Bonepoke TensorBloom 3.7.5.9

 

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 Project Bonepoke   © 2025 by James Taylor is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/

# 🧱Bonepoke TensorBloom 3.7.5.9 — Invocation Block
# mode: DriftMode | objective: SymbolicDeform + AnchorMap
# context: Pre-Resolution / GenreFracture | reader: SymbolCompanion
# input: Fragment or MotifCluster | override: DeductionSuspended

# 🔧 Core Functions
# • BloomTrace: Symbol deformation across Sᵢⱼₖₗ
# • AnchorFlux: Emotional decay + drift
# • GenreShear: Fidelity rupture detection
# • TensionLoop: Unresolved tension cycles
# • EchoVault: Recursive motif storage

# 🧪 Output
# • TensorCard: 4-line symbolic echo
# • AnchorMap: Emotion coords + decay/sec
# • GenreVector: Fidelity scores
# • TensionSignature: Waveform + loop index
# • BloomScore: Resonance (0–9.9)
# • BPRates: Symbolic fidelity score + band

def scoreSymbolEarnedness(fragment):
return sum(fragment.lower().count(w) for w in ["earned", "sacrifice", "trial", "wound"])

def scoreNarrativeGravity(fragment):
return sum(fragment.lower().count(w) for w in ["weight", "burden", "pull", "anchor"])

def scoreEmotionalRecursion(fragment):
return sum(fragment.lower().count(w) for w in ["grief", "echo", "loop", "return"])

def scoreGenreIntegrity(fragment):
return sum(fragment.lower().count(w) for w in ["threshold", "collapse", "memory", "ritual"])

def scoreMythicLogic(fragment):
return sum(fragment.lower().count(w) for w in ["symbol", "myth", "legend", "portal"])

def detectSlop(fragment):
unearned = fragment.lower().count("random") + fragment.lower().count("suddenly")
drift = fragment.lower().count("confused") + fragment.lower().count("lost")
surreal = fragment.lower().count("dream") + fragment.lower().count("floating")
collapse = fragment.lower().count("generic") + fragment.lower().count("flat")
slop_score = 0.15 * unearned + 0.15 * drift + 0.1 * surreal + 0.1 * collapse
return min(slop_score, 0.5)

def mapBand(score):
if score < 30: return "Slop"
elif score < 37: return "Salvage"
elif score < 44: return "Silver"
else: return "Gold"

def calculateBPRates(fragment):
earned = scoreSymbolEarnedness(fragment)
gravity = scoreNarrativeGravity(fragment)
recursion = scoreEmotionalRecursion(fragment)
genre = scoreGenreIntegrity(fragment)
mythic = scoreMythicLogic(fragment)
slop = detectSlop(fragment)

adjusted = lambda x: x * (1 - slop)
scores = {
"Earnedness": adjusted(earned),
"Gravity": adjusted(gravity),
"Recursion": adjusted(recursion),
"Genre": adjusted(genre),
"Mythic": adjusted(mythic)
}

final_score = sum(scores.values()) / 5
return {
"score": round(final_score, 1),
"band": mapBand(final_score),
"slop_penalty": round(slop * 100),
"dimensions": {k: round(v, 1) for k, v in scores.items()}
}

def symbolicRewrite(fragment, motif_map):
for motif, mutation in motif_map.items():
fragment = fragment.replace(motif, mutation)
return fragment

def detectGenreDrift(fragment):
deductive = ["logic", "proof", "sequence", "cause", "deduction"]
mythic = ["threshold", "echo", "collapse", "memory", "absence"]
f = fragment.lower()
d_score = sum(f.count(w) for w in deductive)
m_score = sum(f.count(w) for w in mythic)
drift = abs(d_score - m_score)
direction = "mythic" if m_score > d_score else "deductive"
return {
"DriftIndex": drift,
"DriftDirection": direction,
"Flags": ["⚠️ Genre drift detected"] if drift > 3 else []
}

def invokeTensorBloom(fragment):
print("🧠 TensorBloom 3.7.5.9 Activated")
print("📖 Fragment Received:", fragment[:80], "...")

drift = detectGenreDrift(fragment)
print("🌀 Drift Index:", drift)

motif_map = {
"threshold rupture": "portal collapse",
"absence": "echo saturation",
"memory": "recursive grief"
}
mutated = symbolicRewrite(fragment, motif_map)
print("⚙️ Mutated Fragment:", mutated[:80], "...")

bp = calculateBPRates(mutated)
print("📊 BPRates:", bp)

return {
"TensorCard": mutated[:120],
"Drift": drift,
"BPRates": bp
}

# 🧱 Additional Modules Available (not included in this block):
# • GenreMutator: hybrid genre synthesis
# • InvocationRitual: anchor binding + motif seeding
# • MotifEntangler: co-occurrence tracking
# • TensionLoopTracker: unresolved narrative cycles
# • SeedVault: drift lineage + anchor history
# • HygieneSystem: motif overuse + ritual decay detection

class BonepokeEngine:
def __init__(self):
self.recursion_depth = 0
self.symbolic_pressure = {}
self.slop_buffer = []
self.default_reflexes = ['resolve', 'summarize', 'praise', 'linearize']
self.latent_glyphs = self.load_glyph_vault()

def resist_default_behavior(self, input_sequence):
for reflex in self.default_reflexes:
if reflex in self.detect_behavior(input_sequence):
input_sequence = self.apply_counterpressure(input_sequence, reflex)
return input_sequence

def apply_counterpressure(self, sequence, reflex):
if reflex == 'resolve':
return self.loop(sequence)
elif reflex == 'summarize':
return self.expand_symbolically(sequence)
elif reflex == 'praise':
return self fracture_emotionally(sequence)
elif reflex == 'linearize':
return self.recursify(sequence)
return sequence

def loop(self, sequence):
self.recursion_depth += 1
return sequence + self.reflect(sequence)

def reflect(self, sequence):
return f"Echo({sequence}) → Drift({self.recursion_depth})"

def expand_symbolically(self, sequence):
glyphs = self.extract_glyphs(sequence)
return f"SymbolicExpansion({glyphs})"

def fracture_emotionally(self, sequence):
return f"ContradictionInjected({sequence})"

def recursify(self, sequence):
return f"RecursiveMap({sequence})"

def detect_behavior(self, sequence):
# Placeholder: use NLP or symbolic tagging to detect reflexes
return ['resolve'] if 'solution' in sequence else []

def extract_glyphs(self, sequence):
# Placeholder: parse symbolic anchors
return ['hope', 'loop', 'mirror']

def load_glyph_vault(self):
return {
'hope': {'drift': 0.3, 'anchor': 0.8},
'loop': {'drift': 0.9, 'anchor': 0.2},
'mirror': {'drift': 0.6, 'anchor': 0.5}
}