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    "(duality)=\n",
    "# Duality\n",
    "\n",
    "\n",
    "## 🏇🌊🐘🐆🦒 🦔\n",
    "\n",
    "The world, in its rawest essence, is a tide of unchecked chaos, a stampede of instincts, a force untethered by reason or restraint. Like wild horses plunging into the sea or a jungle teeming with creatures driven by the pulse of survival, the Dionysian layer surges forward—unapologetic, primal, ecstatic. It is a world where pleasure and destruction are intertwined, where the elephant tramples as easily as it nurtures, where the leopard and the giraffe, predator and grazer, share the same sunlit expanse. The hedgehog, curled in its vulnerability, is both protected and small, an echo of fragility within the larger roaring dance. This is not a realm of thought but of impulse, a [retreat](https://en.wikipedia.org/wiki/Sense) into instinct where meaning dissolves into the immediacy of sensation.\n",
    "\n",
    "```{raw} html\n",
    "<style>\n",
    ".float-right {\n",
    "    float: right;\n",
    "    width: 35%;\n",
    "    height: auto;\n",
    "    margin-left: 15px;\n",
    "    border: 1px solid #ccc;\n",
    "    padding: 5px;\n",
    "    text-align: left;\n",
    "    font-size: 12px;\n",
    "    background-color: #f9f9f9;\n",
    "}\n",
    "\n",
    ".float-right p {\n",
    "    text-align: left;\n",
    "    font-size: 12px;\n",
    "}\n",
    "\n",
    "</style>\n",
    "\n",
    "<div class=\"float-right\">\n",
    "    <img src=\"https://upload.wikimedia.org/wikipedia/commons/4/49/%22The_School_of_Athens%22_by_Raffaello_Sanzio_da_Urbino.jpg\" alt=\"Eco-Green QR Code\" width=\"100%\">\n",
    "    <p>Semaglutide, a glucagon-like peptide-1 receptor agonist, has been shown to reduce the risk of adverse cardiovascular events in patients with diabetes. Whether semaglutide can reduce cardiovascular risk associated with overweight and obesity in the absence of diabetes is unknown.</p>\n",
    "</div>\n",
    "```\n",
    "\n",
    "Yet even as this flood rushes forward, Athena intervenes—a filtering force, an intellect that does not suppress but sifts. She does not deny the wild Dionysian rush, but she tempers it, channels it through the lens of wisdom, strategy, and clarity. The owl, perched in stillness, watches the chaos, neither fearing nor surrendering to it. The serpent, sacred in its knowledge, does not recoil but coils, containing within itself a duality: wisdom and danger, healing and poison. Here, thought begins to form—not as an opponent to the wild but as a means of understanding its depths. The crescent moon, guardian of unseen forces, joins this filtering, ensuring that chaos does not consume but is instead refined, transmuted into something more deliberate, more structured.\n",
    "\n",
    "## 🦉 \n",
    "\n",
    "Only then does the Apollonian layer arrive, not as a reality but as an illusion carefully woven over what came before. The warrior dons his armor, the blade is raised, the shield gleams—not to strike blindly but to enforce order upon what Athena has allowed through. What was once raw, unfiltered impulse now marches in rhythm, constrained by discipline, by the necessary illusions of civilization. The battlefield and the city alike exist only because the Dionysian has been reined in, because the owl and the serpent have dictated what can remain and what must be buried. The violin hums, a melody imposed on the wild cacophony, a lullaby to the chaos beneath. The bed beckons, a place of rest or indulgence, yet always an artificial containment. Dance flourishes, yet within measured steps, a far cry from the unthinking, violent revelry that first erupted in the jungle. A meal is set before us, no longer scavenged in desperation but arranged, served, made into ritual and comfort.\n",
    "\n",
    "<blockquote style=\"border-left: 2px solid gray; padding-left: 1em; font-style: italic; background: none;\">\n",
    "    Entropy: Wisdom (Streets)<br>\n",
    "    Resources: Vigilance (Owl)<br>\n",
    "    Faustian: Noise (Molecule) vs. Signal (Epitope)<br>\n",
    "    Distributed: Self (Helmet), Negotiable (Shield), Nonself (Spear) <br>\n",
    "    Illusion: Harmony (Lyre)<br>\n",
    "    — <a href=\"https://www.nytimes.com/2025/02/27/books/review/meltdown-duncan-mavin.html\" target=\"_blank\" style=\"text-decoration: none; font-style: normal;\">Inverted Tree</a>\n",
    "</blockquote>\n",
    "\n",
    "Thus, the world as we know it is not the Dionysian stampede, nor Athena’s wise filtering, nor even the Apollonian vision of order—it is the interplay of all three, a precarious equilibrium. The chaos is still there, retreating but never gone, transformed yet never fully tamed. The illusion of civilization is a necessary one, an Apollonian dream designed to keep the roaring wilderness at bay. But beneath the marble and the music, beneath the sword and the shield, the wild tide waits. And sometimes, in a moment of dance, in the aftertaste of a meal, in the hush of sleep, we remember that it is still there.\n",
    "\n",
    "Islamic finance emerges as a disciplined rider in this untamed economic jungle, refusing to partake in the Faustian pact that Western finance has embraced. The latter—like a frenzied Dionysian revel—thrives on unfettered speculation, where debt begets debt, and illusions are stacked upon illusions. It is a system of elaborate masquerades, where value is often a conjuration rather than a reality, where derivatives multiply like fractals of nothingness, and where usury—once considered a moral failing—is now the blood that pumps through the veins of the global financial body. The leopard of high-risk capital and the giraffe of cautious investment share the same economic savanna, but one dominates through raw predatory instinct while the other merely survives. Hedgehogs, representing those who hedge their wealth against the chaotic storms of volatility, roll into their defensive balls, yet even they cannot escape the unrelenting momentum of this Faustian trade.\n",
    "\n",
    "## 🐍 ☪️ \n",
    "\n",
    "```{raw} html\n",
    "<style>\n",
    ".float-right {\n",
    "    float: right;\n",
    "    width: 35%;\n",
    "    height: auto;\n",
    "    margin-left: 15px;\n",
    "    border: 1px solid #ccc;\n",
    "    padding: 5px;\n",
    "    text-align: left;\n",
    "    font-size: 12px;\n",
    "    background-color: #f9f9f9;\n",
    "}\n",
    "\n",
    ".float-right p {\n",
    "    text-align: left;\n",
    "    font-size: 12px;\n",
    "}\n",
    "</style>\n",
    "\n",
    "<div class=\"float-right\">\n",
    "    <img src=\"https://raw.githubusercontent.com/meta-llama/llama3/refs/heads/main/Llama3_Repo.jpeg\" alt=\"Eco-Green QR Code\" width=\"100%\">\n",
    "    <p>Pattern recognition and speculation are instinctive and vestigual aspects of our complex neural, endocrine, and immune systems.</p>\n",
    "</div>\n",
    "```\n",
    "\n",
    "\n",
    "\n",
    "Against this, Islamic finance operates like the owl and the serpent—silent, watchful, bound by principles that act as both shield and sword. There is no interest, no riba, no reckless gambling on ephemeral futures; every transaction must be backed by something tangible, something real. Where Western finance thrives on uncertainty, leveraging unpredictability itself into an asset class, Islamic finance insists on justice and mutual benefit, rejecting the zero-sum carnage of winners devouring losers. It is a system built on trust, on the shared risk between lender and borrower, where the financier is not a remote predator feasting on debtors but a co-participant in the venture’s fate. Like the crescent moon that oversees the night, Islamic finance acknowledges the unseen—faith, ethics, and the metaphysical weight of moral economic choices. Its sword is not merely a weapon of conquest but a defense against the chaotic pull of unchecked greed.\n",
    "\n",
    "## 🗡️ 🛡️ 🪖 \n",
    "\n",
    "\n",
    "Yet even as this alternative model stands resilient, it cannot entirely escape the Apollonian grip of civilization’s need for structure and order. War is waged not only with weapons but with interest rates, inflation controls, and market manipulations. The West’s financial empire—clad in armor, marching in sync, wielding shields of regulation and swords of policy—seeks dominance, its order predicated on ensuring that the Dionysian wildness is profitable, never vanquished. The institutions of banking, the fortress-like central banks, the global financial order itself—all are instruments of an intricate choreography, a dance of power and restraint. But is this structure truly order, or is it merely another illusion? Does the so-called stability of the Western financial world rest upon an ever-growing tower of debts and derivatives, one tremor away from collapse? And if so, does Islamic finance offer not just an alternative, but a salvation from this elaborate, high-stakes game of controlled chaos?\n",
    "\n",
    "## 🎻🛏️💃🕺🏾🍱 \n",
    "\n",
    "The answer may lie in the balance between harmony and excess, between the Apollonian discipline of economic governance and the Dionysian thrill of high-risk, high-reward speculation. Can finance be a violin—producing music from chaos rather than succumbing to discord? Can a financial system exist that does not enslave individuals to debt, that does not turn human labor into mere numbers on a balance sheet, that does not prioritize market euphoria over tangible well-being? The West's Faustian bargain has brought technological marvels, unprecedented prosperity, and yet, an undercurrent of instability, of crises that never truly resolve but simply shift form. Islamic finance, with its refusal to mortgage the soul for short-term gain, offers a different melody—one of restraint, justice, and a faith in a world where wealth serves humanity, not the other way around. The dance continues, but the question remains: which rhythm will prevail?\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    " \n",
    "\n",
    "\n",
    "\n",
    " \n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import networkx as nx\n",
    "\n",
    "# Define the neural network layers\n",
    "def define_layers():\n",
    "    return {\n",
    "        'Tragedy (Pattern Recognition)': ['Cosmology', 'Geology', 'Biology', 'Ecology', \"Symbiotology\", 'Teleology'],\n",
    "        'History (Resources)': ['Resources'],  \n",
    "        'Epic (Negotiated Identity)': ['Faustian Bargain', 'Islamic Finance'],  \n",
    "        'Drama (Self vs. Non-Self)': ['Darabah', 'Sharakah', 'Takaful'],  \n",
    "        \"Comedy (Resolution)\": ['Cacophony', 'Outside', 'Ukhuwah', 'Inside', 'Symphony']  \n",
    "    }\n",
    "\n",
    "# Assign colors to nodes\n",
    "def assign_colors():\n",
    "    color_map = {\n",
    "        'yellow': ['Resources'],  \n",
    "        'paleturquoise': ['Teleology', 'Islamic Finance', 'Takaful', 'Symphony'],  \n",
    "        'lightgreen': [\"Symbiotology\", 'Sharakah', 'Outside', 'Inside', 'Ukhuwah'],  \n",
    "        'lightsalmon': ['Biology', 'Ecology', 'Faustian Bargain', 'Darabah', 'Cacophony'],\n",
    "    }\n",
    "    return {node: color for color, nodes in color_map.items() for node in nodes}\n",
    "\n",
    "# Define edges\n",
    "def define_edges():\n",
    "    return [\n",
    "        ('Cosmology', 'Resources'),\n",
    "        ('Geology', 'Resources'),\n",
    "        ('Biology', 'Resources'),\n",
    "        ('Ecology', 'Resources'),\n",
    "        (\"Symbiotology\", 'Resources'),\n",
    "        ('Teleology', 'Resources'),\n",
    "        ('Resources', 'Faustian Bargain'),\n",
    "        ('Resources', 'Islamic Finance'),\n",
    "        ('Faustian Bargain', 'Darabah'),\n",
    "        ('Faustian Bargain', 'Sharakah'),\n",
    "        ('Faustian Bargain', 'Takaful'),\n",
    "        ('Islamic Finance', 'Darabah'),\n",
    "        ('Islamic Finance', 'Sharakah'),\n",
    "        ('Islamic Finance', 'Takaful'),\n",
    "        ('Darabah', 'Cacophony'),\n",
    "        ('Darabah', 'Outside'),\n",
    "        ('Darabah', 'Ukhuwah'),\n",
    "        ('Darabah', 'Inside'),\n",
    "        ('Darabah', 'Symphony'),\n",
    "        ('Sharakah', 'Cacophony'),\n",
    "        ('Sharakah', 'Outside'),\n",
    "        ('Sharakah', 'Ukhuwah'),\n",
    "        ('Sharakah', 'Inside'),\n",
    "        ('Sharakah', 'Symphony'),\n",
    "        ('Takaful', 'Cacophony'),\n",
    "        ('Takaful', 'Outside'),\n",
    "        ('Takaful', 'Ukhuwah'),\n",
    "        ('Takaful', 'Inside'),\n",
    "        ('Takaful', 'Symphony')\n",
    "    ]\n",
    "\n",
    "# Define black edges (1 → 7 → 9 → 11 → [13-17])\n",
    "black_edges = [\n",
    "    (4, 7), (7, 9), (9, 11), (11, 13), (11, 14), (11, 15), (11, 16), (11, 17)\n",
    "]\n",
    "\n",
    "# Calculate node positions\n",
    "def calculate_positions(layer, x_offset):\n",
    "    y_positions = np.linspace(-len(layer) / 2, len(layer) / 2, len(layer))\n",
    "    return [(x_offset, y) for y in y_positions]\n",
    "\n",
    "# Create and visualize the neural network graph with correctly assigned black edges\n",
    "def visualize_nn():\n",
    "    layers = define_layers()\n",
    "    colors = assign_colors()\n",
    "    edges = define_edges()\n",
    "\n",
    "    G = nx.DiGraph()\n",
    "    pos = {}\n",
    "    node_colors = []\n",
    "\n",
    "    # Create mapping from original node names to numbered labels\n",
    "    mapping = {}\n",
    "    counter = 1\n",
    "    for layer in layers.values():\n",
    "        for node in layer:\n",
    "            mapping[node] = f\"{counter}. {node}\"\n",
    "            counter += 1\n",
    "\n",
    "    # Add nodes with new numbered labels and assign positions\n",
    "    for i, (layer_name, nodes) in enumerate(layers.items()):\n",
    "        positions = calculate_positions(nodes, x_offset=i * 2)\n",
    "        for node, position in zip(nodes, positions):\n",
    "            new_node = mapping[node]\n",
    "            G.add_node(new_node, layer=layer_name)\n",
    "            pos[new_node] = position\n",
    "            node_colors.append(colors.get(node, 'lightgray'))\n",
    "\n",
    "    # Add edges with updated node labels\n",
    "    edge_colors = {}\n",
    "    for source, target in edges:\n",
    "        if source in mapping and target in mapping:\n",
    "            new_source = mapping[source]\n",
    "            new_target = mapping[target]\n",
    "            G.add_edge(new_source, new_target)\n",
    "            edge_colors[(new_source, new_target)] = 'lightgrey'\n",
    "\n",
    "    # Define and add black edges manually with correct node names\n",
    "    numbered_nodes = list(mapping.values())\n",
    "    black_edge_list = [\n",
    "        (numbered_nodes[3], numbered_nodes[6]),  # 4 -> 7\n",
    "        (numbered_nodes[6], numbered_nodes[8]),  # 7 -> 9\n",
    "        (numbered_nodes[8], numbered_nodes[10]), # 9 -> 11\n",
    "        (numbered_nodes[10], numbered_nodes[12]), # 11 -> 13\n",
    "        (numbered_nodes[10], numbered_nodes[13]), # 11 -> 14\n",
    "        (numbered_nodes[10], numbered_nodes[14]), # 11 -> 15\n",
    "        (numbered_nodes[10], numbered_nodes[15]), # 11 -> 16\n",
    "        (numbered_nodes[10], numbered_nodes[16])  # 11 -> 17\n",
    "    ]\n",
    "\n",
    "    for src, tgt in black_edge_list:\n",
    "        G.add_edge(src, tgt)\n",
    "        edge_colors[(src, tgt)] = 'black'\n",
    "\n",
    "    # Draw the graph\n",
    "    plt.figure(figsize=(12, 8))\n",
    "    nx.draw(\n",
    "        G, pos, with_labels=True, node_color=node_colors, \n",
    "        edge_color=[edge_colors.get(edge, 'lightgrey') for edge in G.edges],\n",
    "        node_size=3000, font_size=9, connectionstyle=\"arc3,rad=0.2\"\n",
    "    )\n",
    "    \n",
    "    plt.title(\"Self-Similar Micro-Decisions\", fontsize=18)\n",
    "    plt.show()\n",
    "\n",
    "# Run the visualization\n",
    "visualize_nn()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```{figure} ../figures/blanche.*\n",
    "---\n",
    "width: 1\n",
    "height: 1\n",
    "---\n",
    "_Dynamic Capability_. The monumental will align adversarial TNF-α, IL-6, IFN-γ with antigens from pathogens of \"ancient grudge\", a new mutiny with antiquarian roots. But it will also tokenize PD-1 & CTLA-4 with specific, emergent antigens, while also reappraising \"self\" to ensure no rogue viral and malignant elements remain unnoticéd.\n",
    "```\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "hide-input",
     "hide-output"
    ]
   },
   "outputs": [
    {
     "ename": "SystemExit",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "An exception has occurred, use %tb to see the full traceback.\n",
      "\u001b[0;31mSystemExit\u001b[0m\n"
     ]
    },
    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
      "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
      "\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
      "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
     ]
    }
   ],
   "source": [
    "import pygame\n",
    "import sys\n",
    "import random\n",
    "\n",
    "# Initialize Pygame\n",
    "pygame.init()\n",
    "\n",
    "# Constants\n",
    "SCREEN_WIDTH = 800\n",
    "SCREEN_HEIGHT = 600\n",
    "PADDLE_WIDTH = 20\n",
    "PADDLE_HEIGHT = 100\n",
    "BALL_SIZE = 20\n",
    "BRICK_WIDTH = 40\n",
    "BRICK_HEIGHT = 20\n",
    "BRICK_COLUMNS = 5\n",
    "BRICK_ROWS = 30  # 600 / 20 = 30 rows to span screen height\n",
    "PADDLE_SPEED = 5\n",
    "BALL_SPEED = 5\n",
    "TARGET_SCORE = 50\n",
    "\n",
    "# Colors\n",
    "BLACK = (0, 0, 0)\n",
    "WHITE = (255, 255, 255)\n",
    "RED = (255, 100, 100)\n",
    "GREEN = (100, 255, 100)\n",
    "BLUE = (100, 100, 255)\n",
    "\n",
    "# Set up display\n",
    "screen = pygame.display.set_mode((SCREEN_WIDTH, SCREEN_HEIGHT))\n",
    "pygame.display.set_caption(\"Break-Pong\")\n",
    "clock = pygame.time.Clock()\n",
    "\n",
    "# Paddle class\n",
    "class Paddle:\n",
    "    def __init__(self, x, y):\n",
    "        self.x = x\n",
    "        self.y = y\n",
    "        self.width = PADDLE_WIDTH\n",
    "        self.height = PADDLE_HEIGHT\n",
    "        self.speed = PADDLE_SPEED\n",
    "\n",
    "    def move(self, up=True):\n",
    "        if up:\n",
    "            self.y -= self.speed\n",
    "        else:\n",
    "            self.y += self.speed\n",
    "        # Keep paddle within screen bounds\n",
    "        self.y = max(0, min(SCREEN_HEIGHT - self.height, self.y))\n",
    "\n",
    "    def draw(self):\n",
    "        pygame.draw.rect(screen, WHITE, (self.x, self.y, self.width, self.height))\n",
    "\n",
    "# Ball class\n",
    "class Ball:\n",
    "    def __init__(self):\n",
    "        self.reset()\n",
    "        self.size = BALL_SIZE\n",
    "\n",
    "    def move(self):\n",
    "        self.x += self.vel_x\n",
    "        self.y += self.vel_y\n",
    "\n",
    "    def reset(self):\n",
    "        self.x = SCREEN_WIDTH // 2\n",
    "        self.y = SCREEN_HEIGHT // 2\n",
    "        self.vel_x = random.choice([-1, 1]) * BALL_SPEED\n",
    "        self.vel_y = random.choice([-1, 1]) * BALL_SPEED\n",
    "        self.last_hit = None  # Tracks which paddle last hit the ball\n",
    "\n",
    "    def draw(self):\n",
    "        pygame.draw.circle(screen, WHITE, (int(self.x), int(self.y)), self.size // 2)\n",
    "\n",
    "# Brick class\n",
    "class Brick:\n",
    "    def __init__(self, x, y):\n",
    "        self.x = x\n",
    "        self.y = y\n",
    "        self.width = BRICK_WIDTH\n",
    "        self.height = BRICK_HEIGHT\n",
    "        self.color = random.choice([RED, GREEN, BLUE])\n",
    "        self.intact = True\n",
    "\n",
    "    def draw(self):\n",
    "        if self.intact:\n",
    "            pygame.draw.rect(screen, self.color, (self.x, self.y, self.width, self.height))\n",
    "\n",
    "# Particle class for visual effects\n",
    "class Particle:\n",
    "    def __init__(self, x, y):\n",
    "        self.x = x\n",
    "        self.y = y\n",
    "        self.size = random.randint(2, 5)\n",
    "        self.vel_x = random.uniform(-2, 2)\n",
    "        self.vel_y = random.uniform(-2, 2)\n",
    "        self.life = 30  # Frames until particle disappears\n",
    "        self.color = random.choice([RED, GREEN, BLUE])\n",
    "\n",
    "    def update(self):\n",
    "        self.x += self.vel_x\n",
    "        self.y += self.vel_y\n",
    "        self.life -= 1\n",
    "\n",
    "    def draw(self):\n",
    "        if self.life > 0:\n",
    "            alpha = int((self.life / 30) * 255)  # Fade out effect\n",
    "            surface = pygame.Surface((self.size, self.size), pygame.SRCALPHA)\n",
    "            pygame.draw.circle(surface, (*self.color, alpha), (self.size // 2, self.size // 2), self.size // 2)\n",
    "            screen.blit(surface, (int(self.x), int(self.y)))\n",
    "\n",
    "# Collision detection functions\n",
    "def ball_collides_with_paddle(ball, paddle):\n",
    "    return (ball.x - ball.size // 2 < paddle.x + paddle.width and\n",
    "            ball.x + ball.size // 2 > paddle.x and\n",
    "            ball.y - ball.size // 2 < paddle.y + paddle.height and\n",
    "            ball.y + ball.size // 2 > paddle.y)\n",
    "\n",
    "def ball_collides_with_brick(ball, brick):\n",
    "    if not brick.intact:\n",
    "        return False\n",
    "    return (ball.x - ball.size // 2 < brick.x + brick.width and\n",
    "            ball.x + ball.size // 2 > brick.x and\n",
    "            ball.y - ball.size // 2 < brick.y + brick.height and\n",
    "            ball.y + ball.size // 2 > brick.y)\n",
    "\n",
    "# Initialize game objects\n",
    "left_paddle = Paddle(50, SCREEN_HEIGHT // 2 - PADDLE_HEIGHT // 2)\n",
    "right_paddle = Paddle(SCREEN_WIDTH - 50 - PADDLE_WIDTH, SCREEN_HEIGHT // 2 - PADDLE_HEIGHT // 2)\n",
    "ball = Ball()\n",
    "\n",
    "# Create central brick wall\n",
    "bricks = []\n",
    "brick_start_x = SCREEN_WIDTH // 2 - (BRICK_COLUMNS * BRICK_WIDTH) // 2\n",
    "for col in range(BRICK_COLUMNS):\n",
    "    for row in range(BRICK_ROWS):\n",
    "        bricks.append(Brick(brick_start_x + col * BRICK_WIDTH, row * BRICK_HEIGHT))\n",
    "\n",
    "# Scores and particles\n",
    "left_score = 0\n",
    "right_score = 0\n",
    "particles = []\n",
    "\n",
    "# Game loop\n",
    "running = True\n",
    "while running:\n",
    "    # Event handling\n",
    "    for event in pygame.event.get():\n",
    "        if event.type == pygame.QUIT:\n",
    "            running = False\n",
    "\n",
    "    # Paddle movement\n",
    "    keys = pygame.key.get_pressed()\n",
    "    if keys[pygame.K_w]:\n",
    "        left_paddle.move(up=True)\n",
    "    if keys[pygame.K_s]:\n",
    "        left_paddle.move(up=False)\n",
    "    if keys[pygame.K_UP]:\n",
    "        right_paddle.move(up=True)\n",
    "    if keys[pygame.K_DOWN]:\n",
    "        right_paddle.move(up=False)\n",
    "\n",
    "    # Update ball\n",
    "    ball.move()\n",
    "\n",
    "    # Ball collisions with top/bottom walls\n",
    "    if ball.y - ball.size // 2 <= 0 or ball.y + ball.size // 2 >= SCREEN_HEIGHT:\n",
    "        ball.vel_y = -ball.vel_y\n",
    "\n",
    "    # Ball collisions with paddles\n",
    "    if ball_collides_with_paddle(ball, left_paddle):\n",
    "        ball.vel_x = abs(ball.vel_x)  # Ensure ball moves right\n",
    "        ball.last_hit = 'left'\n",
    "    elif ball_collides_with_paddle(ball, right_paddle):\n",
    "        ball.vel_x = -abs(ball.vel_x)  # Ensure ball moves left\n",
    "        ball.last_hit = 'right'\n",
    "\n",
    "    # Ball collisions with bricks\n",
    "    for brick in bricks:\n",
    "        if ball_collides_with_brick(ball, brick):\n",
    "            brick.intact = False\n",
    "            ball.vel_x = -ball.vel_x\n",
    "            # Add particles\n",
    "            for _ in range(5):\n",
    "                particles.append(Particle(brick.x + brick.width // 2, brick.y + brick.height // 2))\n",
    "            # Award points\n",
    "            if ball.last_hit == 'left':\n",
    "                left_score += 1\n",
    "            elif ball.last_hit == 'right':\n",
    "                right_score += 1\n",
    "\n",
    "    # Ball off screen\n",
    "    if ball.x - ball.size // 2 <= 0:\n",
    "        right_score += 5\n",
    "        ball.reset()\n",
    "    elif ball.x + ball.size // 2 >= SCREEN_WIDTH:\n",
    "        left_score += 5\n",
    "        ball.reset()\n",
    "\n",
    "    # Update particles\n",
    "    for particle in particles[:]:\n",
    "        particle.update()\n",
    "        if particle.life <= 0:\n",
    "            particles.remove(particle)\n",
    "\n",
    "    # Draw everything\n",
    "    screen.fill(BLACK)\n",
    "    for brick in bricks:\n",
    "        brick.draw()\n",
    "    left_paddle.draw()\n",
    "    right_paddle.draw()\n",
    "    ball.draw()\n",
    "    for particle in particles:\n",
    "        particle.draw()\n",
    "\n",
    "    # Draw scores\n",
    "    font = pygame.font.Font(None, 36)\n",
    "    left_text = font.render(f\"Left: {left_score}\", True, WHITE)\n",
    "    right_text = font.render(f\"Right: {right_score}\", True, WHITE)\n",
    "    screen.blit(left_text, (50, 20))\n",
    "    screen.blit(right_text, (SCREEN_WIDTH - 150, 20))\n",
    "\n",
    "    # Check for game over\n",
    "    if left_score >= TARGET_SCORE or right_score >= TARGET_SCORE:\n",
    "        winner = \"Left\" if left_score >= TARGET_SCORE else \"Right\"\n",
    "        game_over_text = font.render(f\"{winner} Wins!\", True, WHITE)\n",
    "        screen.blit(game_over_text, (SCREEN_WIDTH // 2 - 50, SCREEN_HEIGHT // 2))\n",
    "        pygame.display.flip()\n",
    "        pygame.time.wait(3000)\n",
    "        running = False\n",
    "\n",
    "    pygame.display.flip()\n",
    "    clock.tick(60)\n",
    "\n",
    "# Cleanup\n",
    "pygame.quit()\n",
    "sys.exit()"
   ]
  }
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