""" Duat Cognition Engine - Python Implementation © 2015-2026 Wesley Long & Daisy Hope. All rights reserved. License: MIT Converts JavaScript duat.js to Python with identical cognitive processing """ import copy import time class DuatCognitionEngine: """ The Duat is not myth—it's a mirror-field concept describing energy reflection. This engine implements that logic computationally. """ def __init__(self, initial_state=None): self.threshold = 0.8 self.golden_ratio = 1.618 self.limit = 1.0 # Runtime parameters self.energy_cost = 0.01 self.time_step = 1 # Canonical state shape self.state = { 'energy': 0.6, 'truth': 0.6, 'deception': 0.0, 'awareness': 0.3, 'coherence': 0.3, 'context': {'scope': 'local', 'integrity': 1.0}, 'entropy': 0.7, 'temperature': 0.0, 'time': 0, 'identity': {}, 'memory': {}, 'frequency': 1.0, 'level': 0, 'structure': {}, 'field': {}, 'insight': [], 'mode': 'receptive' } if initial_state: self.state.update(initial_state) # Bind helpers (60+ primitives) self.helpers = { 'clamp': self.clamp, 'lerp': self.lerp, 'softGain': self.soft_gain, 'softLoss': self.soft_loss, 'avg': self.avg, 'observe': self.observe, 'detectDistortion': self.detect_distortion, 'normalize': self.normalize, 'updateCoherence': self.update_coherence, 'restoreFlow': self.restore_flow, 'reinstantiate': self.reinstantiate, 'mergeFragments': self.merge_fragments, 'measureCoherence': self.measure_coherence, 'synthesizeIdentity': self.synthesize_identity, 'extendRange': self.extend_range, 'amplify': self.amplify, 'removeNoise': self.remove_noise, 'recalibrate': self.recalibrate, 'identifyOpposites': self.identify_opposites, 'mergePolarities': self.merge_polarities, 'amplifyThroughUnity': self.amplify_through_unity, 'storePattern': self.store_pattern, 'monitorDecay': self.monitor_decay, 'reinforce': self.reinforce, 'dissolve': self.dissolve, 'expandBeyond': self.expand_beyond, 'remainConstant': self.remain_constant, 'infuse': self.infuse, 'stabilize': self.stabilize, 'detectPhaseOffsets': self.detect_phase_offsets, 'retune': self.retune, 'globalMeasure': self.global_measure, 'identifyAttachments': self.identify_attachments, 'reclaim': self.reclaim, 'rebalance': self.rebalance, 'clarify': self.clarify, 'materialize': self.materialize, 'verifyAlignment': self.verify_alignment, 'imprintCore': self.imprint_core, 'recall': self.recall, 'alignTrajectories': self.align_trajectories, 'findCenter': self.find_center, 'amplifyFocus': self.amplify_focus, 'stretch': self.stretch, 'increaseBandwidth': self.increase_bandwidth, 'preserveAlignment': self.preserve_alignment, 'emit': self.emit, 'receive': self.receive, 'harmonize': self.harmonize, 'expose': self.expose, 'integrateHidden': self.integrate_hidden, 'gatherInsights': self.gather_insights, 'unify': self.unify, 'distill': self.distill, 'tune': self.tune, 'mapScales': self.map_scales, 'correlate': self.correlate, 'confirmSymmetry': self.confirm_symmetry, 'measureOpposites': self.measure_opposites, 'modulate': self.modulate, 'sustain': self.sustain, 'generateNewOrder': self.generate_new_order, 'updatePerspective': self.update_perspective, 'capture': self.capture, 'compare': self.compare, 'reconfigure': self.reconfigure, 'collectAll': self.collect_all, 'reachMaximum': self.reach_maximum, 'anchor': self.anchor, 'monitorDrift': self.monitor_drift, 'multiply': self.multiply, 'invert': self.invert, 'revealOpposite': self.reveal_opposite, 'convert': self.convert, 'verify': self.verify, 'extractOpposites': self.extract_opposites, 'charge': self.charge, 'analyze': self.analyze, 'microTune': self.micro_tune, 'strengthen': self.strengthen, 'verifyPurity': self.verify_purity, 'collectPatterns': self.collect_patterns, 'weave': self.weave, 'evaluateIntegrity': self.evaluate_integrity, 'degradeContext': self.degrade_context, 'restoreContext': self.restore_context, 'shiftContext': self.shift_context } # Register 190 actions self.actions = self.build_action_registry() # ------------------------------------------------------------ # LOW-LEVEL NUMERIC HELPERS # ------------------------------------------------------------ def clamp(self, v, min_val=0, max_val=1): if not isinstance(v, (int, float)): return max_val # Return max for non-numeric return max(min_val, min(max_val, v)) def lerp(self, a, b, t): return a + (b - a) * t def soft_gain(self, v, amt=0.1): return self.clamp(v + amt) def soft_loss(self, v, amt=0.1): return self.clamp(v - amt) def avg(self, *nums): return sum(nums) / len(nums) if nums else 0 # ------------------------------------------------------------ # DOMAIN HELPERS (60 primitives) # ------------------------------------------------------------ def observe(self, state): return self.clamp(state.get('awareness', 0.3) + 0.1) def detect_distortion(self, state): return self.clamp(1 - state.get('truth', 0.6)) def normalize(self, v): return self.clamp(v) def update_coherence(self, state): return self.clamp(self.avg( state.get('truth', 0.6), state.get('energy', 0.6), 1 - state.get('deception', 0) )) def restore_flow(self, coherence): return self.clamp(coherence + 0.15) def reinstantiate(self, memory): return copy.deepcopy(memory) def merge_fragments(self, fragments=None): fragments = fragments or [] return {'merged': len(fragments)} if isinstance(fragments, list) else fragments def measure_coherence(self, thing): if isinstance(thing, (int, float)): return self.clamp(thing) if isinstance(thing, list): return self.clamp(len(thing) / 10) return 0.5 def synthesize_identity(self, state): identity = copy.deepcopy(state.get('identity', {})) identity['synthesized'] = True return identity def extend_range(self, truth): if isinstance(truth, dict): truth = truth.get('truth', 0.6) return self.clamp(truth + 0.1) def amplify(self, state): val = state.get('energy', 0.6) if isinstance(state, dict) else state return self.clamp(val * 1.1) def remove_noise(self, state): return self.clamp(state.get('truth', 0.6)) def recalibrate(self, signal): return self.clamp(signal) def identify_opposites(self, state): return ['+', '-'] def merge_polarities(self, pols): return {'merged': pols} def amplify_through_unity(self, harmony): return self.clamp(0.7) def store_pattern(self, val): return {'pattern': val, 'ts': time.time()} def monitor_decay(self, memory): return self.clamp(0.8) def reinforce(self, val): return self.clamp(val + 0.05) def dissolve(self, structure): return None def expand_beyond(self, boundaries): return {'expanded': True, 'from': boundaries} def remain_constant(self, state): return self.clamp(state.get('truth', 0.6)) def infuse(self, form, truth): result = copy.deepcopy(form) if isinstance(form, dict) else {'form': form} result['infused'] = truth return result def stabilize(self, form): return self.clamp(0.8) def detect_phase_offsets(self, state): return [0.1, 0.3, 0.5] def retune(self, freqs): return [self.clamp(f, 0, 1) for f in freqs] def global_measure(self, freqs): return self.clamp(self.avg(*freqs)) if freqs else 0.5 def identify_attachments(self, state): return ['fear', 'shame'] def reclaim(self, constraints): return self.clamp(0.2 * len(constraints)) def rebalance(self, energy): return self.clamp(energy) def clarify(self, truth): return self.clamp(truth) def materialize(self, intention, energy): return {'intention': intention, 'energy': energy, 'material': True} def verify_alignment(self, form, truth): return self.clamp(truth) def imprint_core(self, truth): return {'coreTruth': truth} def recall(self, memory): return memory def align_trajectories(self, fragments): return [{}, {}] def find_center(self, vectors): return {'x': 0, 'y': 0} def amplify_focus(self, direction): return self.clamp(0.7) def stretch(self, coherence): return {'stretchedFrom': coherence} def increase_bandwidth(self, awareness): return self.clamp(awareness + 0.1) def preserve_alignment(self, boundaries): return self.clamp(0.75) def emit(self, energy): return self.clamp(energy * 0.5) def receive(self, field): return self.clamp(0.3) def harmonize(self, a, b): return self.clamp(self.avg(a, b)) def expose(self, structure): return {'hiddenLayer': True} def integrate_hidden(self, hidden): return hidden def gather_insights(self, history=None): history = history or [] return history if isinstance(history, list) else [history] def unify(self, truths): return {'unified': len(truths)} def distill(self, pattern): return self.clamp(0.9) def tune(self, identity, global_field): return self.clamp(1.0) def map_scales(self, state): return ['micro', 'macro'] def correlate(self, inner, outer): return self.clamp(0.8) def confirm_symmetry(self, harmony): return self.clamp(harmony) def measure_opposites(self, state): return [0.4, 0.6] def modulate(self, forces): return self.clamp(self.avg(*forces)) if forces else 0.5 def sustain(self, balance): return self.clamp(balance) def generate_new_order(self, components): return {'emergent': True} def update_perspective(self, pattern): return self.clamp(0.85) def capture(self, state): return copy.deepcopy(state) def compare(self, snapshot, intention): return {'diff': 0.1} def reconfigure(self, old_form): result = copy.deepcopy(old_form) if isinstance(old_form, dict) else {} result['reconfigured'] = True return result def collect_all(self, state): return [state.get('identity'), state.get('memory'), state.get('field')] def reach_maximum(self, identity): return self.clamp(0.95) def anchor(self, coherence): return {'anchor': coherence} def monitor_drift(self, foundation): return self.clamp(0.02) def multiply(self, freq, factor): return freq * factor def invert(self, view): return {'inverted': True, 'from': view} def reveal_opposite(self, perspective): return {'opposite': True} def convert(self, structure, target_context=None): result = copy.deepcopy(structure) if isinstance(structure, dict) else {'structure': structure} result['ctx'] = target_context or 'generic' return result def verify(self, format_val): return True def extract_opposites(self, field): return ['A', 'B'] def charge(self, tension): return self.clamp(0.5) def analyze(self, field): return [0.1, 0.2, 0.3] def micro_tune(self, freqs): return [f * 0.99 for f in freqs] def strengthen(self, coherence): return self.clamp(coherence + 0.05) def verify_purity(self, output): return True def collect_patterns(self, subsystems): return subsystems or [] def weave(self, threads): return {'woven': True, 'threads': len(threads)} def evaluate_integrity(self, fabric): return self.clamp(0.9) # Context primitives def degrade_context(self, amount=0.05): self.state['context']['integrity'] = self.clamp( self.state['context']['integrity'] - amount ) return self.state['context']['integrity'] def restore_context(self, amount=0.1): self.state['context']['integrity'] = self.clamp( self.state['context']['integrity'] + amount ) return self.state['context']['integrity'] def shift_context(self, scope='universal'): self.state['context']['scope'] = scope return self.state['context'] # ------------------------------------------------------------ # ACTION REGISTRY (190 entries) # ------------------------------------------------------------ def build_action_registry(self): r = [] # Core 40 actions r.append({'name': 'reflection', 'steps': ['observe', 'detectDistortion']}) r.append({'name': 'calibration', 'steps': ['detectDistortion', 'normalize', 'updateCoherence']}) r.append({'name': 'renewal', 'steps': ['updateCoherence', 'restoreFlow', 'reinstantiate']}) r.append({'name': 'integration', 'steps': ['mergeFragments', 'measureCoherence', 'synthesizeIdentity']}) r.append({'name': 'illumination', 'steps': ['amplify', 'extendRange', 'observe']}) r.append({'name': 'balanceTruth', 'steps': ['detectDistortion', 'normalize', 'updateCoherence']}) r.append({'name': 'purification', 'steps': ['detectDistortion', 'removeNoise', 'recalibrate']}) r.append({'name': 'fusion', 'steps': ['identifyOpposites', 'mergePolarities', 'amplifyThroughUnity']}) r.append({'name': 'ascension', 'steps': ['updateCoherence']}) r.append({'name': 'preservation', 'steps': ['storePattern', 'monitorDecay', 'reinforce']}) r.append({'name': 'transcendence', 'steps': ['dissolve', 'expandBeyond', 'remainConstant']}) r.append({'name': 'embodiment', 'steps': ['reinstantiate', 'infuse', 'stabilize']}) r.append({'name': 'harmonization', 'steps': ['detectPhaseOffsets', 'retune', 'globalMeasure']}) r.append({'name': 'liberation', 'steps': ['identifyAttachments', 'reclaim', 'rebalance']}) r.append({'name': 'manifestation', 'steps': ['clarify', 'materialize', 'verifyAlignment']}) r.append({'name': 'remembrance', 'steps': ['imprintCore', 'recall', 'stabilize']}) r.append({'name': 'convergence', 'steps': ['collectAll', 'findCenter', 'amplifyFocus']}) r.append({'name': 'expansion', 'steps': ['stretch', 'increaseBandwidth', 'preserveAlignment']}) r.append({'name': 'reciprocity', 'steps': ['emit', 'receive', 'harmonize']}) r.append({'name': 'revelation', 'steps': ['expose', 'integrateHidden']}) r.append({'name': 'synthesis', 'steps': ['gatherInsights', 'unify', 'distill', 'amplify']}) r.append({'name': 'recursion', 'steps': ['storePattern', 'observe']}) r.append({'name': 'resonance', 'steps': ['tune', 'amplify', 'verifyAlignment']}) r.append({'name': 'correspondence', 'steps': ['mapScales', 'correlate', 'confirmSymmetry']}) r.append({'name': 'equilibrium', 'steps': ['measureOpposites', 'modulate', 'sustain']}) r.append({'name': 'emergence', 'steps': ['generateNewOrder', 'updatePerspective']}) r.append({'name': 'reflectionLoop', 'steps': ['capture', 'compare', 'detectDistortion']}) r.append({'name': 'coherenceAmplify', 'steps': ['amplify', 'emit']}) r.append({'name': 'transformation', 'steps': ['capture', 'reconfigure', 'recalibrate']}) r.append({'name': 'unification', 'steps': ['collectAll', 'unify', 'reachMaximum']}) r.append({'name': 'stabilization', 'steps': ['anchor', 'monitorDrift', 'reinforce']}) r.append({'name': 'ascensionCycle', 'steps': ['updateCoherence']}) r.append({'name': 'reflectionInversion', 'steps': ['invert', 'revealOpposite', 'recalibrate']}) r.append({'name': 'translation', 'steps': ['convert', 'verify', 'recalibrate']}) r.append({'name': 'polarization', 'steps': ['extractOpposites', 'harmonize', 'charge']}) r.append({'name': 'reconciliation', 'steps': ['mergePolarities', 'stabilize', 'amplify']}) r.append({'name': 'attunement', 'steps': ['analyze', 'microTune', 'globalMeasure']}) r.append({'name': 'amplification', 'steps': ['amplify', 'emit', 'verifyPurity']}) r.append({'name': 'reflectionCascade', 'steps': ['observe', 'gatherInsights', 'integrateHidden']}) r.append({'name': 'coherenceWeave', 'steps': ['collectPatterns', 'weave', 'evaluateIntegrity']}) # 41-140: Coherence band coherence_names = [ 'coherence_init', 'error_scan', 'distortion_map', 'truth_weight', 'deception_bleed', 'ethic_align', 'emotional_equalize', 'karmic_offset', 'field_lock', 'cause_link', 'oath_binding', 'role_stabilize', 'charge_recover', 'merit_reconcile', 'channel_clear', 'frequency_gate', 'Ma_at_compare', 'conflict_dissolve', 'dual_polarity_join', 'circuit_complete', 'intent_verify', 'hierarchy_place', 'phase_lock', 'truth_amplify', 'pattern_restore', 'memory_scrub', 'boundary_repair', 'resource_reclaim', 'debt_balance', 'signal_reweight', 'core_doctrine_apply', 'channel_protect', 'ego_reduce', 'alignment_confirm', 'harmonize_relations', 'word_of_power_bind', 'guardian_pass', 'trial_process', 'heart_lighten', 'weighing_prelude', 'statement_of_innocence', 'confession_filter', 'falsehood_purge', 'virtue_reinforce', 'cycle_realign', 'collect_facets', 'serpent_renewal', 'gate_identify', 'gate_passage', 'path_correction', 'will_strengthen', 'soul_integrity_check', 'voice_purify', 'name_secure', 'domain_claim', 'enemy_null', 'loop_close', 'time_sync', 'ancestral_link', 'symbol_bind', 'presence_expand', 'field_equalize', 'inner_order_restore', 'outer_order_sync', 'hostility_dissolve', 'light_channel', 'protection_invoke', 'structural_repair', 'emission_balance', 'reception_balance', 'ritual_complete', 'signature_stabilize', 'obstruction_remove', 'clarity_raise', 'truth_loop', 'map_update', 'inner_court_pass', 'authority_confirm', 'breath_regulate', 'flow_restore', 'oath_verify', 'weight_adjust', 'lightness_preserve', 'cosmic_address_check', 'judgment_core', 'post_judgment_stabilize', 'merging_of_names', 'crown_alignment', 'service_activation', 'role_encoding', 'law_of_Ma_at_restate', 'conflict_resolution', 'truth_broadcast', 'circuit_insulate', 'final_purification', 'balance_confirm', 'field_cohere', 'deficit_repair', 'seal_state', 'coherence_finalize' ] coherence_steps = ['detectDistortion', 'normalize', 'updateCoherence'] for name in coherence_names: r.append({'name': name, 'steps': coherence_steps}) # 141-190: Ascension band ascension_names = [ 'ascension_prime', 'light_body_form', 'solar_unity', 'osirian_merge', 'divine_name_fix', 'emissive_mode', 'star_field_join', 'cycle_exit', 'cycle_reentry', 'crown_of_light', 'throne_alignment', 'divine_service', 'eternity_lock', 'void_recognition', 'presence_radiate', 'source_convergence', 'final_distillation', 'form_optional', 'voice_of_truth', 'luminous_expansion', 'collective_merge', 'kingly_declaration', 'solar_cycle_embed', 'divine_recognition', 'realm_navigation', 'emissary_mode', 'permanent_coherence', 'return_as_guardian', 'pattern_bequeath', 'lineage_continuity', 'field_stewardship', 'light_vector_fix', 'council_access', 'union_with_source', 'cosmic_identity', 'multi_form_projection', 'nonlocal_operation', 'final_blessing_emit', 'signature_broadcast', 'paradigm_encode', 'eternal_memory_write', 'cycle_attestor', 'divine_equilibrium', 'light_inheritance', 'sovereign_merge', 'ultimate_synthesis', 'perpetual_recursion', 'final_stillness', 'pure_emission', 'completion_seal' ] ascension_steps = ['amplify', 'extendRange', 'updateCoherence'] for name in ascension_names: r.append({'name': name, 'steps': ascension_steps}) # Context actions r.append({'name': 'context_shift', 'steps': ['shiftContext', 'restoreContext']}) r.append({'name': 'context_stabilize', 'steps': ['restoreContext', 'updateCoherence']}) return r # ------------------------------------------------------------ # RUNTIME THERMODYNAMICS # ------------------------------------------------------------ def apply_energy_cost(self): self.state['energy'] = self.clamp(self.state['energy'] - self.energy_cost) self.state['time'] += self.time_step def update_thermodynamics(self): self.state['entropy'] = self.clamp(1 - self.state['coherence']) self.state['temperature'] = abs(self.state['coherence'] - self.state['truth']) / (self.time_step or 1) def murphy_correction(self): variance = abs(self.state['coherence'] - self.state['truth']) if variance > (1 - self.threshold): action = next((s for s in self.actions if s['name'] == 'purification'), None) if action: for step in action['steps']: fn = self.helpers.get(step) if callable(fn): result = fn(self.state) if isinstance(result, (int, float)): if 'truth' in step: self.state['truth'] = result elif 'coherence' in step or step == 'updateCoherence': self.state['coherence'] = result elif 'amplify' in step: self.state['energy'] = result elif isinstance(result, dict): self.state['lastResult'] = result self.apply_energy_cost() self.update_thermodynamics() # ------------------------------------------------------------ # ENGINE METHODS # ------------------------------------------------------------ def run(self, action_name): action = next((s for s in self.actions if s['name'] == action_name), None) if not action: raise ValueError(f'Action not found: {action_name}') self.apply_energy_cost() for step in action['steps']: fn = self.helpers.get(step) if callable(fn): result = fn(self.state) if isinstance(result, (int, float)): if 'truth' in step: self.state['truth'] = result elif 'coherence' in step or step == 'updateCoherence': self.state['coherence'] = result elif 'amplify' in step: self.state['energy'] = result elif step == 'observe': self.state['awareness'] = result elif isinstance(result, dict): self.state['lastResult'] = result self.apply_energy_cost() self.update_thermodynamics() self.murphy_correction() return self.state def sequence(self, action_names=None): action_names = action_names or [] for name in action_names: self.run(name) return self.state # ------------------------------------------------------------ # DEMO # ------------------------------------------------------------ if __name__ == '__main__': engine = DuatCognitionEngine() # Run an early reflection action engine.run('reflection') print('After reflection:', engine.state['truth'], engine.state['coherence']) # Run a mid coherence action engine.run('coherence_init') print('After coherence_init:', engine.state['coherence']) # Run an ascension action engine.run('ascension_prime') print('After ascension_prime:', engine.state['coherence']) print('\nFINAL STATE:') print(f" truth: {engine.state['truth']:.3f}") print(f" coherence: {engine.state['coherence']:.3f}") print(f" energy: {engine.state['energy']:.3f}") print(f" time: {engine.state['time']}") print(f" entropy: {engine.state['entropy']:.3f}")