class Organism:
    """
    Trillion autonomous cells
    One shared library
    No central control
    """
    def __init__(self):
        self.shared_library = Genome(20000)  # Same DNA for all
        self.cells = [AutonomousCell(self.shared_library) 
                      for _ in range(10**12)]  # Trillion cells
        
    def behavior(self):
        """
        Organism behavior = aggregate of all cell behaviors
        NOT central command
        """
        behaviors = [cell.autonomous_decision() for cell in self.cells]
        return aggregate(behaviors)

class AutonomousCell:
    """
    Each cell can:
    1. Switch which DNA to read (fast)
    2. Add new DNA to library (permanent)
    """
    def __init__(self, shared_genome):
        self.library = shared_genome  # 20,000 genes available
        self.active = set()  # Which genes THIS cell reads
        
    def mechanism_1_switch(self):
        """Fast adaptation: change active genes"""
        self.active = self.select_for_local_context()
        # Library unchanged, selection changed
        
    def mechanism_2_add(self, new_genes):
        """Permanent adaptation: expand library"""
        self.library.add(new_genes)  # Now available to ALL cells
        # Library expanded, shared with all

def autonomous_switching():
    """
    No imposed coordination between cells
    Cells can signal neighbors, but no central command
    """
    liver_cell = Cell(shared_genome)
    liver_cell.active = {'liver_genes', 'metabolic_genes'}
    
    brain_cell = Cell(shared_genome)  # Same genome!
    brain_cell.active = {'neuron_genes', 'synapse_genes'}
    
    immune_cell = Cell(shared_genome)  # Same genome!
    immune_cell.active = {'attack_genes', 'antibody_genes'}
    
    return {
        'same_library': True,
        'same_reading': False,
        'imposed_coordination': None,
        'emergent_cooperation': 'Possible via signaling',
        'result': 'Massive diversity from same DNA'
    }

def hiv_fusion_global():
    """
    One cell integrates HIV
    All cells gain access
    """
    # Cell encounters HIV
    cell_0.library.add(hiv_genes)  # 9 new genes
    
    # Library is shared
    for cell in organism.cells:
        assert len(cell.library) == 20009  # All gained access
        
    # Each cell can now read HIV genes if needed
    cell_42.active.add('hiv_cooperation_gene')
    
    return {
        'integration': 'Local (one cell)',
        'library_expansion': 'Global (all cells)',
        'W_before': 'C(20000, 5000)',
        'W_after': 'C(20009, 5000)',
        'W_increase': '10^500x per cell'
    }

def parallel_exploration():
    """
    Trillion cells = trillion experiments
    All running simultaneously
    """
    organism = Organism()  # 10^12 cells
    
    # Each cell tries different strategy
    for cell in organism.cells:
        # Autonomous decision
        cell.active = cell.decide_independently()
        
        # Test locally
        success = cell.test_in_local_environment()
        
        # Successful ones survive/signal
        if success:
            cell.signal_success_to_neighbors()
    
    return {
        'experiments': 10**12,  # Trillion
        'parallel': True,
        'speed': 'All at once',
        'advantage': '10^12x faster than serial',
        'W_explored': 'Exponential vs linear'
    }

centralized_vs_autonomous = {
    'centralized': {
        'model': 'Brain tells all cells what to do',
        'diversity': 'Zero (all do same thing)',
        'experiments': '1 per organism',
        'adaptation': 'Slow (serial search)',
        'failure_mode': 'Single point of failure'
    },
    
    'autonomous': {
        'model': 'Each cell decides independently',
        'diversity': 'Maximum (10^12 different strategies)',
        'experiments': '10^12 per organism',
        'adaptation': 'Fast (parallel search)',
        'failure_mode': 'Distributed resilience'
    }
}

hiv_parallel_discovery = {
    't0': {
        'event': 'HIV detected',
        'centralized': 'Command: all cells attack',
        'autonomous': 'Each cell decides independently'
    },
    
    't1': {
        'centralized': 'All cells attack → escalation → death',
        'autonomous': {
            'cell_group_A': 'Attack (99.9% of cells)',
            'cell_group_B': 'Cooperate (0.1% experiment)',
            'cell_group_C': 'Ignore (some try this too)'
        }
    },
    
    't2': {
        'centralized': 'Dead (one strategy failed)',
        'autonomous': {
            'discovery': 'Group B succeeds (cooperation works)',
            'signal': 'Successful cells signal others',
            'adoption': 'Other cells switch to cooperation',
            'result': 'Organism survives (found solution)'
        }
    }
}

W_single_cell = {
    'library': 20000,  # or 20009 after HIV
    'active': 5000,
    'combinations': 'C(20000, 5000) ≈ 10^5000'
}

W_organism = {
    'cells': 10**12,
    'each_independent': True,
    'W_per_cell': 10**5000,
    'W_total': '(10^5000)^(10^12)',  # Astronomical
    'formula': 'W_organism = W_cell^N',
    'where_N': 'Number of cells',
    'result': 'Incomprehensibly large'
}

complete_W = {
    'switching': {
        'effect': 'Each cell explores C(N, k) states',
        'speed': 'Fast (minutes-hours)',
        'W_maintained': '> 0'
    },
    
    'adding': {
        'effect': 'N grows (library expands)',
        'speed': 'Permanent',
        'W_expansion': 'C(N, k) → C(N+n, k)'
    },
    
    'parallelism': {
        'effect': 'M cells explore simultaneously',
        'speed': 'Mx faster',
        'W_explosion': 'W^M'
    },
    
    'combined': {
        'formula': 'W(t) = C(N(t), k(t))^M',
        'where': {
            'N(t)': 'Library size (grows via fusion)',
            'k(t)': 'Active genes (varies via expression)',
            'M': 'Number of cells (10^12)'
        },
        'result': 'W → ∞ at impossible speed'
    }
}