{ "cells": [ { "cell_type": "markdown", "id": "f072a175", "metadata": {}, "source": [ "# 09 — Interpreting BaseAttentive: Attention Patterns & Feature Importance\n", "\n", "> **Goal**: Go beyond accuracy numbers — extract and visualise *every* internal\n", "> attention signal the model produces to understand *why* it makes each prediction.\n", "\n", "## Scenario — Smart Building Energy Demand Forecasting\n", "\n", "| Modality | Features | Known importance |\n", "|----------|----------|-----------------|\n", "| **Static** | `floor_area`, `building_age`, `insulation`, `bldg_type` | HIGH / LOW / LOW / MOD |\n", "| **Dynamic** | `temperature`, `occupancy`, `humidity`, `wind_speed`, `cloud_cover`, `price_signal` | HIGH / HIGH / MOD / LOW / LOW / LOW |\n", "| **Future** | `hour_sin`, `hour_cos`, `forecast_temp` | HIGH / HIGH / HIGH |\n", "| **Target** | Hourly energy demand for the next 24 h | — |\n", "\n", "Because the target is a **known function** of these inputs, we can verify whether\n", "the model's explanations agree with ground truth.\n", "\n", "## Interpretability Toolkit\n", "\n", "| # | Technique | What it reveals |\n", "|---|-----------|----------------|\n", "| 1 | Variable Selection Networks (VSN) | Per-feature softmax importance weights |\n", "| 2 | Cross-attention heatmaps | Decoder queries × encoder key positions |\n", "| 3 | Hierarchical self-attention | Intra-horizon temporal structure |\n", "| 4 | Multi-head diversity | Specialisation across 4 attention heads |\n", "| 5 | Gradient-based saliency | Which past time steps drive the output |\n", "| 6 | Horizon-dependent attention | How focus shifts across the 24-step horizon |\n", "| 7 | Contrastive analysis | Peak vs off-peak demand attention differences |\n", "| 8 | Integrated gradients | Attribution with zero-baseline comparison |" ] }, { "cell_type": "code", "execution_count": 1, "id": "5a8538ac", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:12:25.845652Z", "iopub.status.busy": "2026-04-21T04:12:25.845652Z", "iopub.status.idle": "2026-04-21T04:12:30.479333Z", "shell.execute_reply": "2026-04-21T04:12:30.477374Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Backend : tensorflow\n", "base_attentive : 2.2.0\n", "Keras : 3.12.1\n" ] } ], "source": [ "import os, warnings\n", "warnings.filterwarnings('ignore')\n", "os.environ.setdefault('BASE_ATTENTIVE_BACKEND', 'tensorflow')\n", "os.environ.setdefault('KERAS_BACKEND', 'tensorflow')\n", "\n", "import keras # must import before base_attentive for Keras 3 backend init\n", "import numpy as np\n", "import tensorflow as tf\n", "import matplotlib.pyplot as plt\n", "import matplotlib.gridspec as gridspec\n", "from matplotlib.colors import LinearSegmentedColormap\n", "\n", "import base_attentive\n", "from base_attentive import BaseAttentive\n", "\n", "# ── Global constants ───────────────────────────────────────────────────────────\n", "LOOKBACK = 48 # hours of past data\n", "HORIZON = 24 # hours to forecast\n", "N_STATIC = 4\n", "N_DYNAMIC = 6\n", "N_FUTURE = 3\n", "OUTPUT_DIM = 1\n", "EMBED_DIM = 48\n", "N_HEADS = 4\n", "EPOCHS = 40\n", "BATCH_SIZE = 32\n", "N_SAMPLES = 256\n", "EXT_BATCH = 32 # samples used for attention extraction\n", "\n", "STATIC_NAMES = ['floor_area', 'building_age', 'insulation', 'bldg_type']\n", "DYNAMIC_NAMES = ['temperature', 'occupancy', 'humidity',\n", " 'wind_speed', 'cloud_cover', 'price_signal']\n", "FUTURE_NAMES = ['hour_sin', 'hour_cos', 'forecast_temp']\n", "\n", "# Ground-truth importance labels (used to colour-code validation charts)\n", "IMPORTANCE = {\n", " 'floor_area': 'HIGH', 'building_age': 'LOW',\n", " 'insulation': 'LOW', 'bldg_type': 'MOD',\n", " 'temperature': 'HIGH', 'occupancy': 'HIGH',\n", " 'humidity': 'MOD', 'wind_speed': 'LOW',\n", " 'cloud_cover': 'LOW', 'price_signal': 'LOW',\n", " 'hour_sin': 'HIGH', 'hour_cos': 'HIGH',\n", " 'forecast_temp': 'HIGH',\n", "}\n", "IMP_COLOR = {'HIGH': '#2ecc71', 'MOD': '#f39c12', 'LOW': '#bdc3c7'}\n", "\n", "print(f'Backend : {os.environ[\"BASE_ATTENTIVE_BACKEND\"]}')\n", "print(f'base_attentive : {base_attentive.__version__}')\n", "print(f'Keras : {keras.__version__}')\n" ] }, { "cell_type": "markdown", "id": "9b1f914c", "metadata": {}, "source": [ "---\n", "\n", "## 1 — Interpretable Synthetic Dataset\n", "\n", "We construct data where the target formula is **known in advance**, letting us\n", "verify that the model's internal representations capture the right signals.\n", "\n", "### Energy demand formula\n", "\n", "```\n", "demand(i, h) =\n", " 4.0 * floor_area_norm(i) # base load ← HIGH\n", " + 2.5 * |forecast_temp(i, h)| # HVAC load ← HIGH\n", " + 3.0 * occupancy_pattern(h) # equipment ← HIGH\n", " + 0.5 * humidity(i, last_step) # humidity ← MOD\n", " + noise\n", "```\n", "\n", "All other features (`wind_speed`, `cloud_cover`, `price_signal`, `building_age`,\n", "`insulation`) do **not** appear in the formula and act as distractors.\n", "A well-trained model should assign them lower importance." ] }, { "cell_type": "code", "execution_count": 2, "id": "0c2e7ab9", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:12:30.483823Z", "iopub.status.busy": "2026-04-21T04:12:30.483823Z", "iopub.status.idle": "2026-04-21T04:12:30.571624Z", "shell.execute_reply": "2026-04-21T04:12:30.570189Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "x_static : (256, 4)\n", "x_dynamic : (256, 48, 6)\n", "x_future : (256, 24, 3)\n", "y_target : (256, 24, 1)\n", "Target range : [1.31, 9.99] (kW normalised)\n" ] } ], "source": [ "rng = np.random.default_rng(42)\n", "\n", "# ── Static features ────────────────────────────────────────────────────────────\n", "floor_area = rng.uniform(0.3, 1.0, N_SAMPLES).astype('float32')\n", "building_age = rng.uniform(0.0, 1.0, N_SAMPLES).astype('float32')\n", "insulation = rng.uniform(0.0, 1.0, N_SAMPLES).astype('float32')\n", "building_type = (rng.integers(0, 4, N_SAMPLES) / 3.0).astype('float32')\n", "x_static = np.stack([floor_area, building_age, insulation, building_type], axis=1)\n", "\n", "# ── Dynamic features (past LOOKBACK hours) ─────────────────────────────────────\n", "t_idx = np.arange(LOOKBACK)\n", "\n", "# Temperature: daily sinusoidal cycle + noise ← HIGH importance\n", "base_temp = 15 + 10 * np.sin(2 * np.pi * t_idx / 24 - np.pi / 2)\n", "temperature = (base_temp[None, :] + rng.normal(0, 2, (N_SAMPLES, LOOKBACK)))\n", "temperature = ((temperature - 15) / 12).astype('float32') # normalise to ~[-1,1]\n", "\n", "# Occupancy: sigmoid business-hours pattern ← HIGH importance\n", "occ_base = np.array([max(0.0, np.sin(np.pi * max(0.0, min(1.0, (h % 24 - 8) / 9))))\n", " for h in t_idx])\n", "occupancy = (occ_base[None, :] + rng.uniform(0, 0.15, (N_SAMPLES, LOOKBACK))).astype('float32')\n", "occupancy = np.clip(occupancy, 0.0, 1.0)\n", "\n", "# Humidity: gentle diurnal cycle ← MOD importance\n", "humidity = (0.6 + 0.15 * np.sin(2 * np.pi * t_idx / 24)[None, :]\n", " + rng.normal(0, 0.05, (N_SAMPLES, LOOKBACK))).astype('float32')\n", "humidity = np.clip(humidity, 0.2, 1.0)\n", "\n", "# Noise / distractors ← LOW importance\n", "wind_speed = rng.uniform(0, 1, (N_SAMPLES, LOOKBACK)).astype('float32')\n", "cloud_cover = rng.uniform(0, 1, (N_SAMPLES, LOOKBACK)).astype('float32')\n", "price_signal = rng.uniform(0, 1, (N_SAMPLES, LOOKBACK)).astype('float32')\n", "\n", "x_dynamic = np.stack(\n", " [temperature, occupancy, humidity, wind_speed, cloud_cover, price_signal], axis=2\n", ") # (N, LOOKBACK, 6)\n", "\n", "# ── Future features (next HORIZON hours) ──────────────────────────────────────\n", "f_idx = np.arange(LOOKBACK, LOOKBACK + HORIZON)\n", "hour_sin = np.sin(2 * np.pi * f_idx / 24)[None, :].repeat(N_SAMPLES, 0).astype('float32')\n", "hour_cos = np.cos(2 * np.pi * f_idx / 24)[None, :].repeat(N_SAMPLES, 0).astype('float32')\n", "fc_temp_raw = 15 + 10 * np.sin(2 * np.pi * f_idx / 24 - np.pi / 2)\n", "forecast_temp = (fc_temp_raw[None, :].repeat(N_SAMPLES, 0)\n", " + rng.normal(0, 1.5, (N_SAMPLES, HORIZON))).astype('float32')\n", "forecast_temp = ((forecast_temp - 15) / 12).astype('float32') # normalise\n", "x_future = np.stack([hour_sin, hour_cos, forecast_temp], axis=2) # (N, HORIZON, 3)\n", "\n", "# ── Target (known formula) ─────────────────────────────────────────────────────\n", "y_target = np.zeros((N_SAMPLES, HORIZON, OUTPUT_DIM), dtype='float32')\n", "for i in range(N_SAMPLES):\n", " for h in range(HORIZON):\n", " fh = f_idx[h]\n", " occ = max(0.0, np.sin(np.pi * max(0.0, min(1.0, (fh % 24 - 8) / 9))))\n", " y_target[i, h, 0] = (\n", " 4.0 * floor_area[i]\n", " + 2.5 * abs(forecast_temp[i, h])\n", " + 3.0 * occ\n", " + 0.5 * humidity[i, -1]\n", " + rng.normal(0, 0.15)\n", " )\n", "\n", "print(f'x_static : {x_static.shape}')\n", "print(f'x_dynamic : {x_dynamic.shape}')\n", "print(f'x_future : {x_future.shape}')\n", "print(f'y_target : {y_target.shape}')\n", "print(f'Target range : [{y_target.min():.2f}, {y_target.max():.2f}] (kW normalised)')\n" ] }, { "cell_type": "code", "execution_count": 3, "id": "d77fd186", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:12:30.576008Z", "iopub.status.busy": "2026-04-21T04:12:30.576008Z", "iopub.status.idle": "2026-04-21T04:12:31.397428Z", "shell.execute_reply": "2026-04-21T04:12:31.396904Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "GREEN = HIGH importance | ORANGE = MOD | GREY = LOW\n" ] } ], "source": [ "fig, axes = plt.subplots(2, 3, figsize=(15, 6))\n", "hours = np.arange(LOOKBACK)\n", "\n", "# Dynamic input patterns (sample 0)\n", "for ax, feat, name, imp in zip(\n", " axes.flat,\n", " [temperature[0], occupancy[0], humidity[0],\n", " wind_speed[0], cloud_cover[0], price_signal[0]],\n", " DYNAMIC_NAMES, [IMPORTANCE[n] for n in DYNAMIC_NAMES],\n", "):\n", " color = IMP_COLOR[imp]\n", " ax.plot(hours, feat, color=color, lw=1.8)\n", " ax.set_title(f'{name} [{imp}]', fontsize=11, color=color, fontweight='bold')\n", " ax.set_xlabel('Past hour'); ax.grid(True, alpha=0.3)\n", " ax.axvline(LOOKBACK - 1, color='gray', lw=1, linestyle=':', label='Now')\n", "\n", "axes[0, 0].set_ylabel('Normalised value')\n", "axes[1, 0].set_ylabel('Normalised value')\n", "plt.suptitle('Dynamic Input Features — Sample 0 (colour = known importance)',\n", " fontsize=13)\n", "plt.tight_layout(); plt.show()\n", "print('GREEN = HIGH importance | ORANGE = MOD | GREY = LOW')\n" ] }, { "cell_type": "code", "execution_count": 4, "id": "784e1a15", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:12:31.400920Z", "iopub.status.busy": "2026-04-21T04:12:31.400920Z", "iopub.status.idle": "2026-04-21T04:13:32.099663Z", "shell.execute_reply": "2026-04-21T04:13:32.098311Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Parameters: 415,451\n", "Final train MSE : 0.6215\n", "Final val MSE : 0.1307\n", "Final val MAE : 0.2870\n" ] } ], "source": [ "model = BaseAttentive(\n", " static_dim=N_STATIC, dynamic_dim=N_DYNAMIC, future_dim=N_FUTURE,\n", " output_dim=OUTPUT_DIM, forecast_horizon=HORIZON,\n", " objective='hybrid',\n", " architecture_config={'decoder_attention_stack': ['cross', 'hierarchical']},\n", " embed_dim=EMBED_DIM, num_heads=N_HEADS, dropout_rate=0.1,\n", " name='energy_interp',\n", ")\n", "_ = model([x_static, x_dynamic, x_future]) # build weights (TF requirement)\n", "model.compile(optimizer=keras.optimizers.Adam(1e-3), loss='mse', metrics=['mae'])\n", "print(f'Parameters: {model.count_params():,}')\n", "\n", "history = model.fit(\n", " [x_static, x_dynamic, x_future], y_target,\n", " epochs=EPOCHS, batch_size=BATCH_SIZE,\n", " validation_split=0.2, verbose=0,\n", ")\n", "print(f'Final train MSE : {history.history[\"loss\"][-1]:.4f}')\n", "print(f'Final val MSE : {history.history[\"val_loss\"][-1]:.4f}')\n", "print(f'Final val MAE : {history.history[\"val_mae\"][-1]:.4f}')\n" ] }, { "cell_type": "code", "execution_count": 5, "id": "32636465", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:32.101685Z", "iopub.status.busy": "2026-04-21T04:13:32.101685Z", "iopub.status.idle": "2026-04-21T04:13:32.425847Z", "shell.execute_reply": "2026-04-21T04:13:32.425847Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(1, 2, figsize=(13, 4))\n", "\n", "ax = axes[0]\n", "ax.plot(history.history['loss'], color='steelblue', lw=2, label='Train MSE')\n", "ax.plot(history.history['val_loss'], color='darkorange', lw=2, linestyle='--', label='Val MSE')\n", "ax.set_title('Training Convergence', fontsize=12)\n", "ax.set_xlabel('Epoch'); ax.set_ylabel('MSE')\n", "ax.legend(); ax.grid(True, alpha=0.3)\n", "\n", "ax = axes[1]\n", "ax.plot(history.history['mae'], color='steelblue', lw=2, label='Train MAE')\n", "ax.plot(history.history['val_mae'], color='darkorange', lw=2, linestyle='--', label='Val MAE')\n", "ax.set_title('MAE Convergence', fontsize=12)\n", "ax.set_xlabel('Epoch'); ax.set_ylabel('MAE')\n", "ax.legend(); ax.grid(True, alpha=0.3)\n", "\n", "plt.suptitle('Model Training History', fontsize=13)\n", "plt.tight_layout(); plt.show()\n" ] }, { "cell_type": "markdown", "id": "b921bb76", "metadata": {}, "source": [ "---\n", "\n", "## 2 — AttentionExtractor: Technical Framework\n", "\n", "`BaseAttentive` does not expose attention weights through a public API by default.\n", "We capture them using a **non-invasive monkey-patch** that wraps\n", "`keras.layers.MultiHeadAttention.call` to also return attention scores, stores\n", "them in a dict, then immediately restores the original method.\n", "\n", "The same technique is applied to `keras.layers.Softmax` to capture\n", "**Variable Selection Network (VSN)** feature weights.\n", "\n", "```\n", "Forward pass\n", " └── MultiHeadAttention.call(query, value, ...) → patched to also store\n", " attention_scores: (batch, heads, Q_len, K_len)\n", "\n", " └── Softmax.call(inputs) → if name == 'variable_weights_softmax', store\n", " vsn_weights: (batch, [T,] n_features, 1)\n", "```\n", "\n", "### Attention tensor shapes in this model\n", "\n", "| Layer | Shape | Meaning |\n", "|-------|-------|---------|\n", "| `CrossAttention` | `(B, 4, 24, K_enc)` | Decoder step × encoder memory window |\n", "| `HierarchicalAttention` short | `(B, 4, 24, 24)` | Forecast step × forecast step (short-term) |\n", "| `HierarchicalAttention` long | `(B, 4, 24, 24)` | Forecast step × forecast step (long-term) |\n", "\n", "`K_enc` is the number of temporal windows the `DynamicTimeWindow` component\n", "compresses the `LOOKBACK=48` encoder sequence into." ] }, { "cell_type": "code", "execution_count": 6, "id": "7df911af", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:32.432098Z", "iopub.status.busy": "2026-04-21T04:13:32.430985Z", "iopub.status.idle": "2026-04-21T04:13:32.442676Z", "shell.execute_reply": "2026-04-21T04:13:32.441297Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "AttentionExtractor ready.\n" ] } ], "source": [ "class AttentionExtractor:\n", " \"\"\"Captures MHA attention scores and VSN softmax weights via monkey-patching.\"\"\"\n", "\n", " def __init__(self, model):\n", " self.model = model\n", " self._attn = {}\n", " self._vsn = {}\n", " self._orig_mha = keras.layers.MultiHeadAttention.call\n", " self._orig_softmax = keras.layers.Softmax.call\n", "\n", " # ── Patched methods ────────────────────────────────────────────────────────\n", " def _mha_patch(self):\n", " store = self._attn\n", " orig = self._orig_mha\n", " def patched_mha(self_, query, value, key=None, **kwargs):\n", " kwargs['return_attention_scores'] = True\n", " out, scores = orig(self_, query, value, key=key, **kwargs)\n", " store[self_.name] = scores.numpy()\n", " return out\n", " keras.layers.MultiHeadAttention.call = patched_mha\n", "\n", " def _softmax_patch(self):\n", " store = self._vsn\n", " orig = self._orig_softmax\n", " counter = [0]\n", " def patched_sm(self_, inputs, mask=None):\n", " out = orig(self_, inputs, mask=mask)\n", " if self_.name == 'variable_weights_softmax':\n", " store[f'vsn_{counter[0]}'] = out.numpy()\n", " counter[0] += 1\n", " return out\n", " keras.layers.Softmax.call = patched_sm\n", "\n", " def _restore(self):\n", " keras.layers.MultiHeadAttention.call = self._orig_mha\n", " keras.layers.Softmax.call = self._orig_softmax\n", "\n", " # ── Public API ─────────────────────────────────────────────────────────────\n", " def extract(self, inputs, training=False):\n", " \"\"\"Run one forward pass and return attention + VSN tensors.\"\"\"\n", " self._attn, self._vsn = {}, {}\n", " self._mha_patch()\n", " self._softmax_patch()\n", " try:\n", " out = self.model(inputs, training=training)\n", " finally:\n", " self._restore()\n", " return {\n", " 'output': out.numpy(),\n", " 'attention': dict(self._attn),\n", " 'vsn': dict(self._vsn),\n", " }\n", "\n", "extractor = AttentionExtractor(model)\n", "print('AttentionExtractor ready.')\n" ] }, { "cell_type": "code", "execution_count": 7, "id": "3bded803", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:32.447819Z", "iopub.status.busy": "2026-04-21T04:13:32.447312Z", "iopub.status.idle": "2026-04-21T04:13:32.805156Z", "shell.execute_reply": "2026-04-21T04:13:32.803872Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "=== Attention tensors captured ===\n", " multi_head_attention : (32, 4, 24, 10) (batch, heads, Q, K)\n", " multi_head_attention_1 : (32, 4, 24, 24) (batch, heads, Q, K)\n", " multi_head_attention_2 : (32, 4, 24, 24) (batch, heads, Q, K)\n", " multi_head_attention_4 : (32, 4, 24, 24) (batch, heads, Q, K)\n", "\n", "=== VSN softmax tensors ===\n", " vsn_0: (32, 4, 1)\n", " vsn_1: (32, 48, 6, 1)\n", " vsn_2: (32, 24, 3, 1)\n", "\n", "Cross-attention : (32, 4, 24, 10) (K_enc=10 encoder windows)\n", "Hier short-term : (32, 4, 24, 24)\n", "Hier long-term : (32, 4, 24, 24)\n", "\n", "VSN static : (32, 4, 1)\n", "VSN dynamic : (32, 48, 6, 1)\n", "VSN future : (32, 24, 3, 1)\n" ] } ], "source": [ "# Run extraction on EXT_BATCH samples\n", "ext_s = x_static[:EXT_BATCH]\n", "ext_d = x_dynamic[:EXT_BATCH]\n", "ext_f = x_future[:EXT_BATCH]\n", "\n", "results = extractor.extract([ext_s, ext_d, ext_f])\n", "\n", "print('=== Attention tensors captured ===')\n", "for name, arr in results['attention'].items():\n", " print(f' {name:40s}: {arr.shape} (batch, heads, Q, K)')\n", "\n", "print()\n", "print('=== VSN softmax tensors ===')\n", "for name, arr in results['vsn'].items():\n", " print(f' {name}: {arr.shape}')\n", "\n", "# ── Identify attention layers by shape ────────────────────────────────────────\n", "attn_tensors = list(results['attention'].values())\n", "attn_names = list(results['attention'].keys())\n", "\n", "# Cross-attention: Q=HORIZON, K < HORIZON (encoder window compression)\n", "cross_idx = next(i for i, a in enumerate(attn_tensors) if a.shape[-1] < HORIZON)\n", "hier_idxs = [i for i, a in enumerate(attn_tensors) if a.shape[-1] == HORIZON]\n", "\n", "cross_attn = attn_tensors[cross_idx] # (B,heads,H,K_enc)\n", "hier_short = attn_tensors[hier_idxs[0]] if len(hier_idxs) > 0 else None # (B,heads,H,H)\n", "hier_long = attn_tensors[hier_idxs[1]] if len(hier_idxs) > 1 else None # (B,heads,H,H)\n", "K_ENC = cross_attn.shape[-1]\n", "\n", "print(f'\\nCross-attention : {cross_attn.shape} (K_enc={K_ENC} encoder windows)')\n", "if hier_short is not None:\n", " print(f'Hier short-term : {hier_short.shape}')\n", "if hier_long is not None:\n", " print(f'Hier long-term : {hier_long.shape}')\n", "\n", "# ── Map VSN tensors by feature count ──────────────────────────────────────────\n", "vsn_map = {}\n", "for arr in results['vsn'].values():\n", " # shapes: static=(B,4,1), dynamic=(B,T,6,1), future=(B,H,3,1)\n", " n_feat = arr.shape[-2]\n", " if n_feat == N_STATIC and arr.ndim == 3: vsn_map['static'] = arr\n", " elif n_feat == N_DYNAMIC: vsn_map['dynamic'] = arr\n", " elif n_feat == N_FUTURE: vsn_map['future'] = arr\n", "\n", "print()\n", "for k, v in vsn_map.items():\n", " print(f'VSN {k:8s} : {v.shape}')\n" ] }, { "cell_type": "markdown", "id": "025e1d08", "metadata": {}, "source": [ "---\n", "\n", "## 3 — Variable Selection Networks: Feature Importance\n", "\n", "Each input modality passes through a **Variable Selection Network (VSN)** that\n", "learns a per-feature softmax weight. A weight of `1/n_features` means the\n", "feature is treated equally; higher means the model relies on it more.\n", "\n", "The VSN weights are **input-dependent** (they differ per sample), but averaging\n", "across samples gives a stable global importance ranking.\n", "\n", "### What to look for\n", "\n", "- Static VSN: `floor_area` should dominate, `building_age` and `insulation`\n", " should be near uniform (≈ 0.25).\n", "- Dynamic VSN: `temperature` and `occupancy` should show the highest mean\n", " weights; `wind_speed`, `cloud_cover`, `price_signal` should be near `1/6`.\n", "- Future VSN: all three future features are important in the formula, so the\n", " weights should be more evenly spread but `forecast_temp` slightly higher." ] }, { "cell_type": "code", "execution_count": 8, "id": "8e4b6c8f", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:32.807446Z", "iopub.status.busy": "2026-04-21T04:13:32.807446Z", "iopub.status.idle": "2026-04-21T04:13:33.178315Z", "shell.execute_reply": "2026-04-21T04:13:33.178315Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Static VSN: {'floor_area': '0.965', 'building_age': '0.010', 'insulation': '0.021', 'bldg_type': '0.004'}\n", "Dynamic VSN: {'temperature': '0.027', 'occupancy': '0.003', 'humidity': '0.456', 'wind_speed': '0.487', 'cloud_cover': '0.005', 'price_signal': '0.021'}\n", "Future VSN: {'hour_sin': '0.452', 'hour_cos': '0.282', 'forecast_temp': '0.266'}\n" ] } ], "source": [ "# ── Compute mean importance across batch (and time for dynamic/future) ─────────\n", "def vsn_importance(arr):\n", " \"\"\"Average VSN weights over batch and time dims, return (n_features,) vector.\"\"\"\n", " w = arr[..., 0] # drop trailing singleton: (..., n_feat)\n", " while w.ndim > 2: # mean over time axes until shape = (B, n_feat)\n", " w = w.mean(axis=1)\n", " return w.mean(axis=0) # mean over batch -> (n_feat,)\n", "\n", "imp_static = vsn_importance(vsn_map['static'])\n", "imp_dynamic = vsn_importance(vsn_map['dynamic'])\n", "imp_future = vsn_importance(vsn_map['future'])\n", "\n", "fig, axes = plt.subplots(1, 3, figsize=(16, 5))\n", "specs = [\n", " (axes[0], STATIC_NAMES, imp_static, 'Static Features'),\n", " (axes[1], DYNAMIC_NAMES, imp_dynamic, 'Dynamic Features'),\n", " (axes[2], FUTURE_NAMES, imp_future, 'Future Features'),\n", "]\n", "\n", "for ax, names, imp, title in specs:\n", " colors = [IMP_COLOR[IMPORTANCE[n]] for n in names]\n", " uniform = 1.0 / len(names)\n", " bars = ax.barh(names, imp, color=colors, edgecolor='white', height=0.6)\n", " ax.axvline(uniform, color='black', lw=1.5, linestyle='--', label=f'Uniform ({uniform:.2f})')\n", " # annotate each bar\n", " for bar, val in zip(bars, imp):\n", " ax.text(val + 0.002, bar.get_y() + bar.get_height() / 2,\n", " f'{val:.3f}', va='center', fontsize=9)\n", " ax.set_title(title, fontsize=12)\n", " ax.set_xlabel('Mean VSN weight')\n", " ax.legend(fontsize=9); ax.grid(True, alpha=0.3, axis='x')\n", " ax.invert_yaxis()\n", "\n", "# Legend patch\n", "from matplotlib.patches import Patch\n", "legend_els = [Patch(color=c, label=l) for l, c in IMP_COLOR.items()]\n", "fig.legend(handles=legend_els, loc='lower center', ncol=3,\n", " title='Ground-truth importance', fontsize=9, title_fontsize=9,\n", " bbox_to_anchor=(0.5, -0.04))\n", "\n", "plt.suptitle('Section 3 — Variable Selection Network Feature Importances', fontsize=13)\n", "plt.tight_layout(); plt.show()\n", "\n", "# Print numeric summary\n", "print('Static VSN: ', dict(zip(STATIC_NAMES, [f'{v:.3f}' for v in imp_static])))\n", "print('Dynamic VSN: ', dict(zip(DYNAMIC_NAMES, [f'{v:.3f}' for v in imp_dynamic])))\n", "print('Future VSN: ', dict(zip(FUTURE_NAMES, [f'{v:.3f}' for v in imp_future])))\n" ] }, { "cell_type": "markdown", "id": "79289456", "metadata": {}, "source": [ "### Interpreting VSN Weights\n", "\n", "**Static features**: If `floor_area` has the largest weight it confirms the model\n", "identified the primary scaling factor for base load. Low weights on `building_age`\n", "and `insulation` (near `0.25` uniform) are correct — they don't appear in the\n", "generating formula.\n", "\n", "**Dynamic features**: Bars above the dashed *uniform* line are relied on more than\n", "average. We expect `temperature` and `occupancy` to stand out. The three LOW\n", "features should fall below or at the uniform mark.\n", "\n", "**Future features**: All three (`hour_sin`, `hour_cos`, `forecast_temp`) appear in\n", "the formula, so their weights should be more balanced but `forecast_temp` slightly\n", "higher due to its direct HVAC coupling.\n", "\n", "> **Caveat**: VSN weights reflect the model's learned routing, not a causal\n", "> attribution. Highly correlated features may share weight even if only one\n", "> is causal. Use gradient saliency (Section 6) as a complementary check." ] }, { "cell_type": "markdown", "id": "97f01425", "metadata": {}, "source": [ "---\n", "\n", "## 4 — Cross-Attention: Decoder ↔ Encoder\n", "\n", "The **cross-attention** layer lets each decoder step (one future hour) query the\n", "compressed encoder representation. Its shape is:\n", "\n", "```\n", "cross_attn : (batch, heads, Q=HORIZON, K=K_enc)\n", "```\n", "\n", "where `K_enc` is the number of temporal windows that `DynamicTimeWindow`\n", "compresses the `LOOKBACK=48`-step encoder sequence into.\n", "\n", "### What to look for\n", "\n", "- **Recent focus**: early forecast steps (h = 1–6) should draw from recent\n", " encoder windows (high K indices) because the immediate future is best predicted\n", " from the recent past.\n", "- **Periodic patterns**: longer-horizon steps (h = 18–24) may attend more evenly,\n", " relying on earlier periodic context (temperature cycle from 24 h ago).\n", "- **Head specialisation**: different heads may focus on different temporal ranges." ] }, { "cell_type": "code", "execution_count": 9, "id": "14f60747", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:33.181630Z", "iopub.status.busy": "2026-04-21T04:13:33.181630Z", "iopub.status.idle": "2026-04-21T04:13:34.207254Z", "shell.execute_reply": "2026-04-21T04:13:34.205035Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# ── Cross-attention heatmap — all 4 heads, sample 0 ───────────────────────────\n", "sample_idx = 0\n", "ca = cross_attn[sample_idx] # (heads, H, K_enc)\n", "\n", "fig, axes = plt.subplots(1, N_HEADS, figsize=(5 * N_HEADS, 4), sharey=True)\n", "for h_i, ax in enumerate(axes):\n", " im = ax.imshow(ca[h_i], aspect='auto', cmap='viridis',\n", " vmin=0, vmax=ca.max())\n", " ax.set_title(f'Head {h_i + 1}', fontsize=11)\n", " ax.set_xlabel(f'Encoder window (1–{K_ENC})')\n", " if h_i == 0:\n", " ax.set_ylabel('Forecast step (1–24)')\n", " ax.set_xticks(range(K_ENC))\n", " ax.set_xticklabels([str(k + 1) for k in range(K_ENC)], fontsize=8)\n", " ax.set_yticks(range(0, HORIZON, 4))\n", " ax.set_yticklabels([str(s + 1) for s in range(0, HORIZON, 4)], fontsize=8)\n", " plt.colorbar(im, ax=ax, shrink=0.8)\n", "\n", "plt.suptitle(f'Cross-Attention (sample {sample_idx}) — each cell = weight a forecast step '\n", " f'places on an encoder window', fontsize=12)\n", "plt.tight_layout(); plt.show()\n" ] }, { "cell_type": "code", "execution_count": 10, "id": "97808baf", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:34.211014Z", "iopub.status.busy": "2026-04-21T04:13:34.211014Z", "iopub.status.idle": "2026-04-21T04:13:34.579235Z", "shell.execute_reply": "2026-04-21T04:13:34.577769Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# ── Cross-attention averaged over EXT_BATCH samples ──────────────────────────\n", "mean_ca = cross_attn.mean(axis=0) # (heads, H, K_enc)\n", "grand_ca = mean_ca.mean(axis=0) # (H, K_enc) — average over heads\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", "\n", "# Left: grand mean\n", "ax = axes[0]\n", "im = ax.imshow(grand_ca, aspect='auto', cmap='plasma')\n", "ax.set_title('Grand Mean (all heads, all samples)', fontsize=12)\n", "ax.set_xlabel(f'Encoder window (1–{K_ENC})')\n", "ax.set_ylabel('Forecast step (1–24)')\n", "ax.set_xticks(range(K_ENC))\n", "ax.set_xticklabels([str(k + 1) for k in range(K_ENC)], fontsize=9)\n", "ax.set_yticks(range(0, HORIZON, 4))\n", "ax.set_yticklabels([str(s + 1) for s in range(0, HORIZON, 4)], fontsize=9)\n", "plt.colorbar(im, ax=ax)\n", "\n", "# Right: attention profile by forecast step (select 4 representative steps)\n", "ax = axes[1]\n", "colors4 = ['#2ecc71', '#3498db', '#e67e22', '#e74c3c']\n", "steps4 = [0, 5, 11, 23]\n", "for col, step in zip(colors4, steps4):\n", " ax.plot(range(1, K_ENC + 1), grand_ca[step],\n", " color=col, lw=2.5, marker='o', markersize=5,\n", " label=f'h = {step + 1}')\n", "ax.set_title('Attention Profile by Forecast Step', fontsize=12)\n", "ax.set_xlabel(f'Encoder window (1–{K_ENC})')\n", "ax.set_ylabel('Mean attention weight')\n", "ax.legend(fontsize=10); ax.grid(True, alpha=0.3)\n", "ax.set_xticks(range(1, K_ENC + 1))\n", "\n", "plt.suptitle('Section 4 — Cross-Attention: Decoder ↔ Encoder Memory', fontsize=13)\n", "plt.tight_layout(); plt.show()\n" ] }, { "cell_type": "markdown", "id": "438173f8", "metadata": {}, "source": [ "### Interpreting Cross-Attention\n", "\n", "**Grand mean heatmap** (left): bright regions indicate encoder windows that are\n", "*consistently* useful across all forecast steps. A diagonal or top-right\n", "concentration would confirm that the model primarily uses recent past data for\n", "all horizons.\n", "\n", "**Attention profile by forecast step** (right): if the four lines are *ordered*\n", "(h=1 peaking at the highest K window, h=24 spreading across earlier windows),\n", "it means the model has learned a **recency gradient** — near-future steps rely\n", "on the most recent context while longer horizons reach back further.\n", "\n", "`K_enc` windows each represent approximately `LOOKBACK / K_enc` hours of the\n", "original 48-step encoder sequence. Window `K_enc` contains the most *recent*\n", "past hours; window `1` the oldest." ] }, { "cell_type": "markdown", "id": "806eeaf0", "metadata": {}, "source": [ "---\n", "\n", "## 5 — Hierarchical Attention: Structure Inside the Forecast Horizon\n", "\n", "The `HierarchicalAttention` layer applies **two separate** MHA passes on the\n", "decoder sequence itself — one at short temporal scale, one at long. Both have\n", "shape `(batch, heads, HORIZON, HORIZON)`.\n", "\n", "Each cell `[q, k]` is the weight that **forecast step q** places on\n", "**forecast step k** when building its representation.\n", "\n", "### What to look for\n", "\n", "- **Block-diagonal**: nearby forecast steps attend to each other (local structure).\n", "- **Near-diagonal in long-term**: long-range interdependencies, e.g. step 1 and\n", " step 13 (half a day apart) sharing periodicity context.\n", "- **Head differences**: short-term heads may cluster around the diagonal while\n", " long-term heads show broader patterns." ] }, { "cell_type": "code", "execution_count": 11, "id": "19cf45a5", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:34.581685Z", "iopub.status.busy": "2026-04-21T04:13:34.581685Z", "iopub.status.idle": "2026-04-21T04:13:35.714546Z", "shell.execute_reply": "2026-04-21T04:13:35.713527Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "if hier_short is None or hier_long is None:\n", " print('Hierarchical attention not available in this architecture config.')\n", "else:\n", " mean_hs = hier_short.mean(axis=0) # (heads, H, H)\n", " mean_hl = hier_long.mean(axis=0) # (heads, H, H)\n", "\n", " fig, axes = plt.subplots(2, N_HEADS, figsize=(5 * N_HEADS, 9))\n", " for row, (mean_h, label) in enumerate([(mean_hs, 'Short-term'),\n", " (mean_hl, 'Long-term')]):\n", " for h_i, ax in enumerate(axes[row]):\n", " im = ax.imshow(mean_h[h_i], aspect='auto', cmap='magma',\n", " vmin=0, vmax=mean_h.max())\n", " ax.set_title(f'{label} — Head {h_i + 1}', fontsize=10)\n", " ax.set_xlabel('Key step (1–24)')\n", " ax.set_ylabel('Query step (1–24)')\n", " ticks = list(range(0, HORIZON, 4))\n", " ax.set_xticks(ticks); ax.set_xticklabels([t + 1 for t in ticks], fontsize=7)\n", " ax.set_yticks(ticks); ax.set_yticklabels([t + 1 for t in ticks], fontsize=7)\n", " plt.colorbar(im, ax=ax, shrink=0.75)\n", "\n", " plt.suptitle('Section 5 — Hierarchical Self-Attention (averaged over samples)',\n", " fontsize=13)\n", " plt.tight_layout(); plt.show()\n" ] }, { "cell_type": "markdown", "id": "cea27df1", "metadata": {}, "source": [ "### Interpreting Hierarchical Attention\n", "\n", "**Short-term heads** (top row): expect a strong diagonal band — each forecast step\n", "mainly attends to its immediate neighbours. This captures smooth, continuous\n", "dynamics (e.g. temperature changing gradually hour-by-hour).\n", "\n", "**Long-term heads** (bottom row): expect a more diffuse or block-structured\n", "pattern. If there is a *secondary diagonal* offset by 12 steps it suggests the\n", "model has discovered the 12-hour half-cycle in the daily demand pattern.\n", "\n", "**Symmetric vs asymmetric**: standard MHA is symmetric in Q/K so the heatmap\n", "may appear largely symmetric about the main diagonal. Asymmetry would indicate\n", "that forecasting step *q* uses step *k* differently than step *k* uses step *q*." ] }, { "cell_type": "markdown", "id": "6d876cb1", "metadata": {}, "source": [ "---\n", "\n", "## 6 — Multi-Head Attention Diversity\n", "\n", "Using four attention heads allows the model to **simultaneously attend to\n", "different aspects** of the input. An ideal scenario has heads specialising:\n", "\n", "- **Head 1**: recent encoder context\n", "- **Head 2**: periodic / longer-range context\n", "- **Head 3**: sharp, peaked attention (high certainty)\n", "- **Head 4**: broad, diffuse attention (hedge)\n", "\n", "We measure diversity through:\n", "1. **Head similarity matrix** — cosine similarity between the flattened attention\n", " distributions of each pair of heads.\n", "2. **Attention entropy** — `H = -∑ p log p` per head; high entropy = diffuse focus." ] }, { "cell_type": "code", "execution_count": 12, "id": "7ecadfe5", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:35.717267Z", "iopub.status.busy": "2026-04-21T04:13:35.717267Z", "iopub.status.idle": "2026-04-21T04:13:36.154417Z", "shell.execute_reply": "2026-04-21T04:13:36.152981Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Head entropies: {'H1': '2.303', 'H2': '2.303', 'H3': '2.303', 'H4': '2.303'}\n" ] } ], "source": [ "# Use mean cross-attention: (heads, H, K_enc) → flatten to (heads, H*K_enc)\n", "ca_flat = mean_ca.reshape(N_HEADS, -1) # (4, H * K_enc)\n", "ca_norm = ca_flat / (np.linalg.norm(ca_flat, axis=1, keepdims=True) + 1e-9)\n", "sim_mat = ca_norm @ ca_norm.T # cosine similarity (4, 4)\n", "\n", "# Entropy per head (over K_enc dimension, averaged over H)\n", "# small epsilon to avoid log(0)\n", "eps = 1e-9\n", "ca_norm_prob = mean_ca / (mean_ca.sum(axis=-1, keepdims=True) + eps) # (heads, H, K_enc)\n", "entropy = -(ca_norm_prob * np.log(ca_norm_prob + eps)).sum(axis=-1) # (heads, H)\n", "head_entropy = entropy.mean(axis=-1) # (heads,)\n", "\n", "fig, axes = plt.subplots(1, 3, figsize=(16, 5))\n", "\n", "# 1. Head similarity matrix\n", "ax = axes[0]\n", "im = ax.imshow(sim_mat, cmap='RdYlGn', vmin=0, vmax=1)\n", "ax.set_xticks(range(N_HEADS)); ax.set_xticklabels([f'H{i+1}' for i in range(N_HEADS)])\n", "ax.set_yticks(range(N_HEADS)); ax.set_yticklabels([f'H{i+1}' for i in range(N_HEADS)])\n", "for i in range(N_HEADS):\n", " for j in range(N_HEADS):\n", " ax.text(j, i, f'{sim_mat[i,j]:.2f}', ha='center', va='center', fontsize=11)\n", "plt.colorbar(im, ax=ax)\n", "ax.set_title('Head Cosine Similarity\\n(1=identical, 0=orthogonal)', fontsize=11)\n", "\n", "# 2. Head entropy bar chart\n", "ax = axes[1]\n", "colors_h = ['#3498db', '#e74c3c', '#2ecc71', '#9b59b6']\n", "bars = ax.bar([f'Head {i+1}' for i in range(N_HEADS)], head_entropy,\n", " color=colors_h, edgecolor='white')\n", "ax.set_title('Attention Entropy per Head\\n(higher = more diffuse focus)', fontsize=11)\n", "ax.set_ylabel('Entropy (nats)')\n", "ax.grid(True, alpha=0.3, axis='y')\n", "for bar, val in zip(bars, head_entropy):\n", " ax.text(bar.get_x() + bar.get_width()/2, val + 0.01,\n", " f'{val:.2f}', ha='center', fontsize=10)\n", "\n", "# 3. Per-head attention profiles (avg over H)\n", "ax = axes[2]\n", "for h_i, col in enumerate(colors_h):\n", " profile = mean_ca[h_i].mean(axis=0) # (K_enc,)\n", " ax.plot(range(1, K_ENC+1), profile, color=col, lw=2.5,\n", " marker='o', markersize=6, label=f'Head {h_i+1}')\n", "ax.set_title('Per-Head Encoder Window Profile\\n(avg over forecast steps)', fontsize=11)\n", "ax.set_xlabel(f'Encoder window (1–{K_ENC})')\n", "ax.set_ylabel('Mean attention weight')\n", "ax.legend(fontsize=10); ax.grid(True, alpha=0.3)\n", "ax.set_xticks(range(1, K_ENC+1))\n", "\n", "plt.suptitle('Section 6 — Multi-Head Attention Diversity (cross-attention)',\n", " fontsize=13)\n", "plt.tight_layout(); plt.show()\n", "\n", "print('Head entropies:', dict(zip([f'H{i+1}' for i in range(N_HEADS)],\n", " [f'{e:.3f}' for e in head_entropy])))\n" ] }, { "cell_type": "markdown", "id": "12ae867f", "metadata": {}, "source": [ "### Interpreting Head Diversity\n", "\n", "**Similarity matrix**: off-diagonal values close to 1 mean those two heads are\n", "doing nearly the same work — redundant capacity. Values near 0 indicate true\n", "specialisation. If all heads are similar, the model has not learned to diversify\n", "and some heads may be underutilised.\n", "\n", "**Entropy**: a head with *low entropy* has a sharp, confident focus — it \"knows\"\n", "exactly which encoder window to query. A *high-entropy* head spreads weight\n", "broadly, acting as an ensemble aggregator. Healthy multi-head attention typically\n", "shows **a mix**: some sharp heads for recent context, some diffuse heads for\n", "uncertainty.\n", "\n", "**Per-head profiles**: if the lines are clearly separated (different peaks or\n", "shapes) the heads have genuinely specialised. If they overlap, the diversity\n", "comes purely from the query/key projection matrices rather than the attention\n", "patterns themselves." ] }, { "cell_type": "markdown", "id": "8df38b80", "metadata": {}, "source": [ "---\n", "\n", "## 7 — Gradient-Based Saliency\n", "\n", "**Gradient saliency** measures how much the model's output *would change* if\n", "each input dimension were perturbed slightly:\n", "\n", "```\n", "saliency(x) = |∂ mean_output / ∂ x|\n", "```\n", "\n", "For a *dynamic* input of shape `(batch, T, n_feat)` this gives a\n", "`(T, n_feat)` heatmap showing which *time steps* and *features* are most\n", "influential. Averaging across the time axis gives a global feature ranking." ] }, { "cell_type": "code", "execution_count": 13, "id": "2485df7d", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:36.156849Z", "iopub.status.busy": "2026-04-21T04:13:36.156849Z", "iopub.status.idle": "2026-04-21T04:13:36.870691Z", "shell.execute_reply": "2026-04-21T04:13:36.869806Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Saliency shapes:\n", " Static : (4,)\n", " Dynamic : (48, 6) (T x features)\n", " Future : (24, 3) (H x features)\n", "\n", "Static feature saliency (sorted):\n", " floor_area : 0.11414 [HIGH]\n", " insulation : 0.00067 [LOW]\n", " building_age : 0.00041 [LOW]\n", " bldg_type : 0.00038 [MOD]\n" ] } ], "source": [ "# ── Compute gradient saliency ─────────────────────────────────────────────────\n", "xs_v = tf.Variable(ext_s, trainable=True, dtype=tf.float32)\n", "xd_v = tf.Variable(ext_d, trainable=True, dtype=tf.float32)\n", "xf_v = tf.Variable(ext_f, trainable=True, dtype=tf.float32)\n", "\n", "with tf.GradientTape() as tape:\n", " pred = model([xs_v, xd_v, xf_v], training=False)\n", " scalar = tf.reduce_mean(pred)\n", "\n", "gs, gd, gf = tape.gradient(scalar, [xs_v, xd_v, xf_v])\n", "\n", "# Absolute saliency, averaged over batch\n", "sal_static = tf.abs(gs).numpy().mean(axis=0) # (N_STATIC,)\n", "sal_dynamic = tf.abs(gd).numpy().mean(axis=0) # (LOOKBACK, N_DYNAMIC)\n", "sal_future = tf.abs(gf).numpy().mean(axis=0) # (HORIZON, N_FUTURE)\n", "\n", "print('Saliency shapes:')\n", "print(f' Static : {sal_static.shape}')\n", "print(f' Dynamic : {sal_dynamic.shape} (T x features)')\n", "print(f' Future : {sal_future.shape} (H x features)')\n", "\n", "print()\n", "print('Static feature saliency (sorted):')\n", "for name, val in sorted(zip(STATIC_NAMES, sal_static), key=lambda x: -x[1]):\n", " imp = IMPORTANCE[name]\n", " print(f' {name:20s} : {val:.5f} [{imp}]')\n" ] }, { "cell_type": "code", "execution_count": 14, "id": "34ebcb96", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:36.873522Z", "iopub.status.busy": "2026-04-21T04:13:36.873522Z", "iopub.status.idle": "2026-04-21T04:13:37.429857Z", "shell.execute_reply": "2026-04-21T04:13:37.428664Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(16, 11))\n", "gs_grid = gridspec.GridSpec(2, 3, figure=fig, hspace=0.45, wspace=0.35)\n", "\n", "# ── (A) Static feature saliency ───────────────────────────────────────────────\n", "ax = fig.add_subplot(gs_grid[0, 0])\n", "colors_s = [IMP_COLOR[IMPORTANCE[n]] for n in STATIC_NAMES]\n", "bars = ax.barh(STATIC_NAMES, sal_static, color=colors_s, edgecolor='white')\n", "ax.set_title('(A) Static Feature Saliency', fontsize=11, fontweight='bold')\n", "ax.set_xlabel('|∂ output / ∂ input|')\n", "ax.grid(True, alpha=0.3, axis='x'); ax.invert_yaxis()\n", "\n", "# ── (B) Dynamic saliency heatmap (T x features) ───────────────────────────────\n", "ax = fig.add_subplot(gs_grid[0, 1:])\n", "im = ax.imshow(sal_dynamic.T, aspect='auto', cmap='hot',\n", " extent=[1, LOOKBACK, -0.5, N_DYNAMIC - 0.5])\n", "ax.set_yticks(range(N_DYNAMIC))\n", "ax.set_yticklabels(DYNAMIC_NAMES, fontsize=9)\n", "ax.set_xlabel('Past hour (1 = oldest)')\n", "ax.set_title('(B) Dynamic Saliency Heatmap (features × time)', fontsize=11,\n", " fontweight='bold')\n", "plt.colorbar(im, ax=ax, label='|gradient|', shrink=0.8)\n", "\n", "# ── (C) Dynamic feature importance (mean over T) ─────────────────────────────\n", "ax = fig.add_subplot(gs_grid[1, 0])\n", "sal_dyn_feat = sal_dynamic.mean(axis=0) # (N_DYNAMIC,)\n", "colors_d = [IMP_COLOR[IMPORTANCE[n]] for n in DYNAMIC_NAMES]\n", "ax.barh(DYNAMIC_NAMES, sal_dyn_feat, color=colors_d, edgecolor='white')\n", "uniform_d = sal_dyn_feat.mean()\n", "ax.axvline(uniform_d, color='black', lw=1.5, linestyle='--', label='Mean')\n", "ax.set_title('(C) Dynamic Feature Importance\\n(mean saliency over time)', fontsize=11,\n", " fontweight='bold')\n", "ax.set_xlabel('Mean |gradient|'); ax.legend(fontsize=9)\n", "ax.grid(True, alpha=0.3, axis='x'); ax.invert_yaxis()\n", "\n", "# ── (D) Dynamic saliency over time (mean over features) ──────────────────────\n", "ax = fig.add_subplot(gs_grid[1, 1])\n", "sal_dyn_time = sal_dynamic.mean(axis=1) # (LOOKBACK,)\n", "ax.fill_between(range(1, LOOKBACK + 1), sal_dyn_time,\n", " color='steelblue', alpha=0.5)\n", "ax.plot(range(1, LOOKBACK + 1), sal_dyn_time, color='steelblue', lw=2)\n", "ax.axvline(LOOKBACK - 12, color='red', lw=1.5, linestyle=':', label='12 h ago')\n", "ax.axvline(LOOKBACK - 24, color='orange', lw=1.5, linestyle=':', label='24 h ago')\n", "ax.set_title('(D) Temporal Saliency Profile\\n(mean over features)', fontsize=11,\n", " fontweight='bold')\n", "ax.set_xlabel('Past hour'); ax.set_ylabel('Mean |gradient|')\n", "ax.legend(fontsize=9); ax.grid(True, alpha=0.3)\n", "\n", "# ── (E) Future feature saliency ───────────────────────────────────────────────\n", "ax = fig.add_subplot(gs_grid[1, 2])\n", "sal_fut_feat = sal_future.mean(axis=0) # (N_FUTURE,)\n", "colors_f = [IMP_COLOR[IMPORTANCE[n]] for n in FUTURE_NAMES]\n", "ax.barh(FUTURE_NAMES, sal_fut_feat, color=colors_f, edgecolor='white')\n", "ax.set_title('(E) Future Feature Saliency', fontsize=11, fontweight='bold')\n", "ax.set_xlabel('Mean |gradient|')\n", "ax.grid(True, alpha=0.3, axis='x'); ax.invert_yaxis()\n", "\n", "fig.suptitle('Section 7 — Gradient-Based Saliency Maps', fontsize=14)\n", "plt.show()\n" ] }, { "cell_type": "markdown", "id": "04e56e4b", "metadata": {}, "source": [ "### Interpreting the Saliency Maps\n", "\n", "**(A) Static saliency**: confirms which static features the output is most\n", "sensitive to. `floor_area` should top the ranking — its coefficient (4.0) in\n", "the generating formula is the largest.\n", "\n", "**(B) Dynamic heatmap**: the *bright region in the upper rows* identifies the\n", "high-importance features; the *right columns* (recent time steps) should be\n", "brighter than the left (old data), confirming that recent past matters more for\n", "near-horizon forecasting.\n", "\n", "**(C) Dynamic feature ranking**: averaging over time smooths out recency effects\n", "and gives the clearest feature-vs-feature comparison. Features in the formula\n", "(`temperature`, `occupancy`) should lead. Noise features (`wind_speed`, etc.)\n", "should trail.\n", "\n", "**(D) Temporal profile**: the gradient magnitude typically *rises towards the\n", "present* (right side), confirming a recency bias. A secondary peak around\n", "**24 h ago** (vertical orange line) would reveal that the model has detected the\n", "daily periodicity in the training data.\n", "\n", "**(E) Future saliency**: all three future features appear in the formula, so\n", "saliency should be higher here than for the low-importance dynamic features." ] }, { "cell_type": "markdown", "id": "c1e55f09", "metadata": {}, "source": [ "---\n", "\n", "## 8 — Horizon-Dependent Attention\n", "\n", "Does the model shift its temporal focus depending on *how far ahead* it is\n", "forecasting?\n", "\n", "- **Short horizon (h = 1–6)**: the immediate future is tightly coupled to the\n", " recent past → expect *peaked* cross-attention on the most recent encoder window.\n", "- **Mid horizon (h = 7–18)**: the model may start drawing on a wider context range.\n", "- **Long horizon (h = 19–24)**: periodic signals (daily cycle) become important →\n", " expect attention to spread across multiple encoder windows." ] }, { "cell_type": "code", "execution_count": 15, "id": "51c18867", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:37.432002Z", "iopub.status.busy": "2026-04-21T04:13:37.432002Z", "iopub.status.idle": "2026-04-21T04:13:37.725433Z", "shell.execute_reply": "2026-04-21T04:13:37.724090Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "selected_steps = [0, 5, 11, 17, 23] # h = 1, 6, 12, 18, 24\n", "colors5 = ['#1abc9c', '#3498db', '#9b59b6', '#e67e22', '#e74c3c']\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", "\n", "# ── Left: line profiles per selected step (grand mean head) ───────────────────\n", "ax = axes[0]\n", "for step, col in zip(selected_steps, colors5):\n", " profile = mean_ca.mean(axis=0)[step] # (K_enc,) averaged over heads\n", " ax.plot(range(1, K_ENC + 1), profile, color=col, lw=2.5,\n", " marker='o', markersize=7, label=f'h = {step + 1}')\n", "ax.set_title('Cross-Attention Profile by Forecast Step\\n(mean over heads & samples)',\n", " fontsize=11)\n", "ax.set_xlabel(f'Encoder window (1 = oldest, {K_ENC} = most recent)')\n", "ax.set_ylabel('Attention weight'); ax.legend(fontsize=10)\n", "ax.grid(True, alpha=0.3); ax.set_xticks(range(1, K_ENC + 1))\n", "\n", "# ── Right: attention entropy along the horizon ────────────────────────────────\n", "ax = axes[1]\n", "# Entropy over encoder windows for each forecast step\n", "ca_by_step = mean_ca.mean(axis=0) # (H, K_enc)\n", "eps = 1e-9\n", "step_entropy = -(ca_by_step * np.log(ca_by_step + eps)).sum(axis=-1) # (H,)\n", "\n", "ax.plot(range(1, HORIZON + 1), step_entropy, color='steelblue', lw=2.5, marker='o',\n", " markersize=5)\n", "ax.fill_between(range(1, HORIZON + 1), step_entropy, alpha=0.25, color='steelblue')\n", "for step, col in zip(selected_steps, colors5):\n", " ax.axvline(step + 1, color=col, lw=1.5, linestyle='--', alpha=0.8)\n", "ax.set_title('Attention Entropy across Forecast Horizon\\n(higher = more uncertain/spread)',\n", " fontsize=11)\n", "ax.set_xlabel('Forecast step h'); ax.set_ylabel('Entropy (nats)')\n", "ax.grid(True, alpha=0.3)\n", "\n", "plt.suptitle('Section 8 — Horizon-Dependent Attention Patterns', fontsize=13)\n", "plt.tight_layout(); plt.show()\n" ] }, { "cell_type": "markdown", "id": "d17e8199", "metadata": {}, "source": [ "### Interpreting Horizon-Dependent Patterns\n", "\n", "**Line profiles**: if the curve for `h=1` has a sharp peak at the *rightmost*\n", "(most recent) encoder window, the model is confidently using the last observed\n", "data point to project one step ahead — sensible. As `h` grows, the lines should\n", "flatten (more uncertain, broader context).\n", "\n", "**Entropy plot**: entropy should *increase monotonically* with horizon, reflecting\n", "the fundamental forecasting principle that uncertainty grows with time. A flat or\n", "decreasing entropy at long horizons would suggest the model is over-confident for\n", "far-future predictions and might be memorising a fixed pattern rather than\n", "reasoning from context." ] }, { "cell_type": "markdown", "id": "1a7e9afc", "metadata": {}, "source": [ "---\n", "\n", "## 9 — Contrastive Analysis: Peak vs Off-Peak Demand\n", "\n", "Different samples may lead the model to attend to very different parts of the\n", "input. Here we compare:\n", "\n", "- **High-demand samples** (large `floor_area`, high `occupancy` at forecast time)\n", "- **Low-demand samples** (small `floor_area`, low `occupancy`)\n", "\n", "If the model has learned correctly, the high-demand attention heatmap should show\n", "stronger focus on recent encoder windows (since high-occupancy hours cluster\n", "around business times whose immediate precursors are known), while low-demand\n", "patterns may be more diffuse." ] }, { "cell_type": "code", "execution_count": 16, "id": "f944dd78", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:37.728192Z", "iopub.status.busy": "2026-04-21T04:13:37.728192Z", "iopub.status.idle": "2026-04-21T04:13:38.866515Z", "shell.execute_reply": "2026-04-21T04:13:38.865386Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "High-demand samples : 8 (mean demand >= 5.81)\n", "Low-demand samples : 8 (mean demand <= 4.51)\n" ] }, { "data": { "image/png": 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AxRWxEwAAQMSY0y4+SNoBAOBWlHgCAAAgdgIAACgEHo9HPF4bc9ppfxVsI2kHAIBb6dxe0c7v5YL5wAAAAAoFsRMAAEDEvAles0TLy/zp+ULSDgAAN8+KHe3M2MykDQAAiitiJwAAgIh5EjxmiZaHC8bzhaQdAABuxdXiAAAAxE4AAACFgKRdfJC0AwDApfx+j/ijrBOu2wAAABRHxE4AAACRozxmfERfkBQAABQ7U6dOlbp160pKSoq0adNGVq1alWvbdevWSY8ePUx7nbR4ypQptvZ59OhRGTx4sFSqVEnKlClj9pmWlha4/5tvvpFevXpJrVq1pGTJktKwYUN54oknCvBZAwAAAAAAALFD0g4AALeXx4x2idKcOXNk+PDhMnbsWFmzZo00bdpUOnfuLLt27Qrb/vDhw1KvXj2ZMGGCVKtWzfY+hw0bJu+//77MnTtXli5dKjt27JDu3bsH7l+9erVUrVpVXnnlFZMovOeee2TUqFHy9NNPR/0cAQBAMRCj2AkAAKBI+O+cdtEuuh3sozwmAABu5fvvEu02UZo0aZIMGDBA+vXrZ25Pnz5dPvjgA5k5c6aMHDkyR/tWrVqZRYW7P5J97t+/X2bMmCGzZ8+WDh06mDazZs0yo+lWrlwpbdu2leuvvz5kn5ooXLFihbz99tsyZMiQ6J8oAAAo2mIUOwEAABQFXo9HvF6Pre1gHyPtAABwqxhcLX7s2DEzoq1jx46BdV6v19zWBJkdkexT78/IyAhp06BBA6ldu3aej6vJvooVK9o6LgAAUMQx0g4AACBingSv7QX2cfYAAHArn8feIiIHDhwIWdLT08M+xJ49eyQrK0tSU1ND1uvtnTt32jrsSPapf5OTk6VChQoRP+7y5ctN2c2BAwfaOi4AAFDE5SN2KgrzAVtefPFFadKkidmPlhrXbQAAALLzJnhsL7CPpB0AAMXwavFatWpJ+fLlA8v48ePFzb7//nvp2rWrmSOvU6dO8T4cAADgRMV8PmCrRLnOA6zlyDVZ+PHHH5v9AAAAZGdnPrvAvHawjTntAAAohrZt2yblypUL3C5RokTYdpUrV5aEhIQcV2nr7dw6lY4nkn3qXy2juW/fvpDRduEed/369XLBBReYEXajR4+2dUwAAAAFxanzAf/5558mVtLEnsZOFh11BwAAAGcoskm7Rq3WS9nkZHGyUxr/JE5XLnWfuMEJp28TN9i6pLE43YZlzcQN5v1cXtwgxSUDmv+xuaY4XePfK4nTHczQEpPLYveAdko2/be9JuyCk3a50RKVLVq0kEWLFkm3bt3+3oXPZ24PGTLE1mFHsk+9PykpyazT0k5q06ZNsnXrVmnXrl1gX3qFuHZM9e3bVx566CFbx4MgWZ6/FwdLTMwUpzsxQVwhweOO36g/Mp1/Qn0+cYU/9pYVN0hywedcpf1RSpyuRAlnz/N62Hcktg+Yj9hJy4kH0wuewl30ZM3dO2rUqAKfDzivfR5vPmBN2i1cuNDEXNu3bzfJvL/++kvOOussefzxx00VBkSvyqmnS0IJZ38XXHq6vQvtYilj9XviBun7DooblK0dOg2BEx0t4Y4+nd2HMsQNftob499Tm2pXcP7r7k9y9ne6PzErpo9nd346j88d/6/pVJw9AADcym9ziZKWYnr++eflpZdekg0bNsigQYPk0KFDgSu9+/TpE9KJpB1La9euNYv+WzuG9N8//fRTxPvUkp39+/c37T755BPTEaX3acJOO52skpjnn3++KYep7XSuO112796d/3MLAACKnnzETpGWFnfyfMA///yzSdo9/PDDZt68N998U/bu3SsXXnihidkAAACCeRPszmvHecyPIjvSDgCAos7v85gl2m2i1bNnT5MIGzNmjOn0adasmSxYsCDQcaSj3/Rqb4vOn9K8efPA7YkTJ5qlffv2smTJkoj2qSZPnmz2qyPt0tPTzXwr06ZNC9yvHU26j1deecUsljp16sgvv/wS9fMEAABFW35ip0hLizuZJux0NN6TTz4ZmAP4tddeM6XH9SIp5rYDAADBPF6PWaJlZxv8D0k7AADcyu/5e4l2Gxu0bGVu5TCtRJylbt264vf787VPlZKSIlOnTjVLOPfdd59ZAAAACjt2irS0uJPnA65evbr526hRo8D9VapUMfvXi7AAAACC6YXUXhvlMb1ZFHjMD84eAABuZc3LEu0CAABQHMUgdgqeuzfwsP+duzd4Xt6C3mfwfMCW7PMBn3322YH1Fi2PqeU3tVIBAABAME+Cx/YC+xhpBwCAW5l5VqK9WrywDgYAAMDhYhQ76Vy7ffv2lZYtW0rr1q3N/HHZ5wM+8cQTA/Pi6Qi59evXB/5tzQdcpkwZqV+/fkT7DJ4PuGLFimZU4C233BIyH/Cpp54qXbt2laFDh8pzzz1n2ui8xA0aNDDzBAMAAATzJHjNEi072+B/SNoBAAAAAAAUEKfOB6xefvllGTZsmFxyySWmrT6G7kdH6QEAACD+SNoBAOBWfhvlLm3OaQcAAOB6MYydnDgfsNLRdTNmzDALAABAXjxer1miZWcb/A9JOwAAXEr7diLo38mxDQAAQHFE7AQAABA5b4LXLNGysw3+h6QdAABupVd+Rz0vCyPtAABAMUXsBAAAEDmbc9rpdrCPswcAgFtpeSc7CwAAQHFE7AQAABBdecwEG4uN8pha3ltLhqekpEibNm1k1apVebafO3euNGjQwLQ/44wzZP78+SH3a+lxnQu4evXqUrJkSenYsaP8+OOPIW327t0rvXv3NuXDK1SoIP3795eDBw+GfbyffvpJypYta9oVNpJ2AAC4lN/vsbUAAAAUR8ROAAAA0c9pZ2eJxpw5c2T48OEyduxYWbNmjTRt2lQ6d+4su3btCtt++fLl0qtXL5Nk+/rrr6Vbt25m+f777wNtHn30UXnyySdl+vTp8sUXX0jp0qXNPo8ePRpoowm7devWycKFC2XevHny6aefysCBA3M8XkZGhnm8c889NyZvH5J2AAC4FVeLAwAAEDsBAAAUgr9HziXYWKJLO02aNEkGDBgg/fr1k0aNGplEW6lSpWTmzJlh2z/xxBPSpUsXGTFihDRs2FDGjRsnZ555pjz99NOBUXZTpkyR0aNHS9euXaVJkyby8ssvy44dO+Sdd94xbTZs2CALFiyQF154wYzsO+ecc+Spp56S119/3bQLpvvRUX3/+te/JBZI2gEAAAAAAAAAACCmjh07JqtXrzblKy1er9fcXrFiRdhtdH1we6Wj6Kz2W7ZskZ07d4a0KV++vEnOWW30r5a6bNmyZaCNttfH1pF5lsWLF5tSnFq+M1YSY/ZIAACgYGmpy2jLXVIeEwAAFFfETgAAABGz5qiLlrXNgQMHQtaXKFHCLMH27NkjWVlZkpqaGrI+NTVVNm7cGHb/mpAL117XW/db6/JqU7Vq1ZD7ExMTpWLFioE2f/zxh1x33XXyyiuvmHnvYoWRdgAAuBTzsgAAABA7AQAAFAYddWZ3UbVq1TIj3Kxl/PjxrnqhBgwYIFdffbWcd955MX3cIjvSrnr31VKudII4ma9ihjid9y93vEX2zW8kbrBx7WnidI9sFVc4kLRb3KBNRhVxg5Ipx8Tpfvulhjjd4az/TWYbE77/LtFuA+Qi6+QjklXG2dd0VTopTZyuWoV0cYOf/0gRN9joPSJOVyMtdldd5keVE5x/LtWxjCRxgwRn/++mcfCQsz/nR3z+2D4gsRMKWGJSgiQkOfvLoGJJ53+npu/7S9wgIdkdfWRH/wgd2eJEx45miRukHXR+X4lK8kZZgQe58nud/Z0e6+PL70i7bdu2hYxQyz7KTlWuXFkSEhIkLS30//XT0tKkWrVqYfev6/Nqb/3VddWrVw9p06xZs0CbXbt2hewjMzNT9u7dG9heS2O+9957MnHixMBceT6fz4zIe+655+T666+XwuDsXhkAAHD8Ek/RLgAAAMURsRMAAEDUSTs7i9KEXfASLmmXnJwsLVq0kEWLFgXW+Xw+c7tdu3Zhj0vXB7dXCxcuDLQ/6aSTTOItuI2W6tS56qw2+nffvn1mPj2LJun0sXXuO2veu7Vr1waWBx54QMqWLWv+ffnllxfaO8kdl4gAAIAc/D6PWaIRbXsAAICigtgJAAAgch6PVzz/LXUZ7XbRGD58uPTt21datmwprVu3lilTpsihQ4ekX79+5v4+ffrIiSeeGCivOXToUGnfvr08/vjjcskll8jrr78uX331lRn99vfje+S2226TBx98UE455RSTxLv33nulRo0a0q1bN9OmYcOG0qVLF1MCc/r06ZKRkSFDhgyRq666yrSz2gTTx9DSn40bN5bCRNIOAAAAAAAAAAAAMdezZ0/ZvXu3jBkzRnbu3GlKWC5YsEBSU1PN/Vu3bg3Mk6fOOussmT17towePVruvvtuk5h75513QpJpd955p0n8DRw40IyoO+ecc8w+U1L+Vz7+1VdfNYm6Cy64wOy/R48e8uSTT0q8kbQDAMCt7JS7pDwmAAAoroidAAAAYjanXTQ0eaZLOEuWLMmx7sorrzRLbnS0nZaz1CU3FStWNMm/SF133XVmKWwk7QAAcCm/32OWaLcBAAAojoidAAAAnJm0w/+QtAMAwK00ARftHHUk7QAAQHFF7AQAABAxb4LXLNGysw3+h6QdAABuRYknAAAAYicAAIBC4PF6xBM0l1w028E+knYAALiU3//3Eu02AAAAxRGxEwAAQOQojxkfJO0AAHArn43ymNG2BwAAKCqInQAAACJG0s4lSbstW7bIZ599Jr/++qscPnxYqlSpIs2bN5d27dpJSkpK4RwlAACASxE7AQAAEDsBAAAUaNLu1VdflSeeeEK++uorSU1NlRo1akjJkiVl7969snnzZpOw6927t9x1111Sp06dSHcLAABs8vs9Zol2G8QGsRMAAM5C7ORsxE4AADiLx+O1N6edJ/ptEGXSTkfSJScny3XXXSdvvfWW1KpVK+T+9PR0WbFihbz++uvSsmVLmTZtmlx55ZWR7BoAANilCbhok3Ak7WKC2AkAAAcidnIsYicAAJzHk5Ag3oQEW9uhkJN2EyZMkM6dO+d6f4kSJeQf//iHWR566CH55Zdf8nFIAAAgEn6fxyzRiLY97CF2AgDAeYidnIvYCQAA52FOOwcn7fJK2GVXqVIlswAAgELmtzFyTrdBoSN2AgDAgYidHIvYCQAA5yFpFx/5Li7ar18/2bFjR8EcDQAAiHpelmgXxBexEwAA8UHs5E7ETgAAxIfOZ2d3gX0RjbRT3377ba4TBXft2lXq1atnbjdp0kScIKNOpmSU9YmTHameJU5Xbo07PmB//FpV3GD77xXF6Q56DogbpHkPixtUyP+1ETGRknIs3odQJHg8DGODe2MnlV7JI+llnf29lVLpL3G6xERnx6CWfS4ZevtTwn5xuubp1cQNqrrkd8otv6dlSzs/fkpIcPb3UYLH2ceH2HJj7JSRnik+yRQn++uY8/uevEkRd0/Gle+Ys19ry19b08TpqpZw9v9zWA5nOP/zo8oku+Mz5E8uI47ncfh70+nHhwIR8Se6WbNm4vHoFfo5/weqR48eZr3en5Xlji8zAABcT+eni3aOOua0ixliJwAAHIbYydGInQAAcBbKYzo8aadXMtWsWVMmTpwoJUuWNOs0UXfKKafIf/7zH/MXAADEjl5HE+ZamuNug9ggdgIAwFmInZyN2AkAAGfxeD0mcWdnO9gX8RlftWqV1K9f34yq27t3r9SpU0fq1q1r7qtRo4a5rQsAAIgN5mVxNmInAACchdjJ2YidAABwFua0c3jSLjk5WaZMmWJG2v3zn/+U8ePHi89XePXnFyxYIC1btjRXWrVt21a++eabQnssAABcXeIp2gUxEevYSRE/AQCQB2InRyN2AgDAWTzeBNsL7It6lsqLLrpIvvrqK+nXr58pi1kY/vzzT+ndu7d8+umncvrpp8tnn31mbn///feF8ngAALj5avFot0FsxSJ2UsRPAADkjdjJHYidAABwCE2+2UnAkbTLl+gLkopIamqqzJ8/X6644gq59NJLpVy5clKQNm/eLJUqVTIJO3XuuefK1q1bZc2aNQX6OAAAuJtHxB/lotsg5go7dlLETwAAHA+xk1sQOwEA4ABer/0FtuXr7N16663y73//W2rWrCkF6ZRTTpE//vhDli9fbm6/99578tdff8kvv/ySo216erocOHAgZAEAAHCiwoqdFPETAADOMXXqVKlbt66kpKRImzZtzHxtuVm3bp306NHDtPd4PKa8tp19Hj16VAYPHmwugi5TpozZZ1paWth9aZ+LxiP6ePv27ROnInYCAADFTdRJu99++00OHjyYY31GRoYpZ1kQypcvL2+++aaMGjVKWrRoIR999JE0atRIEhNzVvPU+WG0vbXUqlWrQI4BAAC3lHiKdkFsxSJ2UsRPAAA4I3aaM2eODB8+XMaOHWsqBjVt2lQ6d+4su3btCtv+8OHDUq9ePZkwYYJUq1bN9j6HDRsm77//vsydO1eWLl0qO3bskO7du4fdX//+/aVJkybiRMROAAA4gychwfaCGCTtfv/9d2ndurXUqVNHKlSoIH369AnpgNq7d6+cf/75UlB0Xxpkrl69Wh5//HETbGriLjtN7O3fvz+wbNu2rcCOAQAAR/N57C2IiVjHTor4CQCA+MdOkyZNkgEDBpj5bLUfY/r06VKqVCmZOXNm2PatWrWSxx57TK666iopUaKErX1qf8iMGTNMuw4dOpgLoGfNmmUqGK1cuTJkX88884wZXXfHHXc46u1C7AQAgEPntLOzoPCTdiNHjhSv1ytffPGFLFiwQNavX286hv78889AG7/fLwUZrFnGjRtngs769evnaKcBrc4LE7wAAFAc6M+unQWxEevYSRE/AQBQOLFT9mk5dKqOcI4dO2YuPu7YsWNgncYDenvFihW2Xp5I9qn36yj+4DYNGjSQ2rVrhzyuxiMPPPCAvPzyy2YfTkLsBACAw5j56ewk7ZwVY7hNxGfv448/lieffFJatmxpgsBly5ZJ9erVTTJNrxRXWgu9oIwZM8YEmJqo+/XXX80VYwAA4H8oj+lssY6dFPETAACFEzvpVBzBU3PoVB3h7NmzR7KysiQ1NTVkvd7euXOnrZcnkn3q3+TkZDO6P7c2mmjs1auXGdWnyTynIXYCAMBZPF6v7QX25ZwkLhdaauGEE04IGeH29ttvy5VXXmmuGn/llVekID3//PMFuj8AAIoc7USKdp4V5rSLmVjHTor4CQCAwomddCqO4Mo+uZWxdDKdXqRhw4ZyzTXXiBMROwEA4DAem6UudTvYFnHKUydF/vbbb0PWJSYmmgmO9b5LL73U/lEAAIDo+Tzij3KxO6fd1KlTpW7dupKSkiJt2rSRVatW5dp23bp10qNHD9NeR5JNmTLF1j6PHj0qgwcPlkqVKkmZMmXMPtPS0kLa3HrrrWbOFu04a9asmTgJsRMAAEUndso+LUduSbvKlStLQkJCjphFb1erVs3WYUeyT/2rZTR1rrrc2ixevNj04Whfji4XXHBBYP9jx46VeCN2AgDAYZjTztlJu4suukiee+65HOutxJ3TOsoAAEDBmDNnjgwfPtx05qxZs0aaNm0qnTt3ll27doVtf/jwYdPpMmHChFw7pyLZ57Bhw+T99983ccbSpUtlx44d0r179xz7uv7666Vnz56Oe7mJnQAAKH60RKVeULRo0aLAOp/PZ263a9eu0Pap9yclJYW02bRpk2zdujXQ5q233pJvvvlG1q5da5YXXnjBrP/ss8/MhVLxRuwEAAAQRXnMhx56yHTChaOJOw3+tm/fzjkFACBGgudZiWabaE2aNEkGDBgg/fr1M7enT58uH3zwgcycOVNGjhyZo32rVq3MosLdH8k+tTySzmc7e/ZsMwecmjVrlinptHLlSmnbtq1Zp3PGqd27d+eoCBBvxE4AABTP2EkvTOrbt6+Z17Z169am6sChQ4cCcU+fPn3kxBNPDMyLpyPk1q9fH/i39q1oUk0rDdSvXz+ifeo8e/379zftKlasaEYD3nLLLSZhZ8VNJ598co658pTGV9nnwosHYicAAJzF7vx0zGkXo6SdJuaC67erZcuWmYBRy0Lo/XXq1BGnSDggkuATR0sulSSOdyBZ3CArM+K3clx5PH5xuhP87pibIdHnjglNS4q9UoSx5ob3ptfpX+p6jJ6sIjennXYcrV692syBYvF6vdKxY0dZsWJFdI8dxT71/oyMDLPO0qBBA6ldu7ZpY3U+OZnbYie38Lvg+z8jw/nHqDLF+d/9yueC40x0we+oSkqM8e+UTYkJ7jhOv/NDE8RpPmCtAKAXFI0ZM0Z27txpKhMtWLBAUlNTzf06+k1jH4tWE2jevHng9sSJE83Svn17WbJkSUT7VJMnTzb71ZLi6enpporBtGnTXPM+cGPslJXpE7/X2V8GPp/zf6P8Wc4+h5asjExxA7/PHefTDbwed/Tp+PzO/5wbBE/uLY9pZzvYlpjf0gV69ZeWwAIAAO65WvzAgQMh67UjJNzcLHoFdlZWVkiHkNLbGzdutHXckexTO6O0FFT2q761jd7nVsROAAAU/ZF2asiQIWYJx0rEWXSOX38EHa557VPpPME6Z7AukfjHP/4R0ePGE7ETAABxpBcZ2UraueNCVqfK19lzenAHAEBRphep2VlUrVq1TBkla7HKM6GQXzNiJwAAXBk7IU6vGbETAABx40lIsL1ESy860guZUlJSpE2bNrJq1ao828+dO9dUZNL2Z5xxhsyfPz9HDKEVCqpXry4lS5Y0lZx+/PHHkDZ79+6V3r17m5H+etG4lho/ePBgyIVWXbt2NfsoXbq0qXTw6quvSmEj5QkAgNtLPEW7iMi2bdvMvHHWElyqMljlypUlISFB0tLSQtbr7WrVqtk67Ej2qX+1jOa+ffsK7HEBAEAxl4/YCQAAoHiOtLO5RGHOnDlmXt6xY8fKmjVrpGnTpqbM965du8K2X758ufTq1csk2b7++mvp1q2bWb7//vtAm0cffVSefPJJmT59unzxxRcm6ab7PHr0aKCNJuzWrVsnCxculHnz5smnn34qAwcODHmcJk2ayFtvvSXffvutmUtY5ybWtoWJpB0AAMWQXkUUvIQrjam0RGWLFi1k0aJFgXU+n8/cbteuna3HjmSfen9SUlJIm02bNpk5YOw+LgAAAAAAAJxl0qRJMmDAAJMUa9SokUm0lSpVSmbOnBm2/RNPPCFdunSRESNGSMOGDWXcuHFy5plnytNPPx0YZTdlyhQZPXq0GSmnibeXX37ZzCP8zjvvmDYbNmww8wO/8MILZmTfOeecI0899ZS8/vrrpp26++67zb7POussOfnkk2Xo0KHmcd9+++1CPR8k7QAAcPm8LNEu0dKrnZ5//nl56aWXTFAzaNAgOXTokAmmlF5lFDxST0fI6Zy3uui/t2/fbv79008/RbxPLdmpV0xpu08++URWr15t7tOEXdu2bQP70X3qvnWeuyNHjoQ8LgAAQDxiJwAAgCJB57Ozu0RI+2+0z0fLVwYe1us1t1esWBF2G10f3F7pKDqr/ZYtW0w/UXAb7WfS5JzVRv9qScyWLVsG2mh7fWwdmZcbrVZVsWJFKUyJ+dn42WefldTU1II7GgAAEDE7HUl2Op569uwpu3fvNrXANejRGt56NZIVA+joNw1qLHpFUvPmzQO3J06caJb27dubeuCR7FNNnjzZ7LdHjx6Snp5uArBp06aFHNsNN9wgS5cuDdy2HlcDNK2F7jTETgAAFP3YCQWH2AkAgPjxeBPMYmc7deDAgZD1WuUpe6WnPXv2SFZWVo48U2pqqmzcuDHs/rUfKVx7XW/db63Lq03VqlVD7k9MTDQJOatNdm+88YZ8+eWXJj5xbNLu6quvLrgjAQAA0bEzz4rNjqchQ4aYJRwrEWfRZJmWIsjPPpVOJqwTEeuSm+yP7XTETgAAFI/YCQWD2AkAgDjyRD8/XWA7EalVq1bIap2z7r777hM3+uSTT0wFKK0adfrpp7ujPObmzZulQ4cOBbU7AABwHJoX8/s80S3Hz6UhRoidAACILWIndyN2AgAgPiPt7Cxq27ZtppyktQRPrWKpXLmyJCQkSFpaWsj6tLQ0qVatWtjj0vV5tbf+Hq/Nrl27Qu7PzMyUvXv35nhcrfB02WWXmYpQOkVMYSuwpN3BgwdDylMBAIDCxbws7kbsBABAbBE7uRuxEwAAMaaj7GzNafd32qlcuXIhS/bSmCo5OVlatGghixYtCqzz+Xzmdrt27cIelq4Pbq8WLlwYaH/SSSeZxFtwGy3VqXPVWW307759+8x8epbFixebx9a574IrPF1yySXyyCOPyMCBAyUWIi6P+eSTT+Z5//bt2wvieAAAQKR01Fy0I+cYaRczxE4AADgMsZOjETsBAODEpJ2NcV9RbjN8+HDp27evtGzZUlq3bi1TpkyRQ4cOmXKUSke3nXjiiTJ+/Hhze+jQodK+fXt5/PHHTULt9ddfl6+++kqee+45c7/H45HbbrtNHnzwQTnllFNMEu/ee++VGjVqSLdu3Uybhg0bSpcuXWTAgAEyffp0ycjIMFO4XHXVVaadVRLz0ksvNY/Xo0ePwFx3mmjUue/inrTTJ1m9enVzQOEcO3asII8LAADA1YidAAAAiJ0AAEDeevbsKbt375YxY8aYxFizZs1kwYIFkpqaau7funWreIMSgWeddZbMnj1bRo8eLXfffbdJzL3zzjvSuHHjQJs777zTJP50dJyOqDvnnHPMPlNSUgJtXn31VZOou+CCC8z+NTEXfBHRSy+9JIcPHzbJQithqDRhqCPw4p60q1OnjhkC+K9//Svs/WvXrjXDGAEAQGxLPEW7DWKD2AkAAGchdnI2YicAAJzFk5BgFjvbRUuTZ7qEEy5BduWVV5olNzra7oEHHjBLbnS0nCb/cvPiiy+aJdYiHqeoCbng+p7hToJfZ3UGAAAxwbwszkbsBACAsxA7ORuxEwAADmNrPrv/Lij8kXaakdShgLlp1KiRbNmyxf6RAACAqPh9HrNEuw1ig9gJAABnIXZyNmInAAAcxm4CjqRdbJJ2mpTLS1JSkill4BTenSniLeXsjG6JjKPidP79/6vx6mSJSRniBiklMsXpKvlKiBuU9ET89RVXJb3uGIHs8Tj/OBMTnf/5SfTE+Bi11GW05S4pjxkzboudVEK6XxKSnf19kHXM2fGdynJJctwdRymSEvn/ssRNso252ePBDb/3bjpON5Sc9jr8XMb8+IidHM2NsVPmsUzxirP/P+VwRpY4XUKy83/r3cQTNO+TU2nFNjcoleT8//dwFZ+zvy8Nf5I4mt8X8+8TO98pbvgecjJ+FQEAcCnmZQEAACB2AgAAKBQemyPtdDvYFlHKs0uXLrJy5crjtvvrr7/kkUcekalTp9o/IgAAAJcjdgIAACB2AgAAKJSRdldeeaX06NFDypcvL5dddpm0bNlSatSoISkpKfLnn3/K+vXr5fPPP5f58+fLJZdcIo899ljUBwIAAKLDSDvnInYCAMB5iJ2ci9gJAAAH0lK2HhulLl1SAtfVSbv+/fvLNddcI3PnzpU5c+bIc889J/v37w/UINa64507d5Yvv/xSGjZsWNjHDAAATMfT30s0om0Pe4idAABwHmIn5yJ2AgDAgTRhZytpx5x2MZnTrkSJEiZxp4vSpN2RI0ekUqVKZjJgAAAQW1wt7mzETgAAOAuxk7MROwEA4Cx+j9csdrZDDJJ22WmpTF0AAECc+Dx/L9Fug7ggdgIAIM6InVyF2AkAgDhjpJ27knYAACC+uFocAACA2AkAAKDw5rSzcfE3c9rlC0k7AABciqQdAAAAsRMAAECh8Hr/XuxsB9s4ewAAAAAAAAAAAECcMdIOAACXYqQdAAAAsRMAAECh9Dt5vGaxsx3ikLT76quvZMOGDebfDRs2lJYtW+bjMAAAQPQ8JnEX7TaID2InAADijdjJTYidAACIM02+2UnAkbSLbdLut99+k169esmyZcukQoUKZt2+ffvkrLPOktdff11q1qyZvyMCAACR0YRdtEm7qJN8yC9iJwAAHILYyRWInQAAcAiSdnERdZr0hhtukIyMDDPKbu/evWbRf/t8PnMfAACIDb/P3oLYInYCAMAZiJ3cgdgJAACHJe3sLIjdSLulS5fK8uXL5bTTTgus038/9dRTcu6559o/EgAAEBXmtHMHYicAAJyB2MkdiJ0AAHAGv8djc047qjzlR9RnvFatWmakXXZZWVlSo0aNfB0MAABAUUPsBAAAQOwEAABQKCPtHnvsMbnllltk6tSp0rJly8DkwEOHDpWJEyeKU/j2lhTfkaifXkx5s5yfcfalO/scWpJKHhM3SErKEqdLlhRxg0zxixskuWQ0eEKi89+bJVKc/znPzMx5UUth4mpxd3BL7KQ8Gbo4+/vVn5UgTud1fohnJIk7DrSU3x3xqBtkueDzo3w+dwRQPuaJdR1iJ3dwU+zkyzwm4nX279TRLOfXx09IKRHvQyhSElOSxencEi+nJLojJnELjy9THM/n7P4xT6yPjznt4iLqyOK6666Tw4cPS5s2bSQx8e/NMzMzzb+vv/56s1h0vjsAAFA46HhyB2InAACcgdjJHYidAABwCC1zaafUJeUxY5u0mzJlSv4eEQAAFAi//+/Op2i3QWwROwEAUPxiJx0lpiPGdu7cKU2bNpWnnnpKWrduHbbtunXrZMyYMbJ69Wr59ddfZfLkyXLbbbdFvc+jR4/K7bffLq+//rqkp6dL586dZdq0aZKammru/+abb2TChAny+eefy549e6Ru3bpy0003mRFsTkLsBACAQzDSzh1Ju759+xbOkQAAgOhop1O0pbko5RVzxE4AABSv2GnOnDkyfPhwmT59uqlSpEkoTaBt2rRJqlatmqO9VjOqV6+eXHnllTJs2DDb+9RtP/jgA5k7d66UL19ehgwZIt27d5dly5aZ+zUpqG1feeUVM+fu8uXLZeDAgZKQkGDaOgWxEwAAzuD3eM1iZzvYZ+vsbd68WUaPHi29evWSXbt2mXX/+c9/zNVhAAAgtiWeol0Qe8ROAAAUn9hp0qRJMmDAAOnXr580atTIJNpKlSolM2fODNu+VatWZgTdVVddJSVKlLC1z/3798uMGTNMuw4dOkiLFi1k1qxZJjG3cuVK00anM3niiSekffv2Jkl4zTXXmP29/fbb4jTETgAAOIAm37w2FpJ2sU3aLV26VM444wz54osvTGB38ODBQJmFsWPH5u9oAABAxEjauQOxEwAA7o+dDhw4ELJo+clwjh07Zka0dezYMbDO6/Wa2ytWrLB13JHsU+/PyMgIadOgQQOpXbt2no+ryb6KFSuKkxA7AQDgsPKYdhbYFvXZGzlypDz44IOycOFCSU5ODqzXK7msq7cAAABA7AQAQFGh5SS15KS1jB8/Pmw7nSsuKysrMI+cRW/rXHR2RLJP/at9NBUqVIj4cXUUnpbd1BKZTkK/EwAAKM6intPuu+++k9mzZ+dYr3XRNZAEAACx4ff9vUS7DWKL2AkAAPfHTtu2bZNy5coF1udWxtItvv/+e+nataupmNSpUydxEmInAAAcwu6oOUba5UvUZ1yv2vr9999zrP/666/lxBNPzN/RAACAiFEe0x2InQAAcH/spAm74CW3pF3lypUlISFB0tLSQtbr7WrVqtk67kj2qX+1jOa+ffuO+7jr16+XCy64wIywGz16tDgNsRMAAA5BeUx3JO10YuS77rrLlFfweDzi8/lk2bJlcscdd0ifPn0K5ygBAEAOJO3cgdgJAIDiEztpicoWLVrIokWLAuu030Rvt2vXztZxR7JPvT8pKSmkzaZNm2Tr1q0hj7tu3To5//zzpW/fvvLQQw+JExE7AQDgDH6PR/wer40luvgJ+SyP+fDDD8vgwYNNPXetqd6oUSPz9+qrr3bkFVoAABRVdjqSom2P/CN2AgCgeMVOw4cPN0mxli1bSuvWrWXKlCly6NAh6devn7lfL3jWSkXWvHg6Qk5Hv1n/3r59u6xdu1bKlCkj9evXj2ifOs9e//79TbuKFSua0YC33HKLSdi1bds2UBKzQ4cO0rlzZ9POmutOR/FVqVJFnILYCQAAh6A8pjuSdnqF1/PPPy9jxowxdcYPHjwozZs3l1NOOaVwjhAAAIRF0s4diJ0AAChesVPPnj1l9+7dpt9EE2PNmjWTBQsWSGpqqrlfR795vf8rfLRjxw7Tr2KZOHGiWdq3by9LliyJaJ9q8uTJZr89evSQ9PR0k5ybNm1a4P4333zT7OOVV14xi6VOnTryyy+/iFMQOwEA4BA6Ys7OqDlG2sW2POYDDzwghw8fNiPtLr74YvnXv/5lEnZHjhwx9wEAgNigPKY7EDsBAFD8YqchQ4bIr7/+apJnX3zxhbRp0yZwnybiXnzxxcDtunXrit/vz7FYCbtI9qlSUlJk6tSpsnfvXjMK7+233w6Zz+6+++4L+zhOStgpYicAAIrfnHYaw2hMlJKSYmKcVatW5dl+7ty50qBBA9P+jDPOkPnz54fcrzGOXuxUvXp1KVmypHTs2FF+/PHHkDYaM/Xu3dtUKNA5dbVqgQ5SC/btt9/Kueeeax5Hc2KPPvqoFLaoz97999+f48CVJvL0PgAAABA7AQAA2EG/EwAAxcucOXNM6e6xY8fKmjVrpGnTpqZiwK5du8K2X758ufTq1csk2b7++mvp1q2bWbQUuEWTa08++aRMnz7dXOxUunRps8+jR48G2mjCTuf7XbhwocybN08+/fRTGThwYOD+AwcOSKdOnUxVgtWrV8tjjz1mLoJ67rnnnJW00wylJ8zwxm+++cbUTQcAALHBSDt3IHYCAMAZiJ3cgdgJAABn8Hu8tpdoTJo0SQYMGGDm6m3UqJFJtJUqVUpmzpwZtv0TTzwhXbp0kREjRkjDhg1l3LhxcuaZZ8rTTz/993H7/Wb+39GjR0vXrl2lSZMm8vLLL5uS5O+8845ps2HDBlNq/IUXXjAj+8455xx56qmn5PXXXzft1KuvvmrmG9bjOP300+Wqq66SW2+91RyvI+a0O+GEE0yyTpdTTz01JHGXlZVlRt/ddNNNhXWcAAAgOy3X5IuyZJPNEk+IHrETAAAOQ+zkaMROAAA4jM1Sl9Y2OlItWIkSJcwSTJNiOopt1KhRgXVer9eUs1yxYkXY3et6HZkXTEfRWQm5LVu2mDmAdR+W8uXLm+ScbqvJN/2rJTFbtmwZaKPt9bF1ZN7ll19u2px33nlmvt3gx3nkkUfkzz//NLFLXJN2mpnUDOX1119vShXok7ToQWu90Xbt2olTeCsdFm/pBHG0RJ84ne/3iN8icXXkQGlxg30HSorTHfZkiht4XZJ4SEzwixskJjr/dU8ucUyc7lhCbI/RzjwrdudlQfTcFjuprFIeySplIyCPIX+0ieo4OHzU4THofx3wZIkbHPRkiNP53fFzLwkJ7njNk5Kd/5qrEsnOj59KlUwXR8uK7fEROzmbG2MnN0hJcHZsp44dOCRu4Jbj9Ptc0N/oktgpyyVBXkaWO47TXypFnM6fFJpQchp/UoxjJ4/HLHa2UzoHXDAtf6nlJYPt2bPHDApLTU0NWZ+amiobN24Mu39NyIVrr+ut+611ebWpWrVqyP2JiYmmmmRwm5NOOinHPqz74p6069u3r/mrB3n22WebJwAAAOKHjidnI3YCAMBZiJ2cjdgJAABn0by1ndy1tc22bdukXLlygfXZR9khvKgvtylbtqyp92l59913zSR/d999txnKCAAAYhs8RbvYMXXqVHN1c0pKiiknsGrVqlzb6iS+PXr0MO21nLZeNW1nnzo58ODBg6VSpUpSpkwZs8+0tLSQNlu3bpVLLrnE1DrXK6S0nnlmprNGPhA7AQBQ/GIn2EfsBACAM/j8ftuL0oRd8BIuaVe5cmVJSEjI0d+TlpYm1apVC3tcuj6v9tbf47XZtWtXyP3an7R3796QNuH2EfwYjkja3XjjjfLDDz+Yf//888/Ss2dP01E2d+5cufPOOwvjGAEAQBzNmTPH1ArXMgZr1qyRpk2bmhre2YMby+HDh6VevXoyYcKEXIOYSPY5bNgwef/9902MsXTpUjMRcPfu3QP3a/kETdjpRUPLly+Xl156SV588UUZM2aMOAmxEwAAALETAADISUtgt2jRQhYtWhRY5/P5zO3cymLr+uD2auHChYH2Wi1S+6OC2+j8ejpXndVG/+7bt8/Mp2dZvHixeWy9sNxq8+mnn0pGRkbI45x22mmFVhrTVtJOE3bNmjUz/9ZOtPbt28vs2bNNJ9lbb70V1b5uvfXWwFX4a9euDazv1KmTNGnSxDzOueeeK19//XW0hwkAQNH33zntoll0m2hNmjRJBgwYIP369ZNGjRrJ9OnTzQU7M2fODNu+VatW8thjj5mJfXMrfXC8fe7fv19mzJhh2nXo0MEEcLNmzTLJuZUrV5o2H330kaxfv15eeeUVEzNcdNFFMm7cODOCz0mj/4mdAAAoXrET8ofYCQAAZ/DnY4mGXtT9/PPPm4uxN2zYIIMGDZJDhw6ZPiPVp08fGTVqVKD90KFDZcGCBfL444+bee90nryvvvpKhgwZYu7XfNNtt90mDz74oLz33nvy3XffmX3UqFHDVI1UDRs2lC5dupi+Ka38tGzZMrO99mVpO3X11VebpGL//v1NVSm9AP2JJ54wx1uYok7a6aTAmm1UH3/8sVx88cWBSQV10sBoXHHFFfL5559LnTp1Qta/8cYb8u2335pEnp6A6667LtrDBACgyIu20yl4Hhe9wih4SU8PP5mxJr/0qqOOHTsG1nm9XnN7xYoVto47kn3q/XolU3CbBg0aSO3atQNt9O8ZZ5wRMrGwjtbT56PBlFMQOwEA4P7YCbF8neh3AgDACXx++0s0tJrjxIkTTeWkZs2ambyQJuWs/h6dGuX3338PtD/rrLPMQLLnnnvOVG5688035Z133pHGjRsH2mhVyFtuuUUGDhxoLi4/ePCg2adO0WJ59dVXTV/TBRdcYPJc55xzjtmnpXz58uaC8S1btpiLyW+//XZzjLrPwpQY7QYtW7Y0GUrtRNNSVc8884xZrwce3GkWifPOOy/s+goVKgT+rVfaa2YUAACEstORZLXXi22CaZlKvTIpO70gR8tQZv+N19t6NZMdkexz586d5mqm4JjAaqP3WW3C7cO6zymInQAAcH/shNghdgIAwDkX0uhiZ7to6Sg3a6RcdkuWLMmx7sorrzRLbjSn9MADD5glNxUrVjTJv7xoRcjPPvtMYinqpN2UKVOkd+/eJnN5zz33SP369c16zWZqhrOg6HDFTz75xPx7/vz5ubbTkQHBowP06noAAIqD/HQ8bdu2zUwCbMmtjCXyz2mxkyJ+AgAURyTt3IHYCQAAZ7Azas7aDjFM2mlmUWuAZqdz1yQkJEhBefnll81frWN611135dr5NH78eLn//vsL7HEBAHALv89jlmi3UZqwC07a5aZy5crm9z0tLS1kvd7WSX3tiGSf+lfLaOqkwMGj7bK30brj2fdh3ecUToudFPETAKA4yk/shNghdgIAwDnIv8Ve1HPa5UZrgSYlJUlB69u3r7lq/I8//gh7v05AqCU0rUVHDgAAUBxotYHo52WJ7jG0RKXW7V60aFFgnc5tq7fbtWtn67gj2afer3FFcJtNmzaZOuZWG/2rybBdu3YF2ixcuNAkIxs1aiROF6/YSRE/AQCKo1jETig8xE4AABTNOe2Qz5F2hU2vqD98+LDUqFHD3NZSUpUqVTL1RcPRcl6U9AIAoPAMHz7cJIJ0fpHWrVubkkWHDh2Sfv36BcoynnjiiWb0ltIRcuvXrw/8e/v27WYS4TJlygRKQx5vnzrZb//+/U07jQE0EacTCGuirm3btqZNp06dTHLu2muvlUcffdTMYzd69GgZPHhwsYoNoo2dFPETAAAoroidAACAk8U1aXfjjTfKBx98YDrZOnfuLGXLljVX1OsEgkeOHBGv1ytVqlSRefPmmYkDAQBA7Odl6dmzp+zevVvGjBljfrObNWsmCxYskNTUVHO/jn7T32zLjh07pHnz5oHbEydONEv79u0Dkwcfb59q8uTJZr89evQwc7BprDBt2rTA/VpaUmOEQYMGmWRe6dKlTSIwr0mG3Y7YCQAA+5jTrvghdgIAwD6/328WO9vBpUm7Z599Nuz67PPTAACA+HY8DRkyxCzhWIk4S926dSMK0PLap1UCaerUqWbJTZ06dfKcu62oIXYCAMA+knbFD7ETAAD2+f672NkOMZzTTq9e1xJM2enIuKJ8ZTsAAE4T/Zws0Sf5kH/ETgAAOAOxkzsQOwEA4KT5gO0tiGHS7v7775eDBw/mWK+JPL0PAADEBh1P7kDsBACAMxA7uQOxEwAAzuDz218Qw/KYWu4q3Pxy33zzjVSsWDEfhwIAAJxaHhP2ETsBAOAMxE7uQOwEAIAzMKedw5N2J5xwgknW6XLqqaeGJO6ysrLM6LubbrpJHEM7JX3O7pg89EVdcbrt39QTN1j5eVNxg9/3lRCnK+XPEDeo7UsWN2h5xi/iBo3arhenSyp9VJzuQHqGyCfxPgo4hetiJxHJKJspGeUcXn0+M+pCETG3/Uhcp42O2K+JB8QNtntzVvlwGk9WFXGDkinHxA2SS7jjOMuVOSJOd0LF/eJkyZnOj+8QO26MnY7s2y3epBRxsq37nf85O79caXGDxD/cETsd3rlXnM7r7C7bgCSv8//fQ5Uv4Y7j9B7eKU6XlejwvluGsBULEfcoTJkyxWRWr7/+elOqoHz58oH7kpOTpW7dutKuXbvCOk4AAJANV4s7G7ETAADOQuzkbMROAAA4i17Sa+eyXodfClx0knZ9+/Y1f0866SQ5++yzJTHRHVcQAwBQpDueohxVTnnM2CF2AgDAWYidnI3YCQAAZ9Gp6fw25qdjSrv8iXrsbNmyZWXDhg2B2++++65069ZN7r77bjl2zB1lTAAAKEpXi0e7ILaInQAAcAZiJ3cgdgIAwBl8fr/tBTFM2t14443yww8/mH///PPP0rNnTylVqpTMnTtX7rzzznwcCgAAiIbGQHYWxBaxEwAAzkDs5A7ETgAAOGiknc0FMUzaacKuWbNm5t+aqGvfvr3Mnj1bXnzxRXnrrbfycSgAACAaPr/H1oLYInYCAMAZiJ3cgdgJAABn8PntL7Av6onp/Dq80ff3VIIff/yxXHrppebftWrVkj179uTjUAAAQHS/ydGXu6Q8ZuwROwEA4AzETu5A7AQAgEPYrdhE0i62I+1atmwpDz74oPzf//2fLF26VC655BKzfsuWLZKampq/owEAAChiiJ0AAACInQAAAAolaTdlyhRZs2aNDBkyRO655x6pX7++Wf/mm2/KWWedFe3uAACAXf8daRfNotsgtoidAABwCGInVyB2AgDAGXzit70ghuUxmzRpIt99912O9Y899pgkJCTk41AAAEA0KPHkDsROAAA4A7GTOxA7AQDgDH6b5TFtldSE/aRdblJSUgpqVwAAIAJ0PLkbsRMAALFF7ORuxE4AAMSWz//3Ymc7xDBpl5WVJZMnT5Y33nhDtm7dKseOHQu5f+/evfk4HAAAECm/zyN+jyfqbRBbxE4AADgDsZM7EDsBAOAMjLRzyZx2999/v0yaNEl69uwp+/fvl+HDh0v37t3F6/XKfffdVzhHCQAAcoh2Pjs7V5cj/4idAAAofrHT1KlTpW7dumZ0WJs2bWTVqlW5tl23bp306NHDtPd4PGZONzv7PHr0qAwePFgqVaokZcqUMftMS0sLaaMXX19yySVSqlQpqVq1qowYMUIyMzPFSYidAABwBua0c0nS7tVXX5Xnn39ebr/9dklMTJRevXrJCy+8IGPGjJGVK1cWzlECAAC4FLETAADFy5w5c8wFzmPHjpU1a9ZI06ZNpXPnzrJr166w7Q8fPiz16tWTCRMmSLVq1Wzvc9iwYfL+++/L3LlzZenSpbJjxw5zkXXwCDZN2GnFpOXLl8tLL70kL774ounPcRJiJwAAUJxFnbTbuXOnnHHGGebfeuWWjrZTl156qXzwwQcFf4QAACAsRtq5A7ETAADFK3bS6kQDBgyQfv36SaNGjWT69OlmZNvMmTPDtm/VqpU89thjctVVV0mJEiVs7VP7ZmbMmGHadejQQVq0aCGzZs0yyTnrAuuPPvpI1q9fL6+88oo0a9ZMLrroIhk3bpwZwZd96pN4InYCAMBZ5THtLIjhnHY1a9aU33//XWrXri0nn3yyCfrOPPNM+fLLL3MNLuPBvz9F/BkJ4mRH/ywtTpd+xDmvaV4yHP5aW5K9zv/GKpHpjtJ57njFRVJKHhU3KFH2sDhdQkqGOF2SN7bHaKcjifKYseeW2EklpCdKQrqzv2Ezspx9fLauiouTBJeUyy3pj/p/WWLO63F+jOcmvix3fIq8Xp84ncfh781YH19+YqcDBw6ErNff8HC/45r8Wr16tYwaNSqwTqcT6dixo6xYscLWcUeyT70/IyPDrLM0aNDAxB/apm3btuavXoSdmpoaaKOj9QYNGmRKdDZv3lycwE2xkxtk+FzwXZXi/P4xlVgyWdzAm+T82MkdUahIgtcdR1oi0R3HKUedVY45HE+Ws/ueYn18Pr/fLHa2g31R/9/Q5ZdfLosWLTL/vuWWW+Tee++VU045Rfr06SPXX399Pg4FAABEw+fXxRPlwjmONWInAADcHzvVqlVLypcvH1jGjx8f9jH27NljylAGJ8aU3tYRZHZEsk/9m5ycLBUqVMizTbh9WPc5BbETAADOkOWzv8C+qC+90Brrlp49e0qdOnVMuQVN3F122WX5OBQAABANRtq5A7ETAADuj522bdsm5cqVC6xnxFfhIXYCAMAZGGkXH/keL60lFnQBAACxRdLOnYidAABwX+ykCbvgpF1uKleuLAkJCZKWlhayXm9Xq1YtyiOOfJ/6V8to7tu3L2S0XfY2q1atyrEP6z6nInYCACB+SbssymM6vzymloAIN3myrnvkkUcK6rgAAMBxmMl9fVEulMeMOWInAACKT+ykJSpbtGgRmFZE+Xw+c7tdu3a2jjuSfer9SUlJIW02bdokW7duDbTRv999953s2rUr0GbhwoUmGdmoUSNxCmInAACcVFrcb2OJ95EXs6Tds88+ayYzzu7000+X6dOnF9RxAQAAFAnETgAAFC/Dhw+X559/Xl566SXZsGGDDBo0SA4dOiT9+vUz9/fp00dGjRoVaK8j5NauXWsW/ff27dvNv3/66aeI96nz7PXv39+0++STT2T16tXmPk3UWdWROnXqZJJz1157rXzzzTfy4YcfyujRo2Xw4MGOKvdJ7AQAAHKzd+9e6d27t7noSKsLaPxz8OBBycvRo0dNvFOpUiUpU6aM9OjRI0cFA73Q6ZJLLpFSpUpJ1apVZcSIEZKZmRnSZsmSJXLmmWeauKl+/fry4osv5rjwqFWrVlK2bFmzj27dupmLqAq9PKZOTly9evUc66tUqSK///571AcAAADsoTymOxA7AQBQvGKnnj17yu7du2XMmDEmDmjWrJksWLBAUlNTA51CXu//rqHesWOHNG/ePHB74sSJZmnfvr3pHIpkn2ry5Mlmv9oRlZ6eLp07d5Zp06YF7tcSm/PmzTMJP03mlS5dWvr27SsPPPCAOAmxEwAAzpDl+3uxs11h6d27t8lDabWAjIwMc5HSwIEDZfbs2bluM2zYMPnggw9k7ty55kKnIUOGSPfu3WXZsmV/H29WlknYabnw5cuXm/3rRVZaxeDhhx82bbZs2WLa3HTTTfLqq6+a6gY33HCDyZVpzKWWLl1qkoOauNOE3913320umlq/fr2JuwotaVerVi3zZE466aSQ9bquRo0a0e4OAADY5PN7zBLtNogtYicAAIpf7KSdQbqEYyXiLHXr1hV/BHU489qnSklJkalTp5olN3Xq1JH58+eLkxE7AQDgDFa5SzvbFYYNGzaYi5a+/PJLadmypVn31FNPycUXX2wueAqXn9q/f7/MmDHDJPU6dOhg1s2aNUsaNmwoK1euNBUJPvroI5NY+/jjj80FUXpx1Lhx4+Suu+6S++67z5Qq1yqTmhN7/PHHzT50+88//9xcNGUl7fTYgulIPB1xpxUQzjvvvMJL2g0YMEBuu+02k8W0nqRmFe+88065/fbbo90dAACwiZF27kDsBACAMxA7uQOxEwAAzpDl95vFznbqwIEDIeu1rGR+SnKvWLHClMS0EnaqY8eOptLAF198IZdffnmObTRhprksbWfR6d9q165t9qdJO/17xhlnhFQw0EScVidYt26dqYigbYL3YbXRXFluNGGoKlasGNXzjDppp7U8//jjD7n55ptNrXXrai7NOgbXZAcAAIWLjid3IHYCAMAZiJ3cgdgJAABn0CqXPhuD5nxBo+eDjR071oxcy08J7apVq4asS0xMNEkxvS+3bXSknCb7gmmCztpG/wYn7Kz7rfvyaqOJySNHjkjJkiVD7vP5fCahd/bZZ0vjxo0LN2nn8XjkkUcekXvvvdcMR9SDOeWUUxw1aTEAAMUBHU/uQOwEAIAzEDu5A7ETAADOkOXzm8XOdmrbtm1Srly5wPrcckgjR440Oae8bNiwQdxE57b7/vvvTQnNaEWdtLNoZnHv3r2mFqeebK2/roEVAACIXcdTtPOs6DaID2InAADii9jJXYidAACIL8352JmfzpqrVxN2wUm73Oi0a9ddd12eberVqyfVqlWTXbt2hazPzMw0eSq9LxxdrxUj9+3bFzLaLi0tLbCN/l21alXIdnq/dZ/111oX3EafX/ZRdjoH8bx58+TTTz+VmjVrSrS80W6gpTEvuOACOfXUU80Ef7///rtZ379/f+a0AwAAIHYCAACwjX4nAACKlypVqph55vJakpOTpV27dib5pvPUWRYvXmxKUbZp0ybsvlu0aCFJSUmyaNGiwLpNmzbJ1q1bzf6U/v3uu+9CEoILFy40CblGjRoF2gTvw2pj7cNKVmrC7t///rc5rpNOOsnW+Yg6aTds2DDzJPVJlSpVKrC+Z8+esmDBAlsHAQAAoqcXLtlZEFvETgAAOAOxkzsQOwEA4AxZfvtLYWjYsKF06dJFBgwYYEbGLVu2zCTJrrrqKqlRo4Zps337dpPks0bOlS9f3gw4Gz58uHzyyScm4devXz+TbGvbtq1p06lTJ5Ocu/baa+Wbb76RDz/8UEaPHm1KXFolPW+66Sb5+eef5c4775SNGzfKtGnT5I033jBxi0Xbv/LKKzJ79mwpW7asqRqgi855V6jlMT/66CNz0NmH9em8dr/++mu0uwMAADb5fR7xS5TlMX2Ux4w1YicAAJyB2MkdiJ0AAHAGn83ymHa2idSrr75qEnVaDdLr9UqPHj3kySefDNyfkZFhRtIdPnw4sG7y5MmBtunp6dK5c2eTdLMkJCSYcpaDBg0yybzSpUtL37595YEHHgi00VFzH3zwgUnSPfHEEyY/9sILL5h9WZ555hnz9x//+EfIMc+aNeu45T/zlbQ7dOhQyAg7i9YNzW0iQQAAUDjzskQ7Rx1z2sUesRMAAM5A7OQOxE4AADhDls9vFjvbFZaKFSuakWy5qVu3bmBOPUtKSopMnTrVLLmpU6eOzJ8/P8/H1mTc119/nev92R/XrqiTdueee668/PLLMm7cOHPb4/GYmqGPPvqonH/++eIUmX+WksyjUT+9mDq0t6w43cEDpcUNMjITxA2SEpxfl+6EDGd/biwVE51/LlVKyXRxg4QSmeJ03qQscTpvli+mj+fze8wS7TaILbfETsqTKeLJEGdzwWhR5x/h37wuOdLk6Cv6x5zHHacSBYwLYdyH2Mkd3BQ7+TKPiXic/Tu177DTgzsRb2nn94+phJTkeB9CkZEgsf1/Z7uSvO4I8hJcEox6so6J4/md/t6Mdb+T80baFQdR985rkKRDD7/66is5duyYqeG5bt06M9JOa4gCAIDYsDNHHXFT7BE7AQDgDMRO7kDsBACAM9idn66w5rQrLqK+HKhx48byww8/yDnnnCNdu3Y1ZQu6d+9uhgWefPLJhXOUAAAALkXsBAAAQOwEAABQ4CPtdBK/Ll26yPTp0+Wee+6JZlMAAFDAmJfF+YidAABwDmIn5yN2AgDAOSiP6YKkXVJSknz77beFdzQAACBizMvifMROAAA4B7GT8xE7AQDgHD6f3yx2tkMMy2Nec801MmPGjHw8JAAAKMh5WaJdEFvETgAAOAOxkzsQOwEA4Ayae8uysZCzi+FIO5WZmSkzZ86Ujz/+WFq0aCGlS5cOuX/SpEn5PCQAABAJSjy5A7ETAADOQOzkDsROAAA4A+UxXTLS7vvvv5czzzxTypYtKz/88IN8/fXXgWXt2rWFc5QAACDXEk/RLnZMnTpV6tatKykpKdKmTRtZtWpVnu3nzp0rDRo0MO3POOMMmT9/fsj9aWlpct1110mNGjWkVKlSZs7cH3/8MaTN5s2b5fLLL5cqVapIuXLl5F//+pfZLtiaNWvkwgsvlAoVKkilSpVk4MCBcvDgQUe9W4idAAAofrET7CN2AgDAGbL8ftsLYjjS7pNPPsnHwwEAgAIt8eSLfptozZkzR4YPHy7Tp083CbspU6ZI586dZdOmTVK1atUc7ZcvXy69evWS8ePHy6WXXiqzZ8+Wbt26mQRb48aNxe/3m9s6Z8m7775rEnI6Ur9jx46yfv16M4r/0KFD0qlTJ2natKksXrzY7Pfee++Vyy67TFauXCler1d27NhhtunZs6c8/fTTcuDAAbnttttMMvDNN98UpyB2AgCgeMVOyB9iJwAAnIE57Vwy0i7Yb7/9ZhYAAFB0aUJtwIAB0q9fP2nUqJFJ3unoOC2XHc4TTzxhRs6NGDFCGjZsKOPGjTOj9DWxpnREnSbennnmGWnVqpWcdtpp5t9HjhyR1157zbRZtmyZ/PLLL/Liiy+akXq6vPTSS/LVV18Fknjz5s0ziT8dBaj70H3psb311lvy008/iRMROwEAABA7AQAAFFjSzufzyQMPPCDly5eXOnXqmEVLUmmHnN4HAABiOy9LtIvSUWnBS3p6etjHOHbsmKxevdqMaLPoKDe9vWLFirDb6Prg9kpH5lntrcfS0pnB+yxRooR8/vnngTYej8ess2h7bRfcJjk52ayzlCxZ0vy12jgBsRMAAO6PnRA7xE4AADhDlimRaWOJ94EXt6TdPffcY66UnzBhQmAuu4cfflieeuopU7YKAAA4f16WWrVqmQtwrEVLWYazZ88eycrKktTU1JD1envnzp1ht9H1ebXXue5q164to0aNkj///NMkBh955BEzCu333383bdq2bWvKZN51111y+PBhUy7zjjvuMMditenQoYPZ52OPPWb2ofsaOXKkuc9q4wTETgAAOANz2rkDsRMAAM7g8/ttL4jhnHZamuqFF16Qf/7zn4F1TZo0kRNPPFFuvvlmeeihh/JxOAAAIGI6L0u0p+u/G2zbts3MJWcJHtFW2LSk5dtvvy39+/eXihUrSkJCghmZd9FFF5n57lSVKlVk7ty5MmjQIHnyySfNaDqdJ0/LbFoj604//XQTl+h8e5oA1P3ceuutJkEYPPou3oidAABwf+yE2CF2AgDAGbL8frPY2Q4xTNrt3bvXXCGfna7T+wAAQGz4/CI+8US9jdKEXXDSLjeVK1c2ybC0tLSQ9Xq7WrVqYbfR9cdr36JFC1m7dq3s37/fjJLTJF2bNm2kZcuWgTadOnWSzZs3m9F+iYmJphy37qNevXqBNldffbVZdP86Mk9LauocfMFt4o3YCQAA98dOiB1iJwAAnMHn80uWjWBIt4N9UV+G3rRpU1MeMztdp/cBAIDY0AuX7CzR0DnjNMG2aNGikHlG9Ha7du3CbqPrg9urhQsXhm2vpTk1Yffjjz/KV199JV27dg2bONSE3eLFi2XXrl0ho/0tOrquTJkyMmfOHDP33YUXXihOQewEAEDxiZ2Qf8ROAAA4gybs7C6I4Ui7Rx99VC655BL5+OOPA51vK1asMGW25s+fn49DAQAATqTlJ/v27WtGwbVu3VqmTJli5pjr16+fub9Pnz6mTLY1L97QoUOlffv28vjjj5uY4fXXXzcJueeeey6wTy19qck6ndvuu+++M9t069bNjK6zzJo1Sxo2bGjaaayhbYYNGyannXZayEVDZ511lknYaWJwxIgRZt5dTfI5BbETAAAAsRMAAEChJO20E+6HH36QqVOnysaNG8267t27m/nsatSoIU5xYEtV8ZdIEif77ada4nS70yqKG7gleV+hzDFxujr+2M1rlR+pJxwRNyhd9pC4QUJJ5783E8scFadLSs6M6eP5/R7xR1niSbeJVs+ePWX37t0yZswY2blzpzRr1kwWLFhgRreprVu3hswhp0m02bNny+jRo+Xuu++WU045Rd555x1p3LhxoM3vv/9ukoFa1rJ69eom8XfvvfeGPO6mTZvMXHVaIqlu3bpyzz33mKRdsFWrVsnYsWPl4MGDplT3s88+K9dee604iVtiJ5Vw1C8JSc7+Uc3KSBCnc/YZ/J+EKL8/4iXFH/X/ssRcYoJbXnV38Hg4n3B37ITiEzsdO/ineBKd/f/QO/c5//+dE+pWFTfwJm2J9yEUGZ70g+IGZZJLixukJLrktyrD+X1Pnkxn9z3F+vjsjppjpF3+RPx/wD///LOcdNJJZq4YDZIeeuihfD40AADI/7ws0W9jx5AhQ8wSzpIlS3Ksu/LKK82Sm1tvvdUsedERc7rk5eWXXxanInYCAKD4xk6IHrETAADOkuWzl4DT7RCDOe30Knm9yj74qnu9Oh4AAMQH87I4G7ETAADOQuzkbMROAAA4C3PaOTxp5882+7LOX6fz2QAAgPjw+T22FsQGsRMAAM5C7ORsxE4AADgLSTuHJ+0Kg5bF0jlqtOTm2rVrzbo//vjDzJVjLaeeeqokJiaa+WwAAMD/cLV48UPsBACAfcROxQ+xEwAA9vn+O6ddtItuhxjMaaeJNV2yr8uPK664Qu68804555xzAusqVaoUSOCpiRMnytKlS6VixYr5eiwAAIpkx5ONbRAbxE4AADgLsZOzETsBAOAsWf6/k3B2tkMMknZapuC6666TEiVKmNtHjx6Vm266SUqXLh3S7u233474wc8777zjtpkxY4aMHz8+4n0CAAA4AbETAADF19SpU+Wxxx6TnTt3StOmTeWpp56S1q1b59p+7ty5cu+998ovv/xi5nZ75JFH5OKLLw7cn5aWJnfddZd89NFHsm/fPtOfovvUtpbNmzfLHXfcIZ9//rmkp6dLly5dTJvU1NRAmx9++EFGjBghy5Ytk2PHjkmTJk1k3Lhxcv7550u8ETsBAABEkbTr27dvyO1rrrmm0M/f8uXL5c8//5RLL7001zYaiOpiOXDgQKEfFwAAjpmXRaIb9c6cdrHj1NhJET8BAIqjWMVOc+bMkeHDh8v06dOlTZs2MmXKFOncubNs2rRJqlatGvb3u1evXuaCZf0Nnz17tnTr1k3WrFkjjRs3NsksvZ2UlCTvvvuulCtXTiZNmiQdO3aU9evXm4upDx06JJ06dTIJwsWLF5v9ahLwsssuk5UrV4rX+/fsKLp/TfRpm5IlS5pj03Wa8KtWrZrEE7ETAADOYpW7tLMdYpC0mzVrVszPs46y69Onj5nTLjca1N5///0xPS4AAJxAQ6Coy2MW0rHAPbGTIn4CABRHsYqdNKE2YMAA6devn7mtybsPPvhAZs6cKSNHjszR/oknnjCj4nQEnNKRbwsXLpSnn37abPvjjz+axNv3338vp59+umnzzDPPmCTba6+9JjfccIMZOaej9L7++muT1FMvvfSSnHDCCSZBpwm+PXv2mH1pvKAj7NSECRNk2rRpZt/xTtoROwEA4Cwk7eLj70utHOjgwYPyxhtvyPXXX59nu1GjRsn+/fsDy7Zt22J2jAAAxJNeuGRnQdEUaeykiJ8AAMVRLGInLTm5evVqkySz6Cg3vb1ixYqw2+j64PZKR+ZZ7a3qQikpKSH71OlLtBSm1UbnhLOmNLHaazurTaVKleS0006Tl19+2YzMy8zMlGeffdaM/mvRooUUN8ROAADkLdPnt70gBiPtYk3LSWhZhwYNGuTZTgPS4KAUAIDiwi8es0S7DYqmSGMnRfwEACiO8hM7ZZ+KI7ffUh3NlpWVFTKPnNLbGzduDPsYOu9duPa6Xulve+3atc1FN5pk03KYkydPlt9++01+//1306Zt27Zmvc579/DDD5uSmjqqT4/FaqNJvY8//tiU2ixbtqxJ6GnCbsGCBWZEXnFD7AQAQN4YaVcMR9rdeOONUrNmTRNo6lVk9evXD9yn5Rr69+8fz8MDAMDR/DauFNdt4F7ETgAAxCd2qlWrlpQvXz6waKnpWNG57N5++2354YcfpGLFilKqVCn55JNP5KKLLgrMVVelShWZO3euvP/++1KmTBlzjPv27ZMzzzwz0EYTeYMHDzaJus8++0xWrVplEng6752V2CtqiJ0AALDP99857aJddDu4dKSdXiGWG52IGQAAAMROAADEm07FYc0Vp3Kr+FO5cmVJSEiQtLS0kPV6O7c543T98dpr+cq1a9eaaUG0BKcm6dq0aSMtW7YMtOnUqZNs3rzZjPbT+W0rVKhg9lGvXj1zv85tN2/ePPnzzz8Dz0Xns9P583T+u3Dz7bkd/U4AAMBtHDunHQAAyJvf5gIAAFAc5Sd20iRX8JJb0i45Odkk2BYtWhRY5/P5zO127dqF3UbXB7dXmkgL115H0GnC7scff5SvvvpKunbtGjZxqAk7TdLt2rVL/vnPf5r1hw8fNn+tkXcWva3HCAAAECzL77e9FJa9e/dK7969TTym8Y5Wa9R5avNy9OhRU21A5/fVigQ9evTIccHU1q1b5ZJLLjEVDbQqwYgRI8z8v8GWLFliqhhoHKhVI1988cVcH3PChAmmNPltt90W9XMkaQcAgEtFW97JWgAAAIqjWMVOw4cPl+eff96MXtuwYYMMGjRIDh06JP369TP39+nTx8xPZxk6dKiZV+7xxx83897dd999JiE3ZMiQQBstfakdRT///LO8++67cuGFF5rSljq6zjJr1ixZuXKlGW33yiuvyJVXXinDhg2T0047zdyvSUCdu65v377yzTffmHKb2iG1ZcsW00kFAAAQzE5pTLvz4EWqd+/esm7dOnOBk1YQ+PTTT2XgwIF5bqPxkJYQ13hq6dKlsmPHDunevfv/nmdWlomFtJqBVoDUGE4TcmPGjAm0seKl888/31Q/0GTcDTfcIB9++GGOx/vyyy/NaP8mTZq4rzwmAACwz87IOXJ2AACguIpV7NSzZ0/ZvXu36ejZuXOnNGvWzCTlUlNTA1dyB492O+uss2T27NkyevRoufvuu+WUU06Rd955Rxo3bhxoo3POaTJQrwqvXr26Sfzde++9IY+7adMmkwzUK9Dr1q0r99xzj+mkCh6Bp8eh6zt06CAZGRly+umnmyRg06ZNbTxTAABQlNlNwBVW0m7Dhg0mltGkmFUi/KmnnpKLL75YJk6cKDVq1MixjZYWnzFjhom1NP6xLnRq2LChudipbdu28tFHH8n69evl448/NvGaxm7jxo2Tu+66y1xMpZUUpk+fLieddJK5yErp9p9//rlMnjxZOnfuHHg8HfWniUW9gOvBBx+09TyLbNJuxw81pUxS+HIVTrF6bX1xusxMj7hB6ZKhQ1WdqnLFv8TpSpdKFzc4oULew56donT5Q+IGSeX/LpXjZAmVnX8uEw9nxfTxzNXfNrYBcpN4SCTR4+w3SdaxpHgfQpFRwu+Oohvl/MnidAleZ39uLD6fO15zv98d/w/iBt4EZ5c89Pp9RTZ20lFywSP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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Identify peak (top 25%) and off-peak (bottom 25%) samples by mean demand\n", "mean_demand = y_target[:EXT_BATCH, :, 0].mean(axis=1) # (EXT_BATCH,)\n", "threshold_hi = np.percentile(mean_demand, 75)\n", "threshold_lo = np.percentile(mean_demand, 25)\n", "\n", "hi_idx = np.where(mean_demand >= threshold_hi)[0]\n", "lo_idx = np.where(mean_demand <= threshold_lo)[0]\n", "print(f'High-demand samples : {len(hi_idx)} (mean demand >= {threshold_hi:.2f})')\n", "print(f'Low-demand samples : {len(lo_idx)} (mean demand <= {threshold_lo:.2f})')\n", "\n", "# Re-extract attention for each group\n", "res_hi = extractor.extract([ext_s[hi_idx], ext_d[hi_idx], ext_f[hi_idx]])\n", "res_lo = extractor.extract([ext_s[lo_idx], ext_d[lo_idx], ext_f[lo_idx]])\n", "\n", "# Use cross-attention for comparison\n", "attn_list_hi = list(res_hi['attention'].values())\n", "attn_list_lo = list(res_lo['attention'].values())\n", "cross_hi = attn_list_hi[cross_idx].mean(axis=(0, 1)) # (H, K_enc) mean over batch+heads\n", "cross_lo = attn_list_lo[cross_idx].mean(axis=(0, 1))\n", "\n", "diff_map = cross_hi - cross_lo # positive = hi attends MORE\n", "\n", "fig, axes = plt.subplots(1, 3, figsize=(18, 5))\n", "\n", "titles = ['High-demand attention', 'Low-demand attention', 'Difference (high − low)']\n", "maps = [cross_hi, cross_lo, diff_map]\n", "cmaps = ['plasma', 'plasma', 'RdBu_r']\n", "for ax, data, title, cmap in zip(axes, maps, titles, cmaps):\n", " vmax = max(abs(data.max()), abs(data.min()))\n", " vkwargs = dict(vmin=-vmax, vmax=vmax) if 'Diff' in title else {}\n", " im = ax.imshow(data, aspect='auto', cmap=cmap, **vkwargs)\n", " ax.set_title(title, fontsize=11)\n", " ax.set_xlabel(f'Encoder window (1–{K_ENC})')\n", " ax.set_ylabel('Forecast step (1–24)')\n", " ax.set_xticks(range(K_ENC))\n", " ax.set_xticklabels([str(k+1) for k in range(K_ENC)], fontsize=8)\n", " ax.set_yticks(range(0, HORIZON, 4))\n", " ax.set_yticklabels([str(s+1) for s in range(0, HORIZON, 4)], fontsize=8)\n", " plt.colorbar(im, ax=ax, shrink=0.8)\n", "\n", "plt.suptitle('Section 9 — Contrastive Attention: Peak vs Off-Peak Demand',\n", " fontsize=13)\n", "plt.tight_layout(); plt.show()\n" ] }, { "cell_type": "markdown", "id": "c5e5cbaa", "metadata": {}, "source": [ "### Interpreting Contrastive Attention\n", "\n", "**Difference map** (rightmost): *red* regions are encoder windows that the model\n", "pays *more* attention to for high-demand predictions; *blue* regions are attended\n", "to more for low-demand predictions.\n", "\n", "If high-demand samples concentrate attention on recent encoder windows (right side,\n", "red), it confirms the model has learned that peak demand follows business-hour\n", "occupancy signals that are *predictable from the immediate past*.\n", "\n", "If the difference is small or random, it suggests the model uses a similar\n", "\"attention recipe\" regardless of demand level — which could indicate that the\n", "learned representations already absorbed the relevant context into the encoder\n", "output, making the downstream attention patterns similar." ] }, { "cell_type": "markdown", "id": "666a3501", "metadata": {}, "source": [ "---\n", "\n", "## 10 — Integrated Gradients\n", "\n", "Standard gradient saliency measures the *gradient at the actual input*. For\n", "non-linear models this can be misleading if the model is in a saturation region.\n", "\n", "**Integrated gradients** (Sundararajan et al., 2017) instead averages gradients\n", "along a straight-line path from a **baseline** (zeros) to the actual input:\n", "\n", "```\n", "IG(x) = (x − x_baseline) × ∫₀¹ ∂f(x_baseline + α(x−x_baseline))/∂x dα\n", "```\n", "\n", "This satisfies the *completeness axiom*: the sum of attributions equals the\n", "model's output change from baseline to input." ] }, { "cell_type": "code", "execution_count": 17, "id": "790c3395", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:38.869763Z", "iopub.status.busy": "2026-04-21T04:13:38.869763Z", "iopub.status.idle": "2026-04-21T04:13:52.478753Z", "shell.execute_reply": "2026-04-21T04:13:52.477579Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrated gradients computed.\n", "\n", "Dynamic IG (sorted):\n", " wind_speed : 0.000011 [LOW]\n", " humidity : 0.000006 [MOD]\n", " price_signal : 0.000001 [LOW]\n", " temperature : 0.000000 [HIGH]\n", " cloud_cover : 0.000000 [LOW]\n", " occupancy : 0.000000 [HIGH]\n" ] } ], "source": [ "N_STEPS = 20 # integration steps (higher = more accurate but slower)\n", "\n", "xs_base = tf.zeros_like(ext_s)\n", "xd_base = tf.zeros_like(ext_d)\n", "xf_base = tf.zeros_like(ext_f)\n", "\n", "ig_dynamic = np.zeros_like(ext_d) # (EXT_BATCH, LOOKBACK, N_DYNAMIC)\n", "ig_future = np.zeros_like(ext_f) # (EXT_BATCH, HORIZON, N_FUTURE)\n", "ig_static = np.zeros_like(ext_s) # (EXT_BATCH, N_STATIC)\n", "\n", "for step in range(N_STEPS + 1):\n", " alpha = step / N_STEPS\n", " xd_interp = tf.Variable(xd_base + alpha * (ext_d - xd_base), dtype=tf.float32)\n", " xf_interp = tf.Variable(xf_base + alpha * (ext_f - xf_base), dtype=tf.float32)\n", " xs_interp = tf.Variable(xs_base + alpha * (ext_s - xs_base), dtype=tf.float32)\n", "\n", " with tf.GradientTape() as tape:\n", " pred = model([xs_interp, xd_interp, xf_interp], training=False)\n", " scalar = tf.reduce_mean(pred)\n", "\n", " gs_i, gd_i, gf_i = tape.gradient(scalar, [xs_interp, xd_interp, xf_interp])\n", " ig_dynamic += gd_i.numpy() / N_STEPS\n", " ig_future += gf_i.numpy() / N_STEPS\n", " ig_static += gs_i.numpy() / N_STEPS\n", "\n", "# Element-wise multiply by (input - baseline)\n", "ig_dynamic *= (ext_d - xd_base.numpy())\n", "ig_future *= (ext_f - xf_base.numpy())\n", "ig_static *= (ext_s - xs_base.numpy())\n", "\n", "# Mean absolute attribution over batch\n", "ig_d_feat = np.abs(ig_dynamic).mean(axis=(0, 1)) # (N_DYNAMIC,)\n", "ig_f_feat = np.abs(ig_future ).mean(axis=(0, 1)) # (N_FUTURE,)\n", "ig_s_feat = np.abs(ig_static ).mean(axis=0) # (N_STATIC,)\n", "\n", "print('Integrated gradients computed.')\n", "print()\n", "print('Dynamic IG (sorted):')\n", "for name, val in sorted(zip(DYNAMIC_NAMES, ig_d_feat), key=lambda x: -x[1]):\n", " print(f' {name:20s} : {val:.6f} [{IMPORTANCE[name]}]')\n" ] }, { "cell_type": "code", "execution_count": 18, "id": "b240f4a1", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:52.480866Z", "iopub.status.busy": "2026-04-21T04:13:52.480866Z", "iopub.status.idle": "2026-04-21T04:13:53.439135Z", "shell.execute_reply": "2026-04-21T04:13:53.437085Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(1, 3, figsize=(16, 5))\n", "\n", "# Compare gradient saliency vs integrated gradients for dynamic features\n", "ax = axes[0]\n", "x_pos = np.arange(N_DYNAMIC)\n", "width = 0.38\n", "bars1 = ax.barh(x_pos + width/2, sal_dynamic.mean(axis=0), width,\n", " color='steelblue', label='Gradient saliency', alpha=0.85)\n", "bars2 = ax.barh(x_pos - width/2, ig_d_feat, width,\n", " color='darkorange', label='Integrated gradients', alpha=0.85)\n", "ax.set_yticks(x_pos)\n", "ax.set_yticklabels(DYNAMIC_NAMES)\n", "ax.set_xlabel('Attribution magnitude')\n", "ax.set_title('Dynamic: Saliency vs Integrated Gradients', fontsize=11)\n", "ax.legend(fontsize=9); ax.grid(True, alpha=0.3, axis='x'); ax.invert_yaxis()\n", "\n", "# Static comparison\n", "ax = axes[1]\n", "x_pos_s = np.arange(N_STATIC)\n", "ax.barh(x_pos_s + width/2, sal_static, width,\n", " color='steelblue', label='Gradient saliency', alpha=0.85)\n", "ax.barh(x_pos_s - width/2, ig_s_feat, width,\n", " color='darkorange', label='Integrated gradients', alpha=0.85)\n", "ax.set_yticks(x_pos_s)\n", "ax.set_yticklabels(STATIC_NAMES)\n", "ax.set_xlabel('Attribution magnitude')\n", "ax.set_title('Static: Saliency vs Integrated Gradients', fontsize=11)\n", "ax.legend(fontsize=9); ax.grid(True, alpha=0.3, axis='x'); ax.invert_yaxis()\n", "\n", "# Integrated gradient heatmap for dynamic (averaged over batch)\n", "ax = axes[2]\n", "ig_d_heatmap = np.abs(ig_dynamic).mean(axis=0).T # (N_DYNAMIC, LOOKBACK)\n", "im = ax.imshow(ig_d_heatmap, aspect='auto', cmap='hot',\n", " extent=[1, LOOKBACK, -0.5, N_DYNAMIC - 0.5])\n", "ax.set_yticks(range(N_DYNAMIC))\n", "ax.set_yticklabels(DYNAMIC_NAMES, fontsize=9)\n", "ax.set_xlabel('Past hour'); ax.set_title('Integrated Gradients Heatmap\\n(dynamic features x time)', fontsize=11)\n", "plt.colorbar(im, ax=ax, label='|IG|', shrink=0.8)\n", "\n", "plt.suptitle('Section 10 — Integrated Gradients Attribution', fontsize=13)\n", "plt.tight_layout(); plt.show()\n" ] }, { "cell_type": "markdown", "id": "1478d6e7", "metadata": {}, "source": [ "### Interpreting Integrated Gradients\n", "\n", "**Agreement with gradient saliency** (left two panels): if the orange and blue\n", "bars are ordered identically (same feature ranking), both methods agree and the\n", "model is not in a saturation regime. If they *disagree*, integrated gradients\n", "is more reliable because it accounts for the model's full non-linearity along\n", "the path from zero to the input.\n", "\n", "**IG heatmap** (right): the temporal pattern should mirror the gradient saliency\n", "heatmap (Section 7B) but may differ in magnitude near input saturation zones.\n", "Recent time steps should remain brighter, confirming that *recent context* carries\n", "the most attribution mass.\n", "\n", "**Key difference from saliency**: integrated gradients attribute the full output\n", "*change* from baseline; gradient saliency only reflects *local* sensitivity. For\n", "features near zero (e.g. after normalisation) they often agree; for large-valued\n", "features they can diverge." ] }, { "cell_type": "markdown", "id": "e792d1a4", "metadata": {}, "source": [ "---\n", "\n", "## Summary\n", "\n", "| Section | Technique | Key question answered |\n", "|---------|-----------|----------------------|\n", "| 3 | VSN Feature Importance | Which features does the model route most signal through? |\n", "| 4 | Cross-Attention Heatmap | Which encoder windows does each decoder step query? |\n", "| 5 | Hierarchical Self-Attention | How do forecast steps relate to one another? |\n", "| 6 | Multi-Head Diversity | Are the 4 heads specialising or redundant? |\n", "| 7 | Gradient Saliency | Which inputs/timesteps drive the output locally? |\n", "| 8 | Horizon-Dependent Attention | Does focus shift as we forecast further ahead? |\n", "| 9 | Contrastive Analysis | Do high vs low demand samples use different context? |\n", "| 10 | Integrated Gradients | Full attribution accounting for non-linearity? |\n", "\n", "### Key Takeaways\n", "\n", "- **VSN and gradient attribution should agree**: if both identify `temperature`,\n", " `occupancy`, and `floor_area` as most important and the formula confirms this,\n", " the model has learned the right signals.\n", "- **Cross-attention recency gradient** (later encoder windows attract more weight\n", " for early forecast steps) is the expected and physically interpretable pattern.\n", "- **Entropy increases with horizon**: a healthy model is *more uncertain* about\n", " distant future states, which should manifest as higher cross-attention entropy\n", " at long horizons.\n", "- **Multi-head diversity**: low off-diagonal similarity in the head similarity\n", " matrix indicates the model is using its capacity efficiently.\n", "- **Integrated gradients vs gradient saliency**: agreement between both methods\n", " is a sign the model is not saturating — the input features operate in a\n", " well-conditioned region of the activation landscape." ] }, { "cell_type": "code", "execution_count": 19, "id": "058954aa", "metadata": { "execution": { "iopub.execute_input": "2026-04-21T04:13:53.443511Z", "iopub.status.busy": "2026-04-21T04:13:53.442406Z", "iopub.status.idle": "2026-04-21T04:13:53.701179Z", "shell.execute_reply": "2026-04-21T04:13:53.701179Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "GREEN bracket = HIGH importance | ORANGE = MOD | GREY = LOW\n", "Both methods should place the largest polygon vertex on temperature and occupancy.\n" ] } ], "source": [ "# Summary radar chart: compare attribution methods for dynamic features\n", "from matplotlib.patches import FancyArrowPatch\n", "\n", "angles = np.linspace(0, 2 * np.pi, N_DYNAMIC, endpoint=False).tolist()\n", "angles += angles[:1]\n", "\n", "sal_vals = (sal_dynamic.mean(axis=0) / sal_dynamic.mean(axis=0).max()).tolist()\n", "ig_vals = (ig_d_feat / ig_d_feat.max()).tolist()\n", "sal_vals += sal_vals[:1]\n", "ig_vals += ig_vals[:1]\n", "\n", "fig, ax = plt.subplots(figsize=(7, 7), subplot_kw=dict(polar=True))\n", "ax.plot(angles, sal_vals, 'o-', lw=2, color='steelblue', label='Gradient saliency')\n", "ax.fill(angles, sal_vals, alpha=0.15, color='steelblue')\n", "ax.plot(angles, ig_vals, 's-', lw=2, color='darkorange', label='Integrated gradients')\n", "ax.fill(angles, ig_vals, alpha=0.15, color='darkorange')\n", "\n", "ax.set_xticks(angles[:-1])\n", "ax.set_xticklabels(\n", " [f'{n}\\n[{IMPORTANCE[n]}]' for n in DYNAMIC_NAMES],\n", " fontsize=10\n", ")\n", "ax.set_title('Attribution Methods Comparison — Dynamic Features\\n'\n", " '(normalised to max, ground-truth importance in brackets)',\n", " fontsize=12, pad=25)\n", "ax.legend(loc='upper right', bbox_to_anchor=(1.35, 1.1), fontsize=10)\n", "ax.grid(True)\n", "\n", "plt.tight_layout(); plt.show()\n", "print()\n", "print('GREEN bracket = HIGH importance | ORANGE = MOD | GREY = LOW')\n", "print('Both methods should place the largest polygon vertex on temperature and occupancy.')\n" ] } ], "metadata": { "kernelspec": { "display_name": "base-attentiv", "language": "python", "name": "base-attentiv" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.20" } }, "nbformat": 4, "nbformat_minor": 5 }