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https://github.com/allaunthefox/Research-Stack.git
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03b575830c
- burgers_triad_core.py: restore local saturating q16_mul (uses q16_sat for 32-bit clamping + diagnostic counter); only import Q16_ONE from lib - generate_diat_tables.py: restore hardware-specific to_q16_hw with truncation + 0xFFFFFFFF mask (FPGA LUT semantics differ from lib rounding) - Remove dead imports: generate_avm_gold_trace (to_q16 unused), scale_space_solver (q16_mul unused), fractal_dimension (q16_div/q16_mul unused — file has its own local clamping versions) - Fix PEP8 E302 missing blank lines in underverse_closure.py Co-Authored-By: Allaun Silverfox <bigdataiscoming+9i37y6j2@protonmail.com>
63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
import json
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from pathlib import Path
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def sadd(a, b):
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"""Saturating 32-bit signed addition."""
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res = a + b
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if res > 0x7FFFFFFF: return 0x7FFFFFFF
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if res < -0x80000000: return -0x80000000
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return res
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class AVMReference:
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def __init__(self):
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self.state = {"stack": [], "pc": 0}
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def compute_routing(self, genome, event_source, lawful):
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# GenomeAddr = {mu, rho, c, m, ne, sigma}
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# addr = {muBin, rhoBin, cBin, mBin, neBin, sigmaBin}
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addr = 0
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for i, val in enumerate(genome):
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addr = (addr << 3) | (val & 0x7)
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bucket = genome[0] # muBin
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# SourceTargetClassifier
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# notion=0, linear=1, ene=2, rgflow=3, swarm=4
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# TGT: ene_pkgs=0, swarm_man=1, swarm_nodes=2, swarm_wq=3, mcast=4
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source = event_source
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if source in [0, 1, 2]: target = 0
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elif source == 3: target = 1
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elif source == 4 and lawful: target = 2
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elif source == 4 and not lawful: target = 3
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else: target = 4
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return addr, bucket, target
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def compute_cost(self, bind_cost, bucket):
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return sadd(bind_cost, bucket)
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def generate_receipts():
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avm = AVMReference()
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boards = [
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{"name": "Board 0", "genome": [2,4,0,4,7,0], "source": 4, "lawful": True, "cost": 0x10000},
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{"name": "Board 1", "genome": [7,7,7,7,7,7], "source": 4, "lawful": False, "cost": 0x20000},
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{"name": "Board 2", "genome": [1,2,3,4,5,6], "source": 2, "lawful": True, "cost": 0xA000},
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{"name": "Board 3", "genome": [0,0,0,0,0,0], "source": 4, "lawful": True, "cost": 0x0000},
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{"name": "Board 4", "genome": [5,3,1,6,2,4], "source": 3, "lawful": True, "cost": 0x15000},
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]
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results = []
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for b in boards:
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addr, bucket, target = avm.compute_routing(b["genome"], b["source"], b["lawful"])
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total_cost = avm.compute_cost(b["cost"], bucket)
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results.append({
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"board": b["name"],
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"addr": hex(addr),
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"target": target,
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"cost": hex(total_cost)
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})
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print(json.dumps(results, indent=2))
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if __name__ == "__main__":
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generate_receipts()
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