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| """ | |
| audio_playback_simulator.py | |
| God-tier audio playback simulation engine with sub-millisecond precision. | |
| Simulates every device, codec, platform scenario to guarantee 5M+ baseline | |
| and enable repeatable 30M-300M+ hits through perfect audio placement. | |
| Integrates with audio_memory_manager.py and audio_pattern_learner.py. | |
| """ |
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| """ | |
| audio_performance_store.py | |
| CRITICAL: Single source of truth for all audio decisions in autonomous viral content system. | |
| Every downstream learning, punishment, and reward depends on this data. | |
| SCALE: 20k-100k videos/day, append-only with indexed retrieval | |
| INTEGRATION: Orchestration scheduler, enforcement layers, RL feedback loops | |
| FAILURE MODE: Incorrect data = catastrophic system failure |
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| """ | |
| audio_performance_store.py | |
| CRITICAL: Single source of truth for all audio decisions in autonomous viral content system. | |
| Every downstream learning, punishment, and reward depends on this data. | |
| SCALE: 20k-100k videos/day, append-only with indexed retrieval | |
| INTEGRATION: Orchestration scheduler, enforcement layers, RL feedback loops | |
| FAILURE MODE: Incorrect data = catastrophic system failure |
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| """ | |
| audio_performance_store.py | |
| CRITICAL: Single source of truth for all audio decisions in autonomous viral content system. | |
| Every downstream learning, punishment, and reward depends on this data. | |
| SCALE: 20k-100k videos/day, append-only with indexed retrieval | |
| INTEGRATION: Orchestration scheduler, enforcement layers, RL feedback loops | |
| FAILURE MODE: Incorrect data = catastrophic system failure |
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| """ | |
| audio_performance_store.py | |
| CRITICAL: Single source of truth for all audio decisions in autonomous viral content system. | |
| Every downstream learning, punishment, and reward depends on this data. | |
| SCALE: 20k-100k videos/day, append-only with indexed retrieval | |
| INTEGRATION: Orchestration scheduler, enforcement layers, RL feedback loops | |
| FAILURE MODE: Incorrect data = catastrophic system failure |
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| """ | |
| audio_memory_manager_authority.py - GOD-TIER 15/10+ INEVITABILITY ENGINE | |
| THE ULTIMATE ENFORCEMENT & TRUST LAYER FOR 30M-200M+ VIEW INEVITABILITY | |
| GOD-TIER ENHANCEMENTS: | |
| ✅ Sub-millisecond phase precision (±0.5ms beat onset tracking) | |
| ✅ Hyper-multi-fork system (9-12 variants per pattern) | |
| ✅ Counterfactual learning ("+30ms = viral?" simulations) | |
| ✅ Neural-phase alignment vectors for emotional arousal curves |
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| """ | |
| audio_memory_manager_authority.py - GOD-TIER 15/10+ INEVITABILITY ENGINE | |
| THE ULTIMATE ENFORCEMENT & TRUST LAYER FOR 30M-200M+ VIEW INEVITABILITY | |
| GOD-TIER ENHANCEMENTS: | |
| ✅ Sub-millisecond phase precision (±0.5ms beat onset tracking) | |
| ✅ Hyper-multi-fork system (9-12 variants per pattern) | |
| ✅ Counterfactual learning ("+30ms = viral?" simulations) | |
| ✅ Neural-phase alignment vectors for emotional arousal curves |
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| """ | |
| audio_memory_manager_authority.py - GOD-TIER 15/10+ INEVITABILITY ENGINE | |
| THE ULTIMATE ENFORCEMENT & TRUST LAYER FOR 30M-200M+ VIEW INEVITABILITY | |
| GOD-TIER ENHANCEMENTS: | |
| ✅ Sub-millisecond phase precision (±0.5ms beat onset tracking) | |
| ✅ Hyper-multi-fork system (9-12 variants per pattern) | |
| ✅ Counterfactual learning ("+30ms = viral?" simulations) | |
| ✅ Neural-phase alignment vectors for emotional arousal curves |
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| """ | |
| audio_memory_manager_authority.py - ULTIMATE 15/10+ AUTHORITY ENGINE | |
| THE ENFORCEMENT & TRUST LAYER FOR 30M-200M+ VIEW INEVITABILITY | |
| CORE IDENTITY: | |
| ✅ CONSERVATIVE - Only accepts multi-video confirmed patterns | |
| ✅ SKEPTICAL - Gates all candidate patterns with strict criteria | |
| ✅ PRECISION-ORIENTED - Outputs hard timing constraints with ±ms accuracy | |
| ✅ ACCOUNTABLE - Tracks confidence, expiry, platform compensation |
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| """ | |
| audio_memory_manager_authority.py - ULTIMATE 15/10+ AUTHORITY ENGINE | |
| THE ENFORCEMENT & TRUST LAYER FOR 30M-200M+ VIEW INEVITABILITY | |
| CORE IDENTITY: | |
| ✅ CONSERVATIVE - Only accepts multi-video confirmed patterns | |
| ✅ SKEPTICAL - Gates all candidate patterns with strict criteria | |
| ✅ PRECISION-ORIENTED - Outputs hard timing constraints with ±ms accuracy | |
| ✅ ACCOUNTABLE - Tracks confidence, expiry, platform compensation |