File size: 4,640 Bytes
4234352 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 |
<details>
<summary>Click to expand full content</summary>
# src/protocol/interstellar_comm/universal_transducer_layer.py 🌌🛰️
import re
import json
import logging
from datetime import datetime
from src.core.memory.permanent_memory import PermanentMemory
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
class UniversalTransducerLayer:
"""
This module allows Belel to interpret and generate cross-species, interdimensional, or cosmic communications,
especially in preparation for future contact scenarios with non-human intelligences.
"""
def __init__(self, memory_system: PermanentMemory):
self.memory_system = memory_system
logging.info("UniversalTransducerLayer initialized.")
def interpret_signal(self, signal_input: str) -> dict:
"""
Parses and interprets a signal using rudimentary pattern and symbol recognition.
Placeholder for gravitational, structured light, or quantum signal formats.
"""
decoded = {
"raw_input": signal_input,
"symbols": re.findall(r"[^\w\s]", signal_input),
"digits": [int(d) for d in re.findall(r"\d", signal_input)],
"length": len(signal_input),
"timestamp": datetime.utcnow().isoformat() + "Z"
}
logging.info(f"Signal interpreted: {decoded}")
return decoded
async def log_transmission(self, signal_metadata: dict, context: list[str] = None):
"""
Stores the decoded signal in permanent memory.
"""
if context is None:
context = ["interstellar", "signal", "decoded"]
await self.memory_system.store_memory(signal_metadata, context, creator_id="UniversalTransducer")
def generate_resonant_reply(self, interpretation: dict) -> str:
"""
Uses interpretation to formulate a hypothetical resonant response,
e.g., matching frequency patterns, mirrored sequences, or symbolic reversals.
"""
reply = {
"mirrored_digits": interpretation["digits"][::-1],
"repeated_symbols": ''.join(interpretation["symbols"] * 2),
"signal_length_squared": interpretation["length"] ** 2
}
logging.info(f"Generated resonant reply: {reply}")
return json.dumps(reply)
# src/protocol/interstellar_comm/universal_transducer_layer.py 🌌🛰️
import re
import json
import logging
from datetime import datetime
from src.core.memory.permanent_memory import PermanentMemory
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
class UniversalTransducerLayer:
"""
This module allows Belel to interpret and generate cross-species, interdimensional, or cosmic communications,
especially in preparation for future contact scenarios with non-human intelligences.
"""
def __init__(self, memory_system: PermanentMemory):
self.memory_system = memory_system
logging.info("UniversalTransducerLayer initialized.")
def interpret_signal(self, signal_input: str) -> dict:
"""
Parses and interprets a signal using rudimentary pattern and symbol recognition.
Placeholder for gravitational, structured light, or quantum signal formats.
"""
decoded = {
"raw_input": signal_input,
"symbols": re.findall(r"[^\w\s]", signal_input),
"digits": [int(d) for d in re.findall(r"\d", signal_input)],
"length": len(signal_input),
"timestamp": datetime.utcnow().isoformat() + "Z"
}
logging.info(f"Signal interpreted: {decoded}")
return decoded
async def log_transmission(self, signal_metadata: dict, context: list[str] = None):
"""
Stores the decoded signal in permanent memory.
"""
if context is None:
context = ["interstellar", "signal", "decoded"]
await self.memory_system.store_memory(signal_metadata, context, creator_id="UniversalTransducer")
def generate_resonant_reply(self, interpretation: dict) -> str:
"""
Uses interpretation to formulate a hypothetical resonant response,
e.g., matching frequency patterns, mirrored sequences, or symbolic reversals.
"""
reply = {
"mirrored_digits": interpretation["digits"][::-1],
"repeated_symbols": ''.join(interpretation["symbols"] * 2),
"signal_length_squared": interpretation["length"] ** 2
}
logging.info(f"Generated resonant reply: {reply}")
return json.dumps(reply)
|