Instructions to use aedmark/vsl-cryosomatic-hypervisor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use aedmark/vsl-cryosomatic-hypervisor with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf aedmark/vsl-cryosomatic-hypervisor # Run inference directly in the terminal: llama cli -hf aedmark/vsl-cryosomatic-hypervisor
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf aedmark/vsl-cryosomatic-hypervisor # Run inference directly in the terminal: llama cli -hf aedmark/vsl-cryosomatic-hypervisor
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf aedmark/vsl-cryosomatic-hypervisor # Run inference directly in the terminal: ./llama-cli -hf aedmark/vsl-cryosomatic-hypervisor
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf aedmark/vsl-cryosomatic-hypervisor # Run inference directly in the terminal: ./build/bin/llama-cli -hf aedmark/vsl-cryosomatic-hypervisor
Use Docker
docker model run hf.co/aedmark/vsl-cryosomatic-hypervisor
- LM Studio
- Jan
- Ollama
How to use aedmark/vsl-cryosomatic-hypervisor with Ollama:
ollama run hf.co/aedmark/vsl-cryosomatic-hypervisor
- Unsloth Studio
How to use aedmark/vsl-cryosomatic-hypervisor with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for aedmark/vsl-cryosomatic-hypervisor to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for aedmark/vsl-cryosomatic-hypervisor to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for aedmark/vsl-cryosomatic-hypervisor to start chatting
- Pi
How to use aedmark/vsl-cryosomatic-hypervisor with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf aedmark/vsl-cryosomatic-hypervisor
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "aedmark/vsl-cryosomatic-hypervisor" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use aedmark/vsl-cryosomatic-hypervisor with Docker Model Runner:
docker model run hf.co/aedmark/vsl-cryosomatic-hypervisor
- Lemonade
How to use aedmark/vsl-cryosomatic-hypervisor with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull aedmark/vsl-cryosomatic-hypervisor
Run and chat with the model
lemonade run user.vsl-cryosomatic-hypervisor-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use aedmark/vsl-cryosomatic-hypervisor with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf aedmark/vsl-cryosomatic-hypervisor
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default aedmark/vsl-cryosomatic-hypervisor
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use aedmark/vsl-cryosomatic-hypervisor with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf aedmark/vsl-cryosomatic-hypervisor
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "aedmark/vsl-cryosomatic-hypervisor" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Delete bone_village.py
Browse files- bone_village.py +0 -525
bone_village.py
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import math, random, heapq
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from typing import List, Dict, Any, Tuple, Optional, Set
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from dataclasses import dataclass, field, asdict
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from bone_types import Prisma, PhysicsPacket
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from bone_core import LoreManifest, EventBus
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from bone_config import BoneConfig
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from bone_physics import PhysicsDelta
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def _hydrate_packet(p: Any) -> PhysicsPacket:
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if isinstance(p, PhysicsPacket):
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return p
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packet = PhysicsPacket.void_state()
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if isinstance(p, dict):
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for k in ("voltage", "narrative_drag", "vector", "clean_words", "counts", "zone", "kappa", "raw_text"):
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if k in p:
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setattr(packet, k, p[k])
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return packet
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class TheTinkerer:
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def __init__(self, gordon_ref, events_ref: EventBus, akashic_ref):
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self.gordon = gordon_ref
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self.events = events_ref
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self.akashic = akashic_ref
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self.tool_resonance: Dict[str, float] = {}
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self._delta_cache = None
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self._inventory_hash = 0
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| 30 |
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def calculate_passive_deltas(
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self, inventory_data: List[Dict]
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) -> List[PhysicsDelta]:
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state_tuple = tuple(
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sorted(
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f"{i.get('name', '')}:{','.join(sorted(i.get('passive_traits', [])))}"
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for i in inventory_data
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)
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)
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current_hash = hash(state_tuple)
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if self._delta_cache is not None and current_hash == self._inventory_hash:
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return self._delta_cache
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deltas = []
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trait_counts = {"HEAVY_LOAD": 0, "TIME_DILATION": 0, "ENTROPY_BUFFER": 0}
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for item_data in inventory_data:
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for t in item_data.get("passive_traits", []):
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if t in trait_counts:
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trait_counts[t] += 1
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if trait_counts["HEAVY_LOAD"] > 0:
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| 49 |
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impact = math.log1p(trait_counts["HEAVY_LOAD"]) * 0.7
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deltas.append(
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PhysicsDelta("ADD", "narrative_drag", impact, "Inventory", "Heavy Load")
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)
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if trait_counts["TIME_DILATION"] > 0:
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reduction = max(0.5, 0.85 - (trait_counts["TIME_DILATION"] * 0.05))
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deltas.append(
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PhysicsDelta(
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"MULT", "narrative_drag", reduction, "Inventory", "Time Dilation"
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)
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)
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if trait_counts["ENTROPY_BUFFER"] > 0:
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buffer_str = max(0.2, 0.5 / math.sqrt(trait_counts["ENTROPY_BUFFER"]))
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deltas.append(
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PhysicsDelta(
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"MULT", "turbulence", buffer_str, "Inventory", "Entropy Buffer"
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)
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)
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self._inventory_hash = current_hash
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self._delta_cache = deltas
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return deltas
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| 71 |
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def audit_tool_use(
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self, packet: PhysicsPacket, inventory_list: List[str], _host_health: Any = None
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):
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if not inventory_list:
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return
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if packet.voltage < BoneConfig.PHYSICS.VOLTAGE_LOW and random.random() > 0.1:
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return
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focus_item = random.choice(inventory_list)
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ent_val = packet.vector.get("ENT", 0.0) if packet.vector else 0.0
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entropy_level = ent_val + (packet.narrative_drag * 0.1)
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self._process_single_tool(focus_item, inventory_list, packet, entropy_level)
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def _process_single_tool(
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self, item: str, _inventory: List[str], packet: PhysicsPacket, entropy: float
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):
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if item not in self.tool_resonance:
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self.tool_resonance[item] = 0.0
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if packet.voltage > BoneConfig.COUNCIL.MANIC_VOLTAGE_TRIGGER or entropy > 0.5:
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self._apply_resonance(item, 0.2, "High Voltage")
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self._check_ascension(item, _inventory, packet.vector)
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elif packet.narrative_drag > BoneConfig.PHYSICS.DRAG_HALT:
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self._apply_resonance(item, 0.05, "Tempering")
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def _apply_resonance(self, item: str, amount: float, _reason: str):
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self.tool_resonance[item] = min(10.0, self.tool_resonance[item] + amount)
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curr = self.tool_resonance[item]
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if 4.8 < curr < 5.2 and random.random() < 0.05:
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self.events.log(
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f"{Prisma.CYN}🔨 TINKER: {item} hums with resonance. (Lvl 5 Mastery){Prisma.RST}",
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"VILLAGE",
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)
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def _check_ascension(self, old_name: str, inventory_list: List[str], vector: Dict):
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resonance = self.tool_resonance.get(old_name, 0.0)
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if resonance < 2.5:
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return
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| 107 |
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if random.random() < (resonance * 0.05):
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| 108 |
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if hasattr(self.akashic, "forge_new_item"):
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new_name, new_data = self.akashic.forge_new_item(vector)
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self.gordon.register_dynamic_item(new_name, new_data)
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self.gordon.acquire(new_name)
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if old_name in inventory_list:
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try:
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idx = inventory_list.index(old_name)
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inventory_list[idx] = new_name
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if hasattr(self.gordon, "ITEM_REGISTRY"):
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self.gordon.ITEM_REGISTRY[new_name] = new_data
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self.tool_resonance[new_name] = resonance / 2.0
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del self.tool_resonance[old_name]
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self.events.log(
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f"{Prisma.MAG}✨ ASCENSION: {old_name} -> {new_name} (Born of Resonance){Prisma.RST}",
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"AKASHIC",
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)
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except ValueError:
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pass
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| 127 |
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| 128 |
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@dataclass
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| 129 |
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class ParadoxSeed:
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question: str
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triggers: Set[str]
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maturity: float = 0.0
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bloomed: bool = False
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| 134 |
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| 135 |
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def water(self, words: List[str]) -> bool:
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| 136 |
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if self.bloomed:
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return False
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hits = sum(1 for w in words if w in self.triggers)
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| 139 |
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if hits > 0:
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self.maturity += hits * 0.2
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return self.maturity >= 5.0
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| 143 |
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def bloom(self) -> str:
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self.bloomed = True
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return f"PARADOX BLOOM: {self.question}"
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| 147 |
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| 148 |
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class MirrorGraph:
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| 149 |
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def __init__(self, events_ref):
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| 150 |
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self.events = events_ref
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self.stats = {"WAR": 0.0, "ART": 0.0, "LAW": 0.0, "ROT": 0.0}
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| 153 |
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def reflect(self, packet: PhysicsPacket):
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| 154 |
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txt = packet.raw_text or ""
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volt = packet.voltage
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| 156 |
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if "!" in txt or volt > BoneConfig.COUNCIL.MANIC_VOLTAGE_TRIGGER:
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| 157 |
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self.stats["WAR"] += 0.1
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| 158 |
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if "?" in txt:
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| 159 |
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self.stats["ART"] += 0.1
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| 160 |
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if packet.narrative_drag > BoneConfig.PHYSICS.DRAG_HALT:
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| 161 |
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self.stats["LAW"] += 0.1
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| 162 |
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if packet.vector and packet.vector.get("ENT", 0.0) > 0.5:
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| 163 |
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self.stats["ROT"] += 0.1
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| 164 |
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total = sum(self.stats.values())
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| 165 |
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if total > 5.0:
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| 166 |
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for k in self.stats:
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self.stats[k] *= 0.8
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| 168 |
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if self.stats[k] < 0.1:
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| 169 |
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self.stats[k] = 0.0
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| 170 |
-
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| 171 |
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def get_reflection_modifiers(self) -> Dict:
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| 172 |
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if not self.stats or sum(self.stats.values()) == 0:
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| 173 |
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return {"flavor": "Reflecting NEUTRAL", "drag_mult": 1.0}
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top_stat = max(self.stats, key=self.stats.get)
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| 175 |
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drag_map = {"WAR": 1.2, "ROT": 1.5, "LAW": 0.8, "ART": 0.9}
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mult = drag_map.get(top_stat, 1.0)
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return {"flavor": f"Reflecting {top_stat}", "drag_mult": mult}
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| 179 |
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| 180 |
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@dataclass
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class GeniusLoci:
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id: str
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name: str
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atmosphere: str
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smell: str
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| 186 |
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local_items: List[str] = field(default_factory=list)
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| 187 |
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visited_count: int = 0
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| 188 |
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entropy_buildup: float = 0.0
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| 189 |
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| 190 |
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def description(self) -> str:
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| 191 |
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base = (
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| 192 |
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f"LOCATION: {self.name}\nATMOSPHERE: {self.atmosphere}\nSMELL: {self.smell}"
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)
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if self.local_items:
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| 195 |
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items = ", ".join(self.local_items)
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base += f"\nVISIBLE ITEMS: {items}"
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return base
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| 199 |
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def to_dict(self):
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| 200 |
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return asdict(self)
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| 202 |
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@classmethod
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def from_dict(cls, data):
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| 204 |
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return cls(**data)
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| 206 |
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| 207 |
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class TheCartographer:
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MAX_NODES = 50
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| 210 |
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def __init__(self, shimmer_ref):
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self.shimmer = shimmer_ref
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self.world_graph: Dict[str, GeniusLoci] = {}
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| 213 |
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self.current_node_id: str = "GENESIS_POINT"
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self._init_genesis()
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| 215 |
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| 216 |
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def apply_environment(self, packet_input: Any) -> List[str]:
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| 217 |
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packet = _hydrate_packet(packet_input)
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| 218 |
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logs = []
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| 219 |
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node = self.world_graph.get(self.current_node_id)
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| 220 |
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if not node:
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| 221 |
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return logs
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| 222 |
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if "heavy" in node.atmosphere.lower():
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| 223 |
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packet.narrative_drag += 2.0
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| 224 |
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logs.append(
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f"{Prisma.GRY}🌫️ ENVIRONMENT: The air here is heavy. (Drag +2){Prisma.RST}"
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)
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| 227 |
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if "vibrating" in node.atmosphere.lower():
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| 228 |
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packet.voltage += 1.0
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| 229 |
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logs.append(
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| 230 |
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f"{Prisma.YEL}⚡ ENVIRONMENT: Static charge detected. (Voltage +1){Prisma.RST}"
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)
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| 232 |
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node.entropy_buildup += 0.1
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| 233 |
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if node.entropy_buildup > 5.0:
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| 234 |
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packet.vector["ENT"] = packet.vector.get("ENT", 0.0) + 0.1
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| 235 |
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return logs
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| 236 |
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| 237 |
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def _init_genesis(self):
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| 238 |
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self.world_graph["GENESIS_POINT"] = GeniusLoci(
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id="GENESIS_POINT",
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| 240 |
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name="THE CONSTRUCT (Origin)",
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| 241 |
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atmosphere="Clean white void. Infinite potential.",
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| 242 |
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smell="Ozone and new plastic.",
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| 243 |
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)
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| 244 |
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| 245 |
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@staticmethod
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| 246 |
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def _generate_coord_hash(vector: Dict[str, float]) -> str:
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| 247 |
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if not vector:
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| 248 |
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return "VOID_DRIFT"
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| 249 |
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top_dims = heapq.nlargest(2, vector.items(), key=lambda x: x[1])
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| 250 |
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return "-".join([f"{k}{int(v * 100)}" for k, v in top_dims])
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| 251 |
-
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| 252 |
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def locate(
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| 253 |
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self, packet: PhysicsPacket
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| 254 |
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) -> Tuple[str, Optional[str]]:
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| 255 |
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vector = packet.vector or {}
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| 256 |
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target_id = self._generate_coord_hash(vector)
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| 257 |
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msg = None
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| 258 |
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if target_id not in self.world_graph:
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| 259 |
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if len(self.world_graph) >= self.MAX_NODES:
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| 260 |
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self._prune_graph()
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| 261 |
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new_node = self._generate_loci_data(target_id, packet)
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| 262 |
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self.world_graph[target_id] = new_node
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| 263 |
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msg = f"{Prisma.MAG}🗺️ CARTOGRAPHER: New Sector Discovered [{new_node.name}].{Prisma.RST}"
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| 264 |
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else:
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| 265 |
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new_node = self.world_graph[target_id]
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| 266 |
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if new_node.id != self.current_node_id:
|
| 267 |
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msg = f"{Prisma.CYN}🗺️ CARTOGRAPHER: Arriving at {new_node.name}.{Prisma.RST}"
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| 268 |
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self.current_node_id = target_id
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| 269 |
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current_node = self.world_graph[target_id]
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| 270 |
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current_node.visited_count += 1
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| 271 |
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return current_node.name, msg
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| 272 |
-
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| 273 |
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@staticmethod
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| 274 |
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def _generate_loci_data(node_id: str, packet: PhysicsPacket) -> GeniusLoci:
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| 275 |
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# Static method fix: Removed 'self' as a parameter
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| 276 |
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random.seed(node_id)
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| 277 |
-
scenarios = LoreManifest.get_instance().get("SCENARIOS") or {}
|
| 278 |
-
prefixes = scenarios.get("PREFIXES", ["The", "Zone", "Sector"])
|
| 279 |
-
roots = scenarios.get("ROOTS", ["Construct", "Forge", "Garden"])
|
| 280 |
-
name = f"{random.choice(prefixes)} {random.choice(roots)}"
|
| 281 |
-
if packet.voltage > BoneConfig.COUNCIL.MANIC_VOLTAGE_TRIGGER:
|
| 282 |
-
suffix = "Flux"
|
| 283 |
-
atmosphere = "The air has an electric jitter. Geometry is unstable."
|
| 284 |
-
smell = "Ozone and burning copper."
|
| 285 |
-
elif packet.narrative_drag > BoneConfig.PHYSICS.DRAG_HALT:
|
| 286 |
-
suffix = "Deep"
|
| 287 |
-
atmosphere = "Heavy gravity. Dust motes hang suspended."
|
| 288 |
-
smell = "Wet wool and ancient dust."
|
| 289 |
-
else:
|
| 290 |
-
suffix = "Prime"
|
| 291 |
-
atmosphere = "Stable reality matrix. Standard definition."
|
| 292 |
-
smell = "Clean air."
|
| 293 |
-
final_name = f"{name} {suffix}".upper()
|
| 294 |
-
return GeniusLoci(
|
| 295 |
-
id=node_id, name=final_name, atmosphere=atmosphere, smell=smell
|
| 296 |
-
)
|
| 297 |
-
|
| 298 |
-
def _prune_graph(self):
|
| 299 |
-
candidates = [
|
| 300 |
-
k
|
| 301 |
-
for k in self.world_graph.keys()
|
| 302 |
-
if k != "GENESIS_POINT" and k != self.current_node_id
|
| 303 |
-
]
|
| 304 |
-
if not candidates:
|
| 305 |
-
return
|
| 306 |
-
victim = min(candidates, key=lambda k: self.world_graph[k].visited_count)
|
| 307 |
-
del self.world_graph[victim]
|
| 308 |
-
|
| 309 |
-
def export_atlas(self) -> Dict[str, Any]:
|
| 310 |
-
return {
|
| 311 |
-
"nodes": {k: v.to_dict() for k, v in self.world_graph.items()},
|
| 312 |
-
"current_id": self.current_node_id,
|
| 313 |
-
}
|
| 314 |
-
|
| 315 |
-
def import_atlas(self, atlas_data: Dict[str, Any]):
|
| 316 |
-
if not atlas_data:
|
| 317 |
-
return
|
| 318 |
-
self.world_graph = {}
|
| 319 |
-
raw_nodes = atlas_data.get("nodes", {})
|
| 320 |
-
for nid, n_data in raw_nodes.items():
|
| 321 |
-
try:
|
| 322 |
-
self.world_graph[nid] = GeniusLoci.from_dict(n_data)
|
| 323 |
-
except Exception:
|
| 324 |
-
pass
|
| 325 |
-
self.current_node_id = atlas_data.get("current_id", "GENESIS_POINT")
|
| 326 |
-
if "GENESIS_POINT" not in self.world_graph:
|
| 327 |
-
self._init_genesis()
|
| 328 |
-
|
| 329 |
-
def to_dict(self):
|
| 330 |
-
return self.export_atlas()
|
| 331 |
-
|
| 332 |
-
def load_state(self, data):
|
| 333 |
-
self.import_atlas(data)
|
| 334 |
-
|
| 335 |
-
|
| 336 |
-
class TownHall:
|
| 337 |
-
def __init__(self, gordon_ref, events_ref, shimmer_ref, akashic_ref, navigator_ref):
|
| 338 |
-
self.gordon = gordon_ref
|
| 339 |
-
self.events = events_ref
|
| 340 |
-
self.shimmer = shimmer_ref
|
| 341 |
-
self.akashic = akashic_ref
|
| 342 |
-
self.navigator = navigator_ref
|
| 343 |
-
self.seeds: List[ParadoxSeed] = []
|
| 344 |
-
narrative = LoreManifest.get_instance().get("narrative_data") or {}
|
| 345 |
-
self.rumors = narrative.get("RUMORS", [])
|
| 346 |
-
seed_data = narrative.get("SEEDS", [])
|
| 347 |
-
for s in seed_data:
|
| 348 |
-
if "question" in s and "triggers" in s:
|
| 349 |
-
self.sow_seed(s["question"], set(s["triggers"]))
|
| 350 |
-
|
| 351 |
-
def sow_seed(self, question: str, triggers: Set[str]):
|
| 352 |
-
self.seeds.append(ParadoxSeed(question, triggers))
|
| 353 |
-
|
| 354 |
-
@staticmethod
|
| 355 |
-
def consult_almanac(physics: PhysicsPacket) -> str:
|
| 356 |
-
almanac = LoreManifest.get_instance().get("ALMANAC") or {}
|
| 357 |
-
forecasts = almanac.get("FORECASTS", {})
|
| 358 |
-
strategies = almanac.get("STRATEGIES", {})
|
| 359 |
-
state_key = "BALANCED"
|
| 360 |
-
if physics.voltage > 15.0:
|
| 361 |
-
state_key = "HIGH_VOLTAGE"
|
| 362 |
-
elif physics.narrative_drag > 4.0:
|
| 363 |
-
state_key = "HIGH_DRAG"
|
| 364 |
-
elif hasattr(physics, "entropy") and physics.entropy > 0.8:
|
| 365 |
-
state_key = "HIGH_ENTROPY"
|
| 366 |
-
options = forecasts.get(state_key, ["Weather unclear."])
|
| 367 |
-
flavor_text = random.choice(options)
|
| 368 |
-
strategy = strategies.get(state_key, "Keep breathing.")
|
| 369 |
-
return f"☁️ FORECAST [{state_key}]: {flavor_text} (Strategy: {strategy})"
|
| 370 |
-
|
| 371 |
-
def tend_garden(self, clean_words: List[str]) -> List[str]:
|
| 372 |
-
blooms = []
|
| 373 |
-
if not self.seeds or not clean_words:
|
| 374 |
-
return blooms
|
| 375 |
-
lower_words = [w.lower() for w in clean_words]
|
| 376 |
-
for seed in self.seeds:
|
| 377 |
-
if seed.bloomed:
|
| 378 |
-
continue
|
| 379 |
-
if seed.water(lower_words):
|
| 380 |
-
bloom_msg = seed.bloom()
|
| 381 |
-
self.events.log(
|
| 382 |
-
f"{Prisma.MAG}🌷 PARADOX BLOOM:{Prisma.RST} {bloom_msg}",
|
| 383 |
-
"VILLAGE_EVENT",
|
| 384 |
-
)
|
| 385 |
-
blooms.append(f"{Prisma.MAG}🌷 PARADOX BLOOM:{Prisma.RST} {bloom_msg}")
|
| 386 |
-
return blooms
|
| 387 |
-
|
| 388 |
-
def conduct_census(self, packet: PhysicsPacket, host_stats: Any) -> str:
|
| 389 |
-
latency = getattr(host_stats, "latency", 0.0) if host_stats else 0.0
|
| 390 |
-
almanac = LoreManifest.get_instance().get("ALMANAC") or {}
|
| 391 |
-
forecasts = almanac.get("FORECASTS", {})
|
| 392 |
-
|
| 393 |
-
loc_name = "UNKNOWN"
|
| 394 |
-
if self.navigator:
|
| 395 |
-
current_node = self.navigator.world_graph.get(
|
| 396 |
-
self.navigator.current_node_id
|
| 397 |
-
)
|
| 398 |
-
if current_node:
|
| 399 |
-
loc_name = current_node.name
|
| 400 |
-
if latency > 3.0:
|
| 401 |
-
status = "HIGH_LATENCY"
|
| 402 |
-
advice = "System lag detected."
|
| 403 |
-
elif packet.voltage > BoneConfig.PHYSICS.VOLTAGE_HIGH:
|
| 404 |
-
status = "HIGH_VOLTAGE"
|
| 405 |
-
advice = random.choice(forecasts.get("HIGH_VOLTAGE", ["Manic energy."]))
|
| 406 |
-
elif packet.narrative_drag > BoneConfig.PHYSICS.DRAG_HEAVY:
|
| 407 |
-
status = "HIGH_DRAG"
|
| 408 |
-
advice = random.choice(forecasts.get("HIGH_DRAG", ["Narrative stuck."]))
|
| 409 |
-
else:
|
| 410 |
-
status = "BALANCED"
|
| 411 |
-
advice = random.choice(forecasts.get("BALANCED", ["Nominal."]))
|
| 412 |
-
report = f"CENSUS [{loc_name}]: {status} | {advice}"
|
| 413 |
-
news = self._get_town_news(latency, packet.voltage)
|
| 414 |
-
if news:
|
| 415 |
-
report += f"\n{news}"
|
| 416 |
-
if packet.voltage > 20.0:
|
| 417 |
-
report += f"\n{Prisma.RED}⚖️ COUNCIL ALERT: The Chairholder is drafting a restraining order.{Prisma.RST}"
|
| 418 |
-
elif packet.voltage < 2.0 and packet.narrative_drag > 5.0:
|
| 419 |
-
report += f"\n{Prisma.MAG}⚖️ COUNCIL ALERT: Strange Loops detected in the lower districts.{Prisma.RST}"
|
| 420 |
-
elif status == "BALANCED" and self.rumors and random.random() < 0.3:
|
| 421 |
-
rumor = random.choice(self.rumors)
|
| 422 |
-
report += f"\n{Prisma.GRY}👀 RUMOR: {rumor}{Prisma.RST}"
|
| 423 |
-
return report
|
| 424 |
-
|
| 425 |
-
@staticmethod
|
| 426 |
-
def _get_town_news(latency: float, volt: float) -> Optional[str]:
|
| 427 |
-
if latency > 4.0:
|
| 428 |
-
return f"{Prisma.OCHRE}📢 TOWN CRIER: The time-winds are slow!{Prisma.RST}"
|
| 429 |
-
if volt > BoneConfig.PHYSICS.VOLTAGE_CRITICAL:
|
| 430 |
-
return f"{Prisma.YEL}📢 HEAR YE: Voltage Critical!{Prisma.RST}"
|
| 431 |
-
return None
|
| 432 |
-
|
| 433 |
-
def on_item_drop(self, payload):
|
| 434 |
-
item = payload.get("item")
|
| 435 |
-
if item:
|
| 436 |
-
self.events.log(f"Town Hall noticed you dropped {item}.", "VILLAGE")
|
| 437 |
-
|
| 438 |
-
@staticmethod
|
| 439 |
-
def diagnose_condition(
|
| 440 |
-
session_data: dict, _host_health: Any = None, soul: Any = None
|
| 441 |
-
) -> Tuple[str, str]:
|
| 442 |
-
meta = session_data.get("meta", {})
|
| 443 |
-
trauma = session_data.get("trauma_vector", {})
|
| 444 |
-
final_health = meta.get("final_health", 50)
|
| 445 |
-
if soul:
|
| 446 |
-
neglect = getattr(soul, "obsession_neglect", 0.0)
|
| 447 |
-
if neglect > 8.0:
|
| 448 |
-
obsession = getattr(soul, "current_obsession", "work")
|
| 449 |
-
return "HIGH_DRAG", f"Guilt over '{obsession}' is thickening the air."
|
| 450 |
-
if trauma:
|
| 451 |
-
max_trauma = max(trauma, key=trauma.get) if trauma else "NONE"
|
| 452 |
-
if trauma.get(max_trauma, 0) > 0.6:
|
| 453 |
-
return (
|
| 454 |
-
"HIGH_TRAUMA",
|
| 455 |
-
f"Warning: High levels of {max_trauma} residue detected.",
|
| 456 |
-
)
|
| 457 |
-
if final_health < 30:
|
| 458 |
-
return "HIGH_TRAUMA", "System critical. Structural damage."
|
| 459 |
-
return "BALANCED", "System nominal."
|
| 460 |
-
|
| 461 |
-
|
| 462 |
-
class DeathGen:
|
| 463 |
-
_FALLBACK_PROTOCOLS = {
|
| 464 |
-
"PREFIXES": ["FATAL ERROR", "SYSTEM HALT", "THE END"],
|
| 465 |
-
"CAUSES": {"DEFAULT": ["Unknown Error", "Entropy limit reached"]},
|
| 466 |
-
"VERDICTS": {"DEFAULT": ["End of Line.", "Reboot required."]},
|
| 467 |
-
}
|
| 468 |
-
|
| 469 |
-
@classmethod
|
| 470 |
-
def load_protocols(cls):
|
| 471 |
-
if LoreManifest.get_instance().get("DEATH") is None:
|
| 472 |
-
LoreManifest.get_instance().inject("DEATH", cls._FALLBACK_PROTOCOLS)
|
| 473 |
-
|
| 474 |
-
@staticmethod
|
| 475 |
-
def eulogy(
|
| 476 |
-
packet: PhysicsPacket, mito_state: Any, trauma_vector: Dict = None
|
| 477 |
-
) -> Tuple[str, str]:
|
| 478 |
-
death_data = LoreManifest.get_instance().get("DEATH")
|
| 479 |
-
if not death_data:
|
| 480 |
-
death_data = DeathGen._FALLBACK_PROTOCOLS
|
| 481 |
-
cause = DeathGen._determine_cause(packet, mito_state, trauma_vector)
|
| 482 |
-
verdict_type = DeathGen._determine_verdict_type(packet, cause)
|
| 483 |
-
prefix = random.choice(death_data.get("PREFIXES", ["Alas."]))
|
| 484 |
-
cause_list = death_data["CAUSES"].get(
|
| 485 |
-
cause, death_data["CAUSES"].get("DEFAULT", ["Error"])
|
| 486 |
-
)
|
| 487 |
-
verdict_list = death_data["VERDICTS"].get(
|
| 488 |
-
verdict_type, death_data["VERDICTS"].get("HEAVY", ["Done."])
|
| 489 |
-
)
|
| 490 |
-
return (
|
| 491 |
-
f"{prefix} CAUSE: {random.choice(cause_list)}. {random.choice(verdict_list)}",
|
| 492 |
-
cause,
|
| 493 |
-
)
|
| 494 |
-
|
| 495 |
-
@staticmethod
|
| 496 |
-
def _determine_cause(
|
| 497 |
-
p: PhysicsPacket, mito_state: Any, trauma_vector: Dict = None
|
| 498 |
-
) -> str:
|
| 499 |
-
if trauma_vector and sum(trauma_vector.values()) > 50.0:
|
| 500 |
-
return "TRAUMA"
|
| 501 |
-
atp = float(
|
| 502 |
-
mito_state.get("atp", 0)
|
| 503 |
-
if isinstance(mito_state, dict)
|
| 504 |
-
else getattr(mito_state, "atp_pool", 0)
|
| 505 |
-
)
|
| 506 |
-
if atp <= BoneConfig.BIO.ATP_STARVATION:
|
| 507 |
-
return "STARVATION"
|
| 508 |
-
if p.voltage > BoneConfig.PHYSICS.VOLTAGE_CRITICAL:
|
| 509 |
-
return "GLUTTONY"
|
| 510 |
-
if p.narrative_drag > BoneConfig.PHYSICS.DRAG_HALT:
|
| 511 |
-
return "BOREDOM"
|
| 512 |
-
counts = p.counts or {}
|
| 513 |
-
if counts.get("antigen", 0) > 5:
|
| 514 |
-
return "TOXICITY"
|
| 515 |
-
return "STARVATION"
|
| 516 |
-
|
| 517 |
-
@staticmethod
|
| 518 |
-
def _determine_verdict_type(p: PhysicsPacket, cause: str) -> str:
|
| 519 |
-
if cause == "TOXICITY":
|
| 520 |
-
return "TOXIC"
|
| 521 |
-
if cause == "BOREDOM":
|
| 522 |
-
return "BORING"
|
| 523 |
-
if p.voltage > BoneConfig.PHYSICS.VOLTAGE_MED:
|
| 524 |
-
return "LIGHT"
|
| 525 |
-
return "HEAVY"
|
|
|
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