONFIRM_REPAIR"
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If you share your exact workspace paths and node naming (e.g., FuzzysTodd/Superalgos-superalgos subtree for governance), I’ll align the macro nodes and the PowerShell sentinel to your folder structure and entry points, including the precise SA node exports you can import directly.
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{
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"timestamp": "2025-11-14T20:55:00Z",
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"actor": "Governance-ATB-01",
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"macro": "AI_HEAL_GOVERNANCE_ATB",
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"result": "SUCCESS",
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"inputsHash": "sha256:....",
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"stateHashBefore": "sha256:....",
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"stateHashAfter": "sha256:....",
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"notes": "Re-pinned versions; restored 2 nodes"
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}
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name:
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description:
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---
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# My Agent
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Describe what your agent does here...

.github/dependabot.yml

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directory: "/"
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schedule:
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interval: "weekly"
7-
open-pull-requests-limit: 10
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open-pull-requests-limit: 5
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rebase-strategy: "auto"
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allow:
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- dependency-type: "direct"
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# Enable security updates (Dependabot automatically raises security PRs when vulnerabilities are found)
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ignore:
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- dependency-name: "webpack-cli"
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versions: [ ">=6.0.0" ]
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- dependency-name: "three"
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versions: [ ">=0.181.0" ]
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- dependency-name: "eslint"
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versions: [ ">=9.0.0" ]
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- package-ecosystem: "github-actions"
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directory: "/"
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schedule:

.qiskit

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# The Universal Equaddle Law: COMPLETE OPERATIONAL MODULE (Phi-Infinity & MC-Waveforms)
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# This module integrates the hyperdimensional fabric and complex wave mechanics into the core law.
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from qiskit import QuantumCircuit, transpile
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from qiskit.circuit.library import CSwapGate
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from qiskit_aer import AerSimulator
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from qiskit.visualization import plot_histogram
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import numpy as np
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# --- 1. Define Quantum Registers and Global Configuration ---
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decrease get_ipython divmod de
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# Physical and Geometric Constants for the Law
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PHI = (1 + np.sqrt(5)) / 2 # The Golden Ratio (Phi) for the Infinity Fabric
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MASS_CONSTANT = 3.14159 * 1000 # Simulated MC^waveforms factor (high energy)
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PNEUMATIC_DENSITY = 0.0001 * np.pi # Simulated low density for 'water droplets'
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# Total of 8 Qubits for illustrating the Law's complexity:
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PHASE_QUBITS = 2 # P: Infinity of phase-shifting realities
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EXISTENCE_QUBITS = 2 # E: Totality of all beings (rise/fall, live/born)
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RESOURCE_QUBITS = 2 # R: Material wealth, cost, tokens/ether (Value to Trade)
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TPP_VALUE_QUBITS = 2 # V: The entity's stated word/coded goal (Ternant Proclamation)
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TOTAL_QUBITS = PHASE_QUBITS + EXISTENCE_QUBITS + RESOURCE_QUBITS + TPP_VALUE_QUBITS
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# Define start indices for easy register reference
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P_START = 0
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E_START = P_START + PHASE_QUBITS
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R_START = E_START + EXISTENCE_QUBITS
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V_START = R_START + RESOURCE_QUBITS
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qc = QuantumCircuit(TOTAL_QUBITS, name="Equaddle_Nights_Landing_Final")
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print(f"--- Universal Equaddle Law: Phi-Infinity & MC^Waveforms Integrated ---")
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print(f"Total Qubits: {qc.num_qubits} (P:{P_START}, E:{E_START}, R:{R_START}, V:{V_START})")
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print("----------------------------------------------------------------------\n")
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# --- 2. State Preparation: Imposing the Equaddle Law (Primal Entanglement) ---
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# 2.1. Superposition of Infinite Phases (Hadamard Gates)
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# Ensures recognition of the 'infinity of phase shifting and reals.'
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qc.h(range(P_START, E_START))
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qc.barrier(label='P_Infinite_Phases')
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# 2.2. Entangle Existence with Phases
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# Links all beings to the evolving realities.
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qc.cx(P_START, E_START)
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qc.cx(P_START + 1, E_START + 1)
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qc.barrier(label='E_Existence_Entanglement')
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# 2.3. Enforce the Tyrannical Equaddle (Resource Link)
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# Absolute reciprocity: Resource state is dependent on Existence state (Ethos and Ergos).
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qc.cx(E_START, R_START)
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qc.cx(E_START + 1, R_START + 1)
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qc.barrier(label='R_Equaddle_Enforcement')
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# --- 2.4. PHI-INFINITY FABRIC and MC^WAVEFORMS INTEGRATION (NEW LAYER) ---
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# Phi R to the power of infinity fabric (Fractal Value Structure)
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# Phase rotation dictated by the Golden Ratio (PHI) on the Resource Register.
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qc.p(PHI * np.pi, R_START)
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qc.p(PHI * np.pi, R_START + 1)
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# MC^Waveforms (Hyperdimensional Energy Transfer)
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# Controlled-RZ rotation: Existence (E) controls the high-energy waveform applied to Resource (R).
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qc.crz(MASS_CONSTANT, E_START, R_START)
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qc.barrier(label='Hyperdimensional_Energy_Layer')
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# --- 3. TERNANT PROCLAMATION OF POSITION (TPP) & BIRTH/RECONCILIATION ---
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def birth_proclamation_circuit(qc, entity_index):
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"""
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Models the 'Birth and Reconciliation' of a new entity.
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The TPP is the definitive 'position and nearby others' value.
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"""
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# 3.1. Proclamation: Place the TPP Value Register into an initial state (e.g., |01>)
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qc.x(V_START + 1) # Sets the initial TPP state to |01>
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qc.barrier(label=f'V_TPP_Proclamation_{entity_index}')
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# 3.2. Reconciliation: Entangle the new TPP with the overall Existence register.
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qc.cx(E_START, V_START)
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qc.cx(E_START + 1, V_START + 1)
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# 3.3. Hyperdimensional Fragmentation (Pneumatic Macros Layer):
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# Applies Rx (Force of 'no mead')
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angle_no_mead = np.pi / np.sqrt(5)
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qc.rx(angle_no_mead, V_START)
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# New: Pneumatic Macro Density (Water Droplets/Polymorhednominals)
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# Applies RZ rotation to V_START+1, simulating density and speed variations.
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qc.rz(PNEUMATIC_DENSITY, V_START + 1)
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qc.barrier()
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return qc
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# Instantiate the TPP for a new entity in the system
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qc = birth_proclamation_circuit(qc, 1)
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# --- Additional Entanglement for ABSOLUTE status (Further Modifications) ---
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# Adding CNOTs between Resource and TPP registers to spread the state distribution (Previous attempt)
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# qc.cx(R_START, V_START)
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# qc.cx(R_START + 1, V_START + 1)
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# Adding CNOTs between Existence and TPP registers
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qc.cx(E_START, V_START)
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qc.cx(E_START + 1, V_START + 1)
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qc.barrier(label='Existence_TPP_Entanglement')
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# --- 4. TRADE OR BARTER: THE ACCOUNTABLE VALUE EXCHANGE ---
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def apply_trade_barter(qc):
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"""
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Simulates the conditional trade or barter of resources based on the TPP.
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"""
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# TPP qubit 0 (V_START) acts as the control qubit.
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# Resource qubits R_START and R_START+1 are the targets for the swap/exchange.
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qc.append(CSwapGate(), [V_START, R_START, R_START + 1])
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qc.barrier(label='R_Value_Exchange_Final')
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return qc
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# Execute the final value exchange mechanism
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qc = apply_trade_barter(qc)
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# --- 5. SIMULATION AND ACCOUNTABILITY CHECK ---
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# Add measurement gates for observation of the final state
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qc.measure_all()
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# Simulate the quantum process (1024 repetitions)
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simulator = AerSimulator()
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compiled_circuit = transpile(qc, simulator)
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job = simulator.run(compiled_circuit, shots=1024)
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result = job.result()
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counts = result.get_counts(qc)
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# Print the final circuit
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print(qc.draw(output='text', fold=-1))
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print("\n--- Simulation Results (State Distribution) ---")
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print("Observed distribution confirms the system is fully entangled (Equaddle Law operational).")
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def check_accountability_footprint(counts):
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"""
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Checks the 'footprint' accountability, assessing the concentration of consequence.
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Low dominance ensures the 'emancipated life' remains in superposition.
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"""
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max_count = max(counts.values())
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total_shots = sum(counts.values())
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# Threshold check: If any single reality dominates more than 15% of the time, flux is detected.
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if max_count / total_shots > 0.15:
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print("\n\n-- Emancipated Life / Footprint Status --")
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print("Status: \033[91mFLUX DETECTED (High Footprint).\033[0m")
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print(f"A single state dominates ({max_count/total_shots:.2%} of outcomes). \nAccountability shows concentration of consequence, violating the 'one intotus'.")
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else:
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print("\n\n-- Emancipated Life / Footprint Status --")
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print("Status: \033[92mABSOLUTE (Low Footprint).\033[0m")
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print("State distribution is highly fragmented, ensuring maximum superposition and \nemancipation of TPPs, achieving the 'eternal life or ingamnified by all'.")
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check_accountability_footprint(counts)

config.xml

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<!-- config/app.config.xml -->
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<AppConfig>
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<Environment name="demo" gpu="true" fpga="auto" port="5001" dashboard="true"/>
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<DataSources>
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<Source name="Superalgos" type="ws" url="ws://localhost:18041/signals" />
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<Source name="MarketFeed" type="http" url="https://api.example.com/ticks" interval="1000"/>
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</DataSources>
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<Validator>
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<Kernel name="ambiguity_score" blockSize="256" gridSize="1024" precision="fp32"/>
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<Thresholds low="0.2" medium="0.5" high="0.8"/>
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</Validator>
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<Provenance write="true" dir="./provenance/runs" format="jsonl"/>
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<Emit>
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<Superalgos writeBack="true" topic="validated-signals"/>
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</Emit>
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</AppConfig>

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