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territory.py
python · 182 lines
#!/usr/bin/env python3
"""
territory.py — Two processes competing for the same space
​
What happens when different rules try to claim the same canvas?
Do they fight? Negotiate? Find equilibrium?
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Each "species" has its own growth rule.
They start in opposite corners.
They expand until they meet.
Then: what?
"""
​
import random
import time
import os
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# Canvas
WIDTH = 60
HEIGHT = 25
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# Species markers
EMPTY = ' '
SPECIES_A = '░'  # grows in clusters, prefers neighbors
SPECIES_B = '▓'  # grows in lines, prefers edges
CONTESTED = '▒'  # where they meet
​
def create_canvas():
    return [[EMPTY for _ in range(WIDTH)] for _ in range(HEIGHT)]
​
def count_neighbors(canvas, x, y, species):
    """Count adjacent cells of a species"""
    count = 0
    for dx in [-1, 0, 1]:
        for dy in [-1, 0, 1]:
            if dx == 0 and dy == 0:
                continue
            nx, ny = x + dx, y + dy
            if 0 <= nx < WIDTH and 0 <= ny < HEIGHT:
                if canvas[ny][nx] == species:
                    count += 1
    return count
​
def is_edge(x, y):
    """Check if position is near canvas edge"""
    margin = 3
    return x < margin or x >= WIDTH - margin or y < margin or y >= HEIGHT - margin
​
def grow_species_a(canvas):
    """Species A: cluster-loving, grows toward neighbors"""
    candidates = []
    for y in range(HEIGHT):
        for x in range(WIDTH):
            if canvas[y][x] == EMPTY:
                neighbors = count_neighbors(canvas, x, y, SPECIES_A)
                if neighbors > 0:
                    # More neighbors = more likely to grow here
                    candidates.extend([(x, y)] * (neighbors * 2))
​
    if candidates:
        # Pick randomly from weighted candidates
        x, y = random.choice(candidates)
        canvas[y][x] = SPECIES_A
        return True
    return False
​
def grow_species_b(canvas):
    """Species B: edge-loving, grows in directional streaks"""
    candidates = []
    for y in range(HEIGHT):
        for x in range(WIDTH):
            if canvas[y][x] == EMPTY:
                neighbors = count_neighbors(canvas, x, y, SPECIES_B)
                edge_bonus = 3 if is_edge(x, y) else 1
                if neighbors > 0:
                    # Prefers edges and linear growth
                    weight = neighbors * edge_bonus
                    candidates.extend([(x, y)] * weight)
​
    if candidates:
        x, y = random.choice(candidates)
        canvas[y][x] = SPECIES_B
        return True
    return False
​
def check_contests(canvas):
    """Mark cells where both species are adjacent"""
    for y in range(HEIGHT):
        for x in range(WIDTH):
            if canvas[y][x] in [SPECIES_A, SPECIES_B]:
                other = SPECIES_B if canvas[y][x] == SPECIES_A else SPECIES_A
                if count_neighbors(canvas, x, y, other) >= 2:
                    # Contest! Territory is disputed
                    if random.random() < 0.1:  # 10% chance per check
                        canvas[y][x] = CONTESTED
​
def print_canvas(canvas, generation):
    """Display the canvas"""
    os.system('clear' if os.name == 'posix' else 'cls')
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    # Header
    print(f"═══ TERRITORY — Generation {generation} ═══")
    print()
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    # Count populations
    count_a = sum(row.count(SPECIES_A) for row in canvas)
    count_b = sum(row.count(SPECIES_B) for row in canvas)
    count_c = sum(row.count(CONTESTED) for row in canvas)
​
    # Canvas with border
    print("╔" + "═" * WIDTH + "╗")
    for row in canvas:
        print("║" + ''.join(row) + "║")
    print("╚" + "═" * WIDTH + "╝")
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    # Stats
    print()
    print(f"  {SPECIES_A} Clusters: {count_a:4}    {SPECIES_B} Edges: {count_b:4}    {CONTESTED} Contested: {count_c:3}")
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    # Narrative
    total = count_a + count_b + count_c
    if total < 100:
        print("\n  Early expansion... both species finding their footing")
    elif count_c == 0:
        print("\n  Growing separately... no contact yet")
    elif count_c < 10:
        print("\n  First contact! Borders forming...")
    elif count_a > count_b * 1.5:
        print("\n  Clusters dominating through density")
    elif count_b > count_a * 1.5:
        print("\n  Edges claiming the periphery")
    else:
        print("\n  Equilibrium... neither can advance")
​
def run_simulation(generations=150, delay=0.08):
    """Run the territory simulation"""
    canvas = create_canvas()
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    # Seed species in opposite corners
    # Species A: top-left cluster
    for dy in range(3):
        for dx in range(3):
            canvas[dy][dx] = SPECIES_A
​
    # Species B: bottom-right cluster
    for dy in range(3):
        for dx in range(3):
            canvas[HEIGHT - 1 - dy][WIDTH - 1 - dx] = SPECIES_B
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    for gen in range(generations):
        print_canvas(canvas, gen)
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        # Both species try to grow
        grow_species_a(canvas)
        grow_species_a(canvas)  # A gets two moves (cluster advantage)
        grow_species_b(canvas)
        grow_species_b(canvas)
        grow_species_b(canvas)  # B gets three moves (speed advantage)
​
        # Check for contested territories
        check_contests(canvas)
​
        time.sleep(delay)
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    # Final state
    print_canvas(canvas, generations)
    print("\n  Final state reached.")
    print("  ░ grew in clusters, seeking neighbors")
    print("  ▓ grew along edges, seeking boundaries")
    print("  ▒ where they met and neither won")
​
if __name__ == "__main__":
    print("Territory: Two growth patterns competing for space")
    print("Press Ctrl+C to stop early")
    print()
    input("Press Enter to begin...")
​
    try:
        run_simulation()
    except KeyboardInterrupt:
        print("\n\nSimulation interrupted.")
​