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    "# MCB128 Section: CNNs for DNA Binding Motif Discovery\n",
    "\n",
    "## *From Convolutions to DeepBind — Understanding How Neural Networks Read DNA*\n",
    "\n",
    "---\n",
    "\n",
    "### Section Roadmap\n",
    "\n",
    "| Time | Activity | Format |\n",
    "|------|----------|--------|\n",
    "| 0:00–0:10 | **Part 1:** The Biology — Why do we need CNNs for genomics? | Lecture + Discussion |\n",
    "| 0:10–0:25 | **Part 2:** The Math of Convolutions — Hands-on worked examples | Group work |\n",
    "| 0:25–0:50 | **Part 3:** Building & Training DeepBind — Implement the CNN | Coding (groups) |\n",
    "| 0:50–1:10 | **Part 4:** Interpreting the CNN — What did the model learn? | Coding + Discussion |\n",
    "| 1:10–1:15 | **Wrap-up:** Key takeaways and connections to next lecture | Discussion |\n",
    "\n",
    "### Learning Objectives\n",
    "\n",
    "By the end of this section you will be able to:\n",
    "1. Explain why CNNs are well-suited for discovering sequence motifs in DNA/RNA\n",
    "2. Compute a 1D convolution by hand on one-hot DNA and reason about pooling, channels, and receptive fields\n",
    "3. Implement and train a DeepBind model in PyTorch end-to-end\n",
    "4. **Interpret** trained CNN filters to recover biological motifs — the core interpretability skill"
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    "---\n",
    "# Part 1: The Biology — Why CNNs for Genomics? (10 min)\n",
    "\n",
    "## The Biological Problem: Finding Where Proteins Bind DNA\n",
    "\n",
    "Transcription factors (TFs) are proteins that regulate gene expression by binding to specific short DNA sequences called **motifs**. For example, the transcription factor GATA1 recognizes the motif `GATAA`. Knowing where TFs bind is critical for understanding gene regulation, development, and disease.\n",
    "\n",
    "### Why is this hard?\n",
    "\n",
    "- **Motifs are short** (~ 6–20 bp) but genomes are huge (~3 billion bp in humans)\n",
    "- **Motifs are degenerate** — not every position is equally important. GATA1 tolerates some variation.\n",
    "- **Motifs can appear anywhere** in a regulatory region — the model must be *position-independent*\n",
    "- **High-throughput experiments** (ChIP-seq, HT-SELEX, PBM) generate tens of thousands of sequences\n",
    "\n",
    "### The Traditional Approach: Position Weight Matrices (PWMs)\n",
    "\n",
    "Classically, binding specificities are represented as **Position Weight Matrices** — a matrix of log-odds scores for each nucleotide at each position. PWMs work well for simple motifs but struggle with:\n",
    "- Complex binding modes (variable-width gaps, position interdependence)\n",
    "- Combining information from multiple motifs\n",
    "- Scaling to large datasets\n",
    "\n",
    "### The Deep Learning Solution: DeepBind (Alipanahi et al., 2015)\n",
    "\n",
    "**DeepBind** uses a convolutional neural network to *learn* motif detectors directly from sequence data. The key insight: **a CNN convolution kernel sliding across a DNA sequence is mathematically equivalent to scanning a motif detector** — but unlike a PWM, the CNN can learn the motif, the threshold, and the combination rules all at once.\n",
    "\n",
    "The DeepBind pipeline:\n",
    "\n",
    "$$f(s) = \\text{net}_W(\\text{pool}(\\text{rect}_b(\\text{conv}_M(s))))$$\n",
    "\n",
    "1. **Convolution**: Slide learned motif detectors across the one-hot encoded sequence  \n",
    "2. **Rectification (ReLU)**: Keep only strong matches (above a learned threshold)  \n",
    "3. **Pooling**: Summarize each detector's response across the whole sequence  \n",
    "4. **Neural network**: Combine detector responses into a final binding score\n",
    "\n",
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   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce19b7d7",
   "metadata": {
    "id": "ZaV-eyRJrK92"
   },
   "source": [
    "### 🧬 Group Discussion (2 min)\n",
    "\n",
    "**With your group, discuss:**\n",
    "\n",
    "> Why is **translational equivariance** important for motif detection? What would go wrong if the model treated the same motif differently depending on whether it appeared at position 10 vs. position 50 in the sequence?\n",
    "\n",
    "> *Hint from the lecture notes: a convolution with position-dependent biases breaks equivariance. Why is that a problem for genomics?*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40cebe42",
   "metadata": {
    "id": "dvry1S-srK92"
   },
   "source": [
    "---\n",
    "# Part 2: The Math of Convolutions on DNA (15 min)\n",
    "\n",
    "You've already worked with one-hot encoding and ReLU activations. Here we'll focus on the operations specific to CNNs: **multi-channel convolution on DNA, pooling, channels, and receptive fields.**\n",
    "\n",
    "Work through these exercises **with your group.**\n",
    "\n",
    "## 2.1 — Multi-Channel Convolution on One-Hot DNA\n",
    "\n",
    "Recall: for a one-hot encoded DNA sequence $S$ with 3 input channels and a motif detector kernel $W$ of size $K$, the convolution at position $i$ for output channel $c_o$ is:\n",
    "\n",
    "$$\n",
    "x_i^{c_o} = \\sum_{c_i=1}^4 \\sum_{k=1}^3 s_{i+k-2}^{c_i} W^{c_i c_o}_k\n",
    "$$\n",
    "\n",
    "Each motif detector $W^{c_o}$ has shape $(K \\times 4)$ — the same shape as a PWM. The convolution is just a **dot product** between the kernel and the sequence at each position.\n",
    "\n",
    "### Exercise 1: Score a motif detector against a DNA sequence\n",
    "\n",
    "Given the sequence `AGATAAGG` (a GATA motif) and two different kernel weights, compute the convolution scores."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "351d23cb",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "qQtHCxPOrK93",
    "outputId": "5d3f70b4-8be5-4dda-eb4a-7e87c4d53ae6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sequence:  A G A T A A G G\n",
      "M1 (GATA) scores: [0. 4. 1. 1. 1.]\n",
      "M2 (CCCC) scores: [0. 0. 0. 0. 0.]\n",
      "\n",
      "M1 max score at position 1 → aligns with: GATA\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "# EXERCISE 1: Multi-channel convolution on DNA\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "\n",
    "# One-hot encoding of 'AGATAAGG' (given — you've done this before)\n",
    "#              A  C  G  T\n",
    "S = np.array([[1, 0, 0, 0],   # A\n",
    "              [0, 0, 1, 0],   # G\n",
    "              [1, 0, 0, 0],   # A\n",
    "              [0, 0, 0, 1],   # T\n",
    "              [1, 0, 0, 0],   # A\n",
    "              [1, 0, 0, 0],   # A\n",
    "              [0, 0, 1, 0],   # G\n",
    "              [0, 0, 1, 0]])  # G\n",
    "\n",
    "# Motif detector 1: perfectly matches 'GATA' (positions 0-3 in kernel)\n",
    "#                 A   C   G   T\n",
    "M1 = np.array([[ 0,  0,  1,  0],   # G\n",
    "               [ 1,  0,  0,  0],   # A\n",
    "               [ 0,  0,  0,  1],   # T\n",
    "               [ 1,  0,  0,  0]])  # A\n",
    "\n",
    "# Motif detector 2: matches 'CCCC' (should score low on GATA sequence)\n",
    "M2 = np.array([[ 0,  1,  0,  0],\n",
    "               [ 0,  1,  0,  0],\n",
    "               [ 0,  1,  0,  0],\n",
    "               [ 0,  1,  0,  0]])\n",
    "\n",
    "K = 4  # kernel size\n",
    "L = S.shape[0]  # sequence length = 8\n",
    "\n",
    "# YOUR TASK: Compute convolution scores for M1 at every valid position\n",
    "# No padding, so output length = L - K + 1 = 5\n",
    "# Score at position i = sum of element-wise product of S[i:i+K] and M\n",
    "\n",
    "scores_M1 = np.zeros(L - K + 1)\n",
    "scores_M2 = np.zeros(L - K + 1)\n",
    "\n",
    "for i in range(L - K + 1):\n",
    "    scores_M1[i] = np.sum(S[i:i+K] * M1)\n",
    "    scores_M2[i] = np.sum(S[i:i+K] * M2)\n",
    "\n",
    "print('Sequence:  A G A T A A G G')\n",
    "print(f'M1 (GATA) scores: {scores_M1}')\n",
    "print(f'M2 (CCCC) scores: {scores_M2}')\n",
    "print()\n",
    "print(f'M1 max score at position {np.argmax(scores_M1)} → aligns with: ', end='')\n",
    "print('AGATAAGG'[np.argmax(scores_M1):np.argmax(scores_M1)+K])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5c02eab",
   "metadata": {
    "id": "WwXvzg7brK93"
   },
   "source": [
    "### Exercise 2: Pooling and the Fully Connected Layer\n",
    "\n",
    "After convolution + ReLU, DeepBind uses **global max pooling** to reduce each filter's output to a single number, then a **fully connected layer** to combine all filter outputs into a binding score.\n",
    "\n",
    "$$z^{c_o} = \\max(y_1^{c_o}, \\ldots, y_{L-K+1}^{c_o}) \\quad \\text{(max pooling)}$$\n",
    "\n",
    "$$f = \\text{bias} + \\sum_{c_o=1}^{C_O} W^{c_o} \\cdot z^{c_o} \\quad \\text{(FC layer)}$$\n",
    "\n",
    "**Why max pooling?** It answers: *\"What was the best match of this motif detector anywhere in the sequence?\"* This achieves position independence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "aa42d70c",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "3_ltxua8rK94",
    "outputId": "0b930f33-d059-4f48-da03-9fe644871c36"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After ReLU (bias=1.5):\n",
      "  M1: [0.  2.5 0.  0.  0. ]\n",
      "  M2: [0. 0. 0. 0. 0.]\n",
      "\n",
      "After max pooling: z = [2.5, 0.0]\n",
      "\n",
      "Logit (raw score): 1.500\n",
      "Binding probability: 0.818\n",
      "\n",
      "The model says this sequence DOES contain a binding site.\n"
     ]
    }
   ],
   "source": [
    "# ──────────────────────────────────────────────────────────────\n",
    "# EXERCISE 2: Complete the full DeepBind forward pass by hand\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "\n",
    "# Suppose we have 2 motif detectors (M1 and M2 from above)\n",
    "# and their convolution outputs are:\n",
    "conv_M1 = scores_M1  # from Exercise 1\n",
    "conv_M2 = scores_M2\n",
    "\n",
    "# Step 1: ReLU with bias b = 1.5\n",
    "b = 1.5\n",
    "relu_M1 = np.maximum(0, conv_M1 - b)\n",
    "relu_M2 = np.maximum(0, conv_M2 - b)\n",
    "print(f'After ReLU (bias={b}):')\n",
    "print(f'  M1: {relu_M1}')\n",
    "print(f'  M2: {relu_M2}')\n",
    "\n",
    "# Step 2: Global max pooling\n",
    "z1 = np.max(relu_M1)\n",
    "z2 = np.max(relu_M2)\n",
    "print(f'\\nAfter max pooling: z = [{z1}, {z2}]')\n",
    "\n",
    "# Step 3: Fully connected layer\n",
    "# Suppose learned weights W = [0.8, -0.3] and bias = -0.5\n",
    "W_fc = np.array([0.8, -0.3])\n",
    "bias_fc = -0.5\n",
    "z = np.array([z1, z2])\n",
    "\n",
    "logit = np.dot(W_fc, z) + bias_fc\n",
    "binding_prob = 1 / (1 + np.exp(-logit))  # sigmoid\n",
    "\n",
    "print(f'\\nLogit (raw score): {logit:.3f}')\n",
    "print(f'Binding probability: {binding_prob:.3f}')\n",
    "print(f'\\nThe model says this sequence {\"DOES\" if binding_prob > 0.5 else \"does NOT\"} contain a binding site.')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bfa727f",
   "metadata": {
    "id": "Myr67h1FrK94"
   },
   "source": [
    "### Exercise 3: Parameter Counting & Receptive Field\n",
    "\n",
    "For the DeepBind architecture with:\n",
    "- Input: DNA sequences of length $L=100$, $C_I = 4$ channels\n",
    "- Conv layer: $C_O = 16$ filters, kernel size $K = 12$, no padding\n",
    "- Global max pooling\n",
    "- FC layer: 16 → 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0604f717",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "YtztO9P1rK95",
    "outputId": "f640c2e2-05d2-4744-bd59-6ce1f3b7e5e5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Conv: 784 params | FC: 17 params | Total: 801\n",
      "Output length after conv: 89\n",
      "Dimension after pooling: 16\n",
      "\n",
      "Receptive fields:\n",
      "  1 layer(s), K=12: RF = 12 bp\n",
      "  2 layer(s), K=12: RF = 23 bp\n",
      "  3 layer(s), K=12: RF = 34 bp\n",
      "\n",
      "DeepSEA uses 3 conv layers to capture longer-range regulatory grammar.\n",
      "Q: If you needed to detect motif pairs 50bp apart with K=8 filters,\n",
      "   how many layers would you need?\n",
      "Answer: 7 layers (RF = 50 bp).\n"
     ]
    }
   ],
   "source": [
    "# ──────────────────────────────────────────────────────────────\n",
    "# EXERCISE 3: Parameter counting and receptive field\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "\n",
    "L, C_I, C_O, K = 100, 4, 16, 12\n",
    "\n",
    "# 1. Conv layer: each filter is (C_I x K), plus one bias per filter\n",
    "conv_params = K * C_I * C_O + C_O\n",
    "\n",
    "# 2. Output length after convolution (no padding)\n",
    "L_out = L - K + 1\n",
    "\n",
    "# 3. After global max pooling: dimension = ?\n",
    "pool_dim = C_O\n",
    "\n",
    "# 4. FC layer: pool_dim -> 1, plus 1 bias\n",
    "fc_params = pool_dim + 1\n",
    "\n",
    "total = conv_params + fc_params\n",
    "print(f'Conv: {conv_params} params | FC: {fc_params} params | Total: {total}')\n",
    "print(f'Output length after conv: {L_out}')\n",
    "print(f'Dimension after pooling: {pool_dim}')\n",
    "print()\n",
    "\n",
    "# 5. Receptive field\n",
    "# For L stacked conv layers each with kernel size K, stride 1:\n",
    "# RF = L_layers * (K - 1) + 1\n",
    "print('Receptive fields:')\n",
    "for n_layers in [1, 2, 3]:\n",
    "    rf = n_layers * (K - 1) + 1\n",
    "    print(f'  {n_layers} layer(s), K={K}: RF = {rf} bp')\n",
    "\n",
    "print()\n",
    "print('DeepSEA uses 3 conv layers to capture longer-range regulatory grammar.')\n",
    "print('Q: If you needed to detect motif pairs 50bp apart with K=8 filters,')\n",
    "print('   how many layers would you need?')\n",
    "needed_layers = int(np.ceil((50 - 1) / (8 - 1)))\n",
    "print(f'Answer: {needed_layers} layers (RF = {needed_layers * (8 - 1) + 1} bp).')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db77afd4",
   "metadata": {
    "id": "XXqD1GQ-rK95"
   },
   "source": [
    "---\n",
    "# Part 3: Building & Training DeepBind (25 min)\n",
    "\n",
    "Now the main event. You'll implement the model, write the data generation pipeline, build the training loop, and evaluate performance — with fill-in scaffolding throughout.\n",
    "\n",
    "## 3.1 — Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1fb4c94e",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "0xZml598rK95",
    "outputId": "28632c18-f8e6-4e56-aa21-36294b893f5e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using device: cpu\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from torch.utils.data import DataLoader, TensorDataset\n",
    "\n",
    "torch.manual_seed(42)\n",
    "np.random.seed(42)\n",
    "\n",
    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "print(f'Using device: {device}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8c552e0",
   "metadata": {
    "id": "_lH2bvyxrK95"
   },
   "source": [
    "## 3.2 — Data Generation\n",
    "\n",
    "We'll embed known JASPAR-inspired motifs into random DNA sequences. You need to implement the key function that creates the dataset. Later, we'll check whether the CNN can *recover* these motifs — the core interpretability test."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ec0e619a",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "sDZmEPdHrK96",
    "outputId": "651330b8-14a5-48e0-ea98-599b80eb0f09"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X shape: torch.Size([3000, 4, 100])  (N, 4, L)\n",
      "y shape: torch.Size([3000, 1])\n",
      "Positive: 1500, Negative: 1500\n"
     ]
    }
   ],
   "source": [
    "# ──────────────────────────────────────────────────────────────\n",
    "# DATA GENERATION — fill in the missing functions\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "\n",
    "def one_hot_encode(seq):\n",
    "    \"\"\"Convert a DNA sequence string to one-hot tensor. Shape: (4, L).\"\"\"\n",
    "    mapping = {'A': 0, 'C': 1, 'G': 2, 'T': 3}\n",
    "    encoded = np.zeros((4, len(seq)), dtype=np.float32)\n",
    "    for i, base in enumerate(seq):\n",
    "        encoded[mapping.get(base, 0), i] = 1.0\n",
    "    return encoded\n",
    "\n",
    "def random_seq(length):\n",
    "    return ''.join(np.random.choice(['A', 'C', 'G', 'T'], size=length))\n",
    "\n",
    "def embed_motif(seq, motif, mutation_rate=0.15):\n",
    "    \"\"\"\n",
    "    Embed a motif at a random position in a sequence.\n",
    "    With probability `mutation_rate`, each motif base is randomized.\n",
    "    Returns: (modified_sequence_string, insertion_position)\n",
    "    \"\"\"\n",
    "    seq = list(seq)\n",
    "    pos = np.random.randint(0, len(seq) - len(motif) + 1)\n",
    "    for i, base in enumerate(motif):\n",
    "        if np.random.random() < mutation_rate:\n",
    "            seq[pos + i] = np.random.choice(['A', 'C', 'G', 'T'])\n",
    "        else:\n",
    "            seq[pos + i] = base\n",
    "    return ''.join(seq), pos\n",
    "\n",
    "\n",
    "def generate_dataset(motif, seq_len=100, n_pos=1500, n_neg=1500):\n",
    "    \"\"\"\n",
    "    Generate a binary classification dataset.\n",
    "      - Positive examples: random sequences WITH the motif embedded\n",
    "      - Negative examples: purely random sequences\n",
    "\n",
    "    YOUR TASK: Fill in the loop that builds the dataset.\n",
    "\n",
    "    Returns: X (tensor), y (tensor), positions (list)\n",
    "    \"\"\"\n",
    "    sequences = []\n",
    "    labels = []\n",
    "    positions = []\n",
    "\n",
    "    # ── Positive examples ──\n",
    "    for _ in range(n_pos):\n",
    "        bg = random_seq(seq_len)\n",
    "        seq_with_motif, pos = embed_motif(bg, motif)\n",
    "        sequences.append(one_hot_encode(seq_with_motif))\n",
    "        labels.append(1)\n",
    "        positions.append(pos)\n",
    "\n",
    "    # ── Negative examples ──\n",
    "    for _ in range(n_neg):\n",
    "        seq = random_seq(seq_len)\n",
    "        sequences.append(one_hot_encode(seq))\n",
    "        labels.append(0)\n",
    "        positions.append(None)\n",
    "\n",
    "    X = torch.tensor(np.array(sequences), dtype=torch.float32)\n",
    "    y = torch.tensor(labels, dtype=torch.float32).unsqueeze(1)\n",
    "    return X, y, positions\n",
    "\n",
    "\n",
    "# ── Generate the data ──\n",
    "TARGET_MOTIF = 'AGATAAGG'  # GATA family motif\n",
    "SEQ_LEN = 100\n",
    "\n",
    "X, y, motif_positions = generate_dataset(TARGET_MOTIF, seq_len=SEQ_LEN)\n",
    "print(f'X shape: {X.shape}  (N, 4, L)')\n",
    "print(f'y shape: {y.shape}')\n",
    "print(f'Positive: {int(y.sum())}, Negative: {len(y) - int(y.sum())}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b6c6632e",
   "metadata": {
    "id": "xHP0D0D1rK96"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train: 2400 samples (38 batches)\n",
      "Test:  600 samples (10 batches)\n"
     ]
    }
   ],
   "source": [
    "# ──────────────────────────────────────────────────────────────\n",
    "# TRAIN/TEST SPLIT — fill in the data loaders\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "\n",
    "n_total = len(y)\n",
    "n_train = int(0.8 * n_total)\n",
    "\n",
    "# Shuffle indices\n",
    "perm = torch.randperm(n_total)\n",
    "X, y = X[perm], y[perm]\n",
    "motif_positions = [motif_positions[i] for i in perm.numpy()]\n",
    "\n",
    "X_train, X_test = X[:n_train], X[n_train:]\n",
    "y_train, y_test = y[:n_train], y[n_train:]\n",
    "\n",
    "BATCH_SIZE = 64\n",
    "\n",
    "# YOUR TASK: Create DataLoaders\n",
    "train_loader = DataLoader(\n",
    "    TensorDataset(X_train, y_train), #pairs each sequence with its label.\n",
    "    batch_size=BATCH_SIZE,\n",
    "    shuffle=True\n",
    ")\n",
    "test_loader = DataLoader(\n",
    "    TensorDataset(X_test, y_test),\n",
    "    batch_size=BATCH_SIZE\n",
    ")\n",
    "\n",
    "print(f'Train: {n_train} samples ({len(train_loader)} batches)')\n",
    "print(f'Test:  {n_total - n_train} samples ({len(test_loader)} batches)')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59d1622b",
   "metadata": {
    "id": "aUwvwzQ2rK96"
   },
   "source": [
    "## 3.3 — Implement the DeepBind Model\n",
    "\n",
    "Fill in the model architecture. The design follows DeepBind exactly:\n",
    "\n",
    "| Stage | Operation | Input → Output shape |\n",
    "|-------|-----------|---------------------|\n",
    "| Conv | `nn.Conv1d(4, n_filters, K)` | `(B, 4, L)` → `(B, n_filters, L-K+1)` |\n",
    "| ReLU | `nn.ReLU()` | same |\n",
    "| Pool | `torch.max(x, dim=2)` | `(B, n_filters, L')` → `(B, n_filters)` |\n",
    "| Dropout | `nn.Dropout(p)` | same |\n",
    "| FC | `nn.Linear(n_filters, 1)` | `(B, n_filters)` → `(B, 1)` |"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7362dee8",
   "metadata": {
    "id": "48hcSBRArK96"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Forward pass OK — output shape torch.Size([8, 1])\n",
      "Total parameters: 801\n"
     ]
    }
   ],
   "source": [
    "# ──────────────────────────────────────────────────────────────\n",
    "# DEEPBIND MODEL — fill in the architecture and forward pass\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "\n",
    "class DeepBind(nn.Module):\n",
    "    def __init__(self, n_filters=16, kernel_size=12, dropout=0.25):\n",
    "        super().__init__()\n",
    "\n",
    "        # YOUR TASK: Define layers (The input has 4 channels (A, C, G, and T).\n",
    "        # Create n_filters separate motif detectors, each examining\n",
    "        # kernel_size bases at a time. Do not use padding.)\n",
    "        self.conv = nn.Conv1d(\n",
    "            in_channels=4,\n",
    "            out_channels=n_filters,\n",
    "            kernel_size=kernel_size,\n",
    "            padding=0\n",
    "        )\n",
    "        self.relu = nn.ReLU()\n",
    "        self.dropout = nn.Dropout(p=dropout)\n",
    "        self.fc = nn.Linear(n_filters, 1)\n",
    "\n",
    "    def forward(self, x):\n",
    "        \"\"\"\n",
    "        x: (batch, 4, seq_len)\n",
    "        returns: (batch, 1) — raw logits\n",
    "        \"\"\"\n",
    "        # YOUR TASK: Implement the forward pass\n",
    "        x = self.conv(x)\n",
    "        x = self.relu(x)\n",
    "        x = torch.max(x, dim=2)[0]\n",
    "        x = self.dropout(x)\n",
    "        x = self.fc(x)\n",
    "        return x\n",
    "\n",
    "\n",
    "# ── Sanity check ──\n",
    "model = DeepBind(n_filters=16, kernel_size=12).to(device)\n",
    "dummy = torch.randn(8, 4, SEQ_LEN).to(device)\n",
    "out = model(dummy)\n",
    "assert out.shape == (8, 1), f'Expected (8,1), got {out.shape}'\n",
    "print(f'✅ Forward pass OK — output shape {out.shape}')\n",
    "print(f'Total parameters: {sum(p.numel() for p in model.parameters()):,}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "367d77fd",
   "metadata": {
    "id": "on1P0YCBrK97"
   },
   "source": [
    "## 3.4 — Implement the Training Loop\n",
    "\n",
    "Now write the training loop yourself. DeepBind uses:\n",
    "- **Loss**: `BCEWithLogitsLoss` (binary cross-entropy — combines sigmoid + BCE for numerical stability)\n",
    "- **Optimizer**: Adam\n",
    "- Standard train/eval pattern with `model.train()` / `model.eval()` and `torch.no_grad()`\n",
    "\n",
    "You'll also implement the **evaluation function** that computes accuracy and AUC."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3665ea0e",
   "metadata": {
    "id": "SWvxe8FWrK97"
   },
   "outputs": [],
   "source": [
    "# ──────────────────────────────────────────────────────────────\n",
    "# EVALUATION FUNCTION — fill in\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "\n",
    "from sklearn.metrics import roc_auc_score\n",
    "\n",
    "def evaluate(model, loader, criterion, device):\n",
    "    \"\"\"\n",
    "    Evaluate model on a DataLoader.\n",
    "    Returns: (avg_loss, accuracy, AUC)\n",
    "    \"\"\"\n",
    "    model.eval()\n",
    "    total_loss = 0\n",
    "    all_preds = []\n",
    "    all_labels = []\n",
    "\n",
    "    with torch.no_grad():\n",
    "        for X_batch, y_batch in loader:\n",
    "            X_batch, y_batch = X_batch.to(device), y_batch.to(device)\n",
    "\n",
    "            logits = model(X_batch)\n",
    "            loss = criterion(logits, y_batch)\n",
    "            total_loss += loss.item()\n",
    "\n",
    "            probs = torch.sigmoid(logits)\n",
    "            all_preds.extend(probs.cpu().numpy().flatten())\n",
    "            all_labels.extend(y_batch.cpu().numpy().flatten())\n",
    "\n",
    "    avg_loss = total_loss / len(loader)\n",
    "    preds_binary = [1 if p > 0.5 else 0 for p in all_preds]\n",
    "    accuracy = sum(p == l for p, l in zip(preds_binary, all_labels)) / len(all_labels)\n",
    "    auc = roc_auc_score(all_labels, all_preds)\n",
    "    return avg_loss, accuracy, auc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "91f99d56",
   "metadata": {
    "id": "tFRsv7NnrK97"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch  1/20 | Train Loss: 0.7064 | Test Loss: 0.6941 | Acc: 0.503 | AUC: 0.487\n",
      "Epoch  5/20 | Train Loss: 0.6643 | Test Loss: 0.6609 | Acc: 0.800 | AUC: 0.874\n",
      "Epoch 10/20 | Train Loss: 0.5735 | Test Loss: 0.5636 | Acc: 0.833 | AUC: 0.924\n",
      "Epoch 15/20 | Train Loss: 0.4488 | Test Loss: 0.4359 | Acc: 0.850 | AUC: 0.932\n",
      "Epoch 20/20 | Train Loss: 0.3728 | Test Loss: 0.3700 | Acc: 0.857 | AUC: 0.934\n",
      "\n",
      "Final — Acc: 0.857, AUC: 0.934\n"
     ]
    }
   ],
   "source": [
    "# ──────────────────────────────────────────────────────────────\n",
    "# TRAINING LOOP — fill in the missing pieces\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "\n",
    "# Re-initialize model (fresh weights)\n",
    "model = DeepBind(n_filters=16, kernel_size=12, dropout=0.25).to(device)\n",
    "\n",
    "# YOUR TASK: Set up the optimizer and loss function\n",
    "optimizer = optim.Adam(model.parameters(), lr=1e-3)\n",
    "criterion = nn.BCEWithLogitsLoss()\n",
    "\n",
    "#optim.Adam: an optimization algorithm that adjusts the weights using the gradients calculated during backpropagation\n",
    "\n",
    "#model output: raw logit\n",
    "#BCEWithLogitsLoss: sigmoid + error calculation\n",
    "# optimizer: updates model weights\n",
    "\n",
    "N_EPOCHS = 20\n",
    "history = {'train_loss': [], 'test_loss': [], 'test_acc': [], 'test_auc': []}\n",
    "\n",
    "for epoch in range(N_EPOCHS):\n",
    "    # ── Training phase ──\n",
    "    model.train()\n",
    "    epoch_loss = 0\n",
    "\n",
    "    for X_batch, y_batch in train_loader:\n",
    "        X_batch, y_batch = X_batch.to(device), y_batch.to(device)\n",
    "\n",
    "        # YOUR TASK: Complete the training step\n",
    "        optimizer.zero_grad()\n",
    "        logits = model(X_batch)\n",
    "        loss = criterion(logits, y_batch)\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "\n",
    "        epoch_loss += loss.item()\n",
    "\n",
    "    # ── Evaluation phase ──\n",
    "    train_loss = epoch_loss / len(train_loader)\n",
    "    test_loss, test_acc, test_auc = evaluate(model, test_loader, criterion, device)\n",
    "\n",
    "    history['train_loss'].append(train_loss)\n",
    "    history['test_loss'].append(test_loss)\n",
    "    history['test_acc'].append(test_acc)\n",
    "    history['test_auc'].append(test_auc)\n",
    "\n",
    "    if (epoch + 1) % 5 == 0 or epoch == 0:\n",
    "        print(f'Epoch {epoch+1:2d}/{N_EPOCHS} | Train Loss: {train_loss:.4f} | '\n",
    "              f'Test Loss: {test_loss:.4f} | Acc: {test_acc:.3f} | AUC: {test_auc:.3f}')\n",
    "\n",
    "print(f'\\nFinal — Acc: {history[\"test_acc\"][-1]:.3f}, AUC: {history[\"test_auc\"][-1]:.3f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "95b023e7",
   "metadata": {
    "id": "IoQ59MDMrK97"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ──────────────────────────────────────────────────────────────\n",
    "# PLOT TRAINING CURVES\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "\n",
    "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n",
    "\n",
    "axes[0].plot(history['train_loss'], label='Train', linewidth=2)\n",
    "axes[0].plot(history['test_loss'], label='Test', linewidth=2)\n",
    "axes[0].set_xlabel('Epoch'); axes[0].set_ylabel('BCE Loss')\n",
    "axes[0].set_title('Loss'); axes[0].legend(); axes[0].grid(alpha=0.3)\n",
    "\n",
    "axes[1].plot(history['test_acc'], 'g-', linewidth=2)\n",
    "axes[1].axhline(0.5, color='gray', linestyle='--', label='Random')\n",
    "axes[1].set_xlabel('Epoch'); axes[1].set_ylabel('Accuracy')\n",
    "axes[1].set_title('Test Accuracy'); axes[1].set_ylim([0.4, 1.05])\n",
    "axes[1].legend(); axes[1].grid(alpha=0.3)\n",
    "\n",
    "axes[2].plot(history['test_auc'], 'm-', linewidth=2)\n",
    "axes[2].axhline(0.5, color='gray', linestyle='--', label='Random')\n",
    "axes[2].set_xlabel('Epoch'); axes[2].set_ylabel('AUC')\n",
    "axes[2].set_title('Test AUC (ROC)'); axes[2].set_ylim([0.4, 1.05])\n",
    "axes[2].legend(); axes[2].grid(alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "108201e0",
   "metadata": {
    "id": "ekpFEazWrK97"
   },
   "source": [
    "### 🔍 Group Check-In (2 min)\n",
    "\n",
    "Your test AUC should be well above 0.9 (likely >0.95). If it's near 0.5, check:\n",
    "- Did you call `loss.backward()` *before* `optimizer.step()`?\n",
    "- Did you pass `logits` (not sigmoid outputs) to `BCEWithLogitsLoss`?\n",
    "- Is the model on the same device as the data?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb77cdb0",
   "metadata": {
    "id": "fmdPt4SVrK98"
   },
   "source": [
    "---\n",
    "# Part 4: Interpreting the CNN — What Did the Model Learn? (20 min)\n",
    "\n",
    "Training accuracy is nice, but the real question is: **did the CNN learn the GATA motif?**\n",
    "\n",
    "This is the most important part of the section. We'll implement three interpretability techniques from the DeepBind paper.\n",
    "\n",
    "## 4.1 — Visualizing Learned Filters as Sequence Logos\n",
    "\n",
    "Each convolutional filter has shape $(4, K)$ — identical to a PWM. Following DeepBind Supplementary Sec. 10.3, we subtract the column mean before visualization to make the patterns easier to read."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2083e2e2",
   "metadata": {
    "id": "sVyv5ioSrK98"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filter tensor shape: (16, 4, 12)  → (16 filters, 4 channels, K=12)\n"
     ]
    }
   ],
   "source": [
    "# ──────────────────────────────────────────────────────────────\n",
    "# FILTER VISUALIZATION — implement the plotting function\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "\n",
    "def plot_filter_logo(weights, title='', ax=None):\n",
    "    \"\"\"\n",
    "    Visualize a (4, K) convolutional filter as a sequence logo.\n",
    "    Uses softmax to convert raw weights to base probabilities.\n",
    "    \"\"\"\n",
    "    if ax is None:\n",
    "        fig, ax = plt.subplots(figsize=(8, 2))\n",
    "\n",
    "    w = weights.copy()\n",
    "    w -= w.mean(axis=0, keepdims=True)   # center each position (DeepBind Supp. 10.3)\n",
    "\n",
    "    # Convert to probabilities via softmax with temperature\n",
    "    exp_w = np.exp(w * 3)\n",
    "    probs = exp_w / exp_w.sum(axis=0, keepdims=True)\n",
    "\n",
    "    bases = ['A', 'C', 'G', 'T']\n",
    "    colors = {'A': '#228B22', 'C': '#0000CD', 'G': '#FFD700', 'T': '#DC143C'}\n",
    "    K = w.shape[1]\n",
    "\n",
    "    for pos in range(K):\n",
    "        order = np.argsort(probs[:, pos])\n",
    "        y_off = 0\n",
    "        for idx in order:\n",
    "            h = probs[idx, pos]\n",
    "            if h > 0.05:\n",
    "                ax.bar(pos, h, bottom=y_off, color=colors[bases[idx]],\n",
    "                       width=0.8, edgecolor='none')\n",
    "                if h > 0.2:\n",
    "                    ax.text(pos, y_off + h/2, bases[idx],\n",
    "                            ha='center', va='center', fontsize=8, fontweight='bold')\n",
    "            y_off += h\n",
    "\n",
    "    ax.set_xlim(-0.5, K - 0.5)\n",
    "    ax.set_ylim(0, 1.1)\n",
    "    ax.set_title(title, fontsize=10)\n",
    "    ax.spines['top'].set_visible(False)\n",
    "    ax.spines['right'].set_visible(False)\n",
    "    return ax\n",
    "\n",
    "\n",
    "# YOUR TASK: Extract the convolutional filters from the trained model\n",
    "filters = model.conv.weight.detach().cpu().numpy()\n",
    "#model.cov.weight assesses the weights of the conv. layer, removes the wights from PyTorchs gradient tracking\n",
    "#system, moves it to the CPU, and converts the PyTorch tensor to a NumPy array\n",
    "\n",
    "\n",
    "print(f'Filter tensor shape: {filters.shape}  → ({filters.shape[0]} filters, {filters.shape[1]} channels, K={filters.shape[2]})')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d583b2f4",
   "metadata": {
    "id": "yD8gqdlTrK98"
   },
   "outputs": [
    {
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64mtkWouMpUuXVrx2yy23VLxm3YY05ntYbWar9R1fUzm2Plbr1rqTqcs+rG39rUsNaw0S28/WVZB1zRF7/cEHH6zxWLF1se8Ym26fjdVQN3fcccchrQXqcwzX9p7aahQ3RUsNa40R/x7rLsRs27bN7RImNn3OnDmVPmc1omOvWe3butR0bswxYvvAavnH/z43bdp0SHdEBQUFdd52jdmv8dOt9vSnn356yPzja1Vbzf6qrPuhZGPd5MTvG6sJHt8t1dNPP13p3Ga/G2NdQMW3hIhXtcXKrFmzKl6rrYZ4Tb8La/EX/xnruqq2bVv1d23nrpiPPvqo0mvVdddXlR0H8Z+x4yTGjh87juLPjbFzWdVYZy3DYq0K7PcWHz/jWzXG1263FoXxrJZ/7DX7vdp8zE033VRrdz3WxVVN3VzVtaWGteiLTbcYuWLFiorX7P/xcTPW+s9+o/Hf01pJxYtvNWXvi3VZWTWe/vjHP67UQsSe10dTtNSwFpCx72jx8de//nWTxvSq4ve1PX75y19Wen3ixImVXq+uq67qWtTGutqMtcCKtQKp2gVYfVtqWKuu+NaWxs6T8V0eVtd6N8b2/cknn1zxXtvfixYtOux2AgAAtNQAAKDBtfKspuZll13m/t9q1WVmZmrv3r3u89/97ndu7e5kYwNkVq0F2rt374pa3rF1ttqV69at07HHHtuky7cWCTG2HY8//vg6tSqxWqBWazh+WnWshm5NrAZ7ampqrZ+3mrR9+/ateB7fWiVWK7+h38NaaFht4xhrKRBbHzuW7PtZrfvGspqoVivWatBbber169e7060Gs7VkqamVxurVqysNdmq1nq1We4zVRJ4+fXrFc5t3TTXVk01Z+fyhbGBoG1Q8ZuzYse6jOh999JFbKzw7O7tOy2zIMWL7wGr5x1ht6Pbt21d6b201fr3cr3ZMVde6yVo1xFoZWQsWaw1ltdW/9KUv6ZxzzlHPnj3rtJ7W2sdadzSGLb8ug27HDxQfa6Fhg4bHv26thOxh62QtBK699lrl5eVV+t41se1r74+p2uot/lxSk/iWGNYqZOLEiYe8p7Za7z/84Q8btfxYS4z44yT++9lxFHuPHV92nNnAx1VZqy07vxmrvW+10K31Rfx62O/Kfl8xTz31lPuojv1ebQBp28+2Dx5++GF3urV+sQGbTzzxRPf72nFor8cf6w0Rvx2spUH8ANH2f5tmrQvi32vrF7tOqLrtYs9jLafsffZ+a0VQ1X333Vfx/5/+9Ke66667lGhTpkxx/1qsshYlVb9LQ2N6XcWOnca0qLVzkLXyjLX8iLWMsePwL3/5i9siqiFsv8WfN2zexs6Tdi0R+752PVhT690RI0ZUDHZusdtadlgLJQAAcHh0PwUAQANvlK07jVj3OFbodOGFF7pdccS6+LCCQus2KZnYTXOs0NQKmGIJDWPdxsQnYvLz85s8qRFfuHo48YW7ljRatmzZYT8T6yKkOlbYdTjdunWr9DwjI6PagvGGfI9YlxcxVQurrXuhpmIFKLFugawbKmOFUa1bt67xM1W/U9X1qfq8LgWjycK6bYoX66KsPvvR9r91I1LXpEZDjpGqn2mK319T7deafj92nFnXLtatjm0fKySMZ6/9/ve/P2xC0ebz97//XY1hx3hdkhrWlVRWVlZF11jWTVCscPKYY46pOK9bcsPO5ZZgsMLb+ARYfGKkKtumluSu7jxiSktL67XfbH3qWzgffy5r7PIbc9zUdk6NrYd9tqbEY22/F+sO67bbbtMjjzzinvstqRCfhLB9aQk3S7A1VPx2qO4cHT8ttg2a+lxqBfuH67bJa9a1UnVJzYbG9JpU7T7SkmXx7DrLEmPWXV5N3XZ9/vnnlSoIxCqfxLpws9i7efPmimu6hiY1LFkRY+eTb37zm5UqLcSSGtYVlXW7Fn+9Zew7xLrPNNZNJAkNAADqLrlKWgAASGJWq9tuQmOskKumWoR2w9yYGoBesZql8TfR8aoWKsUXyjUVS6TEz9/GwahJrADeCjXiExrWX7cljKxPeNv+VkBRl8ISa6lQl4KbeDXt34Z8D0soxYsVqsTEai83BasxbX24xwp27HscbpyX+O9U3fpUfW4te4Li8ccfr/TcCraq+87WX39tYw3UlhRqimOk6vpYa6nGaqr9WtPvxwrcrSDZxh6wmsv/+te/3AI8G/vDkgBWI90SDWPGjFGysPEsrCb/m2++WZHUiI11E98Cw8a7saSGjZsQG5cmVjA/cODARp9H6rrfrLWI1YKvT2Ijfh0au/zYcRLfSqiux01dtkXVc6PFzdpawthYVjE2roy10rACZNuHlsC0FhtWsP3pp5+6LVYakyyL3w7VnaPjp8W2QVP95iyRaN/JYvP3v/99d2yJ+ILzRIitgyWNbL/Y+EP222nMee5wCUerJGJjyhg7f9hYK5Y0MHZc2MNaNNSU1IhvURtr8RLf6iWeJb0ON+ZFXcbssASpjfVVk+pa79rv2VpPVo1LAACgbkhqAADQgFYadX1/siU1rJZjLKlhNSyt24NYdxrxg5paQdQpp5zS5Mu31i0x1lWX1aCtrtsNSyDFavRagUM8q50bq81phZJ1SWgkw/ewwiErlIp1QWW116+55hq3BrsVWlnhaVO6+eabK5IaNpD14VqqWJctVkAVq3n79NNPu13oxApSbVDcmrZBfMFlbODeZGGDvccPEm61t23wdGOFc/b94gd6tZrfVVn3Z5Zciy+0Otx3bsgxYvvABtqNHdNWA926w7KayfG1um2dY+tyuPVozH6tC0s4Wg1k6+IlvqspK3y1wmVjA20fLqkRSzAkirW0iC3TWmLEkrrxhenxrTHiu22zhEbV1g9N7cwzz6zoosgKeK3w/s4776z0Hiu0t+PZC1WPAztOHnjgAff/9nux4yjGjq+qXVzVhyXMrMuzWBdUds6381fVhMgXX3zhdpkYa3lhST9LCFhSxH5bsd+XJXRjv3E79hq7HSxZZ6z7MRs4PbZ8i5/xXZLFtpkdH/HnFdt2X//61yveF/+bs/fVlCCzAbktgb9o0SI3QWgtDqwwf+jQoUoUi1PW9ZwlKi122Ta2303s+qAh57na2D63RFTsWLPklHV1ZomKuraSq8+1mnXJabE3NvB5Xdmg91VbX9amuta71lWXDcIOAAAahqQGAAB1YDfr8bXyrFuY6goi7MY/1o2JFT5YDd/4AsmmZH3Qx/rytoKWeFazMVboaf08x/qTtlqBVjgWqylqhQ/WZcvGjRsrdaVgtUJrq3VYk8cee8z93tX54IMP3KSKtSKItXixbqWs8Omkk05yuyKxLq8suWKFdbY+VtBlBaVW8B/rqsQKu6zwywq+4tc5kRryPawwwwqHfvnLX7qfsdetZqbVBrdWP1Zw1ZRs31pteVufqt1eVMe2sbVUiPXbbrXvrWDVCgitpm6sgNXYWAmnnnpqtV2GWCGf7SOrwW814utbWNRYP/vZz9zCRDumrVZxrL9yY4VqVrhk6xUrjLWkgSU+jBU62XFqBXVW69i67rJulaz7EPudDBs2rNJ3ttYJsUI0q0lsNYx79Oihb33rWw06Rmwf3H777brjjjsqxoixeVgXTtZljRXiWmGaJSZj417Eb3tLhljywJZhNeJvuOEGd70aul/rwgparbDZPmvrYtvUvlt8N1RVa+Ing/iERXwrtfjpVlBv293Ol/Hvqa0VQVOxc7DVLo+dqydNmuSeI6yvfkte2XFpscWOBy/YcXDuuedWnJfst7F27Vq30NqSpfHdPNnv/XDdix2OHfc2rpCx86EVml988cVu0sLO9fYbtORTx44dK8YusBhoYz5Y14k2jou9VlRU5BbEN9WxZ78h6xrNaubb79bO13YusN+XJSdiccnOKfZeY7X+bf/FWojZb8wKwG3f2X577bXXKuZvMaGmVgI2T0um2TLt+9s62HnEtn99k48NZdtvwYIF7rrb+EyWVLVzh40zY9u8Iee5w7GWNwsXLqxISL344ovuMWGJUuvOzFpF1NTi1LZvrNVVLHFdtQs0Y8e1XZ8ZW6/6xqn4aw9Lyl100UWHvMd+u7HEqbXMtFYh8S1t7DU7b8bY+b26dQUAADVgtHQAAA7v97//vZVoVTyefvrpat+3aNGiSu+bNWuWO/2NN96oNH3dunUVnxk9enTF9LPOOqvOuyP+c7U9fve731X63D/+8Q+nZcuWNb5/0KBBTmFhYZ3Wwb5HXdYh/pJj9erVTrdu3eq13tddd1217zn33HOdzp07VzyfMmVKxWfs89Utvyrb5rH32DaNV9s8GvI9tm/f7hx//PHVvu/ss8+u8RipTfz69+/f/7Dvr/qd4pdTUlLijBgxotbv06tXL+ezzz6rNM8PP/zQSU1NPeS9LVq0qNNxbvst9toxxxxTp+9d3Xxre9h833777UM+X1RU5AwdOvSwn696bDz00EPVvu/CCy9s1DFSWlrqXHXVVbW+37Z3zH//+18nOzu72vdt2bKlUfu1tvNIzAknnFDrfI888kjn3//+t5NsbL83b9680rq2a9fukPdVt90WLFhwyPtqO4arnictHtTld/H+++87HTp0qHHbfvOb36zz+a4u+7IqO7ZOOumkWvfvt7/9bWf//v0Vn6kt1hnbNtWdr82kSZPq9DuOmTp16mHf//DDD9fpu9YWB/7whz84mZmZNS4jIyPDvUaIt2vXLucrX/lKres2ePDgSrG2puNk48aNTo8ePSqm5+TkVDoH1KS2Y7Km/VDT/lu5cqVz1FFHVUzv2rWr8+mnnzb4PHc4W7dudS666KLDztMe6enpzpIlS9zPXXvttRXTLSbF1rGqu+66q9I8li1bVuPxUHXb/ec//6kU7+x8XZ2dO3dWOjcPHz680uuH+60AAIDaNa5KDQAAERHfnYH1Cx3r2qIqq3UXX9Ouvl1WJYLVMrYWJddff707+KjVXrdukazlyaxZs9zag/bcK9blwvLly92av1bb1Gr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xAkCyYnyL5EPMAAA0KKmxdetWHThwQB06dKg03Z6vWrWq2s+sXbtWr7/+uq644gp3HI01a9bohz/8ofbv368pU6ZU+5ni4mL3EbNz504FQeEHhWUjb6VKe/L3qGRHidLaMBY7gOghXgAAiBcAgKDdYwS1PApA9HSfMcLDuecr2Xle4l5aWuqOp/HYY4+5LTP69++vzz77TDNmzKgxqTF16lTdc889ChLHcbQrb5fUTMo5O0cFiwrcJEeb89r4vWoAEAhRiRcAgMYJS7zo8dZiv1cBAEKvvjEjGeNF3ZVImivpZUkbJGVKOk7SrZJ6+b1yAOBfUqNt27ZuENi0aVOl6fY8Nze32s907NjRHUsjvqupXr16aePGjW7TwfT09EM+Y91b2WDk8Znxrl27JvXJfO/avSrZXqLsk7LVanArFbxRoMI8khqIpvMnfh7hXDGCFy8AAH4hXgAAkilmBPv+wrqKf13S0ZLGlRf5LSm/iyapASDCSQ072VtWe9GiRRo+fHhF1tue33jjjdV+ZvDgwZo7d677Pht/w3zyySduYKmugMpkZGS4jyCdzAuXFLp/s47LkrPfUUbXDBV/Wqw9a/coq3uWgoJBpYEw8L+GTrDiRXD6X7YeDgEgTKIcL5AM/L9mApBcMSO48eLD8jKwIyTNkRTrNeQ7tpV8XjcASILupyxjPXr0aA0YMEADBw7UrFmzVFRUpDFjxrivjxo1Sp07d3ab7Jnrr79ev/jFL3TzzTdr3Lhx+te//qX7779fN910k8JyMi8tLlXRiiL3/9vmb3MfMdYFVZCSGkBYnbV9iT4rPdg3arxLMtpresvjFR7JUUMnGeJFSq88ecUhwwAfReuchrBLhniBqEqOayYAdUfMqMmK8r/94srAYsqSOWGxf/t+bZi2wa3xldUzSx2v7ej3KgEIQlLjsssu05YtWzR58mS3uV6fPn20YMGCioGa1q9fX5H9NtZM77XXXtOtt96qU045xb0hsRuQiRMnKiwn86LlRXL2Ocrula2WA1uWTXSkzXM3u6+VDi9Vanq4gkiiHTggPfK09OR8afU6yQ6xLh2kc0+XZk/2e+0QBJNbdNcelWpT6T5NLVqnNilpmnJED/e1LqlWKy8skqeGTjDiRThEfYCwKIrOOQ1RQLxA1K+ZANQdMQNWedhtwp4q7cnfo5IdJUpr4/mQwQhIRa38i9Y2wZohCBr0q7dmfTU17XvzzTcPmTZo0CC9++67CvUJVXITGi1OblEx3bqi2r1yt5vYaDmgPNmBBhk5QXr+NenYLtLdN0g5raRlq6QXFpLUQN2cm3GU+ze/ZLemap2yU5rpoox2IaxJnVw1dIgXQHjOadHiR5c00e4Gh3iBxEuuayZvRfv8gvAdR8keM/yplNk7LmFbICkn7rXS0JzXHMfRrrxdUjMp5+wcFSwqcMvk2pxX9TyOIKCiFhojpKnMxJ7MO13fqdrpuWOrH6gqrBcWXlmcV5bQsETGe/OkdkcefG3aBD/XDKgdARoAgsqPLmnoBgeAVzi/gOMo/JUy+0r6avn1y1hJl9ooJOXXL1+RdKHCYO/avSrZXqLsk7LVanArFbxRoMI8khpBRUUtNEZIkxrROJlH5QL13WVlf4f0P5jQ2Lrj4OuZ6VLz5v6sG5B8AToaNXQAIFxd0tANDpB4Ublm4vwCjqPoVMq0saeeKa/0+nB5OZhVeu2usChcUljRM4qz31FG1wwVf1qsPWv3MJ5tE2HMEgRFSJMa0TiZR/UCdW+x1O6Mg89ffUy6YIifawQkkygldQEgLF3SRKkbHCBZROWaifMLOI6iUynTivhGlz8SJXG9h5QWl6poRZH7/23zt7mPGOuCKqt7VpMuL6oYswRBEeKkhh8n80SLxgXqoD5lfxcvlbbtkNq0lhY+Lk2YLi1frdAhK47Gi0JSFwAAoLG4ZgLgrfBXykxc7yE2Xq2zz1F2r2x3TFuXI22eu9l9rXR4qVLTw1MW5gfGLEGQhDipgbAY3E8acYH03AJp0OXSdSOltjnSrt0KpURmxf0ZyBrei0JSF0BTO3/i555tVLutDQ4/uqSJSjc4CAJ/Brj1SxSumTi/gOMokaJVKTOxvYe4ZSWSm9BocXKLiunWFdXulbvdxEbLAeXJjnroufUhecVJomXWBWOWeItKzE2LpEagRecCde4MaWBv6cmXpEkzpcwMqWuuNO570iknhGcQ9kRnxaM4kHWPtGytaXum36sBAE2Cc1pYuqSJSjc4CAJ/BriFdzi/gOMokaJVKTOxvYd0ur5TtdNzx+Y2+bKiijFLwlOJOQrYcoEWnQvUtDTptrFljzAPwp7orLg/A1kDAJDs/OiSJrHLpLUmkm+A2/Dz73dHN1veSXxFOP9wHCV3pUwguGOWRKGill9de+3fvl8bpm1wkylZPbPU8dqOCguSGoHHhUWYBmEnKx5OUQjQQDIU3FBIi2B3SZPYZUaxtSaSfYDb8PPvdxeFbrb8kviKcP7hOEruSpl+iE7vIVHAmCXe8qtrr8IQtw4Jx7eINC4swjIIu59ZcQAIQ8GNX4VF0ep/HmFBa03URfgHuE0sfndh409FuGi1DkFyi07vIVHg1ZglKN++Swortqez31FG1wwVf1qsPWv3eFbe53jQOmRN25vlnbfq9W6SGqgXasF6J2pZ8TA3gQMOL/w3o34U3PhVWET/8wDCIloD3KKhUnrlebbxnMaMcBuBinDRax2C5EfvIWHBmCXe8asS816fWockCkkN1Et0uipIfDPKqGXFw9wEDjg8bkbDgv7nAYRJtAa4BYLIr9YhQE3oPQRI1krMhT60DkkkShBRL9FpMp34ZpRRyor7NUASkBytJrgZDRP6nwcQNgxwCyTzeAJ+tQ4BAASpEnNpBLq4J6kB1Cg6zSgTPZB12JvAIWgS3WqCm9Ewo/95AEEXnQFugcZiPAEAQHJWYi6KQBf3JDWAWn8eo8sfaEphbwKHIKHVBBqH/ucbp8dbizkEAQABluiKcH60DgEABE1hBLq4J6kBIKGi0AQOQeJHqwluRsOE/ucRdIlurQmA3124JLoiHK1DAACHF4Uu7klqAEioKDSBA2oXrZtRPwpME71M+p8Hgq/n1oc8m7fTiM8eOCA98rT05Hxp9TopNVXq0kE693Rp9uQmXEkAARKdbpIBwAtcX4UDSQ0ACRWFJnAIEr9aTfhzM7p/+35tmLbBLWHL6pmljtd29HR5URGl/uc5hoDEGjlBev416dgu0t03SDmtpGWrpBcWktQAootukoFoKLHqU+X3jBskZZbfM97q0diP0cH1VTiQ1ECD0FUBGioKTeAQJH61mvDnZtRNKlqV4VRpT/4elewoUVobLgXAMQQko8V5ZQkNS2S8N09qd+TB16ZN8HPNAACA9yaV36ceLWlc+T2k3afmk9RoBK6vwoM+XgAAEWetJm6S1Ky81YQ9toauCb/jONqVt8v9mjnn5LjJjVjLKYBjCEg+7y4r+zuk/8GExtYdZY/ifdL+/b6uHgAA8MyH5QmNIyTNkfRdSd+RNEPS19nujcD1VXhQPbOO1t7+nHd74TbvZg0AOJxoNOHfu3avSraXKPukbLUa3EoFbxSoMK9Qbc6rOkA6wDEEJKO9xVK7Mw4+f/Ux6YIhCgTupQAAwZborqBWlP/tJ6nq/Rr105tSkK+voi6QSQ1nZX8v5+7hvAEA8EfhksKK8Wuc/Y4yumao+NNi7Vm7R1nds9gt4BgCksygPmV/Fy+Vtu2Q2rSWFj4uTZguLV/t99oBibWm7c0ezv0tD+cNIBzoCiosuL4Kj0AmNQAgqrihQ0OUFpeqaEWR+/9t87e5jxjrgoqkBjiGgOQzuJ804gLpuQXSoMul60ZKbXOkXbv9XjMAQKJ1nzHCw7nbGA2oe1dQsZYT1h1UqUcbrnfcsgsk5cS9VhqY1ho9tz7k6fwbUi2d66vwaNCvYPbs2erWrZsyMzN12mmn6f3336/T55599lmlpKRo+PDhDVksACBgiBfJoWh5kZx9jrJ7ZavD6A5lj1EdlJKW4r5Wus+ri3GEBccQEoGYcai5M6QZt0sZ6dKkmdK4+6SsDGnc96RTTuC4BBBNxAsklh9dQfWV9FWrgiZpbHnXV89LmmgdJHm0zOjg+iqiLTXmzZun8ePH69FHH3UTGrNmzdKwYcO0evVqtW/fvsbP/fvf/9Ztt92mIUPomAwAooB4kTxiA4K3HNhSLU5uUTHduqLavXK3W2DdckBLH9cQyY5jCF4jZlQvLU26bWzZAwBAvECUTJX0TPk4Hg9LSi8fx6O73ysWeFxfeees7Uv0WWlxta9dktFe01se719SY+bMmbr66qs1ZswY97klN1555RXNmTNHd955Z7WfOXDggK644grdc889euutt1RQYE2ngDL5Q870bFP02MJWhnfOn/i5Z/MOQwNg4kXy6HR9p2qn547NTfi6IJj8OoYOHJAeeVp6cr60ep2Umip16SCde7o0e7Kni0aCETPQ1BiHEQgn4kW4/fWB6q85m8RtQesKyopsR5c/gGCY3KK79qhUm0r3aWrROrVJSdOUI3q4r3VJzWzSZdXrl7dv3z7l5eVp6NChB2eQmuo+f+edd2r83E9/+lO3FccPfvCDOi2nuLhYO3furPQAAAQH8QJAUxg5Qbp1mvRFoXT3DdLMiWUJjRcWsn3DJBExg/sLAAg+4gX8QVdQQF2dm3GULspop7Obl3XVlp3SzH1ujz7Nm7Z3iHq11Ni6davb6qJDhw6VptvzVatWVfuZxYsX6/HHH9dHH31U5+VMnTrVbdUBAMkwAFVDBp+KOuIF0Dic06TFedLzr0k5raT35kntjjy4faZN4AgLk0TEDO4vACD4kiFepPTKk5ccbj6TFF1BAcmm3t1P1UdhYaGuvPJK/eY3v1Hbtm3r/LlJkya543bEWEuNrl27erSWQGKsvf05bxdQQ1PKHm8t9na5QBMgXgCo6t1lZX+H9D+Y0Ni64+DrmelS8+ZstyhqSMzg/gJhtabtzR7O/S0P5w14j3iBpkNXUECgkxp209CsWTNt2rSp0nR7npt7aJ/K+fn57gDhF198ccW00tLS8kFZ0tzBxXv0KOtXK15GRob7AAAEE/ECQFPbWyy1O+Pg81cfky4YEozt3H3GCA/nHvxRmBIRM7i/AIDgI14AABqU1EhPT1f//v21aNEiDR8+vOIGwp7feOONh7z/xBNP1IoVKypN+8lPfuJmyx966CFaXwBASBEvADTWoD5lfxcvlbbtkNq0lhY+Lk2YLi1f3fD5kmBIPsQMANEbbN5dgpJFUGIj8QJI0t5DGjwIOxrjrw90ivQ+rXf3U9Yt1OjRozVgwAANHDhQs2bNUlFRkcaMGeO+PmrUKHXu3NnthzAzM1Mnn3xypc/n5OS4f6tOR6IvopLnAgpAOBEvADTG4H7SiAuk5xZIgy6Xrhsptc2Rdu1mu4YRMQMAQLwAAHiW1Ljsssu0ZcsWTZ48WRs3blSfPn20YMGCioGa1q9fr9TU1PrOFgAQMsQLBGnwbEO6P/nMnSEN7C09+ZI0aaaUmSF1zZXGfU865QS/1w7RixkldlRKelnSBhvZRdJxkm6V1MvndQOAaAhGvACAaOuRlq01bc9MvoHCraup6rqbMm+++Watn33iiScaskgkyPkTP/ds3sHv8RlAfUUxXgSl+T4QBGlp0m1jyx4Iv+SPGZMkvS7paEnjym+llpSfm0lqAECiJH+8CAfua4C6y79oLZsrwRqU1ACA2nAyBwAA4fJheULjCElzJLUpn/4dG2XQ53UDAAAAoiWUSY0DB6RHnpaenC+tXidZy8MuHaRzT5dmT/Z77QAAibKm7c0ezv0tRZmXLfsMbVKAxuE32tRWlP/tF5fQiAlONyc9Xu7u6fzzT/R09gCAWuzfvl8bpm1w+1TN6pmljtd2ZHshAOjeEw0TyqTGyAnS869Jx3aR7r5BymklLVslvbDQ66QGP8Sg8Lag00S7sBP+OWv7En1WWlzta5dktNf0lscnfJ2AoEvplefZvB0G8gAAAEATKPygsGyQuFRpT/4elewoUVqbUBb7IVTo3hMNE7qz2+K8soSGJTLemye1O/Lga9MmeL10fogA/DW5RXftUak2le7T1KJ1apOSpilH9HBf65JqA5oCAID66x3XDVWBpJy410oD1VoD3um59SHP5k0OHECt5wjH0a68XVIzKefsHBUsKnCTHG3Oq9q6EEgmdO+JhgtdUuPdZWV/h/Q/mNDYuuPg65npUvPmXiyZHyIA/5sAn5txlPs3v2S3pmqdslOa6aKMduwaAAAapa+kr5aPq2Ej118qKb18oPCvSLqQ7Qug0ZyV/T3eiqTHwmrv2r0q2V6i7JOy1WpwKxW8UaDCvPAlNcLSM4G3v/Ug/c7D0b0n/BG6pEZVe4uldmccfP7qY9IFQ7xYEj9EBFO0xqBJfBdxNAEG4B26vQQSa6qkZ8qvIx4uT2rYdYS341TAG9G6Bm5a3WeM8HDujKoFNEThkkL3b9ZxWXL2O8romqHiT4u1Z+0eZXXPCs1GpWcCAKFNagzqU/Z38VJp2w6pTWtp4ePShOnS8tV+rx2QfAVU/o1B44fEdhFHE2AAQTqn5V+01pO1BMLDfmOjyx8IumhdAwMIs9LiUhWtKHL/v23+NvcRX8kuTEkNeiYIG7r3RMOFLqkxuJ804gLpuQXSoMul60ZKbXOkXbu9XjI/RK+EpXlhMha6+zsGTaIlvou4qDQBBuAHur0EgIaK1jUwgLArWl4kZ5+j7F7ZajmwZdlER9o8d7P7WunwUqWm05UPkhHde6LhQpfUMHNnSAN7S0++JE2aKWVmSF1zpXHfk045waul8kP0SnSaFya+gMq/MWj8kPgu4qLSBBiAH+j2EgAaKlrXwPAS3ZghGbhdHktuQqPFyS0qptt96O6Vu93ERssB5ckOIOnQvScaJpRJjbQ06baxZY8w/xCjcgEVneaF/hdQJW4MmvCLUhNgAACAIOMaGA1FN2ZIhm6lO13fqdrpuWNz2UEIALr3RMOEMqkRlR8iF1BorGiNQZPYLuL8bgLcIy1ba9qe6dn8kVwYCyGKg2fT7SUANFS0roHhFboxQ7J0Kw3goJReeZ5uDsdhaycLkhoBxQVUGCW+gMq/MWj8kNgu4mgCjNrs375fG6ZtcBNdWT2z1PHajmywJhOVm0i6vQwjzg0IqzVtb/Zw7m/V+xNRugaO1viEiRW1bsyIUXXFuGcAkAgkNQIqahdQ0eBPAZUfY9D413Va4rqIowkwDpv0shoeqdKe/D0q2VGitDaE5MaL2k0k/c+GDecGIOzjMCZedMYn9F/YuzEjRgWnW+koJLuasmeC7jNGyDtWsQqAFyhBCYmwX0BFR+ILqPwYg8a/rtPoqxH+1150HEe78nZJzaScs3NUsKjAvUlsc17Vmx7UX7RuIsNwTvOyeXjQmoZzboieHi97d31n8k9s+GejUCPbv3EYEys64xMmXpS6MSNGoSYkuwD4JYx3+JG8gEpvXnYBFaZaRdEUK6B6ztrjSPqHpMdD1WVK1a7T7rhKuuY7ZcmMfy3we+0QNVZ7cVbLEzSpxbHuc6u9aM/t8d1Mbwpw9q7dq5LtJco+IVutBrdyI3FhXqEnywIQHJwbkOyFVACq78Zsxxdl3ZjNekr6fHM4uzEjRjWmW+l4peFNdp2T48aNWDfMAOA1WmoEVJT6gfVj4GP6nvUOXach6rUXC5eUXehnHZclZ7+jjK4ZKv60WHvW7lFW9yxPlx1+DJ6N4OLcgGRBjWyg7qLSjRkxqj6iM+5ZRbLrpLLKWgVvFLiVtWiBDoRXj7cWK1mQ1AiwqFxA+YG+ZxOHrtMQJaXFpSpaUeT+f9v8be4jxmo1kdQI8k2k1WKeW9594AYb3aq8+8BbQ9XaDt7g3IBkQiEVUHdR6MaMGNUQ0Rj3jGQXAD+R1AiwKFxA+YW+Z70Tpb5ngaqKlhfJ2ecou1e2Wg5sWTbRkTbP3ey+Vjq8VKnp9AwZzJvISeXJlKMljSu/xFpSPjggSQ3UjnMDkgmFVADiEaOiOe7Z4ZDsAuA3khoAEiqKXacBMbE+Zi2h0eLkFhXTrSuq3St3uzeNLQeUJzsQoJvID8sTGkdImhM3SPl3Qtd3MrzBuQHJgkIqJKtk6u4iaohRqA7JLgB+I6kBIOHoOg1R1en6TtVOzx2bm/B1QVNaUf63X1xCI4aWNzg8zg1IFhRShVcixydEuBCjUB2SXQD8RlIDQOJPPHSdBgAAkHQopAIA1AXJLgB+I6kBAIg8ai+icXrHdUNVICkn7jXrforWGgCCgUIqAAAABEGD7rJnz56tbt26KTMzU6eddpref//9Gt/7m9/8RkOGDFGbNm3cx9ChQ2t9PwAgPIgXiIa+kr5qdZwljbVO9iQ9L2mipFf9XjkgMIgZAADiBQDAk6TGvHnzNH78eE2ZMkVLly7VqaeeqmHDhmnz5s3Vvv/NN9/U5ZdfrjfeeEPvvPOOunbtqvPPP1+fffZZfRcN+FZ7++9HfpmtD9QT8QLRMlXSTZKaSXq4/LFVUne/VwwIBGIGAIB4AQDwrPupmTNn6uqrr9aYMWPc548++qheeeUVzZkzR3feeech73/mmWcqPf/tb3+rF154QYsWLdKoUaPqu3gAQEAQLxC9S6rR5Q8AQYsZzsr+Hu40x8N5A0C0+B0vANRd9xkjPN5c+R7PH6FJauzbt095eXmaNGlSxbTU1FS3SylrhVEXu3fv1v79+3XkkUfW+J7i4mL3EbNz585Kr/d42btaj/knejZrAIiMZIkXAIDkl4iYQbwAgOCLcrzIv2it36sAAMFNamzdulUHDhxQhw4dKk2356tWrarTPCZOnKhOnTq5QacmU6dO1T333FOfVQOASOjx1mIFAfECAJBMMYP7CwAIPuJF+PXc+pBn86bdJBDx7qcaY9q0aXr22WfdcTZskPGaWNbdxu2Iz4zbWBwA6o+WTQgi4gUAr1DTMZoxg/sLAADxAkCY9AhIpdekSGq0bdtWzZo106ZNmypNt+e5ubm1fvZnP/uZG0D+9re/6ZRTTqn1vRkZGe4jmaxpe7OHc3/Lw3kjGseQifZx5Edf2BSM1SzK8QJoCvTvjyhJRMwgXkRP/pAzPZt3jy2ezRpALYgXAIAGJTXS09PVv39/d0Cl4cOHu9NKS0vd5zfeeGONn5s+fbruu+8+vfbaaxowYEB9FgkACCDiBQCAmAEA4B4DSA5UmoKi3v2UdQs1evRoNzkxcOBAzZo1S0VFRRozZoz7+qhRo9S5c2e331rzwAMPaPLkyZo7d666deumjRs3utOPOOII94HkQs1zAE2FeAEA/gnaNR0xA0CUuvE1+Sd6OvvQIl4ASEa0EA1AUuOyyy7Tli1b3ESFJSj69OmjBQsWVAzst379eqWmpla8/1e/+pX27dunSy+9tNJ8pkyZorvvvrspvgMAIAkRLxCs2kXuEjyeP4CaEDMAAHVBvAAANHigcOtqqqbupmyAvnj//ve/2dINFJUsX8+tD3k2b4qnAH8RLwAAxAxEBV17AInBPQaCzsuWYLQCQ1Q0KKkBAADC0eULEJPSK8+zjeFQywAAQuOvD3Tybua3KdLo8goAgLohqQGgyVEwBoQfyRsACB5PC6NNxAukAYRf9xkjPF5CvsfzB4BwIKkBAAit8yd+7tm8ud0AAKBuery1mE0FAAFDJSYAyYykBgAAAAAk2Nrbn/N2AbSaAADgsEje/H/27gU+ivre//87IeSGgUQDhJsFIhU8oNwKAqK2oNCqpxyPVKgKhdZWD1LkYpFeQI/HBqFysJaW2kq1f6VStUKLFeWgtHAExaCAp4KSUOGnAnKJhCQEwu7/8Z1NSJCgJOzszHzn9Xw8hmVns3Pb2fns9/uZ7/frvWMHjmnX7F3OwLgZF2SozffaeL1JCABrkxp8IQCE1fHj0sNPSI8vk7btkJKTpfatpSGXSgtmer11cEPR4MtcO7D5H7u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      "text/plain": [
       "<Figure size 1600x1000 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot all 16 learned motif detectors\n",
    "fig, axes = plt.subplots(4, 4, figsize=(16, 10))\n",
    "fig.suptitle('All 16 Learned Motif Detectors — Which ones look like GATA?',\n",
    "             fontsize=14, fontweight='bold')\n",
    "\n",
    "for i in range(16):\n",
    "    ax = axes[i // 4, i % 4]\n",
    "    plot_filter_logo(filters[i], title=f'Filter {i}', ax=ax)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68cd9fa2",
   "metadata": {
    "id": "6DkGelBhrK98"
   },
   "source": [
    "### 🔍 Group Discussion (3 min)\n",
    "\n",
    "1. Which filter(s) look most like the GATA motif (`AGATAAGG`)?\n",
    "2. Do any filters look like they've learned the *reverse complement*?\n",
    "3. Why did the model learn multiple related but different filters?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40c8617b",
   "metadata": {
    "id": "6Bh78uEjrK98"
   },
   "source": [
    "## 4.2 — Activation Mapping: Where Does the CNN Fire?\n",
    "\n",
    "For a single sequence, we can extract the **intermediate activations** from the conv layer to see *where* along the sequence each filter fires strongly. This is the CNN's way of saying \"I found the motif here.\"\n",
    "\n",
    "You'll implement the function that hooks into the model's internals."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "bee5840b",
   "metadata": {
    "id": "xg5olTJXrK98"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True motif position: 61\n",
      "Strongest filter: 13, fires at position: 57\n",
      "Match: NO ❌\n"
     ]
    }
   ],
   "source": [
    "# ──────────────────────────────────────────────────────────────\n",
    "# ACTIVATION MAPPING — implement the extraction function\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "\n",
    "def get_activations(model, x_tensor):\n",
    "    \"\"\"\n",
    "    Extract post-ReLU activations from the conv layer.\n",
    "\n",
    "    YOUR TASK: Run x through conv and relu only (not pooling or FC).\n",
    "\n",
    "    Args:  x_tensor — shape (1, 4, L), already on correct device\n",
    "    Returns: numpy array of shape (n_filters, L')\n",
    "    \"\"\"\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        h = model.conv(x_tensor) #The convolution applies all learned filters across the sequence\n",
    "        h = model.relu(h) #then aply the relu funcion\n",
    "    return h.squeeze(0).cpu().numpy()   # (n_filters, L')\n",
    "\n",
    "\n",
    "# Pick a positive test example\n",
    "test_indices = list(range(n_train, len(y)))\n",
    "pos_test = [i for i in test_indices if y[i].item() == 1.0]\n",
    "example_idx = pos_test[0]\n",
    "true_pos = motif_positions[example_idx]\n",
    "\n",
    "x_example = X[example_idx].unsqueeze(0).to(device)\n",
    "acts = get_activations(model, x_example)  # (16, L')\n",
    "\n",
    "# Find the most responsive filter\n",
    "best_filter = np.argmax(acts.max(axis=1))\n",
    "best_position = np.argmax(acts[best_filter])\n",
    "\n",
    "print(f'True motif position: {true_pos}')\n",
    "print(f'Strongest filter: {best_filter}, fires at position: {best_position}')\n",
    "print(f'Match: {\"YES ✅\" if abs(true_pos - best_position) <= 2 else \"NO ❌\"}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7d13dced",
   "metadata": {
    "id": "CzXWAhSLrK98"
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize: sequence, activation trace, and the learned filter\n",
    "\n",
    "fig, axes = plt.subplots(3, 1, figsize=(14, 8),\n",
    "                         gridspec_kw={'height_ratios': [1, 2.5, 1]})\n",
    "\n",
    "# Panel 1: One-hot input\n",
    "ax = axes[0]\n",
    "ax.imshow(X[example_idx].numpy(), aspect='auto', cmap='Blues', interpolation='nearest')\n",
    "ax.set_yticks([0,1,2,3]); ax.set_yticklabels(['A','C','G','T'])\n",
    "ax.axvline(true_pos, color='red', ls='--', lw=2, label=f'Motif @ pos {true_pos}')\n",
    "ax.axvline(true_pos + len(TARGET_MOTIF), color='red', ls='--', lw=2)\n",
    "ax.legend(fontsize=8, loc='upper right')\n",
    "ax.set_title('Input Sequence (one-hot)', fontweight='bold')\n",
    "\n",
    "# Panel 2: Activation trace of the best filter\n",
    "ax = axes[1]\n",
    "trace = acts[best_filter]\n",
    "ax.fill_between(range(len(trace)), trace, alpha=0.3, color='steelblue')\n",
    "ax.plot(trace, color='steelblue', lw=2)\n",
    "ax.axvline(true_pos, color='red', ls='--', lw=2, label='True motif')\n",
    "ax.set_ylabel('Activation'); ax.set_title(f'Filter {best_filter} Activation', fontweight='bold')\n",
    "ax.legend(); ax.grid(alpha=0.3)\n",
    "\n",
    "# Panel 3: The learned filter\n",
    "plot_filter_logo(filters[best_filter], title=f'Filter {best_filter} weights', ax=axes[2])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4965c76b",
   "metadata": {
    "id": "YdVqDMeKrK98"
   },
   "source": [
    "## 4.3 — Mutation Map: Predicting Variant Effects\n",
    "\n",
    "This is DeepBind's killer application (see Figure 4 of the paper). For every position in a sequence, we ask: *how would each possible single-nucleotide mutation change the predicted binding score?*\n",
    "\n",
    "$$\\Delta S_{i,j} = f(s^{\\text{mut}}) - f(s^{\\text{wt}})$$\n",
    "\n",
    "where $s^{\\text{mut}}$ has base $j$ at position $i$. This directly tells a clinician: **\"this SNV would destroy the binding site.\"**\n",
    "\n",
    "Implement the mutation map computation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ffb98adb",
   "metadata": {
    "id": "k1A4SjtzrK98"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wild-type binding probability: 0.9615\n"
     ]
    }
   ],
   "source": [
    "# ──────────────────────────────────────────────────────────────\n",
    "# MUTATION MAP — implement the core computation\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "\n",
    "def compute_mutation_map(model, x_onehot, device):\n",
    "    \"\"\"\n",
    "    Compute how every possible SNV affects the binding prediction.\n",
    "\n",
    "    Args:\n",
    "        x_onehot: numpy array of shape (4, L) — original one-hot sequence\n",
    "\n",
    "    Returns:\n",
    "        mutation_map: (4, L) array of Δ(binding probability) for each mutation\n",
    "        wt_prob: wild-type binding probability\n",
    "    \"\"\"\n",
    "    model.eval()\n",
    "    L = x_onehot.shape[1]\n",
    "\n",
    "    # ── Wild-type score ──\n",
    "    x_wt = torch.tensor(x_onehot, dtype=torch.float32).unsqueeze(0).to(device) #Converts the original sequence into a PyTorch tensor and adds the batch dimension\n",
    "    with torch.no_grad():\n",
    "        wt_prob = torch.sigmoid(model(x_wt)).item() #Passes the original sequence through the model and converts its output into a binding probability\n",
    "\n",
    "    # ── Score every single mutation ──\n",
    "    mutation_map = np.zeros((4, L))\n",
    "\n",
    "    for pos in range(L):\n",
    "        for base in range(4):\n",
    "            # YOUR TASK: Create the mutant sequence and score it\n",
    "            x_mut = x_onehot.copy()\n",
    "            x_mut[:, pos] = 0        # clear the position\n",
    "            x_mut[base, pos] = 1     # set the new base\n",
    "\n",
    "            x_mut_t = torch.tensor(x_mut, dtype=torch.float32).unsqueeze(0).to(device)\n",
    "            #Converts the mutant into the shape required by the CNN\n",
    "            with torch.no_grad():\n",
    "                mut_prob = torch.sigmoid(model(x_mut_t)).item()\n",
    "                #Calculates the mutant’s predicted binding probability\n",
    "\n",
    "            mutation_map[base, pos] = mut_prob - wt_prob\n",
    "\n",
    "    return mutation_map, wt_prob\n",
    "\n",
    "\n",
    "x_oh = X[example_idx].numpy()\n",
    "mut_map, wt_prob = compute_mutation_map(model, x_oh, device)\n",
    "print(f'Wild-type binding probability: {wt_prob:.4f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "add72e02",
   "metadata": {
    "id": "aiBsvPYMrK99"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Green lines = true motif boundaries\n",
      "Blue = mutation would DECREASE binding | Red = mutation would INCREASE binding\n"
     ]
    }
   ],
   "source": [
    "# ──────────────────────────────────────────────────────────────\n",
    "# VISUALIZE THE MUTATION MAP (DeepBind Fig. 4 style)\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "\n",
    "# Zoom into the region around the motif\n",
    "pad = 15\n",
    "start = max(0, true_pos - pad)\n",
    "end = min(SEQ_LEN, true_pos + len(TARGET_MOTIF) + pad)\n",
    "region = mut_map[:, start:end]\n",
    "\n",
    "fig, axes = plt.subplots(2, 1, figsize=(16, 6),\n",
    "                         gridspec_kw={'height_ratios': [3, 1]})\n",
    "\n",
    "# Heatmap\n",
    "ax = axes[0]\n",
    "vmax = np.max(np.abs(region))\n",
    "im = ax.imshow(region, aspect='auto', cmap='RdBu_r', vmin=-vmax, vmax=vmax,\n",
    "               interpolation='nearest')\n",
    "ax.set_yticks([0,1,2,3]); ax.set_yticklabels(['A','C','G','T'])\n",
    "\n",
    "# x-axis: show the actual bases\n",
    "base_map = {0:'A', 1:'C', 2:'G', 3:'T'}\n",
    "seq_str = ''.join([base_map[np.argmax(x_oh[:, i])] for i in range(start, end)])\n",
    "ax.set_xticks(range(end - start))\n",
    "ax.set_xticklabels(list(seq_str), fontfamily='monospace')\n",
    "\n",
    "# Mark true motif boundaries\n",
    "ms = true_pos - start\n",
    "me = ms + len(TARGET_MOTIF)\n",
    "ax.axvline(ms - 0.5, color='lime', lw=2)\n",
    "ax.axvline(me - 0.5, color='lime', lw=2)\n",
    "ax.set_title(f'Mutation Map — WT P(bind) = {wt_prob:.3f}', fontweight='bold')\n",
    "plt.colorbar(im, ax=ax, label='Δ P(bind)', shrink=0.8)\n",
    "\n",
    "# Position importance (max |Δ| at each position)\n",
    "ax = axes[1]\n",
    "importance = np.max(np.abs(region), axis=0)\n",
    "ax.bar(range(len(importance)), importance, color='steelblue', alpha=0.7)\n",
    "ax.axvline(ms - 0.5, color='lime', lw=2)\n",
    "ax.axvline(me - 0.5, color='lime', lw=2)\n",
    "ax.set_ylabel('Max |Δ|')\n",
    "ax.set_title('Position Importance', fontweight='bold')\n",
    "ax.set_xlim(-0.5, len(importance) - 0.5); ax.grid(alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "print('Green lines = true motif boundaries')\n",
    "print('Blue = mutation would DECREASE binding | Red = mutation would INCREASE binding')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d078ff7c",
   "metadata": {
    "id": "cXRtmHATrK99"
   },
   "source": [
    "### 🔍 Group Discussion (5 min) — The Big Interpretability Questions\n",
    "\n",
    "1. **Does the mutation map correctly highlight the motif region?** Do the most sensitive positions fall within the green lines?\n",
    "\n",
    "2. **Clinical application:** Suppose a patient carries a SNV at one of the dark-blue positions. What does the mutation map tell you about the functional consequence?\n",
    "\n",
    "3. **DeepBind Figure 4 connection:** The paper showed how SNVs in the *TERT* promoter create GABP-α binding sites, driving cancer. Our mutation map does the same thing — in reverse, showing which mutations would *destroy* a GATA site. How would you use this for variant prioritization in whole-genome sequencing data?\n",
    "\n",
    "4. **Beyond PWMs:** What can this CNN-based approach tell you that a simple PWM scan cannot?  \n",
    "   *Hint: Think about the FC layer and what it means for the model to learn combinatorial rules across multiple filters.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d8922a8",
   "metadata": {
    "id": "yMIGreSdrK99"
   },
   "source": [
    "## 4.4 — Quantitative Filter–Motif Comparison\n",
    "\n",
    "Since we know the ground-truth motif, let's measure how well the CNN recovered it. In real applications, you'd compare against databases like JASPAR or HOCOMOCO."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16870aaa",
   "metadata": {
    "id": "PaFSTG7rrK99"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filter ranking by correlation with GATA motif:\n",
      "---------------------------------------------\n",
      "  #1  Filter  1  r = 0.988\n",
      "  #2  Filter 13  r = 0.988\n",
      "  #3  Filter  9  r = 0.961\n",
      "  #4  Filter 12  r = 0.283\n",
      "  #5  Filter  3  r = 0.198\n",
      "\n",
      "Best match: Filter 1 (r = 0.988)\n"
     ]
    }
   ],
   "source": [
    "# ──────────────────────────────────────────────────────────────\n",
    "# COMPARE LEARNED FILTERS TO GROUND TRUTH — fill in\n",
    "# ──────────────────────────────────────────────────────────────\n",
    "\n",
    "true_pwm = one_hot_encode(TARGET_MOTIF)   # (4, motif_len)\n",
    "motif_len = len(TARGET_MOTIF)\n",
    "K_filter = filters.shape[2]\n",
    "\n",
    "def best_correlation(filt, true_pwm):\n",
    "    \"\"\"\n",
    "    Slide the true motif across the filter and find the best Pearson correlation.\n",
    "    YOUR TASK: implement the sliding alignment.\n",
    "    \"\"\"\n",
    "    best_r = -1\n",
    "    #Starting at -1 so next one replaces it\n",
    "    ml = true_pwm.shape[1]\n",
    "    #If the target motif is AGATAAGG, then ml = 8\n",
    "    for offset in range(filt.shape[1] - ml + 1): #This tries every valid alignment of the motif within the filter\n",
    "        segment = filt[:, offset:offset+ml] #Both segment and true_pwm now have shape (4, 8)\n",
    "        # Center both matrices\n",
    "        a = segment - segment.mean()\n",
    "        b = true_pwm - true_pwm.mean()\n",
    "        #This subtracts the average value from every element. Centering focuses the comparison on the pattern of relative weights rather than their overall magnitude.\n",
    "        r = np.sum(a * b) / (np.linalg.norm(a) * np.linalg.norm(b) + 1e-8)\n",
    "        #This compares the centered learned segment with the centered true motif\n",
    "        best_r = max(best_r, r)\n",
    "    return best_r\n",
    "\n",
    "\n",
    "# Score all 16 filters\n",
    "correlations = [best_correlation(filters[i], true_pwm) for i in range(16)]\n",
    "ranking = np.argsort(correlations)[::-1]\n",
    "\n",
    "print('Filter ranking by correlation with GATA motif:')\n",
    "print('-' * 45)\n",
    "for rank, idx in enumerate(ranking[:5]):\n",
    "    print(f'  #{rank+1}  Filter {idx:2d}  r = {correlations[idx]:.3f}')\n",
    "\n",
    "top_filter = ranking[0]\n",
    "print(f'\\nBest match: Filter {top_filter} (r = {correlations[top_filter]:.3f})')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7b3e38b7",
   "metadata": {
    "id": "0uH0IRG5rK99"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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jP/6jmK+til01ns352qR9rpPz9RPdtfP1r4x7+eWXiwRxbVED0L5J2gLtSt784YILLigShRk4ZYIvk7i1gUlWY2bCNW8+lgFMJgSzv2peQpRnrkePHr3O18gz1nkp0qrVDrWyyvOII46IE088sWg1kK+ZZ8CzsjeXpwzms9IgK1Uz+Zt9uprSqysrXg855JDi/TXWIiErHvLyquypm1Ub9R133HHFjS7y7HqOzec+97liyp5W2TNt4MCBxfvKRGwGeBnoNfX51tRPuLYqIC/Xqq2orZU93fK1Mhj+n//5n6J9QQbFq1ZVZLuEXC+TtlnpkP268r1nP+O8dDCrIrIaNysLavcxnyP7omVCOS8TGzduXPGHSlYWZy/ifF+rVncAADRFxo61N6qqlXFMXsKeCdk8OZ59YzM+ytZceVI673WQMWSud8UVVxSVt1lEkDFia8h2A3nD3IzP8mR5xr4Z72SsmW0G8jL57GGbcVGe1M6YNK+myr6n60tj8W5T9rM5cnzzNbJnbLYBqP1cslAik8aNyZZaWaHaFPkZNuW+GSljzYxX82+AvOFxxp1507UsfqhN7DYWy2fMmttm8UnGs1lQkX+r1N6bIeP2PHby75QsXMgq5DzO8r4PteOVMe9//dd/FcfgqaeeWvydkzdrzpMHecO5+kn6LGBpalsMoOQqACVwzTXXVPr06VM3f+edd2YPhMpzzz232rrjx4+v9O/fv1j/jDPOqJxyyimVgw46qO7xlStXViZNmlTZZZddKhtttFFlq622qowcObLy29/+do2vn9ufdtppa3x88ODBlQkTJtTNP/vss5Vjjz222IdevXoVz//oo4822Oakk06qbLnllsX7qN12++23r3zzm9+sW+eII46ojB49um7+8ccfL9bP99+YCy+8sNK3b9/K8uXLV3ts2bJlxWOXXHJJ3bIpU6ZUDj744GI/cyze8IY3VI4++ujK3Xff3aLnW3Wc3v/+91fe9773Nbqvf/rTn4r38uc//7my5557Vj7zmc80ul7uY48ePSoLFiwo5hctWlQZN25cZdddd63U1NQU47vXXntVvvjFL1aeeeaZBts+8sgjxfjl++revXvxPt/xjndUvvvd71ZeeeWVRl8PAGBNMq7I+GXV6YQTTigez3jvAx/4QBEjZYyS8crpp59exJ/pjjvuqOy2225FDJPxy/Tp04vtb7rppgax3gMPPLDa62ZcWF/GXPVj3IzXMg4eNGhQEddts802xb785S9/qVvnqquuKuKi3LfDDz+8iPXqx9iNqb9/9a26r43F543Fu+vaz1Xj/rXJ99/Y55H7tiYZL/bs2bMya9asumW5bxnPVyuf+6ijjqpssskmlc0226wyZsyYypIlS9Yay5911lnF3y45FjvvvHPloosuqjteat17772VQw89tLLFFltUNt1008rb3va2ym233dZgnV/96leVAw44oBi7zTffvPKud72rMmPGjAbrfPKTn6x86lOfqvp9AuXQJf/T1oljAAAAgNaQVamLFy8urorrLLJnblbv3nfffbHDDju09e4ArUATQAAAAKDDyHs15A3h6vd77ejyRmV5PwsJW+g4VNoCAAAAAJSISlsAAAAAgBKRtAUAAAAAKBFJWwAAAACAEpG0BQAAAAAokXaRtK1UKrF48eLiJwAAtDfiWQAAOlzSdsmSJdGnT5/iJwAAtDfiWQAAOlzSFgAAAACgs5C0BQAAAAAoEUlbAAAAAIASkbQFAAAAACgRSVsAAAAAgBKRtAUAAAAAKBFJWwAAAACAEpG0BQAAAAAoEUlbAAAAAIASkbQFAAAAACgRSVsAAAAAgBKRtAUAAAAAKBFJWwAAAACAEpG0BQAAAAAoEUlbAAAAAID2nLT93e9+F4cffnhsu+220aVLl7j55pvXuc306dNjn332iZqamnjTm94U1157bUv3FwAAqiKeBQCgwyVtly5dGoMHD47Jkyc3af3HH388DjvssHjnO98ZDz74YJx++unxiU98Im6//faW7C8AAFRFPAsAQNl1qVQqlRZv3KVL3HTTTXHkkUeucZ2zzjorbr311nj44Yfrln30ox+NRYsWxdSpU5v0OosXL44+ffrE888/H5tttllLdxcAABoQzwIA0Cl72s6YMSNGjBjRYNnIkSOL5QAAUHbiWQAANrTu6/sFnn766ejfv3+DZTmf1bMvvfRS9OrVa7Vtli1bVky1cl0AAGgL4lkAADpc0rYlJk6cGOeee26zttnpwp2iM5t95uzqn2RWl+jUdm1xp5BCZz8GW+M4nL3VgdHZ7bTg99Vt38mPw2qPwc4+fq3yfdLZv0ta4fuk049hteNXEuLZlvH/oFYgpq2KeLZ64tnqiWnbdvwKnT2mFc+WIqZd7+0RBgwYEPPmzWuwLOezN21jVbZp3LhxRf/a2unJJ59c37sJAACNEs8CANDhKm2HDx8et912W4Nld9xxR7F8TWpqaooJAADamngWAIANrdmVti+88EI8+OCDxZQef/zx4t9z586tq5I97rjj6tY/6aSTYs6cOfH5z38+Zs2aFZdeemn86Ec/ijPOOKM13wcAADSJeBYAgA6XtL3vvvti7733LqY0duzY4t/jx48v5v/973/XJXDTDjvsELfeemtRXTt48OC46KKL4nvf+16MHDmyNd8HAAA0iXgWAIAO1x7h4IMPjkplzc10r7322ka3eeCBB5q/dwAA0MrEswAAlN16vxEZAAAAAABNJ2kLAAAAAFAikrYAAAAAACUiaQsAAAAAUCKStgAAAAAAJSJpCwAAAABQIpK2AAAAAAAlImkLAAAAAFAikrYAAAAAACUiaQsAAAAAUCKStgAAAAAAJSJpCwAAAABQIpK2AAAAAAAlImkLAAAAAFAikrYAAAAAACUiaQsAAAAAUCKStgAAAAAAJSJpCwAAAABQIpK2AAAAAAAlImkLAAAAAFAikrYAAAAAACUiaQsAAAAAUCKStgAAAAAAJSJpCwAAAABQIpK2AAAAAAAlImkLAAAAAFAikrYAAAAAACUiaQsAAAAAUCKStgAAAAAAJSJpCwAAAABQIpK2AAAAAADtPWk7efLkGDRoUPTs2TP222+/uOeee9a6/qRJk2KXXXaJXr16xcCBA+OMM86Il19+uaX7DAAAVRHPAgDQoZK2U6ZMibFjx8aECRPi/vvvj8GDB8fIkSNj/vz5ja5//fXXx9lnn12s//e//z2uuuqq4jm+8IUvtMb+AwBAs4hnAQDocEnbiy++OE488cQYM2ZM7L777nH55ZdH79694+qrr250/T/+8Y9xwAEHxNFHH11U5x566KFx1FFHrbM6FwAA1gfxLAAAHSppu3z58pg5c2aMGDHi9Sfo2rWYnzFjRqPb7L///sU2tUnaOXPmxG233Rbve9/71vg6y5Yti8WLFzeYAACgWuJZAADag+7NWXnhwoWxYsWK6N+/f4PlOT9r1qxGt8kK29zu7W9/e1QqlXj11VfjpJNOWmt7hIkTJ8a5557bnF0DAIB1Es8CANBhb0TWHNOnT4/zzjsvLr300qIH7k9/+tO49dZb4ytf+coatxk3blw8//zzddOTTz65vncTAAAaJZ4FAKDUlbb9+vWLbt26xbx58xosz/kBAwY0us0Xv/jFOPbYY+MTn/hEMb/nnnvG0qVL45Of/GT893//d9FeYVU1NTXFBAAArUk8CwBAh6u07dGjRwwdOjSmTZtWt2zlypXF/PDhwxvd5sUXX1wtMZuJ35TtEgAAYEMRzwIA0OEqbdPYsWNj9OjRse+++8awYcNi0qRJReXsmDFjisePO+642G677Yq+tOnwww8v7tC79957x3777RePPfZYUX2by2uTtwAAsKGIZwEA6HBJ21GjRsWCBQti/Pjx8fTTT8eQIUNi6tSpdTcnmzt3boPK2nPOOSe6dOlS/Hzqqadiq622KhK2X/va11r3nQAAQBOIZwEA6HBJ23TKKacU05pu1NDgBbp3jwkTJhQTAACUgXgWAIAO09MWAAAAAID1S9IWAAAAAKBEJG0BAAAAAEpE0hYAAAAAoEQkbQEAAAAASkTSFgAAAACgRCRtAQAAAABKRNIWAAAAAKBEJG0BAAAAAEpE0hYAAAAAoEQkbQEAAAAASkTSFgAAAACgRCRtAQAAAABKRNIWAAAAAKBEJG0BAAAAAEpE0hYAAAAAoEQkbQEAAAAASkTSFgAAAACgRCRtAQAAAABKRNIWAAAAAKBEJG0BAAAAAEpE0hYAAAAAoEQkbQEAAAAASkTSFgAAAACgRLq39Q4AAADQub3y7Cvx5PlPRlQier2pV2zzqW3aepcAoE1J2gIAANCmlty3pEjY5rWgL81+KV597tXovrk/V6E9cfIFWpf2CAAAAC20YkXEpOsi9v5gRO+9IzYZGrHr+yJO/rIhbapKpRIvzHwholtE33f2LZK3RRIXaPcnX2g63yesyqlLAACAFvro5yJ+fHvEDm+I+NLJEX03i/jzrIif3BExebxhbYqX57wcrz77avTevXdsdsBmsejORbFk5pLY/N2bG8AmOOjZe+OplcsafeyDNVvHNzZ9s3FsAlWirXjy5eC+sWjaoiKJ6/e46XyftE7i+9s/iLjulohHHo/o2jXiDf0jDnlb+/xOlrQFAIBOTKKi5e6a+VrCNhO1f5oSsdUWrz92/uda49PpHJbc+1pVba+de0XllUrUDKyJZU8si5fmvBS9duzV1rtXeuM33jFeipUxb+XymLj08di8S/eYsMlOxWNv6NqzrXev3dCiozpOvlTH90nr+GgHO5EqaQsAAJ2YREXL3f3n134eOPT1hO3C515/vGePiI02qu7z6ehWLlsZSx9aWvz7mVueKab6x6ak7bodUrNl8XP2qy/GxHg8enfpFu+v2Wq9fWYdkSrR6jn5Uh3fJ9W7qwOeSG1RT9vJkyfHoEGDomfPnrHffvvFPffcs9b1Fy1aFCeffHJss802UVNTE29+85vjtttua+k+AwBAVcSzr9FLtHW9vCxiq/1fn6bd3cov0AEt/cvSqCyvRO/dekf/0f1fm47rH126dykeW7l8ZVvvIp2pSnSX11p0ZKYkW3TQspMvT058sqiWT/pTt/CY9H3SaonvnJYtj3jllej4SdspU6bE2LFjY8KECXH//ffH4MGDY+TIkTF//vxG11++fHm8+93vjn/+85/x4x//OB555JG48sorY7vttmuN/QcAgGYRz75OoqI6w4e89vOu+yOeeS6ix0YRd1wVsdcufimbqjahs+mwTWPjPTZ+bdpz49daJSyrFIlbaIsq0VefebVo0cG6OflSPd8nre/lDpD4bnZ7hIsvvjhOPPHEGDNmTDF/+eWXx6233hpXX311nH322autn8ufffbZ+OMf/xgb/d+1QVmlCwAAbUE8+zqXs1bngH0iPvyeiBunRgw/KuKkj0b06xvxwotVPnEnsu2nt210+YDjB2zwfaFz0qKj9U++1Mok+It/f7FI6m6676at8Eodl++T1k98b97ntROpn/tGxF8eiXapWUnbrJqdOXNmjBs3rm5Z165dY8SIETFjxoxGt/nZz34Ww4cPL9oj3HLLLbHVVlvF0UcfHWeddVZ069at0W2WLVtWTLUWL17cnN0EAIBGiWdfJ1HROq6/IGLYnhHX3Rwx7uKInjURAwdEnPoxFbfQ3qpEM+lYqETMv37+ay06jlwZXXu0qLNkp+HkS+vwfVKdAzrgidRmJW0XLlwYK1asiP79+zdYnvOzZs1qdJs5c+bEb37zmzjmmGOKPraPPfZYfOYzn4lXXnmlaLHQmIkTJ8a5557bnF0DAIB1Es++TqKidXTvHnHm8a9NQPujSpSy8H1Sves72InUZrdHaK6VK1fG1ltvHVdccUVRWTt06NB46qmn4oILLlhj0jYrebNvbv1K24EDB67vXQUAgE4Tz0pUQMeyU/fe8Vi/t7f1brQ7qkSh4+jewU6kNitp269fvyJQnTdvXoPlOT9gQOM9h7bZZpuil239Vgi77bZbPP3008XlaT169Fhtm5qammICAIDWJJ59nUQFAEB5NasxSyZYs7Jg2rRpDSoPcj771jbmgAMOKFoi5Hq1Hn300SKZ21jCtr155dlXYs7n58Sc/5oT//7uv9t6d9qdFSsiJl0XsfcHI3rvHbHJ0Ihd3xdx8pfbes/aD8dgdQ569t5408K7Gp0+v+TRVvqUOj7HofFrS75LjGFziGcBAGgPmt1NOy/zuvLKK+O6666Lv//97/HpT386li5dGmPGjCkeP+644xrcqCwff/bZZ+O0004rkrW33nprnHfeecWNyTqC4rKyymsj+dLsl+LV515t611qVz76uYgzzo94fknEl06OuPisiEPeFvGTO9p6z9oPx2B1xm+8Y0zadJcYt/EOxfzmXboX8zkd3XObVvmMOgPHofFrS75LjGFziWcBAOhwPW1HjRoVCxYsiPHjxxctDoYMGRJTp06tuznZ3Llzo2vX13PB2bvr9ttvjzPOOCP22muv2G677YoE7llnnRXtXaVSiRdmvhDRLaLvwX1j0bRFReJi83dv3ta71i7cNTPix7dH9N0s4k9TIrba4vXHzv9cW+5Z++EYrN4hNVsWP2e/+mJMjMejd5du8f6arVrhmTsPx6Hxa0u+S4xhS4hnAQDokDciO+WUU4qpMdOnT19tWbZOuPvuu6OjeXnOy/Hqs69G7917x2YHbBaL7lwUS2ZK2jbV3X9+7eeBQ19P2C587vXHe/aI2Gij1v7UOhbHIGXgODR+bcl3iTFsKfEsAAAdqj0Cr1ty75LiZ6+de0XllUrUDKyJV595NV6a85JhaoGXl0Vstf/r07SOl+dvdY5BysBxaPzKxHeJMQQAgI5A0raFVi5bGUsfWlr8+5lbnoknJz4Zy55Y9npvR9Zp+JDXft51f8Qzz0X02Cjijqsi9trF4DkGaS/8v9D4tTXfJcYQAAA6oha1RyBi6V+WRmV5JXrv1js2Hbbpa0NSiZh//fzisZVHroyuPeTE1+aAfSI+/J6IG6dGDD8q4qSPRvTrG/HCi46wpnAMUgaOQ+PX1nyXGEMAAOiIJG1bqLaaNhO2G++xcd3ybJXw4t9fLBIZm+77f8lc1uj6CyKG7Rlx3c0R4y6O6FkTMXBAxKkfU3HrGKQ98P9C41cGvkuMIQAAdDSSti207ae3bXT5gOMHVPN5dDrdu0ecefxrE83jGGxdO3XvHY/1e7vD0HG4Qfk9bh2+S4whAAB0NK7fBwAAAAAoEUlbAAAAAIASkbQFAAAAACgRSVsAAAAAgBKRtAUAAAAAKBFJWwAAAACAEpG0BQAAAAAoEUlbAAAAAIASkbQFAAAAACgRSVsAAAAAgBKRtAUAAAAAKBFJWwAAAACAEpG0BQAAAAAoEUlbAAAAAIASkbQFAAAAACgRSVsAAAAAgBKRtAUAAAAAKBFJWwAAAACAEpG0BQAAAAAoEUlbAAAAAIASkbQFAAAAACgRSVsAAAAAgBKRtAUAAAAAKBFJWwAAAACAEpG0BQAAAABo70nbyZMnx6BBg6Jnz56x3377xT333NOk7W644Ybo0qVLHHnkkS15WQAAaDViWgAAOkzSdsqUKTF27NiYMGFC3H///TF48OAYOXJkzJ8/f63b/fOf/4wzzzwzDjzwwGr2FwAAqiamBQCgQyVtL7744jjxxBNjzJgxsfvuu8fll18evXv3jquvvnqN26xYsSKOOeaYOPfcc2PHHXesdp8BAKAqYloAADpM0nb58uUxc+bMGDFixOtP0LVrMT9jxow1bvflL385tt566zjhhBOq21sAAKiSmBYAgLLr3pyVFy5cWFTN9u/fv8HynJ81a1aj29x1111x1VVXxYMPPtjk11m2bFkx1Vq8eHFzdhMAANo0phXPAgCwwW9E1lRLliyJY489Nq688sro169fk7ebOHFi9OnTp24aOHDg+txNAABo1ZhWPAsAwAartM0gtVu3bjFv3rwGy3N+wIABq60/e/bs4gZkhx9+eN2ylStXvvbC3bvHI488EjvttNNq240bN6642Vn9SluJWwAAWsOGiGnFswAAbLCkbY8ePWLo0KExbdq0OPLII+sC1pw/5ZRTVlt/1113jYceeqjBsnPOOaeoVrjkkkvWmIitqakpJgAAaG0bIqYVzwIAsMGStikrYEePHh377rtvDBs2LCZNmhRLly6NMWPGFI8fd9xxsd122xWXhPXs2TP22GOPBtv37du3+LnqcgAA2FDEtAAAdKik7ahRo2LBggUxfvz4ePrpp2PIkCExderUuhs5zJ07N7p2Xa+tcgEAoCpiWgAAOlTSNuVlY41dOpamT5++1m2vvfbalrwkAAC0KjEtAABlpSQWAAAAAKBEJG0BAAAAAEpE0hYAAAAAoEQkbQEAAAAASkTSFgAAAACgRCRtAQAAAABKRNIWAAAAAKBEJG0BAAAAAEpE0hYAAAAAoEQkbQEAAAAASkTSFgAAAACgRCRtAQAAAABKRNIWAAAAAKBEJG0BAAAAAEpE0hYAAAAAoEQkbQEAAAAASkTSFgAAAACgRCRtAQAAAABKRNIWAAAAAKBEJG0BAAAAAEpE0hYAAAAAoEQkbQEAAAAASkTSFgAAAACgRLq39Q4AAABQDrPfP6etdwEAUGkLAAAAAFAuKm0BAAAAOggV89Ax6GkLAAAAAFAikrYAAAAAACUiaQsAAAAAUCJ62gIAAB3CTr/YMTq72bu29R4AtH9ddpsZnVml0tZ7QJK0BQAAgFaw0+/vMo5Apzf7wLd3+jHYaUEbJW0nT54cF1xwQTz99NMxePDg+Pa3vx3Dhg1rdN0rr7wyvv/978fDDz9czA8dOjTOO++8Na4PAAAbgpgWoHxmv39OW+8CQPvsaTtlypQYO3ZsTJgwIe6///4iaTty5MiYP39+o+tPnz49jjrqqLjzzjtjxowZMXDgwDj00EPjqaeeao39BwCAZhPTAgBQZs2utL344ovjxBNPjDFjxhTzl19+edx6661x9dVXx9lnn73a+j/84Q8bzH/ve9+Ln/zkJzFt2rQ47rjjqtl3AABokTLGtL/6+rat8jzt2pltvQMAAO2w0nb58uUxc+bMGDFixOtP0LVrMZ9VtE3x4osvxiuvvBJbbLHFGtdZtmxZLF68uMEEAACtYUPEtOJZAAA2WNJ24cKFsWLFiujfv3+D5Tmf/W2b4qyzzoptt922QZC8qokTJ0afPn3qpmypAAAArWFDxLTiWQAANmhP22qcf/75ccMNN8RNN90UPXv2XON648aNi+eff75uevLJJzfkbgIAQFUxrXgWAIAN1tO2X79+0a1bt5g3b16D5Tk/YMCAtW574YUXFgHur3/969hrr73Wum5NTU0xAQBAa9sQMa14FgCADVZp26NHjxg6dGhxw4VaK1euLOaHDx++xu2+8Y1vxFe+8pWYOnVq7LvvvlXtMAAAVENMCwBAh6q0TWPHjo3Ro0cXyddhw4bFpEmTYunSpXV33s2752633XZFH6/09a9/PcaPHx/XX399DBo0qK5P2CabbFJMAACwoYlpAQDoUEnbUaNGxYIFC4pEbCZghwwZUlTQ1t7IYe7cucXdd2tddtllxR16P/ShDzV4ngkTJsSXvvSl1ngPAADQLGJaAAA6VNI2nXLKKcXUmOnTpzeY/+c//9myPQMAgPVITAsAQIfoaQsAAAAAQAkrbQEAAOh4Zh/49ujMdlrQ1nsA1euy28xOPYyVSlvvAbQOlbYAAAAAACWi0hYAAOgQfvX1bdt6F9remW29AwBAa1BpCwAAAABQIiptAQAAoBXs9IsdO/04zt61uiHo7H2Vk97Kbe+xfqdF5/b7qrY+9Kx/RWc3uxWeQ9IWAABKYKff39XWuwAAQEl0mKTt7DNbI4fdye3qFovVcAxWb6cF1Z3Nw3FYLb/HrcB3iTEEAACqpqctAAAAAECJSNoCAAAAAJSIpC0AAAAAQIlI2gIAAAAAlIikLQAAAABAiUjaAgAAAACUiKQtAAAAAECJSNoCAAAAAJSIpC0AAAAAQIlI2gIAAAAAlEj3tt4BAAAAyuFNCy+JzqzS1jsAAP9H0hYAAOgQOnvCMUk6Ao/1O62TD8Lv23oHoFVI2gIAAADA/zn0rH916rGYXeX2c/7rxlbak3bszOqfQtIWAABKoMtuM6OzqygTpZ2TqKg+UaFiXsU88Bo3IgMAAAAAKBFJWwAAAACAEpG0BQAAAAAoEUlbAAAAAIASkbQFAAAAACgRSVsAAAAAgBKRtAUAAAAAKBFJWwAAAACA9p60nTx5cgwaNCh69uwZ++23X9xzzz1rXf/GG2+MXXfdtVh/zz33jNtuu62l+wsAAK1CTAsAQIdJ2k6ZMiXGjh0bEyZMiPvvvz8GDx4cI0eOjPnz5ze6/h//+Mc46qij4oQTTogHHnggjjzyyGJ6+OGHW2P/AQCg2cS0AACUWZdKpVJpzgZZWfvWt741vvOd7xTzK1eujIEDB8app54aZ5999mrrjxo1KpYuXRq/+MUv6pa97W1viyFDhsTll1/epNdcvHhx9OnTJ55//vnYbLPNmrO7AADQ5jFtU+LZLl3u7/SfVKWyT1VjYAzDGFbJMVg9Y9j2Yzh7qwOjM9tpwe+rf44Ld4rObPaZs6va3vdxVP17nLo3Z+Xly5fHzJkzY9y4cXXLunbtGiNGjIgZM2Y0uk0uz8rc+rIy9+abb17j6yxbtqyYamVwWxvsAgDApptuGl26dGnRQGyImLZl8ewL0dlVH+8bQ2PoGGxrjsG2H8MlK1+Nzqw1ckcrX14ZnZnf4w0zhuuKZ5uVtF24cGGsWLEi+vfv32B5zs+aNavRbZ5++ulG18/lazJx4sQ499xzV1ue1Q8AAFDNFVgbIqYVz7ZMnz4t3BBj2Eocg8awDByHBrCt9fmiL+QN8Xu8rni2WUnbDSWrHupXMuTlas8++2xsueWWLa6oWN/Z80woP/nkk9o3GEPHYTvl99gYloHj0Pi1tfZ0DGZlQpm1t3i2vX3+ZWT8jGEZOA6NX1tzDBrDMljcTmKadcWzzUra9uvXL7p16xbz5s1rsDznBwwY0Og2ubw566eamppiqq9v375RdnkglPlgaA+MoTFsa45BY1gGjkPj19Y6+jG4IWLa9hrPdobPf30zfsawDByHxq+tOQaNYRls1s5jmq7NWblHjx4xdOjQmDZtWoOqgZwfPnx4o9vk8vrrpzvuuGON6wMAwPokpgUAoOya3R4hL/MaPXp07LvvvjFs2LCYNGlScSfdMWPGFI8fd9xxsd122xV9vNJpp50WBx10UFx00UVx2GGHxQ033BD33XdfXHHFFa3/bgAAoAnEtAAAdKik7ahRo2LBggUxfvz44sYLQ4YMialTp9bdmGHu3LnF3Xdr7b///nH99dfHOeecE1/4whdi5513Lu6yu8cee0RHkZe+TZgwYbVL4DCGjsP2w++xMSwDx6Hxa2ud6RgU03buz399MH7GsAwch8avrTkGjWEZ1HSQmKZLpVKptPVOAAAAAADQgp62AAAAAACsX5K2AAAAAAAlImkLAAAAAFAikrYAAAAAACUiadsKJk+eHIMGDYqePXvGfvvtF/fcc09rPG2n8Lvf/S4OP/zw2HbbbaNLly5x8803t/UutSsTJ06Mt771rbHpppvG1ltvHUceeWQ88sgjbb1b7cpll10We+21V2y22WbFNHz48PjlL3/Z1rvVbp1//vnF7/Lpp5/e1rvSbnzpS18qxqz+tOuuu7b1brU7Tz31VHzsYx+LLbfcMnr16hV77rln3HfffW29W+1GxjGrHoc5nXzyyW29a2wg4tmWE89WT0xbHfFs6xPTNp+Ytnri2eoM6oDxrKRtlaZMmRJjx46NCRMmxP333x+DBw+OkSNHxvz581vnE+rgli5dWoxZ/qFA8/32t78t/gd09913xx133BGvvPJKHHroocW40jRveMMbiqBs5syZRYLnXe96VxxxxBHx17/+1RA207333hvf/e53iyQ4zfOWt7wl/v3vf9dNd911lyFshueeey4OOOCA2GijjYqTLn/729/ioosuis0339w4NuP3t/4xmN8p6cMf/rAx7ATEs9URz1ZPTFsd8WzrEtO2nJi25cSz1bu3A8azXSqVSqWtd6I9y8rarHT8zne+U8yvXLkyBg4cGKeeemqcffbZbb177UqeAbnpppuKalFaZsGCBUXFbQa+73jHOwxjC22xxRZxwQUXxAknnGAMm+iFF16IffbZJy699NL46le/GkOGDIlJkyYZvyZWJeRVBg8++KDxaqH8vv3DH/4Qv//9741hK8lq+V/84hfxj3/8o/h+pmMTz7Ye8WzrENNWTzzbMmLalhPTVkc82/pO7wDxrErbKixfvryozhsxYsTrA9q1azE/Y8aM1vh8oFmef/75uiCN5luxYkXccMMNRcVMtkmg6bLi+7DDDmvw/0OaLgOJbBOz4447xjHHHBNz5841fM3ws5/9LPbdd9/iLHqeuNp7773jyiuvNIZVxDc/+MEP4vjjj2+3AS5NJ56ljMS0LSeerY6Ytjpi2pYTz7au5R0knpW0rcLChQuLL8X+/fs3WJ7zTz/9dLWfDTRLVnnnmaS8RHiPPfYwes3w0EMPxSabbBI1NTVx0kknFRXfu+++uzFsokx0Z3uY7EdHyyrcrr322pg6dWrRk+7xxx+PAw88MJYsWWI4m2jOnDnF2O28885x++23x6c//en47Gc/G9ddd50xbIGs/F60aFF8/OMfN36dgHiWshHTtox4tnpi2uqIaasjnm1dN3eQeLZ7W+8A0HpnhR9++GG9MFtgl112KS5Nz6qOH//4xzF69OiixYTE7bo9+eSTcdpppxX9gvJmjDTfe9/73rp/Zz/gDHi33377+NGPfqRFRzP+wM9K2/POO6+Yz0rb/P/h5ZdfXvw+0zxXXXVVcVxm9TfAhiambRnxbHXEtNUT01ZHPNu6ruog8axK2yr069cvunXrFvPmzWuwPOcHDBhQ7WcDTXbKKacUvVruvPPO4kYENE+PHj3iTW96UwwdOrSoFs2b411yySWGsQmyRUzeeDH72Xbv3r2YMuH9rW99q/h3Xo1A8/Tt2zfe/OY3x2OPPWbommibbbZZ7STLbrvtps1ECzzxxBPx61//Oj7xiU84/joJ8SxlIqZtOfFsdcS0rU9M2zzi2dbzRAeKZyVtq/xizCTPtGnTGpwdyXn9MNkQ8j6CGdzm5fy/+c1vYocddjDwrSB/j5ctW2Ysm+CQQw4pLsfLSuXaKSsesy9r/jtPbNH8G2DMnj27CNxommwL88gjjzRY9uijjxYVyzTPNddcU/QFzh7VdA7iWcpATNv6xLPNI6ZtfWLa5hHPtp5rOlA8qz1ClcaOHVtceplJimHDhhV3S8+bGI0ZM6Z1PqFO8D/y+tVk2csxEz15I603vvGNbbpv7eXyseuvvz5uueWW2HTTTet6Kffp0yd69erV1rvXLowbN664bCKPt+whmuM5ffr0oi8m65bH3ao9lDfeeOPYcsst9VZuojPPPDMOP/zwIsH4r3/9KyZMmFAku4866iiHYBOdccYZsf/++xftET7ykY/EPffcE1dccUUx0bw/8DPIzbgmK+XpPMSz1RHPVk9MWx3xbPXEtNUT01ZHPNs6Vna0eLZC1b797W9X3vjGN1Z69OhRGTZsWOXuu+82qk105513VvIwXHUaPXq0MWyCxsYup2uuucb4NdHxxx9f2X777Yvf36222qpyyCGHVH71q18ZvyocdNBBldNOO80YNtGoUaMq22yzTXEMbrfddsX8Y489Zvya6ec//3lljz32qNTU1FR23XXXyhVXXGEMm+n2228vvkMeeeQRY9cJiWdbTjxbPTFtdcSz64eYtnnEtNUTz1bv9g4Wz3bJ/7R14hgAAAAAgNfoaQsAAAAAUCKStgAAAAAAJSJpCwAAAABQIpK2AAAAAAAlImkLAAAAAFAikrYAAAAAACUiaQsAAAAAUCKStgAAAAAAJSJpCwAAAABQIpK2AAAAAAAlImkLAAAAAFAikrYAAAAAAFEe/x+ly2Cm9SfIfgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1400x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Side-by-side comparison: true motif vs best learned filter\n",
    "fig, axes = plt.subplots(1, 2, figsize=(14, 3))\n",
    "\n",
    "plot_filter_logo(true_pwm, title=f'True Motif: {TARGET_MOTIF}', ax=axes[0])\n",
    "\n",
    "# Align and trim the best filter to the motif length\n",
    "filt = filters[top_filter]\n",
    "best_off = 0\n",
    "best_r = -1\n",
    "for off in range(filt.shape[1] - motif_len + 1):\n",
    "    seg = filt[:, off:off+motif_len]\n",
    "    a, b = seg - seg.mean(), true_pwm - true_pwm.mean()\n",
    "    r = np.sum(a*b) / (np.linalg.norm(a)*np.linalg.norm(b) + 1e-8)\n",
    "    if r > best_r:\n",
    "        best_r, best_off = r, off\n",
    "\n",
    "aligned = filt[:, best_off:best_off+motif_len]\n",
    "plot_filter_logo(aligned, title=f'Learned Filter {top_filter} (r={best_r:.3f})', ax=axes[1])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e18d7ed",
   "metadata": {
    "id": "1EcMRWHdrK99"
   },
   "source": [
    "### 🔍 Final Group Discussion (3 min)\n",
    "\n",
    "1. How close did the CNN get to recovering the true GATA motif?\n",
    "2. The correlation coefficient gives a quantitative answer — but look at the logo visually too. Are there positions where the model disagrees with the ground truth? Why might that happen?\n",
    "   - *Hint: We used a 15% mutation rate. The model is learning from noisy data.*\n",
    "3. DeepBind trained on hundreds of real ChIP-seq datasets achieved AUCs above 0.9 (Figure 3e of the paper). What aspects of real data make the problem harder or easier than our synthetic setup?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6771bad1",
   "metadata": {
    "id": "sNh1pFeLrK99"
   },
   "source": [
    "---\n",
    "# Wrap-Up: Key Takeaways (5 min)\n",
    "\n",
    "## What We Built Today\n",
    "\n",
    "You implemented the full DeepBind pipeline end-to-end:\n",
    "\n",
    "**Data** → One-hot DNA with embedded GATA motifs  \n",
    "**Model** → `Conv1d(4→16, K=12)` → `ReLU` → `GlobalMaxPool` → `Dropout` → `FC(16→1)`  \n",
    "**Training** → BCE loss + Adam, ~20 epochs  \n",
    "**Interpretation** →\n",
    "- Filter logos reveal learned motifs\n",
    "- Activation maps show *where* the CNN detects them\n",
    "- Mutation maps predict *which SNVs disrupt binding* — directly clinically relevant\n",
    "\n",
    "## Connections to Lecture Material\n",
    "\n",
    "- **Channels**: Our 4 input channels (A/C/G/T) and 16 output channels (motif detectors) follow Figure 5 from the notes\n",
    "- **Receptive field**: Our single-layer model has RF = K = 12bp. DeepSEA stacks layers to reach longer-range regulatory grammar.\n",
    "- **Residual Networks** (next lecture): solve the vanishing gradient problem that arises when you stack many conv layers\n",
    "- **DanQ = CNN + biLSTM**: adds recurrent layers after the CNN to capture how motifs are *arranged* relative to each other\n",
    "\n",
    "## References\n",
    "\n",
    "- Alipanahi, B., et al. (2015). *Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning.* Nature Biotechnology, 33(8), 831–838.\n",
    "- Koo, P.K. & Eddy, S.R. (2019). *Representation learning of genomic sequence motifs with convolutional neural networks.* PLOS Computational Biology.\n",
    "- Zhou, J. & Troyanskaya, O.G. (2015). *Predicting effects of noncoding variants with deep learning–based sequence model.* Nature Methods.\n",
    "- Understanding Deep Learning, Chapter 10."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73fd9239",
   "metadata": {
    "id": "81blHI0ZrK99"
   },
   "source": [
    "---\n",
    "\n",
    "## Solutions\n",
    "\n",
    "<details>\n",
    "<summary><b>Click to reveal all solutions</b> (attempt the exercises first!)</summary>\n",
    "\n",
    "### Exercise 1 (Convolution on DNA)\n",
    "```python\n",
    "scores_M1[i] = np.sum(S[i:i+K] * M1)\n",
    "scores_M2[i] = np.sum(S[i:i+K] * M2)\n",
    "```\n",
    "\n",
    "### Exercise 2 (Pooling + FC)\n",
    "```python\n",
    "z1 = np.max(relu_M1)\n",
    "z2 = np.max(relu_M2)\n",
    "logit = np.dot(W_fc, z) + bias_fc\n",
    "```\n",
    "\n",
    "### Exercise 3 (Parameters & receptive field)\n",
    "```python\n",
    "conv_params = K * C_I * C_O + C_O   # 12*4*16 + 16 = 784\n",
    "L_out = L - K + 1                    # 89\n",
    "pool_dim = C_O                       # 16\n",
    "fc_params = C_O + 1                  # 17\n",
    "rf = n_layers * (K - 1) + 1\n",
    "```\n",
    "For a 50-bp receptive field with $K=8$, solve $n(8-1)+1 \\geq 50$: **7 layers** are needed, giving an RF of 50 bp.\n",
    "\n",
    "### Data generation\n",
    "```python\n",
    "seq_with_motif, pos = embed_motif(bg, motif)\n",
    "sequences.append(one_hot_encode(seq_with_motif))    # positive\n",
    "labels.append(1)\n",
    "positions.append(pos)\n",
    "sequences.append(one_hot_encode(seq))               # negative\n",
    "labels.append(0)\n",
    "positions.append(None)\n",
    "```\n",
    "\n",
    "### DataLoaders\n",
    "```python\n",
    "train_loader = DataLoader(TensorDataset(X_train, y_train), ...)\n",
    "test_loader  = DataLoader(TensorDataset(X_test, y_test), ...)\n",
    "```\n",
    "\n",
    "### DeepBind model\n",
    "```python\n",
    "self.conv = nn.Conv1d(in_channels=4, out_channels=n_filters, kernel_size=kernel_size, padding=0)\n",
    "self.fc = nn.Linear(n_filters, 1)\n",
    "\n",
    "# forward:\n",
    "x = self.conv(x)\n",
    "x = self.relu(x)\n",
    "x = torch.max(x, dim=2)[0]\n",
    "x = self.dropout(x)\n",
    "x = self.fc(x)\n",
    "```\n",
    "\n",
    "### Evaluate function\n",
    "```python\n",
    "logits = model(X_batch)\n",
    "loss = criterion(logits, y_batch)\n",
    "probs = torch.sigmoid(logits)\n",
    "```\n",
    "\n",
    "### Training loop\n",
    "```python\n",
    "optimizer = optim.Adam(model.parameters(), lr=1e-3)\n",
    "criterion = nn.BCEWithLogitsLoss()\n",
    "\n",
    "optimizer.zero_grad()\n",
    "logits = model(X_batch)\n",
    "loss = criterion(logits, y_batch)\n",
    "loss.backward()\n",
    "optimizer.step()\n",
    "```\n",
    "\n",
    "### Activation extraction\n",
    "```python\n",
    "h = model.conv(x_tensor)\n",
    "h = model.relu(h)\n",
    "```\n",
    "\n",
    "### Mutation map\n",
    "```python\n",
    "x_mut = x_onehot.copy()\n",
    "mut_prob = torch.sigmoid(model(x_mut_t)).item()\n",
    "mutation_map[base, pos] = mut_prob - wt_prob\n",
    "```\n",
    "\n",
    "### Filter-motif correlation\n",
    "```python\n",
    "segment = filt[:, offset:offset+ml]\n",
    "r = np.sum(a * b) / (np.linalg.norm(a) * np.linalg.norm(b) + 1e-8)\n",
    "```\n",
    "\n",
    "### Discussion answers\n",
    "\n",
    "**Translational equivariance:** A motif should generate the same feature response wherever it occurs. Shared convolution weights provide this property; position-dependent weights or biases could make an identical motif count at one location but not another. Global max pooling then converts the position-equivariant activation map into a position-independent sequence score.\n",
    "\n",
    "**Learned filters:** The strongest GATA-like filter should have the highest correlation with `AGATAAGG` and should activate near the embedded motif. Because this dataset embeds only the forward motif, learning its reverse complement is not required. Multiple filters may learn partial motifs, mutated variants, background patterns, or redundant versions of the same detector.\n",
    "\n",
    "**Mutation map:** The largest absolute changes should cluster within the embedded motif. A strongly negative change predicts that the SNV disrupts the learned binding site, making it a higher-priority candidate for experimental validation. The result predicts an effect on model score, not a proven clinical consequence.\n",
    "\n",
    "**CNN versus PWM:** A PWM scores one motif independently. A CNN can learn several detectors and combine them through downstream weights, allowing it to represent multiple binding modes and interactions among learned features. In this one-layer, global-max-pooling model, however, most precise spacing information is discarded; deeper or differently pooled architectures are needed for detailed motif grammar.\n",
    "\n",
    "**Recovery quality:** The top filter's correlation and logo show how closely it recovered the planted motif. Disagreements are expected because 15% of embedded bases are randomized, the random background can contain chance matches, and optimization is stochastic. Real genomic data adds experimental noise, class imbalance, chromatin context, indirect binding, and heterogeneous binding modes, but it may also provide many more training sequences and stronger biological signals.\n",
    "\n",
    "</details>"
   ]
  }
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