From 7c358b9551e00a69f713715696add9fda3db006f Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Tue, 24 Feb 2026 16:41:12 +0100
Subject: [PATCH 01/56] chore: Rename ImageSegmentation to SemanticSegmentation

---
 .../src/modules/computer_vision/SemanticSegmentationModule.ts   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts
index a35df92d83..e031e87612 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts
@@ -62,7 +62,7 @@ type ResolveLabels<T extends SemanticSegmentationModelName | LabelEnum> =
 
 /**
  * Generic semantic segmentation module with type-safe label maps.
- * Use a model name (e.g. `'deeplab-v3-resnet50'`) as the generic parameter for built-in models,
+ * Use a model name (e.g. `'deeplab-v3'`) as the generic parameter for built-in models,
  * or a custom label enum for custom configs.
  *
  * @typeParam T - Either a built-in model name (`'deeplab-v3-resnet50'`,

From 2888282f79dcabd0dc59b018c9bd8fa1051d2f78 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Tue, 24 Feb 2026 22:40:26 +0100
Subject: [PATCH 02/56] Update docs

---
 .../useSemanticSegmentation.md                | 19 +++++++------------
 .../SemanticSegmentationModule.md             |  4 ++--
 2 files changed, 9 insertions(+), 14 deletions(-)

diff --git a/docs/docs/03-hooks/02-computer-vision/useSemanticSegmentation.md b/docs/docs/03-hooks/02-computer-vision/useSemanticSegmentation.md
index dc654369c7..5828c1092c 100644
--- a/docs/docs/03-hooks/02-computer-vision/useSemanticSegmentation.md
+++ b/docs/docs/03-hooks/02-computer-vision/useSemanticSegmentation.md
@@ -5,13 +5,13 @@ title: useSemanticSegmentation
 Semantic semantic segmentation, akin to image classification, tries to assign the content of the image to one of the predefined classes. However, in case of segmentation this classification is done on a per-pixel basis, so as the result the model provides an image-sized array of scores for each of the classes. You can then use this information to detect objects on a per-pixel basis. React Native ExecuTorch offers a dedicated hook `useSemanticSegmentation` for this task.
 
 :::warning
-It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/semantic-segmentation-68d5291bdf4a30bee0220f4f), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/image-segmentation-68d5291bdf4a30bee0220f4f), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
 
 - For detailed API Reference for `useSemanticSegmentation` see: [`useSemanticSegmentation` API Reference](../../06-api-reference/functions/useSemanticSegmentation.md).
-- For all semantic segmentation models available out-of-the-box in React Native ExecuTorch see: [Semantic Segmentation Models](../../06-api-reference/index.md#models---semantic-segmentation).
+- For all semantic segmentation models available out-of-the-box in React Native ExecuTorch see: [Semantic Segmentation Models](../../06-api-reference/index.md#models---image-segmentation).
 
 ## High Level Overview
 
@@ -49,7 +49,7 @@ The hook is generic over the model config — TypeScript automatically infers th
 You need more details? Check the following resources:
 
 - For detailed information about `useSemanticSegmentation` arguments check this section: [`useSemanticSegmentation` arguments](../../06-api-reference/functions/useSemanticSegmentation.md#parameters).
-- For all semantic segmentation models available out-of-the-box in React Native ExecuTorch see: [Semantic Segmentation Models](../../06-api-reference/index.md#models---semantic-segmentation).
+- For all semantic segmentation models available out-of-the-box in React Native ExecuTorch see: [Semantic Segmentation Models](../../06-api-reference/index.md#models---image-segmentation).
 - For more information on loading resources, take a look at [loading models](../../01-fundamentals/02-loading-models.md) page.
 
 ### Returns
@@ -121,12 +121,7 @@ See the full guide: [VisionCamera Integration](./visioncamera-integration.md).
 
 ## Supported models
 
-| Model                                                                                                       | Number of classes | Class list                                                                                | Quantized |
-| ----------------------------------------------------------------------------------------------------------- | ----------------- | ----------------------------------------------------------------------------------------- | :-------: |
-| [deeplab-v3-resnet50](https://huggingface.co/software-mansion/react-native-executorch-deeplab-v3)           | 21                | [DeeplabLabel](../../06-api-reference/enumerations/DeeplabLabel.md)                       |    Yes    |
-| [deeplab-v3-resnet101](https://huggingface.co/software-mansion/react-native-executorch-deeplab-v3)          | 21                | [DeeplabLabel](../../06-api-reference/enumerations/DeeplabLabel.md)                       |    Yes    |
-| [deeplab-v3-mobilenet-v3-large](https://huggingface.co/software-mansion/react-native-executorch-deeplab-v3) | 21                | [DeeplabLabel](../../06-api-reference/enumerations/DeeplabLabel.md)                       |    Yes    |
-| [lraspp-mobilenet-v3-large](https://huggingface.co/software-mansion/react-native-executorch-lraspp)         | 21                | [DeeplabLabel](../../06-api-reference/enumerations/DeeplabLabel.md)                       |    Yes    |
-| [fcn-resnet50](https://huggingface.co/software-mansion/react-native-executorch-fcn)                         | 21                | [DeeplabLabel](../../06-api-reference/enumerations/DeeplabLabel.md)                       |    Yes    |
-| [fcn-resnet101](https://huggingface.co/software-mansion/react-native-executorch-fcn)                        | 21                | [DeeplabLabel](../../06-api-reference/enumerations/DeeplabLabel.md)                       |    Yes    |
-| [selfie-segmentation](https://huggingface.co/software-mansion/react-native-executorch-selfie-segmentation)  | 2                 | [SelfieSegmentationLabel](../../06-api-reference/enumerations/SelfieSegmentationLabel.md) |    No     |
+| Model                                                                                            | Number of classes | Class list                                                                                |
+| ------------------------------------------------------------------------------------------------ | ----------------- | ----------------------------------------------------------------------------------------- |
+| [deeplabv3_resnet50](https://huggingface.co/software-mansion/react-native-executorch-deeplab-v3) | 21                | [DeeplabLabel](../../06-api-reference/enumerations/DeeplabLabel.md)                       |
+| selfie-segmentation                                                                              | 2                 | [SelfieSegmentationLabel](../../06-api-reference/enumerations/SelfieSegmentationLabel.md) |
diff --git a/docs/docs/04-typescript-api/02-computer-vision/SemanticSegmentationModule.md b/docs/docs/04-typescript-api/02-computer-vision/SemanticSegmentationModule.md
index 4bf2129ac1..186bafd16c 100644
--- a/docs/docs/04-typescript-api/02-computer-vision/SemanticSegmentationModule.md
+++ b/docs/docs/04-typescript-api/02-computer-vision/SemanticSegmentationModule.md
@@ -7,7 +7,7 @@ TypeScript API implementation of the [useSemanticSegmentation](../../03-hooks/02
 ## API Reference
 
 - For detailed API Reference for `SemanticSegmentationModule` see: [`SemanticSegmentationModule` API Reference](../../06-api-reference/classes/SemanticSegmentationModule.md).
-- For all semantic segmentation models available out-of-the-box in React Native ExecuTorch see: [Semantic Segmentation Models](../../06-api-reference/index.md#models---semantic-segmentation).
+- For all semantic segmentation models available out-of-the-box in React Native ExecuTorch see: [Semantic Segmentation Models](../../06-api-reference/index.md#models---image-segmentation).
 
 ## High Level Overview
 
@@ -47,7 +47,7 @@ const segmentation = await SemanticSegmentationModule.fromModelName(
 );
 ```
 
-The `config` parameter is a discriminated union — TypeScript ensures you provide the correct fields for each model name. Available built-in models: `'deeplab-v3-resnet50'`, `'deeplab-v3-resnet50-quantized'`, `'deeplab-v3-resnet101'`, `'deeplab-v3-resnet101-quantized'`, `'deeplab-v3-mobilenet-v3-large'`, `'deeplab-v3-mobilenet-v3-large-quantized'`, `'lraspp-mobilenet-v3-large'`, `'lraspp-mobilenet-v3-large-quantized'`, `'fcn-resnet50'`, `'fcn-resnet50-quantized'`, `'fcn-resnet101'`, `'fcn-resnet101-quantized'`, and `'selfie-segmentation'`.
+The `config` parameter is a discriminated union — TypeScript ensures you provide the correct fields for each model name. Available built-in models: `'deeplab-v3'`, `'selfie-segmentation'`.
 
 ### Custom models — `fromCustomModel`
 

From a7567a199bb6ec9dbf0c622f05457b6ab7e4389b Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Tue, 24 Feb 2026 22:48:16 +0100
Subject: [PATCH 03/56] Upadte claude skills

---
 .../react-native-executorch/references/reference-cv.md      | 6 +++---
 skills/react-native-executorch/references/reference-cv.md   | 6 +++---
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/skills/canary/react-native-executorch/references/reference-cv.md b/skills/canary/react-native-executorch/references/reference-cv.md
index 171b14a417..abe4ee7f08 100644
--- a/skills/canary/react-native-executorch/references/reference-cv.md
+++ b/skills/canary/react-native-executorch/references/reference-cv.md
@@ -1,6 +1,6 @@
 ---
 title: Computer Vision models usage
-description: Reference for using Image Classification, Semantic Segmentation, and Object Detection models.
+description: Reference for using Image Classification, Image Segmentation, and Object Detection models.
 ---
 
 # useClassification
@@ -139,8 +139,8 @@ For the latest available models check out exported models in [this HuggingFace S
 
 ## Additional references
 
-- [useSemanticSegmentation docs](https://docs.swmansion.com/react-native-executorch/docs/hooks/computer-vision/useSemanticSegmentation)
-- useSemanticSegmentation API reference](https://docs.swmansion.com/react-native-executorch/docs/api-reference/functions/useSemanticSegmentation)
+- [useSemanticSegmentation docs](https://docs.swmansion.com/react-native-executorch/docs/hooks/computer-vision/useImageSegmentation)
+- useSemanticSegmentation API reference](https://docs.swmansion.com/react-native-executorch/docs/api-reference/functions/useImageSegmentation)
 - [HuggingFace Segmentation collection](https://huggingface.co/collections/software-mansion/image-segmentation)
 - [Typescript API implementation of segmentation](https://docs.swmansion.com/react-native-executorch/docs/typescript-api/computer-vision/SemanticSegmentationModule)
 
diff --git a/skills/react-native-executorch/references/reference-cv.md b/skills/react-native-executorch/references/reference-cv.md
index 52fcf3093c..3bb24acd09 100644
--- a/skills/react-native-executorch/references/reference-cv.md
+++ b/skills/react-native-executorch/references/reference-cv.md
@@ -1,6 +1,6 @@
 ---
 title: Computer Vision models usage
-description: Reference for using Image Classification, Semantic Segmentation, and Object Detection models.
+description: Reference for using Image Classification, Image Segmentation, and Object Detection models.
 ---
 
 # useClassification
@@ -139,8 +139,8 @@ For the latest available models check out exported models in [this HuggingFace S
 
 ## Additional references
 
-- [useSemanticSegmentation docs](https://docs.swmansion.com/react-native-executorch/docs/hooks/computer-vision/useSemanticSegmentation)
-- [useSemanticSegmentation API reference](https://docs.swmansion.com/react-native-executorch/docs/api-reference/functions/useSemanticSegmentation)
+- [useSemanticSegmentation docs](https://docs.swmansion.com/react-native-executorch/docs/hooks/computer-vision/useImageSegmentation)
+- [useSemanticSegmentation API reference](https://docs.swmansion.com/react-native-executorch/docs/api-reference/functions/useImageSegmentation)
 - [HuggingFace Segmentation collection](https://huggingface.co/collections/software-mansion/image-segmentation)
 - [Typescript API implementation of segmentation](https://docs.swmansion.com/react-native-executorch/docs/typescript-api/computer-vision/SemanticSegmentationModule)
 

From 8b8dc32e992cb8a67fd4c2b472d9f8a6e82a9452 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Thu, 26 Feb 2026 14:54:18 +0100
Subject: [PATCH 04/56] Initial instance segmetntation

---
 apps/computer-vision/app/index.tsx            |     13 +
 .../app/instance_segmentation/index.tsx       |    858 +
 apps/computer-vision/package.json             |      1 +
 .../rnexecutorch/RnExecutorchInstaller.cpp    |     31 +
 .../host_objects/JsiConversions.h             |     42 +
 .../InstanceSegmentation.cpp                  |    326 +
 .../InstanceSegmentation.h                    |     48 +
 .../models/instance_segmentation/Types.h      |     20 +
 .../assets/models/smollm_tokenizer.json       |  98249 ++++++++++++
 .../assets/models/t2i_tokenizer.json          |  49540 +++++++
 .../integration/assets/models/test_image.jpg  |    Bin 0 -> 490372 bytes
 .../integration/assets/models/tokenizer.json  |  30675 ++++
 .../assets/models/whisper_tokenizer.json      | 114840 +++++++++++++++
 .../common/rnexecutorch/tests/log.txt         |      1 +
 .../useInstanceSegmentation.ts                |    121 +
 packages/react-native-executorch/src/index.ts |      6 +
 .../InstanceSegmentationModule.ts             |    282 +
 .../SemanticSegmentationModule.ts             |      7 +
 .../src/types/instanceSegmentation.ts         |    221 +
 19 files changed, 295281 insertions(+)
 create mode 100644 apps/computer-vision/app/instance_segmentation/index.tsx
 create mode 100644 packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/InstanceSegmentation.cpp
 create mode 100644 packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/InstanceSegmentation.h
 create mode 100644 packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
 create mode 100644 packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/smollm_tokenizer.json
 create mode 100644 packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/t2i_tokenizer.json
 create mode 100644 packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/test_image.jpg
 create mode 100644 packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/tokenizer.json
 create mode 100644 packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/whisper_tokenizer.json
 create mode 100644 packages/react-native-executorch/common/rnexecutorch/tests/log.txt
 create mode 100644 packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
 create mode 100644 packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
 create mode 100644 packages/react-native-executorch/src/types/instanceSegmentation.ts

diff --git a/apps/computer-vision/app/index.tsx b/apps/computer-vision/app/index.tsx
index 9fbfd4f3ac..98ba78c967 100644
--- a/apps/computer-vision/app/index.tsx
+++ b/apps/computer-vision/app/index.tsx
@@ -35,6 +35,19 @@ export default function Home() {
         >
           <Text style={styles.buttonText}>Object Detection</Text>
         </TouchableOpacity>
+        <TouchableOpacity
+          style={styles.button}
+          onPress={() => router.navigate('object_detection_live/')}
+        >
+          <Text style={styles.buttonText}>Object Detection Live</Text>
+        </TouchableOpacity>
+        <TouchableOpacity style={styles.button}></TouchableOpacity>
+        <TouchableOpacity
+          style={styles.button}
+          onPress={() => router.navigate('instance_segmentation/')}
+        >
+          <Text style={styles.buttonText}>Instance Segmentation</Text>
+        </TouchableOpacity>
         <TouchableOpacity
           style={styles.button}
           onPress={() => router.navigate('ocr/')}
diff --git a/apps/computer-vision/app/instance_segmentation/index.tsx b/apps/computer-vision/app/instance_segmentation/index.tsx
new file mode 100644
index 0000000000..01701d731e
--- /dev/null
+++ b/apps/computer-vision/app/instance_segmentation/index.tsx
@@ -0,0 +1,858 @@
+import Spinner from '../../components/Spinner';
+import { BottomBar } from '../../components/BottomBar';
+import { getImage } from '../../utils';
+import { useInstanceSegmentation } from 'react-native-executorch';
+import {
+  Canvas,
+  Image as SkiaImage,
+  Skia,
+  AlphaType,
+  ColorType,
+  SkImage,
+  Rect,
+  Paint,
+  Group,
+  Text as SkiaText,
+  matchFont,
+} from '@shopify/react-native-skia';
+import {
+  View,
+  StyleSheet,
+  Image,
+  ScrollView,
+  Text,
+  TouchableOpacity,
+  Alert,
+} from 'react-native';
+import { Picker } from '@react-native-picker/picker';
+import React, { useContext, useEffect, useState } from 'react';
+import { GeneratingContext } from '../../context';
+import ScreenWrapper from '../../ScreenWrapper';
+
+// Benchmark configurations
+const IMAGE_SIZES = [
+  {
+    size: 384,
+    method: 'forward_384',
+    description: 'Baseline - Extreme low-power / simple objects',
+  },
+  {
+    size: 416,
+    method: 'forward_416',
+    description: 'Legacy standard (YOLOv3/v4 era)',
+  },
+  {
+    size: 512,
+    method: 'forward_512',
+    description: 'Recommended - Best balance for edge',
+  },
+  { size: 640, method: 'forward_640', description: 'High accuracy standard' },
+  {
+    size: 1024,
+    method: 'forward_1024',
+    description: 'Maximum accuracy (optional)',
+  },
+];
+
+interface BenchmarkResult {
+  method: string;
+  description: string;
+  resolution: string;
+  timeMs: number;
+  instanceCount: number;
+  success: boolean;
+  error?: string;
+}
+
+// Color palette for different instances
+const instanceColors = [
+  [255, 87, 51, 180], // Red
+  [51, 255, 87, 180], // Green
+  [51, 87, 255, 180], // Blue
+  [255, 51, 246, 180], // Magenta
+  [51, 255, 246, 180], // Cyan
+  [243, 255, 51, 180], // Yellow
+  [141, 51, 255, 180], // Purple
+  [255, 131, 51, 180], // Orange
+  [51, 255, 131, 180], // Spring Green
+  [131, 51, 255, 180], // Violet
+];
+
+export default function InstanceSegmentationScreen() {
+  const { setGlobalGenerating } = useContext(GeneratingContext);
+
+  // TODO: Replace with actual model source when available
+  const { isReady, isGenerating, downloadProgress, forward, error } =
+    useInstanceSegmentation({
+      model: {
+        modelName: 'yolo26l-seg',
+        modelSource: 'http://192.168.83.59:3000/yolo26l-seg.pte',
+      },
+    });
+
+  const [imageUri, setImageUri] = useState('');
+  const [imageSize, setImageSize] = useState({ width: 0, height: 0 });
+  const [maskImages, setMaskImages] = useState<SkImage[]>([]);
+  const [instances, setInstances] = useState<any[]>([]);
+  const [canvasSize, setCanvasSize] = useState({ width: 0, height: 0 });
+  const [benchmarkResults, setBenchmarkResults] = useState<BenchmarkResult[]>(
+    []
+  );
+  const [isBenchmarking, setIsBenchmarking] = useState(false);
+  const [showBenchmark, setShowBenchmark] = useState(false);
+  const [selectedMethod, setSelectedMethod] = useState('forward_512');
+
+  useEffect(() => {
+    setGlobalGenerating(isGenerating);
+  }, [isGenerating, setGlobalGenerating]);
+
+  const handleCameraPress = async (isCamera: boolean) => {
+    const image = await getImage(isCamera);
+    if (!image?.uri) return;
+    setImageUri(image.uri);
+    setImageSize({
+      width: image.width ?? 0,
+      height: image.height ?? 0,
+    });
+    setMaskImages([]);
+    setInstances([]);
+  };
+
+  const runBenchmark = async () => {
+    if (!imageUri || imageSize.width === 0 || imageSize.height === 0) {
+      Alert.alert('No Image', 'Please select an image first');
+      return;
+    }
+
+    setIsBenchmarking(true);
+    setShowBenchmark(true);
+    const results: BenchmarkResult[] = [];
+
+    console.log('='.repeat(60));
+    console.log('🚀 STARTING INSTANCE SEGMENTATION BENCHMARK');
+    console.log('='.repeat(60));
+    console.log(`Image: ${imageUri}`);
+    console.log(`Image Size: ${imageSize.width}x${imageSize.height}`);
+    console.log('');
+    console.log('ℹ️  NOTE: Your model may only have forward_512 exported.');
+    console.log('   Other methods will fail if not present in the .pte file.');
+    console.log('');
+
+    for (const config of IMAGE_SIZES) {
+      const resolution = config.size
+        ? `${config.size}x${config.size}`
+        : `${config.width}x${config.height}`;
+
+      console.log('-'.repeat(60));
+      console.log(`Testing: ${config.method}`);
+      console.log(`Description: ${config.description}`);
+      console.log(`Resolution: ${resolution}`);
+      console.log('-'.repeat(60));
+
+      try {
+        const startTime = performance.now();
+
+        const output = await forward(imageUri, {
+          confidenceThreshold: 0.5,
+          iouThreshold: 0.45,
+          maxInstances: 20,
+          returnMaskAtOriginalResolution: true,
+          methodName: config.method,
+        });
+
+        const endTime = performance.now();
+        const timeMs = endTime - startTime;
+
+        console.log(`✅ SUCCESS`);
+        console.log(`⏱️  Time: ${timeMs.toFixed(2)} ms`);
+        console.log(`📊 Instances detected: ${output.length}`);
+        console.log('');
+
+        results.push({
+          method: config.method,
+          description: config.description,
+          resolution,
+          timeMs,
+          instanceCount: output.length,
+          success: true,
+        });
+
+        // Update UI with the last result
+        if (config.method === IMAGE_SIZES[IMAGE_SIZES.length - 1].method) {
+          setInstances(output);
+          // Create Skia images for visualization
+          const images: SkImage[] = [];
+          for (let i = 0; i < output.length; i++) {
+            const instance = output[i];
+            const color = instanceColors[i % instanceColors.length];
+
+            const pixels = new Uint8Array(
+              instance.maskWidth * instance.maskHeight * 4
+            );
+
+            for (let j = 0; j < instance.mask.length; j++) {
+              if (instance.mask[j] > 0) {
+                pixels[j * 4] = color[0];
+                pixels[j * 4 + 1] = color[1];
+                pixels[j * 4 + 2] = color[2];
+                pixels[j * 4 + 3] = color[3];
+              } else {
+                pixels[j * 4 + 3] = 0;
+              }
+            }
+
+            const data = Skia.Data.fromBytes(pixels);
+            const img = Skia.Image.MakeImage(
+              {
+                width: instance.maskWidth,
+                height: instance.maskHeight,
+                alphaType: AlphaType.Premul,
+                colorType: ColorType.RGBA_8888,
+              },
+              data,
+              instance.maskWidth * 4
+            );
+
+            if (img) {
+              images.push(img);
+            }
+          }
+          setMaskImages(images);
+        }
+      } catch (e: any) {
+        console.log(`❌ FAILED`);
+        console.log(`Error: ${e.message || e}`);
+        console.log('');
+
+        results.push({
+          method: config.method,
+          description: config.description,
+          resolution,
+          timeMs: 0,
+          instanceCount: 0,
+          success: false,
+          error: e.message || 'Unknown error',
+        });
+      }
+    }
+
+    console.log('='.repeat(60));
+    console.log('📈 BENCHMARK SUMMARY');
+    console.log('='.repeat(60));
+
+    const successfulRuns = results.filter((r) => r.success);
+    if (successfulRuns.length > 0) {
+      const fastest = successfulRuns.reduce((prev, curr) =>
+        curr.timeMs < prev.timeMs ? curr : prev
+      );
+      const slowest = successfulRuns.reduce((prev, curr) =>
+        curr.timeMs > prev.timeMs ? curr : prev
+      );
+      const avgTime =
+        successfulRuns.reduce((sum, r) => sum + r.timeMs, 0) /
+        successfulRuns.length;
+
+      console.log(
+        `⚡ Fastest: ${fastest.method} - ${fastest.timeMs.toFixed(2)} ms`
+      );
+      console.log(
+        `🐌 Slowest: ${slowest.method} - ${slowest.timeMs.toFixed(2)} ms`
+      );
+      console.log(`📊 Average: ${avgTime.toFixed(2)} ms`);
+      console.log(
+        `✅ Success rate: ${successfulRuns.length}/${results.length}`
+      );
+    }
+    console.log('='.repeat(60));
+    console.log('');
+
+    setBenchmarkResults(results);
+    setIsBenchmarking(false);
+  };
+
+  const runForward = async () => {
+    if (!imageUri || imageSize.width === 0 || imageSize.height === 0) {
+      return;
+    }
+
+    try {
+      console.log(`Running ${selectedMethod} with image:`, imageUri);
+      const startTime = performance.now();
+      const output = await forward(imageUri, {
+        confidenceThreshold: 0.7,
+        iouThreshold: 0.15,
+        maxInstances: 20,
+        returnMaskAtOriginalResolution: true,
+        methodName: selectedMethod,
+      });
+      const endTime = performance.now();
+      console.log(
+        `✅ ${selectedMethod} succeeded in ${(endTime - startTime).toFixed(2)}ms - detected ${output.length} instances`
+      );
+
+      // Debug: log first instance structure
+      if (output.length > 0) {
+        console.log(
+          'First instance:',
+          JSON.stringify({
+            label: output[0].label,
+            score: output[0].score,
+            bbox: output[0].bbox,
+            maskWidth: output[0].maskWidth,
+            maskHeight: output[0].maskHeight,
+          })
+        );
+      }
+
+      setInstances(output);
+
+      // Create Skia images for each mask
+      const images: SkImage[] = [];
+      for (let i = 0; i < output.length; i++) {
+        const instance = output[i];
+        const color = instanceColors[i % instanceColors.length];
+
+        // Create colored mask
+        const pixels = new Uint8Array(
+          instance.maskWidth * instance.maskHeight * 4
+        );
+
+        for (let j = 0; j < instance.mask.length; j++) {
+          if (instance.mask[j] > 0) {
+            pixels[j * 4] = color[0];
+            pixels[j * 4 + 1] = color[1];
+            pixels[j * 4 + 2] = color[2];
+            pixels[j * 4 + 3] = color[3]; // Alpha for transparency
+          } else {
+            pixels[j * 4 + 3] = 0; // Fully transparent
+          }
+        }
+
+        const data = Skia.Data.fromBytes(pixels);
+        const img = Skia.Image.MakeImage(
+          {
+            width: instance.maskWidth,
+            height: instance.maskHeight,
+            alphaType: AlphaType.Premul,
+            colorType: ColorType.RGBA_8888,
+          },
+          data,
+          instance.maskWidth * 4
+        );
+
+        if (img) {
+          images.push(img);
+        }
+      }
+
+      setMaskImages(images);
+    } catch (e) {
+      console.error('Instance segmentation error:', e);
+    }
+  };
+
+  // Show error if loading failed
+  if (!isReady && error) {
+    return (
+      <ScreenWrapper>
+        <View style={styles.errorContainer}>
+          <Text style={styles.errorTitle}>Error Loading Model</Text>
+          <Text style={styles.errorText}>
+            {error?.message || 'Unknown error occurred'}
+          </Text>
+          <Text style={styles.errorCode}>Code: {error?.code || 'N/A'}</Text>
+        </View>
+      </ScreenWrapper>
+    );
+  }
+
+  if (!isReady) {
+    return (
+      <Spinner
+        visible={!isReady}
+        textContent={`Loading the model ${(downloadProgress * 100).toFixed(0)} %`}
+      />
+    );
+  }
+
+  // Calculate scale factor for bounding boxes
+  const scaleX = canvasSize.width / (imageSize.width || 1);
+  const scaleY = canvasSize.height / (imageSize.height || 1);
+  const scale = Math.min(scaleX, scaleY);
+
+  return (
+    <ScreenWrapper>
+      <View style={styles.container}>
+        <View style={styles.imageCanvasContainer}>
+          {/* Base image */}
+          <View style={styles.imageContainer}>
+            <Image
+              style={styles.image}
+              resizeMode="contain"
+              source={
+                imageUri
+                  ? { uri: imageUri }
+                  : require('../../assets/icons/executorch_logo.png')
+              }
+            />
+          </View>
+
+          {/* Overlay masks and bounding boxes */}
+          {maskImages.length > 0 && (
+            <View
+              style={styles.canvasContainer}
+              onLayout={(e) =>
+                setCanvasSize({
+                  width: e.nativeEvent.layout.width,
+                  height: e.nativeEvent.layout.height,
+                })
+              }
+            >
+              <Canvas style={styles.canvas}>
+                {/* Render masks */}
+                {maskImages.map((maskImg, idx) => (
+                  <SkiaImage
+                    key={`mask-${idx}`}
+                    image={maskImg}
+                    fit="contain"
+                    x={0}
+                    y={0}
+                    width={canvasSize.width}
+                    height={canvasSize.height}
+                  />
+                ))}
+
+                {/* Render bounding boxes and labels */}
+                {instances.map((instance, idx) => {
+                  const color = instanceColors[idx % instanceColors.length];
+                  const offsetX =
+                    (canvasSize.width - imageSize.width * scale) / 2;
+                  const offsetY =
+                    (canvasSize.height - imageSize.height * scale) / 2;
+
+                  const bboxX = instance.bbox.x1 * scale + offsetX;
+                  const bboxY = instance.bbox.y1 * scale + offsetY;
+                  const bboxWidth =
+                    (instance.bbox.x2 - instance.bbox.x1) * scale;
+                  const bboxHeight =
+                    (instance.bbox.y2 - instance.bbox.y1) * scale;
+
+                  const labelText = `${instance.label} ${(instance.score * 100).toFixed(0)}%`;
+                  const font = matchFont({
+                    fontFamily: 'System',
+                    fontSize: 14,
+                    fontWeight: 'bold',
+                  });
+
+                  // Calculate text width with fallback
+                  let textWidth = 100; // Default width
+                  if (font) {
+                    try {
+                      textWidth = font.getTextWidth(labelText);
+                    } catch (e) {
+                      console.warn('Failed to calculate text width:', e);
+                    }
+                  }
+
+                  return (
+                    <Group key={`bbox-${idx}`}>
+                      {/* Bounding box */}
+                      <Rect
+                        x={bboxX}
+                        y={bboxY}
+                        width={bboxWidth}
+                        height={bboxHeight}
+                        style="stroke"
+                        strokeWidth={3}
+                        color={`rgb(${color[0]}, ${color[1]}, ${color[2]})`}
+                      />
+                      {/* Label background */}
+                      {font && (
+                        <Rect
+                          x={bboxX}
+                          y={bboxY - 26}
+                          width={textWidth + 16}
+                          height={26}
+                          color={`rgba(${color[0]}, ${color[1]}, ${color[2]}, 0.9)`}
+                        />
+                      )}
+                      {/* Label text */}
+                      {font && (
+                        <SkiaText
+                          x={bboxX + 8}
+                          y={bboxY - 8}
+                          text={labelText}
+                          font={font}
+                          color="white"
+                        />
+                      )}
+                    </Group>
+                  );
+                })}
+              </Canvas>
+            </View>
+          )}
+        </View>
+
+        {/* Method selector */}
+        {imageUri && (
+          <View style={styles.methodSelectorContainer}>
+            <Text style={styles.methodSelectorLabel}>Input Size:</Text>
+            <ScrollView
+              horizontal
+              showsHorizontalScrollIndicator={false}
+              style={styles.methodButtonsContainer}
+            >
+              {[
+                { label: '384', value: 'forward_384' },
+                { label: '416', value: 'forward_416' },
+                { label: '512', value: 'forward_512' },
+                { label: '640', value: 'forward_640' },
+                { label: '1024', value: 'forward_1024' },
+              ].map((method) => (
+                <TouchableOpacity
+                  key={method.value}
+                  style={[
+                    styles.methodButton,
+                    selectedMethod === method.value &&
+                      styles.methodButtonActive,
+                  ]}
+                  onPress={() => {
+                    console.log(`Selected method: ${method.value}`);
+                    setSelectedMethod(method.value);
+                  }}
+                >
+                  <Text
+                    style={[
+                      styles.methodButtonText,
+                      selectedMethod === method.value &&
+                        styles.methodButtonTextActive,
+                    ]}
+                  >
+                    {method.label}
+                  </Text>
+                </TouchableOpacity>
+              ))}
+            </ScrollView>
+          </View>
+        )}
+
+        {/* Benchmark button */}
+        {imageUri && (
+          <View style={styles.benchmarkButtonContainer}>
+            <TouchableOpacity
+              style={[
+                styles.benchmarkButton,
+                isBenchmarking && styles.benchmarkButtonDisabled,
+              ]}
+              onPress={runBenchmark}
+              disabled={isBenchmarking}
+            >
+              <Text style={styles.benchmarkButtonText}>
+                {isBenchmarking
+                  ? '⏳ Running Benchmark...'
+                  : '🚀 Run Benchmark (All Methods)'}
+              </Text>
+            </TouchableOpacity>
+          </View>
+        )}
+
+        {/* Benchmark Results */}
+        {showBenchmark && benchmarkResults.length > 0 && (
+          <View style={styles.benchmarkContainer}>
+            <Text style={styles.benchmarkHeader}>
+              🏁 Benchmark Results (
+              {benchmarkResults.filter((r) => r.success).length}/
+              {benchmarkResults.length} successful)
+            </Text>
+            <ScrollView style={styles.benchmarkList}>
+              {benchmarkResults.map((result, idx) => (
+                <View
+                  key={idx}
+                  style={[
+                    styles.benchmarkRow,
+                    !result.success && styles.benchmarkRowError,
+                  ]}
+                >
+                  <View style={styles.benchmarkRowHeader}>
+                    <Text style={styles.benchmarkMethod}>
+                      {result.success ? '✅' : '❌'} {result.method}
+                    </Text>
+                    <Text style={styles.benchmarkResolution}>
+                      {result.resolution}
+                    </Text>
+                  </View>
+                  <Text style={styles.benchmarkDescription}>
+                    {result.description}
+                  </Text>
+                  {result.success ? (
+                    <View style={styles.benchmarkStats}>
+                      <Text style={styles.benchmarkTime}>
+                        ⏱️ {result.timeMs.toFixed(2)} ms
+                      </Text>
+                      <Text style={styles.benchmarkInstances}>
+                        📊 {result.instanceCount} instances
+                      </Text>
+                    </View>
+                  ) : (
+                    <Text style={styles.benchmarkError}>{result.error}</Text>
+                  )}
+                </View>
+              ))}
+            </ScrollView>
+          </View>
+        )}
+
+        {/* Results list */}
+        {instances.length > 0 && !showBenchmark && (
+          <View style={styles.resultsContainer}>
+            <Text style={styles.resultsHeader}>
+              Detected {instances.length} instance(s)
+            </Text>
+            <ScrollView style={styles.resultsList}>
+              {instances.map((instance, idx) => {
+                const color = instanceColors[idx % instanceColors.length];
+                return (
+                  <View key={idx} style={styles.resultRow}>
+                    <View
+                      style={[
+                        styles.colorBox,
+                        {
+                          backgroundColor: `rgb(${color[0]}, ${color[1]}, ${color[2]})`,
+                        },
+                      ]}
+                    />
+                    <Text style={styles.resultText}>
+                      {instance.label} ({(instance.score * 100).toFixed(1)}%)
+                    </Text>
+                  </View>
+                );
+              })}
+            </ScrollView>
+          </View>
+        )}
+      </View>
+
+      <BottomBar
+        handleCameraPress={handleCameraPress}
+        runForward={runForward}
+      />
+    </ScreenWrapper>
+  );
+}
+
+const styles = StyleSheet.create({
+  container: {
+    flex: 6,
+    width: '100%',
+  },
+  imageCanvasContainer: {
+    flex: 1,
+    width: '100%',
+    padding: 16,
+  },
+  imageContainer: {
+    position: 'absolute',
+    top: 16,
+    left: 16,
+    right: 16,
+    bottom: 16,
+  },
+  image: {
+    width: '100%',
+    height: '100%',
+    borderRadius: 8,
+  },
+  canvasContainer: {
+    flex: 1,
+    justifyContent: 'center',
+    alignItems: 'center',
+  },
+  canvas: {
+    width: '100%',
+    height: '100%',
+  },
+  resultsContainer: {
+    maxHeight: 200,
+    padding: 16,
+    backgroundColor: '#f5f5f5',
+    borderTopWidth: 1,
+    borderTopColor: '#ddd',
+  },
+  resultsHeader: {
+    fontSize: 16,
+    fontWeight: 'bold',
+    marginBottom: 8,
+    color: '#333',
+  },
+  resultsList: {
+    flex: 1,
+  },
+  resultRow: {
+    flexDirection: 'row',
+    alignItems: 'center',
+    paddingVertical: 6,
+  },
+  colorBox: {
+    width: 20,
+    height: 20,
+    borderRadius: 4,
+    marginRight: 8,
+    borderWidth: 1,
+    borderColor: '#333',
+  },
+  resultText: {
+    fontSize: 14,
+    color: '#333',
+  },
+  errorContainer: {
+    flex: 1,
+    justifyContent: 'center',
+    alignItems: 'center',
+    padding: 20,
+  },
+  errorTitle: {
+    fontSize: 20,
+    fontWeight: 'bold',
+    color: '#d32f2f',
+    marginBottom: 12,
+  },
+  errorText: {
+    fontSize: 14,
+    color: '#333',
+    textAlign: 'center',
+    marginBottom: 8,
+  },
+  errorCode: {
+    fontSize: 12,
+    color: '#666',
+    fontFamily: 'monospace',
+  },
+  benchmarkButtonContainer: {
+    padding: 16,
+    backgroundColor: '#fff',
+    borderTopWidth: 1,
+    borderTopColor: '#ddd',
+  },
+  benchmarkButton: {
+    backgroundColor: '#2196F3',
+    paddingVertical: 12,
+    paddingHorizontal: 20,
+    borderRadius: 8,
+    alignItems: 'center',
+  },
+  benchmarkButtonDisabled: {
+    backgroundColor: '#90CAF9',
+  },
+  benchmarkButtonText: {
+    color: '#fff',
+    fontSize: 16,
+    fontWeight: 'bold',
+  },
+  benchmarkContainer: {
+    maxHeight: 300,
+    padding: 16,
+    backgroundColor: '#f9f9f9',
+    borderTopWidth: 2,
+    borderTopColor: '#2196F3',
+  },
+  benchmarkHeader: {
+    fontSize: 18,
+    fontWeight: 'bold',
+    marginBottom: 12,
+    color: '#2196F3',
+  },
+  benchmarkList: {
+    flex: 1,
+  },
+  benchmarkRow: {
+    backgroundColor: '#fff',
+    padding: 12,
+    borderRadius: 8,
+    marginBottom: 8,
+    borderWidth: 1,
+    borderColor: '#4CAF50',
+  },
+  benchmarkRowError: {
+    borderColor: '#f44336',
+    backgroundColor: '#ffebee',
+  },
+  benchmarkRowHeader: {
+    flexDirection: 'row',
+    justifyContent: 'space-between',
+    alignItems: 'center',
+    marginBottom: 4,
+  },
+  benchmarkMethod: {
+    fontSize: 16,
+    fontWeight: 'bold',
+    color: '#333',
+  },
+  benchmarkResolution: {
+    fontSize: 12,
+    color: '#666',
+    fontFamily: 'monospace',
+  },
+  benchmarkDescription: {
+    fontSize: 12,
+    color: '#666',
+    marginBottom: 6,
+    fontStyle: 'italic',
+  },
+  benchmarkStats: {
+    flexDirection: 'row',
+    justifyContent: 'space-between',
+  },
+  benchmarkTime: {
+    fontSize: 14,
+    fontWeight: 'bold',
+    color: '#4CAF50',
+    fontFamily: 'monospace',
+  },
+  benchmarkInstances: {
+    fontSize: 14,
+    color: '#2196F3',
+  },
+  benchmarkError: {
+    fontSize: 12,
+    color: '#f44336',
+    fontFamily: 'monospace',
+  },
+  methodSelectorContainer: {
+    padding: 16,
+    paddingBottom: 8,
+    backgroundColor: '#fff',
+    borderTopWidth: 1,
+    borderTopColor: '#ddd',
+  },
+  methodSelectorLabel: {
+    fontSize: 16,
+    fontWeight: '600',
+    color: '#333',
+    marginBottom: 8,
+  },
+  methodButtonsContainer: {
+    flexDirection: 'row',
+  },
+  methodButton: {
+    paddingHorizontal: 20,
+    paddingVertical: 10,
+    marginRight: 8,
+    borderRadius: 8,
+    borderWidth: 2,
+    borderColor: '#2196F3',
+    backgroundColor: '#fff',
+  },
+  methodButtonActive: {
+    backgroundColor: '#2196F3',
+    borderColor: '#2196F3',
+  },
+  methodButtonText: {
+    fontSize: 14,
+    fontWeight: 'bold',
+    color: '#2196F3',
+  },
+  methodButtonTextActive: {
+    color: '#fff',
+  },
+});
diff --git a/apps/computer-vision/package.json b/apps/computer-vision/package.json
index 578acf19b3..86d66a114a 100644
--- a/apps/computer-vision/package.json
+++ b/apps/computer-vision/package.json
@@ -12,6 +12,7 @@
   },
   "dependencies": {
     "@react-native-executorch/expo-resource-fetcher": "workspace:*",
+    "@react-native-picker/picker": "^2.11.4",
     "@react-native/metro-config": "^0.81.5",
     "@react-navigation/drawer": "^7.8.1",
     "@react-navigation/native": "^7.1.28",
diff --git a/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.cpp b/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.cpp
index 9d4b419e28..c7fcd4b397 100644
--- a/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.cpp
@@ -1,10 +1,12 @@
 #include "RnExecutorchInstaller.h"
 
+#include <iostream>
 #include <rnexecutorch/TokenizerModule.h>
 #include <rnexecutorch/host_objects/JsiConversions.h>
 #include <rnexecutorch/models/classification/Classification.h>
 #include <rnexecutorch/models/embeddings/image/ImageEmbeddings.h>
 #include <rnexecutorch/models/embeddings/text/TextEmbeddings.h>
+#include <rnexecutorch/models/instance_segmentation/InstanceSegmentation.h>
 #include <rnexecutorch/models/llm/LLM.h>
 #include <rnexecutorch/models/object_detection/ObjectDetection.h>
 #include <rnexecutorch/models/ocr/OCR.h>
@@ -47,6 +49,22 @@ void RnExecutorchInstaller::injectJSIBindings(
           models::semantic_segmentation::BaseSemanticSegmentation>(
           jsiRuntime, jsCallInvoker, "loadSemanticSegmentation"));
 
+  std::cout << "[RnExecutorch] Registering loadInstanceSegmentation..."
+            << std::endl;
+  try {
+    jsiRuntime->global().setProperty(
+        *jsiRuntime, "loadInstanceSegmentation",
+        RnExecutorchInstaller::loadModel<
+            models::instance_segmentation::InstanceSegmentation>(
+            jsiRuntime, jsCallInvoker, "loadInstanceSegmentation"));
+    std::cout
+        << "[RnExecutorch] loadInstanceSegmentation registered successfully!"
+        << std::endl;
+  } catch (const std::exception &e) {
+    std::cerr << "[RnExecutorch] ERROR registering loadInstanceSegmentation: "
+              << e.what() << std::endl;
+  }
+
   jsiRuntime->global().setProperty(
       *jsiRuntime, "loadTextToImage",
       RnExecutorchInstaller::loadModel<models::text_to_image::TextToImage>(
@@ -116,6 +134,19 @@ void RnExecutorchInstaller::injectJSIBindings(
 
   threads::utils::unsafeSetupThreadPool();
   threads::GlobalThreadPool::initialize();
+
+  // Verify loadInstanceSegmentation is available
+  std::cout
+      << "[RnExecutorch] Verifying loadInstanceSegmentation is accessible..."
+      << std::endl;
+  if (jsiRuntime->global().hasProperty(*jsiRuntime,
+                                       "loadInstanceSegmentation")) {
+    std::cout << "[RnExecutorch] ✅ loadInstanceSegmentation IS available!"
+              << std::endl;
+  } else {
+    std::cerr << "[RnExecutorch] ❌ loadInstanceSegmentation IS NOT available!"
+              << std::endl;
+  }
 }
 
 } // namespace rnexecutorch
diff --git a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
index a4e373c2b8..bfae757a83 100644
--- a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
+++ b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
@@ -16,6 +16,8 @@
 #include <rnexecutorch/jsi/OwningArrayBuffer.h>
 
 #include <rnexecutorch/metaprogramming/TypeConcepts.h>
+#include <rnexecutorch/models/instance_segmentation/Types.h>
+#include <rnexecutorch/models/object_detection/Constants.h>
 #include <rnexecutorch/models/object_detection/Types.h>
 #include <rnexecutorch/models/ocr/Types.h>
 #include <rnexecutorch/models/semantic_segmentation/Types.h>
@@ -452,6 +454,46 @@ inline jsi::Value getJsiValue(
   return array;
 }
 
+inline jsi::Value getJsiValue(
+    const std::vector<models::instance_segmentation::types::InstanceMask>
+        &instances,
+    jsi::Runtime &runtime) {
+  jsi::Array array(runtime, instances.size());
+  for (std::size_t i = 0; i < instances.size(); ++i) {
+    jsi::Object instance(runtime);
+
+    // Bbox
+    jsi::Object bbox(runtime);
+    bbox.setProperty(runtime, "x1", instances[i].x1);
+    bbox.setProperty(runtime, "y1", instances[i].y1);
+    bbox.setProperty(runtime, "x2", instances[i].x2);
+    bbox.setProperty(runtime, "y2", instances[i].y2);
+    instance.setProperty(runtime, "bbox", bbox);
+
+    // Mask as Uint8Array
+    auto maskBuffer = std::make_shared<OwningArrayBuffer>(
+        instances[i].mask.data(), instances[i].mask.size());
+    jsi::ArrayBuffer arrayBuffer(runtime, maskBuffer);
+    auto uint8ArrayCtor =
+        runtime.global().getPropertyAsFunction(runtime, "Uint8Array");
+    auto uint8Array = uint8ArrayCtor.callAsConstructor(runtime, arrayBuffer)
+                          .getObject(runtime);
+    instance.setProperty(runtime, "mask", uint8Array);
+
+    instance.setProperty(runtime, "maskWidth", instances[i].maskWidth);
+    instance.setProperty(runtime, "maskHeight", instances[i].maskHeight);
+
+    // Label - return as number, let TypeScript convert to string using labelMap
+    instance.setProperty(runtime, "label", instances[i].label);
+
+    instance.setProperty(runtime, "score", instances[i].score);
+    instance.setProperty(runtime, "instanceId", instances[i].instanceId);
+
+    array.setValueAtIndex(runtime, i, instance);
+  }
+  return array;
+}
+
 inline jsi::Value
 getJsiValue(const std::vector<models::ocr::types::OCRDetection> &detections,
             jsi::Runtime &runtime) {
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/InstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/InstanceSegmentation.cpp
new file mode 100644
index 0000000000..2ad5e31941
--- /dev/null
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/InstanceSegmentation.cpp
@@ -0,0 +1,326 @@
+#include "InstanceSegmentation.h"
+
+#include <cmath>
+#include <iostream>
+#include <rnexecutorch/Error.h>
+#include <rnexecutorch/ErrorCodes.h>
+#include <rnexecutorch/data_processing/ImageProcessing.h>
+namespace rnexecutorch::models::instance_segmentation {
+
+InstanceSegmentation::InstanceSegmentation(
+    const std::string &modelSource,
+    std::shared_ptr<react::CallInvoker> callInvoker)
+    : BaseModel(modelSource, callInvoker) {
+  // For multi-method models (like YOLO with forward_512, forward_640, etc.),
+  // we can't use getAllInputShapes() as it requires a default "forward" method.
+  // Instead, we'll set a default size. The YOLO models typically use 512x512
+  // input. If you need a different size, modify this or the model export to
+  // include a default forward method.
+  modelImageSize = cv::Size(512, 512);
+}
+
+float InstanceSegmentation::intersectionOverUnion(
+    const types::InstanceMask &a, const types::InstanceMask &b) {
+  float x1 = std::max(a.x1, b.x1);
+  float y1 = std::max(a.y1, b.y1);
+  float x2 = std::min(a.x2, b.x2);
+  float y2 = std::min(a.y2, b.y2);
+
+  float intersectionArea = std::max(0.0f, x2 - x1) * std::max(0.0f, y2 - y1);
+  float areaA = (a.x2 - a.x1) * (a.y2 - a.y1);
+  float areaB = (b.x2 - b.x1) * (b.y2 - b.y1);
+  float unionArea = areaA + areaB - intersectionArea;
+
+  return (unionArea > 0) ? (intersectionArea / unionArea) : 0.0f;
+}
+
+std::vector<types::InstanceMask> InstanceSegmentation::nonMaxSuppression(
+    std::vector<types::InstanceMask> instances, double iouThreshold) {
+  if (instances.empty()) {
+    return {};
+  }
+
+  // Sort by score (descending)
+  std::sort(instances.begin(), instances.end(),
+            [](const types::InstanceMask &a, const types::InstanceMask &b) {
+              return a.score > b.score;
+            });
+
+  std::vector<types::InstanceMask> result;
+  std::vector<bool> suppressed(instances.size(), false);
+
+  for (size_t i = 0; i < instances.size(); ++i) {
+    if (suppressed[i]) {
+      continue;
+    }
+
+    result.push_back(instances[i]);
+
+    for (size_t j = i + 1; j < instances.size(); ++j) {
+      if (suppressed[j]) {
+        continue;
+      }
+
+      // Only suppress if same class
+      if (instances[i].label == instances[j].label) {
+        float iou = intersectionOverUnion(instances[i], instances[j]);
+        if (iou > iouThreshold) {
+          suppressed[j] = true;
+        }
+      }
+    }
+  }
+
+  return result;
+}
+
+std::vector<types::InstanceMask> InstanceSegmentation::postprocess(
+    const std::vector<EValue> &tensors, cv::Size originalSize,
+    cv::Size modelInputSize, double confidenceThreshold, double iouThreshold,
+    int maxInstances, const std::vector<int32_t> &classIndices,
+    bool returnMaskAtOriginalResolution) {
+
+  if (confidenceThreshold <= 0 || confidenceThreshold > 1) {
+    throw RnExecutorchError(RnExecutorchErrorCode::InvalidConfig,
+                            "Confidence threshold must be greater than 0 "
+                            "and less than or equal to 1.");
+  }
+
+  if (iouThreshold <= 0 || iouThreshold > 1) {
+    throw RnExecutorchError(RnExecutorchErrorCode::InvalidConfig,
+                            "IoU threshold must be greater than 0 "
+                            "and less than or equal to 1.");
+  }
+
+  float widthRatio =
+      static_cast<float>(originalSize.width) / modelInputSize.width;
+  float heightRatio =
+      static_cast<float>(originalSize.height) / modelInputSize.height;
+
+  std::vector<types::InstanceMask> instances;
+
+  // ACTUAL tensor format from YOLO instance segmentation:
+  // tensors[0]: [1, 300, 38] - postprocessed detections
+  //             Format per detection: [x1, y1, x2, y2, score, class,
+  //             mask_coef_0...31]
+  // tensors[1]: [1, 32, 128, 128] - prototype masks
+
+  if (tensors.size() < 2) {
+    throw RnExecutorchError(
+        RnExecutorchErrorCode::UnexpectedNumInputs,
+        "Expected at least 2 output tensors (detections, prototype masks).");
+  }
+
+  // Parse Tensor 0: postprocessed detections [1, 300, 38]
+  auto detectionTensor = tensors.at(0).toTensor();
+  if (detectionTensor.dim() != 3 || detectionTensor.size(2) != 38) {
+    throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs,
+                            "Expected detection tensor shape [1, N, 38]");
+  }
+
+  int maxDetections = detectionTensor.size(1);
+  const float *detectionData =
+      static_cast<const float *>(detectionTensor.const_data_ptr());
+
+  // Parse Tensor 1: prototype masks [1, 32, H, W]
+  auto protoTensor = tensors.at(1).toTensor();
+  if (protoTensor.dim() != 4 || protoTensor.size(1) != 32) {
+    throw RnExecutorchError(
+        RnExecutorchErrorCode::UnexpectedNumInputs,
+        "Expected prototype mask tensor shape [1, 32, H, W]");
+  }
+
+  int protoHeight = protoTensor.size(2);
+  int protoWidth = protoTensor.size(3);
+  const float *protoData =
+      static_cast<const float *>(protoTensor.const_data_ptr());
+
+  // Create a set for fast class lookup if classIndices is provided
+  std::set<int32_t> allowedClasses;
+  if (!classIndices.empty()) {
+    allowedClasses.insert(classIndices.begin(), classIndices.end());
+  }
+
+  // Parse each detection from Tensor 0
+  for (int i = 0; i < maxDetections; ++i) {
+    // Each detection: [x1, y1, x2, y2, score, class, mask_coef_0...31]
+    const float *detection = detectionData + (i * 38);
+
+    float x1 = detection[0];
+    float y1 = detection[1];
+    float x2 = detection[2];
+    float y2 = detection[3];
+    float score = detection[4];
+    int label = static_cast<int>(detection[5]);
+
+    // Skip if below confidence threshold
+    if (score < confidenceThreshold) {
+      continue;
+    }
+
+    // Filter by class if specified
+    if (!allowedClasses.empty() &&
+        allowedClasses.find(label) == allowedClasses.end()) {
+      continue;
+    }
+
+    // Extract mask coefficients (32 values starting at index 6)
+    std::vector<float> maskCoefficients(32);
+    for (int j = 0; j < 32; j++) {
+      maskCoefficients[j] = detection[6 + j];
+    }
+
+    // Generate instance mask by multiplying coefficients with prototype masks
+    // Result: [protoHeight, protoWidth]
+    std::vector<float> instanceMask(protoHeight * protoWidth, 0.0f);
+
+    for (int maskIdx = 0; maskIdx < 32; maskIdx++) {
+      float coef = maskCoefficients[maskIdx];
+      const float *protoMask = protoData + (maskIdx * protoHeight * protoWidth);
+
+      for (int pixelIdx = 0; pixelIdx < protoHeight * protoWidth; pixelIdx++) {
+        instanceMask[pixelIdx] += coef * protoMask[pixelIdx];
+      }
+    }
+
+    // Apply sigmoid to mask values and threshold
+    std::vector<uint8_t> binaryMask(protoHeight * protoWidth);
+    for (int j = 0; j < protoHeight * protoWidth; j++) {
+      // Sigmoid: 1 / (1 + exp(-x))
+      float maskValue = 1.0f / (1.0f + std::exp(-instanceMask[j]));
+      binaryMask[j] = (maskValue > 0.5f) ? 1 : 0;
+    }
+
+    // Scale bounding box to original image size first
+    x1 *= widthRatio;
+    y1 *= heightRatio;
+    x2 *= widthRatio;
+    y2 *= heightRatio;
+
+    // Resize mask if needed
+    int finalMaskWidth = protoWidth;
+    int finalMaskHeight = protoHeight;
+    std::vector<uint8_t> finalMask = binaryMask;
+
+    if (returnMaskAtOriginalResolution) {
+      cv::Mat maskMat(protoHeight, protoWidth, CV_8UC1, binaryMask.data());
+      cv::Mat resizedMaskMat;
+      cv::resize(maskMat, resizedMaskMat, originalSize, 0, 0,
+                 cv::INTER_NEAREST);
+
+      finalMaskWidth = originalSize.width;
+      finalMaskHeight = originalSize.height;
+
+      // Crop mask to bounding box (removes artifacts outside bbox)
+      for (int y = 0; y < finalMaskHeight; y++) {
+        for (int x = 0; x < finalMaskWidth; x++) {
+          int idx = y * finalMaskWidth + x;
+          // Zero out pixels outside the bounding box
+          if (x < x1 || x > x2 || y < y1 || y > y2) {
+            resizedMaskMat.data[idx] = 0;
+          }
+        }
+      }
+
+      finalMask.assign(resizedMaskMat.data,
+                       resizedMaskMat.data + resizedMaskMat.total());
+    }
+
+    types::InstanceMask instance;
+    instance.x1 = x1;
+    instance.y1 = y1;
+    instance.x2 = x2;
+    instance.y2 = y2;
+    instance.mask = std::move(finalMask);
+    instance.maskWidth = finalMaskWidth;
+    instance.maskHeight = finalMaskHeight;
+    instance.label = label;
+    instance.score = score;
+    instance.instanceId = i;
+
+    instances.push_back(std::move(instance));
+  }
+
+  // Note: The model already applies NMS internally, but we can apply it again
+  // if requested with a different IoU threshold
+  if (iouThreshold < 0.45) {
+    // Only apply additional NMS if threshold is stricter than model's default
+    instances = nonMaxSuppression(instances, iouThreshold);
+  }
+
+  // Limit to maxInstances
+  if (instances.size() > static_cast<size_t>(maxInstances)) {
+    instances.resize(maxInstances);
+  }
+
+  // Update instance IDs to be sequential
+  for (size_t i = 0; i < instances.size(); ++i) {
+    instances[i].instanceId = static_cast<int>(i);
+  }
+
+  return instances;
+}
+
+std::vector<types::InstanceMask> InstanceSegmentation::generate(
+    std::string imageSource, double confidenceThreshold, double iouThreshold,
+    int maxInstances, std::vector<int32_t> classIndices,
+    bool returnMaskAtOriginalResolution, std::string methodName) {
+
+  // Parse input size from method name (e.g., "forward_512" -> 512x512)
+  cv::Size inputSize = modelImageSize; // Default to 512x512
+
+  if (methodName.find("forward_") == 0) {
+    std::string sizeStr = methodName.substr(8); // Skip "forward_"
+
+    // Check for WxH format with 'x' (e.g., "640x384")
+    size_t xPos = sizeStr.find('x');
+    if (xPos != std::string::npos) {
+      // Format: forward_WIDTHxHEIGHT
+      int width = std::stoi(sizeStr.substr(0, xPos));
+      int height = std::stoi(sizeStr.substr(xPos + 1));
+      inputSize = cv::Size(width, height);
+      std::cout << "[InstanceSeg] Parsed " << methodName << " -> W=" << width
+                << " H=" << height << std::endl;
+    } else {
+      // Check for W_H format with underscore (e.g., "640_384")
+      size_t underscorePos = sizeStr.find('_');
+      if (underscorePos != std::string::npos) {
+        // Format: forward_WIDTH_HEIGHT
+        int width = std::stoi(sizeStr.substr(0, underscorePos));
+        int height = std::stoi(sizeStr.substr(underscorePos + 1));
+        inputSize = cv::Size(width, height);
+        std::cout << "[InstanceSeg] Parsed " << methodName << " -> W=" << width
+                  << " H=" << height << std::endl;
+      } else {
+        // Format: forward_SIZE (square)
+        int size = std::stoi(sizeStr);
+        inputSize = cv::Size(size, size);
+        std::cout << "[InstanceSeg] Parsed " << methodName << " -> " << size
+                  << "x" << size << std::endl;
+      }
+    }
+  }
+
+  // Create input shape based on parsed size
+  std::vector<int32_t> inputShape = {1, 3, inputSize.height, inputSize.width};
+  std::cout << "[InstanceSeg] Input tensor shape: [1, 3, " << inputSize.height
+            << ", " << inputSize.width << "]" << std::endl;
+
+  auto [inputTensor, originalSize] =
+      image_processing::readImageToTensor(imageSource, inputShape);
+
+  // Use the specified method name (e.g., "forward_512", "forward_640")
+  auto forwardResult = BaseModel::execute(methodName, {inputTensor});
+  if (!forwardResult.ok()) {
+    throw RnExecutorchError(
+        forwardResult.error(),
+        "The model's forward function did not succeed. "
+        "Ensure the model input is correct and method name is valid.");
+  }
+
+  return postprocess(forwardResult.get(), originalSize, inputSize,
+                     confidenceThreshold, iouThreshold, maxInstances,
+                     classIndices, returnMaskAtOriginalResolution);
+}
+
+} // namespace rnexecutorch::models::instance_segmentation
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/InstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/InstanceSegmentation.h
new file mode 100644
index 0000000000..d7ed25132c
--- /dev/null
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/InstanceSegmentation.h
@@ -0,0 +1,48 @@
+#pragma once
+
+#include <executorch/extension/tensor/tensor_ptr.h>
+#include <executorch/runtime/core/evalue.h>
+#include <opencv2/opencv.hpp>
+
+#include "Types.h"
+#include "rnexecutorch/metaprogramming/ConstructorHelpers.h"
+#include <rnexecutorch/models/BaseModel.h>
+
+namespace rnexecutorch {
+namespace models::instance_segmentation {
+using executorch::extension::TensorPtr;
+using executorch::runtime::EValue;
+
+class InstanceSegmentation : public BaseModel {
+public:
+  InstanceSegmentation(const std::string &modelSource,
+                       std::shared_ptr<react::CallInvoker> callInvoker);
+
+  [[nodiscard("Registered non-void function")]] std::vector<types::InstanceMask>
+  generate(std::string imageSource, double confidenceThreshold,
+           double iouThreshold, int maxInstances,
+           std::vector<int32_t> classIndices,
+           bool returnMaskAtOriginalResolution, std::string methodName);
+
+private:
+  std::vector<types::InstanceMask>
+  postprocess(const std::vector<EValue> &tensors, cv::Size originalSize,
+              cv::Size modelInputSize, double confidenceThreshold,
+              double iouThreshold, int maxInstances,
+              const std::vector<int32_t> &classIndices,
+              bool returnMaskAtOriginalResolution);
+
+  float intersectionOverUnion(const types::InstanceMask &a,
+                              const types::InstanceMask &b);
+
+  std::vector<types::InstanceMask>
+  nonMaxSuppression(std::vector<types::InstanceMask> instances,
+                    double iouThreshold);
+
+  cv::Size modelImageSize{0, 0};
+};
+} // namespace models::instance_segmentation
+
+REGISTER_CONSTRUCTOR(models::instance_segmentation::InstanceSegmentation,
+                     std::string, std::shared_ptr<react::CallInvoker>);
+} // namespace rnexecutorch
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
new file mode 100644
index 0000000000..0235d3a823
--- /dev/null
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
@@ -0,0 +1,20 @@
+#pragma once
+
+#include <vector>
+
+namespace rnexecutorch::models::instance_segmentation::types {
+
+struct InstanceMask {
+  float x1;
+  float y1;
+  float x2;
+  float y2;
+  std::vector<uint8_t> mask;
+  int maskWidth;
+  int maskHeight;
+  int label;
+  float score;
+  int instanceId;
+};
+
+} // namespace rnexecutorch::models::instance_segmentation::types
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/smollm_tokenizer.json b/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/smollm_tokenizer.json
new file mode 100644
index 0000000000..a1659ef89a
--- /dev/null
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/smollm_tokenizer.json
@@ -0,0 +1,98249 @@
+{
+  "version": "1.0",
+  "truncation": null,
+  "padding": null,
+  "added_tokens": [
+    {
+      "id": 0,
+      "content": "<|endoftext|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 1,
+      "content": "<|im_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 2,
+      "content": "<|im_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 3,
+      "content": "<repo_name>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 4,
+      "content": "<reponame>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 5,
+      "content": "<file_sep>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 6,
+      "content": "<filename>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
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+      "id": 7,
+      "content": "<gh_stars>",
+      "single_word": false,
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+      "rstrip": false,
+      "normalized": false,
+      "special": true
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+      "id": 8,
+      "content": "<issue_start>",
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+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
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+      "content": "<issue_comment>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
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+      "content": "<issue_closed>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
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+      "content": "<jupyter_start>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 12,
+      "content": "<jupyter_text>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
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+      "content": "<jupyter_code>",
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+      "normalized": false,
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+    },
+    {
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+      "content": "<jupyter_output>",
+      "single_word": false,
+      "lstrip": false,
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+      "normalized": false,
+      "special": true
+    },
+    {
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+      "content": "<jupyter_script>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 16,
+      "content": "<empty_output>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    }
+  ],
+  "normalizer": null,
+  "pre_tokenizer": {
+    "type": "Sequence",
+    "pretokenizers": [
+      {
+        "type": "Digits",
+        "individual_digits": true
+      },
+      {
+        "type": "ByteLevel",
+        "add_prefix_space": false,
+        "trim_offsets": true,
+        "use_regex": true
+      }
+    ]
+  },
+  "post_processor": null,
+  "decoder": {
+    "type": "ByteLevel",
+    "add_prefix_space": true,
+    "trim_offsets": true,
+    "use_regex": true
+  },
+  "model": {
+    "type": "BPE",
+    "dropout": null,
+    "unk_token": null,
+    "continuing_subword_prefix": null,
+    "end_of_word_suffix": null,
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+    "byte_fallback": false,
+    "ignore_merges": false,
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+      "Ġ R",
+      "Ġf rom",
+      "Ġ en",
+      "r i",
+      "p e",
+      "ic al",
+      "ar t",
+      "o g",
+      "Ġw as",
+      "p t",
+      "ion s",
+      "p l",
+      "r ou",
+      "Ġn ot",
+      "Ġ N",
+      "Ġs h",
+      "Ġ im",
+      "igh t",
+      "Ġ =",
+      "ou t",
+      "Ċ ĠĠĠĠĠĠĠ",
+      "al l",
+      "Ġ L",
+      "Ġth is",
+      "Ġ G",
+      "Ġa b",
+      "a g",
+      "re d",
+      "p er",
+      "Ġha ve",
+      "Ġw or",
+      "Ġ âĢ",
+      "g h",
+      "ou r",
+      "in e",
+      "i z",
+      "Ġin t",
+      "om e",
+      "Ċ ĠĠĠĠĠĠĠĠ",
+      "u st",
+      "Ġu s",
+      "Ġyou r",
+      "ou ld",
+      "a ct",
+      "Ċ ĠĠĠ",
+      "a ge",
+      "o st",
+      "Ġp l",
+      "Ġ \"",
+      "ar d",
+      "el l",
+      "t her",
+      "Ġthe ir",
+      "ul t",
+      "el f",
+      "at ed",
+      "f f",
+      "ic h",
+      "en d",
+      "an s",
+      "ou s",
+      "id e",
+      "r u",
+      "ation s",
+      "Ġ O",
+      "Ġa d",
+      "a k",
+      "Ġw he",
+      "d u",
+      "c l",
+      "Ġcon t",
+      "Ġre s",
+      "as t",
+      "Ġ k",
+      "Ġthe y",
+      "Ġcom p",
+      "T he",
+      "i b",
+      "' s",
+      "or m",
+      "i p",
+      "c c",
+      "Ġd is",
+      "Ġal l",
+      "a p",
+      "am e",
+      "Ġ U",
+      "ab le",
+      "on g",
+      "e ar",
+      "e re",
+      "i e",
+      "as s",
+      "Ġim p",
+      "a re",
+      "Ġw ill",
+      "an ce",
+      "ĠT h",
+      "in d",
+      "Ġwh ich",
+      "o od",
+      "ar y",
+      "Ġ J",
+      "u al",
+      "v el",
+      "ĠI n",
+      "e p",
+      "en ce",
+      "Ġd o",
+      "on e",
+      "k s",
+      "Ġc l",
+      "Ġm ore",
+      "r y",
+      "i a",
+      "Ġt e",
+      "Ġ j",
+      "ig n",
+      "u e",
+      "ent s",
+      "re at",
+      "Ġm e",
+      "Ġo ther",
+      "Ġu n",
+      "i le",
+      "Ġh as",
+      "a ch",
+      "Ġm an",
+      "im e",
+      "ct ion",
+      "il d",
+      "s o",
+      "res s",
+      "c es",
+      "Ġa r",
+      "Ġab out",
+      "Ġb ut",
+      "a v",
+      "Ġa pp",
+      "Ġp er",
+      "o o",
+      "ic e",
+      "it ion",
+      "at er",
+      "el y",
+      "âĢ Ŀ",
+      "Ġs p",
+      "a ke",
+      "as e",
+      "Ġe v",
+      "Ġo ut",
+      "or s",
+      "ac k",
+      "en s",
+      "Ġon e",
+      "ver y",
+      "f orm",
+      "Ġ if",
+      "-- --",
+      "or y",
+      "Ġs o",
+      "or d",
+      "a ce",
+      "in t",
+      "Ġwe re",
+      "b er",
+      "nd er",
+      ") .",
+      "Ġl i",
+      "Ġal so",
+      "ou nt",
+      "Ġp art",
+      "Ġcom m",
+      "Ġthe m",
+      "o se",
+      "a u",
+      "an g",
+      "c i",
+      "Ġst ud",
+      "c on",
+      "r it",
+      "i re",
+      "Ġp e",
+      "u b",
+      "n ow",
+      "Ġ qu",
+      "Ġu p",
+      "Ġs y",
+      "ing s",
+      "Ġwh o",
+      "Ġint o",
+      "ĠâĢ ľ",
+      "ou nd",
+      "is h",
+      "Ġp re",
+      "Ġthe se",
+      "Ġit s",
+      "ĠS t",
+      "ol og",
+      "if f",
+      "pe c",
+      "ĊĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "rou gh",
+      "r ic",
+      "Ġf e",
+      "Ġbe c",
+      "Ġs ome",
+      "Ġt ra",
+      "a il",
+      "Ġ '",
+      "Ġh ow",
+      "Ġs elf",
+      "re e",
+      "Ġin d",
+      "it ies",
+      ") ,",
+      "k ing",
+      "Ġwhe n",
+      "ay s",
+      "p h",
+      "ver s",
+      "Ġe m",
+      "Ġh is",
+      "Ġ ro",
+      "if ic",
+      "Ġo ur",
+      "Ġm ay",
+      "Ġt ime",
+      "Ġu nder",
+      "ĠI t",
+      "ment s",
+      "Ġ K",
+      "at es",
+      "op le",
+      "n e",
+      "it e",
+      "Ġc ol",
+      "Ġthe re",
+      "Ġb et",
+      "ur n",
+      "c re",
+      "ĠTh is",
+      "Ġth an",
+      "ou gh",
+      "y s",
+      "Ġd iff",
+      "at ing",
+      "o b",
+      "t e",
+      "w e",
+      "ĠC h",
+      "at h",
+      "j ect",
+      "Ġt r",
+      "al ly",
+      "l ow",
+      "er v",
+      "Ġg o",
+      "m s",
+      "Ġcon s",
+      "Ġa g",
+      "Ġ ra",
+      "Ġo ver",
+      "le ct",
+      "Ġre c",
+      "x t",
+      "Ġp r",
+      "p le",
+      "ter n",
+      "i an",
+      "Ġa cc",
+      "Ġk now",
+      "c ess",
+      "Ġpe ople",
+      "Ġli ke",
+      "o ve",
+      "Ġhe l",
+      "Ġa ct",
+      "at a",
+      "on s",
+      "Ġd es",
+      "l ic",
+      "cl ud",
+      "i ous",
+      "# #",
+      "Ġy ear",
+      "ar n",
+      "Ġsu ch",
+      "Ġre l",
+      "Ġ V",
+      "Ġ Y",
+      "Ġbe en",
+      "ro w",
+      "e f",
+      "Ġu se",
+      "re n",
+      "Ġhel p",
+      "Ġne w",
+      "g et",
+      ") :",
+      "al th",
+      "ir st",
+      "er t",
+      "Ġ -",
+      "Ġwh at",
+      "au se",
+      "et h",
+      "l es",
+      "Ġw ould",
+      "Ġne ed",
+      "Ġth rough",
+      "f ul",
+      "st em",
+      "ur ing",
+      "rou nd",
+      "Ġs a",
+      "Ġa m",
+      "Ġe ff",
+      "Ġwor k",
+      "ic s",
+      "vel op",
+      "o v",
+      "Ġan y",
+      "o ol",
+      "Ġimp ort",
+      "Ġde f",
+      "Ġb l",
+      "ul ar",
+      "u res",
+      "Ġas s",
+      "Ġs pec",
+      "Ġg en",
+      "Ġt w",
+      "Ġh ad",
+      "ri b",
+      "m er",
+      "l l",
+      "Ġin clud",
+      "c ed",
+      "Ġof f",
+      "Ġm ost",
+      "is e",
+      "he d",
+      "s elf",
+      "Ġpro v",
+      "p ort",
+      "is s",
+      "ra ct",
+      "an ge",
+      "Ġp h",
+      "ic t",
+      "Ġre g",
+      "ation al",
+      "al s",
+      "Ġdiff ere",
+      "il ity",
+      "Ġa c",
+      "p ect",
+      "os s",
+      "Ġn o",
+      "I n",
+      "ot h",
+      "oo k",
+      "at ive",
+      "ar k",
+      "ol d",
+      "Ġo b",
+      "he n",
+      "Ġpro du",
+      "Ġin v",
+      "Ġm od",
+      "Ġde velop",
+      "Ġman y",
+      "Ġd i",
+      "Ġre m",
+      "Ġad d",
+      "Ġus ed",
+      "Ġon ly",
+      "Ġs c",
+      "f ter",
+      "Ġf irst",
+      "we en",
+      "ĠU n",
+      "Ġch ild",
+      "ib le",
+      "t en",
+      "ra m",
+      "u c",
+      "ĠâĢ ĵ",
+      "Ġsy stem",
+      "ar ch",
+      "Ġat t",
+      "Ġg et",
+      "as ed",
+      "Ġin st",
+      "ow er",
+      "c om",
+      "ce pt",
+      "Ġbet ween",
+      "Ġtw o",
+      "* *",
+      "Ġre t",
+      "if e",
+      "ch n",
+      "Ġf l",
+      "er m",
+      "Ġin f",
+      "Ġle arn",
+      "iz e",
+      "Ġwhe re",
+      "Ġs ur",
+      "w n",
+      "Ġsu b",
+      "Ġex am",
+      "it s",
+      "Ġin ter",
+      "Ġp o",
+      "ow n",
+      "e w",
+      "on d",
+      "Ġp ers",
+      "t s",
+      "Ġtr ans",
+      "p s",
+      "he s",
+      "Ġp ol",
+      "b le",
+      "Ġex per",
+      "Ġc ould",
+      "Ġc o",
+      "Ġsu pp",
+      "s s",
+      "ut ion",
+      "Ġn um",
+      "t ing",
+      "n g",
+      "Ġhe alth",
+      "Ġs m",
+      "t y",
+      "ur al",
+      "Ġsh ould",
+      "er n",
+      "g an",
+      "Ġst r",
+      "e ver",
+      "c y",
+      "Ġ her",
+      "u es",
+      "Ġw ell",
+      "Ġb u",
+      "il y",
+      "st and",
+      "id ent",
+      "er g",
+      "oc i",
+      "Ġt y",
+      "in es",
+      "i ed",
+      "Ġv al",
+      "Ġp res",
+      "e x",
+      "Ġex pl",
+      "_ _",
+      "Ġv ar",
+      "f ore",
+      "Ġre se",
+      "ak ing",
+      "Ġs im",
+      "Ġdiffere nt",
+      "Ġe very",
+      "iv es",
+      "olog y",
+      "in k",
+      "ic k",
+      "Ġ ke",
+      "ad e",
+      "Ġh igh",
+      "Ġwor ld",
+      "at ure",
+      "Ġ #",
+      "Ġev en",
+      "ĠH e",
+      "Ġfor m",
+      "ist s",
+      "a w",
+      "Ġw ater",
+      "Ġs ign",
+      "Ġj ust",
+      "---- ----",
+      "ant s",
+      "is m",
+      "Ġm ake",
+      "v ent",
+      "Ġex p",
+      "o y",
+      "' ,",
+      "n ess",
+      "u ch",
+      "f t",
+      "in s",
+      "ie w",
+      "Ġyear s",
+      "Ġre f",
+      "d s",
+      "Ġs et",
+      "Ġ [",
+      "Ġcomm un",
+      "Ġc re",
+      "c k",
+      "Ġdis c",
+      "ar g",
+      "Ġte chn",
+      "Ġd ata",
+      "ch ool",
+      "ĠR e",
+      "ic es",
+      "Ġre qu",
+      "ĊĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
+      "Ġc all",
+      "ical ly",
+      "Ġh um",
+      "ot her",
+      ". .",
+      "a x",
+      "ent ial",
+      "Ġ ed",
+      "ar s",
+      "Ġg ra",
+      "i el",
+      "Ġm y",
+      "Ġm ed",
+      "w ard",
+      "it ed",
+      "ru ct",
+      "h at",
+      "Ġse e",
+      "Ġd et",
+      "Ġthe n",
+      "Ġres ult",
+      "Ġth ose",
+      "ual ly",
+      "ag es",
+      "Ġw ay",
+      "Ġe ach",
+      "form ation",
+      "Ġin s",
+      "h ip",
+      "Ġbec ause",
+      "ect ion",
+      "Ġeff ect",
+      "Ġb el",
+      "Ġwh ile",
+      "Ġpro cess",
+      "Ġd uring",
+      "' t",
+      "Ġf ound",
+      "Ġar t",
+      "Ġc ount",
+      "Ġl ong",
+      "Ġp at",
+      "Ġde c",
+      "Ġf ol",
+      "Ġa fter",
+      "Ġgen er",
+      "r on",
+      "Ġex t",
+      "ar m",
+      "mer ic",
+      "Ġc ent",
+      "et y",
+      "and s",
+      "Ġin cre",
+      "( )",
+      "Ġl oc",
+      "\" ,",
+      "Ġret urn",
+      "Ċ ĊĠĠĠ",
+      "iz ed",
+      "Ġd ist",
+      "l ed",
+      "Ġpro g",
+      "ir on",
+      "i ent",
+      "Ġs k",
+      "Ġre ad",
+      "Ġ ent",
+      "im es",
+      "Ġus ing",
+      "Ġpart ic",
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+      "d e",
+      "ar ly",
+      "Ġc a",
+      "Ġc ur",
+      "Ġle ad",
+      "Ġa ut",
+      "Ġre p",
+      "el s",
+      "Ġh ist",
+      "Ġf act",
+      "Ġt est",
+      "Ġl ife",
+      "Ġcomp le",
+      "Ġf am",
+      "ĠA s",
+      "iv id",
+      "i vers",
+      "Ġ very",
+      "Ġbe ing",
+      "Ġf un",
+      "Ġo wn",
+      "n ing",
+      "re ad",
+      "Ġs he",
+      "Ġf ind",
+      "od y",
+      "Ġunder stand",
+      "i qu",
+      "ĠW e",
+      "ĊĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "Ġr ight",
+      "as es",
+      "c ent",
+      "or k",
+      "ĠA meric",
+      "ĠP ro",
+      "Ġres p",
+      "Ġpers on",
+      "Ġb ack",
+      "g g",
+      "Ġstud ents",
+      "en g",
+      "Ġde p",
+      "v ed",
+      "Ġb oth",
+      "at her",
+      "al ity",
+      "ĠA l",
+      "Ġfol low",
+      "Ġw rit",
+      "ĠF or",
+      "ĠThe y",
+      "Ġimport ant",
+      "ĠC on",
+      "Ġdo es",
+      "ĠH ow",
+      "Ġg l",
+      "Ġg row",
+      "Ġc ar",
+      "oc k",
+      "p ut",
+      "Ġm in",
+      "t le",
+      "ĠC om",
+      "T h",
+      "Ġm uch",
+      "d ition",
+      "Ġm ain",
+      "Ġcon f",
+      "v iron",
+      "i x",
+      "Ġc he",
+      "Ġapp ro",
+      "Ġm on",
+      "Ġbe fore",
+      "\" \"",
+      "ĠI f",
+      "p ar",
+      "Ġin formation",
+      "Ġs om",
+      "Ġg rou",
+      "v es",
+      "Ġs ol",
+      "Ġs ci",
+      "Ġe l",
+      "v ing",
+      "in al",
+      "Ġpro ble",
+      "Ġle vel",
+      "ion al",
+      "Ġstud y",
+      "Ġg reat",
+      "u p",
+      "an y",
+      "Ġen d",
+      "Ġa v",
+      "Ġf ood",
+      "Ġexper i",
+      "Ċ Ċ",
+      "ĠA n",
+      "n ce",
+      "i o",
+      "Ġst art",
+      "al e",
+      "Ġchild ren",
+      "Ġg ood",
+      "Ġm ight",
+      "Ġs chool",
+      "e g",
+      "Ġwith in",
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+      "Ġof ten",
+      "Ġa round",
+      "us s",
+      "t ed",
+      "Ġc or",
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+      "Ġm ade",
+      "er ing",
+      "Ġsa id",
+      "Ġsh ow",
+      "Ġp op",
+      "ver n",
+      "t o",
+      "Ġs ame",
+      ". ,",
+      "Ġp ract",
+      "u nd",
+      "ut e",
+      "Ġto o",
+      "an c",
+      "Ġp ower",
+      "Ġl it",
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+      "ak es",
+      "ra in",
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+      "Ġdes ign",
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+      "e c",
+      "re nt",
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+      "Ġact iv",
+      "Ġag ain",
+      "Ġpro t",
+      "Ġsm all",
+      "ĠA r",
+      "Ġall ow",
+      "Ġad v",
+      "Ġm em",
+      "oc ial",
+      "Ġm at",
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+      "it ions",
+      "Ġs erv",
+      "et s",
+      "Ġc are",
+      "iv ing",
+      "Ġp oss",
+      "ivid ual",
+      "p r",
+      "Ġl ess",
+      "od e",
+      "Ġexam ple",
+      ". âĢĿ",
+      "a ir",
+      "eth od",
+      "Ġd own",
+      "Ġt ake",
+      "= =",
+      "Ġcont in",
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+      "Ġor gan",
+      "ro l",
+      "Ġd ay",
+      "t he",
+      "ire ct",
+      "iel d",
+      "in ce",
+      "Ġsupp ort",
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+      "it al",
+      "Ġc ult",
+      "om en",
+      "Ġqu est",
+      "Ġhum an",
+      "ĠY ou",
+      "a pp",
+      "Ġt reat",
+      "Ġn ow",
+      "in ed",
+      "is hed",
+      "Ġind ividual",
+      "Ġg u",
+      "a red",
+      "Ġst ate",
+      "ĠThe se",
+      "Ġcall ed",
+      "ĠI nd",
+      "l and",
+      "Ġe qu",
+      "v al",
+      "d ay",
+      "d er",
+      "ar ge",
+      "Ġpo int",
+      "erg y",
+      "Ġen g",
+      "p ro",
+      "## ##",
+      "Ġnum ber",
+      "t t",
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+      "Ġc le",
+      "Ġre du",
+      "Ġbu ild",
+      "Ġs er",
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+      "r al",
+      "v en",
+      "Ġpro f",
+      "Ġa w",
+      "Ġr is",
+      "n ame",
+      "i red",
+      "ul ation",
+      "Ġb ody",
+      "ĠB ut",
+      "Ġd id",
+      "Ġm ust",
+      "Ġpl an",
+      "ain s",
+      "en cy",
+      "Ġp os",
+      "Ġbe h",
+      "Ġo cc",
+      "ra ph",
+      "en ces",
+      "her s",
+      "Ġcon st",
+      "Ġa ff",
+      "Ġc our",
+      "Ġ est",
+      "âĢ Ķ",
+      "Ġin c",
+      "Ġp ot",
+      "ĠS e",
+      "act er",
+      ". \"",
+      "our ces",
+      "Ġh im",
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+      "or ies",
+      "at ely",
+      "Ġw ant",
+      "Ġm et",
+      "ere st",
+      "Ġp ar",
+      "en se",
+      "if y",
+      "e red",
+      "Ġ ident",
+      "Ġinclud ing",
+      "ater ial",
+      "a h",
+      "ru e",
+      "pt ion",
+      "Ġ ide",
+      "Ġdis e",
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+      "ur y",
+      "in ing",
+      "ivers ity",
+      "Ġth ree",
+      "Ġc ell",
+      "iv en",
+      "o h",
+      "m on",
+      "Ġp ass",
+      "in ation",
+      "Ġle t",
+      "Ġty p",
+      "( '",
+      "p y",
+      "ab ility",
+      "Ġed uc",
+      "Ġis s",
+      "id er",
+      "l ine",
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+      "H ist",
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+      "Ġflow er",
+      "ĠOx ford",
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+      "Cl ass",
+      "Ġt ick",
+      "Ġprinc ipal",
+      "F A",
+      "Ġelim inate",
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+      "fil ter",
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+      "Ġcollect ions",
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+      "ĠS up",
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+      "Ġbal anced",
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+      "Ġt ip",
+      "os h",
+      "ĠN um",
+      "ĠNet work",
+      "ĠL ead",
+      "Ġf ing",
+      "Ġminim al",
+      "ch ain",
+      "Ġdis h",
+      "ĠH T",
+      "ĠInd ians",
+      "Ġfour th",
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+      "Ġemb ark",
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+      "Ġflow s",
+      "ask a",
+      "Ġconfirm ed",
+      "m iss",
+      "Ġed ition",
+      "Ġl ists",
+      "ĠAg ency",
+      "Ġar rest",
+      "f ound",
+      "Ġhard er",
+      "cycl op",
+      "Ġloc k",
+      "ĠOn line",
+      "EC T",
+      "Ġhead s",
+      "Ġrequest s",
+      "Ġconscious ness",
+      "Ġo v",
+      "us cript",
+      "B ecause",
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+      "ocol ate",
+      "Ġwhe el",
+      "Ġinvestig ate",
+      "Ġto w",
+      "Ġbre aking",
+      "Ġflex ibility",
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+      "he imer",
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+      "Ġf o",
+      "re ction",
+      "P L",
+      "Ġb att",
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+      "ens ed",
+      "Ġver tical",
+      "ul pt",
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+      "ers ion",
+      "Ġvibr ant",
+      "Ġflex ible",
+      "Ġd uration",
+      "Ġopp osed",
+      "Ġr ational",
+      "Ġl ake",
+      "ĠE qu",
+      "c ut",
+      "N ext",
+      "ĠL im",
+      "othe rapy",
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+      "ri ze",
+      "Ġher self",
+      "cs v",
+      "ĠM er",
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+      "ĠA R",
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+      "Ġgrant ed",
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+      "Ġsuper ior",
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+      "se x",
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+      "Ġresearc her",
+      "Ġachie ving",
+      "Ġcur ve",
+      "Ġdet ected",
+      "ĠC le",
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+      "Ġwor ship",
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+      "Ġsens or",
+      "ĠP lease",
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+      "Ġf ra",
+      "Ġlands capes",
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+      "Ġpe ers",
+      "Ġdo se",
+      "I O",
+      "Ġsav ed",
+      "Ġnum er",
+      "ut en",
+      "Ġsc ulpt",
+      "Ġtem ple",
+      "Ġpre ced",
+      "ĠP oint",
+      "Ġext ension",
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+      "Ġprop ag",
+      "Ġphenomen a",
+      "ol ar",
+      "Ġmotiv ation",
+      "Ġsong s",
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+      "Ġglob e",
+      "ĠP olicy",
+      "Ġappe al",
+      "Ġdem ocracy",
+      "D ef",
+      "Ġinf ant",
+      "Ġabs or",
+      "Ġund ers",
+      "p ie",
+      "Ġvis ited",
+      "ir ms",
+      "ĠF igure",
+      "clus ions",
+      "Ġe ase",
+      "ĠRead ing",
+      "Ġbi om",
+      "ven ile",
+      "Ġdiam eter",
+      "Ġdis hes",
+      "Ġisol ated",
+      "per or",
+      "Ġcl othes",
+      "et a",
+      "ĠPract ice",
+      "ĠAdminist ration",
+      "ĠHe b",
+      "Ġcool ing",
+      "ĠC ross",
+      "Ġdeterm ining",
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+      "ost on",
+      "am ps",
+      "Ġtown s",
+      "čĊ čĊĠĠĠ",
+      "Ġcopy right",
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+      "Ġpass word",
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+      "th rough",
+      "Ġexpand ed",
+      "Ġc as",
+      "Ġdeterm ination",
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+      "Ð ½",
+      "Ġpand emic",
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+      "m ask",
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+      "ĠP akistan",
+      "le ft",
+      "Ġenh anced",
+      "Ġne ural",
+      "Ġsuff ered",
+      "Ġcomp os",
+      "ĠConn ect",
+      "Ġf rust",
+      "Ġtem porary",
+      "ogen ic",
+      "pt ic",
+      "T able",
+      "Ġg ast",
+      "rou d",
+      "ĠL ow",
+      "Ġchem istry",
+      "p ower",
+      "per m",
+      "un ct",
+      "x y",
+      "Ġcontext s",
+      "ĠAng el",
+      "Ġvers us",
+      "Ġman ager",
+      "Ġhabit ats",
+      "ĊĊ Ġ",
+      "Ġra ising",
+      "ĠWind ows",
+      "o ons",
+      "Ġdis ability",
+      "Ġbre ed",
+      "ĠM oon",
+      "r in",
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+      "ĠWith out",
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+      "ap ed",
+      "Ġl osing",
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+      "ĠDist rict",
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+      "Ġbl ank",
+      "Ġor dered",
+      "clud e",
+      "ĠO bs",
+      "Ġelse where",
+      "Ġke ys",
+      "Ġeld er",
+      "' ))",
+      "Ġg athered",
+      "Ġwhe at",
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+      "ĠD own",
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+      "k ind",
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+      "Ġad olesc",
+      "qu ir",
+      "ad vant",
+      "Ġearl iest",
+      "Ġhe nce",
+      "Ġaddress ed",
+      "Ġhorm one",
+      "Ġexc ited",
+      "Ġtrib es",
+      "ri z",
+      "ĠC rit",
+      "ĠF our",
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+      "Ġsudden ly",
+      "ĠR oad",
+      "Ġcontroll ing",
+      "m ail",
+      "Ġex haust",
+      "ĠI D",
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+      "on ent",
+      "roll ed",
+      "Ġt elling",
+      "Ġag ed",
+      "Ġcon j",
+      "Ġcolumn s",
+      "ĠSp irit",
+      "Ġac ute",
+      "Ġed ges",
+      "Ġdirect ions",
+      "Ġas c",
+      "Ġt ropical",
+      "ou red",
+      "Ġcount less",
+      "Ġpar ad",
+      "Ġs aving",
+      "Ġvo ices",
+      "Ġact ing",
+      "ĠM ath",
+      "Ġm ine",
+      "em a",
+      "Ġhunt ing",
+      "Ġse at",
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+      "ĠP ath",
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+      "ĠS ir",
+      "Ġb omb",
+      "C o",
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+      "Ġman ual",
+      "Ġview ed",
+      "Ġsatis fact",
+      "Ġun ion",
+      "N S",
+      "ĠH arv",
+      "Ġdis ag",
+      "ĠC ast",
+      "ĠL og",
+      "C A",
+      "r h",
+      "ĠArt icle",
+      "Ġdec ay",
+      "ar ation",
+      "m al",
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+      "ĠR ock",
+      "T ER",
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+      "ĠCent re",
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+      "AT ION",
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+      "c ult",
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+      "ĠW all",
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+      "ĠT op",
+      "Ġcomb ine",
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+      "ĠJ ac",
+      "Ġprefer red",
+      "ann ed",
+      "Î ±",
+      "as ant",
+      "ms g",
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+      "Ġtherm al",
+      "Ġsc r",
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+      "ĠH or",
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+      "Ġcl uster",
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+      "Ġstre ets",
+      "Ġmag ic",
+      "p i",
+      "ex ist",
+      "Ġfar ms",
+      "Ã ¤",
+      "Ġph osph",
+      "Ġsh oot",
+      "In f",
+      "Ġfall ing",
+      "Ġremov ing",
+      "Ġt ales",
+      "Ġt ight",
+      "Ġequ ipped",
+      "m ond",
+      "n on",
+      "Ġsp atial",
+      "Ġamid st",
+      "Ġgra des",
+      "Ġbacter ial",
+      "Ġatt ributes",
+      "ĠPro p",
+      "Ġinvolve ment",
+      "Ġhigh lights",
+      "N e",
+      "Ġv ig",
+      "Ġquant ity",
+      "Ġgen u",
+      "ĠC ase",
+      "t xt",
+      "Ġdef initely",
+      "ĠC E",
+      "Ġast hma",
+      "cent ury",
+      "ci pe",
+      "Ġeven ing",
+      "Ġille gal",
+      "Q L",
+      "b est",
+      "Ġpay ing",
+      "lik ely",
+      "ĠM ach",
+      "Ġdut y",
+      "ch ar",
+      "ĠP ass",
+      "f ields",
+      "Ġwe aring",
+      "Ġvit amins",
+      "Ġsu it",
+      "Ġdirect ed",
+      "Ġc ort",
+      "Ġelect ed",
+      "reg ation",
+      "Ġcal m",
+      "Ġdiscipl ine",
+      "Ġpoint ed",
+      "iox id",
+      "Ġsepar ated",
+      "Ġnutri ent",
+      "Ġmag ical",
+      "du ate",
+      "Ġpl ain",
+      "z heimer",
+      "AT E",
+      "ange red",
+      "Ġaut o",
+      "om er",
+      "W elcome",
+      "im m",
+      "im ents",
+      "C R",
+      "in ition",
+      "ĠU r",
+      "ĠT able",
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+      "ir th",
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+      "Ġwrit es",
+      "ĠKore a",
+      "ĠRet urns",
+      "Ġtrig ger",
+      "ct ors",
+      "Ġdiv ine",
+      "Ġmist akes",
+      "Ġbreak s",
+      "ĠCo ast",
+      "Ġp d",
+      "ra q",
+      "un a",
+      "Ġowners hip",
+      "Ġsp an",
+      "Ġmanufacture rs",
+      "a fter",
+      "pl oad",
+      "Ġord ers",
+      "Ġphilos oph",
+      "S I",
+      "Ġphys ician",
+      "ĠDig ital",
+      "ĠD ar",
+      "ĠM D",
+      "Pe ople",
+      "ĠS und",
+      "epend ent",
+      "Ġl aser",
+      "ĠColumb ia",
+      "ĠAv oid",
+      "Ġd ictionary",
+      "b uild",
+      "Ġsole ly",
+      "Ġsh ock",
+      "ĠW ay",
+      "Ġcour ts",
+      "Ġrespons ibilities",
+      "oc ity",
+      "ĠP et",
+      "Ġse gment",
+      "Ġf lying",
+      "H A",
+      "Ġplant ing",
+      "Ġconcent rations",
+      "inc oln",
+      "od er",
+      "Ġfat ty",
+      "O ut",
+      "Ġn om",
+      "pred ict",
+      "Ġlog ger",
+      "Ġpath s",
+      "v als",
+      "Ġ ?",
+      "Ġsac red",
+      "b el",
+      "comm and",
+      "Ġf ats",
+      "ĠIm m",
+      "Ġgent le",
+      "Ġl ip",
+      "ĠD om",
+      "et ing",
+      "Ġse cre",
+      "Ġg ases",
+      "Ġdo ors",
+      "ĠC ir",
+      "un icip",
+      "ĠF ire",
+      "Ġper pet",
+      "iv ation",
+      "ĠC ode",
+      "Ġarg ued",
+      "Ġhealth ier",
+      "Ġin clusive",
+      "Ġal ert",
+      "ĠG r",
+      "ar ters",
+      "Ġto ys",
+      "Ġneut ral",
+      "Ñ Ģ",
+      "Ġperfect ly",
+      "Ġd rought",
+      "Ġadd iction",
+      "lay er",
+      "Ġp airs",
+      "du ction",
+      "is ely",
+      "ĠSup reme",
+      "Ġdram atic",
+      "ĠCons ervation",
+      "u rolog",
+      "Ġdeg rad",
+      "Ġspec im",
+      "bl ock",
+      "o ys",
+      "Ġcl ock",
+      "Ġch air",
+      "ĠM aster",
+      "il a",
+      "Ġmet als",
+      "z one",
+      "[ -",
+      "ĊĠĠĠĠĠĠĠĠ ĊĠĠĠĠĠĠĠ",
+      "Ġfin ish",
+      "Ġcat tle",
+      "Ġbiod iversity",
+      "Ġro yal",
+      "spec ific",
+      "t ag",
+      "Ġm ic",
+      "ĠA L",
+      "S m",
+      "Ġinc ident",
+      "Ġm g",
+      "ac hers",
+      "m ade",
+      "$ $",
+      "Ġobst acles",
+      "Ġpan els",
+      "A re",
+      "Ġdi pl",
+      "Ġanalys es",
+      "ĠI ss",
+      "Ġsl aves",
+      "Ġch ap",
+      "Ġf ought",
+      "ric ted",
+      "al m",
+      "\" ],",
+      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ou l",
+      "S ource",
+      "Ġt ough",
+      "b its",
+      "ĠY es",
+      "Ġcharacter istic",
+      "O M",
+      "Ġrecogn izing",
+      "ex ec",
+      "Ġspok en",
+      "Ġcardi ovascular",
+      "lab els",
+      "Ġt one",
+      "Ġn ice",
+      "Ġsub t",
+      "Ġt on",
+      "ĠPre vention",
+      "Ġen orm",
+      "Ġplan ets",
+      "Ġent ering",
+      "Ġm ock",
+      "van ia",
+      "ES S",
+      "ĠHe art",
+      "Ġwor st",
+      "ĠP en",
+      "ĠFace book",
+      "Ġsl ave",
+      "iss ance",
+      "Ġpl a",
+      "Ġimag ination",
+      "ĠF il",
+      "are t",
+      "Ġman uscript",
+      "ĠInv est",
+      "pt om",
+      "Ġpractition ers",
+      "friend ly",
+      "Ġad vers",
+      "Ġsp ots",
+      "Ġcandid ates",
+      "er ge",
+      "Im age",
+      "f s",
+      "Ġbehavior al",
+      "Ġestablish ing",
+      "ĠF uture",
+      "ĠPro g",
+      "ĠInd eed",
+      "ĠC r",
+      "Ġcl ar",
+      "erm an",
+      "be an",
+      "Ġgraph ic",
+      "Ġmod erate",
+      "ĠProt ection",
+      "Ġprior ity",
+      "Ġexpand ing",
+      "Ġnot ion",
+      "Ġh urt",
+      "Ġstay ing",
+      "Ġaud iences",
+      "Ġat oms",
+      "Ġcont ents",
+      "aw are",
+      "ĠScot land",
+      "E ng",
+      "Ġconclud ed",
+      "ent er",
+      "Ġcharg ed",
+      "Ġcl ust",
+      "ĠCh all",
+      "g reen",
+      "sy l",
+      "end ar",
+      "Ġcomb ining",
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+      "elt a",
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+      "Ġo m",
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+      "Ġlect ure",
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+      "P y",
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+      "Ġpat ience",
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+      "ou nder",
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+      "ĠPl ace",
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+      "z ym",
+      "Ġw ider",
+      "Ġaccompl ish",
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+      "M ay",
+      "ĠM S",
+      "Ġocc as",
+      "Ġg if",
+      "Ar t",
+      "Ġown ed",
+      "ĠAl zheimer",
+      "Ġeng ines",
+      "Ġc otton",
+      "s we",
+      "Ġgra b",
+      "ĠB oston",
+      "Ġqu arter",
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+      "Ġste am",
+      "Ġreflect s",
+      "ans as",
+      "ĠMin ister",
+      "Ġmed itation",
+      "Ġregul atory",
+      "Ġstrugg les",
+      "Ġprom ising",
+      "Ġfil ms",
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+      "ĠHe ad",
+      "j ud",
+      "ĠBe ing",
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+      "Ġh all",
+      "ĠWrit e",
+      "Ġexec utive",
+      "A ss",
+      "Ġthera peutic",
+      "Ġthreat ened",
+      "Ġun likely",
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+      "Ġapp s",
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+      "erc ury",
+      ": :",
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+      "h ire",
+      "dat aset",
+      "Ġpr ime",
+      "ĠIm pro",
+      "Ġassign ment",
+      "ĠE mer",
+      "P D",
+      "Ġexist ed",
+      "ĠCam bridge",
+      "Ġsupp lements",
+      "Ġcon d",
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+      "ĠC ard",
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+      "Ġmembr ane",
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+      "Ġrein for",
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+      "ĠHosp ital",
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+      "part s",
+      "Ġth reshold",
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+      "st yle",
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+      "Ã ¢",
+      "Ġs ending",
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+      "ĠFor ce",
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+      "K E",
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+      "Th ough",
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+      "Ġp or",
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+      "Ġwealth y",
+      "Ġgener ator",
+      "Ġcirc uits",
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+      "trans form",
+      "Ġsuppl ied",
+      "zz le",
+      "C I",
+      "Ġspecial ists",
+      "Ġin k",
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+      "Ġmet eor",
+      "Ġsun ny",
+      "Ġread s",
+      "ĠH om",
+      "ĠN G",
+      "Ġup set",
+      "Ġdistingu ished",
+      "Ġdiarr hea",
+      "Ġint ensive",
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+      "load s",
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+      "Ġfold er",
+      "Ġoccur rence",
+      "ĠCor ps",
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+      "ogn itive",
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+      "restr ial",
+      "Ġaccommod ate",
+      "ĠA h",
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+      "he res",
+      "a ft",
+      "Ġgl and",
+      "ĠRes ource",
+      "Ġdis abled",
+      "Ġbuild s",
+      "Ġdom ains",
+      "Ġcoord inates",
+      "ĠFrank lin",
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+      "id ae",
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+      "vel t",
+      "O rig",
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+      "Ġr ou",
+      "Ġpublic ly",
+      "Ġbu gs",
+      "Ġaqu atic",
+      "Ġge ography",
+      "Ġconsider ably",
+      "Ġassum ption",
+      "Ġauton omy",
+      "Ġsurviv ors",
+      "Ġbrilli ant",
+      "Ġter rain",
+      "j ob",
+      "Ġdel ves",
+      "Ġenc oding",
+      "Ġfra ud",
+      "ĠS ab",
+      "Ġmar vel",
+      "Ġrom antic",
+      "ĠY e",
+      "RO M",
+      "ilib rium",
+      "ĠRom ans",
+      "Ġal arm",
+      "ĠCent ers",
+      ") [",
+      "app ropriate",
+      "ĠQ ur",
+      "Ġn urse",
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+      "D id",
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+      "ĠD aily",
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+      "Ġsign ature",
+      ". ||",
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+      "Ġse arc",
+      "he astern",
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+      "Ġsitu ated",
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+      "Ġl apt",
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+      "N umber",
+      "s n",
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+      "Ġhost s",
+      "Ġrecept ors",
+      "Ġa rom",
+      "Ġb ases",
+      "ĠG ir",
+      "Ġver t",
+      "ĠT ax",
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+      "Ġread ings",
+      "Ġch ip",
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+      "G R",
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+      "ĠN i",
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+      "ĠVol ume",
+      "o T",
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+      "ĠCom par",
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+      "Ġth umb",
+      "Ġad mit",
+      "C ent",
+      "ĠZ h",
+      "Ġscre ens",
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+      "Ġsus pected",
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+      "c d",
+      "il ton",
+      "Ġb eds",
+      "Ġt ire",
+      "ast ing",
+      "ĠSt ay",
+      "Ġco inc",
+      "Ġpath way",
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+      "Ġunw anted",
+      "Ġle ts",
+      "Ġprom ised",
+      "Ġbeh ave",
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+      "im eter",
+      "x b",
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+      "ĠW atch",
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+      "Ġmiss ed",
+      "Ġde lete",
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+      "ĠH ur",
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+      "Ġtri ps",
+      "ĠAdv anced",
+      "Ġoptim ize",
+      "Ġ //",
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+      "ĠJe an",
+      "Ġprom otion",
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+      "ap ore",
+      "it oring",
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+      "em bed",
+      "Ġcryst al",
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+      "Ġb ars",
+      "Ġtw entieth",
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+      "ĠCal cul",
+      "ig ating",
+      "ph al",
+      "Ġspec ify",
+      "ĠH ab",
+      "Ġconstit u",
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+      "Ġco in",
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+      "ĠM os",
+      "Ċ ĊĊĠĠĠ",
+      "Ġint u",
+      "Ġpr iest",
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+      "Ġfe e",
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+      "Ġwond ers",
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+      "čĊ čĊĠĠĠĠĠĠĠ",
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+      "d y",
+      "re view",
+      "Ġind ivid",
+      "de g",
+      "ĠC ut",
+      "Ġhop ing",
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+      "il ateral",
+      "ĠH as",
+      "Ġpl ag",
+      "Ġepid em",
+      "Ġste ep",
+      "Ġl ith",
+      "ĠS D",
+      "ĠD u",
+      "tt es",
+      "inflamm atory",
+      "Ġadvoc acy",
+      "t ensor",
+      "Ġpres um",
+      "e u",
+      "Ġprot est",
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+      "ig nt",
+      "s un",
+      "Ġgener ates",
+      "ĠR ub",
+      "Ġret ention",
+      "Ġrest ored",
+      "Com p",
+      "ĠL ower",
+      "Ġrecomm ends",
+      "ĠY ears",
+      "Ġter rible",
+      "ĠEst ab",
+      "Ġadjust ments",
+      "s amples",
+      "ĠR os",
+      "Ġcollabor ate",
+      "ĠK ansas",
+      "Ġexplan ations",
+      "Ġicon ic",
+      "ĠS ac",
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+      "m ia",
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+      "Ġin cl",
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+      "Ġm ercury",
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+      "Ġwh ales",
+      "Ġcrow d",
+      "e ous",
+      "Ġmeth ane",
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+      "G roup",
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+      "now ned",
+      "sw er",
+      "ĠAct ivity",
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+      "Ġy ard",
+      "Ġk ings",
+      "Ġdecl ined",
+      "Ġbeh alf",
+      "S R",
+      "ĠR out",
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+      "Ġtra ject",
+      "ĠBel g",
+      "Ġsoci o",
+      "ues e",
+      "Ġaccord ance",
+      "( __",
+      "Ġc itation",
+      "Ġrem embered",
+      "Ġfail ures",
+      "Ġvom iting",
+      "Ġc ite",
+      "Ġcompet e",
+      "ĠDep ression",
+      "Ġattach ment",
+      "Ġfun gi",
+      "ĠTrans port",
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+      "ĠMach ine",
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+      "Ġplace ment",
+      "Ġmembers hip",
+      "Ġep och",
+      "ĠG DP",
+      "ĠPlan ning",
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+      "Ġmanip ulation",
+      "ĠElect ric",
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+      "Ġover se",
+      "Ġstrengthen ing",
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+      "Ġdial og",
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+      "F R",
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+      "Ġmil it",
+      "Ġd irt",
+      "Ġkey board",
+      "p he",
+      "Ġal leg",
+      "ĠP erson",
+      "Ġtransl ate",
+      "Ġless er",
+      "e ared",
+      "ĠBr idge",
+      "Ġ ^",
+      "Ġbl adder",
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+      "F act",
+      "Ġinterpre ted",
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+      "Ġparticip ated",
+      "met adata",
+      "ĠAl low",
+      "Ġaest hetic",
+      "ĠEn s",
+      "Ġfar mer",
+      "Ġconf erences",
+      "Ġr ival",
+      "Ġcount ies",
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+      "Ġdram a",
+      "ignt y",
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+      "Ġd y",
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+      "Ġal b",
+      "Ġinvent ory",
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+      "ĠJeff erson",
+      "ĠÂ °",
+      "Requ est",
+      "ĠM ong",
+      "ĠP oll",
+      "Ġadapt ive",
+      "Ġtrib al",
+      "ĠSk ills",
+      "ĠN ap",
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+      "Ġprom ises",
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+      "Ġcont ra",
+      "ĠTim my",
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+      "P RO",
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+      "Ġm akers",
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+      "Ġben ch",
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+      "atur day",
+      ".... ....",
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+      "ĠAd apt",
+      "ĠTra ditional",
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+      "ak i",
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+      "Ġr um",
+      "Ġ: :",
+      "ĠÂ ·",
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+      "Ġtun nel",
+      "ĊĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
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+      "oc cer",
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+      "D isc",
+      "Ġl ighter",
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+      "Ġch im",
+      "Ġabs ent",
+      "ĠP red",
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+      "ix ed",
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+      "ĠW HO",
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+      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
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+      "g iving",
+      "Ġnegot iations",
+      "Ġsim ulations",
+      "Ġunder water",
+      "Ġinvestig ating",
+      "Ġsepar ately",
+      "i ating",
+      "g t",
+      "ou b",
+      "am ation",
+      "F il",
+      "Ġcann ab",
+      "Ġb ay",
+      "ĠRet urn",
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+      "Ġor n",
+      "Ġsu pre",
+      "Ġg aming",
+      "ĠB ox",
+      "ĠS ustainable",
+      "Ġdat asets",
+      "ĠHT ML",
+      "ĠS ix",
+      "Ġdec iding",
+      "Ġstri p",
+      "Ġcardi ac",
+      "Ġglass es",
+      "Col or",
+      "Ġca ffe",
+      "Ġground water",
+      "Ġsubst itute",
+      "Ġresc ue",
+      "ĠW ould",
+      "ĠD ynam",
+      "Ġins ulation",
+      "ard less",
+      "j pg",
+      "p ip",
+      "ĠM it",
+      "Ġdes ires",
+      "io let",
+      "au nt",
+      "Ġrad ius",
+      "Ġoper ates",
+      "O K",
+      "Ġdes irable",
+      "Ġod ds",
+      "Ġan not",
+      "Ġstrict ly",
+      "Ġconcept ual",
+      "p c",
+      "Ġregist ration",
+      "h ave",
+      "Ġdemand ing",
+      "ĠT en",
+      "Ġappropri ately",
+      "ION S",
+      "ĠKenn edy",
+      "ig ion",
+      "ĠAm endment",
+      "ĠTh ings",
+      "d ays",
+      "ĠSc he",
+      "Ġrequest ed",
+      "Ġre lying",
+      "D B",
+      "Ġris es",
+      "wind ow",
+      "m id",
+      "Ġconv ict",
+      "Ġe cho",
+      "Ġl enses",
+      "ĠâĢ Ŀ",
+      "Ġwar mer",
+      "Ġfrag ments",
+      "Ġoptim ization",
+      "ut il",
+      "ĠF ive",
+      "ĠLe on",
+      "Ġtele phone",
+      "h ol",
+      "ĠMount ains",
+      "A I",
+      "ĠS ud",
+      "ĠF all",
+      "Ġpe cul",
+      "Ġele g",
+      "ĠAr thur",
+      "ĠAr gs",
+      "Ġceremon y",
+      "Ġde hyd",
+      "Ġtrans cript",
+      "Ġneighb oring",
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+      "Ġt ender",
+      "Ġab d",
+      "Ġur gent",
+      "Ġl act",
+      "ĠG as",
+      "Ġtra pped",
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+      "Ġup coming",
+      "Ġsou p",
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+      "rolog y",
+      "op ter",
+      "Ġmyth ology",
+      "Ġvot ers",
+      "Ġbit ter",
+      "Ġconsult ation",
+      "Ġconvent ions",
+      "Ġo ven",
+      "ol as",
+      "Ġbas in",
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+      "un ing",
+      "ĠL oss",
+      "Ġsk ip",
+      "Ġr het",
+      "Ġdys function",
+      "ĠG PS",
+      "ĠGree ks",
+      "Ġext ensively",
+      "Ġdow nt",
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+      "å Ī",
+      "Ġfail ing",
+      "dom ain",
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+      "ra de",
+      "Ġdam ages",
+      "lighten ment",
+      "Ġm asks",
+      "Ġl unar",
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+      "iling ual",
+      "Ġsod a",
+      "Ġconf ined",
+      "ĠSim ple",
+      "Ġw olf",
+      "Ġpra ise",
+      "t imes",
+      "Ġgu ests",
+      "Ġvolunt ary",
+      "ap ing",
+      "Ġob ese",
+      "ĠEvery one",
+      "se en",
+      "ĠSim ilar",
+      "pt on",
+      "Ġhier arch",
+      "Ġepis odes",
+      "Ġg el",
+      "ĠAff airs",
+      "Ġap i",
+      "ĠB apt",
+      "orient ed",
+      "M R",
+      "q a",
+      "Ġout standing",
+      "st ock",
+      "Ġstr at",
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+      "Ġc f",
+      "Ġ\" .",
+      "Ġdis pro",
+      "s ort",
+      "Ġdisc ount",
+      "x c",
+      "best os",
+      "Ġp ulumi",
+      "Ġall ies",
+      "Ġsens ation",
+      "Ġwithdraw al",
+      "Ġhas n",
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+      "ĠB ot",
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+      "Ġrul er",
+      "Ġg low",
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+      "Ġid x",
+      "doc s",
+      "l av",
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+      "Ġnew born",
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+      "Ġse ats",
+      "Ġmat plotlib",
+      "ĠPat ients",
+      "ĠPM ID",
+      "Ġcaffe ine",
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+      "ĠParam eters",
+      "Ġyour s",
+      "Ġsat urated",
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+      "Ġmind ful",
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+      "ĠB road",
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+      "Ġimp rison",
+      "Ġthread s",
+      "Ġnum b",
+      "Ġm ines",
+      "Ġappl iances",
+      "Ġpecul iar",
+      "ĠJ upiter",
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+      "ott om",
+      "ĠB ah",
+      "g ate",
+      "Ġv oy",
+      "Ġsh ar",
+      "Ġgl ory",
+      "ĠBen efits",
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+      "Ġind ices",
+      "Ġintent ions",
+      "Ġinv ite",
+      "uss ion",
+      "Ġcar p",
+      "Ġresol ved",
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+      "aut ions",
+      "Ġenthusi asts",
+      "Ġflu ores",
+      "Ġbiom ass",
+      "Ġtrig gered",
+      "Ġdes cent",
+      "Ġcor ners",
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+      "Ġview ers",
+      "Ġmuseum s",
+      "ograph ies",
+      "iv ism",
+      "Ġhead ers",
+      "ĠProt ocol",
+      "Ġelectrom agnetic",
+      "acke xchange",
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+      "Ġschol arly",
+      "D oes",
+      "Ġarrest ed",
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+      "ĠL ady",
+      "ĠAst ron",
+      "l ook",
+      "ĠS ound",
+      "Ġwarm th",
+      "Ġteen agers",
+      "Ġanim ation",
+      "Ġhop ed",
+      "Ġhypert ension",
+      "Ġmagnific ent",
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+      "ze ch",
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+      "ĠI C",
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+      "Ġdelay ed",
+      "Am ong",
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+      "T op",
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+      "P ol",
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+      "he ll",
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+      "Ġmetap hor",
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+      "Ġcol ours",
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+      "Ġve ctors",
+      "if ting",
+      "ĠT uesday",
+      "ac re",
+      "Ġnut rit",
+      "Ġimag ined",
+      "Ġground breaking",
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+      "Ġl ining",
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+      "ĠIm perial",
+      "s ent",
+      "ot y",
+      "Ġintest inal",
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+      "Ġc ous",
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+      "Ġev ac",
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+      "Ġlaw yer",
+      "ag us",
+      "ĠG er",
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+      "Ġg ang",
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+      "b ird",
+      "TS D",
+      "ĠLeg al",
+      "ĠCons ult",
+      "L C",
+      "k it",
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+      "Ġrec ruit",
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+      "Ġstraight forward",
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+      "ĠR oss",
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+      "ĠU C",
+      "Ġadjust ed",
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+      "Ġintrodu ces",
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+      "Ġcryst als",
+      "ĠE aster",
+      "ĠK it",
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+      "Ġv ow",
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+      "ĠE lement",
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+      "Ġg am",
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+      "b ian",
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+      "ĠC ab",
+      "ĠN ight",
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+      "b ling",
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+      "ĠA y",
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+      "t i",
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+      "ĠH ub",
+      "Ġactiv ated",
+      "ĠT aking",
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+      "fact ory",
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+      "ĠN ich",
+      "y our",
+      "ĠP V",
+      "Con st",
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+      "imm une",
+      "Ġh anging",
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+      "Ġb ore",
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+      "l an",
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+      "Å į",
+      "Ġtru ck",
+      "pro f",
+      "co ord",
+      "ĠTer rit",
+      "u uid",
+      "Ġt ears",
+      "Ġlik es",
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+      "Ġb apt",
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+      "Ġgod dess",
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+      "D ay",
+      "Ġinadequ ate",
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+      "resh ape",
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+      "ĠC V",
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+      "ast ically",
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+      "is ite",
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+      "ĠJ our",
+      "Ġthr iving",
+      "Ġover night",
+      "ĠIndian a",
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+      "Ġcompat ible",
+      "ĠSt ore",
+      "osc ow",
+      "Ġreprodu ce",
+      "Ġrele asing",
+      "fig ure",
+      "train ing",
+      "Ġp a",
+      "Ġe ternal",
+      "E arly",
+      "Ġbre eds",
+      "Ġelim inated",
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+      "E lect",
+      "ra ul",
+      "Ġparam ount",
+      "Ġcom ics",
+      "b oth",
+      "Ġlif es",
+      "? <",
+      "Ġcontact s",
+      "ĠAlab ama",
+      "ĠN C",
+      "Ġground ed",
+      "ĠS QL",
+      "ĠR ain",
+      "ĠAnt on",
+      "ĠH arm",
+      "r ator",
+      "Ġw rap",
+      "Ġmill enn",
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+      "Ġoverl ooked",
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+      "st able",
+      "ĠP ier",
+      "oc ide",
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+      "mer cial",
+      "ĠLaw rence",
+      "ĠProf essional",
+      "Ġheight ened",
+      "Ġconsid ers",
+      "Ġ ).",
+      "Ġblock ed",
+      "Ġchem otherapy",
+      "Ġcat alog",
+      "ĠTest ing",
+      "Ġhand led",
+      "Ġvisual ization",
+      "Ġmit ochond",
+      "Ġvig il",
+      "ĠV ideo",
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+      "Ġdel ta",
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+      "Wid get",
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+      "he um",
+      "Ġloc als",
+      "A nal",
+      "Ġdry ing",
+      "oub ted",
+      "Ġafter wards",
+      "= -",
+      "ĠB rad",
+      "oc ur",
+      "Ġun common",
+      "Ġexhib its",
+      "} \")",
+      "ĠDise ases",
+      "ĠV eter",
+      "ĠT ools",
+      "ĠQ t",
+      "Ġvalid ity",
+      "ropol itan",
+      "Ġbirth day",
+      "Ġmosquit o",
+      "S ocial",
+      "ĠT erm",
+      "Ġdem ographic",
+      "Ġdivid ing",
+      "mind ed",
+      "Ġs ake",
+      "Ġvent ilation",
+      "iz oph",
+      "ĠSo on",
+      "Ġto ll",
+      "roph y",
+      "Ġp ere",
+      "Ġmob il",
+      "Ġconven ience",
+      "ĠFact ors",
+      "ert o",
+      "Ġcor rection",
+      "ĠS ong",
+      "Ġclar ify",
+      "Ġn ausea",
+      "Ġvis ibility",
+      "Ġes cal",
+      "ĠQu estion",
+      "Ġcon sec",
+      "Ġvari ants",
+      "F ood",
+      "f oo",
+      "ĠS ant",
+      "Ġrestaur ant",
+      "Ġl oving",
+      "Ġexp ose",
+      "Ġadministr ators",
+      "EMA IL",
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+      "Ġcondition ing",
+      "e conomic",
+      "Ġperiod ic",
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+      "Ġadul thood",
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+      "ĠD or",
+      "Ġ[ ],",
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+      "Ġo scill",
+      "Ġdis placement",
+      "Ġcru el",
+      "Ġber ries",
+      "Ġst ain",
+      "Ġclean er",
+      "Ġpure ly",
+      "Ġb anned",
+      "ĠJam ie",
+      "ĠK al",
+      "ros is",
+      "z ip",
+      "ĠS ports",
+      "Ġde le",
+      "eth yl",
+      "ĠOtt oman",
+      "Ġcombust ion",
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+      "play er",
+      "og lob",
+      "Ġimpl ant",
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+      "g ly",
+      "Ġadapt ing",
+      "čĊ ĉ",
+      "Ġsurge on",
+      "ĠSt ock",
+      "izoph ren",
+      "z o",
+      "ĠT rib",
+      "Ġrem edies",
+      "ER R",
+      "Ġlast ed",
+      "Ġload ing",
+      "Ġles ions",
+      "est ab",
+      "Ġfinanc ing",
+      "Ġrel ied",
+      "ĠAct ivities",
+      "bo ards",
+      "Ġallev iate",
+      "ĠB BC",
+      "Ġthr one",
+      "ir k",
+      "ĠO K",
+      "Ġstat ue",
+      "as ia",
+      "aud i",
+      "s ql",
+      "ol ia",
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+      "Ġmicrob ial",
+      "L a",
+      "x e",
+      "Ġst amp",
+      "ĠVirt ual",
+      "Ġapp end",
+      "dis play",
+      "Ġp anc",
+      "Ġtransport ed",
+      "Ġra m",
+      "Ġinteg er",
+      "Ġw olves",
+      "ĠF at",
+      "hand ler",
+      "Ġpun ct",
+      "AS T",
+      "r idge",
+      "Ġcompar ative",
+      "Ġtempor arily",
+      "Ġo zone",
+      "ĠH ans",
+      "Ġaut umn",
+      "Ġb ats",
+      "ĠS C",
+      "ĠL es",
+      "ill es",
+      "ĠC ool",
+      "Ġhas h",
+      "Ġquestion ing",
+      "Ġret ained",
+      "Ġtrou bles",
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+      "th reshold",
+      "Ġland ed",
+      "Ġsn akes",
+      "ĠT B",
+      "Ġab st",
+      "uls ive",
+      "Ġhar assment",
+      "ert ation",
+      "in us",
+      "ry st",
+      "pos itive",
+      "Ġcontinu ity",
+      "Ġterrit orial",
+      "Ġtransform ations",
+      "Whe ther",
+      "ĠS yn",
+      "Ġad herence",
+      "Ġad olescent",
+      "Ġburn s",
+      "ĠAng lo",
+      "ĠBanglades h",
+      "Ġret ired",
+      "ĠIm ages",
+      "Ġsp ider",
+      "Ġproceed ings",
+      "ĠS now",
+      "m aker",
+      "ĠEm ploy",
+      "ĠS ens",
+      "Ġgu est",
+      "ĠRef erence",
+      "Ġke en",
+      "Ġsqu ares",
+      "Ġnot eb",
+      "Ġanat omy",
+      "or rh",
+      "ĠE instein",
+      "Ġatt orney",
+      "icro b",
+      "Ġsched ules",
+      "Ġinst ability",
+      "Ġprim itive",
+      "ĠBit coin",
+      "J une",
+      "Ġlog s",
+      "Ġsens ing",
+      "Ġfil ed",
+      "ĠC ould",
+      "Ġman ually",
+      "Ġinter faces",
+      "Ġmedic inal",
+      "s pect",
+      "Ġappear ing",
+      "ĠSim ply",
+      "log ging",
+      "Ġr ip",
+      "Ġfit ted",
+      "pl aces",
+      "ĠHam ilton",
+      "Ġt ightly",
+      "ĠR ule",
+      "Ġmic row",
+      "ĠDis orders",
+      "ĠAN Y",
+      "ĠS alt",
+      "hes s",
+      "Ġrecogn ised",
+      "M arch",
+      "ed e",
+      "z es",
+      "Ġt et",
+      "ĠI oT",
+      "Ġper severance",
+      "Ġel astic",
+      "Ġtrag ic",
+      "ĠE ffective",
+      "Ġt err",
+      "Ġsusp ended",
+      "Ġc ake",
+      "Ġtal ented",
+      "Ġfrust ration",
+      "Ġint imate",
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+      "acter ia",
+      ". (",
+      "Ġst igma",
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+      "av al",
+      "Ġp ocket",
+      "es ar",
+      "Ġsc ans",
+      "Ġrelax ed",
+      "ĠU ntil",
+      "ĠUs ed",
+      "Ġ iv",
+      "Ġun lock",
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+      "Ġselect ive",
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+      "v able",
+      "ier ra",
+      "Ġfriends hips",
+      "Ġastron omers",
+      "Ġis ot",
+      "Ġauthor ized",
+      "ĠUnder stand",
+      "ĠE ating",
+      "Ġmon aster",
+      "L D",
+      "Ġw re",
+      "S V",
+      "off s",
+      "Ġex agger",
+      "Ġen ric",
+      "ĠG ospel",
+      "ĠBe yond",
+      "unt ime",
+      "ĠVen us",
+      "M c",
+      "ĠB eng",
+      "Ġinf rared",
+      "Ġli ability",
+      "Ġfl aw",
+      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
+      "Ġab ortion",
+      "que ue",
+      "Ġqu oted",
+      "Ġh iring",
+      "Ġt urtles",
+      "Ġl ady",
+      "ĠS ounds",
+      "Ġal kal",
+      "f ed",
+      "Ġprol if",
+      "Ġden y",
+      "Ġcycl ing",
+      "Ġgall ons",
+      "è ¯",
+      "Ġnew er",
+      "ĠImport ance",
+      "as ers",
+      "EN D",
+      "ĠF inn",
+      "ĠAn imals",
+      "Ġmunicip al",
+      "Ġdemand ed",
+      "ĠMain e",
+      "v m",
+      "Ġfor um",
+      "c ross",
+      "ĠS ave",
+      "Ġex cer",
+      "Ġarm ies",
+      "it ives",
+      "Ġsn acks",
+      "ĠSqu are",
+      "pe red",
+      "de code",
+      "] ):",
+      "ĠArab ia",
+      "Ġdies el",
+      "Ġsupp liers",
+      "cret ion",
+      "S ol",
+      "Lay out",
+      "Ġd olph",
+      "cl oud",
+      "ours es",
+      "Ġsubject ive",
+      "pl er",
+      "Ġsculpt ure",
+      "th ree",
+      "ceed ings",
+      "D oc",
+      "ot ine",
+      "Ġbe aches",
+      "Ġbase ball",
+      "Ġgastro intestinal",
+      "ar b",
+      "Ġseiz ures",
+      "x a",
+      "å IJ",
+      "art z",
+      "Ġprof iciency",
+      "Ġfle e",
+      "D ig",
+      "ty p",
+      "Ġqual itative",
+      "Ġadmin ister",
+      "V er",
+      "Ġchromos ome",
+      "ed it",
+      "Ġan ts",
+      "Ġfil ament",
+      "Ġg ad",
+      "Ġd ir",
+      "Ġlaw yers",
+      "e ff",
+      "ĠExpl ain",
+      "Ġlight ning",
+      "Ġintric acies",
+      "ch at",
+      "Ġide als",
+      "ĠHig her",
+      "Ġclim b",
+      "Ġbu nd",
+      "Ġide ology",
+      "Ġintest ine",
+      "p ad",
+      "Ġtherap ists",
+      "P H",
+      "Ġthe ology",
+      "Ġs ql",
+      "ĠConnect icut",
+      "Ġ ĊĠĠĠ",
+      "Ġult rasound",
+      "Ġhyp ot",
+      "Ġsuper natural",
+      "Ġas leep",
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+      "es ian",
+      "Ġmembr anes",
+      "Ġass ass",
+      "Ġp ile",
+      "Ġcorrespond s",
+      "process ing",
+      "ira cy",
+      "ĠFa ith",
+      "Ġsqu ir",
+      "ĠEx press",
+      "ĠMic hel",
+      "lu g",
+      "Ġup ward",
+      "Ġun re",
+      "Ġfest ivals",
+      "raul ic",
+      "In it",
+      "F ound",
+      "p ulumi",
+      "Ġbus h",
+      "t ry",
+      "Ġseg regation",
+      "Ġax es",
+      "img ur",
+      "E duc",
+      "L L",
+      "g it",
+      "Ġmaster y",
+      "Ġcomp ress",
+      "Ġbul let",
+      "Ġpric ing",
+      "s a",
+      "Ġsal vation",
+      "Ġwaste water",
+      "g ments",
+      "Ġw and",
+      "Ġcent res",
+      "Ġl ion",
+      "Ġbe verages",
+      "ĠAn na",
+      "Ġstimul us",
+      "Ġacid ic",
+      "Ġf ox",
+      "Ġg amma",
+      "ĠSat urn",
+      "#! /",
+      "m g",
+      "ĠE R",
+      "Ġar row",
+      "Ġreson ate",
+      "enc ode",
+      "Ġsolid arity",
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+      "duct or",
+      "m u",
+      "empt y",
+      "Ġpar king",
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+      "le ans",
+      "ĠB lu",
+      "Ġcur sor",
+      "ĠL ank",
+      "ĠSt alin",
+      "sy mb",
+      "b ies",
+      "Ġaut h",
+      "is co",
+      "ĠBas in",
+      "Ð ²",
+      "Ġdet er",
+      "ĠCom plex",
+      "Ã ¦",
+      "Ġcomment ary",
+      "Ġd ye",
+      "ĠSk in",
+      "Ġpix el",
+      "N E",
+      "Ġequ als",
+      "im ore",
+      "Ġtra ils",
+      "Ġrel iance",
+      "Ġtour ist",
+      "ĠE at",
+      "LO G",
+      "Ġcred its",
+      "ĠSt ring",
+      "Ġport rait",
+      "Ar ray",
+      "Ġcomp ly",
+      "ĠExt ension",
+      "Ġ' \\",
+      "Ġcreat ors",
+      "Ġcompet ence",
+      "Ġsubstr ate",
+      "Ġfol iage",
+      "T itle",
+      "Ġnation wide",
+      "hand le",
+      "Ġc ables",
+      "Ġcan vas",
+      "ĠG ram",
+      "sm all",
+      "Ġmitig ation",
+      "Ġun conscious",
+      "Ġlay ing",
+      "Ġadjust ment",
+      "Ġharv ested",
+      "Ġrespect ful",
+      "Ġtast es",
+      "* ,",
+      "ĊĊ Ċ",
+      "pro g",
+      "Ġastron omy",
+      "ant ry",
+      "Ġ' --",
+      "rag on",
+      "Ġcerv ical",
+      "C V",
+      "Ġcivil ian",
+      "+ '",
+      "F eb",
+      "Ġbelie ving",
+      "Ġcr ises",
+      "Ġlast s",
+      "Ġun e",
+      "A ction",
+      "Ġansw ering",
+      "cel and",
+      "Ġguarant eed",
+      "ॠį",
+      "Ġbl ocking",
+      "ring e",
+      "Ġd irty",
+      "ĠConn ection",
+      "Ġprejud ice",
+      "Ġsex ually",
+      "Ġdivor ce",
+      "Ġtr unk",
+      "Ġabnormal ities",
+      "D ist",
+      "Ġph yl",
+      "flow er",
+      "Ġgra zing",
+      "Ġgl oves",
+      "******** ********",
+      "Ġm u",
+      "Ġsh ower",
+      "Ġcompar isons",
+      "ĠE M",
+      "Ġc argo",
+      "Ġreconst ruction",
+      "Ġdes erve",
+      "ol en",
+      "ell ers",
+      "Ġre plic",
+      "Ġassemb led",
+      "Ġd ynasty",
+      "Ġ( $",
+      "ĠOlymp ic",
+      "Ġ' <",
+      "% ),",
+      "ĠSe qu",
+      "Ġe arning",
+      "ĠG ender",
+      "ĠMult iple",
+      "ge vity",
+      "AR E",
+      "Q t",
+      "op ard",
+      "Ġstress ful",
+      "ĠRel igion",
+      "ou stic",
+      "Ġcor rupt",
+      "T E",
+      "ĠSyd ney",
+      "def ined",
+      "Ġdef icit",
+      "Ġn ights",
+      "it ated",
+      "ĠF le",
+      "Ġfather s",
+      "ĠT a",
+      "ĠH ell",
+      "Ġtable t",
+      "p resent",
+      "Ġact ed",
+      "mans hip",
+      "Ġsp rou",
+      "Ġatt raction",
+      "ĠIdent ity",
+      "P ATH",
+      "Ġbul b",
+      "kl ore",
+      "ĠPol ice",
+      "em on",
+      "bl ue",
+      "Ġkn ock",
+      "read ing",
+      "pat ient",
+      "ĠT R",
+      "Ġpar ish",
+      "Ġthink ers",
+      "Ġliqu ids",
+      "Ġr ash",
+      "ĠT ODO",
+      "we g",
+      "Ġrem n",
+      "Ġpal ace",
+      "Ġprem ium",
+      "ĠB arn",
+      "ev ol",
+      "Ġformer ly",
+      "Ġs ie",
+      "Ġlim b",
+      "ĠAlex and",
+      "L P",
+      "ĠD er",
+      "Ġbr ighter",
+      "ĠInf lu",
+      "ĠApp ly",
+      "Ġassum es",
+      "w alk",
+      "ĠCh air",
+      "assert True",
+      "en ium",
+      "ĠL ic",
+      "Ġdec ides",
+      "Ġret reat",
+      "Ġmind set",
+      "ĠO klahoma",
+      "Ġaw esome",
+      "Ġk ick",
+      "Ġminor ities",
+      "Ġpass enger",
+      "Ġimper ative",
+      "ĠBab ylon",
+      "ĠJ oe",
+      "Ġprospect ive",
+      "ur u",
+      "ĠL oc",
+      "Ġpat ron",
+      "ĠMarg aret",
+      "Ġsc ra",
+      "Ġreward ing",
+      "c ards",
+      "ĠW in",
+      "ĠN ile",
+      "Ġluck y",
+      "Ġped est",
+      "Ġtransc end",
+      "ĠH az",
+      "ĠMem bers",
+      "Ġaest hetics",
+      "ut o",
+      "ri ans",
+      "ĠWal ter",
+      "Ġstrong est",
+      "M s",
+      "O ff",
+      "li ver",
+      "ĠN uclear",
+      "Ġprevent ive",
+      "Ġunf ortunately",
+      "d type",
+      "Ġger ms",
+      "Ġrend ered",
+      "ĠIm plement",
+      "Ġdecl ining",
+      "count ry",
+      "lim it",
+      "ous ing",
+      "Ġexplo it",
+      "z i",
+      "Ġt ense",
+      "Ġball oon",
+      "Ġspot ted",
+      "Ġl ips",
+      "Ġinstall ing",
+      "Î ¼",
+      "ĠSt ructure",
+      "ĠPro per",
+      "ĠDougl as",
+      "opor osis",
+      "C ross",
+      "Ġcol oring",
+      "Ġclean ed",
+      "u pper",
+      "Ġjump ing",
+      "Ġex clusion",
+      "Ġgre ens",
+      "Ġlik ed",
+      "ĠMag azine",
+      "com a",
+      "Ġfun c",
+      "Ġcompos itions",
+      "ĠCh anges",
+      "Ġmin istry",
+      "? ?",
+      "o os",
+      "Ġc in",
+      "est ial",
+      "ĠS audi",
+      "ĠPro duction",
+      "ĠGet ting",
+      "Ġas bestos",
+      "Ġconv ince",
+      "Ġinterpre ting",
+      "fam ily",
+      "ĠTh ailand",
+      "Th ree",
+      "ĠProg rams",
+      "Further more",
+      "ĠHe at",
+      "Ġethnic ity",
+      "Ġsl ip",
+      "ĠB os",
+      "Ġreview ing",
+      "h alf",
+      "ve ctor",
+      "static method",
+      "ch anged",
+      "Ġab oard",
+      "Ġj e",
+      "Ġinter disciplinary",
+      "ci ously",
+      "Be ing",
+      "Z E",
+      "Ġpot s",
+      "Ġdescript ive",
+      "Ġsc ary",
+      "s ky",
+      "Ġle uk",
+      "ĠPlan et",
+      "ĠB or",
+      "Ġdef ensive",
+      "ĠFl ore",
+      "A pril",
+      "C ong",
+      "Ġunderstand s",
+      "Ġaccident ally",
+      "ä º",
+      "ĠPar ks",
+      "Â ½",
+      "Ã ł",
+      "ĠF oot",
+      "Ġprodu cer",
+      "Ġf right",
+      "ou ble",
+      "ĠR ot",
+      "ri ors",
+      "Ġen roll",
+      "ĠLe v",
+      "Ġreflect ive",
+      "agon al",
+      "ĠNap ole",
+      "Ġinn ocent",
+      "ĠPh arm",
+      "edi ence",
+      "ĠD ead",
+      "Ġbl ade",
+      "ang a",
+      "ĠExper iment",
+      "h n",
+      "ĠS H",
+      "Ġkn ife",
+      "Ġsan itation",
+      "ĠDat abase",
+      "Ġmet icul",
+      "Ġfif teen",
+      "ĠO k",
+      "ans k",
+      "Ġra cing",
+      "Ġspark ed",
+      "ĠB rig",
+      "Ġd urable",
+      "ĠCh annel",
+      "ĠE ye",
+      "Ġref lex",
+      "Ġconver ting",
+      "f i",
+      "Ġp ound",
+      "\" ].",
+      "ĠĠĠĠĠĠĠĠ ĠĠ",
+      "ĠM RI",
+      "Ġunder neath",
+      "az ines",
+      "ĠFreder ick",
+      "ra its",
+      "Ġceremon ies",
+      "acter ial",
+      "ly wood",
+      "Ġs ocket",
+      "Ġad here",
+      "Ġpere nn",
+      "Ġperform s",
+      "Ġgas oline",
+      "ĠO ak",
+      "Ġback up",
+      "Ġmot ors",
+      "Ġauthentic ity",
+      "us age",
+      "ĠAp ache",
+      "Ġprohib ited",
+      "Ġaccompany ing",
+      "Ġd orm",
+      "Per haps",
+      "Ġsw ift",
+      "ĠPre pare",
+      "Ġd awn",
+      "Ġwe ed",
+      "ĠO ri",
+      "Ġsmart phones",
+      "Ġadequ ately",
+      "Ġpadd ing",
+      "v ideo",
+      "Se pt",
+      "ĠB ishop",
+      "ram es",
+      "Ad ditionally",
+      "is l",
+      "Ġh ired",
+      "Th ink",
+      "ec hes",
+      "Ġsurprising ly",
+      "ĠR F",
+      "ç Ķ",
+      "Ġemb arr",
+      "Ġred irect",
+      "oth y",
+      "est ones",
+      "Ġp ays",
+      "c op",
+      "Ġre use",
+      "ĠL ive",
+      "ĠS S",
+      "ĠB rand",
+      "Ġinf est",
+      "ĠEmer gency",
+      "ĠPh oto",
+      "Ġsimilar ity",
+      "Ġ ----------",
+      "im eters",
+      "Ġsub mar",
+      "h um",
+      "Ġfl ip",
+      "app lication",
+      "on i",
+      "the ta",
+      "it o",
+      "ch anging",
+      "Ġdel ays",
+      "Ġur inary",
+      "ĠReg ister",
+      "ve c",
+      "ir i",
+      "ag h",
+      "ĠEd itor",
+      "Ġs ins",
+      "Ġreef s",
+      "at en",
+      "id ated",
+      "Ġinf erior",
+      "head s",
+      "ĠWe ight",
+      "Ġviol ation",
+      "oc ene",
+      "Ġdep ths",
+      "re r",
+      "j e",
+      "Cons ider",
+      "Ġexch anges",
+      "ro d",
+      "Ġdef orestation",
+      "ĠCol omb",
+      "P ort",
+      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "ĠSaf e",
+      "D av",
+      "w ed",
+      "Ġment ions",
+      "Ġcelebr ations",
+      "exist ing",
+      "Ġveter ans",
+      "ĠSol omon",
+      "iqu ity",
+      "cul osis",
+      "Ġund oubtedly",
+      "Ġterm inology",
+      "ul us",
+      "Ñ ı",
+      "Ġens l",
+      "ĠL O",
+      "Ġdis charg",
+      "Ġco operative",
+      "Ġanticip ated",
+      "Ġbo iling",
+      "ĠD ict",
+      "Ġinj ust",
+      "Ġhob by",
+      "R T",
+      "Ġo un",
+      "ĠR ange",
+      "ax on",
+      "az y",
+      "qu estions",
+      "Ġtric ks",
+      "ĠG M",
+      "ĠB ron",
+      "ĠMc G",
+      "Ġmer ge",
+      "ru le",
+      "Ġref use",
+      "ĠSol utions",
+      "Ġprev ailing",
+      "Ġapp ar",
+      "ĠCol umn",
+      "O h",
+      "Ġt mp",
+      "ĠD akota",
+      "A ust",
+      "Ġp i",
+      "Ġcommission ed",
+      "Ġancest ral",
+      "is ure",
+      "ĠT her",
+      "ĠBi ological",
+      "tra ck",
+      "W ork",
+      "Ġd aughters",
+      "ĠD ental",
+      "p ine",
+      "Ġsp ill",
+      "Ġfart her",
+      "IV E",
+      "Ġciv ic",
+      "ĠVis it",
+      "Ġdepos it",
+      "Ġstro kes",
+      "Ġsh r",
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+      "Th anks",
+      "Ġd ur",
+      "oth ic",
+      "Ġpass words",
+      "atur ated",
+      "ad ers",
+      "Ġbroad ly",
+      "ĠMan ufact",
+      "Ġswe at",
+      "Ġaccel eration",
+      "Ġclim ates",
+      "Ġsim plicity",
+      "S te",
+      "Ġap ost",
+      "Ġcryst all",
+      "ir ts",
+      "Ġpract ically",
+      "Ex per",
+      "Ġten ure",
+      "G P",
+      "ĠM un",
+      "Ġtext books",
+      "ĠCit iz",
+      "Ġdev iation",
+      "ĠT oo",
+      "ct ica",
+      "Ġcogn ition",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "ĠR A",
+      "Ġstress es",
+      "Ġimp art",
+      "Ġbutter flies",
+      "Ġse ism",
+      "Ġad ject",
+      "Ġher bal",
+      "ĠExpl ore",
+      "Ġcannab is",
+      "Ġright eous",
+      "Ġpil grim",
+      "ĠAntar ctic",
+      "p rom",
+      "Ġtra it",
+      "ĠWorks he",
+      "čĊ čĊč",
+      "Ġattend ance",
+      "Ġneed ing",
+      "Ġrebell ion",
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+      "ij uana",
+      "ep rint",
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+      "Ġr if",
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+      "er ion",
+      "Ġge ological",
+      "ĠÂ ±",
+      "ĠExpl oration",
+      "ĠBro ther",
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+      "Ġprospect s",
+      "s ocial",
+      "Ġdecor ative",
+      "l ie",
+      "ĠK u",
+      "Ġdispro portion",
+      "ĠUn less",
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+      "thon y",
+      "Ġweaken ed",
+      "Ġrec ess",
+      "Ġnon profit",
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+      "Ġtr illion",
+      "pro perties",
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+      "Cont rol",
+      "reg n",
+      "ĠCom prehens",
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+      "ĠW olf",
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+      "ah o",
+      "ĠD ra",
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+      "ĠWe ather",
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+      "ĠG ib",
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+      "Ġscar ce",
+      "Ġt une",
+      "Ġbelie vers",
+      "ĠArgent ina",
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+      "f requency",
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+      "Ġcyl inder",
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+      "Ġspect acular",
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+      "ĠP TSD",
+      "om nia",
+      "ĠProg ress",
+      "Ġstew ardship",
+      "er vers",
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+      "Ġirrit ation",
+      "ĠNum Py",
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+      "Ġhead quarters",
+      "Ġimp ly",
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+      "ĠV I",
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+      "Ġlog in",
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+      "ĠPro ceedings",
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+      "ĠM R",
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+      "Ġcrypt ocur",
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+      "er red",
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+      "Ġsevent h",
+      "work ers",
+      "Ġconst ell",
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+      "b ecause",
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+      "ĠDo ctor",
+      "Ġpul p",
+      "Ġfisher ies",
+      "? !",
+      "Ġexp on",
+      "R ad",
+      "Ġp ools",
+      "Out put",
+      "s erv",
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+      "ĠAp ollo",
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+      "ĠProgram me",
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+      "Ġempower ment",
+      "ograph ics",
+      "Ġlon gevity",
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+      "Ġsign ing",
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+      "iv ated",
+      "ple ted",
+      "Ġpsych ologists",
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+      "Ġd ip",
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+      "mit t",
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+      "Ġen rolled",
+      "- %",
+      "Ġt ide",
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+      "ĠGu inea",
+      "Ġcommerc ially",
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+      "udden ly",
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+      "I H",
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+      "ĠCr ime",
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+      "Ġmar ry",
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+      "ĠMc K",
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+      "plet ion",
+      "Ġc ens",
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+      "Ġcolon ization",
+      "Ġmag azines",
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+      "Ġantib ody",
+      "Ġphosph orus",
+      "U I",
+      "Ġh ook",
+      "ĠC as",
+      "Ġfin ite",
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+      "se ctions",
+      "ediat rics",
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+      "Ġsp awn",
+      "neg ative",
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+      "f c",
+      "Ġaster oid",
+      "w atch",
+      "Ġeth n",
+      "ĠEval uation",
+      "Ġcivil ians",
+      "ij ing",
+      "Ġan th",
+      "Ġsn ipp",
+      "Ph one",
+      "Ġinherit ance",
+      "ĠI F",
+      "ĠSe attle",
+      "Ġrhyth ms",
+      "Ġpurch ases",
+      "Ġdef ence",
+      "Ġinv iting",
+      "Ġdetect or",
+      "Ġed ible",
+      "Ġs aves",
+      "Ġdecl aration",
+      "Ġaer ial",
+      "spe aking",
+      "ĠV ision",
+      "Ġex terior",
+      "Ġcle ans",
+      "ĠCP U",
+      "t hens",
+      "Ġs isters",
+      "Ġn esting",
+      "ĠP ick",
+      "Ġmanuscript s",
+      "ot or",
+      "Ġ[ [",
+      "Ġamph ib",
+      "Ġcontin ents",
+      "est yles",
+      "Ġver bs",
+      "ĠStrateg y",
+      "Ġsub set",
+      "Ġcra cks",
+      "Ġdestro ying",
+      "qu er",
+      "Ġfront ier",
+      "Ġcrit ique",
+      "ĠLike wise",
+      "Ġbub bles",
+      "Comm and",
+      "id ating",
+      "Ġpro sec",
+      "o i",
+      "Ġstick y",
+      "isp ens",
+      "het ical",
+      "Ġfe ast",
+      "st orage",
+      "it at",
+      "Ġdifferent iation",
+      "f erence",
+      "Ġauto immune",
+      "anc ers",
+      "resp ons",
+      "Ġb ites",
+      "ĠPalest inian",
+      "################################ ################################",
+      "ĠAgain st",
+      "ixt y",
+      "ast ype",
+      "ĠExper ience",
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+      "Ġparas ite",
+      "Ġc iting",
+      "Ġdepos ited",
+      "Ġflo ors",
+      "ĠN am",
+      "Bl ock",
+      "pl ication",
+      "ĠCl inton",
+      "Ï Ĥ",
+      "col ors",
+      "Ġeth anol",
+      "deg ree",
+      "Ġsm iled",
+      "Wh ite",
+      "ĠL A",
+      "Ġpanc reat",
+      "Ġin expensive",
+      "ĠY ang",
+      "Ġstreng thens",
+      "Ġlifes pan",
+      "Ġen ergies",
+      "o ic",
+      "Ġdig its",
+      "Ġvacc inated",
+      "Inst ead",
+      "Ġgen ius",
+      "Ġn ails",
+      "Ġclin ics",
+      "ĠSupp ose",
+      "ä ½",
+      "Ġth irst",
+      "car bon",
+      "Ġcar rots",
+      "Ġinhab ited",
+      "Ġhorm onal",
+      "ĠA th",
+      "Ġunit test",
+      "m un",
+      "am ount",
+      "ĠPrinc eton",
+      "lic ted",
+      "ĠHud son",
+      "m ess",
+      "Ġsy rup",
+      "ĠAl an",
+      "Ġuns ure",
+      "Ġp ic",
+      "Ġsystem atically",
+      "Wind ow",
+      "a ic",
+      "Ġengine ered",
+      "ĠTe ach",
+      "Ġste pping",
+      "ĠT ower",
+      "uss els",
+      "Ġdehyd ration",
+      "Ġmotif s",
+      "c over",
+      "Ġlight ly",
+      "ĠBapt ist",
+      "Ġn ail",
+      "Ġcont ag",
+      "add r",
+      "valid ate",
+      "g reat",
+      "Ġatt ent",
+      "čĊ čĊ",
+      "Ġendeav ors",
+      "ĠSil ver",
+      "ĠT el",
+      "Ġing en",
+      "Ġrab bits",
+      "ĠD escription",
+      "Ġwin ner",
+      "Ġbip olar",
+      "Ġl oses",
+      "O H",
+      "Ġg rie",
+      "Ġad renal",
+      "ara oh",
+      "Ġbl ades",
+      "ion e",
+      "Ġnever theless",
+      "Ġre nal",
+      "Al most",
+      "ĠIll ust",
+      "Ġobsc ure",
+      "ogene ous",
+      "Ġprob able",
+      "Ġpurs ued",
+      "Ġco herent",
+      "ĠPr iv",
+      "Ï Ģ",
+      "ĠArt icles",
+      "ĠT ip",
+      "ĠRail road",
+      "Ġl ubric",
+      "B s",
+      "ĠSub st",
+      "Ġactiv ist",
+      "Ġproport ional",
+      "Ġcig arette",
+      "ĠD iversity",
+      "pect ion",
+      "Ġpot tery",
+      "Ġhor ror",
+      "ĠSub ject",
+      "Ġcle ared",
+      "Ġneg lected",
+      "Des ign",
+      "Ġnational ism",
+      "h ou",
+      "Pub lished",
+      "Ġw ard",
+      "Ġwork out",
+      "Ġrepe ating",
+      "Ġconfident ly",
+      "Ġdece ased",
+      "f ten",
+      "ĠMor gan",
+      "ü r",
+      "e an",
+      "ĠLank a",
+      "P rim",
+      "Ġsew age",
+      "Ġcompet ent",
+      "ĠJu an",
+      "Ġcorpor ation",
+      "Ġ[ -",
+      "Ġevalu ations",
+      "ĠJ os",
+      "Ġbel ly",
+      "Ġsuscept ibility",
+      "Ġkey words",
+      "iv ial",
+      "Ï ĥ",
+      "n u",
+      "å Ń",
+      "Im port",
+      "Ġblo oms",
+      "ĠCath olics",
+      "R ight",
+      "Ġenact ed",
+      "Ġh inder",
+      "Ġsw ing",
+      "Ġcommand ed",
+      "S pace",
+      "Ġdep osition",
+      "ĠA le",
+      "Ġcommit tees",
+      "Ġemp owers",
+      "Ġrat ings",
+      "Ġlat itude",
+      "aware ness",
+      "Ġenl arg",
+      "Ġmat rices",
+      "Ġintention ally",
+      "Ġmas cul",
+      "Ġenerget ic",
+      "Ġcont ing",
+      "Ch ina",
+      "Ġe lic",
+      "Ġshad ows",
+      "Ġart illery",
+      "gr ass",
+      "Ġsh aft",
+      "Ġplay ground",
+      "ĠLiter acy",
+      "ĠProcess ing",
+      "om ething",
+      "ĠNev ada",
+      "as ury",
+      "im ag",
+      "Ġexpos ures",
+      "r b",
+      "N G",
+      "ĠZ one",
+      "ĠAt hens",
+      "Ġg i",
+      "Ġqu eries",
+      "ed a",
+      "ĠUN ESCO",
+      "Ġrecogn ise",
+      "Ġb arg",
+      "ĠY ale",
+      "g el",
+      "Ġsens ations",
+      "ĠMor ris",
+      "ĠT itan",
+      "r ise",
+      "Ġsh ades",
+      "Ġmar row",
+      "an ning",
+      "Ġdown ward",
+      "Ġbrain storm",
+      "Ġ Å",
+      "Ġproject ions",
+      "ĠOver all",
+      "Ġcred entials",
+      "N ET",
+      "Ġcaut ious",
+      "D D",
+      "e very",
+      "Ġhand les",
+      "ĠSet ting",
+      "Ġportray ed",
+      "ĠJoh ann",
+      "per cent",
+      "Ġsad ness",
+      "ck ed",
+      "represent ed",
+      "Ġdecent ral",
+      "ĠSt reng",
+      "pat hetic",
+      "Ġdi ary",
+      "Ġdi abetic",
+      "Ġdro pping",
+      "Ġfertil izers",
+      "ĠRand om",
+      "ĠE lements",
+      "Ġbl ur",
+      "k ernel",
+      "ĠB ry",
+      "ĠE gg",
+      "Ġco zy",
+      "ĠAd ult",
+      "Ġur ge",
+      "Ġwork flow",
+      "bl og",
+      "Ġreg imes",
+      "Ġsal iva",
+      "bl ank",
+      "Ġrich ness",
+      "Ġgall ery",
+      "č ĊĠĠĠĠĠĠĠĠ",
+      "Ġspir al",
+      "Ġfrust rated",
+      "M al",
+      "Ġtra dem",
+      "ĠCan al",
+      "ĠProv ince",
+      "le af",
+      "Ġlabor atories",
+      "on ian",
+      "Man ager",
+      "p hen",
+      "â ķ",
+      "ĠB eth",
+      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "Ġglac iers",
+      "V AL",
+      "Ġmid st",
+      "Ġdig ging",
+      "âĢ¦ âĢ¦",
+      "ref erence",
+      "Ġc ad",
+      "qu ant",
+      "Ġrespond s",
+      "se cret",
+      "Ġp ork",
+      "Ġneg lig",
+      "of ten",
+      "Ġquick er",
+      "top ic",
+      "ch t",
+      "ap hy",
+      "bs ite",
+      "Ġh tml",
+      "Ġignor ance",
+      "b earing",
+      "Ġm arsh",
+      "ĠAct s",
+      "effic ients",
+      "ĠJour ney",
+      "ĠJ osh",
+      "it ous",
+      "al ion",
+      "ĠSt atus",
+      "ĠD im",
+      "Ġbu zz",
+      "Ġrect angular",
+      "Ġfol klore",
+      "Ġver ification",
+      "L Y",
+      "ĠCle ar",
+      "elect ric",
+      "ĠN ag",
+      "int end",
+      "Ġgu y",
+      "gen eral",
+      "Ġf ence",
+      "Ġb aked",
+      "ĠEgypt ians",
+      "Ġmart ial",
+      "ĠGe ographic",
+      "Ġjuris dict",
+      "Ġceram ic",
+      "ĠC BD",
+      "ex c",
+      "Ġhop efully",
+      "bour ne",
+      "Ġout ward",
+      "Ġhad n",
+      "Ġco il",
+      "ĠCre ation",
+      "ĠBe ijing",
+      "Ġmenstru al",
+      "Ġgu ys",
+      "Ġrep airs",
+      "Ġdel ving",
+      "Ġdis crete",
+      "Ġfle w",
+      "Ġlim itation",
+      "ĠC row",
+      "ĠM B",
+      "Ġbehavi ours",
+      "ĠD ynasty",
+      "ens ation",
+      "own ed",
+      "ĠNot ice",
+      "ĠIdent ifying",
+      "ĠD ream",
+      "a verage",
+      "p ent",
+      "ain ted",
+      "ĠH R",
+      "Ġind ul",
+      "Ġtrans gender",
+      "Ġsk learn",
+      "Ġdimin ished",
+      "bet ween",
+      "Ġst ats",
+      "Ġgl ad",
+      "be y",
+      "ĠPr ivate",
+      "Ġjournal ist",
+      "Ġfro gs",
+      "__ \":",
+      "Ph ot",
+      "Ġcur ved",
+      "Ġph il",
+      "ĠPh oen",
+      "Ġcham bers",
+      "ren ces",
+      "Ġsouth west",
+      "Ġlegend ary",
+      "Ġwor ries",
+      "Ġstim ulating",
+      "ic ion",
+      "h icle",
+      "ic he",
+      "res ources",
+      "ĠPh ill",
+      "Ġabol ition",
+      "re search",
+      "Ġobs erver",
+      "ĠOrgan ic",
+      "N orth",
+      "ĠC anyon",
+      "ĠEth ics",
+      "ĠColl ins",
+      "f uel",
+      "Ġbe ads",
+      "ract ice",
+      "Ġsen iors",
+      "Ġdefic iencies",
+      "á ¸",
+      "Ġl ively",
+      "ĠI l",
+      "ĠP ages",
+      "As k",
+      "ĠOffic er",
+      "T ree",
+      "ĠM ol",
+      "Ġcontribut ors",
+      "Ġsearc hes",
+      "Ġoff shore",
+      "ext ract",
+      "ĠInd ependent",
+      "Ġmass age",
+      "train ed",
+      "cc oli",
+      "ĠL aur",
+      "m esh",
+      "t k",
+      "level and",
+      "ĠAnton io",
+      "ĠM aj",
+      "Ġmonit ors",
+      "Ġexpend iture",
+      "la very",
+      "aunt ing",
+      "ĠD ial",
+      "ĠDis covery",
+      "ĠByz antine",
+      "Ġbl oss",
+      "ĠRe form",
+      "Ġ% (",
+      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
+      "v oc",
+      "Ġexpect ation",
+      "Ġveter inary",
+      "Ġbicy cle",
+      "C am",
+      "ev ents",
+      "Ġast on",
+      "Ġtransc ription",
+      "Ġdelib erate",
+      "Ġpredict ive",
+      "Ġsent iment",
+      "p end",
+      "ĠIS O",
+      "Ġbub ble",
+      "ess ert",
+      "Ġev id",
+      "Ġsub process",
+      "Ġbes ide",
+      "Ġl id",
+      "Ġl ap",
+      "cre as",
+      "Ġdro ve",
+      "ĠU g",
+      "Ġdom inate",
+      "Ġsal ad",
+      "Ġprin ters",
+      "ad ow",
+      "ĠLe ban",
+      "Ġcatch ing",
+      "pol y",
+      "Ġm ating",
+      "Ġwh oles",
+      "ĠW at",
+      "Ġbl ast",
+      "Ġfasc inated",
+      "Ġbright ness",
+      "I OS",
+      "he it",
+      "Ġf onts",
+      "Ġass ured",
+      "ĠC ele",
+      "author ized",
+      "ĠRe covery",
+      "ĠOper ations",
+      "p b",
+      "Ġexpect ancy",
+      "ĠP O",
+      "Ġserv ant",
+      "Ġpain ts",
+      "ĠGo als",
+      "ĠH erm",
+      "Ġpossess ed",
+      "Log ger",
+      "Ġnorth west",
+      "ĠP as",
+      "ĠZ ion",
+      "Ġanticip ate",
+      "Ġprest igious",
+      "over ty",
+      "With in",
+      "ĠCa uses",
+      "ãĢ Ĥ",
+      "ĠE sc",
+      "Ġactiv ate",
+      "Go vern",
+      "ĠB orn",
+      "ĠTo kyo",
+      "Ġdisadvant age",
+      "w ear",
+      "Ġf ame",
+      "Intern ational",
+      "u ci",
+      "Ġrot ate",
+      "K S",
+      "g rowing",
+      "t own",
+      "Ġcarbohyd rate",
+      "ĠWalk er",
+      "ĠM aterial",
+      "ĠInst itutes",
+      "Ġattack ing",
+      "Ġeld ers",
+      "Ġprolif eration",
+      "j s",
+      "ĠRe comm",
+      "Ġnotice able",
+      "Ġe g",
+      "Ġvoy age",
+      "ĠHe y",
+      "Ġdesk top",
+      "Ġank le",
+      "ĠT ow",
+      "ĠRuss ell",
+      "j oint",
+      "Ġl av",
+      ".. .\"",
+      "Ġout lets",
+      "Ġox idation",
+      "Ġs age",
+      "Ġ\" %",
+      "Ġconqu est",
+      "ĠL iver",
+      "et erm",
+      "] *",
+      "Ġdwar f",
+      "Ġacc red",
+      "Ġgra ding",
+      "Ġrecur ring",
+      "H C",
+      "Ġa ux",
+      "Ġlegisl ature",
+      "Ġy arn",
+      "ac ious",
+      "Ġgen ocide",
+      "__ _",
+      "li ance",
+      "Ġsatisf ying",
+      "ĠAbs ol",
+      "Â ²",
+      "clip se",
+      "opath ic",
+      "ĠS ize",
+      "te chn",
+      "rim p",
+      "Ġtoler ate",
+      "omm y",
+      "ard i",
+      "ĠClass room",
+      "ĠGh ana",
+      "ĠSt ra",
+      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ",
+      "M ac",
+      "ĠE ve",
+      "Ġhum id",
+      "Ex ec",
+      "am y",
+      "Ġfac ets",
+      "EN SE",
+      "' \\",
+      "d ates",
+      "Ġspons ored",
+      "Ġra y",
+      "Ġder ive",
+      "b ath",
+      "spec ial",
+      "ĠS urgery",
+      "Writ e",
+      "Ġinst itute",
+      "att ribute",
+      "B ey",
+      "Ġh ipp",
+      "oun cing",
+      "Ġpred ecess",
+      "Con f",
+      "il is",
+      "Ġord ering",
+      "ĠB ear",
+      "De cember",
+      "Ġphotos ynthesis",
+      "int age",
+      "D M",
+      "Ġsh rink",
+      "Ġharm less",
+      "âĢĿ ).",
+      "Ġapart ment",
+      "n els",
+      "} .",
+      "Ġo t",
+      "ĠE pid",
+      "Ġide ological",
+      "ht aking",
+      "Ġmig rate",
+      "Ġmon keys",
+      "Ġbus es",
+      "Ġp ier",
+      "col lect",
+      "Ġdiplom atic",
+      "Ġt sun",
+      "ist ence",
+      "Ġan omal",
+      "Ġprivile ges",
+      "D esc",
+      "p aste",
+      "Ġstret ched",
+      ": \\",
+      "U ST",
+      "ats on",
+      "ol on",
+      "Ġdem ol",
+      "let ion",
+      "coh olic",
+      "Ġnic otine",
+      "F IG",
+      "ot onin",
+      "pl ess",
+      "Ġsh ine",
+      "aut hors",
+      "ĠPl ot",
+      "Ġcustom ized",
+      "v ings",
+      "Ġdr astically",
+      "pos itions",
+      "ĠAut o",
+      "Ġseam lessly",
+      "ĠO liver",
+      "P eer",
+      "Ġstr angers",
+      "Ġfil t",
+      "Ġal mond",
+      "ĠCong o",
+      "' {",
+      "ĠB E",
+      "Ġdis able",
+      "re pr",
+      "L ow",
+      "Ġem ploys",
+      "Ġra pe",
+      "Ġtransform s",
+      "Ġcapac ities",
+      "Ġmand ate",
+      "ot ions",
+      "Ġel uc",
+      "ext end",
+      "ĠF inal",
+      "Ġpe ppers",
+      "Ġseed lings",
+      "Ġpubl ishers",
+      "Ġst ub",
+      "Ġbo om",
+      "Ġj ar",
+      "other mal",
+      "Un ited",
+      "Ġreconc iliation",
+      "ĠM olecular",
+      "c ert",
+      "Ġcon ceived",
+      "Ġman ure",
+      "Ġlo os",
+      "Ġmer cy",
+      "ib ling",
+      "ĠNorm an",
+      "In formation",
+      "Ġdur ability",
+      "FIL E",
+      "Ġde eds",
+      "sy n",
+      "Ġmini ature",
+      "Ġcf g",
+      "Ð ´",
+      "en um",
+      "Ġterror ism",
+      "Ġsh out",
+      "ĠL yn",
+      "ĠPhot os",
+      "ĠAdd ressing",
+      "Ġran king",
+      "Ġcyber security",
+      "Ġreal ization",
+      "Ġap nea",
+      "Ġmarg ins",
+      "Ġrevers ed",
+      "en able",
+      "Ġret ina",
+      "Ġcur ricula",
+      "Ġguarant ees",
+      "Ġn ost",
+      "ĠE T",
+      "Ġgra vel",
+      "Ġcompl aint",
+      "Ġrock y",
+      "Ġsin us",
+      "Ġgradu ated",
+      "Ġsem icon",
+      "Ġparad ox",
+      "Ġt iles",
+      "Ġb oring",
+      "ĠGal ile",
+      "ĠAust in",
+      "C le",
+      "b rain",
+      "Ġc emetery",
+      "Ġe ch",
+      "** .",
+      "Ġur anium",
+      "Ġd rones",
+      "ĠK ath",
+      "wid get",
+      "Ġwh it",
+      "Ġl acks",
+      "Ġfin ances",
+      "ĠMor oc",
+      "Jan uary",
+      "> ',",
+      "Ġur ged",
+      "Ġcop ied",
+      "Ġmain land",
+      "Ġyear ly",
+      "ene z",
+      "Ġment or",
+      "go ogle",
+      "ĠSpe ech",
+      "T reatment",
+      "Ġspe eches",
+      "W est",
+      "Ġlight weight",
+      "UT H",
+      "Ġoste oporosis",
+      "I AL",
+      "output s",
+      "t ool",
+      "Ġdef ending",
+      "Con v",
+      "exp and",
+      "Ġj ury",
+      "Ġac ne",
+      "Ġfore most",
+      "ĠM ike",
+      "Ġadolesc ence",
+      "f ocus",
+      "ĠP el",
+      "Ġcr ushed",
+      "Ġemerg es",
+      "Ġconfig urations",
+      "des ign",
+      "Ġbreat htaking",
+      "Int erest",
+      "iz ard",
+      "ple ts",
+      "D ue",
+      "n ative",
+      "A ir",
+      "S em",
+      "and o",
+      "Ġnegot iate",
+      "ĠR ules",
+      "names e",
+      "ĠM obile",
+      "Ġby pass",
+      "ĠHum ans",
+      "Ġseam less",
+      "Ġdiscre p",
+      "ĠCh and",
+      "ĠHigh way",
+      "Ġamb ient",
+      "not es",
+      "Ġtransf ers",
+      "Ġprof itable",
+      "Ġc ant",
+      "ic ine",
+      "Ġres h",
+      "Ġher d",
+      "Ġpersonal ities",
+      "Ġcompens ate",
+      "P AS",
+      "> .",
+      "en abled",
+      "ĠInterest ingly",
+      "(\" /",
+      "ĠIn side",
+      "ern s",
+      "Ġmicrow ave",
+      "Ġlength y",
+      "elesc ope",
+      "âĸĪ âĸĪ",
+      "Ġcapital ist",
+      "é t",
+      "Ġcle arer",
+      "a ire",
+      "her ing",
+      "Ġpe pt",
+      "() [",
+      "Ġexcell ence",
+      "Ġrein forcement",
+      "ĠLuc y",
+      "ac ulture",
+      "ĠB irds",
+      "V ar",
+      "pie ces",
+      "ĠNav al",
+      "ĠCa esar",
+      "ĠPh ase",
+      "Im ple",
+      "ĠWAR RAN",
+      "els ius",
+      "Ġmal icious",
+      "Ġlow ered",
+      "ĠEr n",
+      "l ined",
+      "to k",
+      "oot ing",
+      "eli very",
+      "Ġaccommod ation",
+      "( \\",
+      "Ġfort un",
+      "ix on",
+      "Ġge ology",
+      "Post ed",
+      "Ġincent ive",
+      "comp et",
+      "ĠJ ay",
+      "Ġl ined",
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+      "ie u",
+      "Ġmet aph",
+      "Ġlif ted",
+      "al is",
+      "ĠS eg",
+      "Ġint olerance",
+      "Ġdisturb ing",
+      "Ġtables p",
+      "estab lished",
+      "m ag",
+      "Ġt ennis",
+      "Ġin accur",
+      "Ġsal ts",
+      "pl ain",
+      "ens on",
+      "Ġvis ions",
+      "Ġbank rupt",
+      "ĠPro ced",
+      "anc ouver",
+      "ĠRepublic ans",
+      "gener ational",
+      "Dav id",
+      "Ġst ark",
+      "ĠParticip ants",
+      "Ġs ailing",
+      "Ġpossess ions",
+      "Ġancest ry",
+      "Ġcontag ious",
+      "Ġlocal ized",
+      "with in",
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+      "Ġvag inal",
+      "Ġst urdy",
+      "Ġintrodu ctory",
+      "b egin",
+      "ĠCl ose",
+      "Ġaer os",
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+      "ari us",
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+      "M ix",
+      "P Y",
+      "Ġst arch",
+      "Ġgood ness",
+      "Ġs aints",
+      "Ġembod ied",
+      "Ġenlarg ed",
+      "el ed",
+      "ero ids",
+      "ĠÃ ¢",
+      "ĠF ew",
+      "Ġsuff ers",
+      "Ġadministr ator",
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+      "Ġcaus al",
+      "Ġdev ote",
+      "ok en",
+      "Ġfor age",
+      "Te chn",
+      "Ġexplos ive",
+      "Ġk iss",
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+      "ĠC F",
+      "ĠG un",
+      "Ġfl aws",
+      "Ġexpect ing",
+      "ung le",
+      "Î º",
+      "Ġd ances",
+      "Ġsh oe",
+      "Ġenc oded",
+      "dim s",
+      "Ġstiff ness",
+      "B ra",
+      "ĠP rem",
+      "Ġn ectar",
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+      "Ġport raits",
+      "ĠIsrael ites",
+      "Ġphysic ist",
+      "ic ans",
+      "Ġmet ast",
+      "ĠSee ing",
+      "Ġsel dom",
+      "Ġw art",
+      "Ġser otonin",
+      "ev in",
+      "Ġinstruct ed",
+      "ĠCov id",
+      "al one",
+      "app ro",
+      "hib ition",
+      "Ġhot els",
+      "ĠS ARS",
+      "Ġcommun ist",
+      "ophy ll",
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+      "r atory",
+      "Ġeconom ists",
+      "Ġant agon",
+      "Ġlog istics",
+      "Ġcoll agen",
+      "ĠPl ains",
+      "D raw",
+      "` :",
+      "Ġinv aluable",
+      "Ġcrow ds",
+      "Ġlip id",
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+      "sign al",
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+      "l ived",
+      "symb ol",
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+      "ĠM att",
+      "Ġd welling",
+      "ĠCh ick",
+      "Ġborrow ed",
+      "ĠF ill",
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+      "Ġ: ,",
+      "ĠSchol ars",
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+      "Ġcell ul",
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+      "ath s",
+      "Ġprint able",
+      "ĠV ers",
+      "Ġbo asts",
+      "Ġmess aging",
+      "Ġin aug",
+      "ĠN ut",
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+      "ĠAr g",
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+      "sk ip",
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+      "ĠH ost",
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+      "Ġhect ares",
+      "Ġimm ort",
+      "Ġplant ation",
+      "Ġvic inity",
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+      "Ġaer obic",
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+      "Ġover load",
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+      "Ġfulfill ment",
+      "associ ated",
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+      "Ġastron omical",
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+      "Ġrod ents",
+      "Ġbrows ing",
+      "Ġm apped",
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+      "ie ce",
+      "fl ight",
+      "pri or",
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+      "Ġaud it",
+      "Ar gument",
+      "ĠFl ood",
+      "Ġautom otive",
+      "SI ZE",
+      "L ondon",
+      "Ġs ap",
+      "ĠN ord",
+      "Ġgen ital",
+      "Ġfulf illed",
+      "Ġm aker",
+      "ĠT es",
+      "ĠN ick",
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+      "in atory",
+      "se conds",
+      "Ġtun ed",
+      "ĠCorn ell",
+      "W ord",
+      "ĠS ugar",
+      "ĠM ine",
+      "ĠAr c",
+      "Ġcr an",
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+      "ilit ating",
+      "Ġfix ing",
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+      "he id",
+      "def inition",
+      "Ġsort ing",
+      "In valid",
+      "develop ed",
+      "Ġmerg ed",
+      "Ġban ana",
+      "Ġfinger print",
+      "Ġjurisdict ions",
+      "Ġm oss",
+      "Ġp ause",
+      "Ġmen ing",
+      "Ġcere al",
+      "Ġj elly",
+      "Ġa z",
+      "Ġswe pt",
+      "ĠRail way",
+      "Ġb ounds",
+      "Ġperform ers",
+      "o ffic",
+      "ver bs",
+      "Ġnews letter",
+      "Ġbattle field",
+      "Ġco oper",
+      "method s",
+      "Ġdesign ation",
+      "us k",
+      "ke eper",
+      "Ġpo orer",
+      "ĠQu ick",
+      "On line",
+      "Ġpion eers",
+      ") ])",
+      "P ORT",
+      "ĠT ol",
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+      "uss ions",
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+      "Ġvig orous",
+      "L im",
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+      "el ia",
+      "ĠT rain",
+      "ric ting",
+      "ĠWar ren",
+      "Ġcons on",
+      "ĠZ oo",
+      "Ġr ipe",
+      "Ġbar ley",
+      "Ġgene alog",
+      "Ġmar riages",
+      "ĠAssoci ate",
+      "ĠR oll",
+      "Ð ¿",
+      "Ġs ulph",
+      "Ġex ceeds",
+      "Ġfl ask",
+      "Ġdisc arded",
+      "EL L",
+      "Ġign oring",
+      "ĠDel aware",
+      "ĠScand inav",
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+      "ab i",
+      "An swer",
+      "ver ted",
+      "ĠDynam ic",
+      "Ġpr ince",
+      "Ġpenet rate",
+      "c orn",
+      "rosc opy",
+      "Ġre n",
+      "Ġ\" _",
+      "Ġro s",
+      "vari ables",
+      "M iss",
+      "Ġc ath",
+      "ĠC ou",
+      "N T",
+      "Ġz oo",
+      "ĠOpportun ities",
+      "ĠOut put",
+      "n uts",
+      "ov ol",
+      "Ġcolon ists",
+      "L ead",
+      "Ġc asc",
+      "Ġde generation",
+      "ĠL ORD",
+      "() ),",
+      "ĠSh an",
+      "č ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "pect ives",
+      "Ġresol ving",
+      "Ġsurge ons",
+      "ab ad",
+      "Ġfam ine",
+      "Ġsu ite",
+      "ĠCount ries",
+      "Ġcoll apsed",
+      "cir c",
+      "i ably",
+      "D em",
+      "Ġenl arge",
+      "u pt",
+      "ĠF ahrenheit",
+      "Ġey el",
+      "---------------- --------",
+      "Ġfig ured",
+      "ĠCle arly",
+      "Ġb ilingual",
+      "ur ved",
+      "Ġhas attr",
+      "Ġexplo ited",
+      "Ġs aint",
+      "ĠN H",
+      "P aul",
+      "Ġhe ir",
+      "ĠF ern",
+      "ĠF L",
+      "ĠR ound",
+      "Ġcertific ates",
+      "Ġslow ing",
+      "au coma",
+      "Ġsens it",
+      "at om",
+      "ĠCon duct",
+      "ĠNet works",
+      "d ouble",
+      "l ag",
+      "× Ļ",
+      "iv an",
+      "ĠG R",
+      "Ġmarket place",
+      "Ġ> >",
+      "al ph",
+      "ure rs",
+      "Ġfire f",
+      "Ġassist ants",
+      "Ġg reed",
+      "Ġin comes",
+      "Ġremind ing",
+      "serv ices",
+      "/ (",
+      "Ġj unk",
+      "z ema",
+      "c red",
+      "ĠH app",
+      "Ġcol der",
+      "ĠCl ay",
+      "Ġlack ed",
+      "ĠForm ation",
+      "ĠHam ps",
+      "Ġly rics",
+      "determ ination",
+      "mess ages",
+      "Ġf ighters",
+      "Ġco res",
+      "ĠRog er",
+      "m c",
+      "Ġp ains",
+      "Ġupd ating",
+      "Ġrefrig erator",
+      "Ġit eration",
+      "Ġident ifier",
+      "Ġintern ally",
+      "Ġimbal ances",
+      "ĠP ediatrics",
+      "Ġunderm ine",
+      "Ġconstitu ents",
+      "ops is",
+      "Ġfreed oms",
+      "oc ular",
+      "Ġdoub ts",
+      "C ustom",
+      "Ġp unch",
+      "Ġpast ure",
+      "ĠL ect",
+      "Res ults",
+      "Re view",
+      "ĠM essage",
+      "Ġneuro science",
+      "ĠStart ing",
+      "Ġattract ing",
+      "R ange",
+      "S elf",
+      "zz y",
+      "ĠGreg ory",
+      "Ġup grade",
+      "ann ers",
+      "T w",
+      "on ies",
+      "ĠTibet an",
+      "S ession",
+      "Ġel ong",
+      "Ġn atives",
+      "id i",
+      "ĠLine ar",
+      "E p",
+      "er obic",
+      "Ġlo vers",
+      "Ġst amps",
+      "Ġpoison ous",
+      "ĠHamps hire",
+      "d ish",
+      "Ġreact ors",
+      "Ġtun nels",
+      "o am",
+      "Ġc aste",
+      "AR Y",
+      "ĠChild hood",
+      "M eta",
+      "ĠK os",
+      "Ġcar pet",
+      "bal ance",
+      "Ġtur key",
+      "Ġhat red",
+      "Ġoxid ative",
+      "op ping",
+      "ĠSt orage",
+      "Ġcollabor ations",
+      "Ġm ould",
+      "Ġform ulated",
+      "Ġsign atures",
+      "cur ities",
+      "Ġdeb ts",
+      "ĠV III",
+      "Ġang ular",
+      "Ġin hal",
+      "ĠV enez",
+      "Ġd ome",
+      "ab we",
+      "Ġden otes",
+      "LO C",
+      "ĠBul gar",
+      "ĠHawai ian",
+      "Ġharmon ious",
+      "du ino",
+      "Ġform ulation",
+      "por a",
+      "Ġproud ly",
+      "bul lying",
+      "U K",
+      "Ġf ighter",
+      "ĠS ample",
+      "ipp le",
+      "Ġlear nt",
+      "Ġsh rimp",
+      "ĠBul let",
+      "U ntil",
+      "ĠL ock",
+      "ific ate",
+      "ĠVen ice",
+      "Ġimm ersion",
+      "Ġsw ollen",
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+      "at um",
+      "Ġappe als",
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+      "il ated",
+      "Ġhe ater",
+      "St at",
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+      "Ġen j",
+      "Ġend ure",
+      "inter val",
+      "Ġsel enium",
+      "L ight",
+      "Ġd s",
+      "ĠE ff",
+      "ult an",
+      "ĠAd ults",
+      "ĠRe ason",
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+      "g ia",
+      "Ġt am",
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+      "N R",
+      "ah l",
+      "rop he",
+      "Ġul cer",
+      "ĠC roat",
+      "Ġle v",
+      "Ġirre levant",
+      "p oll",
+      "lic enses",
+      "ĠBut ter",
+      "ĠRuss ians",
+      "ĠHol lywood",
+      "ry s",
+      "Ġmin isters",
+      "ounc ils",
+      "Ġmul ch",
+      "\" \\",
+      "Ġbra ke",
+      "Ġun expl",
+      "arth ritis",
+      "Ġz o",
+      "Ġfig ur",
+      "ĠAtl as",
+      "ĠCub an",
+      "Ġimpul se",
+      "Ġinter cept",
+      "D om",
+      "ĠT rees",
+      "Ġteen age",
+      "valid ation",
+      "Current ly",
+      "ĠS L",
+      "Stud ies",
+      "ĠBern ard",
+      "im ates",
+      "ĠS ed",
+      "n ik",
+      "Ġg on",
+      "Ġch airs",
+      "Ġsp ike",
+      "Ġcy an",
+      "p ages",
+      "Ġal arming",
+      "ĠK an",
+      "ĠCham ber",
+      "gener ator",
+      "ĠP I",
+      "ĠSouth west",
+      "izz iness",
+      "ĠPro tein",
+      "Ġalb um",
+      "Ġide ally",
+      "ĠMel bourne",
+      "Diff erent",
+      "Ġc uc",
+      "Ġvir gin",
+      "ĠLab our",
+      "Ġp oured",
+      "Ġr heumat",
+      "mod ules",
+      "Ġlic ensing",
+      "i our",
+      "ĠA id",
+      "ĠUs ers",
+      "Ġattract ions",
+      "uss ia",
+      "ĠB P",
+      "Ġsc ent",
+      "Ġin effective",
+      "ĠW atson",
+      "ĠCh amp",
+      "ĠV A",
+      "Ġamb ition",
+      "Ġhack ers",
+      "Ã ´",
+      "Ġexp ands",
+      "Ġsett ling",
+      "âĶĢâĶĢ âĶĢâĶĢ",
+      "T erm",
+      "f alse",
+      "Ġelectro des",
+      "% (",
+      "n atal",
+      "\") ;",
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+      "Ġhe el",
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+      "ĠAss y",
+      "! [",
+      "am orph",
+      "ĠB us",
+      "ef ined",
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+      "o j",
+      "Ġfam ilial",
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+      "d al",
+      "ĠI CT",
+      "ĠPat ri",
+      "win ning",
+      "Ġscre w",
+      "ĠQu arter",
+      "Ġteen ager",
+      "Imple mented",
+      "Ġillum inate",
+      "b order",
+      "Ġsuppl ier",
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+      "IC AL",
+      "sens itive",
+      "idel ity",
+      "end ix",
+      "ĠImpro ve",
+      "ĠRap id",
+      "ĠC ow",
+      "Ġdis reg",
+      "ĠGe ography",
+      "Ġmiss ile",
+      "Ġsanct uary",
+      "Ġsp heres",
+      "Ġprogress es",
+      "ĠMod els",
+      "ĠProgram ming",
+      "Ġwater ways",
+      "Ġins ign",
+      "anc ell",
+      "ĠNe ither",
+      "= {}",
+      "Ġe go",
+      "ĠJ ama",
+      "no ise",
+      "Ġmathematic ians",
+      "ĠR oot",
+      "Ġsp ores",
+      "Ġlog o",
+      "T EST",
+      "Ġwor sh",
+      "Ġinf ilt",
+      "Ġinter change",
+      "anc ipation",
+      "Ġmeas les",
+      "Ù ħ",
+      "B est",
+      "] ).",
+      "Ġbe verage",
+      "ĠG I",
+      "Ġclass ify",
+      "iss ors",
+      "Ġaltern ating",
+      "Ġblank et",
+      "Ġenvelop e",
+      "Ġgrapp ling",
+      "ar re",
+      "and y",
+      "ĠAn xiety",
+      "Ġmaster piece",
+      "ĠTam il",
+      "R ober",
+      "Ġl ord",
+      "Ġg aze",
+      "ah u",
+      "th alm",
+      "Ġb un",
+      "Ġl asers",
+      "Ġcr ater",
+      "Ġdiamond s",
+      "N ING",
+      "w ig",
+      "Ã Ĥ",
+      "ai ro",
+      "h l",
+      "ĠPo etry",
+      "act ivation",
+      "ĠIn vent",
+      "ĠV II",
+      "Ġgen omic",
+      "ost ics",
+      "ĠSt re",
+      "Ġ[ (",
+      "Ġsie ge",
+      "in clude",
+      "Ġnation ally",
+      "Ġstimul ates",
+      "ĠR ural",
+      "Ġ-- -",
+      "Ġcoll isions",
+      "Ġassim ilation",
+      "ic iary",
+      "Ġi i",
+      "ĠEd inburgh",
+      "Ġcentral ized",
+      "ĠGovern ments",
+      "D iv",
+      "ol o",
+      "Ġcool ed",
+      "Ġgenu inely",
+      "ĠNG Os",
+      "Ġmis use",
+      "ĠAc cept",
+      "Ġdisc ourag",
+      "Ġv ague",
+      "ĠRes olution",
+      "ust rial",
+      "Ġsp ends",
+      "Ġaddition ally",
+      "} \".",
+      "---- --",
+      "E ffective",
+      "Ġw x",
+      "ĠDirect ions",
+      "ĠForm at",
+      "g rown",
+      "ar us",
+      "ty m",
+      "Ġ_ ,",
+      "irm ingham",
+      "Pl ace",
+      "ĠPear l",
+      "ĠUg anda",
+      "è ¡",
+      "Ġadd itives",
+      "Ġroof s",
+      "Ġov arian",
+      "ig uous",
+      "ows ki",
+      "Ġutil izes",
+      "ĠF oster",
+      "ĠDe al",
+      "F ast",
+      "Ġco op",
+      "Ġstring ent",
+      "Ġm urd",
+      "Ġse ab",
+      "ĠU T",
+      "Ġbi ologist",
+      "Ġgest ure",
+      ", )",
+      "Ġb rit",
+      "rel ation",
+      "Ġcontribut or",
+      "ĠFil m",
+      "ĠPl atform",
+      "Ġd t",
+      "Ġhome owners",
+      "Ġinsist ed",
+      "G O",
+      "M uch",
+      "in ars",
+      "Ġgram mat",
+      "M AP",
+      "Ġw itch",
+      "ĠChurch ill",
+      "Ã ¸",
+      "ĠA chie",
+      "Ġle aks",
+      "ĠG O",
+      "Ġcal f",
+      "Ġsun set",
+      "Ġleaf y",
+      "L at",
+      "a que",
+      "à ¦",
+      "Ġno ises",
+      "Ġshel ters",
+      "iod iversity",
+      "ĠMon te",
+      "Step s",
+      "Ġsupposed ly",
+      "Ġs ibling",
+      "Ġhur ricanes",
+      "Ġenj oys",
+      "Ġd read",
+      "Ġor bits",
+      "Ġab rupt",
+      "ĠConst ruct",
+      "Ġanthrop ology",
+      "Spec ial",
+      "k w",
+      "k ward",
+      "er ators",
+      "Ġestab lishes",
+      "cont act",
+      "Ġcapt ive",
+      "Ġcong regation",
+      "Ġoptim istic",
+      "Ġexhaust ed",
+      "Ġfet us",
+      "Ġrac ist",
+      "Ġvig or",
+      "Ġcreat ively",
+      "comput e",
+      "Ġpean ut",
+      "ĠImplement ing",
+      "g om",
+      "me al",
+      "ĠAL L",
+      "Ġcat he",
+      "Ġextract s",
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+      "ĠLeban on",
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+      "m ol",
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+      "oun sel",
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+      "d og",
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+      "ĠN y",
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+      "Ġe uro",
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+      "ES C",
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+      "Ġauthors hip",
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+      "ĠCor inth",
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+      "Ġmodel ed",
+      "orith m",
+      "ĠCN N",
+      "de ad",
+      "Ġsh ocking",
+      "AT CH",
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+      "Ġskeptic ism",
+      "Ġen closure",
+      "Ġforest ry",
+      "ĠMod ule",
+      "ĠCharl otte",
+      "Jew ish",
+      "Ġm s",
+      "ĠZ imbabwe",
+      "Ġunus ually",
+      "Ġbapt ism",
+      "R oman",
+      "requ ent",
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+      "m ight",
+      "ĠP ant",
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+      "an aly",
+      "ĠF riend",
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+      "Ġher pes",
+      "Ġcam araderie",
+      "Ġperv asive",
+      "É Ļ",
+      "or atory",
+      "Ġatt ribut",
+      "ĠDisc over",
+      "Ġnurt ure",
+      "Sum mary",
+      "P ot",
+      "ĠL ost",
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+      "ore ct",
+      "ace a",
+      "ath a",
+      "ĠBl oom",
+      "Ġpolyn omial",
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+      "id ad",
+      "ĠT as",
+      "Ġinter rog",
+      "g un",
+      "an ation",
+      "Ġpen insula",
+      "Ġcust ody",
+      "Ġp enn",
+      "Ġb red",
+      "est on",
+      "Ġdisrupt ions",
+      "ath on",
+      "Ġpul s",
+      "H en",
+      "Ġpredict s",
+      "Pl ant",
+      "LO W",
+      "Ġtur moil",
+      "Ġclean up",
+      "ĠSal v",
+      "OL D",
+      "Ġprotagon ists",
+      "Ġit ching",
+      "Ġadd itive",
+      "Ġlit igation",
+      "ĠBut ton",
+      "Ġexerc ised",
+      "Ġt s",
+      "ract ed",
+      "Ġresp iration",
+      "Ġske ptical",
+      "Def ault",
+      "Ġdiction aries",
+      "ĠDiff icult",
+      "Ġbiom edical",
+      "Ġrev ival",
+      "Ġneur on",
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+      "Hist or",
+      "Ġdisagree ment",
+      "ĠFac ulty",
+      "ĠLibr aries",
+      "Ġp als",
+      "ĠB ert",
+      "Ġoptim ized",
+      "ĠAir port",
+      "Â ´",
+      "Ġst ove",
+      "Ġexhib itions",
+      "Ġcong reg",
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+      "Ġnoun s",
+      "Recent ly",
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+      "or p",
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+      "Ġgast ric",
+      "C y",
+      "ĠSt uart",
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+      "J esus",
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+      "ĠD ow",
+      "ĠSh i",
+      "IC S",
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+      "D ele",
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+      "Ġens ured",
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+      "sc al",
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+      "ĠM W",
+      "_ .",
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+      "ĠBullet in",
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+      "Ġconfig ured",
+      "Ġrect angle",
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+      "ĠS I",
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+      "Ġun changed",
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+      "ir uses",
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+      "ĠA TP",
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+      "Ġir rational",
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+      "ĠTre asury",
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+      "Ġqu ar",
+      "ĠTra ffic",
+      "Ġmig ratory",
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+      "ï¿ ½",
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+      "Ġor phan",
+      "ĠN ar",
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+      "Ġconsp iracy",
+      "Doc ument",
+      "ĠC AD",
+      "Ġcur rencies",
+      "ĠPe oples",
+      "ĠWW II",
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+      "Ġst airs",
+      "Ġcal ibr",
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+      "or um",
+      "Ġthem atic",
+      "Ġ: ]",
+      "ĠApp roximately",
+      "Ġprofound ly",
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+      "m ot",
+      "ĠM ining",
+      "ĠM amm",
+      "int ensity",
+      "Ġproceed ed",
+      "Ġles bian",
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+      "ĠM erc",
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+      "Ġco erc",
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+      "Ġsustain ing",
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+      "ĠIn come",
+      "b rand",
+      "Ġt ribut",
+      "Ġg n",
+      "ĠC ome",
+      "Ġwind ing",
+      "Ġtrig gering",
+      "ĠCarl os",
+      "ĠNAT O",
+      "Ġp ushes",
+      "L I",
+      "Ġl ane",
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+      "Ġsand wich",
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+      "so ever",
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+      "Ġpol ished",
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+      "pe ak",
+      "Ġnot ify",
+      "Ġcons ciously",
+      "Ġir rad",
+      "Ġpregn ancies",
+      "Ġbas ins",
+      "ĠHen ri",
+      "ĠCheroke e",
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+      "ind a",
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+      "Ġreb el",
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+      "ĠP rag",
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+      "os omal",
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+      "ĠG ross",
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+      "ĠF lex",
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+      "Ġshut il",
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+      "ĠS oc",
+      "ĠD allas",
+      "Ġpat rons",
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+      "Ġdrag ons",
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+      "ĠAtt ribution",
+      "Ġuncertain ties",
+      "Ġsulf ate",
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+      "c hemical",
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+      "li able",
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+      "ĠInf ection",
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+      "loc ations",
+      "Ġpal ms",
+      "agg ering",
+      "c ook",
+      "ĠA ffect",
+      "Ġpl aster",
+      "ĠRob in",
+      "ĠNorm ally",
+      "Ġcounter act",
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+      "T ip",
+      "Ġreal ms",
+      "ush ima",
+      "Ġrepe ats",
+      "N ative",
+      "Ġwith drawn",
+      "Ġmic ron",
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+      "Ġmust ard",
+      "Â º",
+      "ĠSm oking",
+      "Ġgly c",
+      "re verse",
+      "ĠSec ure",
+      "Ġcrafts manship",
+      "R ole",
+      "com ings",
+      "Ġlands l",
+      "Ġtur f",
+      "Ġpermit ting",
+      "ĠPrin cess",
+      "Ġf p",
+      "Ġdis g",
+      "ph alt",
+      "ĠCur iosity",
+      "Ġreb uilding",
+      "Ġnob ility",
+      "Ġprejud ices",
+      "Ġpor celain",
+      "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
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+      "Ġspecial izes",
+      "Ġur llib",
+      "epoch s",
+      "L i",
+      "ĠA gg",
+      "ĠC CS",
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+      "n r",
+      "ĠP T",
+      "ons ored",
+      "Ġdep uty",
+      "Ġant ig",
+      "Ġsuper visors",
+      "Ġreve red",
+      "Ġst am",
+      "Ġup rising",
+      "Ġown ing",
+      "Ġrefer ral",
+      "Mem ory",
+      "Ġloos ely",
+      "names pace",
+      "Val id",
+      "ĠObject ive",
+      "ĠRon ald",
+      "ut a",
+      "Ġchild birth",
+      "app s",
+      "w ashing",
+      "ĠH ugh",
+      "Mix in",
+      "N ature",
+      "{ \\",
+      "at to",
+      "ĠR are",
+      "Ġchar itable",
+      "Ġenc ro",
+      "uck le",
+      "Can ada",
+      "Ġsau ces",
+      "Ġh ots",
+      "ĠT ak",
+      "Ġim merse",
+      "** ,",
+      "Ġche ating",
+      "ĠEx odus",
+      "Ġp orous",
+      "oc ative",
+      "IC EF",
+      "Ġwest ward",
+      "Ġcraw l",
+      "Ġj am",
+      "Ġins criptions",
+      "ĠPresident ial",
+      "Char les",
+      "ĠEns uring",
+      "Ġdis sect",
+      "Ġten ets",
+      "rec ords",
+      "Ġmol ten",
+      "Ġfellows hip",
+      "ĠPray er",
+      "ĠB R",
+      "Ġfost ered",
+      "Ġbud ding",
+      "Ġtall er",
+      "Ġtoile ts",
+      "Ġm aid",
+      "ĠP ries",
+      "Mus lim",
+      "ĠO ECD",
+      "ish able",
+      "Ġdom in",
+      "dat asets",
+      "Su ccess",
+      "ĠS ense",
+      "ĠGod dess",
+      "Ġacqu aint",
+      "ĠCor rect",
+      "Ġimmers ed",
+      "d oes",
+      "im show",
+      "Ġsp am",
+      "ĠK B",
+      "Ġair flow",
+      "ĠI DE",
+      "Ġper tains",
+      "Ġgra v",
+      "Ġsupplement al",
+      "allow ed",
+      "ĠComp onents",
+      "Ġa ided",
+      "Ġo ath",
+      "Ġh ues",
+      "ĠAl ger",
+      "Ġbr ushes",
+      "Ġib n",
+      "ĠCONDIT IONS",
+      "Ġs i",
+      "ĠG ust",
+      "] |",
+      "as us",
+      "ĠM all",
+      "Ġpr isons",
+      "M ES",
+      "Ġex cluding",
+      "ab ling",
+      "ac illus",
+      "ĠB O",
+      "pos ite",
+      "Ġtransform er",
+      "Ġreward ed",
+      "Ben efits",
+      "á ½",
+      "arn er",
+      "Ġboost er",
+      "Ġnick name",
+      "L eft",
+      "et z",
+      "ĠO UT",
+      "Ġcons erved",
+      "H i",
+      "n ament",
+      "Ġch in",
+      "by te",
+      "ĠMon ument",
+      "Com par",
+      "ĠCap itol",
+      "Ġalgebra ic",
+      "it ian",
+      "ĠIn clude",
+      "Ġfarm land",
+      "osph ate",
+      "Ġtow els",
+      "ĠPalest inians",
+      "ĠYellow stone",
+      "Ġn emat",
+      "Ġdis close",
+      "Ġcircumst ance",
+      "Americ a",
+      "Ġsyll ables",
+      "M ex",
+      "ar ist",
+      "end point",
+      "ĠGra duate",
+      "Ġvent ures",
+      "Me et",
+      "direct ed",
+      "Ġrefres hing",
+      "and el",
+      "ass y",
+      "ĠV es",
+      "ety l",
+      "ĠPC B",
+      "Ġillum inating",
+      "ing ling",
+      "ĠM M",
+      "ĠF ant",
+      "Ġdr ums",
+      "Ġcy sts",
+      "ĠBl ake",
+      "ĠDr ink",
+      "Ġm ixtures",
+      "Ġsp elled",
+      "ĊĊ ĊĠĠĠĠĠĠĠ",
+      "Ġshare holders",
+      "V ector",
+      "Ġqu art",
+      "ĠLead ers",
+      "an ism",
+      "Ġant it",
+      "Ġfront al",
+      "Ġw iki",
+      "Ġdec olon",
+      "Ġvisual s",
+      "ĠCollect ions",
+      "G al",
+      "p ipe",
+      "y rin",
+      "Ġsmo other",
+      ") ')",
+      "E mail",
+      "F inding",
+      "ĠM old",
+      "Ġcohes ive",
+      "ĠGen ome",
+      "Ġmanif ested",
+      "Ġsuspect s",
+      "Cal cul",
+      "Ġrefine ment",
+      "Ġst ray",
+      "() ):",
+      "access ible",
+      "ĠTheod ore",
+      "lins pace",
+      "ra ines",
+      "ĠM ira",
+      "fl oor",
+      "Ġdra fting",
+      "Ġc uring",
+      "ar ate",
+      "ak ening",
+      "Ġrad ically",
+      "Ċĉĉ ĉĉĉĉĉĉĉĉ",
+      "X iv",
+      "Ġencounter ing",
+      "ugg ed",
+      "act ively",
+      "inc inn",
+      "Ġseaw ater",
+      "asg ow",
+      "d ry",
+      "um bs",
+      "up dated",
+      "Ġdesc ending",
+      "Ġeconom ist",
+      "Ġterm ination",
+      "Ġlab orers",
+      "ĠFr an",
+      "Ġn ested",
+      "Ġg rit",
+      "Ġhe n",
+      "Ġart ific",
+      "Ġtransc ends",
+      "Ġneat ly",
+      "Ġcanon ical",
+      "o ing",
+      "Ġmor b",
+      "Ġdys lexia",
+      "ä¸ ª",
+      "Ġdispar ity",
+      "ul ing",
+      "Ġperm iss",
+      "ĠDom ain",
+      "ĠDiagn osis",
+      "Ġplate au",
+      "ĠNeuro science",
+      "are rs",
+      "ĠTra ck",
+      "ose ph",
+      "Param eters",
+      "Ġutter ly",
+      "Ġpat ented",
+      "Ġl ice",
+      "Pre vious",
+      "Ġtract s",
+      "n em",
+      "Ġu m",
+      "Ġpatri ot",
+      "ĠGab riel",
+      "j ug",
+      "Ġharm onic",
+      "Ġhalf way",
+      "Ġb ake",
+      "om p",
+      "Ġmed iated",
+      "Ġassoci ates",
+      "Ġscript ures",
+      "ĠAdvent ure",
+      "ĠKrish na",
+      "m arg",
+      "Ġu gly",
+      "ĠCra ig",
+      "P erson",
+      "å °",
+      "Ġd aring",
+      "st aff",
+      "Ġse ize",
+      "ĠNeg ative",
+      "Ġavoc ado",
+      "ĠApp endix",
+      "Ġfresh ly",
+      "Ġcatast rophe",
+      "Ġrefere nd",
+      "Ġsp ells",
+      "oph one",
+      "run ner",
+      "F ar",
+      "os in",
+      "ĠW ald",
+      "ĠRw anda",
+      "Ġj umps",
+      "Ġresist or",
+      "Ġmountain ous",
+      "ĠCh ang",
+      "Pro b",
+      "Ġbureau c",
+      "Ġs ine",
+      "pl aced",
+      "ठ¿",
+      "G F",
+      "G erm",
+      "ac l",
+      "ib an",
+      "Ġj ars",
+      "In v",
+      "param et",
+      "Ġfamiliar ize",
+      "ĠBAS IS",
+      "ver ter",
+      "per haps",
+      "Ġrenew ables",
+      "ĠInflu ence",
+      "S en",
+      "it eration",
+      "Ġconsum es",
+      "ĠMus cle",
+      "ĠFe eling",
+      "Ġc ue",
+      "Ġbl ends",
+      "ox ins",
+      "Ġmand ated",
+      "os ome",
+      "hold ing",
+      "Ġarr anging",
+      "Ar thur",
+      "ĠProcess es",
+      "ERS ION",
+      ".. .,",
+      "let ters",
+      "ĠEmp ower",
+      "ĠE fficiency",
+      "Ġdis position",
+      "ron ts",
+      "Ġg enders",
+      "ra peutic",
+      "th inking",
+      "ac lass",
+      "Ġturn over",
+      "ĠSac red",
+      "M ill",
+      "W D",
+      "Ã ¥",
+      "Ġr anc",
+      "Ġanat omical",
+      "w ire",
+      "ĠC ul",
+      "Ġrel iably",
+      "Ġam en",
+      "ends with",
+      "Ġk ale",
+      "Ġread able",
+      "gu ided",
+      "ĠF ul",
+      "may be",
+      "Ġt ilt",
+      "Ġor anges",
+      "ĠSt ars",
+      "Ġiniti ating",
+      "Ġling ering",
+      "uc aly",
+      "Ġobject ion",
+      "assert Is",
+      "Ġintros pection",
+      "ĠC arr",
+      "ph oto",
+      "Ġdiff use",
+      "Ġdep iction",
+      "ch ip",
+      "Ġst ing",
+      "ĠS ax",
+      "ac ic",
+      "ĠKe pler",
+      "AB ILITY",
+      "Ġintim idating",
+      "Ġsuperhero es",
+      "Ġaccred ited",
+      "Ġthe at",
+      "Ġav ian",
+      "isc her",
+      "ĠAtt orney",
+      "ĠMun ich",
+      "ipel ago",
+      "ĠO ste",
+      "Ġsem inars",
+      "flat ten",
+      "âĹ ı",
+      "b red",
+      "b ows",
+      "ĠC openhagen",
+      "res a",
+      "Ġever green",
+      "Ġpron ouns",
+      "Ġech oes",
+      "ĠI an",
+      "Ġpro secution",
+      "ĠH aven",
+      "Ġauthor ization",
+      "Ġterm inals",
+      "Ġpoly g",
+      "Ġartif act",
+      "Ġadhes ion",
+      "C RE",
+      "ĠP ediatric",
+      "tra umatic",
+      "ĠC BT",
+      "ash a",
+      "ĠPl at",
+      "Ġdiscipl inary",
+      "Ġalter ation",
+      "ĠSand y",
+      "ad ows",
+      "Ġv icious",
+      "ĠU I",
+      "Ġconst rained",
+      "Ġim b",
+      "Ġpre aching",
+      "imp act",
+      "Ġprog en",
+      "sh ared",
+      "Ġcrack ed",
+      "B ooks",
+      "aw k",
+      "Ex ercise",
+      "B U",
+      "Rem ove",
+      "Ġneur onal",
+      "ĠScript ures",
+      "Japan ese",
+      "ï¬ ģ",
+      "S ep",
+      "at ology",
+      "Ġre ap",
+      "Ġ( )",
+      "Ġj ur",
+      "Ġdown s",
+      "Pr ice",
+      "ĠS V",
+      "Ġper ce",
+      "ref lection",
+      "Bl ood",
+      "Ġdiss atis",
+      "ĠMind fulness",
+      "ĠLeon ardo",
+      "Ġabst raction",
+      "ĠKaz akh",
+      "_ %",
+      "w at",
+      "ĠM ari",
+      "ĠW iley",
+      "Ġbro th",
+      "IC K",
+      "Ġment oring",
+      "ĠFunction al",
+      "F ont",
+      "r anging",
+      "en ames",
+      "ĠS ammy",
+      "ĠP AR",
+      "ĠSt ru",
+      "Ġsuprem acy",
+      "ĠB A",
+      "Ġinter generational",
+      "E PA",
+      "Ġfl ax",
+      "Ġlog ically",
+      "Ġam use",
+      "Ġindex es",
+      "Ġoste oarthritis",
+      "res cent",
+      "ĠV ern",
+      "Ġsign ify",
+      "Ġhar ms",
+      "ĠJul ian",
+      "Ġsubstr ates",
+      "ĠInfect ious",
+      "c as",
+      "e ither",
+      "ĠC AN",
+      "ĠQt Widgets",
+      "ĠAnat omy",
+      "c ss",
+      "f ramework",
+      "ĠIt em",
+      "Ġsecret ly",
+      "Ġdefect ive",
+      "system s",
+      "mid t",
+      "ig rams",
+      "Ġrep o",
+      "Ġrest orative",
+      "Ġshort ened",
+      "Ġsal v",
+      "config ure",
+      "Ġthunder storm",
+      "ĠJenn ifer",
+      "Ġat roc",
+      "Ġphys i",
+      "R ule",
+      "ĠK l",
+      "Ġgr ind",
+      "ba um",
+      "M AN",
+      "or r",
+      "Ġch ase",
+      "Ġsole mn",
+      "Ġconvict ions",
+      "é ĩ",
+      "Ġb box",
+      "Ġre create",
+      "Ġjud ging",
+      "ĠPrinc ipal",
+      "Ġdens ely",
+      "Ġafore mentioned",
+      "Ġsat ire",
+      "Ġbroad band",
+      "Ġnan o",
+      "ĠEc ological",
+      "Ġblank ets",
+      "Ġinverte brates",
+      "ĠCoff ee",
+      "Ġp amph",
+      "Ġshell fish",
+      "Ġunem ployed",
+      "F ailed",
+      "ĠG L",
+      "Ġmort ar",
+      "Ġconfron ting",
+      "Ġcess ation",
+      "f acing",
+      "aw ed",
+      "Ġstat utory",
+      "Ġtele communications",
+      "ĠMal colm",
+      "Ġpron ounce",
+      "M edia",
+      "N eg",
+      "b ons",
+      "m ust",
+      "ang ible",
+      "Ġsou ps",
+      "Value Error",
+      "Orig inally",
+      "intend ent",
+      "ic uous",
+      "ob acteria",
+      "Ġmorb idity",
+      "D im",
+      "um ers",
+      "Ġcommun ism",
+      "Ġmeticul ously",
+      "Ġc reek",
+      "Ġlong itude",
+      "Ġrent al",
+      "ĠPeters burg",
+      "Ġannoy ing",
+      "F eed",
+      "i ates",
+      "reci ation",
+      "Ġhosp itality",
+      "Ġcris p",
+      "Ġb ison",
+      "Ġbelie ver",
+      "Ġstup id",
+      "res ize",
+      "ĠR osa",
+      "Ġapp liance",
+      "Ġsusp ense",
+      "Ġcareg iver",
+      "ident ifier",
+      "RIG HT",
+      "ĠG ill",
+      "ĠCor p",
+      "? '",
+      "ĠM unicip",
+      "ĠP ok",
+      "ĠD ol",
+      "Ġpal p",
+      "Ġso ak",
+      "ĠCh ain",
+      "ĠTrans lation",
+      "Ġkn ights",
+      "Ġcontradict ory",
+      "Ġoutwe igh",
+      "ert on",
+      "Ġsc are",
+      "ipp ers",
+      "ĠRequ irements",
+      "Ġreconc ile",
+      "ĠCompar ative",
+      "G r",
+      "b read",
+      "Ġpl aint",
+      "AN CE",
+      "Ġsan ction",
+      "Ġexplo iting",
+      "Ġsubt raction",
+      "Ġbol st",
+      "Ġopio ids",
+      "Ġanaly st",
+      "ĠEd it",
+      "Orig in",
+      "ĠSequ ence",
+      "Ġneighbour hood",
+      "ĠS inai",
+      "ann i",
+      "IO NAL",
+      "Ġchem ist",
+      "urb ed",
+      "leg al",
+      "s hips",
+      "ĠR ib",
+      "Ġent ail",
+      "Ġpred etermined",
+      "Ġball oons",
+      "ĠMath s",
+      "Ġalleged ly",
+      "resol ved",
+      "ĠJama ica",
+      "ĠRenew able",
+      "ĠL ed",
+      "Ġro asted",
+      "Ġbl unt",
+      "Ġtop ology",
+      "Ġkil ograms",
+      "quir ies",
+      "t b",
+      "ĠR ut",
+      "Ġj aws",
+      "Ġste er",
+      "Ġswe ets",
+      "ĠHim self",
+      "A round",
+      "id ine",
+      "ert ical",
+      "pack ages",
+      "C ategory",
+      "S axon",
+      "ar ag",
+      "ĠC otton",
+      "Ġimp urities",
+      "Ġret in",
+      "Ġana erobic",
+      "P rop",
+      "Ġcur r",
+      "Ġh alls",
+      "Ġ( [",
+      "\"\" )",
+      "Un ion",
+      "Ġt rench",
+      "Ġp soriasis",
+      "ot omy",
+      "ĠH iro",
+      "ĠR an",
+      "Ġdist raction",
+      "Ġshort ness",
+      "Ġcontinu um",
+      "Ġperpet uate",
+      "Ġp orn",
+      "Ġst aggering",
+      "Ġcl iffs",
+      "Ġhot ter",
+      "post s",
+      "n ie",
+      "qu isite",
+      "ag ar",
+      "Re comm",
+      "Ġbra ces",
+      "Ġpilgrim age",
+      "ĠT rial",
+      "ot yp",
+      "Ġspray ing",
+      "Ġvigil ance",
+      "Ġinsp ires",
+      "Ġsymbol ize",
+      "Ġneutr ality",
+      "in ia",
+      "Ġpl acent",
+      "Wid th",
+      "Ġric hest",
+      "th y",
+      "ĠL an",
+      "act ivated",
+      "oss il",
+      "Ġbu f",
+      "Ġcur se",
+      "ĠDet ection",
+      "( \"\"\"",
+      "ĠT et",
+      "Ġfore ground",
+      "Ġsqu ared",
+      "ĠFe ature",
+      "ca using",
+      "ĠVe hicle",
+      "ĠGalile o",
+      "ivari ate",
+      "T ool",
+      "k u",
+      "ace ans",
+      "then ing",
+      "Sc ale",
+      "y y",
+      "ĠB order",
+      "ĠH ort",
+      "ĠR oh",
+      "bo ats",
+      "Ġmanif ests",
+      "ĠAll ergy",
+      "fl ation",
+      "Ġt qdm",
+      "Ġa kin",
+      "al most",
+      "rig ued",
+      "A verage",
+      "Ġt innitus",
+      "Ġh ing",
+      "ĠE thernet",
+      "ĠJ ason",
+      "con cept",
+      "Ġhor rible",
+      "en os",
+      "al ms",
+      "ĠRe ally",
+      "Ġautom obiles",
+      "Ġcircum ference",
+      "Ġquot ation",
+      "Ø ª",
+      "ĠSt ick",
+      "medi ately",
+      "Ġstir ring",
+      "Ġstub born",
+      "Ġcollabor atively",
+      "Dep artment",
+      "Ġadminister ing",
+      "n om",
+      "ĠG ently",
+      "Ġset Up",
+      "Ġintim acy",
+      "occup ied",
+      "B ay",
+      "ĠCan aan",
+      "Ġincorpor ation",
+      "Ġmis information",
+      "S leep",
+      "Ġa we",
+      "ent ries",
+      "Ġprot on",
+      "vis it",
+      "Ġsem inar",
+      "Ġmisunder stood",
+      "Ġa ur",
+      "road s",
+      "Ġneighb ours",
+      "Ġfemin ism",
+      "Ġsacrific ing",
+      "Ġbra kes",
+      "ĠMechan ical",
+      "Guid eline",
+      "ĠP ossible",
+      "ĠK ol",
+      "Ġimm inent",
+      "p ractice",
+      "de cl",
+      "Th ings",
+      "Ġser pent",
+      "ĠCare fully",
+      "Ġintellectual s",
+      "ĠPhilipp ine",
+      "( [\"",
+      "or as",
+      "Ġp icks",
+      "f d",
+      "j un",
+      "Ġt ides",
+      "Ġst akes",
+      "ĠJ A",
+      "Ġun not",
+      "Ġanim ations",
+      "Ġsafegu ards",
+      "ĠP ink",
+      "ĠR M",
+      "Ġ' ')",
+      "Ġtur meric",
+      "Ġvag ina",
+      "Ġvend or",
+      "Ġr ug",
+      "Ġun fore",
+      "Ġwhat soever",
+      "Ġshow ers",
+      "Ġoccup ying",
+      "Ġsupplement ed",
+      "Ġ ids",
+      "Ġhe ars",
+      "Ġso othing",
+      "Ġmold s",
+      "ch unk",
+      "Ġfear ful",
+      "Ġthread ing",
+      "T L",
+      "k ed",
+      "l isher",
+      "ĠF ellow",
+      "str ftime",
+      "Ġdestro ys",
+      "' ^",
+      "K ids",
+      "Ġl an",
+      "ĠA RE",
+      "ĠS ter",
+      "Ġen cephal",
+      "ĠEngine er",
+      "paramet rize",
+      "v ocab",
+      "Ö ¼",
+      "Û Į",
+      "il oc",
+      "sw orth",
+      "Ġfram ed",
+      "Ġuseful ness",
+      "ĠMill enn",
+      "Ġdisput ed",
+      "Ġspont aneously",
+      "Ġaver aged",
+      "ĠDis aster",
+      "Ċĉĉ ĉĉĉĉ",
+      "ĠE y",
+      "ĠD awn",
+      "Ġk eras",
+      "Ġair ways",
+      "IS A",
+      "ĠInter face",
+      "D AT",
+      "en stein",
+      "or ian",
+      "Ġbio fuels",
+      "ĠWay ne",
+      "ĠFil ter",
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+      "ĠP ush",
+      "Ġch asing",
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+      "Ġund en",
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+      "ph rine",
+      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "T ele",
+      "o ining",
+      "Ġt ertiary",
+      "ĠM ood",
+      "RE QU",
+      "Par ams",
+      "Ġnu isance",
+      "Ġconfine ment",
+      "Ġsp leen",
+      "ĠDo ct",
+      "Ġlat itudes",
+      "ĠWhe at",
+      "Ġintr usion",
+      "Ġdiver gent",
+      "Ġentrepreneur ial",
+      "Ġdemol ished",
+      "Inc orpor",
+      "ly s",
+      "ĠHel ping",
+      "Health y",
+      "Ġpir ate",
+      "in ism",
+      "ff t",
+      "Ġinteg rates",
+      "Ġlymph oma",
+      "× ¨",
+      "Ġl as",
+      "Ġconf isc",
+      "Ġord ained",
+      "Ġreper cussions",
+      "ĠT ort",
+      "ĠW inn",
+      "Ġur ges",
+      "Ġconce al",
+      "estab lish",
+      "Ġpair ing",
+      "Ġinterf ering",
+      "ĠS oul",
+      "ĠF lying",
+      "Ġlife cycle",
+      "Ġfire arms",
+      "ĠTown ship",
+      "Ġdenom inator",
+      "iqu ed",
+      "ote chn",
+      "s ell",
+      "ĠB agh",
+      "Ġab re",
+      "In sp",
+      "Ġel k",
+      "ĠCO MP",
+      "oe lectric",
+      "ĠSan ct",
+      "ĠUN ICEF",
+      "found land",
+      "Ġspl its",
+      "' })",
+      "w et",
+      "Ġp ans",
+      "ad as",
+      "ĠB acteria",
+      "ĠG B",
+      "Ġsc arring",
+      "Ġemp ir",
+      "Ġprev ail",
+      "Ġcrick et",
+      "Ġ é",
+      "Ġt weet",
+      "ĠF arming",
+      "Ġout patient",
+      "Ġsust enance",
+      "ĠPol it",
+      "mk dir",
+      "ru ed",
+      "ĠRep rodu",
+      "Ġmes othelioma",
+      "Ġsacrific ed",
+      "Austral ia",
+      "ĠC ran",
+      "Ġr ude",
+      "ous se",
+      "print ing",
+      "Ġrevers al",
+      "p ull",
+      "Ġr ation",
+      "cur r",
+      "Ġscen ic",
+      "ost ering",
+      "ĠRe uters",
+      "Ġple as",
+      "Ġneuro pathy",
+      "My th",
+      "Ġpubl ishes",
+      "ĠOcc asionally",
+      "Ġuphold ing",
+      "ĠAnglic an",
+      "Ġclass ics",
+      "Ġpar an",
+      "max imum",
+      "Ġmotiv ating",
+      "Ġpresc ribing",
+      "Ġsecre cy",
+      "Ġchimpan zees",
+      "Ġquarant ine",
+      "B on",
+      "olution ary",
+      "Ġlink age",
+      "vert ical",
+      "ĠSub sequently",
+      "Equ als",
+      "Ġhippoc ampus",
+      "Ġdre amed",
+      "yrin th",
+      "D er",
+      "Ø ³",
+      "Ġa usp",
+      "Ġf umes",
+      "Ġm ounds",
+      "op py",
+      "ĠM ü",
+      "ĠR EM",
+      "pr ime",
+      "Ġcorrect ive",
+      "Ġinequ ities",
+      "Ġtempt ing",
+      "im ize",
+      "ĠT empl",
+      "ad ors",
+      "op hen",
+      "Ġcar vings",
+      "ĠTem per",
+      "ĠGal axy",
+      "Ġvel ocities",
+      "Dan iel",
+      "ĠM J",
+      "un less",
+      "ard on",
+      "Ġinto x",
+      "ĠV eg",
+      "ĠRe place",
+      "ĠÐ ¾",
+      "Ġbol t",
+      "CON T",
+      "i q",
+      "Ġf aded",
+      "oc hem",
+      "Ġweek ends",
+      "Ġadjust able",
+      "V ERSION",
+      "ĠH ale",
+      "Ġsm iles",
+      "ĠAs ide",
+      "ug a",
+      "ĠTo oth",
+      "Ġdivers ification",
+      "Ġhom ogeneous",
+      "gu ide",
+      "ĠRay mond",
+      "A UTH",
+      "k top",
+      "in oid",
+      "at ars",
+      "Ġf ry",
+      "Ġch ill",
+      "Ġpath ological",
+      "Ġthr ived",
+      "Ġguess ed",
+      "Ġinterpol ation",
+      "el ist",
+      "Ġliqu or",
+      "Ġfle as",
+      "ĠCele br",
+      "ĠManit oba",
+      "v irtual",
+      "ot ations",
+      "ine es",
+      "Ġimp lying",
+      "Ġgu inea",
+      "ĠGe ometry",
+      "irection al",
+      "Ġeleg ance",
+      "' /",
+      "ĠL D",
+      "Ġconnect ors",
+      "Ġmodern ity",
+      "ĠWi Fi",
+      "Ġfonts ize",
+      "r arian",
+      "Ġb rom",
+      "Ġcont empt",
+      "Ġatt aching",
+      "Ġmis ery",
+      "ĠEth nic",
+      "ĠOl ive",
+      "Ġspokes man",
+      "M ah",
+      "i osis",
+      "m are",
+      "ĠAnd y",
+      "sw ick",
+      "H ill",
+      "Ġt earing",
+      "ĠM arl",
+      "Ġhe aled",
+      "ĠW ellington",
+      "og o",
+      "ond e",
+      "++ ++",
+      "ĠMoz art",
+      "ĠDifficult y",
+      "Ġimpover ished",
+      "Ġhe ap",
+      "os al",
+      "ĠR ED",
+      "Ġem itting",
+      "Ġop aque",
+      "Ġlay ered",
+      "eral a",
+      "Ġrad iant",
+      "Ad am",
+      "Ġcrypt ography",
+      "oz oic",
+      "k k",
+      "Ġim itate",
+      "Ġoff ence",
+      "ĠCl im",
+      "Ġnom inated",
+      "Ġneurotransmit ter",
+      "ĠI ber",
+      "ĠP ri",
+      "ĠB ark",
+      "ĠN D",
+      "Ġdisc ard",
+      "Ġminim ise",
+      "rid ges",
+      "ĠÎ ´",
+      "Ġfur ry",
+      "Ġpharmaceutical s",
+      "Ġembro idery",
+      "Ġcott age",
+      "Ġcush ion",
+      "y o",
+      "Ġon board",
+      "mark er",
+      "bel ow",
+      "b ri",
+      "ĠH il",
+      "ink le",
+      "hor izontal",
+      "Ġfeed er",
+      ") !",
+      "C redit",
+      "op edia",
+      "Ġspecial ised",
+      "Ġtorn adoes",
+      "Ġmerchand ise",
+      "æį ®",
+      "arynge al",
+      "Ġl aughed",
+      "Ġtra m",
+      "ET E",
+      "Ġlux urious",
+      "ĠPyth ag",
+      "D est",
+      "or ption",
+      "ie ves",
+      "eg al",
+      "ĠDep uty",
+      "ĠCor al",
+      "xx xx",
+      "ĠCR ISPR",
+      "Ġf ir",
+      "Ġd unes",
+      "Ġl ament",
+      "op ened",
+      "Ġharm ed",
+      "IL D",
+      "Ġtransl ator",
+      "Ġmascul inity",
+      "Mart in",
+      "n av",
+      "ĠPed ro",
+      "V T",
+      "Ġt ul",
+      "Ġmot to",
+      "run k",
+      "H op",
+      "ĠThe m",
+      "ĠK un",
+      "Ġam yg",
+      "sp onsored",
+      "Ġocean ic",
+      "ĠRef lection",
+      "Ġadm its",
+      "Ġphotograp hed",
+      "effic iency",
+      "Ġdrow ning",
+      "Ġir is",
+      "Ġceleb rities",
+      "Ġbuck le",
+      "ĠNord ic",
+      "Ġape x",
+      "s ites",
+      "Ġwe ave",
+      "pect s",
+      "Ġbat ches",
+      "p el",
+      "t reated",
+      "ĠAr range",
+      "Ġlands caping",
+      "S Y",
+      "Ġmore over",
+      "Ġsl udge",
+      "Up dated",
+      "Ġlegisl ators",
+      "Ġmarginal ization",
+      "C Y",
+      "c wd",
+      "em otional",
+      "med ical",
+      "ĠJe hovah",
+      "OC K",
+      "Ġperpet rators",
+      "ĠLuther an",
+      "Ġincarc eration",
+      "omet own",
+      "ĠL M",
+      "Ġdi ode",
+      "inc hes",
+      "Ġrank ings",
+      "ĠScre ening",
+      "ĠC ases",
+      "Ġar Xiv",
+      "Ġins ulated",
+      "Ġmill ing",
+      "amb a",
+      "ĠIS SN",
+      "Ġyellow ish",
+      "ĠCommon ly",
+      "Ġcorrel ates",
+      "al ter",
+      "Ġblue berries",
+      "rog ens",
+      "Ġven ous",
+      "Ġmic rom",
+      "Ġtemp o",
+      "ap ons",
+      ".\" .",
+      "ĠEn cyclop",
+      "Ġmenstru ation",
+      "ĠPly mouth",
+      "g at",
+      "um ann",
+      "Ġ\" '",
+      "Ġpar ity",
+      "Ġbi ographical",
+      "======== ====",
+      "ĠSurve illance",
+      "Ġsurv ives",
+      "Ġhear ings",
+      "ĠResp iratory",
+      "Ġchim ney",
+      "R R",
+      "f inder",
+      "Ġa unt",
+      "ra cks",
+      "ft p",
+      "Ġhuman e",
+      "ush i",
+      "dev ices",
+      "Ġtablesp oon",
+      "ĠChick en",
+      "M ont",
+      "Ã ĥ",
+      "ĠIN T",
+      "ĠAP Is",
+      "Pos itive",
+      "ĠB av",
+      "app roximately",
+      "Ġcrypt o",
+      "M er",
+      "ĠO T",
+      "Ġbeh old",
+      "Ġhead ings",
+      "r ice",
+      "ĠB erm",
+      "Ġexplo its",
+      "Ġshad ing",
+      "Soft ware",
+      "il ion",
+      "Ġant ic",
+      "ĠPract icing",
+      "ĠCast ro",
+      "Ġmes mer",
+      "/ <",
+      "Ġ( *",
+      "ĠM eyer",
+      "ĠH ers",
+      "ĠL oop",
+      "ĠCh urches",
+      "Ġrecomm ending",
+      "iat ric",
+      "PubMed Google",
+      "D rop",
+      "N ESS",
+      "ĠSt roke",
+      "ĠRe vere",
+      "path ic",
+      "Ġver dict",
+      "Ġverte brates",
+      "Ġworsh ipped",
+      "P LA",
+      "at ism",
+      "Ġw arts",
+      "ĠH ook",
+      "ĠG ly",
+      "Ġweak ening",
+      "uv ian",
+      "Ġhym ns",
+      "ĠIn flamm",
+      "Ġspect ators",
+      "Ġfo oth",
+      "Ġtwist ing",
+      "ĠGast ro",
+      "atche wan",
+      "Ġabre ast",
+      "ĠD J",
+      "Ġsur rog",
+      "af er",
+      "Ġhot test",
+      "Ġtum ult",
+      "Ġalle vi",
+      "L ibrary",
+      "Ġth irds",
+      "ĠS ara",
+      "Ġbul lets",
+      "can vas",
+      "ĠPM C",
+      "Ġbatt ling",
+      "Ġcategor ize",
+      "Ġsulph ur",
+      "v ir",
+      "Ġcost ing",
+      "Ġforth coming",
+      "Ġpharm acy",
+      "omorph ic",
+      "t un",
+      "em ics",
+      "ĠN aturally",
+      "Ġsil ently",
+      "gi ene",
+      "M ental",
+      "Ġmy ocard",
+      "Ġfam ed",
+      "Ġche ek",
+      "Ġer ase",
+      "top ics",
+      "Ġneuro de",
+      "lock ed",
+      "ĠImm une",
+      "ĠLud wig",
+      "A WS",
+      "Ġs id",
+      "Ġis chem",
+      "Ġbl isters",
+      "ĠCons ortium",
+      "Sh ape",
+      "Ġkn ight",
+      "Ġhar b",
+      "Ke eping",
+      "Ġgran ular",
+      "Ġcoerc ion",
+      "b p",
+      "op old",
+      "ĠF erg",
+      "Ġmet re",
+      "ĠSal em",
+      "Ġalt ru",
+      "Ġarbit ration",
+      "Ġin accessible",
+      "Ġor g",
+      "Ġex oplan",
+      "ri ous",
+      "ĠL t",
+      "Ġmodern ization",
+      "che cks",
+      "ĠAst hma",
+      "Sign s",
+      "Ġconsol idated",
+      "Ġcasc ade",
+      "hoe a",
+      "ĠCorinth ians",
+      "n ine",
+      "ĠM az",
+      "ĠB in",
+      "un known",
+      "ĠR oth",
+      "ass er",
+      "ĠTra ce",
+      "dir s",
+      "prof essional",
+      "Ġtaxon omy",
+      "I r",
+      "ĠM ist",
+      "ort ment",
+      "Ġr att",
+      "cess ions",
+      "ever se",
+      "Ġhist ogram",
+      "ĠTher mal",
+      "S ide",
+      "Ġde letion",
+      "Ġun const",
+      "ĠCh ocolate",
+      "uc ose",
+      "Ġresearc hes",
+      "comp are",
+      "ĠHuman ities",
+      "ĠAD D",
+      "Ġbot an",
+      "eval uation",
+      "ech o",
+      "Exec ution",
+      "f an",
+      "to e",
+      "Ġspot light",
+      "Ġped al",
+      "ĠNG O",
+      "ĠA xis",
+      "av ier",
+      "ĠTra ditions",
+      "ĠTer ry",
+      "Elect ric",
+      "C ancer",
+      "he y",
+      "ĠF ashion",
+      "ogn ition",
+      "ĠAm ish",
+      "ĠÐ º",
+      "Ġabandon ment",
+      "Exper ts",
+      "O ffic",
+      "Ġst adium",
+      "ĠTh ousands",
+      "Ġod ors",
+      "Ġconve ys",
+      "umm ies",
+      "K it",
+      "Ġpolit ely",
+      "ĠVen et",
+      "ĠChron icle",
+      "l oo",
+      "Ġf us",
+      "Ġmed ial",
+      "Ġstrand ed",
+      "ĠExc ited",
+      "CAD E",
+      "ĠYah weh",
+      "ĠVlad imir",
+      "ic um",
+      "Ġh id",
+      "ĠU z",
+      "Ġlay outs",
+      "Ġrain forests",
+      "Ġsoph ist",
+      "Ġterror ists",
+      "ĠArg uments",
+      "tys burg",
+      "d ar",
+      "Ġinter im",
+      "Ġloc ality",
+      "ĠNe olithic",
+      "Ġult rason",
+      "mat ched",
+      "vol tage",
+      "Ġpin ch",
+      "Ġt attoo",
+      "op edic",
+      "ĠB UT",
+      "Ġtra verse",
+      "Ġem its",
+      "ĠSh arp",
+      "Res ources",
+      "Ġinvari ably",
+      "P CR",
+      "k il",
+      "om ials",
+      "Ġpro clamation",
+      "tain ment",
+      "aver ing",
+      ",,,, ,,,,",
+      "Ġneon atal",
+      "f x",
+      "ra ck",
+      "ll o",
+      "go al",
+      "ĠMan ip",
+      "ĠGu ides",
+      "Ġseek ers",
+      "ĠDat aset",
+      "ĠOri ent",
+      "rad le",
+      "ĠAnaly tics",
+      "ĠEnh anced",
+      "Ġridicul ous",
+      "| ','",
+      "Ġm asonry",
+      "ag i",
+      "Ġra ils",
+      "Ġpow dered",
+      "а ÑĤ",
+      "wra pper",
+      "scal ar",
+      "P ick",
+      "as array",
+      "Ġj er",
+      "Ġfire wall",
+      "ĠJer ry",
+      "] =",
+      "c atch",
+      "ver ting",
+      "ĠM atch",
+      "Ġse pt",
+      "Ġactiv ates",
+      "Ġpotential s",
+      "Ġrad ios",
+      "ĠFr aser",
+      "Ġund ist",
+      "ĠHouse hold",
+      "Spec ific",
+      "brow ser",
+      "l m",
+      "in ished",
+      "Ġg oose",
+      "ess im",
+      "Ġfl ashes",
+      "ĠSc ar",
+      "ĠGe o",
+      "L ord",
+      "Ġh ij",
+      "Ġpro actively",
+      "ie v",
+      "Ġgu err",
+      "Ġbatt alion",
+      "initial izer",
+      "Ġrecomb ination",
+      "Ġunreason able",
+      "M ic",
+      "T ools",
+      "m eg",
+      "ĠT alking",
+      "ĠA ry",
+      "ect in",
+      "Ġres umed",
+      "ĠProtest ants",
+      "Ġbloss oms",
+      "Ġamuse ment",
+      "ree ks",
+      "Ġsym metric",
+      "bur se",
+      "Ġcyber bullying",
+      "f ighting",
+      "Ø ¨",
+      "ĠT us",
+      "č ĊĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "it one",
+      "ĠS par",
+      "ĠS EC",
+      "ip olar",
+      "Ġtall est",
+      "Ġsucceed ing",
+      "Ġdream ing",
+      "Ġspark ling",
+      "ĠStock holm",
+      "Ġplank ton",
+      "ĠS erve",
+      "sp oken",
+      "Ġsyn onyms",
+      "Ġpupp ies",
+      "L ee",
+      "S ite",
+      "Ġb acon",
+      "Ġcon ced",
+      "Ġan s",
+      "Ġr anch",
+      "Ġer oded",
+      "Ġgraph ite",
+      "Ġpre ached",
+      "dest roy",
+      "Ġincl ination",
+      "Ġsho vel",
+      "Ġresh ape",
+      "ĠC iv",
+      "ĠU TC",
+      "Ġdri er",
+      "Ġindu ces",
+      "local host",
+      "Ġadvertise ment",
+      "Ġin ex",
+      "ur ai",
+      "Ġte amm",
+      "ĠForm er",
+      "Ġaqu ifer",
+      "AG ES",
+      "Ġsad ly",
+      "there um",
+      "Ġte as",
+      "Ġaff licted",
+      "Ġhand held",
+      "mark ed",
+      "Ġfraud ulent",
+      "Ġtrop ics",
+      "Ġf rig",
+      "od on",
+      "ĠW alt",
+      "ep id",
+      "Ġrec ol",
+      "Ġdetect able",
+      "re rs",
+      "Ġad herent",
+      "Ġpos ing",
+      "ĠGe off",
+      "Ġtrust ing",
+      "Ġepidem iological",
+      "M igration",
+      "at z",
+      "Ġj argon",
+      "port ed",
+      "ids on",
+      "lo om",
+      "T ell",
+      "ĠM ight",
+      "ĠP ie",
+      "ĠK atherine",
+      "Ġresult ant",
+      "Gu ide",
+      "Second ly",
+      "Ġrepos itories",
+      "or ating",
+      "ten ess",
+      "ER C",
+      "term edi",
+      "Ġune arthed",
+      "Ġd red",
+      "ĠB end",
+      "ĠH ier",
+      "amm ing",
+      "Ġfav ourable",
+      "ĠRod rig",
+      "Ġlawsu its",
+      "Cle ar",
+      "Ġbureauc racy",
+      "Ġg ust",
+      "Ġr ushing",
+      "ĠF err",
+      "Ġcomm issions",
+      "Ġlong standing",
+      "AB A",
+      "Ġimpart ial",
+      "enz ie",
+      "absol ute",
+      "ĠA uschwitz",
+      "Ġqu er",
+      "Ġtown ship",
+      "Ġrespond ers",
+      "Ġfav ors",
+      "Ġneglig ible",
+      "ĠPrag ue",
+      "r ar",
+      "in formatics",
+      "al ias",
+      "Ġmed ically",
+      "ĠCamp us",
+      "Ġinhal ation",
+      "Ġbiomark ers",
+      "S afety",
+      "ĠP all",
+      "add Widget",
+      "Ġpharmac ist",
+      "Ġprincip ally",
+      "otyp ic",
+      "H V",
+      "t ion",
+      "ĠC hern",
+      "ĠRe becca",
+      "ĠWe ber",
+      "Ġec clesiastical",
+      "Ġautom ate",
+      "Ġsurvey ing",
+      "ĠRob otics",
+      "Ġmiscon ception",
+      "Ġdiscrep ancy",
+      "Ġc ried",
+      "op in",
+      "ĠDesign ing",
+      "Ġtact ic",
+      "G RO",
+      "l ip",
+      "ĠS SD",
+      "Ġprin ces",
+      "Ġgrand children",
+      "Ġrecip rocal",
+      "D ar",
+      "h ang",
+      "á º",
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+      "Ġl ute",
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+      "Ġpip ing",
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+      "ĠBabylon ian",
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+      "Know ing",
+      "Ġfright ened",
+      "Ġbak ery",
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+      "Ġhug ely",
+      "Ġv m",
+      "all ows",
+      "Ġme adow",
+      "ĠQu ery",
+      "Ġreplace ments",
+      "ĠGet tysburg",
+      "Ġmiracul ous",
+      "Ö °",
+      "Ġw itches",
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+      "ĠF ever",
+      "Ġinv oke",
+      "Ġdesign ate",
+      "pr udence",
+      "ĠApp ropriate",
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+      "ĠSpace X",
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+      "ator ium",
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+      "Ġconj unct",
+      "Spe aking",
+      "S ER",
+      "ĠF iber",
+      "ĠG ael",
+      "ear ance",
+      "ĠSpe aker",
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+      "Ġaffili ate",
+      "v oid",
+      "ĠM iles",
+      "iv ists",
+      "Ġtr unks",
+      "Ġorder ly",
+      "Ġcompet itor",
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+      "Ġc yn",
+      "ĠH ut",
+      "Ġben evol",
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+      "Ġwood lands",
+      "ĠHar riet",
+      "Ġbran ching",
+      "S K",
+      "ith s",
+      "ĠQ i",
+      "ĠGuid ance",
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+      "N early",
+      "Ġbe asts",
+      "ass essment",
+      "Ġgovern ors",
+      "su itable",
+      "AC P",
+      "bor o",
+      "Re LU",
+      "rog raph",
+      "Ref lecting",
+      "Ġescal ating",
+      "Ġconson ant",
+      "em ployment",
+      "ane y",
+      "pat terns",
+      "Ġshield ing",
+      "ĠMcK in",
+      "ĠCl uster",
+      "Ġengage ments",
+      "ĠMiss ing",
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+      "perm issions",
+      "Ġcataly tic",
+      "Ġmarch ing",
+      "Ġdisproportion ate",
+      "Ġtreacher ous",
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+      "ĠW ine",
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+      "Ġprog esterone",
+      "sect or",
+      "lean or",
+      "Te acher",
+      "atal og",
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+      "it ively",
+      "ut ors",
+      "ĠD uc",
+      "ĠR ama",
+      "Ġed ema",
+      "Ġcalm ly",
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+      "est ine",
+      "ĠG or",
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+      "umin um",
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+      "T el",
+      "Ġt out",
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+      "Ġserial izer",
+      "Ġcro pping",
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+      "g ames",
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+      "ore g",
+      "ind le",
+      "Ġcommun ion",
+      "Ġaff luent",
+      "ĠÎ µ",
+      "Ġcaptiv ated",
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+      "Ġk ernels",
+      "Ġsw arm",
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+      "A uth",
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+      "Ġoverth row",
+      "Ġprerequ isite",
+      "o ating",
+      "Ġ ....",
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+      "ss h",
+      "Ġsk ys",
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+      "Ġathe rosclerosis",
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+      "Ġs addle",
+      "ĠE F",
+      "iet z",
+      "Ġsuff ice",
+      "Ġtransplant ed",
+      "L ower",
+      "Â ¬",
+      "Ġt ents",
+      "ĠIt ems",
+      "ateg orical",
+      "ĠAst roph",
+      "Ġplag ued",
+      "Ġprincip als",
+      "Ġd é",
+      "and ers",
+      "ci ences",
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+      "calcul ate",
+      "â ģ",
+      "ib eral",
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+      "umb ai",
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+      "Ġvolt ages",
+      "c u",
+      "Ġcomm ons",
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+      "Ġest u",
+      "ĠPres chool",
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+      "Ġelect roph",
+      "ĠMe cca",
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+      "Ġbronch itis",
+      "CAS CADE",
+      "A li",
+      "ĠAn ch",
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+      "ON T",
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+      "Ġcuc umber",
+      "C opy",
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+      "ha o",
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+      "yal gia",
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+      "\\_ \\_",
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+      "C apt",
+      "b ite",
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+      "le hem",
+      "az ole",
+      "Ġfaith s",
+      "Ġundert ook",
+      "ĠCoord inator",
+      "è¡ Į",
+      "ĠTud or",
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+      "ĠM é",
+      "ĠL ights",
+      "ĠO ng",
+      "Ġsqu id",
+      "Cl inical",
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+      "ĠIntrodu ce",
+      "ĠDur ham",
+      "åľ ¨",
+      "Ġinfringe ment",
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+      "ĠTh omson",
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+      "ĠTh under",
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+      "ĠShe pherd",
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+      "+ =",
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+      "ict ed",
+      "-------- ---",
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+      "wau kee",
+      "Ġre juven",
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+      "ĠMax well",
+      "Ġaver aging",
+      "A Y",
+      "B row",
+      "im ilar",
+      "ĠC ay",
+      "Ġhe irs",
+      "ĠK erala",
+      "Ġoff enses",
+      "gen cies",
+      "Ġov ary",
+      "Ġpreced ents",
+      "Object ive",
+      "Ġembarr assed",
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+      "mom ent",
+      "s b",
+      "Ġst aining",
+      "Ġbro ker",
+      "ĠAm azing",
+      "Un less",
+      "Ġspect acle",
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+      "ĠSil icon",
+      "ĠSant iago",
+      "Ġlem ons",
+      "ĠKle in",
+      "g od",
+      "ĠB ever",
+      "ĠDi agram",
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+      "e at",
+      "g rain",
+      "Ġcl amp",
+      "Ġqu inoa",
+      "Ġag itation",
+      "Ġorgan izer",
+      "ĠAnd es",
+      "Ġmis erable",
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+      "vi ations",
+      "ĠEval uating",
+      "G Y",
+      "h p",
+      "n ar",
+      "Ġ ####",
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+      "Ġsub conscious",
+      "enc ia",
+      "obs erv",
+      "Ġnob les",
+      "ĠCro hn",
+      "Ġsli ppery",
+      "ĠEug ene",
+      "b ots",
+      "Ġl odge",
+      "Ġcont ention",
+      "test ed",
+      "Ġcondition er",
+      "Ġhab itable",
+      "Ġcommand ments",
+      "Ġvan ished",
+      "Ġcow ork",
+      "Ġdischarg es",
+      "ĠA ber",
+      "Ġassert ing",
+      "Ġtrig on",
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+      "P U",
+      "c z",
+      "v cam",
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+      "und ra",
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+      "IC ES",
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+      "le ges",
+      "ĠSh ift",
+      "equ ipped",
+      "Ġund ue",
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+      "ĠT F",
+      "ĠL ob",
+      "ass ets",
+      "Ġconver ge",
+      "Ġros py",
+      "Ġunderp innings",
+      "h of",
+      "Ġhand book",
+      "Ġrest ed",
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+      "b ler",
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+      "alam us",
+      "Ġunman ned",
+      "R aw",
+      "Ġex cre",
+      "Ġch orus",
+      "Ġword ing",
+      "Ġtravel er",
+      "ĠReg istration",
+      "ĠMy c",
+      "Ġcam el",
+      "ĠSw an",
+      "Ġfix ation",
+      "Ġâ Ĺ",
+      "ĠFar mer",
+      "Hel per",
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+      "A z",
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+      "Ġerg on",
+      "Ġo phthalm",
+      "ĠT ables",
+      "Ġst aged",
+      "hor se",
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+      "Ġso ber",
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+      "ĠMor rison",
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+      "in able",
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+      "Ġasp iration",
+      "G ender",
+      "N I",
+      "ĠA MD",
+      "ĠR id",
+      "Ġdes erved",
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+      "Ġbrig ade",
+      "Ġtribut aries",
+      "M atch",
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+      "CL C",
+      "Requ ired",
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+      "othe red",
+      "Ġbicy cles",
+      "E ds",
+      "N othing",
+      "f ty",
+      "ut z",
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+      "ĠP our",
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+      "b org",
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+      "ct ools",
+      "ĠH our",
+      "de al",
+      "though t",
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+      "Ġconve x",
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+      "ĠG ospels",
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+      "g row",
+      "Ġinf ested",
+      "Ġdec oder",
+      "ina e",
+      "ĠHer z",
+      "Ġcomfort ing",
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+      "n ob",
+      "ro red",
+      "ĠCons umption",
+      "Ġcomplet es",
+      "fe res",
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+      "Ġsick le",
+      "Ġcher ish",
+      "D EC",
+      "Ġt ac",
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+      "Ġins ulating",
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+      "Ġadrenal ine",
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+      "j ac",
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+      "Ġash ore",
+      "P layer",
+      "f ro",
+      "ĠN urse",
+      "Ġins ists",
+      "Ġunt ouched",
+      "Ġcrit ters",
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+      "ĠM ant",
+      "Ġsh am",
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+      "Ġpsychiat rist",
+      "ĠMoh ammed",
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+      "ĠCardi ovascular",
+      "_ {}",
+      "he w",
+      "Ġm oms",
+      "Ġpl ung",
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+      "ĠSp aces",
+      "Ġcircuit ry",
+      "Ġcrown ed",
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+      "Ġart isan",
+      "She ll",
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+      "R ED",
+      "T uple",
+      "Ġdig ested",
+      "ĠBrad ley",
+      "Ġf encing",
+      "ch rome",
+      "un ctions",
+      "ĠWell ness",
+      "opol y",
+      "ĠHay es",
+      "Ġrud imentary",
+      "L ES",
+      "Ġfor ged",
+      "Ġr iv",
+      "Ġdist al",
+      "fl ush",
+      "AL E",
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+      "at ized",
+      "ĠM ED",
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+      "Ġrect um",
+      "dist ribution",
+      "ĠLect ure",
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+      "ĠYugoslav ia",
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+      "Ġnot ices",
+      "Ġsk ipping",
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+      "Ġturb ulence",
+      "Ġsupp orter",
+      "Ġpass port",
+      "Ġexperiment ed",
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+      "G ene",
+      "Ġrel ocation",
+      "Ġsoci ological",
+      "Ġsuper markets",
+      "Ġobst ructive",
+      "Ġfabric ated",
+      "ĠNorm andy",
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+      "Ġc unning",
+      "ĠAl ps",
+      "ah s",
+      "Ġpost al",
+      "ĠAust en",
+      "Ġarchae ologist",
+      "pub lish",
+      "Ġiter ative",
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+      "t um",
+      "Ġl one",
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+      "ec ost",
+      "ĠAm ph",
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+      "iz ens",
+      "br inging",
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+      "Te am",
+      "ĠGl obe",
+      "Ġgly cemic",
+      "ĠP aste",
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+      "St ates",
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+      "am ate",
+      "rom yalgia",
+      "cl one",
+      "Ġup held",
+      "Ġfun nel",
+      "Ġdivers ion",
+      "ĠBay esian",
+      "Ġcompound ed",
+      "Every thing",
+      "ĠConfed eration",
+      "Ġl ighthouse",
+      "ĠT ommy",
+      "Ġal ve",
+      "ĠE E",
+      "Ġoff ender",
+      "ole cule",
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+      "Ġt andem",
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+      "yl ene",
+      "Pro per",
+      "Ġouts iders",
+      "Ġapp raisal",
+      "Ġkit chens",
+      "ĠBab ies",
+      "ĠMarx ism",
+      "ĠJoy ce",
+      "Ġoy ster",
+      "iz en",
+      "Ġpl ut",
+      "ĠNE W",
+      "V C",
+      "í ķ",
+      "el astic",
+      "gg ling",
+      "Ġpaper work",
+      "Ġlo osen",
+      "dered Dict",
+      "ĠCarol ine",
+      "ĠT ank",
+      "all ic",
+      "ĠIn quiry",
+      "ST OR",
+      "run s",
+      "Ġhom estead",
+      "ĠLabor atories",
+      "Ġhypothes ized",
+      "Ġl ang",
+      "Ġterm inated",
+      "med ian",
+      "Ġhyp ogly",
+      "Ġwel d",
+      "Ac adem",
+      "Ġconve ction",
+      "Pop ulation",
+      "Pref ix",
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+      "Ġde x",
+      "ĠE SL",
+      "Ġcycl ists",
+      "opl astic",
+      "f aced",
+      "g rams",
+      "p ound",
+      "Ġ** *",
+      "Ġoffs ets",
+      "Ġeluc idate",
+      "Ġredund ancy",
+      "Ġf ug",
+      "Ġpop ping",
+      "ament als",
+      "Ġdress es",
+      "X ML",
+      "or ange",
+      "ĠT aj",
+      "ĠT rag",
+      "ĠF CC",
+      "ĠLe vi",
+      "fl ix",
+      "Ġtar iff",
+      "ĠI v",
+      "Ġloc us",
+      "ĠTo ken",
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+      "O G",
+      "ĠG rim",
+      "red irect",
+      "por al",
+      "Ġill umin",
+      "Not ice",
+      "Ġverb ally",
+      "Ġsucc umb",
+      "Ġsynchron ous",
+      "Ġjelly fish",
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+      "Ġprom otional",
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+      "L oc",
+      "i atic",
+      "em y",
+      "Ġcl ut",
+      "Ġcal oric",
+      "ocument ed",
+      "Ġaud itor",
+      "Ġtrust s",
+      "Ġguard ed",
+      "Pr ivate",
+      "åı ĸ",
+      "C BT",
+      "Ġn s",
+      "ĠP ond",
+      "ast ies",
+      "ph rase",
+      "Ġconf ed",
+      "Ġeth os",
+      "ĠProp he",
+      "ĠInfect ions",
+      "Ġopp os",
+      "Ġcou ch",
+      "Ġign ores",
+      "ĠSam ar",
+      "о ÑĢ",
+      "prior ity",
+      "ĠHarmony ville",
+      "Ġto pped",
+      "arch ing",
+      "alf a",
+      "Ġaction able",
+      "Ġmanif old",
+      "Ġlic ence",
+      "Ġfashion able",
+      "æ İ",
+      "Ġs her",
+      "Ġm ural",
+      "Ġse psis",
+      "av ailability",
+      "Ġtra ys",
+      "Ġagree ing",
+      "ĠMechan ics",
+      "plug ins",
+      "Ġupgrad es",
+      "Ġcl utter",
+      "ĠMan ifest",
+      "Ġpron oun",
+      "ĠHop efully",
+      "Ġlur king",
+      "l iest",
+      "Ġp us",
+      "ĠV ine",
+      "DE F",
+      "Ġoverl ooking",
+      "ĠMarc o",
+      "ĠV on",
+      "Ġinter feres",
+      "CO DE",
+      "Ġprem ier",
+      "Ġshout ing",
+      "ll er",
+      "Ġprop hetic",
+      "Test ing",
+      "Ġrail ways",
+      "Ġscal ability",
+      "Ġlean ing",
+      "S ing",
+      "p kl",
+      "Ġo mit",
+      "Ġm d",
+      "il ight",
+      "ĠT ah",
+      "Ġpl ume",
+      "Ġexp ired",
+      "ĠPar ish",
+      "Ġinject ing",
+      "ĠAccess ibility",
+      "Ġmold ing",
+      "Ġquot ations",
+      "Pol itical",
+      "ĠNut r",
+      "C hemical",
+      "r ils",
+      "st rand",
+      "ĠP ump",
+      "qu ake",
+      "Ġsw amp",
+      "Ph ase",
+      "ĠProv idence",
+      "Event ually",
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+      "ĠA CL",
+      "ĠL az",
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+      "op ening",
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+      "ch ars",
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+      "d uty",
+      "Ġple thora",
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+      "Ġlit urgical",
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+      "t c",
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+      "ĠWe ak",
+      "\"\" \",",
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+      "Ġback lash",
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+      "ĠL iquid",
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+      "g erald",
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+      "At lantic",
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+      "c ooked",
+      "m obile",
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+      "Ġhelic opters",
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+      "b ay",
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+      "ĠD ante",
+      "Ġdis respect",
+      "Ġme ga",
+      "Ġem perors",
+      "Ġconf er",
+      "Ġred is",
+      "Ġfix es",
+      "ĠEvery day",
+      "ĠJim my",
+      "Ġt ending",
+      "ĠT rip",
+      "av ian",
+      "Ġper ceptual",
+      "Ġepidem i",
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+      "blow n",
+      "ĠT rop",
+      "Ġex emption",
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+      "Ġall ure",
+      "Ġra pt",
+      "ĠSp in",
+      "Ġconvers ions",
+      "Ġexempl ary",
+      "ĠInvestig ate",
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+      "ĠM ats",
+      "Ġtra che",
+      "Ġcur tain",
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+      "Ġbor ough",
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+      "b ane",
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+      "qu ist",
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+      "Ġdeb ut",
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+      "C ome",
+      "T ri",
+      "É ª",
+      "ph inx",
+      "ex am",
+      "Ġnorth ward",
+      "Ġhom in",
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+      "oc in",
+      "ĠN LP",
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+      "Ġperform er",
+      "trans lation",
+      "ĠMaster ing",
+      "ĠâĨ ©",
+      "Ġde w",
+      "ĠEm issions",
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+      "Ġstew ards",
+      "ĠHunt ington",
+      "Exp ression",
+      "Adv anced",
+      "ĠM ild",
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+      "c ulation",
+      "ĠI roqu",
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+      "Ġbre thren",
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+      "rom agnetic",
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+      "ĠAss uming",
+      "ĠTra cking",
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+      "Ġaggreg ates",
+      "ĠHait ian",
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+      "Ġundist urbed",
+      "H on",
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+      "ĠD uck",
+      "ĠN amed",
+      "idd ish",
+      "ĠTe ams",
+      "Ġinfl ated",
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+      "Ġfingerprint s",
+      "F ill",
+      "iv ary",
+      "Ġloc king",
+      "Ġmagn ification",
+      "Ġpet rol",
+      "Ġsyn onym",
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+      "Ø ¹",
+      "Ġs lug",
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+      "Ġold s",
+      "ĠBi om",
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+      "Ġun natural",
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+      "is lation",
+      "ĠS ets",
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+      "ĠF IG",
+      "Ġinter ruption",
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+      "Ġpoly ps",
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+      "Ġh atching",
+      "Ġaff lict",
+      "Ġreact ed",
+      "Ġ__ ___",
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+      "effic acy",
+      "Ġresort ing",
+      "hearted ly",
+      "Ġconson ants",
+      "Ġmatt ress",
+      "E mp",
+      "M u",
+      "Ġm uff",
+      "Ġam ber",
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+      "Ġun paid",
+      "Ġsitu ational",
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+      "ãĥ ¼",
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+      "âĨ Ĵ",
+      "ĠFerg uson",
+      "Ġm uddy",
+      "ĠM AR",
+      "ĠP iet",
+      "ĠThe me",
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+      "Ġinc ur",
+      "ĠZ ur",
+      "ĠSoci eties",
+      "Ġdu plication",
+      "Ġcoun selling",
+      "Ġcrust aceans",
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+      "Ġs ighed",
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+      "Ġcontempl ating",
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+      "ĠPic asso",
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+      "C ounter",
+      "f b",
+      "Ġf ading",
+      "Ġ( .",
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+      "Ġsalt water",
+      "f riends",
+      "ir ies",
+      "ĠP ron",
+      "ĠP UR",
+      "Ġv eto",
+      "ĠE leanor",
+      "Ġice berg",
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+      "O wn",
+      "P ain",
+      "j ack",
+      "ĠB T",
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+      "ĠAnt io",
+      "ĠG EN",
+      "Ġcomp artments",
+      "ĠU nt",
+      "Ġmill ise",
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+      "el ior",
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+      "ran ial",
+      "Ġunf avorable",
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+      "Ġstraw berry",
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+      "Ġmotiv ates",
+      "ĠMcC arthy",
+      "ĠMess enger",
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+      "/ ).",
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+      "p od",
+      "Â ±",
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+      "ĠWaters hed",
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+      "Ġs add",
+      "Ġp arch",
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+      "Ġsh attered",
+      "Ġsp ared",
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+      "CC C",
+      "Ġadmit ting",
+      "Ġwitch craft",
+      "H aw",
+      "Ġt z",
+      "ĠS AM",
+      "ĠM H",
+      "art hen",
+      "Ġun equ",
+      "Ġsol ves",
+      "Ġsem antics",
+      "Ġstock p",
+      "Ġvac ant",
+      "ĠEmer gence",
+      "Disc uss",
+      "Ġsurpass ed",
+      "ĠKurd ish",
+      "O ri",
+      "T y",
+      "ĠS urgical",
+      "ĠAl ready",
+      "Ġtreat able",
+      "Ġcomputer ized",
+      "LE X",
+      "soft ware",
+      "gener ic",
+      "uns queeze",
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+      "ĠIllust rated",
+      "b ond",
+      "f owl",
+      "am os",
+      "Ġv ene",
+      "Ġcall igraphy",
+      "ĠAnd rea",
+      "Ġpast ry",
+      "ĠPers ians",
+      "Ġdiss imilar",
+      "ĠDoes n",
+      "Inter faces",
+      "Ġsubsid iary",
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+      "ĠHun ger",
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+      "under stand",
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+      "ĠGlac ier",
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+      "ĠY ose",
+      "ĠMan ila",
+      "ĠPre cision",
+      "Ġrot ates",
+      "Ġnarrow ly",
+      "ĠInv ol",
+      "Ġdy stop",
+      "ĠWould n",
+      "Ġcancell ed",
+      "Ġchiropract ic",
+      "N ULL",
+      "ĠMil waukee",
+      "ĠInteg er",
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+      "ĠG Hz",
+      "Ġsy st",
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+      "ĠMon aster",
+      "Ġfav oring",
+      "Dis play",
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+      "c ame",
+      "Ġto ast",
+      "Ġsol stice",
+      "Ġprob ing",
+      "Ġing est",
+      "ĠCor respond",
+      "anth ropy",
+      "Ġheter ogeneity",
+      "Ġdivor ced",
+      "ĠRoberts on",
+      "B uy",
+      "M Y",
+      "Ġt int",
+      "pec ific",
+      "read line",
+      "Ġcap illary",
+      "Ġrich ly",
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+      "Ġcalibr ated",
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+      "F lor",
+      "r v",
+      "v ie",
+      "ĠJ enny",
+      "ĠDe bor",
+      "cient ious",
+      "Ġvul gar",
+      "pow der",
+      "Ġhack er",
+      "ogg le",
+      "Ġcraw ling",
+      "Ġgri zz",
+      "ĠBry an",
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+      "Lou is",
+      "d ia",
+      "ĠT C",
+      "Ġdist ressing",
+      "Ġheart y",
+      "Ġcho king",
+      "Ġign ite",
+      "ĠMen u",
+      "Ġhydro ly",
+      "Wik imedia",
+      "ist ocene",
+      "Ġinver ter",
+      "ĠJo el",
+      "Qt Core",
+      "Ġworkflow s",
+      "A sh",
+      "h id",
+      "s up",
+      "Ġp iracy",
+      "ĠC uisine",
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+      "St ock",
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+      "enn el",
+      "Ġdirection al",
+      "Col lab",
+      "Ġflavor ful",
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+      "Ġsung lasses",
+      "ĠHend erson",
+      "H ence",
+      "c pp",
+      "ĠCom bat",
+      "Ġshort cut",
+      "ĠMc N",
+      "flow s",
+      "ĠProm ote",
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+      "Ġre aring",
+      "Ġpo inters",
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+      "Ġlik eness",
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+      "ĠBar riers",
+      "ĠDO E",
+      "Ġdissemin ated",
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+      "Ġit ertools",
+      "ĠB orne",
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+      "p iration",
+      "Ġin und",
+      "st own",
+      "ĠM ik",
+      "ĠInter pret",
+      "IF IC",
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+      "Ġpremium s",
+      "ĠErn st",
+      "O pp",
+      "e cl",
+      "al ent",
+      "pl ine",
+      "Ġsh irts",
+      "act ors",
+      "Ġspec ulated",
+      "af ka",
+      "Ġbur rows",
+      "------------ ---",
+      "Tra ck",
+      "Ġpend ulum",
+      "B and",
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+      "Ġhand lers",
+      "Ġenc ir",
+      "ĠApp s",
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+      "Ġj ava",
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+      "ĠZ oro",
+      "Ġec ologically",
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+      "Ġembarr assing",
+      "E le",
+      "O m",
+      "\\ ''",
+      "s parse",
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+      "ĠBy ron",
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+      "det ection",
+      "ĠHirosh ima",
+      "Ġallevi ating",
+      "Ï Ĩ",
+      "Ġst oves",
+      "ĠS itu",
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+      "Ġsac ra",
+      "Ġformal dehyde",
+      "ĠNutrition al",
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+      "D elta",
+      "g ive",
+      "Ġto fu",
+      "AT O",
+      "Ġlif ts",
+      "ĠNi agara",
+      "Ġank les",
+      "p ending",
+      "at aka",
+      "Ġl oot",
+      "ĠHe ath",
+      "the rapy",
+      "Ġcut off",
+      "Ġax i",
+      "ĠGreen e",
+      "Ġk icks",
+      "Ġfl ushing",
+      "ident ally",
+      "Ġexp ulsion",
+      "Ġpop ulous",
+      "Ġobs essive",
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+      "Ġbreak er",
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+      "ist ors",
+      "Ġhe res",
+      "Ġfund raising",
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+      "Ġreluct ance",
+      "sd k",
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+      "ĠMunicip al",
+      "dise ase",
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+      "Ġinter state",
+      "Ġes capes",
+      "Ġbusiness man",
+      "Ġz omb",
+      "amin ophen",
+      "Ġreprodu cing",
+      "ĠMaj esty",
+      "Ġscaff old",
+      "S omething",
+      "Ġw edge",
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+      "ĠK as",
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+      "è ¾",
+      "Ġe ug",
+      "op p",
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+      "arn ish",
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+      "ĠP oss",
+      "Ġlast sum",
+      "Ġsun burn",
+      "AB C",
+      "Gen etic",
+      "uts ch",
+      "conc iliation",
+      "Ġunderm ined",
+      "Ġentang led",
+      "Ġranc hers",
+      "Ġatt aining",
+      "ĠSc ene",
+      "Ġpow ders",
+      "ĠDec imal",
+      "Ident ify",
+      "Ġcaul iflower",
+      "Ġc p",
+      "Ġp inn",
+      "ĠSh ield",
+      "Ġaccess ion",
+      "Ch anges",
+      "Ġassert ions",
+      "Ġfif teenth",
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+      "Ġpreserv atives",
+      "W alk",
+      "ct omy",
+      "Ġg le",
+      "ĠF requently",
+      "ri osis",
+      "ĠCh ancellor",
+      "ĠHe gel",
+      "ĠNew port",
+      "enc oded",
+      "Ġhyp not",
+      "OS E",
+      "ĠVe hicles",
+      "ĠMap le",
+      "DateTime Field",
+      "L ock",
+      "Ġv owed",
+      "Ġcan yon",
+      "ĠHam pton",
+      "ĠTro jan",
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+      "Ġn ond",
+      "if olia",
+      "ord ial",
+      "Ġfl ute",
+      "=' <",
+      "Com pare",
+      "hist orical",
+      "ĠDefault s",
+      "Ġeps ilon",
+      "s ic",
+      "ĠT S",
+      "ĠR H",
+      "ĠG ould",
+      "ĠV et",
+      "Ġpar cel",
+      "Al pha",
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+      "N B",
+      "ed er",
+      "Ġan eur",
+      "ak ov",
+      "Ġ' \"",
+      "Ġsal am",
+      "Ġliquid ity",
+      "ĠPur ple",
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+      "he ne",
+      "el ic",
+      "ĠW OR",
+      "ĠL omb",
+      "ci an",
+      "reg ions",
+      "Ġintrodu ctions",
+      "ĠSong s",
+      "Stat istics",
+      "ĠT olkien",
+      "Ġst ab",
+      "Ġst anza",
+      "ĠS MS",
+      "Ġk arma",
+      "Ġcl am",
+      "ĠSun ni",
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+      "Ġrehab ilit",
+      "Ġpap ill",
+      "Ġproc rast",
+      "r ases",
+      "Ġh over",
+      "ĠS ensor",
+      "ĠL oyal",
+      "Ġcl ans",
+      "Ġtrans verse",
+      "err als",
+      "ĠCons umers",
+      "gra vity",
+      "Ġnic hes",
+      "ĠC ars",
+      "ĠB lessed",
+      "ĠR R",
+      "Ġag rarian",
+      "Ġsub types",
+      "Ġvar ic",
+      "trans forms",
+      "Ġcritic ize",
+      "ĠRob ot",
+      "Man aging",
+      "Ġhall mark",
+      "Ġimmers ing",
+      "Ġpall iative",
+      "ĠUz bek",
+      "B ank",
+      "B ird",
+      "L ate",
+      "P oor",
+      "S ent",
+      "b und",
+      "m ite",
+      "Ġpart itions",
+      "Ġqu oting",
+      "ĠAm en",
+      "Text Field",
+      "Ġtort ured",
+      "Ġpsy che",
+      "B uffer",
+      "R ock",
+      "ra k",
+      "ĠM ID",
+      "ĠQu est",
+      "Ġund ocumented",
+      "Ġfunctional ities",
+      "Ġboy cott",
+      "Develop ing",
+      "cred entials",
+      "N utrition",
+      "Ġne arer",
+      "ĠU W",
+      "Ġun sc",
+      "Ġprom otions",
+      "Ġthink er",
+      "light ing",
+      "Ġclean se",
+      "Ġcorrect ness",
+      "ĠDam ascus",
+      "Ġv enge",
+      "Ġrep r",
+      "Ġlab yrinth",
+      "Ġport rays",
+      "ठĤ",
+      "ĠBo oth",
+      "Ġprecon ceived",
+      "t ube",
+      "Ġthe ses",
+      "ĠP U",
+      "Ġsc rum",
+      "Ġrep el",
+      "Ġcar ic",
+      "ĠCompar ing",
+      "Ġcuc umbers",
+      "Ġgorge ous",
+      "Ġnar ration",
+      "B a",
+      "M apping",
+      "im posed",
+      "Ġpre cursors",
+      "ph on",
+      "Ġmar athon",
+      "ĠBe es",
+      "ĠSc outs",
+      "Ġâ Ļ",
+      "ĠProp ulsion",
+      "Ġlean ed",
+      "Ġtart ar",
+      "B an",
+      "Ġcont iguous",
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+      "Ġcirc a",
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+      "amps ia",
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+      "f et",
+      "Ġun suitable",
+      "ĠPr ussian",
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+      "rosso ver",
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+      "c ause",
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+      "Ġdist rust",
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+      "Ġtoug her",
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+      "mar ine",
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+      "Ġfluctu ating",
+      "Ġstrat ification",
+      "ĠAchie vement",
+      "ĠOptim ization",
+      "Ġd ared",
+      "Ġ\" $",
+      "con tained",
+      "Ġchar ismatic",
+      "ĠCont ribut",
+      "Ġcivil ized",
+      "Ġfear ing",
+      "Ġsyn aptic",
+      "ĠImport antly",
+      "ĠEqu ations",
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+      "PS C",
+      "ĠAdv ocate",
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+      "Ġun a",
+      "Ġmechan ically",
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+      "Ġresource fulness",
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+      "Ġinterven ing",
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+      "st ations",
+      "Ġse cession",
+      "Th ursday",
+      "Ġgood bye",
+      "rag ed",
+      "Ġcut ter",
+      "Ġsky rock",
+      "Ġadherent s",
+      "if a",
+      "un icode",
+      "Ġper ish",
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+      "ĠTr in",
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+      "ĠNet flix",
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+      "N V",
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+      "us ual",
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+      "Ġcomput es",
+      "Ġampl ifying",
+      "Ġfra ught",
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+      "/ ,",
+      "n or",
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+      "im us",
+      "ĠL IMIT",
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+      "Ġfl ipped",
+      "ĠAs c",
+      "Ġpost ures",
+      "ĠAg enda",
+      "Ġinhib ited",
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+      "oad er",
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+      "ĠTer ra",
+      "Ke ys",
+      "Ġsle ek",
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+      "ĠG um",
+      "Ġcol ossal",
+      "ĠSh ir",
+      "aut om",
+      "ĠX i",
+      "Ġstri pe",
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+      "osp heric",
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+      "hel pers",
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+      "iv ot",
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+      "F W",
+      "s aurus",
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+      "w ax",
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+      "Ġglimps es",
+      "A W",
+      "Ġc obalt",
+      "Ġd rowned",
+      "ĠD rama",
+      "ap ters",
+      "Ġcl over",
+      "Ġsli pped",
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+      "m ph",
+      "Ġsh alt",
+      "Ġveget ative",
+      "ha ul",
+      "Ġimag inations",
+      "LO AD",
+      "Ġquarter ly",
+      "ĠDesc artes",
+      "Ġbom ber",
+      "ĠUb untu",
+      "\" âĢĶ",
+      "ĠA de",
+      "ĠR EF",
+      "ĠL ah",
+      "Ġag ar",
+      "Ġel bows",
+      "AT OR",
+      "ĠMon arch",
+      "Ġrat ification",
+      "ĠConc erns",
+      "ä» ¶",
+      "ĠIM F",
+      "ĠAbd ul",
+      "Ġwag ons",
+      "R ank",
+      "g rant",
+      "Ġch ills",
+      "Ġk o",
+      "Ġpop corn",
+      "Ġdu o",
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+      "Ġpoison ed",
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+      "Tra ditionally",
+      "Ġpropag ated",
+      "Ġartic ulation",
+      "Ġhe patic",
+      "ĠTe ens",
+      "ĠInf ant",
+      "Ġjoy ful",
+      "Ġpreced ence",
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+      "STR ING",
+      "å® ļ",
+      "adjust ed",
+      "ĠC arth",
+      "ĠD IS",
+      "Ġsim ulator",
+      "rec ated",
+      "Ġimmun os",
+      "ĠMo ist",
+      "ĠBot anical",
+      "? \".",
+      "Y ellow",
+      "Ġb udd",
+      "Ġres orts",
+      "Ġun ification",
+      "ĠHe ight",
+      "Ġdet ract",
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+      "Ġell ip",
+      "st y",
+      "ĠT ik",
+      "Ġtest ify",
+      "ĠEp iscopal",
+      "Ġsculpt or",
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+      "Ġshamp oo",
+      "> ')",
+      "mon itor",
+      "ĠBl ues",
+      "ĠSu ite",
+      "Ġhost ilities",
+      "Sp irit",
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+      "Ġdes ks",
+      "Ġpain less",
+      "Ġarm ored",
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+      "c ou",
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+      "ĠE g",
+      "ĠD EC",
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+      "ĠCont rary",
+      "rypt ed",
+      "ĠDebor ah",
+      "C ert",
+      "S ig",
+      "V IS",
+      "p hed",
+      "ĠF ont",
+      "ĠR MS",
+      "tain ers",
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+      "EL D",
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+      "å ·",
+      "ĠL af",
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+      "osp ital",
+      "Ġsex ism",
+      "ĠDav idson",
+      "sub set",
+      "Ġfav oured",
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+      "c ube",
+      "he avy",
+      "ĠC ock",
+      "ĠL ocate",
+      "ĠK ah",
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+      "Ġun know",
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+      "Ï Į",
+      "re comm",
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+      "Ġsol ub",
+      "Ġaud its",
+      "ĠCre te",
+      "ĠExper iments",
+      "ĠPur due",
+      "Ġconvenient ly",
+      "Ġbund les",
+      "Ġsprou t",
+      "ĠNam ibia",
+      "stad t",
+      "Ġpro verb",
+      "Ġpe pp",
+      "ren ame",
+      "Ġhigh lands",
+      "ĠAl mighty",
+      "\") ),",
+      "ĠJohn ny",
+      "CO VID",
+      "ĠNon fiction",
+      "Ġsulf ide",
+      "Ġanch ors",
+      "ĠParam eter",
+      "ĠAer ospace",
+      "Ġs per",
+      "Ġs led",
+      "ĠT aken",
+      "ĠM oor",
+      "Ġle agues",
+      "IT H",
+      "Ġhol iness",
+      "Ġdiscipl ined",
+      "Ġmobil ize",
+      "Ġmad ness",
+      "Ġthirst y",
+      "ĠGarc ia",
+      "S ay",
+      "Ġconf essed",
+      "ĠEn forcement",
+      "ĠZ oom",
+      "Ġcontrast ed",
+      "roc hemical",
+      "Ġresid ences",
+      "Ġhes itated",
+      "Ġber ry",
+      "Ġchron ology",
+      "Recomm ended",
+      "Ġcalend ars",
+      "d ro",
+      "ol ysis",
+      "ol ini",
+      "ff ield",
+      "land o",
+      "att acks",
+      "ĠReg arding",
+      "Enc oder",
+      "Incre asing",
+      "ĠReprodu ctive",
+      "is dir",
+      "Ġp orch",
+      "Ġr s",
+      "ĠR iv",
+      "). \"",
+      "Ġam elior",
+      "ĠRe id",
+      "Ġcare t",
+      "Ġclin ician",
+      "Ġqual ifying",
+      "Ġdeterior ate",
+      "Ġquot as",
+      "Ġunint entionally",
+      "ĠLif estyle",
+      "D ark",
+      "S und",
+      "e astern",
+      "Ġt aps",
+      "Ġwh aling",
+      "Ġ( {",
+      "Ġar cs",
+      "gan o",
+      "aw atts",
+      "Ġrep rinted",
+      "ĠSe vent",
+      "Ġmet avar",
+      "Ġpar able",
+      "for ced",
+      "Ġhorse back",
+      "Ob viously",
+      "Ed ge",
+      "Ġtransc ending",
+      "Conn ecting",
+      "ĠDent istry",
+      "ro kes",
+      "Ġu rea",
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+      "ck o",
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+      "Ġembra ces",
+      "ĠMA X",
+      "ĠNeed ed",
+      "ĠOpin ion",
+      "Ċ ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
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+      "am oto",
+      "Ġ\" *",
+      "ĠPro clamation",
+      "|| $",
+      "Ġrun ny",
+      "att ach",
+      "Se cret",
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+      "pack ed",
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+      "wh ole",
+      "sol ver",
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+      "Wed nesday",
+      "Q A",
+      "ĠS ys",
+      "ĠF alk",
+      "ĠR P",
+      "ĠR as",
+      "Ġplant ar",
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+      "Ġfate ful",
+      "neigh bors",
+      "ĠPip eline",
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+      "Ġcl umps",
+      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
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+      "Ġdomin ion",
+      "Ġmesmer izing",
+      "c redit",
+      "ĠU rugu",
+      "Ġcl ing",
+      "ĠK aw",
+      "read lines",
+      "Ġlocal ities",
+      "Ġlay ering",
+      "pred s",
+      "Ġcatch ment",
+      "host s",
+      "ĠConnect ing",
+      "ĠMot ors",
+      "ĠBase ball",
+      "Ġinspir ational",
+      "Ġf ern",
+      "ĠG au",
+      "Ġsl ain",
+      "ĠMe ans",
+      "Ġdict ator",
+      "ĠJud ges",
+      "Ġtrav ellers",
+      "idim ensional",
+      "l ain",
+      "Ġm ans",
+      "ĠS ector",
+      "ant om",
+      "Ġconf erred",
+      "Ġgovern s",
+      "oper ations",
+      "c anc",
+      "Ġd azz",
+      "ĠA ctions",
+      "ĠA SE",
+      "ĠB org",
+      "ĠN atal",
+      "Ġcol itis",
+      "class ified",
+      "é r",
+      "Ġpoly phen",
+      "ĠCand ida",
+      "Ġavoc ados",
+      "ĠClaud e",
+      "Ġdecipher ing",
+      "N OW",
+      "à ½",
+      "ĠA W",
+      "ĠW S",
+      "ĠY a",
+      "Ġdet ain",
+      "Ġconf ess",
+      "ival ry",
+      "sp in",
+      "Ġing rained",
+      "Ġsuc rose",
+      "d ollar",
+      "Ġb uddy",
+      "Ġl l",
+      "ri am",
+      "Ġun born",
+      "ond yl",
+      "Ġsil hou",
+      "Ġdoubt ful",
+      "uis ines",
+      "ĠÙ ħ",
+      "Ġantiv irus",
+      "Ġclog ged",
+      "Ġk W",
+      "Ġkit tens",
+      "ĠTre k",
+      "ĠAstron omical",
+      "Ġrept ile",
+      "Ġpige on",
+      "odef iciency",
+      "K ind",
+      "N M",
+      "al ert",
+      "ad ier",
+      "Ġup front",
+      "ob yl",
+      "Ġbo ils",
+      "Ġextra vag",
+      "Ġmaxim al",
+      "Ġstam ina",
+      "Ġaneur ys",
+      "× ª",
+      "Ġun biased",
+      "int ellig",
+      "ĠCh rys",
+      "Ġ[ ...]",
+      "Ġdelay ing",
+      "ĠHard y",
+      "Ġinjust ices",
+      "c ans",
+      "Ġh olog",
+      "Ġan us",
+      "ist on",
+      "ĠH F",
+      "Ġat rophy",
+      "Ġwill ingly",
+      "Ġorgan ically",
+      "Ġsl ack",
+      "Ġwid ening",
+      "ĠPres idents",
+      "Ġsold er",
+      "la us",
+      "ĠTun isia",
+      "c rypt",
+      "h d",
+      "Ö ·",
+      "Ġd ilation",
+      "ist or",
+      "ant ial",
+      "Ġsp asms",
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+      "pro bs",
+      "Ġdest abil",
+      "ĠCont rovers",
+      "oll s",
+      "ĠBar rett",
+      "anch or",
+      "Ġthor acic",
+      "Qu ick",
+      "OP T",
+      "F acts",
+      "ĠCom mod",
+      "ĠArt em",
+      "ĠHigh ly",
+      "Ġstir red",
+      "Wra pper",
+      "C AR",
+      "v re",
+      "ĠC AT",
+      "Ġpur ify",
+      "public ations",
+      "ĠRou ge",
+      "S aint",
+      "Ġd ia",
+      "st ay",
+      "Ġl st",
+      "ter r",
+      "Ġbas alt",
+      "Ġve il",
+      "ST ART",
+      "Ġcapac itors",
+      "ĠFund amentals",
+      "Mon itor",
+      "Ġorch ard",
+      "Ġlav ish",
+      "Ġdiscontin ued",
+      "ĠJess ica",
+      "G ar",
+      "on ance",
+      "Ġsuggest ive",
+      "duct ors",
+      "Ġdeb ating",
+      "Ġcoff in",
+      "------------ --",
+      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
+      "Ġceil ings",
+      "ĠO ber",
+      "man aged",
+      "sh uffle",
+      "ser vers",
+      "umin ous",
+      "ĊĠĠĠĠĠĠĠĠĠĠĠĠ ĊĠĠĠĠĠĠĠ",
+      "Ġrepet itions",
+      "Ġchat ting",
+      "iret roviral",
+      "F ER",
+      "| \"'",
+      "le in",
+      "ig ail",
+      "ĠS ick",
+      "Ġun l",
+      "ĠCh ic",
+      "ĠRe ve",
+      "atic a",
+      "ops ies",
+      "gra ce",
+      "ĠExp and",
+      "Ġpollut ant",
+      "ĠLes lie",
+      "p ict",
+      "ĠB MC",
+      "num s",
+      "Ġintim idation",
+      "åŃ Ĺ",
+      "Ġbloss om",
+      "atto os",
+      "t ie",
+      "Ġl of",
+      "Ġst derr",
+      "Ġal f",
+      "ĠCom fort",
+      "Ġequ ine",
+      "ĠCommun ism",
+      "lo an",
+      "и ÑĤ",
+      "Ġshowc ased",
+      "Ġtheat rical",
+      "h ru",
+      "Ġo ps",
+      "Ġf erns",
+      "ĠS ug",
+      "Ġch ir",
+      "ĠF IT",
+      "Ġsim ulating",
+      "Ġnatural ist",
+      "ĠAss ist",
+      "ĠQu aker",
+      "ĠPart ner",
+      "sol id",
+      "Ġconservation ists",
+      "ĠHum ph",
+      "Ġgro oves",
+      "ĠHimal ayan",
+      "ĠAttribute Error",
+      "H all",
+      "| âĢ¢",
+      "ag ia",
+      "ass adors",
+      "Ġbl ister",
+      "ÑĢ е",
+      "s alt",
+      "Ġm un",
+      "Ġcre m",
+      "place holder",
+      "ĠMar ks",
+      "ĠPart icularly",
+      "ĠMy SQL",
+      "ĠWW F",
+      "Ġcabin ets",
+      "ĠPerman ent",
+      "C ra",
+      "it ization",
+      "ĠB ub",
+      "Ġat las",
+      "Ġind ist",
+      "irs ch",
+      "Ġgro ove",
+      "Tim my",
+      "Ġbrack et",
+      "h ref",
+      "Ġg h",
+      "Ġwh ichever",
+      "ĠJ ar",
+      "Ġfl ats",
+      "ĠAtt ributes",
+      "Ġpit ches",
+      "ĠCounsel ing",
+      "a illes",
+      "ĠN ano",
+      "Ġun imag",
+      "ĠY iddish",
+      "ier i",
+      "Ġdiver ted",
+      "ĠEN D",
+      "ĠPharm aceutical",
+      "ul ae",
+      "ĠB arr",
+      "red uction",
+      "Ġwork book",
+      "ĠUn iv",
+      "Ġhy pe",
+      "Ġlow land",
+      "ĠPer ception",
+      "Ġax ial",
+      "ĠOut er",
+      "Ġmoist ur",
+      "Ġnour ish",
+      "E ll",
+      "o cean",
+      "y x",
+      "en ics",
+      "al ty",
+      "ĠA mer",
+      "ĠW rong",
+      "Ġprom oter",
+      "Ġarch aic",
+      "Ġtransl ators",
+      "ĠFried man",
+      "ĠA u",
+      "ĠS iberian",
+      "ud ding",
+      "IS M",
+      "Ġcoll age",
+      "Ġord inance",
+      "ĠPaul o",
+      "ĠKim ber",
+      "ĠConvers ation",
+      "Ġassass inated",
+      "Ġarist ocracy",
+      "Ġimperfect ions",
+      "h h",
+      "p ossible",
+      "ro bat",
+      "il us",
+      "Ġsp un",
+      "arm an",
+      "ĠMar vel",
+      "ĠMon etary",
+      "cast s",
+      "Control Plane",
+      "ĠJur assic",
+      "Ġfreel ance",
+      ") =",
+      "f ur",
+      "Ġs cept",
+      "qu art",
+      "Ġr ipple",
+      "Ġimp uls",
+      "int roduction",
+      "Ġgl ued",
+      "Ġnight mares",
+      "Ġrecycl able",
+      "Ġwing ed",
+      "NE W",
+      "ĠVoy ager",
+      "ĠHundred s",
+      "' ;",
+      "Ġl ia",
+      "ĠD ensity",
+      "cl air",
+      "Ġret reated",
+      "Ġign ited",
+      "Ġmir rored",
+      "Pre process",
+      "Ġtor so",
+      "omon as",
+      "Ġrecru its",
+      "Ġfibr illation",
+      "fif th",
+      "ĠGust av",
+      "G round",
+      "I ENT",
+      "ĠB atch",
+      "Ġch uck",
+      "ĠL L",
+      "Ġ__ _",
+      "mar king",
+      "-------------------------------- ----",
+      "ĠBo ost",
+      "Ġboost ed",
+      "ĠProv incial",
+      ".âĢĻ âĢĿ",
+      "Ġanticip ating",
+      "ĠImm ig",
+      "Ġenthusi astically",
+      "ocyt osis",
+      "Ġn autical",
+      "Ġmat tered",
+      "Ġcompl iment",
+      "Ġperm afrost",
+      "abs orb",
+      "Ġtransc ribed",
+      "edu ct",
+      "ĠPur itan",
+      "!! !!",
+      "ĠFull er",
+      "Ġasym metric",
+      "serial ize",
+      "E at",
+      "æ Ķ",
+      "or iously",
+      "Ġsu cking",
+      "pt ide",
+      "ĠG S",
+      "Ġra z",
+      "Ġdeterm inant",
+      "Ġfire wood",
+      "ĠNot re",
+      "trans port",
+      "Ġaffirm ed",
+      "R D",
+      "Ġon ward",
+      "ĠR J",
+      "Ġimp etus",
+      "ĠAn k",
+      "inter rupted",
+      "Ġrev ising",
+      "ĠMedic ations",
+      "Ġinvent ing",
+      "Ġcontamin ate",
+      "ĠKos ovo",
+      "as mod",
+      "ĠT uc",
+      "\") [",
+      "Ġlymph ocytes",
+      "C ook",
+      "Ġf s",
+      "Ġro ast",
+      "Ġfl ipping",
+      "ĠZ am",
+      "ĠEm otion",
+      "Com mercial",
+      "ĠSn ap",
+      "ĠFitz gerald",
+      "z ee",
+      "th als",
+      "Ġsmo othing",
+      "ĠBh ag",
+      "ĠHoriz on",
+      "ĠNit rogen",
+      "Ġparch ment",
+      "Ġch urn",
+      "ĠR EP",
+      "ich t",
+      "Ġcr ashing",
+      "hyd ration",
+      "Ġexert ion",
+      "ĠSav annah",
+      "Plane Protection",
+      "Management PlaneProtection",
+      "Ġabnorm ality",
+      "Sov iet",
+      "ĠB oot",
+      "ĠH ann",
+      "Ġdis section",
+      "Ġcar ve",
+      "Ġcaus ality",
+      "Ġland ings",
+      "ĠApost les",
+      "Ġlandl ord",
+      "Ġs s",
+      "Ġbe aver",
+      "ad ay",
+      "Ġan ode",
+      "Ġcap itals",
+      "ĠOut door",
+      "TO KEN",
+      "Ġshar pen",
+      "Commun ication",
+      "m ills",
+      "y ms",
+      "ill aries",
+      "Ġcomm its",
+      "ĠInter ventions",
+      "uit ively",
+      "ĠForm al",
+      "idx s",
+      "Ġtant al",
+      "Ġs esame",
+      "ĠA ve",
+      "ĠF ault",
+      "pre c",
+      "osa ics",
+      "ca used",
+      "ĠAnn ie",
+      "ĠAdapt ive",
+      "ĠPack age",
+      "F arm",
+      "f inger",
+      "o ge",
+      "ĠM K",
+      "ĠN ietzsche",
+      "ĠG MO",
+      "ind eer",
+      "collect ions",
+      "Ġanonym ity",
+      "e i",
+      "j ava",
+      "r n",
+      "ĠH ang",
+      "ĠL ik",
+      "ract ive",
+      "ĠPh ar",
+      "Ġfre q",
+      "Ġfract uring",
+      "ĠAdminist rative",
+      "account s",
+      "ĠQuant itative",
+      "Ġupgrad ing",
+      "čĊĠĠĠĠĠĠĠĠ čĊĠĠĠĠĠĠĠ",
+      "Ġre inst",
+      "ĠS AD",
+      "Ġread ability",
+      "Ġimm oral",
+      "Ġsum med",
+      "Ġassign s",
+      "rum s",
+      "ĠFre em",
+      "ĠPet roleum",
+      "contin ue",
+      "Ġhes itant",
+      "ĠGP IO",
+      "ĠAz ure",
+      "Ġtremend ously",
+      "ĠUtt ar",
+      "Ġg hetto",
+      "Ġsl ips",
+      "ĠFound ing",
+      "Sim ply",
+      "åIJ į",
+      "Ġp id",
+      "Ġf i",
+      "Ġe ve",
+      "ĠR ust",
+      "Ġeven ings",
+      "ĠVer ify",
+      "Ġpolar ized",
+      "Ġbol sters",
+      "F air",
+      "t rig",
+      "v ig",
+      "ĠG ale",
+      "lect ions",
+      "Ġrec ite",
+      "Ġbr ine",
+      "ĠDe pt",
+      "Ġplant ings",
+      "sp read",
+      "hel f",
+      "rec v",
+      "Ġspl ash",
+      "Ġincent iv",
+      "Ġsty lish",
+      "ĠHttp Response",
+      "d rained",
+      "Ġt sp",
+      "at eness",
+      "Ġcl utch",
+      "ys cale",
+      "ĠV ertical",
+      "Ġgrow ths",
+      "ĠAr bor",
+      "ĠRep air",
+      "Ġvalu ing",
+      "Ġswim mers",
+      "Ġcycl one",
+      "relations hip",
+      "Ġdisgu ise",
+      "Ġinsol uble",
+      "J o",
+      "re ports",
+      "ĠT ig",
+      "ĠM am",
+      "ĠF requent",
+      "ript ive",
+      "Ġvolunt eered",
+      "ĠDec isions",
+      "Ġdecor ating",
+      "Ġregister ing",
+      "uv re",
+      "Ġslic ing",
+      "Ġorch ards",
+      "Ġspor adic",
+      "Incorpor ating",
+      "C op",
+      "m asks",
+      "Ġd c",
+      "ĠC yn",
+      "Ġtrans missions",
+      "ĠCall able",
+      "ĠAud ubon",
+      "ĠEuro pa",
+      "kill ers",
+      "ĠA Z",
+      "Ġex iled",
+      "Ġv ou",
+      "Ġcre eping",
+      "bi osis",
+      "ĠExp anding",
+      "Ġmicrobi ology",
+      "ĠJere my",
+      "ĠAdela ide",
+      "ĠE b",
+      "str ate",
+      "rap ers",
+      "dis cipline",
+      "ĠWW I",
+      "Interface Selection",
+      "Ġe uth",
+      "ĠS amples",
+      "Ġsub way",
+      "erc ase",
+      "Ġvol s",
+      "Ġpred ic",
+      "Ġcapt ions",
+      "ĠAnt ig",
+      "Ġinterpret ive",
+      "ĠLatin os",
+      "fast q",
+      "cut aneous",
+      "Ġlocom otives",
+      "Ġapprentices hip",
+      "M W",
+      "w av",
+      "aut ics",
+      "Ġpred icate",
+      "ĠMac millan",
+      "ĠHome work",
+      "ĠImport Error",
+      "Ġster ilization",
+      "Ġoct opus",
+      "Que en",
+      "m ur",
+      "t rip",
+      "ĠS aid",
+      "ĠM ush",
+      "ĠV ital",
+      "Ġpost modern",
+      "ĠInst ructions",
+      "ĠBel ieve",
+      "ĠHaw k",
+      "Ġhydroc arbon",
+      "ĠRevere nd",
+      "K n",
+      "] {",
+      "Ġne bul",
+      "Ġup bringing",
+      "ox ia",
+      "oper ability",
+      "Ġpharmac ological",
+      "= âĢĿ",
+      "t ur",
+      "Ġstand alone",
+      "Aut om",
+      "ĠWat ts",
+      "J am",
+      "R ain",
+      "ĠH ib",
+      "ĠD L",
+      "ĠG w",
+      "Ġdis integ",
+      "ten ant",
+      "Ġinter related",
+      "ick ers",
+      "Ġfollow er",
+      "Ġens ued",
+      "ĠDi wali",
+      "ĠPil ot",
+      "ĠEle phant",
+      "runt ime",
+      "um ines",
+      "pt ive",
+      "ĠLe ib",
+      "AD E",
+      "ĠWork place",
+      "ĠLead ing",
+      "Expl ain",
+      "Ġpa used",
+      "Ġburst ing",
+      "Ġredist ribution",
+      "Ġphy toplankton",
+      "ĠF ischer",
+      "Ġindex ing",
+      "His panic",
+      "ĠAccount s",
+      "ĠMos que",
+      "Ġcarcin ogenic",
+      "ĠInflu enza",
+      "Rad io",
+      "Ġchees es",
+      "ĠUran us",
+      "Ġp ing",
+      "ĠC erv",
+      "Ġ' *",
+      "Con tainer",
+      "Ġvill ain",
+      ">> >",
+      "ĠPries t",
+      "Ġpeb bles",
+      "b reat",
+      "h ak",
+      "Ġprov ocative",
+      "ond ers",
+      "Ġtrans genic",
+      "ier re",
+      "Ġnavig ated",
+      "See ing",
+      "Ġtor rent",
+      "Whe never",
+      "Fr anc",
+      "T orch",
+      "x r",
+      "Ġa iding",
+      "ig ators",
+      "âĢĵ âĢĵ",
+      "Ġspecial ties",
+      "ĠDr um",
+      "Ġviol ates",
+      "ĠHol iday",
+      "ĠAngel a",
+      "Em ploy",
+      "Ġspong es",
+      "ĠL ama",
+      "Ġfoot ing",
+      "Ġstimul ant",
+      "ĠInit iatives",
+      "Ġrational ity",
+      "Ġtroubles ome",
+      "ar ck",
+      "Ġve c",
+      "cal orie",
+      "ĠBur mese",
+      "Ġunint entional",
+      "Ġlocom otive",
+      "m ilk",
+      "ĠS odium",
+      "ĠR L",
+      "St ructure",
+      "ED IT",
+      "Ġexperiment ally",
+      "Ad vantages",
+      "ĠSus sex",
+      "á¹ Ń",
+      "ĠZion ist",
+      "Ġgrocer ies",
+      "er re",
+      "ĠR if",
+      "ru ff",
+      "=' ')",
+      "Ġpref rontal",
+      "ĠAng ola",
+      "ĠCam eroon",
+      "Ġrose mary",
+      "Ġfut uristic",
+      "^^ ^^",
+      "ĠTheore m",
+      "Ġfor ge",
+      "Ch icago",
+      "ES A",
+      "ĠX IV",
+      "Ġviol ently",
+      "exper ienced",
+      "ĠIceland ic",
+      "ĠMaur ice",
+      "Effect s",
+      "m ouse",
+      "Ġar throp",
+      "bers pace",
+      "Ġmult im",
+      "rad io",
+      "men opausal",
+      "wind ows",
+      "ĠHead quarters",
+      "Ġslight est",
+      "Ġreim burse",
+      "ĠT issue",
+      "als a",
+      "ĠNew castle",
+      "inst ru",
+      "Rep ublic",
+      "t ell",
+      "ip us",
+      "olog ia",
+      "() }",
+      "Ġmicrosc opes",
+      "Ġware houses",
+      "z an",
+      "em phas",
+      "ĠD il",
+      "Ġsubsid y",
+      "ĠVari ations",
+      "u en",
+      "ĠR ect",
+      "per f",
+      "ins ically",
+      "Ġrep uted",
+      "Ġconn otations",
+      "ĠApp eal",
+      "Ġsen ator",
+      "ĠIns ights",
+      "Ġjuris prudence",
+      "Ġdiscount ed",
+      "Ġdeter rent",
+      "Ġsalv age",
+      "Ġdispat ched",
+      "ĠC ream",
+      "ass uming",
+      "Ġatt est",
+      "ĠSh adow",
+      "Ġassess es",
+      "current ly",
+      "Su ggest",
+      "Ġmos ques",
+      "ĠMand arin",
+      "ĠProper ly",
+      "Ġmetaph ysics",
+      "ĠR ican",
+      "ĠN erv",
+      "ĠO re",
+      "Ġsp ars",
+      "Ġinterpre ters",
+      "Ġ\\ '",
+      "ĠRel ax",
+      "ĠSer bian",
+      "Ġtrace back",
+      "ĠVenet ian",
+      "Ġbittern ess",
+      "L inks",
+      "Ñ Ī",
+      "Ġt onic",
+      "Ġmon oc",
+      "weight ed",
+      "Ġshred ded",
+      "Mex ico",
+      "M obile",
+      "r nn",
+      "Ġb aff",
+      "ic ists",
+      "Ġth orn",
+      "pr inc",
+      "ĠSh aron",
+      "ĠMac Arthur",
+      "Us age",
+      "Ġkil ow",
+      "åı ¯",
+      "ĠDocument ation",
+      "Ġimplant ation",
+      "Ġquir ky",
+      "Prep are",
+      "g ie",
+      "ç §",
+      "ĠT ED",
+      "Ġunder graduates",
+      "ĠV il",
+      "add ers",
+      "find all",
+      "Ġreson ated",
+      "Ġextraord inarily",
+      "Ġtang ent",
+      "ĠTerm inal",
+      "ĠFoot ball",
+      "Ġhydrox ide",
+      "alys es",
+      "F IX",
+      "r st",
+      "Ġre affirm",
+      "ry n",
+      "Ġstere o",
+      "Ġfraction al",
+      "ĠDE FAULT",
+      "ĠRF ID",
+      "K B",
+      "ĠI st",
+      "ant es",
+      "Ġen cyclop",
+      "pl and",
+      "ĠAn not",
+      "Ġcor pse",
+      "ĠLe ices",
+      "Ġer otic",
+      "Ġroad map",
+      "Ġpet ty",
+      "ĠHand ling",
+      "card ia",
+      "ot ypical",
+      "ĠB ott",
+      "ru ck",
+      "Ġk Hz",
+      "Ġar ctic",
+      "ci us",
+      "Ġbet ting",
+      "ĠShe ets",
+      "и Ñı",
+      "Ġenorm ously",
+      "ॠĢ",
+      "ĠComment ary",
+      "Ġdisgu ised",
+      "u j",
+      "ĠF ork",
+      "ĠEm ir",
+      "Ġste amed",
+      "ĠRef er",
+      "Ġinhib itory",
+      "anth a",
+      "Ġna ive",
+      "Cong ress",
+      "ĠBed ford",
+      "Ġrepell ent",
+      "F if",
+      "R ot",
+      "R untime",
+      "ĠT ABLE",
+      "ĠH orses",
+      "Ġne b",
+      "Ġqu aint",
+      "ne ck",
+      "Ġmem o",
+      "app ropri",
+      "ĠEx hib",
+      "Sp in",
+      "Ġunrest ricted",
+      "W ORK",
+      "w i",
+      "ol ite",
+      "igh am",
+      "Ġat ypical",
+      "min utes",
+      "Ġconc ur",
+      "ĠSc al",
+      "fact ors",
+      "Ġ/ =",
+      "ĠReg ions",
+      "gl ades",
+      "Ġaffili ations",
+      "ĠSens ory",
+      "Ġattent ively",
+      "pars ed",
+      "m L",
+      "Ġf ringe",
+      "ĠN Z",
+      "ĠG amb",
+      "ep isode",
+      "ros se",
+      "ĠIN TO",
+      "Ġgor illas",
+      "ĠIroqu ois",
+      "F all",
+      "Ġprom ul",
+      "Ġbal con",
+      "log ical",
+      "Ġrecount s",
+      "Ġcowork ers",
+      "M att",
+      "x ious",
+      "è §",
+      "ĠR af",
+      "Ġsc anners",
+      "Ġsub lime",
+      "ask an",
+      "object ive",
+      "Ġgel atin",
+      "ĠT ac",
+      "Ġbe acon",
+      "Ġdon ating",
+      "augh tered",
+      "bo ys",
+      "Ġrobust ness",
+      "ĠInteg rity",
+      "ĠNep h",
+      "Prov ide",
+      "ĠCrom well",
+      "C it",
+      "m x",
+      "ad ia",
+      "ĠB J",
+      "are z",
+      "ĠRe call",
+      "gg ish",
+      "Ġop ium",
+      "Ġobs essed",
+      "Ġacqu isitions",
+      "ĠTH AT",
+      "N ic",
+      "P TSD",
+      "t olerant",
+      "ĠB es",
+      "ĠJ P",
+      "ĠSt ere",
+      "com pliance",
+      "Ġeffect ed",
+      "ateg ies",
+      "Ġvo iced",
+      "ĠGra ves",
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+      "v or",
+      "Ġph araoh",
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+      "he tti",
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+      "Ġtorped o",
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+      "ĠDh arma",
+      "Cath olic",
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+      "ĠHigh land",
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+      "Ġindiff erence",
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+      "het amine",
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+      "Ġstabil ized",
+      "ĠRain bow",
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+      "Ġprov isional",
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+      "ĠE ras",
+      "ĠOr deredDict",
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+      "l io",
+      "il and",
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+      "ĠF irm",
+      "ph ans",
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+      "ĠSm ooth",
+      "Per cent",
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+      "Ġsymbol ized",
+      "Willi ams",
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+      "ĠIn termediate",
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+      "ĠDra ke",
+      "ĠTun nel",
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+      "ill usion",
+      "ĠE zekiel",
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+      "Ġexport ing",
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+      "Ġpit ched",
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+      "he on",
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+      "Ġs ip",
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+      "Ġ( #",
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+      "ĠV ia",
+      "Ġwater color",
+      "Ġiss u",
+      "---------------- -----",
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+      "Ġbad ges",
+      "Ġcold est",
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+      "ĠE du",
+      "Ġele venth",
+      "Ġant iques",
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+      "Ġby product",
+      "Ġwas hes",
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+      "ĠNe hru",
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+      "Ġm ash",
+      "Ġed its",
+      "Ġpar ishes",
+      "Ġhand out",
+      "Ġwild flowers",
+      "Ġborrow er",
+      "Ġvest ibular",
+      "ĠAlban ia",
+      "Ġpes ky",
+      "B us",
+      "C hat",
+      "D N",
+      "M AT",
+      "[ \\",
+      "ç ¬",
+      "Ġf ountains",
+      "Ġst roll",
+      "Ġ( :",
+      "op ens",
+      "ĠD AR",
+      "pl astics",
+      "ĠCh arg",
+      "Ġdef ences",
+      "Ġhome opathic",
+      "Ġlot us",
+      "Ġcool ant",
+      "ingu ishable",
+      "Ġpump kins",
+      "charg ing",
+      "Ġapost le",
+      "c ats",
+      "re b",
+      "ud ging",
+      "Ġav al",
+      "inter p",
+      "Ġsed ation",
+      "Ġathlet ics",
+      "ĠPot assium",
+      "ä t",
+      "Ġexagger ation",
+      "ĠSent inel",
+      "ĠMoroc can",
+      "Ġcheer ful",
+      "Ġvamp ire",
+      "T OP",
+      "c oded",
+      "Ġpower ing",
+      "Ch urch",
+      "Ġrect al",
+      "ĠKat z",
+      "Ġgreed y",
+      "Ġegal itarian",
+      "Ñ Ħ",
+      "he ets",
+      "Ġc og",
+      "Ġab err",
+      "Ġhealth iest",
+      "Ġsw ab",
+      "ĠPer th",
+      "ĠVol ta",
+      "ĠSk ype",
+      "ĠBre eding",
+      "Ġн а",
+      "ĠGD PR",
+      "M il",
+      "t rees",
+      "Ġres usc",
+      "Ġev ade",
+      "hor a",
+      "AN GE",
+      "Ġing esting",
+      "Ġpick up",
+      "ref lect",
+      "Ġgenes is",
+      "Ġclick ed",
+      "Ġpra iries",
+      "Ġwars hips",
+      "Ġhemorrh age",
+      "D OWN",
+      "ĠS UP",
+      "ĠW inc",
+      "ĠD ot",
+      "ĠL ars",
+      "Ġra isins",
+      "Ġdi pping",
+      "Ġair tight",
+      "Ġskill ful",
+      "ĠMot ivation",
+      "ĠGuid eline",
+      "Ġprag mat",
+      "Diagn osis",
+      "w rights",
+      "Ġh og",
+      "ig ated",
+      "Ġinc in",
+      "ĠPar agraph",
+      "su ited",
+      "AC A",
+      "ĠRem oving",
+      "sub s",
+      "Ġnerv osa",
+      "Ġgau ges",
+      "ĠPeriod ic",
+      "c apture",
+      "Ġw oke",
+      "or ce",
+      "Ġb ows",
+      "ce il",
+      "ĠC able",
+      "ĠC oin",
+      "ĠL H",
+      "eth ics",
+      "normal ized",
+      "Em pty",
+      "Ġhang s",
+      "arbon ate",
+      "Ġdelib eration",
+      "Ġunexpl ored",
+      "WAR NING",
+      "C trl",
+      "o ises",
+      "Ġp db",
+      "ĠS eth",
+      "ĠN ah",
+      "Ġ= ================================================================",
+      "ĠG olf",
+      "cl ub",
+      "ph osphate",
+      "ob acillus",
+      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "(' .')",
+      "Ġmakes hift",
+      "num eric",
+      "ĠAc upuncture",
+      "Ġimmun otherapy",
+      "Ġtough ness",
+      "Ġcub s",
+      "Ġstack ing",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ĠMét is",
+      "L it",
+      "W ay",
+      "ĠM BA",
+      "Ġbl oc",
+      "cept ible",
+      "Ġconf luence",
+      "Ġsol itude",
+      "Ġside walks",
+      "Ġfile path",
+      "amin o",
+      "ĠChe ese",
+      "ĠSent ence",
+      "c aps",
+      "Ġa isle",
+      "Ġp aws",
+      "Ġn ib",
+      "ĠR G",
+      "ĠY og",
+      "ĠY ard",
+      "Ġutil itarian",
+      "asp hem",
+      "TR ACT",
+      "Ġalleg ory",
+      "ĠCru c",
+      "Ġasym metry",
+      "Ġacre age",
+      "Altern atively",
+      "M as",
+      "M ale",
+      "S ustainable",
+      "c ox",
+      "ĠM ice",
+      "ĠG rants",
+      "Ġset back",
+      "Ġrep arations",
+      "ĠBe er",
+      "ĠGe ophysical",
+      "ister ia",
+      "Gold en",
+      "Ġelectroc hemical",
+      "Ġcrocod ile",
+      "Ġretin opathy",
+      "Ġassembl age",
+      "Ġs sh",
+      "Ġby products",
+      "ĠDef iciency",
+      "ĠAnaly tical",
+      "Ġindef inite",
+      "Ġspectrom etry",
+      "ĠIber ian",
+      "Ġbould ers",
+      "N W",
+      "h ake",
+      "Ġa eration",
+      "Ġc radle",
+      "Ġu v",
+      "Ġnot ch",
+      "Ġpl under",
+      "Ġdis claimer",
+      "ĠV iv",
+      "ĠSu pper",
+      "Ġblock ers",
+      "Ġdro ppings",
+      "ĠJour nals",
+      "Leg al",
+      "renew able",
+      "c map",
+      "e velop",
+      "Ġh p",
+      "st ocks",
+      "__ ))",
+      "Ġris king",
+      "min i",
+      "enn es",
+      "Ġmicro controller",
+      "Ġrot ting",
+      "ipher al",
+      "ĠConcept ual",
+      "ĠCrus ades",
+      "Ġhort iculture",
+      "ĠRac ism",
+      "Ġrefriger ant",
+      "J S",
+      "O l",
+      "w l",
+      "re action",
+      "ĠD oor",
+      "ĠF letcher",
+      "ĠG MT",
+      "we ak",
+      "ĠY or",
+      "Ġmed itate",
+      "Ġvirtual ization",
+      "ĠLim a",
+      "Ġye ah",
+      "Ġacet aminophen",
+      "Ġeukary otic",
+      "Ġqui eter",
+      "Ġcondu it",
+      "ĠDion ys",
+      "d as",
+      "m orph",
+      "Ġmult idimensional",
+      "ĠEn um",
+      "Com pan",
+      "const raint",
+      "Pl ate",
+      "mask ed",
+      "('/ ')",
+      "Ġdomest ication",
+      "n z",
+      "s udo",
+      "ĠA SS",
+      "Ġan em",
+      "ĠL um",
+      "Ġk ite",
+      "Ġman ic",
+      "Ġinter cultural",
+      "play ed",
+      "ĠCons istent",
+      "Ġhop ping",
+      "Ġmeth anol",
+      "Sub st",
+      "Ġinspect ors",
+      "Ġvert igo",
+      "ĠMong ols",
+      "Ġconsec rated",
+      "Prov ider",
+      "ĠSens itivity",
+      "ĠStew ardship",
+      "t ro",
+      "Ġde formed",
+      "âĢĻ :",
+      "Ġpl unge",
+      "Ġun official",
+      "Ġsub divided",
+      "ĠBi har",
+      "ĠInv asive",
+      "Ġshut ting",
+      "car otene",
+      "Second ary",
+      "Ġrepublic an",
+      "ĠPartners hips",
+      "ĠStre ets",
+      "Ġforesee able",
+      "D ogs",
+      "F riends",
+      "F requently",
+      "d or",
+      "t ouch",
+      "Ġd osing",
+      "ĠH C",
+      "ĠW TO",
+      "Ġli king",
+      "ĠGu pta",
+      "Ġroad way",
+      "α ÏĦ",
+      "Know n",
+      "ĠCos m",
+      "Ġje ans",
+      "Ġwip ing",
+      "XXXX XXXX",
+      "Ġsuperst ition",
+      "Ġsanction ed",
+      "Ġfaç ade",
+      "ĠW aves",
+      "Ġle ve",
+      "ĠG ym",
+      "Ġborrow ers",
+      "Ġexh ale",
+      "gard e",
+      "Ġfaire r",
+      "F er",
+      "f ection",
+      "the llo",
+      "Ident ity",
+      "ĠCole man",
+      "ĠRodrig uez",
+      "Ġin numerable",
+      "se at",
+      "ĠE SP",
+      "Ġle aked",
+      "Ġdis illusion",
+      "ĠSt amp",
+      "comp ress",
+      "App ro",
+      "Ġfertil ize",
+      "Ġanthrop ological",
+      "ĠMarsh al",
+      "ĠMos he",
+      "ĠThreat ened",
+      "ĠPlatform s",
+      "E asy",
+      "Ġd urations",
+      "th orne",
+      "ĠW ade",
+      "pl og",
+      "Ġun consciously",
+      "the ws",
+      "ĠKe ynes",
+      "div isions",
+      "Hand le",
+      "Ut il",
+      "ĠBL M",
+      "ĠTuc son",
+      "m oves",
+      "ar ative",
+      "Ġn ave",
+      "ĠR V",
+      "ĠK od",
+      "Ġdef ender",
+      "man age",
+      "Ġbar racks",
+      "Ġvill ains",
+      "Ġplain ly",
+      "ĠEV s",
+      "Ġsurf aced",
+      "Ġinduct ive",
+      "ĠPUR POSE",
+      "v ah",
+      "Ġso ot",
+      "Ar r",
+      "ĠInter state",
+      "Ġclim bers",
+      "Ġnone x",
+      "Ġmold ed",
+      "bour g",
+      "Ġoverse es",
+      "respons ive",
+      "ĠVed as",
+      "Ġsurrog ate",
+      "c overing",
+      "Ġb ordered",
+      "ĠS EL",
+      "ĠP ablo",
+      "ĠArab idopsis",
+      "ĠCir cular",
+      "rots ky",
+      "ĠHab it",
+      "ĠEur asia",
+      "D ictionary",
+      "ĠT omb",
+      "qu iring",
+      "Ġne cks",
+      "Ġdis ordered",
+      "Ġj ohn",
+      "ĠSt o",
+      "other mia",
+      "gen ome",
+      "Ġfour teenth",
+      "ĠShe ep",
+      "SS L",
+      "ä¸ Ĭ",
+      "Ġampl ifiers",
+      "н Ñĭ",
+      "predict ed",
+      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "Ġabol ish",
+      "Ġanth rax",
+      "confirm ed",
+      "Ġmortg ages",
+      "D in",
+      "l iquid",
+      "Ġw reat",
+      "ib ou",
+      "Ġsub continent",
+      "ĠAr sen",
+      "ĠEm pty",
+      "Ġcombat ting",
+      "Ġplug ins",
+      "Ġcann ib",
+      "Ġpsychiat rists",
+      "yt ocin",
+      "ĠRa ising",
+      "ĠBrun o",
+      "ĠThreat s",
+      "Ġcarc asses",
+      "Ġb ots",
+      "st a",
+      "ig ible",
+      "ĠH og",
+      "ĠJ E",
+      "ĠY om",
+      "Ġmod erated",
+      "Ġwood pec",
+      "Ġsusp end",
+      "ĠParliament ary",
+      "anas ia",
+      "Ġgrape fruit",
+      "av as",
+      "sc ipy",
+      "idel berg",
+      "warn ings",
+      "Ġstair case",
+      "ĠMahar ashtra",
+      "S and",
+      "w alking",
+      "Ġv ase",
+      "ĠB rom",
+      "ĠU AE",
+      "ĠAb normal",
+      "atur ation",
+      "ĠDi ary",
+      "UR I",
+      "FT A",
+      "æľ ¬",
+      "ä½ ľ",
+      "ĠMut ual",
+      "ĠAuthent ication",
+      "ĠKE Y",
+      "ĠB IM",
+      "ap ur",
+      "und ing",
+      "ĠAd ri",
+      "ĠCol our",
+      "IC H",
+      "ĠAnt ony",
+      "Ġson ic",
+      "abil istic",
+      "ĠBoy d",
+      "Ġosm osis",
+      "ĠPhar ise",
+      "c nn",
+      "ur geon",
+      "ke rel",
+      "Ġsp indle",
+      "Ġcomm ute",
+      "Ġind iscrim",
+      "ov sk",
+      "Ġnum erals",
+      "Ġur i",
+      "fil ms",
+      "Pot ential",
+      "ĠSurround ing",
+      "T ax",
+      "Ġt onal",
+      "âĢ ļ",
+      "ĠW atching",
+      "ĠL ICENSE",
+      "ĠG an",
+      "ĠGen et",
+      "Ġhaz el",
+      "Ġtribut ary",
+      "n od",
+      "Ġad verb",
+      "olog ne",
+      "Ġmal adaptive",
+      "ĠAssess ments",
+      "Ġdele ting",
+      "Ġbru ising",
+      "Ġhaw k",
+      "d B",
+      "m ene",
+      "y rus",
+      "ĠS py",
+      "ad vent",
+      "ĠD V",
+      "red dit",
+      "ec ological",
+      "St one",
+      "(\" .",
+      "Ġfore arm",
+      "Ġlif etimes",
+      "ĠHer bal",
+      "sl ope",
+      "AMP LE",
+      "ĠLeices ter",
+      "Ġordin ances",
+      "H CR",
+      "h ai",
+      "t v",
+      "en act",
+      "ot rans",
+      "ĠB au",
+      "ĠTh ousand",
+      "Ġun clean",
+      "Ġun identified",
+      "con version",
+      "Ġpre processing",
+      "Ġunder lie",
+      "co vers",
+      "su fficiency",
+      "Ġcontract ual",
+      "ĠCor pus",
+      "ĠMac ro",
+      "Ġicon ography",
+      "QU E",
+      "Ġlag oon",
+      "Custom er",
+      "ĠAyurved ic",
+      "+ ',",
+      "C our",
+      "P rin",
+      "S ERV",
+      "Ġp lywood",
+      "ĠC asp",
+      "ĠR itual",
+      "Ġqu bits",
+      "AS P",
+      "Ġveget arians",
+      "Ġreprodu cible",
+      "Ġmanip ulations",
+      "Ġrepay ment",
+      "/ ')",
+      "N ear",
+      "m f",
+      "Ġex termin",
+      "red uced",
+      "cess ive",
+      "Ġent rances",
+      "ĠWe bsites",
+      "par agraph",
+      "ĠSh im",
+      "Ġpain killers",
+      "ĠPer se",
+      "Ġspeed y",
+      "Ġdish was",
+      "Ġgrab bing",
+      "ĠFle ming",
+      "Ġirres ist",
+      "nd a",
+      "Ġre iter",
+      "ĠC ain",
+      "ĠG ad",
+      "Gen eric",
+      "ĠBr igham",
+      "Ġretail er",
+      "Ġplut onium",
+      "th orn",
+      "ĠN utrient",
+      "ĠL ig",
+      "ĠK lan",
+      "Ġref urb",
+      "ves ter",
+      "pos p",
+      "sp aces",
+      "Ġconcent ric",
+      "bre v",
+      "Ġstimul ants",
+      "oderm a",
+      "è¦ ģ",
+      "i ou",
+      "ĠB ella",
+      "Ġsc ribes",
+      "atter ies",
+      "ĠCy rus",
+      "ĠBur ton",
+      "Ġparas it",
+      "Ġphosph ory",
+      "Ġmim icking",
+      "Ġfut ile",
+      "liter als",
+      "ĠBring ing",
+      "Ġacquaint ance",
+      "S low",
+      "U pload",
+      "j ang",
+      "s lavery",
+      "Å Ħ",
+      "ar u",
+      "Ġan ne",
+      "ĠAd dition",
+      "Ġmis chie",
+      "Ġtim est",
+      "ãģ «",
+      "connect ions",
+      "ĠAT M",
+      "Mon itoring",
+      "Ġplural ism",
+      "ĠMcG ill",
+      "Ġpancreat itis",
+      "Ġrevital ization",
+      "Ġd andel",
+      "Ġre indeer",
+      "id as",
+      "ĠC ull",
+      "ĠM ond",
+      "Ġfl or",
+      "ick en",
+      "AT M",
+      "Ġsolid ifying",
+      "Ġball istic",
+      "ĠCD s",
+      "ĠPrior itize",
+      "Ġbun ny",
+      "T X",
+      "f usion",
+      "n ance",
+      "p andas",
+      "w ik",
+      "Ġt ester",
+      "ĠD uch",
+      "ĠG rat",
+      "are as",
+      "Ġpe g",
+      "Ġneed y",
+      "att achment",
+      "Ġcoll apses",
+      "Ġ.. .\"",
+      "Ġgrapp les",
+      "Ġnick named",
+      "ĠHyp othesis",
+      "Ġcooper atives",
+      "Ġarous ed",
+      "Ġlandl ords",
+      "ĠE id",
+      "Ġsh orts",
+      "Ġdis location",
+      "hen ce",
+      "Ġsm ear",
+      "'] ):",
+      "Ġcra ve",
+      "Ġcook er",
+      "Ġtraum as",
+      "Ġborder line",
+      "Ġterr ific",
+      "Ġcrocod iles",
+      "priv ile",
+      "or ah",
+      "ĠI li",
+      "ure th",
+      "red ited",
+      "fter s",
+      "com ycin",
+      "sp inal",
+      "Ġorn ith",
+      "ĠBibli ography",
+      "Ġquer yset",
+      "Ġabras ive",
+      "} ^{",
+      "ĠB t",
+      "Ġdep ot",
+      "gen es",
+      "Web ster",
+      "ĠHal ifax",
+      "Ġshout ed",
+      "ĠNeigh borhood",
+      "Coll ins",
+      "ĠClaim s",
+      "; \\",
+      "M aria",
+      "M agic",
+      "k ids",
+      "Ġc reeks",
+      "oc ry",
+      "Ġj s",
+      "Ġtw ilight",
+      "Ġoff ences",
+      "work flow",
+      "ĠAss am",
+      "Ġhom icide",
+      "Ġpark ed",
+      "lik ed",
+      "Ġadvers ary",
+      "mass ive",
+      "igraph ic",
+      "Ġinfrast ructures",
+      "Ġheres y",
+      "ĠT urb",
+      "ag hetti",
+      "Ġcy berspace",
+      "ĠSur prisingly",
+      "ĠPenn y",
+      "ĠEconom ist",
+      "rav ings",
+      "prom pt",
+      "Ġlubric ation",
+      "Peer V",
+      "ĠSid ney",
+      "Ġvenge ance",
+      "r strip",
+      "ë ĭ",
+      "Ġa ka",
+      "ĠR ide",
+      "pt ious",
+      "ast ro",
+      "Ġsc uba",
+      "Ġhum iliation",
+      "Ġorgan elles",
+      "Ġmil ieu",
+      "âĢ¦ )",
+      "ĠPres idency",
+      "Ġmut ants",
+      "gener ally",
+      "prov ided",
+      "Ġinterrupt ing",
+      "ĠPred iction",
+      "ĠScholars hip",
+      "' )))",
+      "P hy",
+      "Ġu id",
+      "ĠD ro",
+      "ĠD oyle",
+      "ĠK yr",
+      "get cwd",
+      "Ġsl it",
+      "ĠDep th",
+      "ĠAut obi",
+      "ĠAtt ach",
+      "ĠArchitect ural",
+      "Ġdishon est",
+      "ur ism",
+      "un gen",
+      "ĠCon ventional",
+      "Ġsuper power",
+      "ĠAc quisition",
+      "pass ed",
+      "Ġrib bons",
+      "ĠFront iers",
+      "fin ancial",
+      "ĠVacc ines",
+      "' (",
+      "ab outs",
+      "Ġge ologist",
+      "ĠArt illery",
+      "Ġfacilit ator",
+      "ĠHy de",
+      "Ġpneum atic",
+      "ĠJane iro",
+      "Ã »",
+      "Ġb umble",
+      "Ġg ul",
+      "ore au",
+      "ĠW att",
+      "ĠN intendo",
+      "ia v",
+      "Ġgl ide",
+      "Ġsl og",
+      "cul a",
+      "Ġfall out",
+      "ĠGreen wich",
+      "Att ention",
+      "Prof essional",
+      "ĠHold ing",
+      "}{ \\",
+      "ĠCauc asian",
+      "Ġestu aries",
+      "c atalog",
+      "r x",
+      "ĠC BS",
+      "and ro",
+      "Ġev oked",
+      "ph s",
+      "ĠRep roduction",
+      "ĠComp ost",
+      "Ġtrust ees",
+      "vis ited",
+      "ĠUse ful",
+      "ĠBo ards",
+      "ĠÐ ¼",
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+      "оР¼",
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+      "comb ined",
+      "Ġinaug urated",
+      "Ġblueprint s",
+      "Ġnarc iss",
+      "Ġlandsl ide",
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+      "M os",
+      "Ġf ries",
+      "ĠT end",
+      "res net",
+      "ĠJ aw",
+      "ĠAl askan",
+      "Ġend anger",
+      "Ġvarious ly",
+      "Ġunt apped",
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+      "Ġgran ules",
+      "Ġot ters",
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+      "au nder",
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+      "ĠJ ill",
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+      "Ġc pu",
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+      "ä¸ ĭ",
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+      "Ġreck less",
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+      "ĠAqu atic",
+      "en ching",
+      "Ġf oe",
+      "Ġg ren",
+      "ĠA BO",
+      "ĠL al",
+      "Ġnatural istic",
+      "Ġship ments",
+      "Ġinterven ed",
+      "Ġhypogly cemia",
+      "ĠSloven ia",
+      "P air",
+      "at ters",
+      "Ġd ives",
+      "ĠS OL",
+      "ĠF on",
+      "ĠL och",
+      "Ġbul ge",
+      "Ġoverl aps",
+      "Ġthread ed",
+      "Ġoblig atory",
+      "ĠEC G",
+      "Ġbor on",
+      "h z",
+      "ar f",
+      "ĠB ates",
+      "ĠG ABA",
+      "Ġ' ':",
+      "Ġdes alination",
+      "Ġconc ussions",
+      "ĠAsh ley",
+      "Ġaddict ions",
+      "Ġenlight ening",
+      "Ġequival ence",
+      "Ġendomet riosis",
+      "R H",
+      "× ŀ",
+      "å ĴĮ",
+      "ve h",
+      "ĠP iano",
+      "Ġcomm end",
+      "ĠV s",
+      "ĠSh ack",
+      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
+      "Ġround ing",
+      "Ġkn ocking",
+      "Ġdiscrim inated",
+      "ĠOper ational",
+      "Ġven omous",
+      "Ġreass ess",
+      "ĠCapital ism",
+      "Ġreplic ating",
+      "oske leton",
+      "ocaly pse",
+      "Prepar ing",
+      "Ġhass le",
+      "Ġexcre ted",
+      "Ġgrizz ly",
+      "r p",
+      "el ike",
+      "st uffs",
+      "ĠH oll",
+      "ĠH umb",
+      "we i",
+      "Ġdisc ouraging",
+      "ĠLe aving",
+      "Ġsect s",
+      "CH ANT",
+      "Ġkil ometer",
+      "Ġsuc ceeds",
+      "ĠTem p",
+      "ॠĭ",
+      "ĠCell ular",
+      "iph on",
+      "lad en",
+      "n uclear",
+      "Ġfor ging",
+      "Ġal i",
+      "Ġv ign",
+      "ure n",
+      "Ġ{ {",
+      "An imals",
+      "ĠInt ra",
+      "sk ill",
+      "Ġsweet ened",
+      "Ġnan ometers",
+      "record ed",
+      "ĠChi ang",
+      "Ġblu ish",
+      "ĠWet lands",
+      "Ġcommemor ates",
+      "ĠAzte cs",
+      "Ġdissip ate",
+      "ĠSomers et",
+      "Ġmorn ings",
+      "Ġh oof",
+      "ĠT ier",
+      "Ġcon ical",
+      "rom eter",
+      "we ets",
+      "Ġsign age",
+      "wh ose",
+      "Ġsleep iness",
+      "Add ed",
+      "move ment",
+      "umen ical",
+      "follow ing",
+      "ĠEscher ichia",
+      "Ġnex us",
+      "D eg",
+      "Ã ²",
+      "Ê ¿",
+      "en as",
+      "Ġth ief",
+      "Ġv als",
+      "Ġbi osphere",
+      "ĠBl end",
+      "acc el",
+      "Ex pr",
+      "ĠSur geon",
+      "Ġkit ten",
+      "Med icine",
+      "ĠMa hatma",
+      "Ġsail or",
+      "ĠHan ukkah",
+      "Ġoversee ing",
+      "ĠPhen omen",
+      "ĠAe gean",
+      "ĠTrin idad",
+      "ĠDres den",
+      "ĠA ids",
+      "Ġch ast",
+      "ĠCh u",
+      "AR P",
+      "oph ores",
+      "Ex odus",
+      "Ġcheck out",
+      "Ne ither",
+      "Ġjew ellery",
+      "ĠArchitect s",
+      "Ġmacro economic",
+      "ENG TH",
+      "B attle",
+      "W ire",
+      "o eb",
+      "ĠS ister",
+      "oc ious",
+      "Ġ{ :",
+      "Ġcry ptic",
+      "Ġhospital izations",
+      "е л",
+      "Ġsql ite",
+      "scient ist",
+      "ĠBrow se",
+      "Ġhypoth alamus",
+      "Ġfollic le",
+      "Ġinconven ience",
+      "interpre ted",
+      "M i",
+      "Ġo aks",
+      "Ġd ocker",
+      "ĠF us",
+      "AS C",
+      "avor ite",
+      "Ġheav iest",
+      "ĠNot tingham",
+      "Ġfrag ility",
+      "ĠMer cy",
+      "uther ford",
+      "Ġhes it",
+      "Main taining",
+      ": {",
+      "Ġf d",
+      "le z",
+      "Ġdec arbon",
+      "ĠAugust a",
+      "Ġinterf aith",
+      "Ġperpet uated",
+      "ĠFriend ly",
+      "Ġcockro aches",
+      "ĠLEG O",
+      "P K",
+      "r asion",
+      "il ism",
+      "ĠP t",
+      "Ġmicro phones",
+      "ĠAg u",
+      "Ġtrust y",
+      "Ġmock ed",
+      "Base Model",
+      "symb ols",
+      "upload s",
+      "Ġischem ic",
+      "S aturday",
+      "j peg",
+      "ad ditional",
+      "and ering",
+      "cl f",
+      "ib ald",
+      "ear ned",
+      "ob ot",
+      "Ġret ribution",
+      "ĠZ n",
+      "Ġwood working",
+      "udd led",
+      "Ġconstruct ively",
+      "Ġcurious ly",
+      "DS M",
+      "Ġaggreg ated",
+      "Fact or",
+      "oblast oma",
+      "Ġsparing ly",
+      "g ut",
+      "al ive",
+      "Ġd as",
+      "ĠB ac",
+      "av id",
+      "Ġinter operability",
+      "Ġcare less",
+      "Ġhost name",
+      "Ġhyd rological",
+      "ĠElect ron",
+      "det ect",
+      "Ġtu ples",
+      "® ,",
+      "ĠJon ah",
+      "Ġendeav our",
+      "Ġlod ging",
+      "ĠAthen ian",
+      "ĠLIMIT ED",
+      "; '",
+      "es ville",
+      "Ġg ulf",
+      "ter ious",
+      "ĠF res",
+      "Ġro amed",
+      "ne z",
+      "Ġdes eg",
+      "ron omic",
+      "ĠAn imation",
+      "Ġmet ering",
+      "sp ers",
+      "ĠAm pl",
+      "ĠRivers ide",
+      "ra re",
+      "ĠH ed",
+      "Ġint ending",
+      "ĠAr d",
+      "Ġut opian",
+      "Ġtrust ee",
+      "Ġtele visions",
+      "Cont rary",
+      "ĠGlobal ization",
+      "Object s",
+      "Ġham let",
+      "Ġterr ified",
+      "ĠHels inki",
+      "æ ģ",
+      "ic ule",
+      "ĠP end",
+      "ĠW are",
+      "Ġpass ively",
+      "Ġcal iph",
+      "ival ence",
+      "Ġpay able",
+      "ĠPart ial",
+      "ĠEduc ate",
+      "Ġinstitutional ized",
+      "Ġoct ave",
+      "ĠSurv iv",
+      "ĠTM J",
+      "Ġcler ks",
+      "Ġremed ial",
+      "ĠPractition ers",
+      "B OT",
+      "s aid",
+      "Ġh ars",
+      "ĠA way",
+      "ĠC eram",
+      "um ab",
+      "Ġcan oes",
+      "(' [",
+      "ank ar",
+      "amm ers",
+      "chol y",
+      "Ġseason ing",
+      "ĠSil va",
+      "Ġfed eration",
+      "Ġintermedi aries",
+      "Ġmicron utrients",
+      "ĠAram aic",
+      "E AR",
+      "at ten",
+      "is bury",
+      "ĠT in",
+      "res istance",
+      "ĠB ant",
+      "Ġwe aning",
+      "ĠF AA",
+      "ich te",
+      "ĠRe e",
+      "Wh ilst",
+      "ĠComp assion",
+      "Ġquant ification",
+      "ĠMod erate",
+      "mark down",
+      "Ġhoney bees",
+      "Ġalarm ed",
+      "ĠMom ent",
+      "Ġcorps es",
+      "C ESS",
+      "N it",
+      "d welling",
+      "i ander",
+      "he ra",
+      "it led",
+      "Ġb c",
+      "ir con",
+      "Ġad sorption",
+      "uch s",
+      "Ġmin er",
+      "Ġmain s",
+      "Ġanal ogue",
+      "ĠCont rolled",
+      "ĠNe u",
+      "Ġtill age",
+      "ĠAdolesc ents",
+      "B ud",
+      "L incoln",
+      "y am",
+      "ĠT ot",
+      "ĠC isco",
+      "ell ings",
+      "Ġpre process",
+      "Ġhist amine",
+      "ev idence",
+      "semb les",
+      "ĠBen efit",
+      "Ġnan ost",
+      "Ġepistem ology",
+      "r iment",
+      "Ġp antry",
+      "Ġm ocking",
+      "ĠS SR",
+      "ĠC aps",
+      "Ġout liers",
+      "mer c",
+      "ern o",
+      "Ġdem arc",
+      "Ġord inarily",
+      "ij a",
+      "ĠBro ken",
+      "Ġdescript or",
+      "EF L",
+      "Ġattain able",
+      "Ġgam ification",
+      "ĠNA ACP",
+      "Ġupl and",
+      "Ġesc ort",
+      "ĠChau cer",
+      "Ġruth less",
+      "Ġindist inguishable",
+      "T aylor",
+      "h off",
+      "Ġth i",
+      "ut i",
+      "th ick",
+      "ĠK ul",
+      "Ġcur cumin",
+      "Ġfat ig",
+      "ĠSl ovakia",
+      "neg ot",
+      "ĠLess er",
+      "Ġfores ight",
+      "ĠCere mon",
+      "Ġactu ators",
+      "B irth",
+      "H ope",
+      "ĠA UTH",
+      "Ġsp urs",
+      "ĠV ig",
+      "ĠPl aza",
+      "Ġste ak",
+      "Ġdispos ing",
+      "Rel igion",
+      "Ġmelan in",
+      "ĠPF AS",
+      "Neg ative",
+      "Ġzebra fish",
+      ") ].",
+      "M ade",
+      "ĠS PD",
+      "ell um",
+      "Ġk i",
+      "ob ility",
+      "ale igh",
+      "Ġbenef iciary",
+      "Al ert",
+      "ret te",
+      "Ġder ivation",
+      "Ġcommercial ization",
+      "Ġdu plicated",
+      "Ġflav ored",
+      "ĠHor ace",
+      "ĠPars ons",
+      "Ġneurom uscular",
+      "Ġspac etime",
+      "å¯ ¹",
+      "ĠVander bilt",
+      "ĠT olerance",
+      "ĠC aj",
+      "Ġfat ality",
+      "Ġblock ages",
+      "Ġtour naments",
+      "ĠMet abolism",
+      "Ġrevol ving",
+      "ĠCop ing",
+      "jour nals",
+      "ĠCiv ic",
+      "q q",
+      "ĠP OL",
+      "ĠB am",
+      "out ine",
+      "Ġapp arel",
+      "Ġcommun ists",
+      "Ġlevel ing",
+      "ĠIs olation",
+      "Ph ilos",
+      "Ġideal ized",
+      "Ġrhy ming",
+      "Ġmas hed",
+      "Ġweapon ry",
+      "Dec imal",
+      "PLA Y",
+      "Ġunsus pecting",
+      "ĠPARTIC ULAR",
+      "P ix",
+      "P OL",
+      "a um",
+      "Ġrel oad",
+      "sh irt",
+      "Ġlog its",
+      "ĠSc ope",
+      "Ġwind y",
+      "Ġphen otypic",
+      "Ġcampaign ing",
+      "esh oe",
+      "unning ham",
+      "Ġsucc ulents",
+      "Ġrigor ously",
+      "ĠHutch inson",
+      "F requency",
+      "G ot",
+      "W al",
+      "m ere",
+      "Ġw ob",
+      "ĠT ate",
+      "Ġst are",
+      "if acts",
+      "Ġat opic",
+      "Ġtake off",
+      "ĠSc ratch",
+      "é d",
+      "Ġax e",
+      "UR ES",
+      "Ġgrass hop",
+      "icks burg",
+      "ĠNet working",
+      "tem poral",
+      "ĠPRO VID",
+      "ĠGreg orian",
+      "ĠExpress ions",
+      "ĠDeut eronomy",
+      "ĠInsect s",
+      "A mb",
+      "Ġ ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ol son",
+      "ĠCal gary",
+      "unch ing",
+      "ĠTr ich",
+      "Ġstick er",
+      "è s",
+      "Ġcentrifug al",
+      "p acks",
+      "Ġm x",
+      "ĠL ighthouse",
+      "ĠZ ach",
+      "Ġarr ivals",
+      "Ġnational ists",
+      "á r",
+      "ĠLeg islation",
+      "Ġsin ners",
+      "RA W",
+      "Ġcontamin ant",
+      "develop mental",
+      "ĠMongol ian",
+      "Ġbisc uits",
+      "+ \\",
+      "E lements",
+      "Ġp int",
+      "Ġch rys",
+      "Ġsecond hand",
+      "Ġz oon",
+      "ĠCo at",
+      "Ġfort ification",
+      "ipe g",
+      "Mean ing",
+      "ĠNG C",
+      "Ġlig and",
+      "ĠCrime a",
+      "ĠBomb ay",
+      "Ġorthodont ic",
+      "H o",
+      "Ġst ag",
+      "ri ks",
+      "ĠJ STOR",
+      "Ġnut shell",
+      "Ġcondition ers",
+      "Ġappl aud",
+      "Ġgrass y",
+      "Ġdiss ipation",
+      "Ġnu ance",
+      "bas eline",
+      "ĠAltern atives",
+      "Ġcosm opolitan",
+      "ĠMP H",
+      "ĠKat ie",
+      "DI RECT",
+      "ĠAth letes",
+      "Ut ils",
+      "p f",
+      "Ġre using",
+      "ĠH oughton",
+      "Ġj ug",
+      "Ġra ging",
+      "Ġsol icit",
+      "Ġaff ords",
+      "ĠAm anda",
+      "Ġfib ro",
+      "abs burg",
+      "Ġlingu ists",
+      "oul os",
+      "Ġexert s",
+      "ĠBroad casting",
+      "Abs ol",
+      "ĠB U",
+      "all i",
+      "Ġtrans act",
+      "ĠAn im",
+      "ĠDe leg",
+      "sc enario",
+      "ĠZ ap",
+      "ĠOr b",
+      "Ġdeep ens",
+      "Ġrot ten",
+      "PS S",
+      "orph y",
+      "SC s",
+      "ĠColomb ian",
+      "Occ up",
+      "Ġdisinfect ant",
+      "D ie",
+      "a ust",
+      "ar ab",
+      "ĠT BI",
+      "Ġde ceptive",
+      "ĠF ounder",
+      "ĠR SV",
+      "pe re",
+      "ĠL ov",
+      "ĠG inger",
+      "Ġsub du",
+      "py lene",
+      "St an",
+      "St ation",
+      "ID A",
+      "Ġsold ering",
+      "ĠIS IS",
+      "ĠIN S",
+      "ĠSum atra",
+      "IF T",
+      "dist ances",
+      "jud gment",
+      "asm ine",
+      "Norm ally",
+      "Ev ents",
+      "ĠFu j",
+      "æĪ ·",
+      "ĠSebast ian",
+      "ĠParagu ay",
+      "! =",
+      "E PS",
+      "Y C",
+      "Ġsil enced",
+      "Ġtur bo",
+      "Ġinhab iting",
+      "ĠCham bers",
+      "ĠMinor ity",
+      "Ġleng then",
+      "Ġbotan ist",
+      "D ESCRIPT",
+      "H ttp",
+      "v on",
+      "Ġo min",
+      "Ġf rench",
+      "ĠS arg",
+      "ĠD ai",
+      "ap arte",
+      "Al t",
+      "dat aclass",
+      "Ġconce ivable",
+      "INS ERT",
+      "' %",
+      "I p",
+      "R at",
+      "æ ¯",
+      "ĠP agan",
+      "iv el",
+      "ĠW en",
+      "ific antly",
+      "Ġshe pherds",
+      "ĠSp ir",
+      "Ex posure",
+      "Ġvibr ating",
+      "token izer",
+      "State ment",
+      "ĠNic ole",
+      "Ġforb id",
+      "Ġprefix es",
+      "Ġmu zzle",
+      "Tw enty",
+      "Iss ue",
+      "L ith",
+      "Ġs ushi",
+      "om bo",
+      "ĠC rest",
+      "Ġwe ary",
+      "Ġr ations",
+      "Ġcomp action",
+      "ĠU lysses",
+      "Ġcl ade",
+      "Ġwhen ce",
+      "Ġmy cot",
+      "pro ven",
+      "ĠSe af",
+      "ĠSh ock",
+      "Ġobject ed",
+      "Ġmicro grams",
+      "part icle",
+      "Ġposition al",
+      "Ġcircum vent",
+      "Ġhygi en",
+      "ĠDifferent ial",
+      "ا ÙĨ",
+      "Ġgreet ings",
+      "Altern ative",
+      "ĠEcosystem s",
+      "econom ics",
+      "Ġthromb osis",
+      "Ġp ies",
+      "ĠB ears",
+      "Ġtr if",
+      "Ġam enable",
+      "Ġkeep ers",
+      "Ġmil let",
+      "UT ION",
+      "Ġsediment ation",
+      "ĠOl m",
+      "Ġjun ctions",
+      "Ġplural ity",
+      "ĠCyber security",
+      "Ġpredic ament",
+      "ĠMcCle ll",
+      "W OR",
+      "è ´",
+      "Ġto ads",
+      "Ġn y",
+      "ĠC i",
+      "ĠW orship",
+      "ĠG amma",
+      "ap est",
+      "Ġact in",
+      "de b",
+      "ĠRes urrection",
+      "inf rared",
+      "ĠChe y",
+      "ĠMedic ines",
+      "CH A",
+      "Ġhack ed",
+      "Ġalphabet ical",
+      "Ġspawn ed",
+      "cook ie",
+      "ĠKarn ataka",
+      "L ines",
+      "ĠD ivers",
+      "mon ths",
+      "---------------- ----",
+      "ĠGo ethe",
+      "Mad ison",
+      "Ġprolet ariat",
+      "Ġ ix",
+      "Ġf asci",
+      "Ġha ze",
+      "ĠR inse",
+      "ĠR ousseau",
+      "ĠO zone",
+      "cc i",
+      "ism o",
+      "Ġloc ale",
+      "Al ready",
+      "ny der",
+      "ĠLouis ville",
+      "ĠContin ued",
+      "ĠBu zz",
+      "ĠJam estown",
+      "Ġhaw ks",
+      "Ġantip sych",
+      "resid ual",
+      "ĠAntio ch",
+      "( \",",
+      "g art",
+      "p oss",
+      "en ol",
+      "od il",
+      "Ġgra ze",
+      "por ters",
+      "Ġdeal ings",
+      "Ġball ast",
+      "Tra de",
+      "ä r",
+      "ĠCr ane",
+      "igs aw",
+      "ĠMoh ammad",
+      "Ġterra ins",
+      "ĠAntib iotics",
+      "Hig her",
+      "Ġdexter ity",
+      "c ourt",
+      "ĠM aternal",
+      "Ġun g",
+      "Ġpur se",
+      "ĠWar wick",
+      "ĠHol low",
+      "Ġjson ify",
+      "ĠHill ary",
+      "Ġcarcin ogens",
+      "Mark et",
+      "enh anced",
+      "liter ally",
+      "ĠStreng thening",
+      "ĠTol edo",
+      "M ON",
+      "ĠT ube",
+      "ch apter",
+      "ate urs",
+      "Ġhe als",
+      "os it",
+      "pl ains",
+      "ĠSt atic",
+      "Ġac he",
+      "Ġcharacter izes",
+      "ĠInst ant",
+      "ĠCont ributions",
+      "Ġaud iting",
+      "valid ator",
+      "Äģ r",
+      "ĠStone henge",
+      "Ġculprit s",
+      "Ġundersc ored",
+      "Ġexoplan ets",
+      "ä¾ ĭ",
+      "Ġdefinit ively",
+      "P ip",
+      "c reating",
+      "t ze",
+      "ĠD SL",
+      "Ġsm elling",
+      "Ġgra der",
+      "ĠRes idents",
+      "ĠEm ory",
+      "Ġdead liest",
+      "Ġdiam eters",
+      "ĠNic olas",
+      "Mar ine",
+      "oglob ulin",
+      "ĠBalk an",
+      "arcin oma",
+      "ĠPf izer",
+      "Ġdystop ian",
+      ") âĢĿ",
+      "ch al",
+      "act yl",
+      "Ġ\" ,\"",
+      "Ġliter atures",
+      "Ġnetwork ed",
+      "dist rict",
+      "ĠAuthor ities",
+      "ĠSep aration",
+      "Main Window",
+      "ĠKath leen",
+      "Present ation",
+      "acchar ide",
+      "ĠLis bon",
+      "Ġgira ffes",
+      "ĠAsper ger",
+      "ĠFrancisc an",
+      "c ourses",
+      "v ary",
+      "z ar",
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+      "Col a",
+      "api ro",
+      "ĠMart inez",
+      "rus ions",
+      "ĠHy der",
+      "Ġfing ern",
+      "jud ice",
+      "ĠCoord ination",
+      "ĠAnat olia",
+      "Ġlad en",
+      "Ġwit ty",
+      "æŀ ľ",
+      "esare an",
+      "k on",
+      "Ġo racle",
+      "st rict",
+      "ĠC annabis",
+      "Ġr ang",
+      "Ġsh unt",
+      "light ly",
+      "Ġdiet ing",
+      "čĊ ĉĉĉĉ",
+      "âĢ¦ ..",
+      "Sh ift",
+      "ĠSch warz",
+      "[: :-",
+      "oly b",
+      "Ġcontradict s",
+      "Ġinh aling",
+      "ĠAssy ria",
+      "Ġeigen values",
+      "Ġparaph rase",
+      "Ġoppos ites",
+      "c ens",
+      "Ġs aga",
+      "ĠM olly",
+      "ĠH LA",
+      "Ġsub terranean",
+      "Ġrep rogram",
+      "ĠSh aping",
+      "Ġpath ologist",
+      "ĠAfter wards",
+      "Ġpal ae",
+      "Ġscript ing",
+      "ĠAcc om",
+      "Ġske ptics",
+      "Ġvac ations",
+      "Ġblind ly",
+      "atern ary",
+      "ĠCos mic",
+      "Ġcrick ets",
+      "Ġpolyphen ols",
+      "Ġhilar ious",
+      "t us",
+      "com be",
+      "Ġsub division",
+      "ĠHe ating",
+      "Ġdep ress",
+      "me asured",
+      "RO P",
+      "Ġscript ural",
+      "ĠInstruction al",
+      "Ġausp ices",
+      "Ġartisan al",
+      "ĠCarp enter",
+      "æ ¨",
+      "ĠC SI",
+      "ĠM ate",
+      "ac io",
+      "ath y",
+      "ĠAnt icip",
+      "ĠMet als",
+      "Const ant",
+      "Ġescal ation",
+      "Creat ive",
+      "Ġacquaint ances",
+      "Ġeman ating",
+      "Ġfus elage",
+      "M sg",
+      "Ġab bey",
+      "ign ing",
+      "Ġher mit",
+      "ency cl",
+      "Ġsimple x",
+      "cont our",
+      "ĠSu f",
+      "ĠPhD s",
+      "ĠHam mer",
+      "ĠWood row",
+      "Ġmir roring",
+      "ĠMagn et",
+      "ĠPregn ant",
+      "Ġhumming birds",
+      "å¼ ı",
+      "Ġstrongh old",
+      "MetaInfo Class",
+      "G PS",
+      "pre processing",
+      "Ġmodern ism",
+      "ON S",
+      "Ġsepar ator",
+      "ĠMet abolic",
+      "mas ters",
+      "Ġhorse power",
+      "Ġye asts",
+      "Ġlob ster",
+      "ĠSus p",
+      "ĠAutom ated",
+      "Ġin patient",
+      "Ġclass ed",
+      "Ġrest itution",
+      "sp here",
+      "=\" <",
+      "Ġdat as",
+      "ĠGu ards",
+      "AL T",
+      "Ġsn out",
+      "Re ceived",
+      "ĠVol tage",
+      "Pl astic",
+      "Ġgun powder",
+      "ĠPlace ment",
+      "Ġspl int",
+      "sent ences",
+      "ĠDim ensions",
+      "Ġdoctr inal",
+      "G ram",
+      "p ies",
+      "Int rigued",
+      "Ġuns ur",
+      "tw entieth",
+      "GR APH",
+      "Oper ations",
+      "ouns aturated",
+      "Ġamphib ious",
+      "ĠVolcan o",
+      "Ġinconven ient",
+      "> \")",
+      "f ee",
+      "Ġ čĊĉ",
+      "Ġp ane",
+      "ĠT ran",
+      "ch dir",
+      "Ġbe gging",
+      "), (",
+      "Ġpsych otic",
+      "Ġtree house",
+      "Ġwa its",
+      "ĠSy racuse",
+      "Ġauthent ically",
+      "Ġbreed er",
+      "ĠCase y",
+      "ĠCr imes",
+      "Ġpadd ed",
+      "Ġwip es",
+      "ĠLiv estock",
+      "ĠSams ung",
+      "Boolean Field",
+      "Ġtout ed",
+      "S UM",
+      "c het",
+      "ar ie",
+      "ir vana",
+      "ĠC BC",
+      "ĠP RI",
+      "ĠL IB",
+      "Ġdec rypt",
+      "Ġann als",
+      "Ġmother board",
+      "Ġbuoy ancy",
+      "Ġconjunct ivitis",
+      "LEG ATO",
+      "m ethyl",
+      "Ġf odder",
+      "ed ema",
+      "ĠG rain",
+      "Ġun balanced",
+      "ĠSt y",
+      "Ġinit ials",
+      "Com mit",
+      "ĠPy Torch",
+      "ĠInc ident",
+      "Ġauthent icate",
+      "Ġpharm acies",
+      "hyd ro",
+      "Ġgast ronomy",
+      "ĠEmploy ers",
+      "Prim itive",
+      "F riendly",
+      "s ed",
+      "Ġm ommy",
+      "ĠM osaic",
+      "ĠD D",
+      "ĠO scill",
+      "Ġher s",
+      "ĠPl asma",
+      "Ġextrem ist",
+      "Ġrandom ised",
+      "disc ord",
+      "Ġredist ribute",
+      "Ġrall ies",
+      "al ers",
+      "ĠP ec",
+      "ĠW earing",
+      "ĠR aven",
+      "ph ilos",
+      "ĠV augh",
+      "Ġben ches",
+      "reg ional",
+      "Ġdoc king",
+      "Ġhyp oxia",
+      "sub scription",
+      "Se ason",
+      "Ġlept in",
+      "S uddenly",
+      "Ö ¶",
+      "ĠA ST",
+      "ĠS addam",
+      "ĠP ets",
+      "ĠB rick",
+      "ag as",
+      "ard ia",
+      "ign on",
+      "Ch anged",
+      "]) ]",
+      "vant age",
+      "Ġcoll ars",
+      "Ġconver ters",
+      "Ġsegment ed",
+      "ĠOcc ur",
+      "ĠInterest ing",
+      "Ġfare well",
+      "Ġlev ied",
+      "ucking ham",
+      "Ġatten uation",
+      "Rele ase",
+      "S CH",
+      "t ank",
+      "Ġin experienced",
+      "ĠT L",
+      "ut ility",
+      "ch io",
+      "ch airs",
+      "ĠR SA",
+      "end ium",
+      "ap is",
+      "uss el",
+      "my th",
+      "Ġste pper",
+      "log ged",
+      "pat rick",
+      "ado op",
+      "Ġthin ly",
+      "Ġepid ermis",
+      "Man ufact",
+      "ugg er",
+      "Ġion izing",
+      "Ġcaution ed",
+      "Ġmobil ized",
+      "ĠHart ford",
+      "ĠPun ishment",
+      "depend ency",
+      "ĠWinn ipeg",
+      "Ġove reating",
+      "Ġdiast olic",
+      "S aving",
+      "b ash",
+      "Ġcom ed",
+      "ĠW rap",
+      "ĠN ineteenth",
+      "ĠK nee",
+      "Ġdef ec",
+      "Ġaut osomal",
+      "Ġconf erencing",
+      "Ġrecogn ising",
+      "Ġtransc ended",
+      "Ġsampl er",
+      "Ġrecount ed",
+      "ocl onal",
+      "B ern",
+      "m ach",
+      "t gt",
+      "in cludes",
+      "Ġc er",
+      "ĠB IOS",
+      "ĠJ uris",
+      "Ġcl ad",
+      "av our",
+      "ĠCons uming",
+      "RE C",
+      "pat ients",
+      "° .",
+      "Ġmac ron",
+      "dem o",
+      "ĠBah amas",
+      "ĠLeban ese",
+      "âĤ Ĥ",
+      "ĠMell on",
+      "ĠProphe ts",
+      "F ront",
+      "v iz",
+      "Ġ ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
+      "ce re",
+      "Ġatt uned",
+      "Ġprot esting",
+      "Ġhard iness",
+      "Ġteam ed",
+      "Ġarr hythmias",
+      "ĠApp ropri",
+      "Ġcat fish",
+      "Ġregular ity",
+      "Ġmechan ic",
+      "-------------------------------- -------",
+      "Ġshoot ings",
+      "Ant ib",
+      "ĠSD Gs",
+      "ĠBapt ism",
+      "Ġprophyl axis",
+      "ĠFIT NESS",
+      "m aterials",
+      "ç Ĥ¹",
+      "Ġe ard",
+      "un iversity",
+      "Ġhome opathy",
+      "ĠEd ited",
+      "ĠCong ratulations",
+      "nam ely",
+      "Trans action",
+      "Ġscroll s",
+      "j uana",
+      "at as",
+      "or an",
+      "ĠC ERN",
+      "cl ine",
+      "Ġgener ative",
+      "Ġtest icular",
+      "CE PT",
+      "free ze",
+      "ĠLight ning",
+      "TY PES",
+      "Ġgri ps",
+      "pix els",
+      "every thing",
+      "Pack age",
+      "Ġirresist ible",
+      "T rust",
+      "ĠE ls",
+      "Ġk osher",
+      "ĠK M",
+      "ath yroid",
+      "ll ium",
+      "Ġemb argo",
+      "ĠGu est",
+      "Ġer oding",
+      "âĢ¢ âĢ¢",
+      "enth ic",
+      "Ġcast es",
+      "Be coming",
+      "diff icult",
+      "ĠCel ts",
+      "ĠGastro enter",
+      "R ose",
+      "Ġp ung",
+      "ĠM its",
+      "oc eros",
+      "ĠH absburg",
+      "Ġexam iner",
+      "pro x",
+      "Ġpath ophysiology",
+      "reg istration",
+      "Ġpredict ability",
+      "Ġfavor ably",
+      "ĠCommun ion",
+      "Ġwealth iest",
+      "ĠÃ Ĥ",
+      "Ġcram ping",
+      "ĠMER CHANTABILITY",
+      "' \",",
+      "p un",
+      "ĠM are",
+      "qu eries",
+      "Ġ\" \":",
+      "Ġro aming",
+      "uc chini",
+      "Ġreal istically",
+      "Ġaccount ant",
+      "Ġur inate",
+      "Ġneg ro",
+      "Ġstri pping",
+      "ĠVir al",
+      "ĠSch ul",
+      "ĠGreen wood",
+      "ĠSk ip",
+      "Qu est",
+      "Where as",
+      "Ġseal ants",
+      "ĠBolshe vik",
+      "ĠStef an",
+      "f illing",
+      "p unk",
+      "w age",
+      "em brance",
+      "ĠF airy",
+      "Ġac utely",
+      "Ġjust ices",
+      "Ġel ast",
+      "Ġrab bin",
+      "ĠPot ato",
+      "Like wise",
+      "Ġreign s",
+      "Ġdeleg ated",
+      "ĠExc iting",
+      "Ġentang lement",
+      "ĠOdys seus",
+      "ĠVAL UES",
+      "t aken",
+      "ot ting",
+      "art y",
+      "ĠJ al",
+      "sh aw",
+      "Ġsent encing",
+      "ĠChar ity",
+      "cor rh",
+      "ĠHaw king",
+      "Ġpolyg ons",
+      "ĠNSA IDs",
+      ": |",
+      "L ex",
+      "x ff",
+      "ĠE LL",
+      "ip v",
+      "ĠIn quisition",
+      "Ġdes icc",
+      "ĠV P",
+      "cent ers",
+      "und y",
+      "ĠCont ains",
+      "Ġcompet ed",
+      "oe lect",
+      "ĠHigh light",
+      "ĠIr vine",
+      "di abetes",
+      "Pr ince",
+      "ĠFat ty",
+      "ĠPrem ium",
+      "Determ ine",
+      "Ann ual",
+      "åĽ ŀ",
+      "Ġwhims ical",
+      "ĠCopern icus",
+      "ç ±",
+      "Ġex on",
+      "red ucing",
+      "Ġimp regn",
+      "ĠV ij",
+      ".âĢĿ )",
+      "ull ing",
+      "Ġâ Ķ",
+      "Ġ.. .,",
+      "help ful",
+      "Ġtens ors",
+      "ĠCalcul ating",
+      "ĠAbd ullah",
+      "H arm",
+      "h ore",
+      "Ġp ardon",
+      "ch oose",
+      "Ġbe ers",
+      "ĠB reed",
+      "Ġle uc",
+      "ĠN IC",
+      "ĠN RC",
+      "ĠWe in",
+      "ung a",
+      "ĠCar rier",
+      "Ġfertil iser",
+      "Art icles",
+      ":: ::",
+      "Ġcov eted",
+      "ĠSens ors",
+      "? ]",
+      "v ill",
+      "Ġw t",
+      "xt icks",
+      "Ġret reating",
+      "Ġbo ar",
+      "Ġsun ken",
+      "Ġir responsible",
+      "Ġden oting",
+      "Ġprev ails",
+      "Ġsusp icions",
+      "Ġfant asies",
+      "Ġsne eze",
+      "Select ing",
+      "Ġost ensibly",
+      "Ġcarc ass",
+      "Ġempir ically",
+      "ĠArtem is",
+      "ĠRajas than",
+      "B AS",
+      "Ġd ab",
+      "Ġh uts",
+      "qu ite",
+      "ĠR over",
+      "Ġun iting",
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+      "arn a",
+      "az ure",
+      "RE F",
+      "Ġconv oy",
+      "spec ifically",
+      "asp berries",
+      "Ġhurt ful",
+      "Ġtet anus",
+      "Ġvisc ous",
+      "ĠLoren zo",
+      "ĠMID I",
+      "ĠZoroast rian",
+      "B ell",
+      "t ow",
+      "ĠI ris",
+      "ob o",
+      "we eds",
+      "Ġmod ulus",
+      "Ġnon human",
+      "ĠBe cker",
+      "ĠGu in",
+      "Ph D",
+      "oper ated",
+      "Ġrevolution izing",
+      "Ġwel comes",
+      "Ġspons orship",
+      "ĠOsw ald",
+      "Î Ķ",
+      "Ġd omes",
+      "ĠM d",
+      "oc les",
+      "Ġpl as",
+      "Ġout flow",
+      "Ġpe eling",
+      "Ġpar ody",
+      "Ġcell phone",
+      "ĠDisc ourse",
+      "ĠSec urities",
+      "iox ide",
+      "ĠTs ar",
+      "%% %%",
+      "Ġcommence ment",
+      "I g",
+      "d w",
+      "f al",
+      "Ġan ew",
+      "Ġearth y",
+      "ĠEd itors",
+      "sect s",
+      "Ġign eous",
+      "UR CES",
+      "ĠPhys iol",
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+      "grad es",
+      "ĠPan ic",
+      "ĠEmb assy",
+      "anth us",
+      "Ġshar per",
+      "Ġdeaf ness",
+      "Ġket tle",
+      "Ġsuffix es",
+      "ĠBolshe viks",
+      "Ġuncontroll able",
+      "e lected",
+      "ĠH ok",
+      "ĠF D",
+      "const raints",
+      "Ġmotor cycles",
+      "CS S",
+      "App endix",
+      "ĠON LY",
+      "ĠDun n",
+      "Ġcontra ind",
+      "Ġdissemin ating",
+      "Play ing",
+      "Ġevangel ical",
+      "Calcul ate",
+      "Ġmun itions",
+      "z ac",
+      "il io",
+      "ĠP arth",
+      "ans wers",
+      "ress ors",
+      "Ġserv ic",
+      "pre y",
+      "Ġmother hood",
+      "____ _",
+      "Ġtransfer able",
+      "ĠHoff man",
+      "Ġraz or",
+      "^ \\",
+      "Ġd umps",
+      "Ġcl and",
+      "Ġmod elled",
+      "Ġpres ume",
+      "read s",
+      "ĠAnd hra",
+      "ext ended",
+      "Ġsens ed",
+      "AP E",
+      "ME s",
+      "Ġradi ocarbon",
+      "ĠTri ple",
+      "GR AM",
+      "ĠMu ir",
+      "iri am",
+      "ĠBatt les",
+      "Ġont ology",
+      "Ġnanom aterials",
+      "D og",
+      "v ara",
+      "Ġa ura",
+      "Ġwh ipped",
+      "ĠB uc",
+      "Ġph obias",
+      "Ġset uptools",
+      "Ġpenet rated",
+      "Ġcod ified",
+      "eros ene",
+      "ripp s",
+      "hig hest",
+      "bud get",
+      "r ism",
+      "æ Ľ",
+      "Ġm owing",
+      "ri ac",
+      "Ġout wards",
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+      "ew are",
+      "ateg or",
+      "ĠPl ane",
+      "Ġstates man",
+      "inf ect",
+      "Ġtax ing",
+      "Ġhyp ocr",
+      "ĠOb tain",
+      "ĠSub scribe",
+      "Ġplag iar",
+      "Ġsnap shots",
+      "ĠIg G",
+      "ĠZion ism",
+      "Ġfigur ines",
+      "Ġted dy",
+      "Ġsacra ments",
+      "ĠT utor",
+      "ĠH L",
+      "ĠG ret",
+      "Ġout ermost",
+      "Ġfe vers",
+      "Ġdet riment",
+      "Ġlevel ed",
+      "Ġplan ters",
+      "Ġrest raints",
+      "ĠNational ism",
+      "fil enames",
+      "sub scribe",
+      "rep air",
+      "Ġthick ened",
+      "ĠRec ording",
+      "plan etary",
+      "Ġfart hest",
+      "Recogn izing",
+      "Ġvanish ing",
+      "Ġremod eling",
+      "D ATE",
+      "M N",
+      "or c",
+      "her tz",
+      "ip a",
+      "ĠAs king",
+      "Ġche et",
+      "ĠEx it",
+      "Ġrest rained",
+      "ĠSh apes",
+      "Ġnational s",
+      "ĠComp ensation",
+      "bur sts",
+      "ĠCra zy",
+      "Mar x",
+      "Ġspeci ation",
+      "L oop",
+      "j av",
+      "y ter",
+      "Ġs igh",
+      "ĠR iding",
+      "ĠL ep",
+      "Ġfe athered",
+      "Ġbl asphem",
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+      "az ers",
+      "Ġsent ient",
+      "Ġseason ally",
+      "cons umption",
+      "Ġstra ps",
+      "ĠDesign er",
+      "ĠSen ators",
+      "åĪ Ĺ",
+      "ĠUl ster",
+      "Ġseab ed",
+      "LI ED",
+      "Ġobl ique",
+      "odend ron",
+      "ĠH ex",
+      "Ġhand outs",
+      "ĠGen eric",
+      "Go al",
+      "ĠDeterm ining",
+      "Ġcarp al",
+      "ĠSin clair",
+      "Ġmarsh m",
+      "h air",
+      "Ġb py",
+      "Ġl arynx",
+      "ĠT ir",
+      "ĠC AL",
+      "ĠH ague",
+      "orm an",
+      "ĠSt ain",
+      "Ġgener ational",
+      "Ġsmooth ies",
+      "Ġhur ried",
+      "Ġneurolog ic",
+      "Ġarom as",
+      "ikh ail",
+      "ĠOrn ith",
+      "/ *",
+      "Ġs f",
+      "Ġd l",
+      "Ġst raining",
+      "Ġch ats",
+      "ĠR hy",
+      "ĠN erve",
+      "Ġtime zone",
+      "Ġimpro b",
+      "ĠSh ale",
+      "Ġwhite board",
+      "OT O",
+      "ĠÃ ģ",
+      "Ġblog ger",
+      "ĠPers u",
+      "Pred ict",
+      ", *",
+      "Ã µ",
+      "Ġp lex",
+      "Ġm ater",
+      "ĠP ak",
+      "ĠR osh",
+      "ĠG RO",
+      "ĠK and",
+      "Ġcons oles",
+      "ĠY ak",
+      "Ġappro ving",
+      "Ġorgan isational",
+      "ĠSe y",
+      "ĠSh am",
+      "Ġbi ore",
+      "Ġrele gated",
+      "Res et",
+      "iter ator",
+      "ĠMc D",
+      "Ġsac s",
+      "ĠTool kit",
+      "Ġkilow att",
+      "Ġmischie vous",
+      "a edia",
+      "re call",
+      "Ġe urope",
+      "ol ian",
+      "ĠM iz",
+      "ĠD j",
+      "act in",
+      "Ġcl own",
+      "ph ysics",
+      "row ave",
+      "Wh ole",
+      "Ġspread sheets",
+      "atur a",
+      "Ġbul ld",
+      "ĠDay ton",
+      "len ame",
+      "ĠRob ots",
+      "Form er",
+      ":` ~",
+      "Ġpert ussis",
+      "atern ion",
+      "GP U",
+      "ĠDias pora",
+      "ge om",
+      "est hetics",
+      "ĠN ice",
+      "Ġpr uned",
+      "Ġrest lessness",
+      "ĠX L",
+      "ĠAust ro",
+      "Ġprecip itate",
+      "Ġaffirm ing",
+      "Ġdisp oss",
+      "ĠHumb oldt",
+      "Ġb anners",
+      "ĠT EM",
+      "am om",
+      "ĠH ass",
+      "ĠD iane",
+      "ach ie",
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+      "Ġpoll inator",
+      "rap ists",
+      "-------------------------------- ----------",
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+      "Ġjudge ments",
+      "Ġstere otypical",
+      "ĠCard iac",
+      "Ġmultip rocessing",
+      "Ġupset ting",
+      "Educ ational",
+      "Press ure",
+      "Ġlubric ant",
+      "ĠKyr gyz",
+      ": (",
+      "R ound",
+      "ĠP ascal",
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+      "con ventional",
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+      "Ġcan ning",
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+      "Ġun important",
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+      "Ã ¹",
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+      "Ġpace maker",
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+      "st ral",
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+      "ĠTim ber",
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+      "ORD ER",
+      "ĠDesc riptive",
+      "ĠOs iris",
+      "ĠHaz ards",
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+      "Christ mas",
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+      "? *",
+      "M EM",
+      "Ġa rab",
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+      "Ġst rom",
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+      "ĠP ossibly",
+      "Ġtake aways",
+      "ĠIs hma",
+      "Ex port",
+      "Ġder og",
+      "ĠÐ ±",
+      "Ġhero ine",
+      "ĠDel icious",
+      "Ġblind ed",
+      "Ġchlor oplast",
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+      "Ġstrat osphere",
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+      "Ġmac kerel",
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+      "c ine",
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+      "Ð Ĵ",
+      "Ġy oke",
+      "ĠG oose",
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+      "Ġce mented",
+      "ĠHur on",
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+      "Ġtoss ing",
+      "ĠDin osaur",
+      "ĠMack enzie",
+      "Ġnymph s",
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+      "c ampus",
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+      "ĠE isen",
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+      "ĠGu itar",
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+      "ĠBud apest",
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+      "Ġoct op",
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+      "ve au",
+      "ĠC oul",
+      "ĠM n",
+      "ĠO C",
+      "Ġem er",
+      "ĠCl air",
+      "Ġ_ ('",
+      "Ġfoot notes",
+      "Ġsynt actic",
+      "Ġsmooth ie",
+      "ĠEp stein",
+      "ĠProduct ivity",
+      "cop rote",
+      "Ġsnipp ets",
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+      "PRE FIX",
+      "hof er",
+      "quart ered",
+      "E t",
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+      "ĠD G",
+      "Ġall igator",
+      "Ġper ks",
+      "ĠSe ymour",
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+      "Ġphys iotherapy",
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+      "ium s",
+      "(\" #",
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+      "Ġl w",
+      "Ġan c",
+      "ĠM iriam",
+      "Ġj uncture",
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+      "Ġplan ter",
+      "ĠZ ip",
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+      "ET H",
+      "Ġboard ed",
+      "Ġbow ling",
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+      "Ġbiomark er",
+      "in u",
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+      "Ġy a",
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+      "ĠB acillus",
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+      "ĠE q",
+      "ĠR FC",
+      "pl ier",
+      "ĠL una",
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+      "ib ar",
+      "Ġ' @",
+      "Ġref ute",
+      "ĠThere after",
+      "ĠEng el",
+      "Ġz yg",
+      "Ġprob ate",
+      "ĠTrans gender",
+      "Ġmouth wash",
+      "ago ons",
+      "ĠInc red",
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+      "h ogs",
+      "n ies",
+      "w ine",
+      "à §",
+      "Ġo asis",
+      "Ġw igg",
+      "Ġth orns",
+      "om ile",
+      "ĠT ie",
+      "op on",
+      "Ġhe arth",
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+      "em i",
+      "Ġcol ic",
+      "Ġdesc ends",
+      "Ġax le",
+      "UR S",
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+      "Ġmult il",
+      "Ġbi otic",
+      "ĠCont rolling",
+      "Ġdro plet",
+      "Ġtoxic ology",
+      "ĠSal on",
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+      "Ġnod ding",
+      "Diff erence",
+      "Ġretro fit",
+      "Ġboss es",
+      "ĠBreast feeding",
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+      "Ġbro kers",
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+      "sc opy",
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+      "ĠComp ound",
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+      "Ġmist reatment",
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+      "Ġchicken pox",
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+      "Ind ones",
+      "Ed ited",
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+      "Ġthumb nail",
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+      "ĠMon teneg",
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+      "Ġfled gling",
+      "åĬ ł",
+      "ĠInstance Preprocess",
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+      "ĠS ass",
+      "ĠM UST",
+      "ĠP ocket",
+      "ĠH ockey",
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+      "te ins",
+      "ĠV oc",
+      "ĠY ours",
+      "Ġco als",
+      "Ġref inery",
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+      "Ġge os",
+      "Ġhost age",
+      "Ġmis chief",
+      "Ġcop ious",
+      "Ġcogn iz",
+      "hard ware",
+      "ĠBuild er",
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+      "p ause",
+      "Ġt rol",
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+      "ĠD yn",
+      "ĠR ao",
+      "ĠL osing",
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+      "ĠCh opin",
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+      "av it",
+      "int rinsic",
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+      "Ġcur ling",
+      "Ġdeep copy",
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+      "ST OP",
+      "Ġtri pled",
+      "Ġ\\ *",
+      "ĠPat agon",
+      "ĠUlt rasound",
+      "ĠEp isode",
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+      "BL ANK",
+      "Ġbon uses",
+      "Ġoint ment",
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+      "W et",
+      "m r",
+      "Ä Ļ",
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+      "ĠS urg",
+      "um ar",
+      "ĠW uhan",
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+      "ĠDe e",
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+      "ĠMal d",
+      "Ġfly ers",
+      "lass ical",
+      "ĠDomin ion",
+      "Ġaffection ate",
+      "Ġling ered",
+      "Interest ing",
+      "ĠEvangel ical",
+      "Ġaust ral",
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+      "\" %",
+      "\" />",
+      "ĠT LS",
+      "ĠS ear",
+      "ĠW ak",
+      "Ġch ond",
+      "Ġup risings",
+      "Ġunder lies",
+      "Ġcons ort",
+      "Ġsm ashed",
+      "aw ait",
+      "ĠRe pt",
+      "Ġbo asting",
+      "ĠBrit ons",
+      "ĠMon et",
+      "Ġapprox im",
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+      "Ġeard rum",
+      "g irl",
+      "l id",
+      "m elt",
+      "Ġp ts",
+      "Ġp ont",
+      "ar h",
+      "ĠM k",
+      "ĠM ommy",
+      "ĠB low",
+      "Ġr aspberries",
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+      "Ġdis heart",
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+      "hes i",
+      "aw ak",
+      "angu ard",
+      "ĠTra umatic",
+      "Ġang ina",
+      "ĠDis par",
+      "Ġwall ed",
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+      "Ġconsumer ism",
+      "ĠPo et",
+      "Ġtowns hips",
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+      "ĠIndex Error",
+      "po inter",
+      "ĠKab bal",
+      "Bal ance",
+      "Ġmagist rate",
+      "s ock",
+      "Ġb onsai",
+      "ĠW orse",
+      "ĠD up",
+      "ĠR het",
+      "ĠL ok",
+      "ne ut",
+      "Ġfood stuffs",
+      "Ġve x",
+      "Ġopt omet",
+      "esc ue",
+      "Ġwond rous",
+      "ĠPres cription",
+      "Ġax ons",
+      "Ġvalid ators",
+      "Ġcounter clockwise",
+      "OT H",
+      "ĠST AR",
+      "Ġtorch vision",
+      "Ġforg iving",
+      "Ġvan ity",
+      "relations hips",
+      "ĠTraffic king",
+      "in clusive",
+      "in flation",
+      "ol ingu",
+      "ĠE hr",
+      "Ġdis integration",
+      "ĠU panish",
+      "ong ing",
+      "ne arest",
+      "Ġtrans pose",
+      "Ġgra bs",
+      "ash ions",
+      "St em",
+      "Ġnet ting",
+      "aim on",
+      "ĠAb ram",
+      "Ġempt ied",
+      "NS F",
+      "ĠMaster y",
+      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
+      "ĠEmb ry",
+      "ĠAff irm",
+      "ĠSem i",
+      "Ġprox ies",
+      "Ġadul ter",
+      "ĠMembers hip",
+      "ĠJos iah",
+      "Ġexpans ions",
+      "Ġspraw l",
+      "M apper",
+      "re ve",
+      "Ġb ids",
+      "Ġre cl",
+      "ĠS DS",
+      "ĠL ia",
+      "Ġfol ly",
+      "und ance",
+      "tain able",
+      "(\" ./",
+      "ĊĠĠĠĠ ĊĠĠĠĠ",
+      "ĠUN HCR",
+      "pers ons",
+      "fold ed",
+      "Ġtransf usions",
+      "sn ake",
+      "Ġasym metrical",
+      "Doc uments",
+      "è¿ Ļ",
+      "ĠClay ton",
+      "Ġprogen itor",
+      "J osh",
+      "s old",
+      "Ġt inct",
+      "Ġas part",
+      "Ġv ets",
+      "Ġsu do",
+      "ĠV OC",
+      "Ġconn otation",
+      "new axis",
+      "play list",
+      "Ġund eveloped",
+      "Ġrepe aled",
+      "Ġconserv atism",
+      "Ġham per",
+      "Ġdecom posed",
+      "Ġpredis posed",
+      "Ġcrus ade",
+      "Ġtect onics",
+      "ĠWitness es",
+      "Ġbarbec ue",
+      "F ear",
+      "Z en",
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+      "ĠC ig",
+      "Ġun ob",
+      "ile psy",
+      "Ġtw inkling",
+      "ym l",
+      "Ġemphas ise",
+      "trans istors",
+      "Ġsecret ive",
+      "Ġposter ity",
+      "Ġpist ol",
+      "Ġpatrol s",
+      "Ġsupers eded",
+      "Ġspo iled",
+      "ĠMau i",
+      "ĠCliff ord",
+      "M ul",
+      "M AS",
+      "m useum",
+      "s oup",
+      "t all",
+      "Ġ à¨",
+      "er ick",
+      "Ġn ih",
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+      "ĠR az",
+      "ĠO SA",
+      "Ġrem un",
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+      "prim arily",
+      "ĠÅ ļ",
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+      "Q ual",
+      "h urt",
+      "k illing",
+      "u ag",
+      "ĠN ino",
+      "ĠJ unction",
+      "ĠSt am",
+      "ĠV O",
+      "Ġac up",
+      "Ġbro om",
+      "Ġspring time",
+      "Ġparallel ism",
+      "cf m",
+      "cut off",
+      "ĠSD G",
+      "ĠiP od",
+      "Ġausp icious",
+      "TEM PL",
+      "Ġfatig ued",
+      "ĠAmend ments",
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+      "c ms",
+      "Ġbe gg",
+      "ĠA ene",
+      "oc ort",
+      "Ġab using",
+      "Ġun ites",
+      "Ġimport ation",
+      "ĠAn al",
+      "') ;",
+      "Ġmid day",
+      "Ġlib erate",
+      "Ġpractical ity",
+      "Ġtur ret",
+      "ĠGal veston",
+      "ĠProm ise",
+      "Organ ization",
+      "Ġbarn s",
+      "ĠClare nce",
+      "Ġquar rel",
+      "intern et",
+      "éĩ ı",
+      "Ġpleas urable",
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+      "i u",
+      "k ick",
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+      "iv ir",
+      "ĠB ologna",
+      "ĠH ors",
+      "ĠE rd",
+      "ĠJ orge",
+      "ph thal",
+      "Ġrec itation",
+      "ĠUn locking",
+      "Ġatt ends",
+      "Ġrep ressive",
+      "Ġtake over",
+      "Ġselect or",
+      "Ġfru ition",
+      "Ġappropri ateness",
+      "Ġtherm odynamic",
+      "Ġgirl friend",
+      "Ġartic ulating",
+      "ĠKind le",
+      "Ġventric les",
+      "Ġdecis ively",
+      "/ __",
+      "Ġp ounding",
+      "an um",
+      "Ġst arl",
+      "ĠM b",
+      "Ġim itating",
+      "Ġsp i",
+      "ĠV ascular",
+      "Ġmod ulated",
+      "Ġexp ended",
+      "Ġsun screens",
+      "ĠMan or",
+      "ĠSw imming",
+      "RO S",
+      "Ġunivers ality",
+      "Ġmamm ary",
+      "Am ount",
+      "CON N",
+      "Ġupload ing",
+      "ĠEld ers",
+      "Mind fulness",
+      "Ġantis em",
+      "Ġextingu ished",
+      "Ġzomb ie",
+      "k its",
+      "Î ®",
+      "ri pe",
+      "ĠU DP",
+      "ĠCom plications",
+      "Ġpar athyroid",
+      "Ġpost age",
+      "For ward",
+      "Ġmis placed",
+      "ĠST ART",
+      "ĠDem ographic",
+      "uh r",
+      "Ġzo oplankton",
+      "Ġµ g",
+      "cig arette",
+      "Ġcytok ine",
+      "Ġquir ks",
+      "ĠHyder abad",
+      "B one",
+      "L ed",
+      "L IB",
+      "b rief",
+      "å ij",
+      "en arios",
+      "Ġg uts",
+      "ĠA edes",
+      "ĠS ands",
+      "Pro s",
+      "ĠOrgan izing",
+      "Ġcompound ing",
+      "ĠMah ayana",
+      "bu querque",
+      "Ġmi RNAs",
+      "ĠPharm acy",
+      "canc erous",
+      "Ġdishwas her",
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+      "ul c",
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+      "Ġdef lect",
+      "ĠPr as",
+      "Ġfacilit ators",
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+      "Ġdebt or",
+      "Ġdys ph",
+      "ĠPain e",
+      "Check Box",
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+      "Ġrust ic",
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+      "Ġdetain ees",
+      "oflav in",
+      "p itched",
+      "Ġa h",
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+      "ans i",
+      "Ġte asing",
+      "ĠSt rain",
+      "Ġmod ifiers",
+      "Ġret raction",
+      "start s",
+      "Ġeffort less",
+      "Ġtrou sers",
+      "Ġban ished",
+      "Inst itute",
+      "Pre vent",
+      "ĠLoad ing",
+      "æĸĩ 件",
+      "terror ism",
+      "s essions",
+      "æ ĭ",
+      "ĠE rin",
+      "Ġte x",
+      "py lob",
+      "St ra",
+      "IN DEX",
+      "ĠCont inent",
+      "ait a",
+      "loc ale",
+      "Int f",
+      "(( (",
+      "Ġbio energy",
+      "stack overflow",
+      "elect ronic",
+      "Ġapt ly",
+      "ĠEt rus",
+      "Ġantagon ists",
+      "Ġastroph ysics",
+      "Isa iah",
+      "LG BT",
+      "F ruit",
+      "o auth",
+      "Ġs ages",
+      "ĠM erg",
+      "ĠB om",
+      "ĠH ISTORY",
+      "Ġch ants",
+      "ĠN arrow",
+      "ast ore",
+      "ĠâĢĵ âĢĵâĢĵ",
+      "ins ular",
+      "Ġec lectic",
+      "Ġcamp fire",
+      "ret rieve",
+      "ĠHig gins",
+      "Ġbrut ally",
+      "ĠSN Ps",
+      "ĠChamp ion",
+      "Ġeloqu ent",
+      "i eth",
+      "Ġy olks",
+      "Ġex ogenous",
+      "ĠL iability",
+      "Ġinf lection",
+      "ĠCon ver",
+      "ĠCon ventions",
+      "uss ing",
+      "Ġwrong doing",
+      "ĠPat rol",
+      "OT HER",
+      "ĠUN F",
+      "Ġreform er",
+      "ĠSil ence",
+      "ĠLy ons",
+      "Ġheal ers",
+      "ĠShow ing",
+      "ĠBegin ners",
+      "Ġly rical",
+      "ĠSkin ner",
+      "Sam uel",
+      "Ġlogarith mic",
+      "Ġpromul gated",
+      "ĠQué bec",
+      "B H",
+      "Y outh",
+      "Ġh acks",
+      "ĠC umm",
+      "Ġch ia",
+      "Ġse rendip",
+      "Ġar mp",
+      "Ġout age",
+      "Ġsk incare",
+      "ĠAnd ersen",
+      "ĠAm nesty",
+      "Cl ark",
+      "Ġannual s",
+      "Ġdeliver ance",
+      "ĠSte iner",
+      "ĠWil kins",
+      "Ġcrow ding",
+      "ĠRom ances",
+      "Ġchron icle",
+      "ĠSynt ax",
+      "Ġvas cul",
+      "æī Ģ",
+      "Face book",
+      "Ġspoil age",
+      "ĠGrad ient",
+      "ĠFut ures",
+      "Ġergon omic",
+      "ir ium",
+      "ĠB old",
+      "Ġind igo",
+      "Ġra ke",
+      "Ġover h",
+      "ll is",
+      "Ġno zzles",
+      "ĠCl ouds",
+      "Ġec ologists",
+      "ĠPol ly",
+      "-------------------------------- --------",
+      "Ġflex ion",
+      "Ġfr aternity",
+      "Ġchecks um",
+      "ĠCharacter ization",
+      "ĠÅ ł",
+      "Ġorphan ed",
+      "Ġtheat res",
+      "Recomm end",
+      "Ġgalvan ized",
+      "Ġdissoci ation",
+      "Ġhydroly sis",
+      "||= ||",
+      "> )",
+      "M ach",
+      "Ġp ter",
+      "ĠT aft",
+      "ĠW iring",
+      "ĠE nder",
+      "ĠN ON",
+      "Ġun broken",
+      "ĠK olk",
+      "Ġdep ressions",
+      "Ġdid actic",
+      "'] =",
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+      "opa edic",
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+      "hon ored",
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+      "d printing",
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+      "ar ak",
+      "ĠS HA",
+      "ĠH ild",
+      "ĠW I",
+      "ĠR d",
+      "og gy",
+      "ĠN OR",
+      "ĠJ ing",
+      "ens in",
+      "Ġpre existing",
+      "Ġinv oice",
+      "EN CES",
+      "Ġcounter productive",
+      "Ġpick les",
+      "omer ase",
+      "Ġalert ed",
+      "ĠCorn elius",
+      "desc ribe",
+      "ĠPul monary",
+      "ÏĢ ο",
+      "Ġrecharge able",
+      "ĠGert rude",
+      "B arn",
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+      "P RI",
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+      "act us",
+      "ak able",
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+      "Ġlabor ious",
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+      "ĠRel ativity",
+      "ĠMark ov",
+      "Ġfalse hood",
+      "Ġrough ness",
+      "Ġcareg iving",
+      "ĠTun is",
+      "Compar ison",
+      "Ġdiure tic",
+      "ke gee",
+      "Ġwork able",
+      "ĠHe ads",
+      "Ġed itable",
+      "Ġbo oth",
+      "Ġtot aling",
+      "ha ft",
+      "Ġdecre ed",
+      "ĠGl ucose",
+      "ĠEl astic",
+      "trans formed",
+      "call backs",
+      "Ġdoor step",
+      "ĠEnc ryption",
+      "Ġcust od",
+      "ĠImport ing",
+      "ĠHI PAA",
+      "Luck ily",
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+      "Ġm oor",
+      "Ġth ru",
+      "ĠW ra",
+      "ĠR PM",
+      "ri ps",
+      "all ocation",
+      "ĠO mar",
+      "Ġsp ondyl",
+      "ax anthin",
+      "ĠMin imal",
+      "ĠFin ish",
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+      "Ġmilit ias",
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+      "ĠT rium",
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+      "Ġcomp lying",
+      "Ġdep recated",
+      "Ġel m",
+      "app les",
+      "Ġide ation",
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+      "Ġres umes",
+      "con vers",
+      "Ġem ancip",
+      "we bs",
+      "Ġinf requently",
+      "for cing",
+      "ĠPr inter",
+      "Ġport ability",
+      "Ġsat iety",
+      "ĠKe yn",
+      "Ġsav anna",
+      "ref s",
+      "Ġmac rom",
+      "Ġleaf let",
+      "Ġhills ide",
+      "Ġbibli ographic",
+      "Ġwre ak",
+      "ĠLaure nce",
+      "Ġcass er",
+      "ĠAdvoc ates",
+      "d ogs",
+      "t ower",
+      "Ġf end",
+      "as pect",
+      "Ġl uke",
+      "ur istics",
+      "oc arp",
+      "Ġrest rain",
+      "amp unk",
+      "Ġtext ured",
+      "Ġfire walls",
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+      "RO L",
+      "ĠChar lemagne",
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+      "Ġfung icide",
+      "Ġelectr ification",
+      "Ġlute in",
+      "Ġshorth and",
+      "L ENGTH",
+      "T CP",
+      "c itation",
+      "f ps",
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+      "t itles",
+      "is nan",
+      "ut ics",
+      "ĠS is",
+      "ĠD iver",
+      "Ġpre clude",
+      "Ġbi oc",
+      "Ġprec inct",
+      "Ġnit rite",
+      "ĠCrit ique",
+      "ĠHad rian",
+      "Oper ating",
+      "Ġanonym ously",
+      "Ġsimmer ing",
+      "D elivery",
+      "F ried",
+      "c x",
+      "i pt",
+      "Ġe ut",
+      "ĠA O",
+      "ab h",
+      "ĠO edipus",
+      "uch a",
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+      "ch osen",
+      "ĠR ET",
+      "ĠIn jection",
+      "Ġj a",
+      "ĠCh ihu",
+      "Ġacc use",
+      "ov ir",
+      "ĠAl gon",
+      "NA MES",
+      "class ic",
+      "Ġgeneral ize",
+      "Al ign",
+      "Ġpay loads",
+      "ĠProf essors",
+      "Ġauthent icated",
+      "Ġune ase",
+      "Ġinert ial",
+      "ĠLect ures",
+      "ĠAuthent ic",
+      "ĠFro zen",
+      "ĠPup ils",
+      "R ing",
+      "nd t",
+      "Ġsl urry",
+      "ĠWhat s",
+      "ĠGo es",
+      "Sc ene",
+      "Sc enario",
+      "Ġmyth ologies",
+      "ĠParticip ating",
+      "Ġreset tlement",
+      "Brit ain",
+      "ĠEmphas ize",
+      "Ġoverhe ard",
+      "assertIs Instance",
+      "çł ģ",
+      "B enny",
+      "C LE",
+      "N ick",
+      "U k",
+      "Ġpro j",
+      "op o",
+      "ĠF ram",
+      "ĠL akota",
+      "Ġwho oping",
+      "ĠK NOW",
+      "Ġrep ub",
+      "ĠSh ang",
+      "ann ie",
+      "ĠCent uries",
+      "mod es",
+      "oph obic",
+      "Ġmag ically",
+      "Ġintellig ently",
+      "Ġexcess es",
+      "enth al",
+      "Ġhygi enic",
+      "Ġbare foot",
+      "ĠYe ast",
+      "ĠReturn ing",
+      "Ġpharmac ology",
+      "ε Ïģ",
+      "ĠGib bs",
+      "Ġdecentral ization",
+      "Ġunbear able",
+      "M olecular",
+      "T ick",
+      "V ENT",
+      "t if",
+      "Ù ĥ",
+      "al and",
+      "Ġf uses",
+      "Ġm alls",
+      "Ġl apse",
+      "Ġy in",
+      "Ġsu cked",
+      "Ex am",
+      "Ġinstruct ing",
+      "ĠSam antha",
+      "uls ed",
+      "Ġdu ke",
+      "MP s",
+      "ĠHaw kins",
+      "Ġcompens atory",
+      "Ġsumm ertime",
+      "Ġcroc het",
+      "ĠFilip inos",
+      "otoxic ity",
+      "Ġsuperconduct ing",
+      "Ye ah",
+      "ĠSidd h",
+      "pylob acter",
+      "b omb",
+      "Ġw ikipedia",
+      "an ah",
+      "an imals",
+      "st asy",
+      "ĠT EXT",
+      "Ġst encil",
+      "ĠC ited",
+      "op ods",
+      "ĠH itch",
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+      "Ġpart isans",
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+      "anc o",
+      "Ġplan ks",
+      "Ġopp oses",
+      "Ġphys ique",
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+      "Ġhead first",
+      "Ġut tered",
+      "Ġcig ar",
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+      "åı ·",
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+      "ĠTax es",
+      "Ġsnack ing",
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+      "rough ly",
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+      "Ġprov oking",
+      "Ġimpro vised",
+      "Ġcheck points",
+      "Ġtri ad",
+      "Ġep ics",
+      "ĠAnt im",
+      "ĠSal vation",
+      "ĠPhil ist",
+      "Dr inking",
+      "Ġven eration",
+      "Gu ard",
+      "Ġreass ure",
+      "ĠBlu eprint",
+      "Ġevapor ated",
+      "HEAD ER",
+      "] \",",
+      "f us",
+      "at ius",
+      "ĠC hess",
+      "ĠM ard",
+      "ĠD iction",
+      "Ġwas tage",
+      "Ġcl f",
+      "Ġ' :",
+      "hen es",
+      "Ġed ifice",
+      "Ġlight ed",
+      "Ġsize able",
+      "Ġver mic",
+      "Ġselect ivity",
+      "Ġbar bed",
+      "Ġbattle fields",
+      "ĠSun shine",
+      "Sp ain",
+      "di ameter",
+      "Fig ures",
+      "cir ca",
+      "ĠCompet itive",
+      "ĠCarm el",
+      "Ġdishon esty",
+      "Ġorthodox y",
+      "neur ons",
+      "fet ched",
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+      "ĠF ountain",
+      "Ġdis closing",
+      "de ck",
+      "Ġfact oring",
+      "ĠSh into",
+      "Ġsuper flu",
+      "Ġstandard ised",
+      "ĠNe on",
+      "Time out",
+      "Ġdisp ens",
+      "Ġsmok y",
+      "Ġsprou ted",
+      "Ġimagin able",
+      "ĠTemper atures",
+      "ĠTub man",
+      "ĠGenealog y",
+      "G ly",
+      "f lying",
+      "p overty",
+      "t ips",
+      "ĠC ors",
+      "ĠM im",
+      "pp o",
+      "ĠH ask",
+      "ĠU R",
+      "ub ation",
+      "ĠK iev",
+      "ĠCh avez",
+      "ex cluding",
+      "over lay",
+      "Ġmar ig",
+      "Ġbra ch",
+      "ĠHam as",
+      "ĠWal ton",
+      "Ġrevol ved",
+      "ĠCatal onia",
+      "ĠLaure n",
+      "ĠKab ul",
+      "ozyg ous",
+      "T ier",
+      "] ][",
+      "l ut",
+      "Ġb athe",
+      "Ġin sofar",
+      "ĠC ope",
+      "od b",
+      "Ġ\" ))",
+      "ĠTh row",
+      "Ġun met",
+      "Ġsupp resses",
+      "ink a",
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+      "ĠAug mented",
+      "ĠSur real",
+      "ij n",
+      "ĠCare y",
+      "ĠEqu ally",
+      "div ide",
+      "ĠCM OS",
+      "Bul lying",
+      "ĠLaf ayette",
+      "G y",
+      "Ġm ids",
+      "ch ips",
+      "Ġpre l",
+      "Ġass uring",
+      "Ġdel usions",
+      "arc o",
+      "oph armac",
+      "ĠGen erations",
+      "ĠWilliams on",
+      "Ġnov o",
+      "ĠPale olithic",
+      "compet itive",
+      "ĠYan kee",
+      "Ġdend ritic",
+      "ĠPropag anda",
+      "Ġorang utans",
+      "ĠSovere ign",
+      "Ġvolley ball",
+      "C BD",
+      "x ism",
+      "he ment",
+      "ĠM ater",
+      "ER AL",
+      "fl oating",
+      "ED S",
+      "Ġcommerc ials",
+      "Se ek",
+      "unk er",
+      "ĠAD C",
+      "ĠIdent ities",
+      "Ġcarb ide",
+      "Ġbrow ning",
+      "ĠSir i",
+      "May a",
+      "Ġarom atherapy",
+      "Ġreass ured",
+      "Ġmelt down",
+      "Emer gency",
+      "ĠTrag edy",
+      "ĠSTE AM",
+      "ĠThess alon",
+      "Ġpung ent",
+      "F REE",
+      "L if",
+      "om ia",
+      "Ġex fol",
+      "ĠM ama",
+      "ect able"
+    ]
+  }
+}
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/t2i_tokenizer.json b/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/t2i_tokenizer.json
new file mode 100644
index 0000000000..23df0f53e5
--- /dev/null
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/t2i_tokenizer.json
@@ -0,0 +1,49540 @@
+{
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+    "strategy": "LongestFirst",
+    "stride": 0
+  },
+  "padding": {
+    "strategy": "BatchLongest",
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+    "pad_to_multiple_of": 77,
+    "pad_id": 49407,
+    "pad_type_id": 0,
+    "pad_token": "<|endoftext|>"
+  },
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+      "special": true,
+      "content": "<|startoftext|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true
+    },
+    {
+      "id": 49407,
+      "special": true,
+      "content": "<|endoftext|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true
+    }
+  ],
+  "normalizer": {
+    "type": "BertNormalizer",
+    "clean_text": true,
+    "handle_chinese_chars": true,
+    "strip_accents": null,
+    "lowercase": true
+  },
+  "pre_tokenizer": {
+    "type": "BertPreTokenizer"
+  },
+  "post_processor": {
+    "type": "TemplateProcessing",
+    "single": [
+      {
+        "SpecialToken": {
+          "id": "<|startoftext|>",
+          "type_id": 0
+        }
+      },
+      {
+        "Sequence": {
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+          "type_id": 0
+        }
+      },
+      {
+        "SpecialToken": {
+          "id": "<|endoftext|>",
+          "type_id": 0
+        }
+      }
+    ],
+    "pair": [
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+        "SpecialToken": {
+          "id": "<|startoftext|>",
+          "type_id": 0
+        }
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+      {
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+          "id": "A",
+          "type_id": 0
+        }
+      },
+      {
+        "SpecialToken": {
+          "id": "<|endoftext|>",
+          "type_id": 0
+        }
+      },
+      {
+        "Sequence": {
+          "id": "B",
+          "type_id": 1
+        }
+      },
+      {
+        "SpecialToken": {
+          "id": "<|endoftext|>",
+          "type_id": 1
+        }
+      }
+    ],
+    "special_tokens": {
+      "bos_token": {
+        "id": "<|startoftext|>",
+        "ids": [49406],
+        "tokens": ["<|startoftext|>"]
+      },
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+        "id": "<|endoftext|>",
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+        "tokens": ["<|endoftext|>"]
+      },
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+        "tokens": ["<|endoftext|>"]
+      }
+    }
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+    "prefix": "",
+    "add_prefix_space": false,
+    "cleanup": true
+  },
+  "model": {
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new file mode 100644
index 0000000000..3731422406
--- /dev/null
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/tokenizer.json
@@ -0,0 +1,30675 @@
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+    }
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+}
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/whisper_tokenizer.json b/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/whisper_tokenizer.json
new file mode 100644
index 0000000000..ee4d3cb73a
--- /dev/null
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/whisper_tokenizer.json
@@ -0,0 +1,114840 @@
+{
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+  "padding": null,
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+      "Ġdiscl ose",
+      "Ġtransl ate",
+      "Ġimm igrant",
+      "Ġannoy ing",
+      "Ġtreat y",
+      "an ium",
+      "ĠTe a",
+      "ĠLeg ion",
+      "Ġcrowd s",
+      "ĠB ec",
+      "ĠA er",
+      "oh yd",
+      "B ro",
+      "Look ing",
+      "Ġl bs",
+      "Ġagg ress",
+      "Ġse am",
+      "Ġinter cept",
+      "ĠM I",
+      "mer cial",
+      "act iv",
+      "ĠC it",
+      "Ġdim ension",
+      "Ġconsist ency",
+      "Ġr ushing",
+      "ĠDou glas",
+      "Ġtr im",
+      "Inst all",
+      "ick er",
+      "Ġsh y",
+      "10 6",
+      "Ġment ions",
+      "pe lled",
+      "ĠT ak",
+      "c ost",
+      "Ġclass room",
+      "Ġfort une",
+      "dri ven",
+      "Ġun le",
+      "ĠWhe el",
+      "Ġinvest or",
+      "ĠM asters",
+      "k it",
+      "Ġassoci ations",
+      "ĠEv olution",
+      "op ing",
+      "us cript",
+      "Ġprov incial",
+      "ĠWal ter",
+      "av i",
+      "S O",
+      "Ġun limited",
+      "Eng lish",
+      "ĠC ards",
+      "ĠEb ola",
+      "ne red",
+      "Ġreven ge",
+      "Ġout right",
+      "um per",
+      "Ġf itting",
+      "ĠSol id",
+      "Ġform ally",
+      "Ġproblem atic",
+      "Ġhaz ard",
+      "Ġenc ryption",
+      "Ġstraight forward",
+      "ĠA K",
+      "Ġp se",
+      "ĠOr b",
+      "ĠCh amber",
+      "ĠM ak",
+      "Cont ents",
+      "Ġloyal ty",
+      "Ġl yrics",
+      "ĠSy m",
+      "Ġwel comed",
+      "Ġcook ed",
+      "Ġmon op",
+      "Ġn urse",
+      "Ġmis leading",
+      "Ġe ternal",
+      "Ġshif ting",
+      "Ġ+ =",
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+      "Ġinst itutional",
+      "ill ary",
+      "Ġp ant",
+      "VER T",
+      "ĠA CC",
+      "ĠEn h",
+      "Ġinc on",
+      "ĠRE UTERS",
+      "Ġdon ated",
+      "âĢ¦âĢ¦ âĢ¦âĢ¦",
+      "In tern",
+      "Ġexhib it",
+      "Ġt ire",
+      "ĠR ic",
+      "ĠCh ampion",
+      "ĠMu hammad",
+      "N ING",
+      "ĠSoc cer",
+      "Ġmob ility",
+      "Ġvary ing",
+      "ĠM ovie",
+      "Ġl ord",
+      "o ak",
+      "F ield",
+      "Ġve ctor",
+      "us ions",
+      "Ġsc rap",
+      "Ġen abling",
+      "m ake",
+      "T or",
+      ". *",
+      "| |",
+      "ĠWe bsite",
+      "ĠN PC",
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+      "ĠBill y",
+      "ĠAdd itional",
+      "Ġc argo",
+      "Ġfar ms",
+      "ĠSo on",
+      "ĠPri ze",
+      "Ġmid night",
+      "Ġ9 00",
+      "se en",
+      "ĠSp ot",
+      "Ġshe ep",
+      "Ġspons ored",
+      "ĠH i",
+      "ĠJ ump",
+      "Ġ19 67",
+      "Micro soft",
+      "ĠAg ent",
+      "Ġch arts",
+      "d ir",
+      "Ġadj acent",
+      "Ġtr icks",
+      "Ġman ga",
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+      "/ >",
+      "foot ball",
+      "ĠF CC",
+      "G C",
+      "ĠT ier",
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+      "OU ND",
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+      "Ġfru its",
+      "V C",
+      "ĠA A",
+      "R ober",
+      "Ġmid st",
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+      "Ġtour ists",
+      "\" \"",
+      "ĠWar ning",
+      "ĠNever theless",
+      "ĠOffic ial",
+      "ĠWh atever",
+      "Ġm old",
+      "Ġdraft ed",
+      "Ġsubst ances",
+      "Ġbre ed",
+      "Ġt ags",
+      "ĠT ask",
+      "Ġver b",
+      "Ġmanufact ured",
+      "com ments",
+      "ĠPol ish",
+      "Pro v",
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+      "Ġutter ly",
+      "Ġse ct",
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+      "ĠG ates",
+      "ĠCh ap",
+      "Ġal uminum",
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+      "ĠU P",
+      "Ġsatisf y",
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+      "asc ript",
+      "Ġelabor ate",
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+      "ĠV ari",
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+      "Ġs ir",
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+      "ick ets",
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+      "re ed",
+      "re ated",
+      "Su pp",
+      "Ġwr ist",
+      "ĠK erry",
+      "10 7",
+      "ĠK le",
+      "ĠR achel",
+      "Ġc otton",
+      "ĠA RE",
+      "ĠE le",
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+      "Ġaut ism",
+      "support ed",
+      "ĠM essage",
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+      "Ġ10 9",
+      "ĠHur ricane",
+      "c ision",
+      "Ġcy cles",
+      "Ġdr ill",
+      "Ġcolle ague",
+      "Ġm aker",
+      "G erman",
+      "Ġmist aken",
+      "S un",
+      "ĠG ay",
+      "Ġwhat soever",
+      "Ġsell s",
+      "ĠA irl",
+      "l iv",
+      "ĠO ption",
+      "Ġsol ved",
+      "Ġse ctors",
+      "Ġhorizont al",
+      "Ġequ ation",
+      "ĠSk ill",
+      "ĠB io",
+      "g ement",
+      "ĠSn ap",
+      "ĠLeg al",
+      "Ġtradem ark",
+      "Ġmake up",
+      "Ġassemb led",
+      "Ġsa ves",
+      "ĠHallow een",
+      "ĠVer mont",
+      "ĠFR OM",
+      "Ġfar ming",
+      "ĠP odcast",
+      "accept able",
+      "ĠHig her",
+      "Ġas leep",
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+      "Ġrefere n",
+      "ĠLe v",
+      "Ġbul lets",
+      "ok o",
+      "H C",
+      "Ġst airs",
+      "Ġmain tains",
+      "ĠL ower",
+      "ĠV i",
+      "Ġmar ine",
+      "Ġac res",
+      "Ġcoordin ator",
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+      "ĠBrother s",
+      "Ġind ict",
+      "b ra",
+      "Ġch unk",
+      "Ġc ents",
+      "H ome",
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+      "H ub",
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+      "ĠHoll and",
+      "ĠRob ot",
+      "f c",
+      "M ike",
+      "Ġpl asma",
+      "Ġsw ap",
+      "Ġath lete",
+      "ĠR ams",
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+      "Ġinfect ions",
+      "Ġcor rid",
+      "Ġv ib",
+      "Ġpat ches",
+      "Ġtradition ally",
+      "Ġrevel ation",
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+      "ĠR aw",
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+      "ĠD at",
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+      "Ġ19 72",
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+      "ĠRe ed",
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+      "Ġf ame",
+      "Ġintrodu cing",
+      "Ġdel ays",
+      "ĠRaid ers",
+      "Ġwh istle",
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+      "ĠRe ally",
+      "Ġder iv",
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+      "ĠCom merce",
+      "Ġa ston",
+      "l anguage",
+      "Not es",
+      "ĠR oth",
+      "ĠF ear",
+      "Ġm ate",
+      "Ġpar ade",
+      "ĠQ B",
+      "Ġman eu",
+      "ĠC incinnati",
+      "m itting",
+      "Ġwa ist",
+      "ĠR ew",
+      "Ġdisc ont",
+      "Ð °",
+      "Ġst aring",
+      "Ġal ias",
+      "Ġsec urities",
+      "Ġtoile t",
+      "ĠJ edi",
+      "Ġun law",
+      "v ised",
+      "//// ////",
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+      "Ġpre st",
+      "ĠComp an",
+      "Ġmem o",
+      "ĠGr ace",
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+      "ĠEl ite",
+      "cent er",
+      "ĠSt ay",
+      "Ġgal axy",
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+      "ĠS ettings",
+      "Ġsubject ed",
+      "ãĤ ¦",
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+      "Ġretail ers",
+      "ĠW ant",
+      "Ġd angers",
+      "A ir",
+      "Ġvolunt ary",
+      "ew ay",
+      "Ġinterpret ed",
+      "ot ine",
+      "Ã §",
+      "Ġp el",
+      "Serv ice",
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+      "Ġthreat en",
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+      "M arch",
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+      "ĠSe ah",
+      "Ġdefin ing",
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+      "ĠH ence",
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+      "ude au",
+      "Ġsubsid ies",
+      "Ġroutine ly",
+      "ĠDev ice",
+      "it ic",
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+      "land er",
+      "Ġ19 40",
+      "Ġassign ment",
+      "ĠB esides",
+      "w ick",
+      "ĠD ust",
+      "us c",
+      "struct ed",
+      "11 1",
+      "de velop",
+      "Ġf ond",
+      "Ġinter section",
+      "Ġdign ity",
+      "Ġcommission er",
+      "With out",
+      "re ach",
+      "Ġcart oon",
+      "Ġsc ales",
+      "ãĥ Ń",
+      "F IG",
+      "Ġsurve ys",
+      "ĠIndones ia",
+      "Ġart work",
+      "Ġun ch",
+      "Ġcy cling",
+      "un ct",
+      "au er",
+      "or ate",
+      "ĠOb viously",
+      "Ġcharacter ized",
+      "fe ld",
+      "Ġaff irm",
+      "Ġinn ings",
+      "Ġ é",
+      "Ġal iens",
+      "Ġcl oth",
+      "et ooth",
+      "ĠC ertain",
+      "Â §",
+      "Ġdig est",
+      "k now",
+      "ĠX L",
+      "Ġpredict ions",
+      "Ġd in",
+      "W AR",
+      "Ġafter math",
+      "Ex ample",
+      "ĠSu ccess",
+      "ĠTh r",
+      "IG N",
+      "Ġmin er",
+      "B us",
+      "Ġcl arity",
+      "heim er",
+      "ĠO UT",
+      "ĠS end",
+      "ĠCirc le",
+      "ĠD iet",
+      "Ġpron ounced",
+      "Ġcreat ors",
+      "Ġearthqu ake",
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+      "ge ons",
+      "Ġo d",
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+      "or p",
+      "U lt",
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+      "Ġre ception",
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+      "Y S",
+      "ĠV ir",
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+      "ĠCo in",
+      "Ġout fit",
+      "ĠW ait",
+      "1 19",
+      "Ġdel ivers",
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+      "ĠE sc",
+      "ĠM ath",
+      "per m",
+      "ĠU l",
+      "Ġgl im",
+      "Ġfac ial",
+      "Ġgreen house",
+      "Ġto kens",
+      "/ -",
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+      "ĠON E",
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+      "Ġa ug",
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+      "Ġn est",
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+      "s um",
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+      "rib ly",
+      "Ġautom ated",
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+      "ĠS QL",
+      "ĠG arc",
+      "Ġw itch",
+      "cl ient",
+      "ier ra",
+      "am bers",
+      "Ġrec ount",
+      "f ar",
+      "V ery",
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+      "Ġappreci ated",
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+      "Ġd oses",
+      "oca ust",
+      "Ġcost ly",
+      "Ġg rams",
+      "ĠSh i",
+      "Ġwrest ling",
+      "Ġ19 71",
+      "Ġtro phy",
+      "Ġn erve",
+      "ĠK az",
+      "ĠExper ience",
+      "Ġpled ged",
+      "Ġplay back",
+      "Ġcreat ivity",
+      "by e",
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+      "Ġhold ers",
+      "ĠCo ach",
+      "ĠPh D",
+      "Ġtransf ers",
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+      "ĠH indu",
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+      "P O",
+      "Ġappeal ing",
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+      "ĠCh icken",
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+      "ĠReturn s",
+      "Ġ[ [",
+      "R OR",
+      "E A",
+      "Ġphotograp her",
+      "ĠR ider",
+      "ipp ers",
+      "Ġsl ice",
+      "Ġe rect",
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+      "Ch ild",
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+      "ĠM aking",
+      "Ġannoun cing",
+      "Ġb od",
+      "Ġmet er",
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+      "ĠR ogue",
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+      "Ġtun ed",
+      "ĠGriff in",
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+      "ss on",
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+      "ĠIs is",
+      "ĠDis play",
+      "Ġcred ibility",
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+      "Ġhead line",
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+      "Ġres igned",
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+      "Ġw ished",
+      "ĠMar co",
+      "udd en",
+      "Ġsp here",
+      "ĠB ishop",
+      "Ġincorpor ated",
+      "ĠPl ant",
+      "11 4",
+      "Ġh ated",
+      "p ic",
+      "Ġdon ate",
+      "Ġl ined",
+      "Ġbe ans",
+      "Ġsteal ing",
+      "Ġcost ume",
+      "Ġsher iff",
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+      "Ġint act",
+      "Ġadapt ed",
+      "Ġtrave lling",
+      "b art",
+      "Ġnice ly",
+      "Ġdri ed",
+      "Ġsc al",
+      "os ity",
+      "NOT E",
+      "ĠB h",
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+      "ĠI gn",
+      "Ġint imate",
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+      "Ġopt imal",
+      "D eb",
+      "ĠGener ation",
+      "Ġ] ,",
+      "ich i",
+      "ĠW ii",
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+      "Ġinterrupt ed",
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+      "Ġtw isted",
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+      "ĠK remlin",
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+      "he res",
+      "ph an",
+      "ĠN ode",
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+      "ĠOr c",
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+      "C ent",
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+      "Ġrun time",
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+      "Ġp iano",
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+      "Ġback lash",
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+      "Ġnetwork ing",
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+      "ĠExpl orer",
+      "Ġlect ure",
+      "Ġupload ed",
+      "ĠMe at",
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+      "ri ans",
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+      "T itle",
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+      "omet own",
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+      "augh s",
+      "or ie",
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+      "D L",
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+      "Ġthr one",
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+      "Ġval ley",
+      "Ġround ed",
+      "ĠK end",
+      "al ion",
+      "p ers",
+      "Ġtour ism",
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+      "v l",
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+      "Ġand roid",
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+      "f ram",
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+      "aw k",
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+      "Ġpl un",
+      "id y",
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+      "Ġdys function",
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+      "Ġrecon c",
+      "Ġnom inated",
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+      "d raw",
+      "achel or",
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+      "Ġshall ow",
+      "Ġh ast",
+      "ĠB MW",
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+      "Ġth igh",
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+      "Ġcool er",
+      "ĠH ours",
+      "ĠG U",
+      "ĠOrig in",
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+      "L im",
+      "Ġche ek",
+      "Ġj ealous",
+      "- '",
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+      "Ġdis abilities",
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+      "Ġfor fe",
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+      "Ġcontem pl",
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+      "ph ies",
+      "iov ascular",
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+      "Ġdat as",
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+      "ĠNig eria",
+      "F ox",
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+      "Ġaggreg ate",
+      "Ġdisplay ing",
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+      "ĠâĶ Ĥ",
+      "Ġpick up",
+      "n els",
+      "Ġ ....",
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+      "ĠF en",
+      ") ?",
+      "Ġphenomen a",
+      "Ġcompan ions",
+      "ĠW rite",
+      "Ġsp ill",
+      "Ġbr idges",
+      "ĠUp dated",
+      "ĠF o",
+      "Ġinsect s",
+      "ASH INGTON",
+      "Ġsc are",
+      "il tr",
+      "ĠZh ang",
+      "Ġsever ity",
+      "Ġind ul",
+      "14 9",
+      "ĠCo ffee",
+      "Ġnorm s",
+      "Ġp ulse",
+      "ĠF T",
+      "Ġhorr ific",
+      "ĠDest roy",
+      "ĠJ SON",
+      "Ġo live",
+      "Ġdiscuss es",
+      "R est",
+      "E lect",
+      "ĠW inn",
+      "ĠSurv iv",
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+      "S ure",
+      "op ed",
+      "Ġro oted",
+      "ĠS ke",
+      "ĠBron ze",
+      "Ġl ol",
+      "Def ault",
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+      "red ited",
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+      "dri ve",
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+      "ĠEd die",
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+      "et ric",
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+      "Ġso ap",
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+      "Ġr ipped",
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+      "G T",
+      "Ġflaw ed",
+      "ph abet",
+      "Ġf og",
+      "do ors",
+      "Ġim aging",
+      "Ġdig its",
+      "ĠHung ary",
+      "Ġar rog",
+      "Ġteach ings",
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+      "ĠB anks",
+      "à ¸",
+      "p ound",
+      "ĠC urt",
+      ".\" )",
+      ". /",
+      "Ġex emption",
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+      "ĠM ull",
+      "Ġimpro ves",
+      "ĠG amer",
+      "d imensional",
+      "I con",
+      "ĠMarg aret",
+      "St atus",
+      "d ates",
+      "Ġint ends",
+      "Ġdep ict",
+      "Ġpark ed",
+      "J oe",
+      "ĠMar ines",
+      "chn ology",
+      "! ).",
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+      "R ay",
+      "Ġapart ments",
+      "he ster",
+      "Ġrein force",
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+      "occ up",
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+      "e pt",
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+      "Ġcal cium",
+      "Ġcompet ent",
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+      "ĠS Y",
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+      "ĠR ug",
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+      "ĠP ill",
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+      "Ġz oom",
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+      "pr im",
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+      "cell ence",
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+      "id ian",
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+      "Ġass ure",
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+      "Ġtri v",
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+      "ĠS aw",
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+      "Ġpositive ly",
+      "Ġin clusive",
+      "Ġmem br",
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+      "old er",
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+      "ĠNob el",
+      "ĠGl en",
+      "Ġreferen ced",
+      "Ġintrodu ces",
+      "se in",
+      "Ġcho pped",
+      "gl ass",
+      "ĠW rest",
+      "Ġneutral ity",
+      "Ġâ Ļ",
+      "Ġinvestig ator",
+      "Ġshel ves",
+      "Ġun constitutional",
+      "Ġreprodu ction",
+      "Ġmer chant",
+      "m ia",
+      "Ġmet rics",
+      "Ġexplos ives",
+      "ĠSon ia",
+      "Ġbod ily",
+      "Ġthick ness",
+      "Ġpredomin antly",
+      "ĠAb ility",
+      "Ġmon itored",
+      "IC H",
+      "Ġ] .",
+      "ĠMart inez",
+      "Ġvis ibility",
+      "Ġqu eries",
+      "Ġgen ocide",
+      "ĠWar fare",
+      "Qu ery",
+      "Ġstud ios",
+      "Ġemb ry",
+      "Ġcorrid or",
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+      "com plete",
+      "ĠM H",
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+      "ING S",
+      "Ġimpact ed",
+      "Ġdis astrous",
+      "ĠY un",
+      "ĠCl aire",
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+      "y t",
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+      "Ġindirect ly",
+      "w ik",
+      "Ġd od",
+      "ĠCar r",
+      "Ġam p",
+      "Ġprohib it",
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+      "ĠR d",
+      "ij i",
+      "Ġeduc ate",
+      "c orn",
+      "i ott",
+      "ĠBeaut y",
+      "Ġdetect ive",
+      "ĠCon n",
+      "s ince",
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+      "Ġbl ades",
+      "Ġlaw ful",
+      "fun c",
+      "ĠBeh ind",
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+      "Ġ( *",
+      "Ġt ennis",
+      "Ġoff spring",
+      "Ġj ets",
+      "Ġstruct ured",
+      "Ġafore mentioned",
+      "N ov",
+      "Ġsc aling",
+      "f ill",
+      "Ġst ew",
+      "Ġcur b",
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+      "S F",
+      "ob ic",
+      "é ŃĶ",
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+      "Ġgen etically",
+      "ope z",
+      "13 6",
+      "Ġu mb",
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+      "Ġcoh ort",
+      "Ġmerch andise",
+      "Ġimp osing",
+      "ĠLegisl ature",
+      "ĠArch ive",
+      "iv ia",
+      "ĠN aval",
+      "Ġoff ences",
+      "Ġmir acle",
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+      "K it",
+      "ĠB in",
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+      "ĠC ities",
+      "Ġrig id",
+      "ĠRE AD",
+      "ĠNob le",
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+      "o iler",
+      "ĠBudd hist",
+      "d id",
+      "Ġsurvey ed",
+      "Ġdown ward",
+      "Ġprint s",
+      "ĠMot ion",
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+      "ĠS ans",
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+      "Ġcolon ies",
+      "ĠDan ish",
+      "un it",
+      "Ġsp oil",
+      "Ġadvis ory",
+      "ber ries",
+      "Pl an",
+      "Ġspecific ation",
+      "op hers",
+      "ĠRes ource",
+      "Ġsh irts",
+      "prising ly",
+      "commun ications",
+      "Ġtriv ial",
+      "Ġmention ing",
+      "ise xual",
+      "Ġsupp lements",
+      "Ġsuper vision",
+      "B P",
+      "v or",
+      "Ġw it",
+      "Ġco oldown",
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+      "ĠReview s",
+      "ĠS ri",
+      "ĠM int",
+      "ĠSug ar",
+      "Ġafter ward",
+      "ĠPri est",
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+      "og ene",
+      "ĠT aking",
+      "Ġstretch ing",
+      "Ġinflamm ation",
+      "ĠTe hran",
+      "Ġl ining",
+      "Ġfree zing",
+      "ĠEnt ity",
+      "Ġins piring",
+      "spe cial",
+      "pr ice",
+      "Ġsu e",
+      "ĠP orter",
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+      "ET A",
+      "ĠD erek",
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+      "u o",
+      "ym ph",
+      "Ġex terior",
+      "ih il",
+      "ĠAsh ley",
+      "in ator",
+      "Ġnut rients",
+      "ĠTh rones",
+      "Ġfin ances",
+      "ĠIn spect",
+      "Ġspe cially",
+      "ĠRequ ired",
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+      "Ġex cerpt",
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+      "IN S",
+      "ĠG ri",
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+      "You ng",
+      "Ġv om",
+      "is le",
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+      "ĠBudd h",
+      "Ġnot ebook",
+      "Ġd urable",
+      "/ ?",
+      "ĠG ad",
+      "ĠP upp",
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+      "p ark",
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+      "Ġelev ator",
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+      "ĠR ole",
+      "un n",
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+      "ĠSc an",
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+      "14 6",
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+      "Ġre ps",
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+      "Ġsw orn",
+      "c am",
+      "Ġshut tle",
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+      "ĠB P",
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+      "Ġv ivid",
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+      "Ġenc oding",
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+      "ĠRec overy",
+      "i ya",
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+      "ĠB iden",
+      "Ġbud gets",
+      "ĠTex ans",
+      "f its",
+      "Ġhon ored",
+      "Ġp ython",
+      "T D",
+      "## #",
+      "cl one",
+      "Ġbl ink",
+      "ĠL iquid",
+      "Ġunemploy ed",
+      "Ġcl ashes",
+      "ĠCoun sel",
+      "Ġdirect ing",
+      "Ġpun ct",
+      "ĠFal cons",
+      "Ġsh ark",
+      "ĠDam ascus",
+      "Ġje ans",
+      "Ġemb ark",
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+      "2 80",
+      "ĠE z",
+      "ĠAny thing",
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+      "ĠCreat or",
+      "ĠU m",
+      "Ġsubur bs",
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+      "ĠW end",
+      "Ġm int",
+      "ĠX X",
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+      "Ġdemonstr ating",
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+      "Ġcondition ing",
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+      "ĠHar bor",
+      "Ġst akes",
+      "Ġ2 60",
+      "Ġun equ",
+      "ĠFl oyd",
+      "Ġd amp",
+      "Ġappar atus",
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+      "at able",
+      "ĠAh med",
+      "Ġsl am",
+      "N ovember",
+      "Ġpers ist",
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+      "Ġsh red",
+      "Ġph ases",
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+      "Ġkey word",
+      "yr us",
+      "Ġy arn",
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+      "mid t",
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+      "ĠK avanaugh",
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+      "ĠN om",
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+      "ĠH yp",
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+      "Z E",
+      "Ġsc ent",
+      "Ġbe ard",
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+      "H y",
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+      "Ġpo em",
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+      "20 5",
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+      "ĠD ial",
+      "Ġcooper ate",
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+      "Ġgreet ed",
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+      "Ġj azz",
+      "Ġinto x",
+      "ĠWalk ing",
+      "Ġsuper visor",
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+      "Ġhighlight ing",
+      "ĠSum mary",
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+      "Ġir ony",
+      "r itional",
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+      "P ict",
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+      "Ġun m",
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+      "ĠInvest igation",
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+      "Ġreg ain",
+      "re x",
+      "Ġweek ends",
+      "Ġstab bed",
+      "bor o",
+      "Ġexplo ited",
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+      "ĠTe levision",
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+      "ĠRem ote",
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+      "ĠDream s",
+      "Ġpl ots",
+      "ĠRun ner",
+      "Ġhur ting",
+      "Ġacad emy",
+      "ĠMont gomery",
+      "n m",
+      "ĠL anc",
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+      "2 10",
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+      "ĠSe oul",
+      "ĠRes ident",
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+      "Ġdisappear ance",
+      "ĠV ince",
+      "g rown",
+      "Ġgrab s",
+      "r il",
+      "ĠInf inite",
+      "ĠTw enty",
+      "Ġpedest rian",
+      "Ġjer sey",
+      "ĠF ur",
+      "ĠInf inity",
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+      "Ġment or",
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+      "iff e",
+      "Ġantib iotics",
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+      "ĠIntrodu ction",
+      "J un",
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+      "och ond",
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+      "icult y",
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+      "Ġl y",
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+      "Ġinter course",
+      "ĠNew castle",
+      "ĠH og",
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+      "17 7",
+      "Ġterrit orial",
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+      "20 3",
+      "Fil ter",
+      "ĠMun ich",
+      "Ġcommand ed",
+      "ĠW and",
+      "Ġpit ches",
+      "ĠCro at",
+      "Ġrat ios",
+      "ĠM its",
+      "Ġaccum ulated",
+      "ĠSpecific ally",
+      "Ġgentle man",
+      "acer b",
+      "Ġp enn",
+      "Ġa ka",
+      "ĠF uk",
+      "Ġinterven e",
+      "ĠRef uge",
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+      "Ġsuccess ion",
+      "oh an",
+      "d oes",
+      "L ord",
+      "Ġsepar at",
+      "Ġcorrespond ence",
+      "Ġsh iny",
+      "P rior",
+      "Ġs ulf",
+      "Ġmiser able",
+      "Ġded ication",
+      "( ).",
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+      "ĠC ult",
+      "ĠX ia",
+      "Ġje opard",
+      "ĠO re",
+      "Ab ility",
+      "Ġle ar",
+      "Ġamb itions",
+      "ĠB MI",
+      "ĠArab s",
+      "Ġ19 42",
+      "Ġpres ervation",
+      "ific ate",
+      "Ġash amed",
+      "l oss",
+      "ĠRest aur",
+      "Ġrese mble",
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+      "ĠK N",
+      "ĠCl an",
+      "fl oat",
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+      "IT T",
+      "Ġharm ony",
+      "arr ison",
+      "ĠWe instein",
+      "w ere",
+      "Ġpoison ing",
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+      "ĠWord Press",
+      "m ajor",
+      "ĠVal ve",
+      "F an",
+      "ĠTh row",
+      "ĠRom ans",
+      "ĠDep ression",
+      "ad os",
+      "Ġtort ured",
+      "Ġbal ancing",
+      "bott om",
+      "Ġacqu iring",
+      "ĠMon te",
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+      "Ġa ura",
+      "Ġ# #",
+      "ĠStand ing",
+      "ĠAtl as",
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+      "bl ade",
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+      "ĠR abb",
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+      "t ip",
+      "ĠNe igh",
+      "ster dam",
+      "ĠAll ow",
+      "ĠHe aling",
+      "ĠR hod",
+      "n um",
+      "Ġcaffe ine",
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+      "Ġbo o",
+      "Ġapp les",
+      "30 5",
+      "Ġwel coming",
+      "Ġappl aud",
+      "Ġa usterity",
+      "Â ±",
+      "ĠRe ality",
+      "ef e",
+      "å ®",
+      "Ġsu cks",
+      "Ġtab s",
+      "ĠPay Pal",
+      "Ġback pack",
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+      "abul ary",
+      "ĠSc out",
+      "ir teen",
+      "Ġch in",
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+      "Ġnegative ly",
+      "Ġaccess ing",
+      "ĠE arn",
+      "Ġambul ance",
+      "Ġhead phones",
+      "Ġ20 5",
+      "ĠRef resh",
+      "p resident",
+      "ĠKit chen",
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+      "00 5",
+      "om ical",
+      "Ġborrow ed",
+      "ĠN em",
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+      "Ġst all",
+      "rim ination",
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+      "it ime",
+      "ĠSim mons",
+      "ener gy",
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+      "y y",
+      "qual ified",
+      "Ġrall ies",
+      "ĠSt uart",
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+      "Ġgang s",
+      "r ag",
+      "Ġv ault",
+      "lu x",
+      "ĠCom par",
+      "Ġdesign ation",
+      "20 9",
+      "ĠJ os",
+      "d ollar",
+      "z ero",
+      "Ġwell s",
+      "30 3",
+      "Ġconstitu ents",
+      "Ġhe ck",
+      "Ġc ows",
+      "Ġcommand ers",
+      "Ġdifferent ial",
+      "ĠC atherine",
+      "29 9",
+      "Ġval ve",
+      "Ġbr ace",
+      "Ġperspect ives",
+      "c ert",
+      "f act",
+      "icular ly",
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+      "pl anes",
+      "Ġint ric",
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+      "ret ch",
+      "ĠL opez",
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+      "de ath",
+      "ĠA part",
+      "ĠCh ang",
+      "Ġrelie ved",
+      "rop he",
+      "Ġair ports",
+      "Ġfre ak",
+      "ut il",
+      "M ill",
+      "ĠCh in",
+      "ĠOw en",
+      "m ale",
+      "ĠBro ken",
+      "ĠWind s",
+      "ro b",
+      "r ising",
+      "Ġfire fighters",
+      "Ġauthor itarian",
+      "Ġ14 8",
+      "Bit coin",
+      "ex ternal",
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+      "iche ver",
+      "or ian",
+      "Ġun b",
+      "Ġpo ke",
+      "ĠZ ot",
+      "M id",
+      "ĠPop ular",
+      "Ġco vert",
+      "Ġcont ributes",
+      "Ġ6 50",
+      "Ġcont ention",
+      "G ate",
+      "Ġcons oles",
+      "Ġchrom os",
+      "ĠI X",
+      "Ġvis ually",
+      "ĠE isen",
+      "Ġjewel ry",
+      "Ġdeleg ation",
+      "Ġacceler ate",
+      "ĠR iley",
+      "Ġsl ope",
+      "Ġind oor",
+      "it ially",
+      "Ġhuge ly",
+      "Ġtun nels",
+      "Ġfin ed",
+      "Ġdirect ive",
+      "Ġfore head",
+      "ustom ed",
+      "Ġsk ate",
+      "Mus ic",
+      "g as",
+      "Ġrecogn izing",
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+      "Ġover weight",
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+      "Ù Ĭ",
+      "Ġsound ing",
+      "Ġlock ing",
+      "ĠR EM",
+      "St ore",
+      "Ġexc av",
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+      "ĠL ights",
+      "Ġel bow",
+      "ĠSupp ly",
+      "w ic",
+      "Ġhands ome",
+      "19 94",
+      "C oll",
+      "Ġadequ ately",
+      "ĠAssoci ate",
+      "Ġstri ps",
+      "Ġcrack down",
+      "Ġmar vel",
+      "ĠK un",
+      "Ġpass ages",
+      "@@ @@",
+      "ĠT all",
+      "Ġthought ful",
+      "names e",
+      "Ġprost itution",
+      "bus iness",
+      "Ġball istic",
+      "person al",
+      "c ig",
+      "iz ational",
+      "R ound",
+      "ĠÂłĠÂł ĠÂłĠÂł",
+      "ĠCole man",
+      "Ġadm itting",
+      "ĠPl ug",
+      "Ġbit coins",
+      "ĠSu z",
+      "Ġfair ness",
+      "Ġsupp lier",
+      "Ġcatast rophic",
+      "ĠHel en",
+      "o qu",
+      "M arc",
+      "ĠArt icles",
+      "g ie",
+      "Ġend angered",
+      "Ġdest iny",
+      "ĠVol t",
+      "ol ia",
+      "ax is",
+      "Ġche at",
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+      "IC O",
+      "qu ote",
+      "30 2",
+      "ĠS ed",
+      "Ġsupp ression",
+      "Ġanaly zing",
+      "Ġsqu at",
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+      "Ġcoordin ates",
+      "Ġch unks",
+      "Ġ19 46",
+      "Ġsub p",
+      "Ġw iki",
+      "ĠFor bes",
+      "ĠJ upiter",
+      "ĠE rik",
+      "im er",
+      "ĠCom mercial",
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+      "Ġlegitim acy",
+      "Ġd ental",
+      "ĠMe an",
+      "Ġdefic its",
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+      "ĠHor ror",
+      "Ġcontam ination",
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+      "Ġconf isc",
+      "ĠCl are",
+      "T B",
+      "ĠF ailed",
+      "an ed",
+      "Ġrul er",
+      "ĠCont roller",
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+      "F ix",
+      "g ay",
+      "20 7",
+      "Ġr abbit",
+      "Th ird",
+      "ownt own",
+      "Ġgl ue",
+      "Ġvol atile",
+      "Ġsh ining",
+      "Ġf oll",
+      "Ġimp aired",
+      "Ġsup ers",
+      "æ Ī",
+      "Ġcl utch",
+      "ļé ĨĴ",
+      "Ġpro let",
+      "Ġ( !",
+      "Ġy elled",
+      "ĠK iev",
+      "ĠEr n",
+      "ĠSh ock",
+      "K B",
+      "Ġsit uated",
+      "qu ery",
+      "ĠN as",
+      "Ġan nex",
+      "char acter",
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+      "Ġautom ation",
+      "ĠJ ill",
+      "ĠRem astered",
+      "Ġl inem",
+      "Ġwild erness",
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+      "ĠGu inea",
+      "A Z",
+      "Ġmain land",
+      "Ġsec recy",
+      "LE ASE",
+      "Ġp unk",
+      "ĠProv ince",
+      "( ),",
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+      "Ġhand ing",
+      "ĠSeb ast",
+      "S ir",
+      "r ase",
+      "Ġj ournals",
+      "Ġcon gest",
+      "ĠT ut",
+      "ir rel",
+      "Ġschizophren ia",
+      "Ġmis ogyn",
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+      "I ron",
+      "Ġreact ed",
+      "- $",
+      "25 2",
+      "Ġpl ural",
+      "Ġpl um",
+      "Ġbarg ain",
+      "Ġground ed",
+      "f inder",
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+      "ĠL az",
+      "O OD",
+      "Ġat roc",
+      "F actory",
+      "Ġmin ions",
+      "Ġo ri",
+      "ĠB rave",
+      "ĠP RE",
+      "ĠMy anmar",
+      "ĠH od",
+      "Ġexped ition",
+      "Ġexpl ode",
+      "ĠCo ord",
+      "Ġext r",
+      "ĠB rief",
+      "ĠAD HD",
+      "Ġhard core",
+      "feed ing",
+      "Ġd ile",
+      "ĠF ruit",
+      "Ġvacc ination",
+      "ĠM ao",
+      "osp here",
+      "Ġcont ests",
+      "- |",
+      "Ġf ren",
+      "isp here",
+      "R om",
+      "ĠSh arp",
+      "ĠTre nd",
+      "Ġdis connect",
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+      "Ear th",
+      "Ġhealth ier",
+      "38 4",
+      "Ġc ob",
+      "ĠTr inity",
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+      "AN N",
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+      "ens or",
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+      "Ad v",
+      "! ?",
+      "ĠRe vel",
+      "em ia",
+      "ĠH ulk",
+      "Ġcelebr ations",
+      "ĠS ou",
+      "ra ud",
+      "ĠKle in",
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+      "con text",
+      "Ġpartners hips",
+      "Ġadop ting",
+      "t ical",
+      "Ġspl ash",
+      "ĠHe zbollah",
+      "c ategory",
+      "cycl op",
+      "xt on",
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+      "urd y",
+      "t z",
+      "Ġenvelop e",
+      "ĠN L",
+      "â ķ",
+      "Ġwhere in",
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+      "18 4",
+      "Ġte lev",
+      "al iation",
+      "Ġmyth s",
+      "å °",
+      "Ġrig orous",
+      "Ġcommun icating",
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+      "Ġre he",
+      "ĠW ash",
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+      "work ers",
+      "d ocument",
+      "Ġhes itate",
+      "ĠLen in",
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+      "Ġrenew al",
+      "cl er",
+      "ok ia",
+      "ĠCON T",
+      "Ġpost season",
+      "Tok ens",
+      "Ġex acerb",
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+      "Ġ14 7",
+      "Ġelev ation",
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+      "ĠSol omon",
+      "19 4",
+      "00 4",
+      "out put",
+      "Ġredu nd",
+      "ĠM umbai",
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+      "Ġreprodu ce",
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+      "Ġb og",
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+      "g uy",
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+      "Ã ¢",
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+      "ĠGN U",
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+      "Ġcollect or",
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+      "Ġd ots",
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+      "Ġ14 6",
+      "Ġge ographic",
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+      "Ġjud ging",
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+      "ĠSt ick",
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+      "30 7",
+      "ãĤ´ ãĥ³",
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+      "Ġwithd rawn",
+      "ĠV oy",
+      "ph ony",
+      "It ems",
+      "ĠP ierce",
+      "b ard",
+      "Ġann otation",
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+      "Im pro",
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+      "Ġhapp ier",
+      "---- --",
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+      "Ġactiv ism",
+      "Ġper f",
+      "Ġal right",
+      "N eed",
+      "Ġcomm ence",
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+      "ĠK aw",
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+      "ĠM oto",
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+      "ĠN R",
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+      "k u",
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+      "ĠR an",
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+      "Ġoutrage ous",
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+      "lu ence",
+      "ĠEvery body",
+      "Al tern",
+      "Ġrele vance",
+      "Ġtermin ated",
+      "Ġd essert",
+      "Ġfulf illed",
+      "Ġprosecut ed",
+      "ĠW ords",
+      "Ġm igrant",
+      "Ġcultiv ation",
+      "ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ",
+      "idel ity",
+      "ĠV ern",
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+      "Ġh i",
+      "He ight",
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+      "Ġloud ly",
+      "ĠAP Is",
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+      "ĠL ac",
+      "ĠUS S",
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+      "ver ages",
+      "J ew",
+      "Ġ17 2",
+      "ĠHist orical",
+      "at oon",
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+      "in tern",
+      "Ġwarm th",
+      "Ġto pp",
+      "D M",
+      "Ġgun man",
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+      "od i",
+      "ãĥ £",
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+      "ĠR ib",
+      "Ġ13 1",
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+      "ĠSh ining",
+      "Ġw aking",
+      "Qu otes",
+      "Ġcomed ian",
+      "en berg",
+      "Â ½",
+      "Ġbelie vers",
+      "Ġpaper work",
+      "c ustom",
+      "Ġle v",
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+      "Ġpour ing",
+      "22 2",
+      "p olitical",
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+      "m aid",
+      "Ġcruel ty",
+      "Ġt read",
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+      "Ġcl usters",
+      "ĠEngine er",
+      "ĠC herry",
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+      "ĠS au",
+      "Ġembod iment",
+      "ĠUn cle",
+      "Ġover r",
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+      "ĠPrinc eton",
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+      "ters on",
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+      "Ġneg lected",
+      "Ġlaun cher",
+      "Ġannounce ments",
+      "OU LD",
+      "com b",
+      "Ġrot ating",
+      "Ġrest s",
+      "ĠT icket",
+      "ched el",
+      "L ou",
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+      "Ġtem plates",
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+      "Ar c",
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+      "Ġsched ules",
+      "Ġheter osexual",
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+      "Ġhere in",
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+      "Ġdecre asing",
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+      "Ġweigh s",
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+      "ĠBeng als",
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+      "na ire",
+      "Ġsimpl est",
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+      "f iction",
+      "ĠDat abase",
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+      "Ġend uring",
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+      "Ġsidew alk",
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+      "Ġcomp ute",
+      "ĠS ect",
+      "Ġ15 8",
+      "B attle",
+      "Ġbom ber",
+      "Ġdist raction",
+      "Ġend ured",
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+      "Ġdistur bed",
+      "Ġdr ank",
+      "ord ered",
+      "Ġsurpr ises",
+      "se at",
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+      "ĠW isdom",
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+      "Ġsub paragraph",
+      "ĠPen insula",
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+      "ire n",
+      "ĠP av",
+      "igg le",
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+      "g em",
+      "Ġsk ies",
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+      "D iv",
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+      "Ġmess y",
+      "um ption",
+      "F ederal",
+      "ern o",
+      "ĠCh at",
+      "Bey ond",
+      "Ġdev ote",
+      "ĠW alsh",
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+      "Ġsm okers",
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+      "F rench",
+      "iss an",
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+      "R AM",
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+      "Ġcl oak",
+      "ĠTer ra",
+      "M ary",
+      "so ld",
+      "ĠD OM",
+      "mod s",
+      "Int el",
+      "Ġmult itude",
+      "ĠImpro ved",
+      "Ġrel iance",
+      "Ġartif act",
+      "Ġalarm ing",
+      "P rom",
+      "h on",
+      "T ION",
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+      "Ġref lex",
+      "ĠEx cel",
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+      "2 24",
+      "Ġcost umes",
+      "Ġunique ly",
+      "Ġs orrow",
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+      "w p",
+      "Ġsal v",
+      "ĠGro ve",
+      "bs p",
+      "ĠSn iper",
+      "ĠSh ipping",
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+      "Ġund is",
+      "Ġbrand ing",
+      "G irl",
+      "ĠAh mad",
+      "ĠL akes",
+      "ĠCore y",
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+      "ĠP rest",
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+      "l ocked",
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+      "Ġcompet itions",
+      "Ġstreng thening",
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+      "stan bul",
+      "Ġb ounty",
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+      "ĠL ands",
+      "Ġdecl ares",
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+      "ĠTem p",
+      "Ġcont ender",
+      "Ġins ign",
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+      "Ġdis asters",
+      "ins pired",
+      "Ġjud gments",
+      "ustain able",
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+      "Ġvar iance",
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+      "ĠR X",
+      "Ġmel ting",
+      "ĠExt ended",
+      "ĠT we",
+      "M ajor",
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+      "ĠHold er",
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+      "ĠM ight",
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+      "Ġf al",
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+      "ĠB S",
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+      "L at",
+      "ĠAb use",
+      "Ġun supported",
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+      "Ġinst itute",
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+      "W estern",
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+      "ĠFr ag",
+      "ĠAr s",
+      "à ¥",
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+      "Ġb ishop",
+      "Ġcross es",
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+      "ĠRay mond",
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+      "Ġtom ato",
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+      "ĠR aspberry",
+      "Ġign ores",
+      "Ġt ant",
+      "Ã ł",
+      "Ġrel ay",
+      "Ġb isexual",
+      "Ġconf ession",
+      "Ġd ement",
+      "in as",
+      "ĠHe ather",
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+      "dri ving",
+      "bour g",
+      "ĠM ush",
+      "Ġhy ster",
+      "Det ails",
+      "Ġdr ift",
+      "ĠW ald",
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+      "Ġexp ire",
+      "ĠP unch",
+      "zy me",
+      "g old",
+      "Ġunp aid",
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+      "Ġun armed",
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+      "Ġst ing",
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+      "Ġtruth s",
+      "b irth",
+      "Ġso ber",
+      "ĠN it",
+      "Ġ ib",
+      "Ġus able",
+      "Ġst acks",
+      "ĠSy lv",
+      "Ġnort heast",
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+      "ĠMe asure",
+      "Ġprogram mer",
+      "Ġ< -",
+      "18 2",
+      "ĠCond ition",
+      "Ġback yard",
+      "ir ling",
+      "ĠJ eb",
+      "ĠCre ed",
+      "ĠH ang",
+      "ĠCOM P",
+      "F ER",
+      "ĠIs h",
+      "Ġdetect ives",
+      "------------ ---",
+      "ĠMess enger",
+      "Ġlo oph",
+      "Ġgate way",
+      "15 1",
+      "ĠMaterial s",
+      "ĠD T",
+      "Ġdo omed",
+      "od o",
+      "Ġslic es",
+      "Ġemail ed",
+      "ĠPer l",
+      "Ġren ov",
+      "UT H",
+      "ody nam",
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+      "ul ators",
+      "prot ected",
+      "y les",
+      "Â «",
+      "Ġex ile",
+      "en v",
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+      "Ù İ",
+      "C a",
+      "om aly",
+      "ãĥ Ĩ",
+      "Ġrail road",
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+      "act ly",
+      "Ġr av",
+      "Ġtelesc ope",
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+      "ĠBr ing",
+      "Ġric hest",
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+      "Ġ14 3",
+      "Ġpo ised",
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+      "ĠWire less",
+      "ĠRe venge",
+      "Ġpuzz les",
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+      "ĠCon sole",
+      "Ġbo iling",
+      "Ġdisc rep",
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+      "ĠAm sterdam",
+      "rox imately",
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+      "ĠH ank",
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+      "ĠAv oid",
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+      "ĠJ ab",
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+      "b ay",
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+      "M arg",
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+      "Ġt apping",
+      "Ġnational ism",
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+      "Ġsqu ares",
+      "ĠAct ions",
+      "ãĥ ¥",
+      "In side",
+      "deb ug",
+      "Ġapp end",
+      "Ġstub born",
+      "ĠC ind",
+      "T ell",
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+      "ĠRe y",
+      "or c",
+      "ĠDay ton",
+      "ĠN H",
+      "ĠMad ness",
+      "Ch arl",
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+      "ĠNo vel",
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+      "Ġunbeliev able",
+      "Ġn ause",
+      "Ġent r",
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+      "Ġsc out",
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+      "viol ent",
+      "ĠCraw ford",
+      "udd le",
+      "ĠLet ters",
+      "Gu ard",
+      "mor ph",
+      "Ġwand ering",
+      "Ġsoph omore",
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+      "D om",
+      "Ġpadd ing",
+      "Ġfold ers",
+      "Ġmeaning less",
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+      "af ort",
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+      "ĠAT K",
+      "ĠStar bucks",
+      "ĠR iot",
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+      "e ffic",
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+      "ĠRock y",
+      "Ġsal mon",
+      "Ġmet ro",
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+      "B at",
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+      "D T",
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+      "ĠRe bel",
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+      "F und",
+      "Ġcock tail",
+      "Ġ5 01",
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+      "ĠHigh lander",
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+      "Ġdistribut ions",
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+      "ĠE instein",
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+      "Ġhe ap",
+      "ĠR anch",
+      "Ġan them",
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+      "ĠAub urn",
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+      "c ounter",
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+      "un ion",
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+      "Ġform idable",
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+      "ĠL I",
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+      "ĠKash mir",
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+      "ĠR ig",
+      "Ġbol ts",
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+      "M ex",
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+      "Ġgen ital",
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+      "Ġc ush",
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+      "ĠSch midt",
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+      "Ġs ixty",
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+      "Ġcon ve",
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+      "Ġqual ifications",
+      "Ġvers es",
+      "Ġnarc iss",
+      "ĠK oh",
+      "ĠW ow",
+      "ĠCharl ottesville",
+      "ed o",
+      "Ġinterrog ation",
+      "ĠW ool",
+      "36 5",
+      "B rian",
+      "Ġâľ ĵ",
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+      "id ation",
+      "ĠJack ie",
+      "y u",
+      "Ġl akes",
+      "Ġworth while",
+      "Ġcryst als",
+      "ĠJud a",
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+      "ĠO C",
+      "Ġfright ened",
+      "ĠCh ocolate",
+      "Mart in",
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+      "Ġapp ell",
+      "ĠChampions hips",
+      "Ġlist ener",
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+      "Ġc z",
+      "ud s",
+      "ĠM ate",
+      "Ġre play",
+      "Ġdecor ated",
+      "Ġs unk",
+      "ĠV IP",
+      "ĠAn k",
+      "Ġ19 5",
+      "aa aa",
+      "Nob ody",
+      "ĠMil k",
+      "ĠG ur",
+      "ĠM k",
+      "ĠS ara",
+      "Ġse ating",
+      "ĠW id",
+      "Tr ack",
+      "Ġemploy s",
+      "Ġgig antic",
+      "AP P",
+      "ãĤ §",
+      "in ventory",
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+      "l asting",
+      "ĠT L",
+      "Ġlat ency",
+      "Ġkn e",
+      "B er",
+      "me aning",
+      "Ġup held",
+      "Ġplay ground",
+      "Ġm ant",
+      "S ide",
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+      "Ġnorth west",
+      "Ġexception ally",
+      "Ġr ays",
+      "Ġrec urring",
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+      "ĠSign al",
+      "Ġwr ath",
+      "â ľ",
+      "l ot",
+      "' /",
+      "Ġproject ile",
+      "Ġemploy ing",
+      "ĠInter face",
+      "19 1",
+      "atell ite",
+      "ĠR ath",
+      "pack age",
+      "Ġindic ations",
+      "J ason",
+      "Ġarg s",
+      "ĠG Hz",
+      "Ġt ilt",
+      "n ants",
+      "w on",
+      "ãĤ µ",
+      "red d",
+      "res cent",
+      "ĠCal endar",
+      "Ġmod ular",
+      "Ġassist ing",
+      "Ġred eem",
+      "ĠBe an",
+      "Ġwor sh",
+      "Ġdecentral ized",
+      ") ...",
+      "37 7",
+      "Ġarr ays",
+      "Ġaccomplish ments",
+      "Î ¿",
+      "d ot",
+      "Ġmut ually",
+      "Ġob struct",
+      "Ġmis represent",
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+      "ru ce",
+      "% ;",
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+      "in ently",
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+      "D a",
+      "ĠC ere",
+      "Ġob solete",
+      "ħ ĭ",
+      "g ive",
+      "Ġb ait",
+      "Ġen larg",
+      "Ne ill",
+      "Ġ19 33",
+      "Ġrecons ider",
+      "ĠSerge ant",
+      "ĠDian e",
+      "ĠC ogn",
+      "ĠI con",
+      "P osition",
+      "Ġf ost",
+      "Ġstir ring",
+      "se ven",
+      "ĠSpace X",
+      "ugg ets",
+      "Ġmed d",
+      "G al",
+      "ĠS ister",
+      "B oy",
+      "Ġtrigger ing",
+      "T aking",
+      "Ġscream s",
+      "Ġca usal",
+      "Ġaw aken",
+      "Ar m",
+      "29 7",
+      "Ġdisp atched",
+      "ĠF ALSE",
+      "Ġorgan izational",
+      "ĠT ong",
+      "Ġdile mma",
+      "d emon",
+      "S pl",
+      "Ġhook s",
+      "ud ing",
+      "Ġvalid ate",
+      "Ġpot ion",
+      "Ġcl aw",
+      "Ġburg l",
+      "Ġqu ir",
+      "AC A",
+      "ĠBren nan",
+      "Ġdur ability",
+      "Ġbomb ings",
+      "ĠWind ow",
+      "Ġculp rit",
+      "3 25",
+      "There fore",
+      "umb ered",
+      "per formance",
+      "w arts",
+      "Ġen forcing",
+      "ĠBl ow",
+      "Ġre print",
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+      "al pha",
+      "Ġsin ister",
+      "Ġbur ger",
+      "fight ing",
+      "Sc ore",
+      "ĠSt ones",
+      "i em",
+      "40 5",
+      "che my",
+      "Ġvine gar",
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+      "Ġprev ailing",
+      "ĠLat est",
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+      "ĠWrit er",
+      "Ġ17 7",
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+      "Ġcollect s",
+      "Ġquant itative",
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+      "h aw",
+      "ĠSl ash",
+      "Ġnight club",
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+      "ĠScar let",
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+      "Ġrev ival",
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+      "c z",
+      "Ġp s",
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+      "opp y",
+      "Ġmon keys",
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+      "ĠV C",
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+      "ĠM AY",
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+      "s le",
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+      "Ġfib ers",
+      "p oon",
+      "Ġinstinct s",
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+      "im ates",
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+      "ĠJ S",
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+      "Ġt ally",
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+      "Ġcow ard",
+      "Ġgener als",
+      "Ġhorn s",
+      "Ġcirc ulated",
+      "Ġrob bed",
+      "ĠUn limited",
+      "Ġharass ed",
+      "Ġinhib it",
+      "Ġcomp oser",
+      "ĠSpot ify",
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+      "3 64",
+      "Ġsu icidal",
+      "Ġno ises",
+      "ĠSt ur",
+      "Ġs aga",
+      "ĠK ag",
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+      "M oney",
+      "Ġsimilar ity",
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+      "ing es",
+      "\" -",
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+      "Mod ule",
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+      "f ired",
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+      "Ġdoub ling",
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+      "Ġdoct r",
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+      "R oll",
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+      "ĠB end",
+      "fig ure",
+      "Ġtur key",
+      "Ġsoc ietal",
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+      "Ġcommer cially",
+      "Ġsp icy",
+      "Ġ2 16",
+      "ĠR amp",
+      "Ġsuperior ity",
+      "Ã ¯",
+      "ĠTr acker",
+      "C arl",
+      "ĠC oy",
+      "ĠPatri ot",
+      "Ġconsult ed",
+      "Ġlist ings",
+      "Ġsle w",
+      "reens hot",
+      "ĠG one",
+      "Ġ[ ...]",
+      "30 9",
+      "Ġh ottest",
+      "Ø ±",
+      "Ġrock y",
+      "ĠD iaz",
+      "Ġmass age",
+      "Ġpar aly",
+      "Ġp ony",
+      "A z",
+      "Ġcart ridge",
+      "ĠN Z",
+      "Ġsn ack",
+      "ĠLam ar",
+      "ple ment",
+      "ĠLes lie",
+      "Ġm ater",
+      "Ġsn ipp",
+      "24 6",
+      "Ġjoint ly",
+      "ĠBris bane",
+      "ĠiP od",
+      "Ġpump ing",
+      "Ġgo at",
+      "ĠSh aron",
+      "eal ing",
+      "Ġcor on",
+      "Ġan omal",
+      "rah im",
+      "ĠConnect ion",
+      "Ġsculpt ure",
+      "Ġsched uling",
+      "ĠD addy",
+      "at hing",
+      "Ġeyeb rows",
+      "Ġcur ved",
+      "Ġsent iments",
+      "Ġdraft ing",
+      "D rop",
+      "( [",
+      "Ġnom inal",
+      "ĠLeaders hip",
+      "ĠG row",
+      "Ġ17 6",
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+      "iv ation",
+      "Ġcorrupt ed",
+      "ger ald",
+      "ĠC ros",
+      "ĠChe ster",
+      "ĠL ap",
+      "ãģ ª",
+      "OT H",
+      "D ATA",
+      "Ġal mond",
+      "pro bably",
+      "I mp",
+      "Ġfe ast",
+      "ĠWar craft",
+      "F lor",
+      "Ġcheck point",
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+      "Ġtwe aks",
+      "Ġrel ieve",
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+      "v on",
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+      "Ġag on",
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+      "Ġad ren",
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+      "irc raft",
+      "dig it",
+      "sm art",
+      "ĠD read",
+      "¯¯¯¯¯¯¯¯ ¯¯¯¯¯¯¯¯",
+      "{ {",
+      "ĠRoc hester",
+      "Ġsimpl ified",
+      "Ġinf licted",
+      "Ġtake over",
+      "Ġyour selves",
+      "ad itional",
+      "Ġmus cular",
+      "K S",
+      "Ġing en",
+      "T ax",
+      "ĠFe ature",
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+      "Ġcru c",
+      "Ġcr ate",
+      "Ġun identified",
+      "Ġacclaim ed",
+      "ĠM anga",
+      "ĠFr ances",
+      "ĠNep al",
+      "ĠG erald",
+      "ĠKu wait",
+      "Ġsl ain",
+      "ĠHe b",
+      "ĠG oku",
+      "ãģ® æ",
+      "28 6",
+      "M rs",
+      "ĠC ody",
+      "ĠSan ctuary",
+      "01 6",
+      "Ġdism ant",
+      "Ġdatas et",
+      "ĠH ond",
+      "b uck",
+      "ĠPat terson",
+      "Ġpal ette",
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+      "ic ol",
+      "ĠL odge",
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+      "ak in",
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+      "Ġha iled",
+      "ĠP iece",
+      "S che",
+      "ĠDO J",
+      "Ġen umer",
+      "18 1",
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+      "com merce",
+      "Ġexplo its",
+      "ĠF inding",
+      "UR N",
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+      "ĠW ol",
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+      "Ġp oker",
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+      "Ġcy t",
+      "Ġrib s",
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+      "ĠS ounds",
+      "h air",
+      "ĠSynd rome",
+      "t f",
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+      "u id",
+      "Ġper taining",
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+      "ĠNeg ro",
+      "Ġreiter ated",
+      "ĠTon ight",
+      "oth s",
+      "ĠCorn ell",
+      "Ġo wing",
+      "Ġ20 8",
+      "elf are",
+      "oc ating",
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+      "Sub scribe",
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+      "Ġillust rations",
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+      "Ġx en",
+      "ĠLink edIn",
+      "ĠJ ung",
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+      "Con nor",
+      "29 6",
+      "Ġrevers al",
+      "ĠAd elaide",
+      "ĠL L",
+      "Ġs inking",
+      "Ġg um",
+      "US H",
+      "c apt",
+      "ĠGr imm",
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+      "isp ers",
+      "Ġpro se",
+      "Wed nesday",
+      "ĠM ovies",
+      "ed in",
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+      "Ġcontent ious",
+      "US B",
+      "~~~~~~~~ ~~~~~~~~",
+      "ĠCo pper",
+      "Ġpoint less",
+      "N V",
+      "val ues",
+      "olph in",
+      "d ain",
+      "Ġdepos ited",
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+      "ĠCl a",
+      "ĠGo lem",
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+      "Ġones elf",
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+      "op athy",
+      "bl ank",
+      "Ġ16 9",
+      "17 1",
+      "________________________________ ________________________________",
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+      "En c",
+      "ĠD EC",
+      "Ġwork outs",
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+      "Ġdin osaurs",
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+      "R NA",
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+      "et o",
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+      "h awks",
+      "ĠEVER Y",
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+      "ĠEver ton",
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+      "ĠSer bia",
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+      "m eter",
+      "ĠMic key",
+      "Ġant iqu",
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+      "m ust",
+      "Ġhigh ways",
+      "Ġgl am",
+      "Ġdivid ing",
+      "ĠSquad ron",
+      "ĠMar tha",
+      "Ġbirth s",
+      "C over",
+      "//////// ////////",
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+      "ĠA LS",
+      "ri o",
+      "ĠNon etheless",
+      "ĠL emon",
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+      "ĠE E",
+      "Ġderiv ative",
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+      "v ote",
+      "Ġthere in",
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+      "sy nc",
+      "ĠStre ets",
+      "Ġr att",
+      "Ġmunicip ality",
+      "ĠShort ly",
+      "Ġmon k",
+      ") ,\"",
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+      "Ġoper atives",
+      "Ne ither",
+      "Pl ace",
+      "ĠLim it",
+      "F emale",
+      "ĠAct or",
+      "Char acter",
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+      "35 7",
+      "Ġprotest ed",
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+      "ild a",
+      "ĠTy ph",
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+      "up on",
+      "t ons",
+      "ess ing",
+      "ĠP ocket",
+      "Ġro oft",
+      "ĠC aucas",
+      "Ġant idepress",
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+      "l ime",
+      "Def ense",
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+      "Ġsav age",
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+      "n z",
+      "Ġmet allic",
+      "Ġex pelled",
+      "Ġres idency",
+      "Ġdress es",
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+      "bal anced",
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+      "Ġunle ashed",
+      "ĠWe ber",
+      "Ġadjust able",
+      "Ġcal iber",
+      "Ġmotiv ations",
+      "ĠÃ ł",
+      "m Ah",
+      "ĠL anka",
+      "hand le",
+      "Ġp ent",
+      "ĠR av",
+      "ĠAng ular",
+      "ĠK au",
+      "umb ing",
+      "Ġphil anthrop",
+      "Ġde hyd",
+      "Ġtox icity",
+      "e er",
+      "ĠY ORK",
+      "w itz",
+      "å ¼",
+      "ĠI E",
+      "commun ity",
+      "ĠA H",
+      "Ġret ali",
+      "Ġmass ively",
+      "ĠDani els",
+      "ĠD EL",
+      "Ġcar cin",
+      "Ur l",
+      "Ġrout ing",
+      "ĠNPC s",
+      "ĠR AF",
+      "ry ce",
+      "Ġwa ived",
+      "ĠGu atem",
+      "Every body",
+      "Ġco venant",
+      "Ġ17 3",
+      "Ġrelax ing",
+      "Ġqu art",
+      "al most",
+      "Ġguard ed",
+      "ĠSold iers",
+      "ĠPL AY",
+      "Ġout going",
+      "L AND",
+      "Ġre write",
+      "ĠM OV",
+      "ĠIm per",
+      "ĠS olution",
+      "Ġphenomen al",
+      "Ġl ongevity",
+      "Ġimp at",
+      "ĠN issan",
+      "ir ie",
+      "Ġod or",
+      "ĠZ ar",
+      "ok s",
+      "Ġmilit ias",
+      "ĠSP EC",
+      "Ġtoler ated",
+      "ars er",
+      "ĠBrad ford",
+      "+ ,",
+      "Ġsur real",
+      "s f",
+      "Can adian",
+      "Ġresemb lance",
+      "Ġcarbohyd rate",
+      "VI EW",
+      "Ġaccess ory",
+      "me al",
+      "larg est",
+      "ieg el",
+      "Some one",
+      "Ġtoug hest",
+      "os o",
+      "Ġfun nel",
+      "Ġcondemn ation",
+      "lu ent",
+      "Ġw ired",
+      "ĠSun set",
+      "Jes us",
+      "ĠP ST",
+      "ĠP ages",
+      "ĠTy coon",
+      "ĠP F",
+      "Ġselect ions",
+      "Ġ à¤",
+      "part isan",
+      "Ġhigh s",
+      "ĠR une",
+      "Ġcraft s",
+      "le ad",
+      "ĠParent s",
+      "Ġre claim",
+      "ek er",
+      "ĠAll ied",
+      "ae per",
+      "Ġlo oming",
+      "Ġbenefic iaries",
+      "ĠH ull",
+      "Stud ents",
+      "Jew ish",
+      "d j",
+      "Ġp act",
+      "tem plate",
+      "ĠOffic ials",
+      "ĠBay lor",
+      "Ġhe mp",
+      "Ġyouth s",
+      "ĠLevel s",
+      "ĠX iao",
+      "ĠC hes",
+      "Ġende avor",
+      "ĠRem oved",
+      "Ġhipp ocamp",
+      "H ell",
+      "ãĤ Ĭ",
+      "80 5",
+      "Ġd inosaur",
+      "ĠWr ath",
+      "ĠIndones ian",
+      "Ġcalcul ator",
+      "ĠD ictionary",
+      "Ġ4 20",
+      "ĠM AG",
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+      "t arians",
+      "Ġrestrict ing",
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+      "Ġweek day",
+      "OU NT",
+      "Ġsh rugged",
+      "leg round",
+      "Ġb ald",
+      "ĠDo ctors",
+      "Ġt outed",
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+      "Ġ2 14",
+      "Ġdiplom at",
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+      "v ice",
+      "r anked",
+      "ĠNap oleon",
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+      "ĠFore ver",
+      "t un",
+      "Ġbul b",
+      "ĠPD T",
+      "ĠC isco",
+      "V EN",
+      "Ġres umed",
+      "Ste ven",
+      "ĠManit oba",
+      "Ġfab ulous",
+      "ĠAg ents",
+      "19 84",
+      "Ġam using",
+      "ĠMyster ies",
+      "Ġor thodox",
+      "fl oor",
+      "Ġquestion naire",
+      "Ġpenet rate",
+      "Ġfilm makers",
+      "ĠUn c",
+      "Ġst amped",
+      "Ġth irteen",
+      "Ġout field",
+      "Ġforward ed",
+      "Ġapp ra",
+      "Ġa ided",
+      "t ry",
+      "Ġunf ocused",
+      "ĠL iz",
+      "ĠWend y",
+      "ĠSc ene",
+      "Ch arg",
+      "Ġreject s",
+      "Ġleft ist",
+      "ĠProv idence",
+      "ĠBr id",
+      "reg n",
+      "Ġprophe cy",
+      "ĠL IVE",
+      "4 99",
+      "Ġfor ge",
+      "ĠF ML",
+      "Ġintrins ic",
+      "ĠF rog",
+      "Ġw ont",
+      "ĠH olt",
+      "Ġfam ed",
+      "CL US",
+      "aeper nick",
+      "ĠH ate",
+      "ĠC ay",
+      "Ġregister ing",
+      "ort ality",
+      "rop y",
+      "ocaly ptic",
+      "a an",
+      "n av",
+      "Ġfasc ist",
+      "IF IED",
+      "Ġimpl icated",
+      "ĠRes ort",
+      "ĠChand ler",
+      "ĠBr ick",
+      "P in",
+      "ys c",
+      "Us age",
+      "ĠHel m",
+      "us ra",
+      "âĺħ âĺħ",
+      "ĠAb bas",
+      "Ġunanim ously",
+      "Ġke eper",
+      "Ġadd icted",
+      "?? ?",
+      "Ġhelm ets",
+      "Ġant ioxid",
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+      "80 8",
+      "gi ene",
+      "Ġwa its",
+      "Ġmin ion",
+      "ra ved",
+      "ĠP orsche",
+      "Ġdream ing",
+      "Ġ17 1",
+      "ĠC ain",
+      "Ġun for",
+      "ass o",
+      "ĠConfig uration",
+      "k un",
+      "hard t",
+      "Ġn ested",
+      "ĠL DS",
+      "L ES",
+      "Ġt ying",
+      "en os",
+      "Ġc ue",
+      "ĠMar qu",
+      "sk irts",
+      "Ġclick ed",
+      "Ġexp iration",
+      "ĠAccording ly",
+      "ĠW C",
+      "Ġbless ings",
+      "Ġaddict ive",
+      "ĠN arr",
+      "y x",
+      "ĠJagu ars",
+      "Ġrent s",
+      "ĠS iber",
+      "Ġt ipped",
+      "ous se",
+      "ĠFitz gerald",
+      "Ġhier arch",
+      "out ine",
+      "Ġwa velength",
+      "> .",
+      "ch id",
+      "ĠProcess ing",
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+      "r anking",
+      "E asy",
+      "ĠConst ruct",
+      "Ġt et",
+      "ins ured",
+      "H UD",
+      "Ġqu oting",
+      "Ġcommun icated",
+      "in x",
+      "Ġin mate",
+      "Ġerect ed",
+      "ĠAbs olutely",
+      "ĠSure ly",
+      "Ġun im",
+      "ĠThr one",
+      "he id",
+      "Ġcl aws",
+      "Ġsuper star",
+      "ĠL enn",
+      "ĠWh is",
+      "U k",
+      "ab ol",
+      "Ġsk et",
+      "ĠN iet",
+      "Ġper ks",
+      "Ġaff inity",
+      "Ġopen ings",
+      "phas is",
+      "Ġdiscrim inate",
+      "T ip",
+      "v c",
+      "Ġgr inding",
+      "ĠJenn y",
+      "Ġast hma",
+      "hol es",
+      "ĠHom er",
+      "Ġreg isters",
+      "ĠGl ad",
+      "Ġcre ations",
+      "Ġlith ium",
+      "Ġappl ause",
+      "unt il",
+      "Just ice",
+      "ĠTur ks",
+      "Ġsc andals",
+      "Ġb ake",
+      "t ank",
+      "M ech",
+      "ĠMe ans",
+      "ĠM aid",
+      "Republic ans",
+      "is al",
+      "wind ows",
+      "ĠSant os",
+      "Ġveget ation",
+      "33 8",
+      "t ri",
+      "Ġfl ux",
+      "ins ert",
+      "Ġclar ified",
+      "Ġmort g",
+      "ĠCh im",
+      "ĠT ort",
+      "Ġdiscl aim",
+      "met al",
+      "ĠAs ide",
+      "Ġindu ction",
+      "Ġinf l",
+      "Ġathe ists",
+      "amp h",
+      "Ġe ther",
+      "ĠV ital",
+      "ĠBu ilt",
+      "M ind",
+      "Ġweapon ry",
+      "S ET",
+      "Ġ18 6",
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+      "g am",
+      "cont ract",
+      "af a",
+      "Ġderiv atives",
+      "Ġsn acks",
+      "Ġch urn",
+      "E conom",
+      "Ġca pped",
+      "ĠUnder standing",
+      "ĠH ers",
+      "ĠI z",
+      "Ġd uct",
+      "I ENT",
+      "augh ty",
+      "Ġâľ Ķ",
+      "ĠN P",
+      "Ġsa iling",
+      "In itialized",
+      "Ġt ed",
+      "Ġreact ors",
+      "ĠL omb",
+      "Ġcho ke",
+      "ĠW orm",
+      "Ġadm iration",
+      "Ġsw ung",
+      "ens ibly",
+      "Ġr ash",
+      "ĠGo als",
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+      "Sh ot",
+      "ĠR as",
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+      "ĠB un",
+      "Work ing",
+      "Ġhar med",
+      "ĠPand ora",
+      "ĠL TE",
+      "Ġmush room",
+      "ĠCH AR",
+      "ĠF ee",
+      "ĠM oy",
+      "B orn",
+      "ol iberal",
+      "ĠMart ial",
+      "Ġgentle men",
+      "Ġling ering",
+      "Offic ial",
+      "Ġgra ffiti",
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+      "D er",
+      "Ġqu int",
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+      "ĠNOT ICE",
+      "ĠFlore nce",
+      "Ġpay able",
+      "Ġdep icts",
+      "ĠSpe cies",
+      "He art",
+      "âĶĢâĶĢâĶĢâĶĢ âĶĢâĶĢâĶĢâĶĢ",
+      "Ġencl osed",
+      "Incre ases",
+      "D aily",
+      "ĠL is",
+      "Ġenact ment",
+      "ĠB acon",
+      "ĠSt eele",
+      "dem and",
+      "Ġ18 3",
+      "Ġmouth s",
+      "Ġstr anded",
+      "Ġenhance ment",
+      "01 1",
+      "ĠWh ats",
+      "Ġhe aled",
+      "en y",
+      "ĠR ab",
+      "Ġ3 40",
+      "ĠLab yrinth",
+      "ro ach",
+      "ĠY osh",
+      "ĠCl ippers",
+      "Ġconcert s",
+      "Intern et",
+      "35 5",
+      "Ġstick ers",
+      "Ġter med",
+      "ĠAx e",
+      "Ġgrand parents",
+      "Fr ance",
+      "ĠCl im",
+      "ĠU h",
+      "ul ic",
+      "Ġthr ill",
+      "cent ric",
+      "ĠOver view",
+      "ĠCond uct",
+      "Ġsubstant ive",
+      "Ġ18 2",
+      "m ur",
+      "Ġstr ay",
+      "ĠCo ff",
+      "Ġrep etitive",
+      "ĠFor gotten",
+      "Ġqual ification",
+      "ew itness",
+      "ĠZ imbabwe",
+      "Ġsim ulated",
+      "ĠJ D",
+      "25 3",
+      "ĠW are",
+      "Ġun sc",
+      "T imes",
+      "Ġsum mons",
+      "Ġdis connected",
+      "Ġ18 4",
+      "ci us",
+      "ĠGu jar",
+      "od ka",
+      "Ġer ase",
+      "ĠTob acco",
+      "elect ed",
+      "Ġun cont",
+      "ĠShe pard",
+      "ĠL amp",
+      "Ġalert ed",
+      "Ġoper ative",
+      "arn a",
+      "u int",
+      "Ġneglig ence",
+      "ac ements",
+      "Ġsup ra",
+      "Ġprev ail",
+      "ĠSh ark",
+      "Ġbel ts",
+      "ãģ «",
+      "Ġt ighter",
+      "Engine ers",
+      "Ġin active",
+      "Ġexp onent",
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+      "a ples",
+      "Ġhe ir",
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+      "ian n",
+      "ĠS ays",
+      "Ġcurrent s",
+      "ĠBeng al",
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+      "B uffer",
+      "Ġbree ze",
+      "ĠWes ley",
+      "Col a",
+      "Ġpron oun",
+      "Ġde ed",
+      "ĠK ling",
+      "Ġof t",
+      "Ġinf lict",
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+      "01 4",
+      "Ġsubsid y",
+      "ĠDE A",
+      "ĠHer bert",
+      "ĠJ al",
+      "B ank",
+      "Ġdef erred",
+      "Ġship ment",
+      "B ott",
+      "Ġal le",
+      "b earing",
+      "HT ML",
+      "Off line",
+      "Ġ2 13",
+      "Ġscroll ing",
+      "Ġsc anned",
+      "ĠLib yan",
+      "ĠT OP",
+      "ch rom",
+      "d t",
+      "col umn",
+      "Psy NetMessage",
+      "Z ero",
+      "Ġtor so",
+      "0 50",
+      "âķ IJ",
+      "Ġimp erson",
+      "ĠSchw artz",
+      "ud ic",
+      "Ġpiss ed",
+      "ĠS app",
+      "25 7",
+      "ĠIS Ps",
+      "og l",
+      "Ġsuper vised",
+      "Ġad olescent",
+      "Ġatt ained",
+      "ĠDel ivery",
+      "ĠB unny",
+      "Ġ19 37",
+      "Ġmini ature",
+      "Ġo s",
+      "Ġ3 70",
+      "60 8",
+      "ĠMour inho",
+      "Ġinn ate",
+      "Ġtem po",
+      "ĠN M",
+      "ĠFall en",
+      "00 9",
+      "Ġprov ocative",
+      "Stream er",
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+      "ĠBol she",
+      "Ġt urtle",
+      "ĠPC B",
+      "ĠEqu al",
+      "Direct or",
+      "ĠR end",
+      "Ġflu ids",
+      "Author ities",
+      "Ġcous ins",
+      "requ ency",
+      "ĠNeigh bor",
+      "s ets",
+      "sh ared",
+      "Char les",
+      "pass word",
+      "Ġg ears",
+      "Ġ2 11",
+      "ĠHard ware",
+      "ri ka",
+      "Ġup stream",
+      "H om",
+      "Ġdisproportion ately",
+      "iv ities",
+      "Ġund efined",
+      "Ġelect rons",
+      "Ġcommem or",
+      "Event ually",
+      "Ġ> <",
+      "Ġir responsible",
+      "2 18",
+      "ĠRe leased",
+      "ĠO VER",
+      "ĠI GN",
+      "ĠB read",
+      "st ellar",
+      "ĠS age",
+      "tt ed",
+      "dam age",
+      "ed ition",
+      "ĠPre c",
+      "Ġl ime",
+      "Ġconf inement",
+      "Ġcal orie",
+      "we apon",
+      "Ġdiff ering",
+      "ĠS ina",
+      "m ys",
+      "am d",
+      "Ġintric ate",
+      "k k",
+      "ĠP AT",
+      "ã o",
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+      "lin ks",
+      "Ġr anch",
+      "Sem itic",
+      "Ġdifferent iate",
+      "ĠS inger",
+      "occup ied",
+      "Ġfort ress",
+      "c md",
+      "Ġinter ception",
+      "ĠAnk ara",
+      "Ġre pt",
+      "ĠSol itaire",
+      "Ġrem ake",
+      "p red",
+      "Ġd ared",
+      "aut ions",
+      "ĠB ACK",
+      "Run ning",
+      "Ġdebug ging",
+      "Ġgraph s",
+      "3 99",
+      "ĠNig el",
+      "Ġb un",
+      "Ġpill ow",
+      "Ġprog ressed",
+      "fashion ed",
+      "Ġob edience",
+      "ER N",
+      "Ġrehe ars",
+      "C ell",
+      "t l",
+      "S her",
+      "Ġher ald",
+      "ĠPay ment",
+      "ĠC ory",
+      "ĠDe pt",
+      "Ġrep ent",
+      "ĠWe ak",
+      "uck land",
+      "Ġple asing",
+      "Ġshort ages",
+      "Ġjur ors",
+      "ĠK ab",
+      "q qa",
+      "Ant i",
+      "Ġw ow",
+      "ĠRC MP",
+      "Ġt sun",
+      "ĠS ic",
+      "Ġcomp rises",
+      "Ġsp ies",
+      "Ġprec inct",
+      "n u",
+      "Ġur ges",
+      "Ġtim ed",
+      "Ġstrip es",
+      "ĠB oots",
+      "Ġy en",
+      "Adv anced",
+      "Ġdisc rete",
+      "ĠArch angel",
+      "employ ment",
+      "D iff",
+      "Ġmon uments",
+      "Ġ20 9",
+      "work er",
+      "Ġ19 6",
+      "ĠI g",
+      "utter stock",
+      "T PS",
+      "J ac",
+      "Ġhomeless ness",
+      "Ġcomment ator",
+      "Ġrac ially",
+      "f ing",
+      "se ed",
+      "E le",
+      "ell ation",
+      "Ġeth anol",
+      "Ġpar ish",
+      "ĠD ong",
+      "ĠAw akening",
+      "Ġdev iation",
+      "ĠB earing",
+      "ĠTsu k",
+      "Ġrec ess",
+      "Ġl ymph",
+      "ĠCann abis",
+      "å ľ",
+      "ĠNEW S",
+      "Ġd ra",
+      "ĠStef an",
+      "ĠWr ong",
+      "ĠS AM",
+      "Ġloose ly",
+      "Ġinterpre ter",
+      "ĠPl ain",
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+      "27 4",
+      "Ġcyn ical",
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+      "l ocks",
+      "M p",
+      "Ġcon gregation",
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+      "ph il",
+      "ĠI bid",
+      "Ġf erv",
+      "Ġdisapp earing",
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+      "sy n",
+      "ĠMa ver",
+      "ĠSu it",
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+      "ack ers",
+      "P a",
+      "ĠY el",
+      "Whe never",
+      "Ġ23 5",
+      "ĠV ine",
+      "ĠAn at",
+      "Ġext inct",
+      "LE T",
+      "Ġexecut able",
+      "V ERS",
+      "ox ide",
+      "D NA",
+      "ĠP rel",
+      "Ġresent ment",
+      "Ġcompr ise",
+      "ĠAv iv",
+      "Ġinter ceptions",
+      "Ġprol ific",
+      "IN A",
+      "ĠEr in",
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+      "2 19",
+      "ĠPsychiat ry",
+      "un ky",
+      "chem ist",
+      "H o",
+      "ĠMcC oy",
+      "Ġbr icks",
+      "L os",
+      "ri ly",
+      "ĠUS SR",
+      "Ġr ud",
+      "Ġl aud",
+      "ĠW ise",
+      "ĠEmer ald",
+      "Ġrev ived",
+      "Ġdam ned",
+      "ĠRep air",
+      "id em",
+      "ct ica",
+      "Ġpatri arch",
+      "ĠN urs",
+      "me g",
+      "Ġcheap est",
+      "re ements",
+      "empt y",
+      "ĠCele br",
+      "Ġdepri vation",
+      "ch anted",
+      "ĠTh umbnails",
+      "E nergy",
+      "ĠEth an",
+      "ĠQ ing",
+      "Ġopp oses",
+      "W IND",
+      "v ik",
+      "ĠM au",
+      "ĠS UB",
+      "66 7",
+      "G RE",
+      "ĠVol unte",
+      "nt on",
+      "C ook",
+      "å IJ",
+      "es que",
+      "Ġplum met",
+      "Ġsu ing",
+      "Ġpron ounce",
+      "Ġresist ing",
+      "ĠF ishing",
+      "ĠTri als",
+      "Ġy ell",
+      "Ġ3 10",
+      "Ġin duct",
+      "Ġpersonal ized",
+      "oft en",
+      "R eb",
+      "EM BER",
+      "Ġview point",
+      "Ġexist ential",
+      "() )",
+      "rem ove",
+      "MENT S",
+      "l asses",
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+      "Ġl ions",
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+      "ĠTh orn",
+      "ĠRa ider",
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+      "ĠOr t",
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+      "Ġms g",
+      "Ġden omin",
+      "ĠRef erences",
+      "ĠF P",
+      "Ġplun ged",
+      "Ġp amph",
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+      "it he",
+      "Ġo ve",
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+      "c rop",
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+      "ĠE h",
+      "Ġinterview ing",
+      "ĠQ in",
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+      "Ġcla uses",
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+      "ĠN ir",
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+      "Ġh ose",
+      "Ġsystem d",
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+      "Ġvolcan ic",
+      "Ġwom b",
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+      "Ġrest rained",
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+      "Ġhum ane",
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+      "CH AT",
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+      "ĠPer se",
+      "Ġintoler ance",
+      "ĠSnap chat",
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+      "Ġd ummy",
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+      "Ġcondem ning",
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+      "zz y",
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+      "ĠPre vent",
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+      "AN A",
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+      "Ġru pt",
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+      "y ton",
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+      "Ġsat ir",
+      "Ġinsurg ents",
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+      "our ning",
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+      "L y",
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+      "Ġt ipping",
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+      "Ġen vy",
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+      "Ġind ifferent",
+      "ĠR ica",
+      "ĠHim self",
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+      "Ġad ip",
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+      "Ġhur ried",
+      "ĠHu ang",
+      "ĠD isk",
+      "Ġro aming",
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+      "ãģ ¯",
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+      "Ġaud ition",
+      "ĠHe ck",
+      "Ġc aster",
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+      "ĠC ron",
+      "ĠL iam",
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+      "P ick",
+      "ĠDeb ug",
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+      "ĠH ort",
+      "C ounter",
+      "st asy",
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+      "f uck",
+      "ĠB ie",
+      "Ġair ing",
+      "ĠPro tein",
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+      "Ġspect ators",
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+      "Te le",
+      "B oston",
+      "ĠTem pl",
+      "st ay",
+      "Ġdecl arations",
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+      "Vol ume",
+      "ĠDesign er",
+      "ĠOver watch",
+      "id ae",
+      "Ġon wards",
+      "Ġn ets",
+      "ĠMan ila",
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+      "o other",
+      "Ġport raits",
+      "Ġpave ment",
+      "c ffff",
+      "Ġs aints",
+      "Ġbegin ners",
+      "ES PN",
+      "Ġshort comings",
+      "âķIJ âķIJ",
+      "Ġcom et",
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+      "qu el",
+      "Ġhospital ized",
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+      "Ġpe el",
+      "dyl ib",
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+      "ur ances",
+      "ĠT IM",
+      "P g",
+      "Ġread able",
+      "ĠMal ik",
+      "Ġm uzzle",
+      "Ġbench marks",
+      "d al",
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+      "ĠH icks",
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+      "ĠB iblical",
+      "he ng",
+      "Ġover load",
+      "ĠCivil ization",
+      "Ġimm oral",
+      "Ġf ries",
+      "ãĤ Ĵ",
+      "Ġreprodu ced",
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+      "j ug",
+      "ire z",
+      "g ear",
+      "Ġco ached",
+      "Mp Server",
+      "ĠS J",
+      "ĠK w",
+      "In it",
+      "d eal",
+      "ĠO ro",
+      "ĠL oki",
+      "ĠSong s",
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+      "Ġunc ond",
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+      "Ġprogress ives",
+      "ĠEn ough",
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+      "tern ess",
+      "ĠH omes",
+      "ĠP urdue",
+      "Ġst aunch",
+      "ĠWhit ney",
+      "ĠTH ERE",
+      "Î ¼",
+      "iat us",
+      "ĠErn est",
+      "ĠDe ploy",
+      "Ġcove ted",
+      "F ML",
+      "ĠDial ogue",
+      "Ġex ited",
+      "f ruit",
+      "Ġner d",
+      "\":\" \",\"",
+      "Ġv ivo",
+      "ru ly",
+      "4 60",
+      "ĠAm en",
+      "rehens ible",
+      "Ġâ ĺ",
+      "D IR",
+      "Ġad herence",
+      "Ġche w",
+      "ĠCo ke",
+      "ĠSerge i",
+      "dig ital",
+      "ĠNe ck",
+      "g ently",
+      "enth al",
+      "/ )",
+      "Ġwe ary",
+      "Ġgu ise",
+      "ĠConc ord",
+      "ĠOn ion",
+      "at cher",
+      "Ġb inge",
+      "ĠDirect ive",
+      "Ġman ned",
+      "ans k",
+      "Ġill usions",
+      "Ġbillion aires",
+      "38 3",
+      "oly n",
+      "odynam ic",
+      "ĠWhe at",
+      "ĠA lic",
+      "Ġcol oured",
+      "ĠN AFTA",
+      "ab o",
+      "Ġmac ros",
+      "ind ependent",
+      "s weet",
+      "Ġsp ac",
+      "ĠK abul",
+      "Ġ Ä",
+      "em e",
+      "Ġdict ated",
+      "Ġsh outs",
+      "= {",
+      "Ġr ipping",
+      "ĠSh ay",
+      "ĠCr icket",
+      "direct ed",
+      "Ġanalys ed",
+      "ĠWAR RANT",
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+      "ĠBlaz ers",
+      "Ġche ered",
+      "Ġar ithmetic",
+      "ĠTan z",
+      "37 3",
+      "ĠFl ags",
+      "Ġ29 5",
+      "Ġw itches",
+      "ĠIn cluded",
+      "ĠG ained",
+      "ĠBl ades",
+      "G am",
+      "ĠSam antha",
+      "ĠAtl antis",
+      "ĠPr att",
+      "Ġspo iled",
+      "ĠI B",
+      "ĠRam irez",
+      "Pro bably",
+      "re ro",
+      "ĠN g",
+      "ĠWar lock",
+      "t p",
+      "Ġover he",
+      "Ġadministr ations",
+      "Ġt int",
+      "Ġreg iment",
+      "Ġpist ols",
+      "Ġblank ets",
+      "Ġep ist",
+      "Ġbowl s",
+      "Ġhydra ulic",
+      "Ġde an",
+      "Ġj ung",
+      "Ġasc end",
+      "70 5",
+      "ĠSant iago",
+      "Ã ®",
+      "Ġun avoid",
+      "ĠSh aman",
+      "re b",
+      "Ġstem ming",
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+      "ĠM G",
+      "st icks",
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+      "ER O",
+      "Ġmor bid",
+      "ĠGr ill",
+      "ĠP oe",
+      "any l",
+      "Ġdele ting",
+      "ĠSurve illance",
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+      "Ġiter ations",
+      "ĠR ox",
+      "ĠMil ky",
+      "F ather",
+      "Ġpat ented",
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+      "Ġprec ursor",
+      "Ġm aiden",
+      "ĠP hen",
+      "ĠVe gan",
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+      "K elly",
+      "Redd itor",
+      "Ġn ods",
+      "Ġvent ilation",
+      "ĠSchwar z",
+      "Ġw izards",
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+      "ĠHe ads",
+      "ĠB G",
+      "Ġl umber",
+      "ĠSp iel",
+      "Ġis Enabled",
+      "Ġancest ral",
+      "ĠSh ips",
+      "Ġwrest ler",
+      "ph i",
+      "Ġy uan",
+      "ĠRebell ion",
+      "Ġice berg",
+      "Ġmag ically",
+      "Ġdivers ion",
+      "ar ro",
+      "yth m",
+      "ĠR iders",
+      "ĠRob bie",
+      "ĠK ara",
+      "ĠMain tenance",
+      "ĠHer b",
+      "Ġhar ms",
+      "p acked",
+      "ĠFe instein",
+      "Ġmarry ing",
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+      "ĠR ates",
+      "Ġ18 80",
+      "Ġwr ink",
+      "ĠUn ch",
+      "ĠTor ch",
+      "desc ribed",
+      "Ġhuman oid",
+      "ilit ating",
+      "ĠCon v",
+      "ĠFe ld",
+      "IGH TS",
+      "Ġwhistlebl ower",
+      "ort mund",
+      "ets y",
+      "arre tt",
+      "ĠMon o",
+      "ĠI ke",
+      "ĠC NBC",
+      "ĠW AY",
+      "ĠMD MA",
+      "ĠIndividual s",
+      "Ġsupplement al",
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+      "F ocus",
+      "aph ael",
+      "ĠCol leg",
+      "att i",
+      "Z A",
+      "Ġp erenn",
+      "ĠSign ature",
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+      "Ġcub es",
+      "idd led",
+      "ĠD ante",
+      "ĠIN V",
+      "iling ual",
+      "ĠC th",
+      "Ġso fa",
+      "Ġintimid ate",
+      "ĠR oe",
+      "ĠDi plom",
+      "ĠCount ries",
+      "ays on",
+      "Ġextrad ition",
+      "Ġdis abling",
+      "ĠCard iff",
+      "Ġmemor andum",
+      "ĠTr ace",
+      "Ġ?? ?",
+      "se ctor",
+      "ĠRou hani",
+      "ĠY ates",
+      "ĠFree ze",
+      "Ġbl adder",
+      "M otor",
+      "ĠProm ise",
+      "ant asy",
+      "Ġforesee able",
+      "ĠC ologne",
+      "cont ainer",
+      "ĠTre es",
+      "ĠG ors",
+      "ĠSin clair",
+      "Ġbar ring",
+      "key e",
+      "Ġsl ashed",
+      "ĠStat istical",
+      "é ĩ",
+      "Ġâĸ º",
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+      "Ġhum ility",
+      "Ġdr illed",
+      "ĠF urn",
+      "44 3",
+      "Ġse wage",
+      "Ġhome page",
+      "Ġcour tyard",
+      "Ġv ile",
+      "Ġsubsid iaries",
+      "aj o",
+      "direct ory",
+      "Ġam mon",
+      "V ers",
+      "charg es",
+      "Ġ} }",
+      "ĠCh ains",
+      "Ġ24 6",
+      "n ob",
+      "Ġper cept",
+      "Ġg rit",
+      "Ġfisher men",
+      "ĠIraq is",
+      "ĠDIS TR",
+      "ĠF ULL",
+      "ĠEval uation",
+      "g raph",
+      "at ial",
+      "Ġcooper ating",
+      "Ġmel an",
+      "Ġenlight ened",
+      "Ġal i",
+      "t ailed",
+      "Ġsal ute",
+      "Ġweak est",
+      "ĠBull dogs",
+      "U A",
+      "ĠAll oy",
+      "Ġsem en",
+      "oc ene",
+      "ĠWilliam son",
+      "s pr",
+      ", âĢĶ",
+      "ĠG F",
+      "itt ens",
+      "Be at",
+      "ĠJ unk",
+      "iph ate",
+      "ĠFarm ers",
+      "ĠBit coins",
+      "ig ers",
+      "d h",
+      "ĠL oyal",
+      "p ayer",
+      "Ġentert ained",
+      "Ġpenn ed",
+      "Ġcoup on",
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+      "Ġweaken ing",
+      "c arry",
+      "Ġunderest imate",
+      "Ġshoot out",
+      "Ġcharism atic",
+      "ĠProced ure",
+      "Ġprud ent",
+      "in ances",
+      "Ġric hes",
+      "Ġcort ical",
+      "Ġstr ides",
+      "Ġd rib",
+      "ĠOil ers",
+      "5 40",
+      "ĠPer form",
+      "ĠBang kok",
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+      "Ġsimpl istic",
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+      "camp aign",
+      "Q uality",
+      "Ġimpover ished",
+      "ĠEisen hower",
+      "Ġaug ment",
+      "ĠH arden",
+      "Ġinterven ed",
+      "Ġlist ens",
+      "ĠK ok",
+      "Ġs age",
+      "Ġrub bish",
+      "ĠD ed",
+      "Ġm ull",
+      "pe lling",
+      "Ġvide ot",
+      "Produ ction",
+      "D J",
+      "m iah",
+      "Ġadapt ations",
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+      "Ġboard ed",
+      "Ġarrog ance",
+      "Ġscra pped",
+      "Ġopp ress",
+      "FORM ATION",
+      "Ġj unction",
+      "4 15",
+      "EE EE",
+      "S kill",
+      "Ġsub du",
+      "ĠSug gest",
+      "ĠP ett",
+      "Ġle tt",
+      "ĠMan ip",
+      "ĠC af",
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+      "T her",
+      "Ġreg ained",
+      "¶ æ",
+      "ref lect",
+      "Ġth ugs",
+      "ĠShel by",
+      "Ġdict ates",
+      "ĠWe iner",
+      "ĠH ale",
+      "Ġbatt leground",
+      "s child",
+      "Ġcond ol",
+      "h unt",
+      "osit ories",
+      "Ġacc uses",
+      "Fil ename",
+      "Ġsh ri",
+      "Ġmotiv ate",
+      "Ġreflect ions",
+      "N ull",
+      "ĠL obby",
+      "¥ µ",
+      "ĠS ATA",
+      "ĠBack up",
+      "Ñ ĥ",
+      "n in",
+      "ĠCor rection",
+      "Ġju icy",
+      "ut ra",
+      "ĠP ric",
+      "Ġrest raining",
+      "ĠAir bnb",
+      "ĠAr rest",
+      "Ġappropri ations",
+      "Ġsl opes",
+      "Ġmans laughter",
+      "Ġwork ings",
+      "ĠH uss",
+      "ĠF rey",
+      "Le ave",
+      "ĠHarm ony",
+      "ĠF eder",
+      "Ġ4 30",
+      "Ġt rench",
+      "Ġglad ly",
+      "Ġbull pen",
+      "ĠG au",
+      "b ones",
+      "Ġgro ove",
+      "Ġpre text",
+      "ã ħĭ",
+      "Ġtransm itter",
+      "ĠComp onent",
+      "Ġunder age",
+      "ĠEm pires",
+      "T ile",
+      "Ġo y",
+      "ĠMar vin",
+      "ĠC AS",
+      "Ġbl oss",
+      "Ġrepl icated",
+      "ĠMar iners",
+      "Marc us",
+      "ĠBl ocks",
+      "Ġliber ated",
+      "Ġbutter fly",
+      "Fe el",
+      "Ġfer mentation",
+      "Ġyou tube",
+      "Ġoff end",
+      "ĠTer m",
+      "res ist",
+      "Ġcess ation",
+      "Ġinsurg ency",
+      "Ġb ir",
+      "ĠRa ise",
+      "59 5",
+      "Ġhypothes es",
+      "50 2",
+      "Ġpl aque",
+      "ocr at",
+      "Ġjack ets",
+      "ĠHuff Post",
+      "am ong",
+      "Ġconf er",
+      "48 7",
+      "ĠL illy",
+      "Ġadapt ing",
+      "ĠF ay",
+      "Ġsh oved",
+      "ve c",
+      "Ġref ine",
+      "Ġg on",
+      "Ġgun men",
+      "z ai",
+      "ĠShut tle",
+      "ĠI zan",
+      "Ġ19 13",
+      "Ġple thora",
+      "· ·",
+      "Ġ5 10",
+      "Ġp uberty",
+      "Ġ24 1",
+      "ĠWe alth",
+      "ĠAl ma",
+      "ĠM EM",
+      "ĠAd ults",
+      "C as",
+      "pr ison",
+      "R ace",
+      "Ġwater proof",
+      "Ġathlet icism",
+      "Ġcapital ize",
+      "ĠJu ice",
+      "Ġillum inated",
+      "ĠP ascal",
+      "Ġirrit ation",
+      "ĠWitness es",
+      "ad le",
+      "ĠAst ro",
+      "Ġf ax",
+      "ĠEl vis",
+      "Prim ary",
+      "ĠL ich",
+      "ĠEl ves",
+      "Ġres iding",
+      "Ġst umble",
+      "3 19",
+      "ĠP KK",
+      "Ġadvers aries",
+      "D OS",
+      "ĠR itual",
+      "Ġsm ear",
+      "Ġar son",
+      "ident al",
+      "Ġsc ant",
+      "Ġmon archy",
+      "Ġhal ftime",
+      "Ġresid ue",
+      "Ġind ign",
+      "ĠSh aun",
+      "ĠEl m",
+      "aur i",
+      "A ff",
+      "W ATCH",
+      "ĠLy on",
+      "hel ps",
+      "36 1",
+      "Ġlobby ist",
+      "Ġdimin ishing",
+      "Ġout breaks",
+      "Ġgo ats",
+      "f avorite",
+      "ĠN ah",
+      "son ian",
+      "ĠBo oster",
+      "Ġsand box",
+      "ĠF are",
+      "ĠMalt a",
+      "Ġatt Rot",
+      "ĠM OR",
+      "ld e",
+      "Ġnavig ating",
+      "T ouch",
+      "Ġunt rue",
+      "ĠDis aster",
+      "Ġl udicrous",
+      "Pass word",
+      "ĠJ FK",
+      "blog spot",
+      "4 16",
+      "ĠUN DER",
+      "ern al",
+      "Ġdelay ing",
+      "T OP",
+      "Ġimpl ants",
+      "ĠAV G",
+      "ĠH uge",
+      "att r",
+      "Ġjournal istic",
+      "ĠPe yton",
+      "ĠI A",
+      "R ap",
+      "go al",
+      "ĠProgram me",
+      "Ġsm ashing",
+      "w ives",
+      "print ln",
+      "ĠPl ague",
+      "in us",
+      "EE P",
+      "Ġcru iser",
+      "ĠPar ish",
+      "umin ium",
+      "Ġoccup ants",
+      "ĠJ ihad",
+      "m op",
+      "Ġp int",
+      "Ġhe ct",
+      "ĠMe cca",
+      "direct or",
+      "ĠFund ing",
+      "ĠM ixed",
+      "Ġst ag",
+      "T ier",
+      "Ġg ust",
+      "Ġbright ly",
+      "ors i",
+      "Ġup hill",
+      "R D",
+      "Ġles ions",
+      "ĠBund y",
+      "liv ious",
+      "Ġbi ologist",
+      "ĠFac ulty",
+      "ĠAuthor ization",
+      "Ġ24 4",
+      "All ow",
+      "ï ¸",
+      "ĠGi ul",
+      "Ġpert inent",
+      "ot aur",
+      "es se",
+      "ĠRo of",
+      "Ġunman ned",
+      "35 1",
+      "ĠSh ak",
+      "ĠO rient",
+      "Ġend anger",
+      "D ir",
+      "Ġrepl en",
+      "ed ient",
+      "Ġtail or",
+      "Ġgad gets",
+      "Ġaud ible",
+      "âĺ Ĩ",
+      "N ice",
+      "Ġbomb ard",
+      "ĠR ape",
+      "Ġdef iance",
+      "ĠTW O",
+      "ĠFilip ino",
+      "Ġunaff ected",
+      "erv atives",
+      "Ġso ared",
+      "ĠBol ton",
+      "Ġcomprom ising",
+      "ĠBrew ers",
+      "R AL",
+      "ĠA HL",
+      "icy cle",
+      "Ġv ampires",
+      "Ġdi pped",
+      "oy er",
+      "ĠX III",
+      "Ġsidew ays",
+      "ĠW aste",
+      "ĠD iss",
+      "ĠâĶľ âĶĢâĶĢ",
+      "$ .",
+      "Ġhabit ats",
+      "ĠBe ef",
+      "tr uth",
+      "tr ained",
+      "spl it",
+      "R us",
+      "And y",
+      "ĠB ram",
+      "RE P",
+      "p id",
+      "è£ ħ",
+      "ĠMut ant",
+      "An im",
+      "ĠMar ina",
+      "Ġfut ile",
+      "hig hest",
+      "f requency",
+      "Ġepile psy",
+      "Ġcop ing",
+      "Ġconc ise",
+      "Ġtr acing",
+      "ĠS UN",
+      "pan el",
+      "ĠSoph ie",
+      "ĠCrow ley",
+      "ĠAd olf",
+      "ĠShoot er",
+      "Ġsh aky",
+      "ĠI G",
+      "ĠL ies",
+      "ĠBar ber",
+      "p kg",
+      "Ġupt ake",
+      "Ġpred atory",
+      "UL TS",
+      "/ **",
+      "Ġintox icated",
+      "ĠWest brook",
+      "od der",
+      "he ment",
+      "Ġbas eman",
+      "AP D",
+      "st orage",
+      "ĠFif ty",
+      "ed itor",
+      "G EN",
+      "UT ION",
+      "ir ting",
+      "Ġse wing",
+      "r ift",
+      "Ġag ony",
+      "ĠS ands",
+      "Ġ25 4",
+      "C ash",
+      "Ġl odge",
+      "Ġp unt",
+      "N atural",
+      "ĠIde as",
+      "Ġerrone ous",
+      "ĠSens or",
+      "ĠHann ity",
+      "Ġ19 21",
+      "Ġm ould",
+      "ĠG on",
+      "kay a",
+      "Ġanonym ously",
+      "ĠK EY",
+      "Ġsim ulator",
+      "W inter",
+      "Ġstream ed",
+      "50 7",
+      "? \",",
+      "Ġte ased",
+      "Ġco efficient",
+      "Ġwart ime",
+      "ĠTH R",
+      "' '.",
+      "ĠBank ing",
+      "mp ire",
+      "Ġf andom",
+      "Ġl ia",
+      "G a",
+      "Ġdown hill",
+      "Ġinterpre ting",
+      "Ind ividual",
+      "N orm",
+      "Ġjealous y",
+      "bit coin",
+      "Ġple asures",
+      "ĠToy s",
+      "ĠChev rolet",
+      "ĠAd visor",
+      "IZ E",
+      "Ġrecept ions",
+      "70 6",
+      "C ro",
+      "Ġ26 2",
+      "Ġcit rus",
+      "ir u",
+      "Review er",
+      "ject ed",
+      "U ES",
+      "an z",
+      "19 81",
+      "ĠWork er",
+      "Ġcompl ied",
+      "ores cent",
+      "contin ental",
+      "T on",
+      "ĠPr ism",
+      "ĠShe ep",
+      "Ġ28 8",
+      "n ox",
+      "ĠV og",
+      "O rd",
+      "Ġreal ms",
+      "te k",
+      "Ġirrig ation",
+      "Ġbicy cles",
+      "Ġelectron ically",
+      "p oly",
+      "t all",
+      "() );",
+      "Ġaest hetics",
+      "ĠInteg rated",
+      "Expl ore",
+      "Ġd unk",
+      "47 6",
+      "p ain",
+      "ĠJac ques",
+      "ĠD mit",
+      "Fram es",
+      "Ġreun ited",
+      "Ġhum id",
+      "D ro",
+      "P olitical",
+      "Ġyouth ful",
+      "Ġent ails",
+      "Ġmosqu ito",
+      "36 3",
+      "spe cies",
+      "Ġcoord inating",
+      "ĠMay hem",
+      "ĠMagn us",
+      "M ount",
+      "Impro ved",
+      "ĠST ATE",
+      "ATT LE",
+      "Ġflow ed",
+      "Ġtack led",
+      "Ġfashion ed",
+      "Ġre organ",
+      "iv ari",
+      "f inger",
+      "Ġreluct antly",
+      "et ting",
+      "ĠV and",
+      "you ng",
+      "ĠGar land",
+      "Ġpresum ption",
+      "Ġamen ities",
+      "ĠPle asant",
+      "on ential",
+      "ĠO xy",
+      "Ġmor als",
+      "ĠY ah",
+      "Read y",
+      "Sim on",
+      "En h",
+      "D emon",
+      "Ġcl ich",
+      "Mon itor",
+      "ĠD U",
+      "Ġwel comes",
+      "Ġstand out",
+      "Ġdread ful",
+      "Ġban anas",
+      "Ġball oons",
+      "h ooting",
+      "bas ic",
+      "Ġsuff ix",
+      "Ġd uly",
+      "can o",
+      "Ch ain",
+      "at os",
+      "Ġgeop olitical",
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+      "Ġlo fty",
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+      "Ġcol i",
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+      "Ġover cl",
+      "ik awa",
+      "ĠC yr",
+      "Ġ38 4",
+      "78 9",
+      "ĠAll ows",
+      "10 27",
+      "Det roit",
+      "TR Y",
+      "set up",
+      "ĠSocial ism",
+      "Sov iet",
+      "s usp",
+      "ĠAP R",
+      "ĠShut down",
+      "Ġal uminium",
+      "zb ek",
+      "ĠL over",
+      "GGGG GGGG",
+      "Ġdemocr acies",
+      "Ġ19 08",
+      "ĠMer rill",
+      "ĠFranco is",
+      "gd ala",
+      "Ġtraff ickers",
+      "ĠT il",
+      "ĠGo at",
+      "Ġsp ed",
+      "ĠRes erv",
+      "Ġpro d",
+      "55 2",
+      "Ġc ac",
+      "ĠUn iv",
+      "ĠSch we",
+      "Ġsw irling",
+      "ĠWild erness",
+      "ĠEgg s",
+      "Ġsadd ened",
+      "Ġarch aic",
+      "H yd",
+      "Ġexcess ively",
+      "B RE",
+      "Ġaer ospace",
+      "ĠVo ices",
+      "Cra ig",
+      "Ġign ited",
+      "In itially",
+      "ĠMc A",
+      "Ġhand set",
+      "Ġreform ing",
+      "Ġfrust rations",
+      "ĠDead pool",
+      "ĠBel ichick",
+      "ract or",
+      "ĠRagnar ok",
+      "ĠD rupal",
+      "ĠApp roximately",
+      "19 20",
+      "ĠHub ble",
+      "arm or",
+      "ĠSar as",
+      "ĠJon as",
+      "Ġnostalg ic",
+      "Ġfeas ibility",
+      "Sah aran",
+      "Ġorb iting",
+      "Ġ9 70",
+      "R u",
+      "Ġsh in",
+      "ĠInvestig ators",
+      "Ġinconsist encies",
+      "ĠP AN",
+      "B G",
+      "Ġgraz ing",
+      "Ġdetect ors",
+      "ĠStart up",
+      "ĠFun ny",
+      "ĠNa omi",
+      "Consider ing",
+      "Ġh og",
+      "ut f",
+      "ce mic",
+      "Ġfort ified",
+      "ĠFun ctions",
+      "Ġcod ec",
+      "nut rition",
+      "H at",
+      "\" !",
+      "micro soft",
+      "55 8",
+      "ĠTh in",
+      "ĠA CE",
+      "Al ias",
+      "ĠO PS",
+      "p apers",
+      "P K",
+      "ãĢ İ",
+      "Ġimpro bable",
+      "N orthern",
+      "equ al",
+      "Ġlook out",
+      "Ġty res",
+      "ĠMod ified",
+      "ĠK op",
+      "Abs olutely",
+      "Ġbuild up",
+      "sil ver",
+      "Ġaud i",
+      "Ġgro tesque",
+      "ĠSab er",
+      "ĠPres byter",
+      "ON Y",
+      "Ġglac iers",
+      "ĠSho als",
+      "ĠK ass",
+      "ĠH RC",
+      "ĠNic ol",
+      "ĠL unch",
+      "ĠF oss",
+      "âĸ Ĵ",
+      "AD RA",
+      "ĠOne Plus",
+      "o ing",
+      "ground s",
+      "Ġincident al",
+      "Ġdatas ets",
+      "68 9",
+      "ĠClarks on",
+      "Ġassemb ling",
+      "ĠCorrect ions",
+      "Ġdrink ers",
+      "Ġqual ifiers",
+      "Ġle ash",
+      "Ġunf ounded",
+      "ĠH undred",
+      "Ġkick off",
+      "T i",
+      "Ġrecon cil",
+      "ĠGr ants",
+      "ĠCompl iance",
+      "ĠDexter ity",
+      "Ġ19 06",
+      "w arn",
+      "D allas",
+      "Max imum",
+      "n ard",
+      "av ia",
+      "be aut",
+      "ens itivity",
+      "tr ace",
+      "Ġpione ers",
+      "ĠF ract",
+      "ãĢ ı",
+      "Ġpre cept",
+      "Ġgloss y",
+      "ĠI EEE",
+      "Ac ross",
+      "Ġ6 80",
+      "S leep",
+      "che on",
+      "Ġsatir ical",
+      "ĠMin otaur",
+      "ĠCla ude",
+      "Ġr é",
+      "ape go",
+      "Ġcar rot",
+      "ĠSem in",
+      "ino a",
+      "Ġz o",
+      "Ind ependent",
+      "Ġdiagn oses",
+      "ĠC ue",
+      "M AR",
+      "Ġrend ition",
+      "ĠK ik",
+      "Ġpath ology",
+      "Ġselect s",
+      "Link edIn",
+      "Ġass ay",
+      "ĠD res",
+      "Ġtext ual",
+      "post ed",
+      "IT AL",
+      "ĠM aul",
+      "N eal",
+      "Ġinter connected",
+      "Ġerr atic",
+      "ĠVir us",
+      "Ġ5 30",
+      "Ġenvironmental ists",
+      "ĠP helps",
+      "Ġeng agements",
+      "ĠIN ST",
+      "Ġeconom ical",
+      "nox ious",
+      "Ġg earing",
+      "izz y",
+      "Ġfavor ably",
+      "ĠMcG ill",
+      "T erm",
+      "Ġh anged",
+      "Ġball park",
+      "ĠRe yes",
+      "Ġbe ware",
+      "ĠP sal",
+      "ĠMass acre",
+      "q i",
+      "Ġin accessible",
+      "acly sm",
+      "Ġfr ay",
+      "ill ac",
+      "Ġbitter ly",
+      "ĠCert ification",
+      "Mich igan",
+      "Ġir respective",
+      "al ore",
+      "Em pty",
+      "Ġendorse ments",
+      "Ġund et",
+      "f g",
+      "equ ipped",
+      "Ġmerc iless",
+      "ĠC ust",
+      "Ġimm ature",
+      "Ġvou cher",
+      "ĠBlack well",
+      "Ñ ı",
+      "h awk",
+      "dis ciplinary",
+      "ile e",
+      "ĠMak oto",
+      "ĠD ude",
+      "ãĥĩ ãĤ£",
+      "Y ears",
+      "Ġin ver",
+      "Ġsh aman",
+      "ĠY ong",
+      "ip el",
+      "ell en",
+      "ĠCath y",
+      "br ids",
+      "Ġs arc",
+      "65 1",
+      "N ear",
+      "Ġground work",
+      "Ġam az",
+      "Ġ4 15",
+      "ĠHunting ton",
+      "hew s",
+      "ĠB ung",
+      "Ġarbit rarily",
+      "ĠW it",
+      "ĠAl berto",
+      "Ġdis qualified",
+      "best os",
+      "46 1",
+      "Ġp c",
+      "Ġ28 4",
+      "ro bat",
+      "Rob in",
+      "Ġh ugs",
+      "ĠTrans ition",
+      "ĠOcc asionally",
+      "Ġ3 26",
+      "ĠWh ilst",
+      "ĠLe y",
+      "Ġspaces hip",
+      "cs v",
+      "Ġun successfully",
+      "ĠA u",
+      "le ck",
+      "ĠWing ed",
+      "ĠGrizz lies",
+      ". �",
+      "Ġne arer",
+      "ĠSorce ress",
+      "ĠInd igo",
+      "El se",
+      "8 40",
+      "let es",
+      "Co ach",
+      "Ġup bringing",
+      "ĠK es",
+      "Ġseparat ist",
+      "Ġrac ists",
+      "Ġch ained",
+      "Ġabst inence",
+      "lear ning",
+      "Ġrein stated",
+      "Ġsymm etry",
+      "Ġremind ers",
+      "ĠChe vy",
+      "Ġm ont",
+      "Ġexempl ary",
+      "ĠT OR",
+      "Z X",
+      "Ġqual itative",
+      "ĠSt amp",
+      "ĠSav annah",
+      "ĠRoss i",
+      "Ġp aed",
+      "Ġdispens aries",
+      "ĠWall s",
+      "ĠCh ronic",
+      "Ġcompliment ary",
+      "ĠBeir ut",
+      "Ġ+ ---",
+      "igs list",
+      "Ġcrypt ographic",
+      "mas ters",
+      "ĠCap itals",
+      "Ġmax imal",
+      "Ġent ropy",
+      "Point s",
+      "Ġcombat ants",
+      "l ip",
+      "ĠGl ob",
+      "ĠB MC",
+      "ph ase",
+      "th ank",
+      "HT TP",
+      "Ġcomm uter",
+      "Ġ\\( \\",
+      ".. /",
+      "ĠReg ener",
+      "ĠDO I",
+      "ĠActiv ision",
+      "Ġsl it",
+      "os al",
+      "RE M",
+      "Ġch ants",
+      "Y u",
+      "Ke ys",
+      "Bre xit",
+      "ĠFor ced",
+      "Ari zona",
+      "Ġsquad ron",
+      "IS O",
+      "ĠMal one",
+      "Ġ3 38",
+      "Ġcontrast ing",
+      "Ġt idal",
+      "Ġlib el",
+      "Ġimpl anted",
+      "Ġupro ar",
+      "ĠC ater",
+      "Ġpropos itions",
+      "M anchester",
+      "ĠEuro s",
+      "it amin",
+      "G il",
+      "ĠEl ven",
+      "ĠSe ek",
+      "ĠB ai",
+      "Ġredevelop ment",
+      "ĠTown s",
+      "ĠL ub",
+      "! \",",
+      "al on",
+      "K rist",
+      "Ġmeas urable",
+      "Ġimagin able",
+      "Ġapost les",
+      "Y N",
+      "7 60",
+      "Ġster oid",
+      "Ġspecific ity",
+      "ĠL ocated",
+      "ĠBeck er",
+      "ĠE du",
+      "ĠDiet ary",
+      "uts ch",
+      "ĠMar ilyn",
+      "Ġbl ister",
+      "ĠM EP",
+      "ĠK oz",
+      "ĠC MS",
+      "y ahoo",
+      "ĠCar ney",
+      "Ġbo asting",
+      "ĠC aleb",
+      "By te",
+      "read s",
+      "ad en",
+      "Pro blem",
+      "ĠWood ward",
+      "S we",
+      "S up",
+      "ĠK GB",
+      "Set up",
+      "Ġtac it",
+      "Ġret ribution",
+      "Ġd ues",
+      "ĠM ü",
+      ". ?",
+      "ä¸ Ń",
+      "p ots",
+      "Ġcame o",
+      "ĠP AL",
+      "educ ation",
+      "A my",
+      "like ly",
+      "g ling",
+      "Ġconstitution ally",
+      "ĠHam m",
+      "ĠSpe ak",
+      "Ġwid gets",
+      "br ate",
+      "Ġcra ppy",
+      "ĠI ter",
+      "Ġanticip ating",
+      "ĠB out",
+      "P ixel",
+      "ĠY ep",
+      "ĠLaur ie",
+      "Ġh ut",
+      "Ġbullet in",
+      "ĠSal vation",
+      "Ġch ats",
+      "ear able",
+      "Honest ly",
+      "AL TH",
+      "onse qu",
+      "c ult",
+      "isco very",
+      "ovy ch",
+      "Ġse lves",
+      "ĠSat oshi",
+      "S ounds",
+      "Ġconver gence",
+      "ĠRosen berg",
+      "19 74",
+      "Ġnas al",
+      "Ġfull est",
+      "Ġfer ocious",
+      "x us",
+      "ist e",
+      "AM S",
+      "Ġlobb ied",
+      "Ġso othing",
+      "ĠGun n",
+      "t oday",
+      "0 24",
+      "Ġinspir ational",
+      "ĠN BN",
+      "p b",
+      "g ewater",
+      "or ah",
+      "all owed",
+      "ĠCol iseum",
+      "Ġspecial izing",
+      "Ġinsane ly",
+      "ĠT ape",
+      "del ay",
+      "Ġt arn",
+      "ĠP ound",
+      "Ġmel anch",
+      "Ġdeploy ments",
+      "il and",
+      "Ġless en",
+      "Ġfur ry",
+      "ĠUE FA",
+      "Ġblood shed",
+      "ĠMe ier",
+      "ither ing",
+      "Ġhe irs",
+      "ĠJ aw",
+      "ax ter",
+      "ĠPublic ations",
+      "Ġal ters",
+      "int ention",
+      "ĠWinc hester",
+      "d etermination",
+      "ĠLif etime",
+      "th in",
+      "Mon ster",
+      "7 80",
+      "Ġapprox imation",
+      "Ġsuper markets",
+      "ĠSecond s",
+      "or os",
+      "h uge",
+      "Ġb ribe",
+      "ĠLIM ITED",
+      "un ed",
+      "Ġmis interpret",
+      "ĠIn jury",
+      "Ġ3 67",
+      "Ġthreshold s",
+      "ĠCarn ival",
+      "Ġgastro intestinal",
+      "Ġguid eline",
+      "Ġde ceived",
+      "f eatures",
+      "Ġpurported ly",
+      "ĠRon nie",
+      "ĠNew t",
+      "Ġsp acious",
+      "as us",
+      "Ġsuperhero es",
+      "ĠCyn thia",
+      "le gged",
+      "k amp",
+      "ch io",
+      "Ġth umbnail",
+      "ĠShir ley",
+      "ill ation",
+      "Ġshe ds",
+      "ĠZ y",
+      "E PA",
+      "Ġdam s",
+      "Ġy awn",
+      "n ah",
+      "ĠPe ggy",
+      "ĠE rie",
+      "ĠJu ventus",
+      "ĠF ountain",
+      "r x",
+      "don ald",
+      "al bum",
+      "ĠComp rehensive",
+      "Ġc aching",
+      "ĠU z",
+      "ulner ability",
+      "ĠPrinc iple",
+      "ĠJ ian",
+      "ing ers",
+      "cast s",
+      "ĠOs iris",
+      "ch art",
+      "t ile",
+      "ĠTiff any",
+      "ĠPatt on",
+      "ĠWh ip",
+      "Ġovers ized",
+      "J e",
+      "ĠCind erella",
+      "ĠB orders",
+      "ĠDa esh",
+      "M ah",
+      "Ġdog ma",
+      "Ġcommun ists",
+      "v u",
+      "Coun cil",
+      "Ġfresh water",
+      "Ġw ounding",
+      "Ġdeb acle",
+      "Ġyoung ster",
+      "Ġthread ed",
+      "ĠB ots",
+      "ĠSav ings",
+      "ãģ Ĥ",
+      "ol ing",
+      "oh o",
+      "Ġillum ination",
+      "M RI",
+      "Ġlo osen",
+      "tr ump",
+      "ag ency",
+      "ur ion",
+      "Ġmoment arily",
+      "ĠCh un",
+      "ĠBud apest",
+      "ĠAl ley",
+      "D isk",
+      "Ġaston ished",
+      "ĠCon quer",
+      "ĠAccount ing",
+      "h aving",
+      "ĠWe in",
+      "ĠAl right",
+      "Ġrev olver",
+      "Ġdel usion",
+      "Ġrelic s",
+      "Ġad herent",
+      "qu ant",
+      "Ġhand made",
+      "or io",
+      "Ġcomb ating",
+      "c oded",
+      "Ġquad ru",
+      "re th",
+      "N ik",
+      "ĠTrib al",
+      "ĠMyster ious",
+      "Ġin hal",
+      "ĠWin ning",
+      "ĠClass ification",
+      "ch anged",
+      "Ġun ab",
+      "Ġsc orn",
+      "icip ated",
+      "w l",
+      "ond uctor",
+      "Ġrein forcing",
+      "ĠChild hood",
+      "an ova",
+      "Ġadventure r",
+      "Ġdoctor al",
+      "ĠStrateg ies",
+      "Ġengulf ed",
+      "ĠEnc ounter",
+      "Ġl ashes",
+      "Crit ical",
+      "ric ular",
+      "ĠU TF",
+      "oci ation",
+      "check ing",
+      "ĠConsult ing",
+      "Run time",
+      "per iod",
+      "ĠAs gard",
+      "Ġdist illed",
+      "ĠPas adena",
+      "ĠD ying",
+      "ĠCOUN TY",
+      "Ġgran ite",
+      "Ġsm ack",
+      "Ġparach ute",
+      "ĠS UR",
+      "Virgin ia",
+      "ĠF urious",
+      "78 7",
+      "ĠO kin",
+      "Ġcam el",
+      "ĠM bps",
+      "19 72",
+      "ĠCh ao",
+      "ĠC yan",
+      "j oice",
+      "ef er",
+      "ĠW rap",
+      "ĠDeb ate",
+      "S eg",
+      "Ġfore arm",
+      "ĠIgn ore",
+      "Ġtim estamp",
+      "Ġprob ing",
+      "ĠNo on",
+      "ĠGra il",
+      "f en",
+      "Ġdorm ant",
+      "ĠFirst ly",
+      "ĠE ighth",
+      "ĠH UN",
+      "ĠDes ire",
+      "or as",
+      "Girl s",
+      "ĠDes mond",
+      "z ar",
+      "am ines",
+      "O AD",
+      "exec ute",
+      "Ġbo obs",
+      "ĠAT L",
+      "_ (",
+      "Chel sea",
+      "Ġmasturb ation",
+      "ĠCo C",
+      "Ġdestroy er",
+      "ĠCh omsky",
+      "Ġsc atter",
+      "ĠAss ets",
+      "79 6",
+      "ĠC argo",
+      "Ġrecept ive",
+      "ĠSc ope",
+      "Ġmarket ers",
+      "Ġlaun chers",
+      "Ġax le",
+      "ĠSE A",
+      "se q",
+      "ĠM off",
+      "f inding",
+      "ĠGib bs",
+      "Georg ia",
+      "extreme ly",
+      "N J",
+      "Ġlab orers",
+      "st als",
+      "Ġmed iation",
+      "ĠH edge",
+      "at own",
+      "Ġi od",
+      "des pite",
+      "v ill",
+      "J ane",
+      "ex istence",
+      "Ġcoinc ided",
+      "ĠUt ilities",
+      "ĠChe ap",
+      "Ġlog istical",
+      "Ġcul mination",
+      "ĠNic otine",
+      "p ak",
+      "F older",
+      "Ġrod ents",
+      "st uff",
+      "Ġlaw fully",
+      "Ġreper to",
+      "io ch",
+      "j j",
+      "Dial ogue",
+      "HH HH",
+      "lic tion",
+      "Look s",
+      "Ġ29 7",
+      "Ġtur rets",
+      "ĠAb andon",
+      "Ġinc ess",
+      "ĠTraff ord",
+      "Ġcur led",
+      "Ġprefer ring",
+      "Ġprivat ization",
+      "Ġir resist",
+      "ĠP anda",
+      "ĠSh ake",
+      "ĠMc Gr",
+      "ãĥ Ħ",
+      "und ers",
+      "Ġdiscrim inated",
+      "Ġbart ender",
+      "I LE",
+      "Atl antic",
+      "Ġprop ensity",
+      "ĠW iz",
+      "ĠG im",
+      "con ference",
+      "Ġrein forces",
+      "G h",
+      "w agon",
+      "Ġe erie",
+      "F al",
+      "Ġhug ged",
+      "rac ist",
+      "R IC",
+      "F u",
+      "Ġf iller",
+      "ĠSt ub",
+      "Ġeng raved",
+      "ĠWrest le",
+      "Ġimagin ative",
+      "ĠPe er",
+      "ĠFact ors",
+      "an us",
+      "ĠDrac ula",
+      "mon itor",
+      "Ġrou ters",
+      "ib ia",
+      "ĠBoo lean",
+      "end ale",
+      "ĠSl aughter",
+      "ĠSh ack",
+      "R FC",
+      "ĠSpiel berg",
+      "S ax",
+      "ĠPH OTO",
+      "ĠCl over",
+      "ĠR ae",
+      "Dep ending",
+      "ĠMem or",
+      "ar am",
+      "Ġpier ced",
+      "Ġcur tains",
+      "v ale",
+      "ĠInqu isition",
+      "ĠP oke",
+      "Ġforecast ing",
+      "Ġcompl ains",
+      "S ense",
+      "ĠHer mes",
+      "isc overed",
+      "Ġb ible",
+      "ĠMor ph",
+      "Ġg erm",
+      "78 5",
+      "D ON",
+      "Ġcon gen",
+      "Ġcr ane",
+      "ĠD PR",
+      "Ġrespect fully",
+      "R oom",
+      "ĠN aw",
+      "ĠDal ai",
+      "re ason",
+      "ĠAng us",
+      "Educ ation",
+      "ĠTitan ic",
+      "Ë ľ",
+      "Ġo val",
+      "un ited",
+      "Ġthird s",
+      "Ġmoist ur",
+      "ĠC PC",
+      "M iami",
+      "Ġtent acles",
+      "ĠPol aris",
+      "ex c",
+      "ex clusive",
+      "ĠPra irie",
+      "Ġcol ossal",
+      "ĠBl end",
+      "sur prisingly",
+      "ÃŃ s",
+      "Ġindo ctr",
+      "Ġbas al",
+      "ĠMP EG",
+      "und o",
+      "Spl it",
+      "Develop ment",
+      "Ġlan tern",
+      "19 71",
+      "Ġprov ocation",
+      "Ġang uish",
+      "ĠB ind",
+      "ĠLe ia",
+      "duc ers",
+      "ipp y",
+      "conserv ancy",
+      "Ġinitial ize",
+      "ĠTw ice",
+      "ĠSu k",
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+      "Ġdi ploma",
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+      "ĠSan ford",
+      "Ġus ability",
+      "Ġdiff use",
+      "ĠD ATA",
+      "Ġsp rites",
+      "ĠVeget a",
+      "ĠProm otion",
+      "ãĥ¼ ãĤ¯",
+      "rict ing",
+      "z ee",
+      "Tur kish",
+      "ĠTD s",
+      "pro ven",
+      "57 1",
+      "Ġsmug glers",
+      "707 10",
+      "Ġreform ed",
+      "ĠLo is",
+      "Ġun fl",
+      "ĠWITH OUT",
+      "ĠReturn ing",
+      "ann ie",
+      "ĠTom as",
+      "Fr anc",
+      "ĠProf it",
+      "ĠSER V",
+      "ĠR umble",
+      "ik uman",
+      "es an",
+      "Ġt esters",
+      "Ġgad get",
+      "Ġbrace let",
+      "ĠF SA",
+      "comp onent",
+      "Ġparamed ics",
+      "Ġj an",
+      "ĠRem em",
+      "ĠSk inner",
+      "Ġl ov",
+      "ĠQu ake",
+      "rom a",
+      "Ġfl ask",
+      "Pr inc",
+      "Ġover power",
+      "Ġlod ging",
+      "ĠK KK",
+      "ret te",
+      "Ġabsor bs",
+      "w rote",
+      "Ġ ,\"",
+      "K ings",
+      "ĠH ail",
+      "ĠFall ing",
+      "xt ap",
+      "ĠHel ena",
+      "ire ns",
+      "L arry",
+      "Ġpamph let",
+      "ĠC PR",
+      "G ro",
+      "ĠHirosh ima",
+      "Ġhol istic",
+      "\". [",
+      "Ġdet achment",
+      "Ġas pire",
+      "Ġcompl icit",
+      "ĠGreen wood",
+      "Ġresp awn",
+      "ĠSt upid",
+      "ĠFin ished",
+      "f al",
+      "b ass",
+      "Ġab hor",
+      "Ġmock ery",
+      "ĠFe ast",
+      "VID EO",
+      "Ġcon sec",
+      "ĠHung ry",
+      "P ull",
+      "ĠH ust",
+      "it ance",
+      "? ãĢį",
+      ") --",
+      "ĠPar allel",
+      "con v",
+      "4 69",
+      "ha ar",
+      "w ant",
+      "P aper",
+      "m ins",
+      "ĠTor o",
+      "ĠTR UMP",
+      "ĠR ai",
+      "D W",
+      "ĠW icked",
+      "ĠL ep",
+      "Ġfun ky",
+      "Ġdetrim ent",
+      "ios is",
+      "ache v",
+      "Ġde grade",
+      "im ilation",
+      "Ġret ard",
+      "Ġfrag mentation",
+      "Ġcow boy",
+      "ĠY PG",
+      "ĠH AL",
+      "Parent s",
+      "ĠS ieg",
+      "ĠStra uss",
+      "ĠRub ber",
+      "× IJ",
+      "Fr ag",
+      "Ġp t",
+      "Ġoption ally",
+      "ĠZ IP",
+      "ĠTrans cript",
+      "ĠD well",
+      "88 2",
+      "M erc",
+      "ĠM OT",
+      "ãĥ¯ ãĥ³",
+      "Ġhun ts",
+      "Ġexec utes",
+      "In cludes",
+      "Ġacid ic",
+      "ĠRespons ibility",
+      "ĠD umb",
+      "we i",
+      "And erson",
+      "ĠJas per",
+      "ight on",
+      "abs olutely",
+      "Ad ult",
+      "Ġpl under",
+      "Mor ning",
+      "ĠT ours",
+      "ĠD ane",
+      "Î º",
+      "ĠT EST",
+      "ĠG ina",
+      "Ġcan ine",
+      "aw an",
+      "Ġsocial ists",
+      "ĠS oda",
+      "Ġimp etus",
+      "ĠSupplement ary",
+      "oli ath",
+      "ĠKinn ikuman",
+      "mitted ly",
+      "second s",
+      "Ġorganis ers",
+      "Ġdocument aries",
+      "Vari able",
+      "GRE EN",
+      "Ġres orts",
+      "Ġbr agging",
+      "Ġ3 68",
+      "Art ist",
+      "w k",
+      "bl ers",
+      "Un common",
+      "ĠRet rieved",
+      "Ġhect ares",
+      "Ġtox in",
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+      "Ġfaith s",
+      "ĠG raphic",
+      "Ġve c",
+      "ĠL IA",
+      "Af rican",
+      "Ġard ent",
+      "end iary",
+      "L ake",
+      "ĠD OS",
+      "cient ious",
+      "ĠOk awaru",
+      "ĠAll y",
+      "ĠTim eline",
+      "D ash",
+      "ĠI c",
+      "contin ue",
+      "Ġt idy",
+      "Ġinstinct ively",
+      "ĠP ossibly",
+      "ĠOut door",
+      "ĠWould n",
+      "Ġl ich",
+      "ĠBr ay",
+      "ĠA X",
+      "ĠÃ ī",
+      "Ġ+ #",
+      "\\ '",
+      "Direct ory",
+      "ab iding",
+      "Ġf eral",
+      "ic ative",
+      "but t",
+      "Ġper verse",
+      "S alt",
+      "Ġwar ped",
+      "Ġnin eteen",
+      "Ġcabin ets",
+      "Ġsrf Attach",
+      "ĠSl oan",
+      "Ġpower ing",
+      "reg ation",
+      "F light",
+      "se vere",
+      "Ġst ren",
+      "Ġc og",
+      "ap ache",
+      "Ġâ Ŀ",
+      "Ġcaf eteria",
+      "p aces",
+      "ĠGrim oire",
+      "uton ium",
+      "Ġr aining",
+      "Ġcir cling",
+      "Ġlineback ers",
+      "c redit",
+      "Ġrep atri",
+      "ĠCam den",
+      "lic ense",
+      "Ġly ric",
+      "Ġdescript or",
+      "Ġval leys",
+      "Ġre q",
+      "Ġback stage",
+      "ĠPro hibition",
+      "ĠK et",
+      "Op ening",
+      "S ym",
+      "æĸ ¹",
+      "Ġserv ings",
+      "Ġoverse en",
+      "Ġaster oids",
+      "ĠMod s",
+      "ĠSpr inger",
+      "ĠCont ainer",
+      "è »",
+      "ĠM ens",
+      "Ġmult im",
+      "Ġfire fighter",
+      "pe c",
+      "Ġchlor ine",
+      "Ð ¼",
+      "end i",
+      "Ġsp aring",
+      "Ġpolyg amy",
+      "ĠR N",
+      "ĠP ell",
+      "Ġt igers",
+      "Ġflash y",
+      "ĠMad ame",
+      "S word",
+      "Ġpref rontal",
+      "Ġpre requisite",
+      "uc a",
+      "Ġw ifi",
+      "Ġmiscon ception",
+      "Ġharsh ly",
+      "ĠStream ing",
+      "ot om",
+      "ĠGiul iani",
+      "foot ed",
+      "Ġtub ing",
+      "ind ividual",
+      "z ek",
+      "n uclear",
+      "m ol",
+      "Ġright ful",
+      "49 3",
+      "Ġspecial ization",
+      "Ġpassion ately",
+      "ĠVel ocity",
+      "ĠAv ailability",
+      "T enn",
+      "Ġl atch",
+      "ĠSome body",
+      "Ġhel ium",
+      "cl aw",
+      "Ġdi pping",
+      "XX X",
+      "Ġinter personal",
+      "7 10",
+      "Ġsub ter",
+      "Ġbi ologists",
+      "ĠLight ing",
+      "Ġopt ic",
+      "Ġden im",
+      "end on",
+      "ĠC orm",
+      "Ġ3 41",
+      "ĠC oup",
+      "Ġfear less",
+      "Ġal ot",
+      "ĠCliff ord",
+      "ĠRun time",
+      "ĠProv ision",
+      "up dated",
+      "lene ck",
+      "Ġneur on",
+      "Ġgrad ing",
+      "ĠC t",
+      "sequ ence",
+      "in ia",
+      "con cept",
+      "Ġro aring",
+      "ri val",
+      "ĠCaucas ian",
+      "Ġmon og",
+      "key es",
+      "Ġappell ate",
+      "Ġlia ison",
+      "EStream Frame",
+      "ĠPl um",
+      "! .",
+      "Ġsp herical",
+      "Ġper ished",
+      "Ġbl ot",
+      "Ġben ches",
+      "Ġ4 11",
+      "Ġpione ered",
+      "Ġhur led",
+      "Jenn ifer",
+      "ĠYose mite",
+      "Ch air",
+      "Ġreef s",
+      "Ġelect or",
+      "ĠAnt hem",
+      "65 2",
+      "Ġun install",
+      "Ġimp ede",
+      "Ġbl inking",
+      "Ġgot o",
+      "Dec re",
+      "A ren",
+      "Ġstabil ization",
+      "ĠDis abled",
+      "ĠYanuk ovych",
+      "Ġoutlaw ed",
+      "ĠVent ura",
+      "ten ess",
+      "Ġplant ation",
+      "Ġy acht",
+      "ĠHu awei",
+      "Ġsol vent",
+      "Ġgr acious",
+      "Ġcur iously",
+      "Ġcapac itor",
+      "Ġc x",
+      "ĠRef lex",
+      "Ph ys",
+      "ĠC f",
+      "pt in",
+      "cons ervative",
+      "Ġinv ocation",
+      "c our",
+      "F N",
+      "ĠNew ly",
+      "H our",
+      "As ian",
+      "ĠLe ading",
+      "ĠAer ospace",
+      "An ne",
+      "Ġpre natal",
+      "Ġdeterior ating",
+      "H CR",
+      "ĠNorm andy",
+      "ol ini",
+      "ĠAm bro",
+      "9 10",
+      "Ġset backs",
+      "ĠT RE",
+      "Ġs ig",
+      "ĠSc ourge",
+      "59 7",
+      "79 8",
+      "Game play",
+      "Ġm sec",
+      "M X",
+      "Ġprice y",
+      "ĠL LP",
+      "aker u",
+      "Ġover arching",
+      "ĠB ale",
+      "Ġworld ly",
+      "Cl ark",
+      "Ġscen ic",
+      "Ġdisl iked",
+      "ĠCont rolled",
+      "T ickets",
+      "ĠE W",
+      "ab ies",
+      "ĠPl enty",
+      "Non etheless",
+      "Ġart isan",
+      "Trans fer",
+      "ĠF amous",
+      "Ġinf ield",
+      "ble y",
+      "Ġunres olved",
+      "ĠML A",
+      "ãĤ Ĥ",
+      "Cor rection",
+      "Ġdemocr at",
+      "ĠMore no",
+      "ro cal",
+      "il ings",
+      "Ġsail or",
+      "Ġr ife",
+      "h ung",
+      "Ġtrop es",
+      "Ġsn atched",
+      "ĠL IN",
+      "ĠB ib",
+      "ES A",
+      "ĠPre v",
+      "ĠCam el",
+      "run time",
+      "Ġob noxious",
+      "4 37",
+      "Ġsum mers",
+      "Ġunexpl ained",
+      "ĠWal ters",
+      "cal iber",
+      "Ġg ull",
+      "ĠEnd urance",
+      "ä½ ľ",
+      "Ġ3 47",
+      "Ir ish",
+      "Ġaer obic",
+      "Ġcr amped",
+      "ĠHon olulu",
+      "à ©",
+      "us erc",
+      "ec ast",
+      "AC Y",
+      "ĠQu ery",
+      "ãĤ¹ ãĥĪ",
+      "Bet a",
+      "Ġsuscept ibility",
+      "ĠSh iv",
+      "ĠLim baugh",
+      "ĠÃ ĸ",
+      "ĠN XT",
+      "ĠM uss",
+      "ĠBrit ons",
+      "ES CO",
+      "EG IN",
+      "Ġ% %",
+      "Ġsec ession",
+      "ĠPat ron",
+      "ĠLu a",
+      "n aires",
+      "ĠJPM organ",
+      "us b",
+      "ocy te",
+      "Ġcouncill ors",
+      "ĠLi ang",
+      "f arm",
+      "Ġnerv ously",
+      "Ġattract iveness",
+      "ĠK ov",
+      "j ump",
+      "Pl ot",
+      "Ġst ains",
+      "ĠStat ue",
+      "ĠApost les",
+      "he ter",
+      "ĠSUP PORT",
+      "Ġoverwhel m",
+      "Y ES",
+      "Ġ29 1",
+      "d ensity",
+      "Ġtra pping",
+      "M it",
+      "Ġf ide",
+      "ĠPam ela",
+      "atl antic",
+      "Dam n",
+      "Ġp ts",
+      "OP A",
+      "Ġserv icing",
+      "Ġoverfl owing",
+      "ul o",
+      "ĠE rit",
+      "t icket",
+      "light ing",
+      "ĠH mm",
+      "ãĥ¼ ãĥ«",
+      "im oto",
+      "Ġchuck le",
+      "4 23",
+      "ãģ ķ",
+      "sh ape",
+      "Ġque ues",
+      "Ġanch ors",
+      "ãĤ¼ ãĤ¦ãĤ¹",
+      "F er",
+      "Ġaw oke",
+      "Ġ6 66",
+      "h ands",
+      "Ġdiver gence",
+      "Ġ50 5",
+      "T ips",
+      "Ġdep ot",
+      "Ġske w",
+      "ĠDel iver",
+      "op ot",
+      "Ġdiv ul",
+      "ĠE B",
+      "uns igned",
+      "ĠUn i",
+      "X box",
+      "Ġfor ks",
+      "Ġ7 02",
+      "å ¯",
+      "Ġpromot ers",
+      "ĠV apor",
+      "Ġlev ied",
+      "sl ot",
+      "Ġpig ment",
+      "Ġcyl inders",
+      "C RE",
+      "Ġsn atch",
+      "Ġperpet ually",
+      "Ġl icking",
+      "ĠFe et",
+      "ĠKra ken",
+      "ĠHold en",
+      "ĠCLS ID",
+      "m r",
+      "Ġproject or",
+      "Ġden otes",
+      "Ġchap el",
+      "ĠTor rent",
+      "b ler",
+      "R oute",
+      "ĠDef endant",
+      "ĠPublisher s",
+      "ĠM ales",
+      "ĠInn ov",
+      "ĠAg ility",
+      "rit er",
+      "ty mology",
+      "st ores",
+      "L ind",
+      "Ġf olly",
+      "ĠZur ich",
+      "B le",
+      "Ġnurt ure",
+      "Ġcoast line",
+      "uch in",
+      "D omin",
+      "Ġfri vol",
+      "ĠCons olid",
+      "res ults",
+      "M J",
+      "Ġphyl ogen",
+      "Ġha uled",
+      "ĠW iley",
+      "ĠJess ie",
+      "ĠPrep are",
+      "ĠE ps",
+      "Ġtreasure r",
+      "I AS",
+      "Ġcolon ists",
+      "Ġin und",
+      "ĠWW F",
+      "ĠCon verted",
+      "6 000",
+      "out side",
+      "ĠApp earance",
+      "ĠRel ic",
+      "ĠM ister",
+      "s aw",
+      "Ġresult ant",
+      "Ġadject ive",
+      "ĠLaure l",
+      "ĠHind i",
+      "b da",
+      "Pe ace",
+      "Ġreb irth",
+      "Ġmembr anes",
+      "Ġforward ing",
+      "Ġcoll ided",
+      "ĠCar olyn",
+      "K ansas",
+      "5 99",
+      "ĠSolid GoldMagikarp",
+      "Be ck",
+      "Ġstress ing",
+      "ĠGo o",
+      "ĠCooper ative",
+      "Ġf s",
+      "ĠAr chie",
+      "L iter",
+      "ĠK lopp",
+      "J erry",
+      "Ġfoot wear",
+      "War ren",
+      "Ġsc ree",
+      "h are",
+      "Under standing",
+      "P ed",
+      "Ġanth ology",
+      "ĠAnn ounce",
+      "M ega",
+      "Ġflu ent",
+      "Ġbond age",
+      "ĠDisc ount",
+      "il ial",
+      "C art",
+      "ĠNight mares",
+      "Sh am",
+      "ĠB oll",
+      "uss ie",
+      "H ttp",
+      "Atl anta",
+      "Ġun recogn",
+      "ĠB id",
+      "Ġunder grad",
+      "Ġforg iving",
+      "ĠGl over",
+      "AAAA AAAA",
+      "4 45",
+      "V G",
+      "pa io",
+      "kill ers",
+      "Ġrespons ibly",
+      "Ġmobil ize",
+      "Ġeffect ed",
+      "ĠL umin",
+      "Ġk ale",
+      "Ġinfring ing",
+      "ann ounced",
+      "Ġf itt",
+      "b atch",
+      "ĠT ackle",
+      "ĠL ime",
+      "ĠAP P",
+      "uke mia",
+      "Ġrub y",
+      "Ġex oner",
+      "ĠCas ual",
+      "0 70",
+      "Ġpel vic",
+      "Ġautom ate",
+      "ĠK ear",
+      "ĠCoast al",
+      "Ġcre ed",
+      "Ġbored om",
+      "ĠSt un",
+      "ri ott",
+      "Ĥ İ",
+      "Ġregener ate",
+      "Ġcomed ians",
+      "ĠOP ER",
+      "Sp ons",
+      "id ium",
+      "on is",
+      "L ocated",
+      "05 7",
+      "Ġsusp ense",
+      "ĠD ating",
+      "C ass",
+      "Ġneoc ons",
+      "ĠShin zo",
+      "Ġaw oken",
+      "ch rist",
+      "ĠMess ages",
+      "att led",
+      "ĠSpr ay",
+      "ĠSp ice",
+      "C W",
+      "Ġshield ing",
+      "ĠG aul",
+      "Am id",
+      "Ġparam ilitary",
+      "Ġmult if",
+      "ĠTan ner",
+      "il k",
+      "Ġgodd amn",
+      "g ements",
+      "Ġbe friend",
+      "m obi",
+      "Ġ3 88",
+      "fold er",
+      "acc a",
+      "Ġins in",
+      "g ap",
+      "N ev",
+      "fif th",
+      "Ġpsychiat ry",
+      "b anks",
+      "TH IS",
+      "Ġhar b",
+      "ac qu",
+      "Ġfac ade",
+      "ĠPower Point",
+      "80 3",
+      "Ġbl uff",
+      "Sh ares",
+      "Ġfavor ing",
+      "El izabeth",
+      "Ãį Ãį",
+      "Ġr anger",
+      "77 2",
+      "ĠAr che",
+      "h ak",
+      "ĠGen etics",
+      "ĠF EMA",
+      "Ġev olves",
+      "Ġest e",
+      "ĠP ets",
+      "ĠM é",
+      "ĠInterest ing",
+      "ĠCanter bury",
+      "ch apter",
+      "ĠStar fleet",
+      "Sp anish",
+      "Ġdraw back",
+      "ĠNor wich",
+      "9 70",
+      "n orth",
+      "ag anda",
+      "Ġtransform ative",
+      "ram ids",
+      "bi ology",
+      "ad ay",
+      "Ġpropag ation",
+      "ĠGam ma",
+      "ĠDen ise",
+      "ĠCalcul ator",
+      "ent imes",
+      "ĠB ett",
+      "Ġapp endix",
+      "ĠHD D",
+      "AK ING",
+      "Ġst igmat",
+      "Ġhol ster",
+      "Ġord inarily",
+      "Ch ance",
+      "ĠCont rary",
+      "Ġad hesive",
+      "Ġgather s",
+      "6 12",
+      "re au",
+      "ony ms",
+      "ew ays",
+      "Ġindu ces",
+      "Ġinterchange able",
+      "se m",
+      "Wh it",
+      "Ġtr ance",
+      "Ġincorpor ation",
+      "ĠExt ras",
+      "Fin ancial",
+      "Ġawkward ly",
+      "ĠStur geon",
+      "ĠH Y",
+      "Norm ally",
+      "ĠEnd ing",
+      "ĠAss ist",
+      "enc rypted",
+      "Ġsub jug",
+      "Ġn os",
+      "Ġfan atic",
+      "C ub",
+      "C U",
+      "?\" .",
+      "Ġirre versible",
+      "å Ĥ",
+      "03 1",
+      "ĠH AR",
+      "sp read",
+      "ul ia",
+      "= $",
+      "Sc ope",
+      "L ots",
+      "Ġlif estyles",
+      "ol on",
+      "Ġf eds",
+      "Ġcongrat ulate",
+      "web kit",
+      "Ġindist inguishable",
+      "ĠSw ing",
+      "Ġcommand ments",
+      "qu ila",
+      "ab ella",
+      "m ethyl",
+      "ann abin",
+      "Ġo vere",
+      "Ġlob ster",
+      "ĠQU EST",
+      "ĠCONT IN",
+      "bern atorial",
+      ":::: ::::",
+      "ĠTra ve",
+      "ĠSam oa",
+      "AN I",
+      "75 2",
+      "Ð ´",
+      "userc ontent",
+      "ĠMod erate",
+      "y eah",
+      "ĠK itt",
+      "Ġwe e",
+      "Ġstuff ing",
+      "ĠInter vention",
+      "ĠD ign",
+      "Ġware houses",
+      "ĠF iji",
+      "Ġpel lets",
+      "Ġtake away",
+      "ĠT ABLE",
+      "ĠClass ical",
+      "col lection",
+      "Ġland fall",
+      "ĠMus cle",
+      "Ġsett les",
+      "ĠAD V",
+      "Ġ3 44",
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+      "Ġf ared",
+      "ĠPart ial",
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+      "oss ibility",
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+      "55 1",
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+      "ĠL ift",
+      "um o",
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+      "Ġunder cut",
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+      "ĠA ure",
+      "Ġacc user",
+      "Ġwas tes",
+      "ĠY s",
+      "ĠL ori",
+      "Ġconstitu encies",
+      "Ġsupp er",
+      "Ġmay hem",
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+      "h over",
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+      "ĠTs arnaev",
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+      "k illing",
+      "ĠW EEK",
+      "ĠH anna",
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+      "ĠMin ion",
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+      "ĠG EAR",
+      "Ġg ol",
+      "ĠHutch inson",
+      "ĠProf ession",
+      "ĠG UN",
+      "ĠDiff erence",
+      "ĠTsuk uyomi",
+      "ĠLes bian",
+      "6 70",
+      "Ġfug itive",
+      "ĠPlan etary",
+      "-------------------------------- ------------------------",
+      "Ġacc rued",
+      "Ġch icks",
+      "Ġsto pp",
+      "Ġblock ers",
+      "C od",
+      "Ġcomment ers",
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+      "the me",
+      "Ġmay oral",
+      "w u",
+      "Ġanten nas",
+      "Ġrev amped",
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+      "im ura",
+      "Ġentr ances",
+      "liter ally",
+      "Ġten ets",
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+      "ĠDon key",
+      "ĠOff ense",
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+      "ĠAF B",
+      "Ġan imate",
+      "ĠS od",
+      "His panic",
+      "Ġinconsist ency",
+      "D b",
+      "F Y",
+      "Ex port",
+      "Ġa pe",
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+      "ib el",
+      "ĠPAC s",
+      "Ġ{ \\",
+      "Ġact u",
+      "ĠHS BC",
+      "camp us",
+      "Ġpay off",
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+      "ou ple",
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+      "S uggest",
+      "Ġpled ging",
+      "ĠB erman",
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+      "Ġscal able",
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+      "Ġhair y",
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+      "ĠHob bit",
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+      "Ġfuel ing",
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+      "å İ",
+      "Ġm alls",
+      "Ġin ept",
+      "ĠWarrant y",
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+      "ĠSp ending",
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+      "ĠS iren",
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+      "ay ne",
+      "Ġv im",
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+      "T ang",
+      "ĠM FT",
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+      "w arning",
+      "56 2",
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+      "P oor",
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+      ": #",
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+      "Ġ3 99",
+      "ĠAR C",
+      "Ġhe inous",
+      "J ake",
+      "ĠAm ir",
+      "way ne",
+      "v re",
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+      "Ġnotebook s",
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+      "ixt ape",
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+      "Ġh orde",
+      "ĠD habi",
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+      "ĠK D",
+      "Ġcontag ious",
+      "ĠD ip",
+      "ĠAr rows",
+      "Ġpronoun s",
+      "Ġmorph ine",
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+      "Ġk osher",
+      "fin ished",
+      "ĠInstr uments",
+      "Ġf used",
+      "yd en",
+      "ĠSal mon",
+      "F ab",
+      "aff ected",
+      "K EN",
+      "C ENT",
+      "Dom ain",
+      "Ġpoke mon",
+      "ĠDr inking",
+      "G rowing",
+      "ĠInvestig ative",
+      "ĠA ether",
+      "em i",
+      "Ġtabl oid",
+      "Ġrep ro",
+      "ĠNot withstanding",
+      "ĠBers erker",
+      "Ġdram as",
+      "Ġclich é",
+      "Ġb ung",
+      "ĠU RI",
+      "ĠD os",
+      "0 44",
+      "Ġpast ors",
+      "Ġl s",
+      "Ġac rylic",
+      "aun ts",
+      "Ed ward",
+      "Ġmajor ities",
+      "B ang",
+      "Ġfield ing",
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+      "ĠAl chemy",
+      "pp ard",
+      "ĠRome o",
+      "ĠSan ct",
+      "ĠLav rov",
+      "ib ble",
+      "Inst ruct",
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+      "ĠPlay boy",
+      "ce phal",
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+      "Ġk an",
+      "ĠThe o",
+      "Ġillust rating",
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+      "ĠTrans gender",
+      "ĠG uth",
+      "UG H",
+      "Ġtriumph ant",
+      "Ġencomp ass",
+      "Ġbook mark",
+      "udd in",
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+      "ES H",
+      "Ġwhen ce",
+      "ĠAB E",
+      "Ġnon profits",
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+      "Ġdi abetic",
+      "Ġp end",
+      "Ġheart felt",
+      "sh i",
+      "Ġinter acts",
+      "ĠTele com",
+      "Ġbombard ment",
+      "dep ending",
+      "ĠLow ry",
+      "ĠAd mission",
+      "ĠBl ooming",
+      "ust ration",
+      "ene gger",
+      "B rew",
+      "Ġmol ten",
+      "ĠNer d",
+      "P IN",
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+      "ave ment",
+      "Ġtou red",
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+      "ans son",
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+      "fl ows",
+      "Ġpop ulous",
+      "ĠT inder",
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+      "R achel",
+      "Min imum",
+      "Ġcontest ant",
+      "ĠRed uce",
+      "ĠMor se",
+      "ĠGrass ley",
+      "ĠClick er",
+      "Ġexp r",
+      "Ġs incerity",
+      "Ġmar qu",
+      "Ġelic it",
+      "ĠPro position",
+      "ĠDemon ic",
+      "Ġtac os",
+      "G reek",
+      "Ġpost war",
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+      "ĠP ork",
+      "Ġ35 2",
+      "doctor al",
+      "walk ing",
+      "Ġmid term",
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+      "sight ed",
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+      "ic i",
+      "AL D",
+      "ĠUS L",
+      "ĠF ISA",
+      "ĠAm pl",
+      "ĠAlex andra",
+      "ine lli",
+      "Tr ain",
+      "Ġsign ify",
+      "ĠVers us",
+      "Ġob fusc",
+      "Ġk h",
+      "Ġagg ro",
+      "ĠRen ault",
+      "Ġ3 48",
+      "5 18",
+      "ox icity",
+      "0 22",
+      "ĠTw ist",
+      "Ġgoof y",
+      "D ynamic",
+      "Ġbrief ings",
+      "m ight",
+      "8 99",
+      "Ġderog atory",
+      "T ro",
+      "Ġfor ging",
+      "ĠKor an",
+      "ĠMar ried",
+      "ĠBuc s",
+      "Ġpal ate",
+      "ĠCon version",
+      "m able",
+      "4 13",
+      "Ġ( _",
+      "Ġs iph",
+      "ĠN EO",
+      "col lege",
+      "Ġmarg inally",
+      "Ġfl irt",
+      "ĠTra ps",
+      "ĠP ace",
+      "é »Ĵ",
+      "Ġgoalt ender",
+      "Ġforb ids",
+      "Ġcler ks",
+      "ĠT ant",
+      "ĠRobb ins",
+      "ĠPrint ing",
+      "Ġpremie red",
+      "Ġmagn ification",
+      "ĠT G",
+      "ĠR ouse",
+      "ĠM ock",
+      "odynam ics",
+      "Ġpre clude",
+      "ism o",
+      "ĠPul itzer",
+      "Ġaval anche",
+      "ĠK odi",
+      "rib une",
+      "ĠL ena",
+      "Elect ric",
+      "Ġref inery",
+      "Ġend owed",
+      "Ġcounsel ors",
+      "Ġd olphin",
+      "ĠM ith",
+      "Ġarm oured",
+      "hib ited",
+      "Beg in",
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+      "O il",
+      "ĠV or",
+      "ĠShar if",
+      "ĠFraz ier",
+      "est ate",
+      "Ġj ams",
+      "Pro xy",
+      "Ġband its",
+      "ĠPresbyter ian",
+      "ĠPrem iere",
+      "t iny",
+      "ĠCru el",
+      "Test ing",
+      "Ġhom er",
+      "ĠV ERS",
+      "ĠPro l",
+      "ĠDep osit",
+      "ĠCoff in",
+      "Ġsemin ars",
+      "Ġs ql",
+      "ĠDef endants",
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+      "ĠR ats",
+      "ç «",
+      "ethy st",
+      "' >",
+      "Ġiss uer",
+      "58 9",
+      "Ġch aired",
+      "ĠAccess ories",
+      "man ent",
+      "Ġmar row",
+      "ĠPrim ordial",
+      "C N",
+      "Ġlimit less",
+      "ĠCarn age",
+      "Ġund rafted",
+      "q v",
+      "IN ESS",
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+      "Ġco hesion",
+      "98 7",
+      "Ġne cks",
+      "Ġfootball er",
+      "ĠG ER",
+      "Ġdetect able",
+      "ĠSupport ing",
+      "ĠCS V",
+      "oc ally",
+      "k Hz",
+      "Ġund e",
+      "Ġsh one",
+      "Ġbud ding",
+      "tra k",
+      "Stand ing",
+      "ĠStar craft",
+      "ĠKem p",
+      "Ben ch",
+      "Ġthw arted",
+      "ĠGround s",
+      "ath i",
+      "L isa",
+      "Dial og",
+      "ĠS X",
+      "V ision",
+      "Ġingen ious",
+      "Ù IJ",
+      "Ġfost ering",
+      "ĠZ a",
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+      "Ġ\" @",
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+      "0 35",
+      "ĠF AC",
+      "H mm",
+      "55 4",
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+      "ĠV end",
+      "Ġsun screen",
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+      "rav iolet",
+      "ĠFunction al",
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+      "ed ar",
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+      "ĠSpect re",
+      "ĠRec ipes",
+      "88 5",
+      "ĠM ankind",
+      "L iverpool",
+      "Ġ| --",
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+      "w ired",
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+      "ĠH MS",
+      "aton in",
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+      "t oggle",
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+      "ĠF N",
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+      "Ġsleep s",
+      "ĠX er",
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+      "Ġset ups",
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+      "g ob",
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+      "ĠEm il",
+      "im ov",
+      "........ .....",
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+      "st ained",
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+      "cl ave",
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+      "Ġp ests",
+      "Ġsw at",
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+      "ĠD ek",
+      "Ġsur ging",
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+      "Ġ6 10",
+      "Ġdes ks",
+      "ĠSp okane",
+      "ĠAn field",
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+      "ĠMcK enzie",
+      "ĠFer dinand",
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+      "Af ee",
+      "Ġtyr ann",
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+      "ĠBo one",
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+      "ĠRe pt",
+      "Ċ Âł",
+      "Ġcar avan",
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+      "t ap",
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+      "Ġrevolution aries",
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+      "Ġreprint ed",
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+      "Ġ# ##",
+      "S ys",
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+      "ĠBom bs",
+      "Ġleg ions",
+      "Ġhand writing",
+      "Ġgr un",
+      "ĠC ah",
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+      "Ġm oth",
+      "ĠMS M",
+      "Ins ert",
+      "F if",
+      "Ġmot el",
+      "Ġdex ter",
+      "ĠB ild",
+      "hearted ly",
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+      "ĠText ure",
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+      "ĠVer a",
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+      "Ġbaff led",
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+      "Ġ ______",
+      "Ġentrepreneurs hip",
+      "ĠDirector ate",
+      "Ġ' [",
+      "Ġv ines",
+      "Ġasc ended",
+      "ĠGR OUP",
+      "ĠGood bye",
+      "Ġdo gged",
+      "ãĥ´ ãĤ¡",
+      "Man ufact",
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+      "ri ots",
+      "ier rez",
+      "Ġrel ativity",
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+      "c ookie",
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+      "ĠSc rib",
+      "ĠNe h",
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+      "Ġhandc uffs",
+      "Ġfruit ful",
+      "ĠU L",
+      "ĠLud wig",
+      "Ġatt est",
+      "ĠBre aker",
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+      "f w",
+      "ess en",
+      "Al ice",
+      "ĠHen ri",
+      "Ġun ilaterally",
+      "ĠS idd",
+      "h ai",
+      "ĠSt retch",
+      "S ales",
+      "Ġcumbers ome",
+      "ĠJ avier",
+      "Ġtrend y",
+      "Ġrot ting",
+      "ĠChall enges",
+      "Ġscra ps",
+      "Ġfac ets",
+      "ĠVer onica",
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+      "ĠS ana",
+      "Al ien",
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+      "ect ar",
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+      "AP S",
+      "ĠAg ing",
+      "Ġpadd ed",
+      "ĠZ heng",
+      "ĠHe ld",
+      "Ġest ranged",
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+      "und ai",
+      "Sh in",
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+      "FI ELD",
+      "ĠP OV",
+      "gr ay",
+      "Ġar cs",
+      "ĠH OT",
+      "Ġr s",
+      "Ġoblig atory",
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+      "ĠS ven",
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+      "0 200",
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+      "ĠAlban ia",
+      "rat om",
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+      "Ġhard ships",
+      "Ġaut os",
+      "ĠCharg es",
+      "Ġap es",
+      "Ġ3 76",
+      "wal let",
+      "Ġintox ication",
+      "Ġgobl in",
+      "Ġ5 70",
+      "++++++++ ++++++++",
+      "ĠYel p",
+      "ĠMag netic",
+      "ĠBr iggs",
+      "R ail",
+      "Ġspawn s",
+      "ĠW iggins",
+      "Ġshowc ased",
+      "Ġres orted",
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+      "ĠRib bon",
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+      "ĠD ates",
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+      "f am",
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+      "ĠH es",
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+      "ĠBrow se",
+      "ĠL APD",
+      "Ġconsequ ential",
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+      "Ġ........ ......",
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+      "Ġdesp ised",
+      "ĠB ugs",
+      "ĠB ST",
+      "S outhern",
+      "5 33",
+      "Ġhall mark",
+      "ĠPost er",
+      "Ġstem med",
+      "Ġprincip als",
+      "ĠT ECH",
+      "ĠSand wich",
+      "It aly",
+      "Ġche esy",
+      "ĠSet TextColor",
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+      "J O",
+      "apt op",
+      "Re ason",
+      "Lead er",
+      "ĠUnder stand",
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+      "Ġber th",
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+      "re act",
+      "Ġbuff alo",
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+      "Ġcl oves",
+      "ĠMcC ull",
+      "Stre ngth",
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+      "Ġill iter",
+      "ĠPric ing",
+      "l é",
+      "Ġresist or",
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+      "j it",
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+      "ĠK und",
+      "Ġins cribed",
+      "Ġfac ult",
+      "Ġunpre pared",
+      "ĠCons umers",
+      "Ġsatisf ies",
+      "Ġpul monary",
+      "Ġinf iltration",
+      "Ġex ternally",
+      "Ġcongrat ulations",
+      "ag han",
+      "Ġair liner",
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+      "Ġfly ers",
+      "G D",
+      "Ġsnipp ets",
+      "Ġrec ursive",
+      "Ġmaster ing",
+      "L ex",
+      "Ġovert ly",
+      "v g",
+      "Ġluck ily",
+      "Ġenc ro",
+      "ĠLanc et",
+      "ĠAbyss al",
+      "function al",
+      "Ġs ow",
+      "Ġsqu id",
+      "Ġnar ration",
+      "Ġn aughty",
+      "ĠHon our",
+      "ĠSpart ans",
+      "Ġsh atter",
+      "ĠTac oma",
+      "ĠCal ories",
+      "ĠR aces",
+      "Sub mit",
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+      "w av",
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+      "F est",
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+      "Ġshield ed",
+      "ĠPC R",
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+      "ĠWe ld",
+      "ĠSim pl",
+      "Ġredirect ed",
+      "ĠK ham",
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+      "Ġlab ou",
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+      "ss l",
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+      "C hest",
+      "Ġund one",
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+      "ul iffe",
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+      "ĠC K",
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+      "ĠC FL",
+      "t ions",
+      "r ums",
+      "fol ios",
+      "Ġm d",
+      "Ġunc anny",
+      "Ġtrans ports",
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+      "Ġrail ways",
+      "Ġappl iance",
+      "ĠCTR L",
+      "æ Ģ",
+      "Pop ulation",
+      "ĠConfeder acy",
+      "Ġunb earable",
+      "Ġdors al",
+      "ĠIn form",
+      "op ted",
+      "ĠK ILL",
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+      "ĠL och",
+      "Ġgu bernatorial",
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+      "Ġju xtap",
+      "Ġcho pping",
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+      "vari able",
+      "Ġher pes",
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+      "Ġtext ile",
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+      "ä¹ ĭ",
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+      "ere e",
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+      "ĠAd vantage",
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+      "Ġey ed",
+      "pm wiki",
+      "ĠE nder",
+      "Ġtrans lucent",
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+      "inter rupted",
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+      "C u",
+      "Ġwip es",
+      "spe ll",
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+      "Ġcur v",
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+      "Ġch ores",
+      "ĠEl ise",
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+      "b ub",
+      "Ġmamm alian",
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+      "Gener ic",
+      "Ġnarr ated",
+      "Ġdisorder ly",
+      "ĠTrans actions",
+      "ĠDet ention",
+      "ĠR oku",
+      "Ä į",
+      "Ġunder statement",
+      "ĠS aur",
+      "ĠRodrig o",
+      "ĠAS AP",
+      "S in",
+      "Ġre joice",
+      "Method s",
+      "Ġelectro de",
+      "Ġworsh ipped",
+      "Ġid i",
+      "ĠPhys icians",
+      "Ġpop up",
+      "Ġde ft",
+      "ĠRem oval",
+      "ĠBu enos",
+      "ver bs",
+      "Ġfun k",
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+      "ĠBang alore",
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+      "zz i",
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+      "Ġgobl ins",
+      "Ġcaf es",
+      "ĠUN CLASSIFIED",
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+      "S IGN",
+      "Ġs clerosis",
+      "ĠV oter",
+      "ĠSon ny",
+      "ĠExt end",
+      "ĠEV s",
+      "Ar senal",
+      "Ġp si",
+      "Ġwid est",
+      "ĠT us",
+      "Ġlo oms",
+      "Ġjust ifying",
+      "ĠGr anger",
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+      "some one",
+      "= #",
+      "67 1",
+      "Ġy ak",
+      "Ġar te",
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+      "ĠCl ancy",
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+      "ass ies",
+      "Ġval iant",
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+      "cor ruption",
+      "V el",
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+      "ĠUlt ron",
+      "ĠT inker",
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+      "ist ors",
+      "Ġtank er",
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+      "ĠT ik",
+      "ĠGreen wich",
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+      "ĠSP L",
+      "cell s",
+      "unt led",
+      "S olution",
+      "ĠQu é",
+      "Ġvac ated",
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+      "58 4",
+      "Ġrenov ated",
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+      "ĠConstantin ople",
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+      "A gg",
+      "ĠâĢ¦ \"",
+      "Ġsub reddits",
+      "Ġpige on",
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+      "Ġl um",
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+      "=-=-=-=- =-=-=-=-",
+      "ĠT ome",
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+      "phe us",
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+      "Ġ18 95",
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+      "Ġkind red",
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+      "ĠN K",
+      "Ġexp el",
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+      "Ġj argon",
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+      "ĠL oll",
+      "ä ¿",
+      "le thal",
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+      "Ġg hetto",
+      "Ġb oulder",
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+      "en eg",
+      "Ġre imb",
+      "ĠDet ected",
+      "Do S",
+      "Ġster ling",
+      "Ġaggreg ation",
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+      "hig her",
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+      "SE LECT",
+      "Ġdef lation",
+      "ĠHer rera",
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+      "rit ch",
+      "Ġadvis able",
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+      "Ġtyp o",
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+      "ĠJam al",
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+      "ĠPres ence",
+      "ĠLie berman",
+      "angel o",
+      "Ġalcohol ism",
+      "ass i",
+      "Ġrec ite",
+      "Ġgap ing",
+      "Ġbask ets",
+      "ĠG ou",
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+      "ne au",
+      "Ġcorrect ive",
+      "und a",
+      "sc oring",
+      "ĠX D",
+      "Ġfil ament",
+      "Ġdeep ening",
+      "ĠStain less",
+      "Int eger",
+      "Ġbu ggy",
+      "Ġten ancy",
+      "ĠMub arak",
+      "Ġt uple",
+      "ĠD roid",
+      "ĠS itting",
+      "Ġforfe it",
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+      "ixt ies",
+      "es i",
+      "ĠKim mel",
+      "Ġmetic ulously",
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+      "ĠS eller",
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+      "ec ake",
+      "hem atically",
+      "T N",
+      "Ġmind less",
+      "Ġdig s",
+      "ĠAcc ord",
+      "ons ense",
+      "em ing",
+      "br ace",
+      "Ġe Book",
+      "ĠDist ribut",
+      "ĠInvest ments",
+      "w t",
+      "] ),",
+      "beh avior",
+      "56 3",
+      "Ġbl inding",
+      "ĠPro testers",
+      "top ia",
+      "Ġreb orn",
+      "ĠKel vin",
+      "ĠDo ver",
+      "ĠD airy",
+      "ĠOut s",
+      "Ġ[ /",
+      "Ï Ģ",
+      "b p",
+      "ĠVan ity",
+      "ĠRec ap",
+      "ĠHOU SE",
+      "ĠF ACE",
+      "Ġ4 22",
+      "69 2",
+      "ĠAnt ioch",
+      "cook ed",
+      "Ġcoll ide",
+      "Ġa pr",
+      "Ġsle eper",
+      "ĠJar vis",
+      "Ġalternative ly",
+      "ĠLe aves",
+      "ĠM aw",
+      "Ġantiqu ity",
+      "ĠAdin ida",
+      "Ġab user",
+      "Poké mon",
+      "Ġass orted",
+      "ĠRev ision",
+      "ĠP iano",
+      "ĠG ideon",
+      "O cean",
+      "Ġsal on",
+      "Ġbust ling",
+      "ogn itive",
+      "ĠRah man",
+      "Ġwa iter",
+      "Ġpres ets",
+      "ĠO sh",
+      "ĠG HC",
+      "oper ator",
+      "Ġrept iles",
+      "Ġ4 13",
+      "ĠG arr",
+      "ĠCh ak",
+      "Ġhas hes",
+      "Ġfail ings",
+      "Ġfolk lore",
+      "Ġab l",
+      "ĠC ena",
+      "ĠMac Arthur",
+      "ĠCOUR T",
+      "Ġperipher y",
+      "app ers",
+      "Ġreck oned",
+      "ĠInf lu",
+      "ĠC ET",
+      "Ġ3 72",
+      "ĠDefin itive",
+      "ass ault",
+      "4 21",
+      "Ġreservoir s",
+      "Ġd ives",
+      "ĠCo il",
+      "DA Q",
+      "Ġvivid ly",
+      "ĠR J",
+      "ĠBel lev",
+      "Ġec lectic",
+      "ĠShow down",
+      "ĠK M",
+      "ip ed",
+      "reet ings",
+      "ĠAs uka",
+      "L iberal",
+      "ĠÏ Ħ",
+      "Ġbystand ers",
+      "ĠGood win",
+      "uk ong",
+      "S it",
+      "ĠT rem",
+      "Ġcrim inally",
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+      "ch rome",
+      "88 7",
+      "Ġnan op",
+      "ĠOb i",
+      "ĠL OW",
+      "o gh",
+      "ĠAuth ors",
+      "ob yl",
+      "Ur ban",
+      "Ġt i",
+      "ĠWe ir",
+      "t rap",
+      "ag y",
+      "Ġparent heses",
+      "Ġout numbered",
+      "Ġcounter productive",
+      "ĠTob ias",
+      "ub is",
+      "P arser",
+      "ST AR",
+      "Ġsyn aptic",
+      "ĠG ears",
+      "Ġh iber",
+      "Ġdebunk ed",
+      "Ġex alted",
+      "aw atts",
+      "H OU",
+      "Ch urch",
+      "ĠPix ie",
+      "ĠU ri",
+      "ĠForm ation",
+      "ĠPred iction",
+      "C EO",
+      "Ġthro tt",
+      "ĠBrit ann",
+      "ĠMad agascar",
+      "ë ĭ",
+      "Ġbill boards",
+      "ĠRPG s",
+      "ĠBe es",
+      "complete ly",
+      "F IL",
+      "Ġdoes nt",
+      "ĠGreen berg",
+      "re ys",
+      "Ġsl ing",
+      "Ġempt ied",
+      "ĠPix ar",
+      "ĠDh arma",
+      "l uck",
+      "ingu ished",
+      "Ġend ot",
+      "Ġbab ys",
+      "05 9",
+      "che st",
+      "r ats",
+      "Ġr idden",
+      "Ġbeet les",
+      "Ġillum inating",
+      "Ġfict itious",
+      "ĠProv incial",
+      "Ġ7 68",
+      "Ġshe pherd",
+      "ĠR ender",
+      "Ġ18 96",
+      "C rew",
+      "Ġmold ed",
+      "ĠXia omi",
+      "ĠSp iral",
+      "Ġdel im",
+      "Ġorgan ising",
+      "Ġho ops",
+      "ĠBe i",
+      "z hen",
+      "Ġfuck in",
+      "Ġdec ad",
+      "Ġun biased",
+      "am my",
+      "sw ing",
+      "Ġsmugg led",
+      "Ġk ios",
+      "ĠP ERSON",
+      "ĠInquis itor",
+      "Ġsnow y",
+      "Ġscrap ing",
+      "ĠBurg ess",
+      "P tr",
+      "ag ame",
+      "R W",
+      "Ġdro id",
+      "ĠL ys",
+      "ĠCass andra",
+      "Jac ob",
+      "Ġ35 4",
+      "Ġpast ure",
+      "Ġfr anc",
+      "ĠScot ch",
+      "ĠEnd s",
+      "ĠI GF",
+      "def inition",
+      "Ġhyster ical",
+      "ĠBrown e",
+      "77 1",
+      "Ġmobil ization",
+      "æ ķ",
+      "iqu eness",
+      "Th or",
+      "Ġspear headed",
+      "Ġembro iled",
+      "Ġconject ure",
+      "jud icial",
+      "Ch oice",
+      "Ġpaper back",
+      "P ir",
+      "Ġrec overs",
+      "ĠSur ge",
+      "ĠSh ogun",
+      "ĠPed iatrics",
+      "ãģ ł",
+      "Ġsweep s",
+      "ĠLabor atories",
+      "ĠP acks",
+      "al us",
+      "add in",
+      "Ġhead lights",
+      "g ra",
+      "Ev idence",
+      "COL OR",
+      "Ad min",
+      "Ĭ ±",
+      "Ġconco ct",
+      "s ufficient",
+      "Ġun marked",
+      "Ġrich ness",
+      "Ġdiss ertation",
+      "Ġseason ing",
+      "Ġg ib",
+      "ĠM ages",
+      "un ctions",
+      "ĠN id",
+      "che at",
+      "ĠTM Z",
+      "c itizens",
+      "ĠCatholic ism",
+      "n b",
+      "Ġdisemb ark",
+      "ĠPROG RAM",
+      "a ques",
+      "Ty ler",
+      "Or g",
+      "ĠSl ay",
+      "ĠN ero",
+      "ĠTown send",
+      "IN TON",
+      "te le",
+      "Ġmes mer",
+      "9 01",
+      "Ġfire ball",
+      "ev idence",
+      "aff iliated",
+      "ĠFrench man",
+      "ĠAugust a",
+      "0 21",
+      "Ġs led",
+      "Ġre used",
+      "ĠImmun ity",
+      "Ġwrest le",
+      "assemb led",
+      "Mar ia",
+      "Ġgun shots",
+      "ĠBarb ie",
+      "Ġcannabin oids",
+      "ĠTo ast",
+      "ĠK inder",
+      "IR D",
+      "Ġre juven",
+      "Ġg ore",
+      "Ġrupt ure",
+      "Ġbre aching",
+      "ĠCart oon",
+      "Ġ4 55",
+      "ĠPale o",
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+      "Ġspe ars",
+      "ĠAm es",
+      "ab us",
+      "Mad ison",
+      "GR OUP",
+      "Ġab orted",
+      "y ah",
+      "Ġfel on",
+      "Ġcaus ation",
+      "Ġprep aid",
+      "Ġp itted",
+      "op lan",
+      "ĠShel ley",
+      "ĠRus so",
+      "ĠP agan",
+      "Ġwill fully",
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+      "ĠSal ary",
+      "ĠAr paio",
+      "read er",
+      "ĠR ational",
+      "ĠOver se",
+      "ĠCa uses",
+      "Ġ* .",
+      "Ġw ob",
+      "Ke ith",
+      "ĠCons ent",
+      "man ac",
+      "77 3",
+      "6 23",
+      "Ġfate ful",
+      "et imes",
+      "Ġspir ited",
+      "ĠD ys",
+      "Ġhe gemony",
+      "Ġboy cot",
+      "ĠEn rique",
+      "em outh",
+      "Ġtim elines",
+      "ĠSah ara",
+      "ĠRel ax",
+      "ĠQuin cy",
+      "ĠLess ons",
+      "ĠE QU",
+      "SE A",
+      "N K",
+      "ĠCost co",
+      "Incre ase",
+      "Ġmotiv ating",
+      "ĠCh ong",
+      "am aru",
+      "ĠDiv ide",
+      "Ġped igree",
+      "ĠTasman ia",
+      "ĠPrel ude",
+      "L as",
+      "9 40",
+      "57 4",
+      "Ġch au",
+      "ĠSp iegel",
+      "un ic",
+      "-- >",
+      "ĠPhil ips",
+      "ĠKaf ka",
+      "Ġuphe aval",
+      "Ġsent imental",
+      "Ġsa x",
+      "ĠAk ira",
+      "ser ial",
+      "Mat rix",
+      "Ġelect ing",
+      "Ġcomment er",
+      "ĠNeb ula",
+      "ple ts",
+      "ĠNad u",
+      "ĠAd ren",
+      "Ġen shr",
+      "ĠR AND",
+      "fin ancial",
+      "ĠCly de",
+      "uther ford",
+      "Ġsign age",
+      "Ġde line",
+      "Ġphosph ate",
+      "rovers ial",
+      "f ascist",
+      "ĠV all",
+      "ĠBeth lehem",
+      "Ġfor s",
+      "Ġeng lish",
+      "S olid",
+      "N ature",
+      "Ġv a",
+      "ĠGu ests",
+      "Ġtant al",
+      "Ġauto immune",
+      ";;;;;;;; ;;;;",
+      "ĠTot ally",
+      "ĠO v",
+      "Ġdef ences",
+      "ĠCoc onut",
+      "Ġtranqu il",
+      "Ġpl oy",
+      "Ġflav ours",
+      "ĠFl ask",
+      "ãĤ¨ ãĥ«",
+      "ĠWest on",
+      "ĠVol vo",
+      "8 70",
+      "Ġmicro phones",
+      "ver bal",
+      "R PG",
+      "Ġi ii",
+      "; }",
+      "0 28",
+      "Ġhead lined",
+      "Ġprim ed",
+      "Ġho ard",
+      "ĠSh ad",
+      "ĠEN TER",
+      "Ġtri angular",
+      "Ġcap it",
+      "l ik",
+      "ĠAn cients",
+      "Ġl ash",
+      "Ġconv ol",
+      "Ġcolon el",
+      "en emy",
+      "G ra",
+      "Ġpub s",
+      "ut ters",
+      "Ġassign s",
+      "ĠPen et",
+      "ĠMon strous",
+      "ĠBow en",
+      "il ver",
+      "H aunted",
+      "ĠD ing",
+      "start ed",
+      "pl in",
+      "Ġcontamin ants",
+      "ĠDO E",
+      "ff en",
+      "ĠTechn ician",
+      "R y",
+      "Ġrob bers",
+      "Ġhot line",
+      "ĠGuard iola",
+      "ĠKau fman",
+      "row er",
+      "ĠDres den",
+      "ĠAl pine",
+      "E lf",
+      "Ġf mt",
+      "ĠS ard",
+      "urs es",
+      "g pu",
+      "Un ix",
+      "Ġunequiv ocally",
+      "ĠCitizens hip",
+      "qu ad",
+      "m ire",
+      "ĠS weeney",
+      "B attery",
+      "6 15",
+      "Ġpanc akes",
+      "Ġo ats",
+      "M aps",
+      "ĠCont rast",
+      "mbuds man",
+      "ĠE PS",
+      "Ġsub committee",
+      "Ġsour cing",
+      "Ġs izing",
+      "ĠBuff er",
+      "ĠMand atory",
+      "Ġmoder ates",
+      "ĠPattern s",
+      "ĠCh ocobo",
+      "ĠZ an",
+      "ĠSTAT ES",
+      "ĠJud ging",
+      "ĠIn her",
+      "* :",
+      "Ġb il",
+      "ĠY en",
+      "Ġexh ilar",
+      "oll ower",
+      "z ers",
+      "Ġsn ug",
+      "max imum",
+      "Ġdesp icable",
+      "ĠP ACK",
+      "ĠAn nex",
+      "Ġsarcast ic",
+      "Ġlate x",
+      "Ġt amp",
+      "ĠS ao",
+      "b ah",
+      "ĠRe verend",
+      "ĠChin atown",
+      "ĠA UT",
+      "d ocumented",
+      "ĠGA BA",
+      "ĠCan aan",
+      "ĠÙ ħ",
+      "Ġgovern s",
+      "pre v",
+      "E sc",
+      "ĠEst imates",
+      "OS P",
+      "Ġendeav our",
+      "ĠCl osing",
+      "omet ime",
+      "every one",
+      "Ġwor sen",
+      "Ġsc anners",
+      "Ġdev iations",
+      "ĠRobot ics",
+      "ĠCom pton",
+      "Ġsorce rer",
+      "Ġend ogenous",
+      "Ġem ulation",
+      "ĠPier cing",
+      "ĠA ph",
+      "ĠS ocket",
+      "Ġb ould",
+      "ĠO U",
+      "ĠBorder lands",
+      "Ġ18 63",
+      "G ordon",
+      "ĠW TO",
+      "Ġrestrict s",
+      "Ġmosa ic",
+      "Ġmel odies",
+      "ç Ħ",
+      "T ar",
+      "Ġdis son",
+      "ĠProv ides",
+      "Ġ ......",
+      "b ek",
+      "F IX",
+      "Ġbro om",
+      "ans hip",
+      "Do ctors",
+      "Ġner ds",
+      "ĠReg ions",
+      "na issance",
+      "Ġmet e",
+      "Ġcre pt",
+      "pl ings",
+      "Ġgirlfriend s",
+      "kn it",
+      "ig ent",
+      "ow e",
+      "Ġus hered",
+      "ĠB az",
+      "M obil",
+      "4 34",
+      "ĠPres ents",
+      "orig in",
+      "Ġins omnia",
+      "ĠA ux",
+      "4 39",
+      "ĠCh ili",
+      "irs ch",
+      "G AME",
+      "Ġgest ation",
+      "alg ia",
+      "rom ising",
+      "$ ,",
+      "c row",
+      "ĠIn spection",
+      "at omic",
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+      "J OHN",
+      "rom an",
+      "ĠClock work",
+      "ĠBak r",
+      "m one",
+      "M ET",
+      "Ġthirst y",
+      "Ġb c",
+      "Ġfacult ies",
+      "R um",
+      "Ġnu ance",
+      "ĠD arius",
+      "ple ting",
+      "fter s",
+      "etch up",
+      "Reg istration",
+      "ĠK E",
+      "R ah",
+      "Ġpref erential",
+      "ĠL ash",
+      "ĠH H",
+      "Val id",
+      "ĠN AV",
+      "Ġstar ve",
+      "ĠG ong",
+      "z ynski",
+      "ĠAct ress",
+      "Ġw ik",
+      "Ġun accompanied",
+      "lv l",
+      "Br ide",
+      "AD S",
+      "ĠCommand o",
+      "ĠVaugh n",
+      "Wal let",
+      "Ġho pping",
+      "ĠV ie",
+      "Ġcave ats",
+      "Ġal as",
+      "if led",
+      "ab use",
+      "66 1",
+      "Ġib n",
+      "Ġg ul",
+      "Ġrob bing",
+      "t il",
+      "IL A",
+      "Ġmit igating",
+      "Ġapt ly",
+      "Ġty rant",
+      "Ġmid day",
+      "ĠGil more",
+      "ĠDe cker",
+      "Ġ§ §",
+      "part ial",
+      "Ex actly",
+      "Ġphen otype",
+      "Ġ[+ ]",
+      "ĠP lex",
+      "ĠI ps",
+      "vers ions",
+      "Ġe book",
+      "Ġch ic",
+      "g ross",
+      "\":\" \"},{\"",
+      "ĠSur prisingly",
+      "M organ",
+      "Ġresid ues",
+      "ĠConf ederation",
+      "in feld",
+      "Ġl yr",
+      "mod erate",
+      "Ġperpend icular",
+      "V K",
+      "Ġsynchron ized",
+      "Ġrefres hed",
+      "Ġad ore",
+      "ĠTor ment",
+      "ol ina",
+      "Ġ26 00",
+      "Item Tracker",
+      "Ġp ies",
+      "ĠF AT",
+      "ĠR HP",
+      "0 48",
+      "ĠRES P",
+      "ĠB J",
+      "all ows",
+      "P and",
+      "Ġunw elcome",
+      "ĠV oc",
+      "ĠBast ard",
+      "ĠO W",
+      "ĠL AR",
+      "ĠHeal er",
+      "Environment al",
+      "ĠKen yan",
+      "ĠTr ance",
+      "ĠP ats",
+      "Ġali ases",
+      "ĠGar field",
+      "Ġcampaign er",
+      "Ġadvance ments",
+      "ĠOkin awa",
+      "ĠC oh",
+      "ows ky",
+      "Ġstar ved",
+      "Ġsize able",
+      "Ġ: -)",
+      "Ġm RNA",
+      "Ġsusp ensions",
+      "ist ar",
+      "Scot land",
+      "Pr in",
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+      "Ġ50 2",
+      "Ġteasp oons",
+      "Ġ10 50",
+      "Ġcoerc ive",
+      "ĠMason ic",
+      "edd ed",
+      "ĠPass enger",
+      "Ġl att",
+      "Ġbr aces",
+      "ĠSt eal",
+      "ĠNY T",
+      "ĠK ats",
+      "ĠCel est",
+      "ae z",
+      "T u",
+      "ĠCoul ter",
+      "ðŁ ĺ",
+      "Fl ickr",
+      "ĠWil mington",
+      "ith s",
+      "++ ;",
+      "Ġv ending",
+      "Ġneg ro",
+      "ĠPh i",
+      "ĠYellow stone",
+      "Call back",
+      "Ġsh ampoo",
+      "ĠSh ades",
+      "w at",
+      "Ġsuper human",
+      "Ġridic uled",
+      "Ġhol iest",
+      "om bo",
+      "Ġintern s",
+      "Ġh one",
+      "ĠPar agu",
+      "UR I",
+      "Ġd angling",
+      "ãĤ »",
+      "so v",
+      "ict ional",
+      "av ailability",
+      "Ġrev ocation",
+      "Ġd ow",
+      "in ic",
+      "ĠTHE IR",
+      "Ġis o",
+      "Ġout ings",
+      "ĠLeth al",
+      "Ġ) ))",
+      "Ġinacc ur",
+      "Ġout landish",
+      "Ġan us",
+      "let ico",
+      "id on",
+      "l ol",
+      "Ġun regulated",
+      "Ġsuccumb ed",
+      "Ġc uff",
+      "ĠWast eland",
+      "let al",
+      "Ġsub str",
+      "Ġcoff ers",
+      "Ġautom akers",
+      "ov i",
+      "ĠX ue",
+      "ĠDayton a",
+      "Ġjar ring",
+      "Ġf umes",
+      "Ġdisband ed",
+      "z ik",
+      "itt on",
+      "Ġstriking ly",
+      "Ġsp ores",
+      "Ad apter",
+      ".) :",
+      "ĠLynd on",
+      "ival ry",
+      "Ġor ally",
+      "Ġtumult uous",
+      "Ġdisple asure",
+      "Ġcon es",
+      "or rect",
+      "Ġappe ase",
+      "Ġder by",
+      "ĠTrip oli",
+      "ĠAl ess",
+      "Ġp oked",
+      "ĠGu ilty",
+      "v P",
+      "En ough",
+      "Ġorig inals",
+      "6 99",
+      "Ġrabb i",
+      "Ġproverb ial",
+      "Ġpostp one",
+      "el ope",
+      "ĠMist y",
+      "Ġstaff ed",
+      "ĠUn employment",
+      "redit ary",
+      "Ġdilig ent",
+      "re comm",
+      "me asures",
+      "as in",
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+      "Ġpond s",
+      "Ġmm ol",
+      "ĠS AR",
+      "ĠC ARE",
+      "Ġ3 71",
+      "Ġclen ched",
+      "ĠCors air",
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+      "z n",
+      "att ach",
+      "ĠSch ro",
+      "spe ak",
+      "p ainted",
+      "ĠS uc",
+      "ĠE NT",
+      "Ġcell ul",
+      "ĠP aid",
+      "di agn",
+      "WH ERE",
+      "Ġtext ed",
+      "B arn",
+      "Ġret racted",
+      "ĠRe ferred",
+      "S av",
+      "Ġup keep",
+      "Ġwork places",
+      "ĠTok ens",
+      "Ġampl ify",
+      "cl inical",
+      "Ġmult ic",
+      "mber g",
+      "Ġconvol uted",
+      "Reg ion",
+      "5 65",
+      "ĠTop ic",
+      "Ġsn ail",
+      "Ġsal ine",
+      "Ġins urrection",
+      "ĠPet r",
+      "f orts",
+      "B AT",
+      "ĠNav ajo",
+      "Ġrud imentary",
+      "ĠLak sh",
+      "OND ON",
+      "Me asure",
+      "Ġtransform er",
+      "ĠGodd ard",
+      "Ġcoinc ides",
+      "ir in",
+      "R ex",
+      "ĠB ok",
+      "qu it",
+      "Ġshotgun s",
+      "Ġprolet arian",
+      "Ġsc orp",
+      "ĠAd a",
+      "5 14",
+      "Ġsl ander",
+      "record ed",
+      "Ġemb ell",
+      "ris ome",
+      "Ġapolog izing",
+      "ĠMul cair",
+      "ĠGib raltar",
+      "Cl a",
+      "Ġall ot",
+      "ĠAtt ention",
+      "Ġ4 33",
+      "le ave",
+      "Ġwh ine",
+      "ĠIss a",
+      "ĠFa ust",
+      "ĠBar ron",
+      "hen y",
+      "Ġvictim ized",
+      "J ews",
+      "Ġnurt uring",
+      "ett el",
+      "W inged",
+      "ĠSub tle",
+      "Ġflavor ful",
+      "ĠRep s",
+      "eng ed",
+      "call back",
+      "Ġdirection al",
+      "Ġcl asp",
+      "ĠDirect ions",
+      "plan et",
+      "icult ure",
+      "Hel per",
+      "ic ion",
+      "ac ia",
+      "Ġç ¥ŀ",
+      "Ġsur ges",
+      "Ġcan oe",
+      "ĠPrem iership",
+      "be en",
+      "Ġdef ied",
+      "ĠTro oper",
+      "Ġtrip od",
+      "Ġgas p",
+      "ĠE uph",
+      "ĠAd s",
+      "vern ight",
+      "high ly",
+      "R ole",
+      "Ġent angled",
+      "ĠZe it",
+      "6 18",
+      "ĠRust y",
+      "Ġhaven s",
+      "ĠVaugh an",
+      "HA EL",
+      "ĠSER VICE",
+      "/ ,",
+      "Ġstr icken",
+      "Ġdel usions",
+      "Ġb is",
+      "ĠH af",
+      "Ġgrat ification",
+      "Ġent icing",
+      "UN CH",
+      "Ad ams",
+      "ĠOL ED",
+      "ĠBeet le",
+      "Ġ18 99",
+      "ĠSO FTWARE",
+      "ateg or",
+      "V L",
+      "ĠTot em",
+      "ĠG ators",
+      "AT URES",
+      "Ġimped ance",
+      "Reg istered",
+      "ĠC ary",
+      "ĠAer ial",
+      "on ne",
+      "en ium",
+      "Ġd red",
+      "ĠBe g",
+      "Ġconcurrent ly",
+      "Ġsuper power",
+      "ĠX an",
+      "j ew",
+      "imes ter",
+      "ĠDick inson",
+      "âĶ ģ",
+      "F la",
+      "Ġp ree",
+      "ĠRoll ins",
+      "© ¶æ",
+      "Ġden omination",
+      "ĠL ana",
+      "5 16",
+      "Ġinc iting",
+      "sc ribed",
+      "j uries",
+      "ĠWond ers",
+      "app roximately",
+      "Ġsusp ending",
+      "Ġmountain ous",
+      "ĠL augh",
+      "oid al",
+      "N s",
+      "Det ect",
+      ") =",
+      "ĠL uthor",
+      "ĠSchwarz enegger",
+      "ĠMull er",
+      "ĠDev i",
+      "ec ycle",
+      "J ar",
+      "6 13",
+      "ĠL ongh",
+      "B ah",
+      "ĠSP ORTS",
+      "n w",
+      "Ġref inement",
+      "Ġwater ways",
+      "Ġd iner",
+      "Bl ade",
+      "68 3",
+      "F ac",
+      "Ġinitial s",
+      "Ġro g",
+      "Ġparan ormal",
+      "B UT",
+      "Ġ[ (",
+      "ĠSw anson",
+      "ĠM esh",
+      "âĸ ¬",
+      "Impro ve",
+      "ĠRad iation",
+      "ĠEst her",
+      "ĠE sk",
+      "ĠA ly",
+      "ik y",
+      "Ġir rad",
+      "ĠBuck ingham",
+      "Ġref ill",
+      "Ġ. _",
+      "Re pe",
+      "CON CLUS",
+      "Ġdifferent iated",
+      "Ġchi rop",
+      "ĠAt kins",
+      "Pat tern",
+      "Ġexc ise",
+      "Ġcab al",
+      "N SA",
+      "ĠST A",
+      "ĠS IL",
+      "ĠPar aly",
+      "Ġr ye",
+      "ĠHow ell",
+      "ĠCount down",
+      "ness es",
+      "alys ed",
+      "Ġres ize",
+      "ãĤ ½",
+      "Ġbudget ary",
+      "ĠStr as",
+      "w ang",
+      "Ġap iece",
+      "Ġprecinct s",
+      "Ġpe ach",
+      "Ġsky line",
+      "Ġ35 3",
+      "pop ular",
+      "App earances",
+      "ĠMechan ics",
+      "ĠDev Online",
+      "S ullivan",
+      "Z en",
+      "Ġp u",
+      "op olis",
+      "5 44",
+      "Ġde form",
+      "Ġcounter act",
+      "ĠL ange",
+      "Ġ4 17",
+      "Con sole",
+      "77 4",
+      "Ġnodd ing",
+      "Ġpopul ism",
+      "Ġhe p",
+      "Ġcoun selling",
+      "compl iance",
+      "U FF",
+      "Ġunden iably",
+      "Ġrail ing",
+      "ĠHor owitz",
+      "ĠSim one",
+      "ĠBung ie",
+      "Ġa k",
+      "ĠTal ks",
+      "x ff",
+      "fl ake",
+      "Cr ash",
+      "Ġsweat y",
+      "Ġban quet",
+      "ĠOFF IC",
+      "Ġinvent ive",
+      "Ġastron omer",
+      "ĠStam ford",
+      "ĠSc are",
+      "ĠGRE EN",
+      "olic ited",
+      "Ġr usher",
+      "Ġcent rist",
+      "ight ing",
+      "Ġsub class",
+      "Ġdis av",
+      "Ġdef und",
+      "ĠN anto",
+      "oci ate",
+      "m ast",
+      "Ġpac if",
+      "Ġm end",
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+      "Ġnumber ing",
+      "Ġlaugh able",
+      "ĠEnd ed",
+      "v iation",
+      "em ark",
+      "P itt",
+      "Ġmetic ulous",
+      "ĠL F",
+      "Ġcongrat ulated",
+      "ĠBir ch",
+      "Ġsway ed",
+      "Ġsemif inals",
+      "Ġhum ankind",
+      "m atter",
+      "ĠEqu ip",
+      "opa usal",
+      "S aid",
+      "ĠLay out",
+      "Ġvo icing",
+      "Ġth ug",
+      "Ġporn ographic",
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+      "Ġmo aning",
+      "Ġgriev ance",
+      "Ġconf essions",
+      "esc al",
+      "TEXT URE",
+      "Aut hent",
+      "os aurus",
+      "P urchase",
+      "Ġreleg ation",
+      "al ter",
+      "ĠÂł Âł",
+      "Ġr iddled",
+      "Ġo gre",
+      "ĠLow ell",
+      "Occ up",
+      "E at",
+      "ĠHy der",
+      "ĠAdvis er",
+      "Com merce",
+      "H unt",
+      "ĠOr th",
+      "ĠComp etitive",
+      "ĠCL A",
+      "CD C",
+      "Ġsal ads",
+      "F le",
+      "Ġindustrial ized",
+      "` ,",
+      "ĠO WN",
+      "Ġbec k",
+      "ĠPart icularly",
+      "oub t",
+      "Ġm M",
+      "ĠHuss ain",
+      "ĠChen nai",
+      "Ġ9 20",
+      "Ġappoint ing",
+      "ĠCull en",
+      ",,,, ,,,,",
+      "Ġp ores",
+      "ver ified",
+      "Ġbi ochemical",
+      "em ate",
+      "Ġcoward ly",
+      "ĠHels inki",
+      "ĠEthiop ian",
+      "S OURCE",
+      "ER C",
+      "est ro",
+      "Ġbi otech",
+      "ĠS our",
+      "Ġbrew er",
+      "Bloom berg",
+      "Ġintens ify",
+      "Gl ass",
+      "an co",
+      "ĠF DR",
+      "gre SQL",
+      "ĠF ires",
+      "©¶æ ¥µ",
+      "ec o",
+      "100 1",
+      "ĠHom eless",
+      "Ġinstant aneous",
+      "ĠH aste",
+      "ig el",
+      "D iamond",
+      "Ġp aving",
+      "Ġland fill",
+      "Ġd ads",
+      "h oun",
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+      "Ġinc endiary",
+      "ĠLiving ston",
+      "ĠHil bert",
+      "ĠChe cks",
+      "st yles",
+      "in ators",
+      "ĠCl ive",
+      "ph rine",
+      "Ġchimpan zees",
+      "Ġp all",
+      "ĠJ M",
+      "ĠAad haar",
+      "ð Ŀ",
+      "Ġachie vable",
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+      "P ET",
+      "OOOO OOOO",
+      "M ot",
+      "Ġint angible",
+      "Ġbal let",
+      "ĠWe bs",
+      "ĠEst imated",
+      "Effect s",
+      "Ġb ailed",
+      "Josh ua",
+      "Ġturb ulence",
+      "Ġoccup ant",
+      "ĠDay light",
+      "Ġ36 1",
+      "me et",
+      "Ġstat ically",
+      "Ġon look",
+      "Ġk i",
+      "il legal",
+      "Ġvel vet",
+      "Ġdehyd ration",
+      "Ġacqu ies",
+      "ĠRe z",
+      "ak ura",
+      "ĠU pton",
+      "at ro",
+      "Ġincomp rehensible",
+      "Ġback door",
+      "ĠRh ino",
+      "7 27",
+      "Ġmath s",
+      ") +",
+      "Ġhe resy",
+      "Ġd f",
+      "ĠRoc he",
+      "ĠL ydia",
+      "Ġpanc reat",
+      "re ply",
+      "arre ll",
+      "Ġsolicit ation",
+      "Ġcirc adian",
+      "BI P",
+      "Ġfor ay",
+      "Ġcrypt ic",
+      "iz u",
+      "ime o",
+      "ĠTom ato",
+      "ĠH oms",
+      "ex amination",
+      "Ġqu arry",
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+      "ĠJer icho",
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+      "build ers",
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+      "Ġher ds",
+      "ç a",
+      "watch ing",
+      "Ġcounter ing",
+      "Ch arge",
+      "Ġchar red",
+      "Ġwar heads",
+      "Ġiod ine",
+      "ĠM acy",
+      "04 1",
+      "Ġdepart ures",
+      "ĠS ins",
+      "Ġdy ed",
+      "ĠConcept s",
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+      "Ġquot ations",
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+      "ĠChrist y",
+      "Ġant igen",
+      "ĠHem p",
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+      "ez vous",
+      "Ġp aternity",
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+      "ĠUs ername",
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+      "ĠCell ular",
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+      "ĠFor th",
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+      "Ġdun no",
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+      "Ġdys ph",
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+      ".' '.",
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+      "f ights",
+      "Ġretrie ving",
+      "J r",
+      "Ġdupl ication",
+      "ĠExpl an",
+      "Ġrel ational",
+      "Ġqu aint",
+      "Ġbisc uits",
+      "Ġad o",
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+      "Ġantid ote",
+      "blood ed",
+      "ks h",
+      "Ġsa uces",
+      "Ġrein vest",
+      "Ġdispens ary",
+      "ĠD iver",
+      "Ġ9 000",
+      "stud ent",
+      "Ġin separ",
+      "esc ap",
+      "Ġtodd lers",
+      "ĠGP IO",
+      "ĠAss ignment",
+      "head ers",
+      "Ġlack luster",
+      "Ġab ack",
+      "95 6",
+      "Ġtool bar",
+      "7 45",
+      "Ġo ust",
+      "Ġcontempl ation",
+      "ĠPRES IDENT",
+      "Ġ4 58",
+      "==== ==",
+      "Ġguarantee ing",
+      "ĠHe ist",
+      "ĠCann es",
+      "Ļ ½",
+      "Ġcollabor ator",
+      "ĠAm p",
+      "Ġg ou",
+      "ĠSH ALL",
+      "st ories",
+      "78 3",
+      "Ġmobil ized",
+      "Ġbro od",
+      "ĠL U",
+      "ĠðŁ ij",
+      "Ġref in",
+      "ĠAnthrop ology",
+      "v ind",
+      "ill i",
+      "Ġwarrant ies",
+      "ĠB abel",
+      "Ġsw ath",
+      "Ġc aches",
+      "Ġantagon ists",
+      "art ifacts",
+      "Ġhot ly",
+      "ĠSt arts",
+      "ĠG ö",
+      "z ag",
+      "!! !!!",
+      "Ġsc ourge",
+      "Ġcons piring",
+      "ru its",
+      "re verse",
+      "ĠShe en",
+      "ĠJes uit",
+      "ĠGiov anni",
+      "ad ies",
+      "Ġbutt ocks",
+      "ear cher",
+      "ac an",
+      "Ġvolley ball",
+      "Ġshroud ed",
+      "Ġscore board",
+      "b ats",
+      "ĠI PM",
+      "Ġass es",
+      "Ġde regulation",
+      "ĠTe legram",
+      "ĠReb oot",
+      "Ġ7 000",
+      "ĠCan ary",
+      "Ġk ernels",
+      "ĠFranç ois",
+      "ĠD uff",
+      "ĠP on",
+      "ĠLe ica",
+      "ĠGar min",
+      "Ġor phans",
+      "ĠClaud ia",
+      "Ġcal endars",
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+      "ent o",
+      "R ocket",
+      "Ġbr unch",
+      "ĠHaw king",
+      "ain ers",
+      "Ġsens ibilities",
+      "Ġk W",
+      "ĠK and",
+      "Ġre claimed",
+      "Ġinteresting ly",
+      "× ©",
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+      "J M",
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+      "b ush",
+      "Sk ip",
+      "Ġrapp ers",
+      "Ġg azing",
+      "p edia",
+      "ath lon",
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+      "Ġsn ipers",
+      "Ġre verted",
+      "Ġconglomer ate",
+      "T erry",
+      "79 4",
+      "Ġhars her",
+      "Ġdes olate",
+      "ĠHit man",
+      "Comm ission",
+      "Ġ( /",
+      "âĢ¦ .\"",
+      "Com par",
+      "Ġampl ification",
+      "om inated",
+      "Ġreg ress",
+      "ĠColl ider",
+      "Ġinform ants",
+      "Ġg azed"
+    ]
+  }
+}
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/log.txt b/packages/react-native-executorch/common/rnexecutorch/tests/log.txt
new file mode 100644
index 0000000000..281adbf686
--- /dev/null
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/log.txt
@@ -0,0 +1 @@
+Error: libc++_shared.so not found at: /toolchains/llvm/prebuilt/darwin-x86_64/sysroot/usr/lib/aarch64-linux-android/libc++_shared.so
diff --git a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
new file mode 100644
index 0000000000..0513f6bcb2
--- /dev/null
+++ b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
@@ -0,0 +1,121 @@
+import { useState, useEffect } from 'react';
+import {
+  InstanceSegmentationModule,
+  InstanceSegmentationLabels,
+} from '../../modules/computer_vision/InstanceSegmentationModule';
+import {
+  InstanceSegmentationProps,
+  InstanceSegmentationType,
+  InstanceModelNameOf,
+  InstanceSegmentationModelSources,
+  InstanceSegmentationOptions,
+} from '../../types/instanceSegmentation';
+import { RnExecutorchErrorCode } from '../../errors/ErrorCodes';
+import { RnExecutorchError, parseUnknownError } from '../../errors/errorUtils';
+
+/**
+ * React hook for managing an Instance Segmentation model instance.
+ *
+ * @typeParam C - A {@link InstanceSegmentationModelSources} config specifying which built-in model to load.
+ * @param props - Configuration object containing `model` config and optional `preventLoad` flag.
+ * @returns An object with model state (`error`, `isReady`, `isGenerating`, `downloadProgress`) and a typed `forward` function.
+ *
+ * @example
+ * ```ts
+ * const { isReady, forward } = useInstanceSegmentation({
+ *   model: { modelName: 'yolo26n-seg', modelSource: YOLO26N_SEG },
+ * });
+ * ```
+ *
+ * @category Hooks
+ */
+export const useInstanceSegmentation = <
+  C extends InstanceSegmentationModelSources,
+>({
+  model,
+  preventLoad = false,
+}: InstanceSegmentationProps<C>): InstanceSegmentationType<
+  InstanceSegmentationLabels<InstanceModelNameOf<C>>
+> => {
+  const [error, setError] = useState<RnExecutorchError | null>(null);
+  const [isReady, setIsReady] = useState(false);
+  const [isGenerating, setIsGenerating] = useState(false);
+  const [downloadProgress, setDownloadProgress] = useState(0);
+  const [instance, setInstance] = useState<InstanceSegmentationModule<
+    InstanceModelNameOf<C>
+  > | null>(null);
+
+  useEffect(() => {
+    if (preventLoad) return;
+
+    let isMounted = true;
+    let currentInstance: InstanceSegmentationModule<
+      InstanceModelNameOf<C>
+    > | null = null;
+
+    (async () => {
+      setDownloadProgress(0);
+      setError(null);
+      setIsReady(false);
+      try {
+        currentInstance = await InstanceSegmentationModule.fromModelName(
+          model,
+          (progress) => {
+            if (isMounted) setDownloadProgress(progress);
+          }
+        );
+        if (isMounted) {
+          setInstance(currentInstance);
+          setIsReady(true);
+        }
+      } catch (err) {
+        if (isMounted) setError(parseUnknownError(err));
+      }
+    })();
+
+    return () => {
+      isMounted = false;
+      currentInstance?.delete();
+    };
+
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [model.modelName, model.modelSource, preventLoad]);
+
+  const forward = async (
+    imageSource: string,
+    options?: InstanceSegmentationOptions<
+      InstanceSegmentationLabels<InstanceModelNameOf<C>>
+    >
+  ) => {
+    if (!isReady || !instance) {
+      throw new RnExecutorchError(
+        RnExecutorchErrorCode.ModuleNotLoaded,
+        'The model is currently not loaded. Please load the model before calling forward().'
+      );
+    }
+    if (isGenerating) {
+      throw new RnExecutorchError(
+        RnExecutorchErrorCode.ModelGenerating,
+        'The model is currently generating. Please wait until previous model run is complete.'
+      );
+    }
+    try {
+      setIsGenerating(true);
+      const result = await instance.forward(imageSource, options);
+      return result as any;
+    } catch (err) {
+      setError(parseUnknownError(err));
+      throw err;
+    } finally {
+      setIsGenerating(false);
+    }
+  };
+
+  return {
+    error,
+    isReady,
+    isGenerating,
+    downloadProgress,
+    forward,
+  };
+};
diff --git a/packages/react-native-executorch/src/index.ts b/packages/react-native-executorch/src/index.ts
index 5bb4d3d134..8bad010c93 100644
--- a/packages/react-native-executorch/src/index.ts
+++ b/packages/react-native-executorch/src/index.ts
@@ -44,6 +44,7 @@ declare global {
     allClasses: string[]
   ) => Promise<any>;
   var loadClassification: (source: string) => Promise<any>;
+  var loadInstanceSegmentation: (source: string) => any;
   var loadObjectDetection: (
     source: string,
     normMean: Triple<number> | [],
@@ -99,9 +100,11 @@ declare global {
   ) => Promise<any>;
 }
 // eslint-disable no-var
+
 if (
   global.loadStyleTransfer == null ||
   global.loadSemanticSegmentation == null ||
+  global.loadInstanceSegmentation == null ||
   global.loadTextToImage == null ||
   global.loadExecutorchModule == null ||
   global.loadClassification == null ||
@@ -129,6 +132,7 @@ export * from './hooks/computer_vision/useClassification';
 export * from './hooks/computer_vision/useObjectDetection';
 export * from './hooks/computer_vision/useStyleTransfer';
 export * from './hooks/computer_vision/useSemanticSegmentation';
+export * from './hooks/computer_vision/useInstanceSegmentation';
 export * from './hooks/computer_vision/useOCR';
 export * from './hooks/computer_vision/useVerticalOCR';
 export * from './hooks/computer_vision/useImageEmbeddings';
@@ -148,6 +152,7 @@ export * from './modules/computer_vision/ClassificationModule';
 export * from './modules/computer_vision/ObjectDetectionModule';
 export * from './modules/computer_vision/StyleTransferModule';
 export * from './modules/computer_vision/SemanticSegmentationModule';
+export * from './modules/computer_vision/InstanceSegmentationModule';
 export * from './modules/computer_vision/OCRModule';
 export * from './modules/computer_vision/VerticalOCRModule';
 export * from './modules/computer_vision/ImageEmbeddingsModule';
@@ -173,6 +178,7 @@ export * from './utils/llms/context_strategy';
 export * from './types/objectDetection';
 export * from './types/ocr';
 export * from './types/semanticSegmentation';
+export * from './types/instanceSegmentation';
 export * from './types/llm';
 export * from './types/vad';
 export * from './types/common';
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
new file mode 100644
index 0000000000..b6f041505e
--- /dev/null
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -0,0 +1,282 @@
+import { ResourceFetcher } from '../../utils/ResourceFetcher';
+import { ResourceSource, LabelEnum } from '../../types/common';
+import {
+  InstanceSegmentationModelSources,
+  InstanceSegmentationConfig,
+  InstanceSegmentationModelName,
+  InstanceModelNameOf,
+  GenericInstanceMask,
+  InstanceSegmentationOptions,
+} from '../../types/instanceSegmentation';
+import { CocoLabel } from '../../types/objectDetection';
+import { RnExecutorchErrorCode } from '../../errors/ErrorCodes';
+import { RnExecutorchError } from '../../errors/errorUtils';
+import { BaseModule } from '../BaseModule';
+
+const ModelConfigs = {
+  'yolo26n-seg': {
+    labelMap: CocoLabel,
+    availableInputSizes: [384, 416, 512, 640, 1024] as const,
+    defaultInputSize: 416,
+    postprocessorConfig: {
+      type: 'yolo' as const,
+      defaultConfidenceThreshold: 0.5,
+      defaultIouThreshold: 0.45,
+    },
+  },
+  'yolo26s-seg': {
+    labelMap: CocoLabel,
+    availableInputSizes: [384, 416, 512, 640, 1024] as const,
+    defaultInputSize: 416,
+    postprocessorConfig: {
+      type: 'yolo' as const,
+      defaultConfidenceThreshold: 0.5,
+      defaultIouThreshold: 0.45,
+    },
+  },
+  'yolo26m-seg': {
+    labelMap: CocoLabel,
+    availableInputSizes: [384, 416, 512, 640, 1024] as const,
+    defaultInputSize: 416,
+    postprocessorConfig: {
+      type: 'yolo' as const,
+      defaultConfidenceThreshold: 0.5,
+      defaultIouThreshold: 0.45,
+    },
+  },
+  'yolo26l-seg': {
+    labelMap: CocoLabel,
+    availableInputSizes: [384, 416, 512, 640, 1024] as const,
+    defaultInputSize: 416,
+    postprocessorConfig: {
+      type: 'yolo' as const,
+      defaultConfidenceThreshold: 0.5,
+      defaultIouThreshold: 0.45,
+    },
+  },
+  'yolo26x-seg': {
+    labelMap: CocoLabel,
+    availableInputSizes: [384, 416, 512, 640, 1024] as const,
+    defaultInputSize: 416,
+    postprocessorConfig: {
+      type: 'yolo' as const,
+      defaultConfidenceThreshold: 0.5,
+      defaultIouThreshold: 0.45,
+    },
+  },
+  'rfdetr_seg': {
+    labelMap: CocoLabel,
+    availableInputSizes: [640, 1024] as const,
+    defaultInputSize: 640,
+    preprocessorConfig: {
+      normMean: [0.485, 0.456, 0.406] as [number, number, number],
+      normStd: [0.229, 0.224, 0.225] as [number, number, number],
+    },
+    postprocessorConfig: {
+      type: 'rfdetr' as const,
+      defaultConfidenceThreshold: 0.7,
+      defaultIouThreshold: 0.5,
+    },
+  },
+} as const satisfies Record<
+  InstanceSegmentationModelName,
+  InstanceSegmentationConfig<LabelEnum>
+>;
+
+/** @internal */
+type ModelConfigsType = typeof ModelConfigs;
+
+/**
+ * Resolves the {@link LabelEnum} for a given built-in model name.
+ *
+ * @typeParam M - A built-in model name from {@link InstanceSegmentationModelName}.
+ *
+ * @category Types
+ */
+export type InstanceSegmentationLabels<
+  M extends InstanceSegmentationModelName,
+> = ModelConfigsType[M]['labelMap'];
+
+/**
+ * @internal
+ * Resolves the label type: if `T` is a {@link InstanceSegmentationModelName}, looks up its labels
+ * from the built-in config; otherwise uses `T` directly as a {@link LabelEnum}.
+ */
+type ResolveLabels<T extends InstanceSegmentationModelName | LabelEnum> =
+  T extends InstanceSegmentationModelName ? InstanceSegmentationLabels<T> : T;
+
+/**
+ * Generic instance segmentation module with type-safe label maps.
+ * Use a model name (e.g. `'yolo26n-seg'`) as the generic parameter for built-in models,
+ * or a custom label enum for custom configs.
+ *
+ * @typeParam T - Either a built-in model name or a custom {@link LabelEnum} label map.
+ *
+ * @category Typescript API
+ */
+export class InstanceSegmentationModule<
+  T extends InstanceSegmentationModelName | LabelEnum,
+> extends BaseModule {
+  private labelMap: ResolveLabels<T>;
+  private modelConfig: InstanceSegmentationConfig<ResolveLabels<T>>;
+
+  private constructor(
+    labelMap: ResolveLabels<T>,
+    modelConfig: InstanceSegmentationConfig<ResolveLabels<T>>,
+    nativeModule: unknown
+  ) {
+    super();
+    this.labelMap = labelMap;
+    this.modelConfig = modelConfig;
+    this.nativeModule = nativeModule;
+  }
+
+  // TODO: figure it out so we can delete this (we need this because of basemodule inheritance)
+  override async load() {}
+
+  /**
+   * Creates an instance segmentation module for a built-in model.
+   * The config object is discriminated by `modelName` — each model can require different fields.
+   *
+   * @param config - A {@link InstanceSegmentationModelSources} object specifying which model to load and where to fetch it from.
+   * @param onDownloadProgress - Optional callback to monitor download progress, receiving a value between 0 and 1.
+   * @returns A Promise resolving to an `InstanceSegmentationModule` instance typed to the chosen model's label map.
+   *
+   * @example
+   * ```ts
+   * const segmentation = await InstanceSegmentationModule.fromModelName({
+   *   modelName: 'yolo26n-seg',
+   *   modelSource: 'https://example.com/yolo26n-seg.pte',
+   * });
+   * ```
+   */
+  static async fromModelName<C extends InstanceSegmentationModelSources>(
+    config: C,
+    onDownloadProgress: (progress: number) => void = () => {}
+  ): Promise<InstanceSegmentationModule<InstanceModelNameOf<C>>> {
+    const { modelName, modelSource } = config;
+    const { labelMap } = ModelConfigs[modelName];
+
+    const paths = await ResourceFetcher.fetch(onDownloadProgress, modelSource);
+    if (!paths?.[0]) {
+      throw new RnExecutorchError(
+        RnExecutorchErrorCode.DownloadInterrupted,
+        'The download has been interrupted. As a result, not every file was downloaded. Please retry the download.'
+      );
+    }
+
+    if (typeof global.loadInstanceSegmentation !== 'function') {
+      throw new RnExecutorchError(
+        RnExecutorchErrorCode.ModuleNotLoaded,
+        `global.loadInstanceSegmentation is not available`
+      );
+    }
+
+    const nativeModule = global.loadInstanceSegmentation(paths[0]);
+
+    return new InstanceSegmentationModule<InstanceModelNameOf<C>>(
+      labelMap as ResolveLabels<InstanceModelNameOf<C>>,
+      nativeModule
+    );
+  }
+
+  /**
+   * Creates an instance segmentation module with a user-provided label map and custom config.
+   * Use this when working with a custom-exported segmentation model that is not one of the built-in models.
+   *
+   * @param modelSource - A fetchable resource pointing to the model binary.
+   * @param config - A {@link InstanceSegmentationConfig} object with the label map.
+   * @param onDownloadProgress - Optional callback to monitor download progress, receiving a value between 0 and 1.
+   * @returns A Promise resolving to an `InstanceSegmentationModule` instance typed to the provided label map.
+   *
+   * @example
+   * ```ts
+   * const MyLabels = { PERSON: 0, CAR: 1 } as const;
+   * const segmentation = await InstanceSegmentationModule.fromCustomConfig(
+   *   'https://example.com/custom_model.pte',
+   *   { labelMap: MyLabels },
+   * );
+   * ```
+   */
+  static async fromCustomConfig<L extends LabelEnum>(
+    modelSource: ResourceSource,
+    config: InstanceSegmentationConfig<L>,
+    onDownloadProgress: (progress: number) => void = () => {}
+  ): Promise<InstanceSegmentationModule<L>> {
+    const paths = await ResourceFetcher.fetch(onDownloadProgress, modelSource);
+    if (!paths?.[0]) {
+      throw new RnExecutorchError(
+        RnExecutorchErrorCode.DownloadInterrupted,
+        'The download has been interrupted. Please retry.'
+      );
+    }
+
+    const nativeModule = global.loadInstanceSegmentation(paths[0]);
+
+    return new InstanceSegmentationModule<L>(
+      config.labelMap as ResolveLabels<L>,
+      nativeModule
+    );
+  }
+
+  /**
+   * Executes the model's forward pass to perform instance segmentation on the provided image.
+   *
+   * @param imageSource - A string representing the image source (e.g., a file path, URI, or Base64-encoded string).
+   * @param options - Optional configuration for the segmentation process.
+   * @returns A Promise resolving to an array of instance masks.
+   * @throws {RnExecutorchError} If the model is not loaded.
+   */
+  async forward(
+    imageSource: string,
+    options?: InstanceSegmentationOptions<ResolveLabels<T>>
+  ): Promise<GenericInstanceMask<ResolveLabels<T>>[]> {
+    if (this.nativeModule == null) {
+      throw new RnExecutorchError(
+        RnExecutorchErrorCode.ModuleNotLoaded,
+        'The model is currently not loaded.'
+      );
+    }
+
+    // Extract options with defaults
+    const confidenceThreshold = options?.confidenceThreshold ?? 0.5;
+    const iouThreshold = options?.iouThreshold ?? 0.45;
+    const maxInstances = options?.maxInstances ?? 100;
+    const returnMaskAtOriginalResolution =
+      options?.returnMaskAtOriginalResolution ?? true;
+    const methodName = options?.methodName ?? 'forward_512';
+
+    // Convert classesOfInterest labels to indices
+    const classIndices = options?.classesOfInterest
+      ? options.classesOfInterest.map((label) => {
+          const labelStr = String(label);
+          const index = this.labelMap[labelStr as keyof ResolveLabels<T>];
+          return typeof index === 'number' ? index : -1;
+        })
+      : [];
+
+    const nativeResult = await this.nativeModule.generate(
+      imageSource,
+      confidenceThreshold,
+      iouThreshold,
+      maxInstances,
+      classIndices,
+      returnMaskAtOriginalResolution,
+      methodName
+    );
+
+    // Convert label indices back to label names
+    const reverseLabelMap = Object.entries(this.labelMap).reduce(
+      (acc, [key, value]) => {
+        acc[value as number] = key;
+        return acc;
+      },
+      {} as Record<number, string>
+    );
+
+    return nativeResult.map((instance: any) => ({
+      ...instance,
+      label: reverseLabelMap[instance.label] || `UNKNOWN_${instance.label}`,
+    })) as GenericInstanceMask<ResolveLabels<T>>[];
+  }
+}
diff --git a/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts
index e031e87612..ef9e6776d4 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts
@@ -182,6 +182,13 @@ export class SemanticSegmentationModule<
     );
   }
 
+  InstanceSegConfig = {
+    'yolo26n-seg': {
+      labelMap: LabelEnum,
+      prepocessorConfig: undefined,
+      availableInputSizes: [Number],
+    },
+  };
   /**
    * Executes the model's forward pass to perform semantic segmentation on the provided image.
    *
diff --git a/packages/react-native-executorch/src/types/instanceSegmentation.ts b/packages/react-native-executorch/src/types/instanceSegmentation.ts
new file mode 100644
index 0000000000..bbd0ea7097
--- /dev/null
+++ b/packages/react-native-executorch/src/types/instanceSegmentation.ts
@@ -0,0 +1,221 @@
+import { RnExecutorchError } from '../errors/errorUtils';
+import { LabelEnum, ResourceSource } from './common';
+import { Bbox, CocoLabel } from './objectDetection';
+
+/**
+ * Represents a single instance in instance segmentation output.
+ *
+ * @category Types
+ * @property {Bbox} bbox - The bounding box of the instance.
+ * @property {Uint8Array} mask - Binary mask (0 or 1) representing the instance.
+ * @property {number} maskWidth - Width of the mask array.
+ * @property {number} maskHeight - Height of the mask array.
+ * @property {keyof typeof CocoLabel} label - The class label of the instance.
+ * @property {number} score - Confidence score [0, 1].
+ * @property {number} instanceId - Unique identifier for this instance.
+ */
+export interface InstanceMask {
+  bbox: Bbox;
+  mask: Uint8Array;
+  maskWidth: number;
+  maskHeight: number;
+  label: keyof typeof CocoLabel;
+  score: number;
+  instanceId: number;
+}
+
+/**
+ * Generic instance mask type for custom label maps.
+ *
+ * @typeParam L - The {@link LabelEnum} type for custom models.
+ * @category Types
+ */
+export interface GenericInstanceMask<L extends LabelEnum> {
+  bbox: Bbox;
+  mask: Uint8Array;
+  maskWidth: number;
+  maskHeight: number;
+  label: keyof L;
+  score: number;
+  instanceId: number;
+}
+
+/**
+ * Preprocessor configuration for instance segmentation models.
+ *
+ * @category Types
+ */
+export interface PreprocessorConfig {
+  /**
+   * Mean values for normalization [R, G, B]. Applied as: (pixel / 255.0 - mean) / std
+   */
+  normMean?: [number, number, number];
+  /**
+   * Standard deviation values for normalization [R, G, B].
+   */
+  normStd?: [number, number, number];
+}
+
+/**
+ * Postprocessor configuration for instance segmentation models.
+ *
+ * @category Types
+ */
+export interface PostprocessorConfig {
+  /**
+   * Type of postprocessor to use. Determines how model outputs are interpreted.
+   */
+  type: 'yolo' | 'rfdetr';
+  /**
+   * Default confidence threshold for this model.
+   */
+  defaultConfidenceThreshold?: number;
+  /**
+   * Default IoU threshold for NMS for this model.
+   */
+  defaultIouThreshold?: number;
+}
+
+/**
+ * Options for instance segmentation forward pass.
+ *
+ * @typeParam L - The {@link LabelEnum} type for the model.
+ * @category Types
+ */
+export interface InstanceSegmentationOptions<L extends LabelEnum> {
+  /**
+   * Minimum confidence threshold for including instances.
+   * Defaults to model's defaultConfidenceThreshold (typically 0.5).
+   */
+  confidenceThreshold?: number;
+  /**
+   * IoU threshold for non-maximum suppression.
+   * Defaults to model's defaultIouThreshold (typically 0.45).
+   */
+  iouThreshold?: number;
+  /**
+   * Maximum number of instances to return. Default: 100
+   */
+  maxInstances?: number;
+  /**
+   * Filter to include only specific classes.
+   */
+  classesOfInterest?: (keyof L)[];
+  /**
+   * Whether to return masks at original image resolution. Default: true
+   */
+  returnMaskAtOriginalResolution?: boolean;
+  /**
+   * Input size for the model (e.g., 384, 416, 512, 640, 1024).
+   * Must be one of the model's availableInputSizes.
+   * Defaults to model's defaultInputSize.
+   */
+  inputSize?: number;
+}
+
+/**
+ * Configuration for custom instance segmentation model.
+ *
+ * @typeParam T - The {@link LabelEnum} type for the model.
+ * @property labelMap - The enum-like object mapping class names to indices
+ * @property availableInputSizes - Array of supported input sizes (e.g., [384, 416, 512, 640, 1024])
+ * @property defaultInputSize - Default input size to use if not specified
+ * @property preprocessorConfig - Optional preprocessing configuration (normalization, etc.)
+ * @property postprocessorConfig - Postprocessing configuration (type, thresholds, etc.)
+ * @category Types
+ */
+export type InstanceSegmentationConfig<T extends LabelEnum> = {
+  labelMap: T;
+  availableInputSizes: readonly number[];
+  defaultInputSize: number;
+  preprocessorConfig?: PreprocessorConfig;
+  postprocessorConfig: PostprocessorConfig;
+};
+
+/**
+ * Per-model config for {@link InstanceSegmentationModule.fromModelName}.
+ * Each model name maps to its required fields.
+ *
+ * @category Types
+ */
+export type InstanceSegmentationModelSources =
+  | { modelName: 'yolo26n-seg'; modelSource: ResourceSource }
+  | { modelName: 'yolo26s-seg'; modelSource: ResourceSource }
+  | { modelName: 'yolo26m-seg'; modelSource: ResourceSource }
+  | { modelName: 'yolo26l-seg'; modelSource: ResourceSource }
+  | { modelName: 'rfdetr_seg'; modelSource: ResourceSource }
+  | { modelName: 'yolo26x-seg'; modelSource: ResourceSource };
+
+/**
+ * Union of all built-in instance segmentation model names.
+ *
+ * @category Types
+ */
+export type InstanceSegmentationModelName =
+  InstanceSegmentationModelSources['modelName'];
+
+/**
+ * Extracts the model name from a {@link InstanceSegmentationModelSources} config object.
+ *
+ * @category Types
+ */
+export type InstanceModelNameOf<C extends InstanceSegmentationModelSources> =
+  C['modelName'];
+
+/**
+ * Props for the `useInstanceSegmentation` hook.
+ *
+ * @typeParam C - A {@link InstanceSegmentationModelSources} config specifying which built-in model to load.
+ * @property model - The model config containing `modelName` and `modelSource`.
+ * @property {boolean} [preventLoad] - Boolean that can prevent automatic model loading (and downloading the data if you load it for the first time) after running the hook.
+ *
+ * @category Types
+ */
+export interface InstanceSegmentationProps<
+  C extends InstanceSegmentationModelSources,
+> {
+  model: C;
+  preventLoad?: boolean;
+}
+
+/**
+ * Return type for the `useInstanceSegmentation` hook.
+ * Manages the state and operations for instance segmentation models.
+ *
+ * @typeParam L - The {@link LabelEnum} representing the model's class labels.
+ *
+ * @category Types
+ */
+export interface InstanceSegmentationType<L extends LabelEnum> {
+  /**
+   * Contains the error object if the model failed to load, download, or encountered a runtime error during segmentation.
+   */
+  error: RnExecutorchError | null;
+
+  /**
+   * Indicates whether the instance segmentation model is loaded and ready to process images.
+   */
+  isReady: boolean;
+
+  /**
+   * Indicates whether the model is currently processing an image.
+   */
+  isGenerating: boolean;
+
+  /**
+   * Represents the download progress of the model binary as a value between 0 and 1.
+   */
+  downloadProgress: number;
+
+  /**
+   * Executes the model's forward pass to perform instance segmentation on the provided image.
+   * @param imageSource - A string representing the image source (e.g., a file path, URI, or base64 string) to be processed.
+   * @param options - Optional configuration for the segmentation process.
+   * @returns A Promise resolving to an array of instance masks.
+   * @throws {RnExecutorchError} If the model is not loaded or is currently processing another image.
+   */
+  forward: (
+    imageSource: string,
+    options?: InstanceSegmentationOptions<L>
+  ) => Promise<GenericInstanceMask<L>[]>;
+}

From 5869154005c5bbd72f32f9b3e0ba3cba21c1040a Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Thu, 26 Feb 2026 16:10:04 +0100
Subject: [PATCH 05/56] Rename to BaseInstanceSegmentation

---
 .../app/instance_segmentation/index.tsx       | 373 +++++++++++-------
 .../rnexecutorch/RnExecutorchInstaller.cpp    |  35 +-
 ...ation.cpp => BaseInstanceSegmentation.cpp} | 124 +++---
 ...mentation.h => BaseInstanceSegmentation.h} |  27 +-
 packages/react-native-executorch/src/index.ts |   8 +-
 .../InstanceSegmentationModule.ts             |  63 ++-
 6 files changed, 380 insertions(+), 250 deletions(-)
 rename packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/{InstanceSegmentation.cpp => BaseInstanceSegmentation.cpp} (73%)
 rename packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/{InstanceSegmentation.h => BaseInstanceSegmentation.h} (58%)

diff --git a/apps/computer-vision/app/instance_segmentation/index.tsx b/apps/computer-vision/app/instance_segmentation/index.tsx
index 01701d731e..3ac79b79b3 100644
--- a/apps/computer-vision/app/instance_segmentation/index.tsx
+++ b/apps/computer-vision/app/instance_segmentation/index.tsx
@@ -33,29 +33,25 @@ import ScreenWrapper from '../../ScreenWrapper';
 const IMAGE_SIZES = [
   {
     size: 384,
-    method: 'forward_384',
     description: 'Baseline - Extreme low-power / simple objects',
   },
   {
     size: 416,
-    method: 'forward_416',
-    description: 'Legacy standard (YOLOv3/v4 era)',
+    description: 'Recommended - Best balance for edge (default)',
   },
   {
     size: 512,
-    method: 'forward_512',
-    description: 'Recommended - Best balance for edge',
+    description: 'Good balance for accuracy',
   },
-  { size: 640, method: 'forward_640', description: 'High accuracy standard' },
+  { size: 640, description: 'High accuracy standard' },
   {
     size: 1024,
-    method: 'forward_1024',
     description: 'Maximum accuracy (optional)',
   },
 ];
 
 interface BenchmarkResult {
-  method: string;
+  inputSize: number;
   description: string;
   resolution: string;
   timeMs: number;
@@ -85,8 +81,8 @@ export default function InstanceSegmentationScreen() {
   const { isReady, isGenerating, downloadProgress, forward, error } =
     useInstanceSegmentation({
       model: {
-        modelName: 'yolo26l-seg',
-        modelSource: 'http://192.168.83.59:3000/yolo26l-seg.pte',
+        modelName: 'yolo26n-seg',
+        modelSource: 'http://192.168.83.59:3000/yolo26n-seg.pte',
       },
     });
 
@@ -100,7 +96,7 @@ export default function InstanceSegmentationScreen() {
   );
   const [isBenchmarking, setIsBenchmarking] = useState(false);
   const [showBenchmark, setShowBenchmark] = useState(false);
-  const [selectedMethod, setSelectedMethod] = useState('forward_512');
+  const [selectedInputSize, setSelectedInputSize] = useState(416);
 
   useEffect(() => {
     setGlobalGenerating(isGenerating);
@@ -134,17 +130,17 @@ export default function InstanceSegmentationScreen() {
     console.log(`Image: ${imageUri}`);
     console.log(`Image Size: ${imageSize.width}x${imageSize.height}`);
     console.log('');
-    console.log('ℹ️  NOTE: Your model may only have forward_512 exported.');
-    console.log('   Other methods will fail if not present in the .pte file.');
+    console.log('ℹ️  NOTE: Your model may only support certain input sizes.');
+    console.log(
+      '   Methods will fail if the input size is not exported in the .pte file.'
+    );
     console.log('');
 
     for (const config of IMAGE_SIZES) {
-      const resolution = config.size
-        ? `${config.size}x${config.size}`
-        : `${config.width}x${config.height}`;
+      const resolution = `${config.size}x${config.size}`;
 
       console.log('-'.repeat(60));
-      console.log(`Testing: ${config.method}`);
+      console.log(`Testing: ${config.size}x${config.size}`);
       console.log(`Description: ${config.description}`);
       console.log(`Resolution: ${resolution}`);
       console.log('-'.repeat(60));
@@ -157,7 +153,7 @@ export default function InstanceSegmentationScreen() {
           iouThreshold: 0.45,
           maxInstances: 20,
           returnMaskAtOriginalResolution: true,
-          methodName: config.method,
+          inputSize: config.size,
         });
 
         const endTime = performance.now();
@@ -169,7 +165,7 @@ export default function InstanceSegmentationScreen() {
         console.log('');
 
         results.push({
-          method: config.method,
+          inputSize: config.size,
           description: config.description,
           resolution,
           timeMs,
@@ -178,7 +174,7 @@ export default function InstanceSegmentationScreen() {
         });
 
         // Update UI with the last result
-        if (config.method === IMAGE_SIZES[IMAGE_SIZES.length - 1].method) {
+        if (config.size === IMAGE_SIZES[IMAGE_SIZES.length - 1].size) {
           setInstances(output);
           // Create Skia images for visualization
           const images: SkImage[] = [];
@@ -225,7 +221,7 @@ export default function InstanceSegmentationScreen() {
         console.log('');
 
         results.push({
-          method: config.method,
+          inputSize: config.size,
           description: config.description,
           resolution,
           timeMs: 0,
@@ -253,10 +249,10 @@ export default function InstanceSegmentationScreen() {
         successfulRuns.length;
 
       console.log(
-        `⚡ Fastest: ${fastest.method} - ${fastest.timeMs.toFixed(2)} ms`
+        `⚡ Fastest: ${fastest.inputSize}x${fastest.inputSize} - ${fastest.timeMs.toFixed(2)} ms`
       );
       console.log(
-        `🐌 Slowest: ${slowest.method} - ${slowest.timeMs.toFixed(2)} ms`
+        `🐌 Slowest: ${slowest.inputSize}x${slowest.inputSize} - ${slowest.timeMs.toFixed(2)} ms`
       );
       console.log(`📊 Average: ${avgTime.toFixed(2)} ms`);
       console.log(
@@ -276,18 +272,21 @@ export default function InstanceSegmentationScreen() {
     }
 
     try {
-      console.log(`Running ${selectedMethod} with image:`, imageUri);
+      console.log(
+        `Running ${selectedInputSize}x${selectedInputSize} with image:`,
+        imageUri
+      );
       const startTime = performance.now();
       const output = await forward(imageUri, {
-        confidenceThreshold: 0.7,
-        iouThreshold: 0.15,
+        confidenceThreshold: 0.5,
+        iouThreshold: 0.55,
         maxInstances: 20,
         returnMaskAtOriginalResolution: true,
-        methodName: selectedMethod,
+        inputSize: selectedInputSize,
       });
       const endTime = performance.now();
       console.log(
-        `✅ ${selectedMethod} succeeded in ${(endTime - startTime).toFixed(2)}ms - detected ${output.length} instances`
+        `✅ ${selectedInputSize}x${selectedInputSize} succeeded in ${(endTime - startTime).toFixed(2)}ms - detected ${output.length} instances`
       );
 
       // Debug: log first instance structure
@@ -504,32 +503,32 @@ export default function InstanceSegmentationScreen() {
               style={styles.methodButtonsContainer}
             >
               {[
-                { label: '384', value: 'forward_384' },
-                { label: '416', value: 'forward_416' },
-                { label: '512', value: 'forward_512' },
-                { label: '640', value: 'forward_640' },
-                { label: '1024', value: 'forward_1024' },
-              ].map((method) => (
+                { label: '384', value: 384 },
+                { label: '416', value: 416 },
+                { label: '512', value: 512 },
+                { label: '640', value: 640 },
+                { label: '1024', value: 1024 },
+              ].map((sizeOption) => (
                 <TouchableOpacity
-                  key={method.value}
+                  key={sizeOption.value}
                   style={[
                     styles.methodButton,
-                    selectedMethod === method.value &&
+                    selectedInputSize === sizeOption.value &&
                       styles.methodButtonActive,
                   ]}
                   onPress={() => {
-                    console.log(`Selected method: ${method.value}`);
-                    setSelectedMethod(method.value);
+                    console.log(`Selected input size: ${sizeOption.value}`);
+                    setSelectedInputSize(sizeOption.value);
                   }}
                 >
                   <Text
                     style={[
                       styles.methodButtonText,
-                      selectedMethod === method.value &&
+                      selectedInputSize === sizeOption.value &&
                         styles.methodButtonTextActive,
                     ]}
                   >
-                    {method.label}
+                    {sizeOption.label}
                   </Text>
                 </TouchableOpacity>
               ))}
@@ -576,7 +575,8 @@ export default function InstanceSegmentationScreen() {
                 >
                   <View style={styles.benchmarkRowHeader}>
                     <Text style={styles.benchmarkMethod}>
-                      {result.success ? '✅' : '❌'} {result.method}
+                      {result.success ? '✅' : '❌'} {result.inputSize}x
+                      {result.inputSize}
                     </Text>
                     <Text style={styles.benchmarkResolution}>
                       {result.resolution}
@@ -645,28 +645,37 @@ const styles = StyleSheet.create({
   container: {
     flex: 6,
     width: '100%',
+    backgroundColor: '#f8f9fa',
   },
   imageCanvasContainer: {
     flex: 1,
     width: '100%',
-    padding: 16,
+    padding: 20,
   },
   imageContainer: {
     position: 'absolute',
-    top: 16,
-    left: 16,
-    right: 16,
-    bottom: 16,
+    top: 20,
+    left: 20,
+    right: 20,
+    bottom: 20,
+    borderRadius: 24,
+    overflow: 'hidden',
+    shadowColor: '#000',
+    shadowOffset: { width: 0, height: 8 },
+    shadowOpacity: 0.15,
+    shadowRadius: 24,
+    elevation: 12,
   },
   image: {
     width: '100%',
     height: '100%',
-    borderRadius: 8,
   },
   canvasContainer: {
     flex: 1,
     justifyContent: 'center',
     alignItems: 'center',
+    borderRadius: 24,
+    overflow: 'hidden',
   },
   canvas: {
     width: '100%',
@@ -674,16 +683,23 @@ const styles = StyleSheet.create({
   },
   resultsContainer: {
     maxHeight: 200,
-    padding: 16,
-    backgroundColor: '#f5f5f5',
-    borderTopWidth: 1,
-    borderTopColor: '#ddd',
+    paddingHorizontal: 20,
+    paddingVertical: 16,
+    backgroundColor: 'rgba(255, 255, 255, 0.95)',
+    borderTopLeftRadius: 24,
+    borderTopRightRadius: 24,
+    shadowColor: '#000',
+    shadowOffset: { width: 0, height: -4 },
+    shadowOpacity: 0.1,
+    shadowRadius: 12,
+    elevation: 8,
   },
   resultsHeader: {
-    fontSize: 16,
-    fontWeight: 'bold',
-    marginBottom: 8,
-    color: '#333',
+    fontSize: 18,
+    fontWeight: '700',
+    marginBottom: 12,
+    color: '#1a1a1a',
+    letterSpacing: -0.5,
   },
   resultsList: {
     flex: 1,
@@ -691,166 +707,237 @@ const styles = StyleSheet.create({
   resultRow: {
     flexDirection: 'row',
     alignItems: 'center',
-    paddingVertical: 6,
+    paddingVertical: 8,
+    paddingHorizontal: 12,
+    marginBottom: 6,
+    backgroundColor: 'rgba(255, 255, 255, 0.8)',
+    borderRadius: 12,
+    shadowColor: '#000',
+    shadowOffset: { width: 0, height: 2 },
+    shadowOpacity: 0.05,
+    shadowRadius: 4,
+    elevation: 2,
   },
   colorBox: {
-    width: 20,
-    height: 20,
-    borderRadius: 4,
-    marginRight: 8,
-    borderWidth: 1,
-    borderColor: '#333',
+    width: 24,
+    height: 24,
+    borderRadius: 8,
+    marginRight: 12,
+    shadowColor: '#000',
+    shadowOffset: { width: 0, height: 2 },
+    shadowOpacity: 0.2,
+    shadowRadius: 4,
+    elevation: 3,
   },
   resultText: {
-    fontSize: 14,
-    color: '#333',
+    fontSize: 15,
+    fontWeight: '600',
+    color: '#2c3e50',
+    letterSpacing: -0.3,
   },
   errorContainer: {
     flex: 1,
     justifyContent: 'center',
     alignItems: 'center',
-    padding: 20,
+    padding: 32,
+    backgroundColor: '#f8f9fa',
   },
   errorTitle: {
-    fontSize: 20,
-    fontWeight: 'bold',
-    color: '#d32f2f',
-    marginBottom: 12,
+    fontSize: 24,
+    fontWeight: '700',
+    color: '#e74c3c',
+    marginBottom: 16,
+    letterSpacing: -0.5,
   },
   errorText: {
-    fontSize: 14,
-    color: '#333',
+    fontSize: 16,
+    color: '#34495e',
     textAlign: 'center',
-    marginBottom: 8,
+    marginBottom: 12,
+    lineHeight: 24,
   },
   errorCode: {
-    fontSize: 12,
-    color: '#666',
-    fontFamily: 'monospace',
+    fontSize: 13,
+    color: '#7f8c8d',
+    fontFamily: 'Courier',
+    backgroundColor: 'rgba(0, 0, 0, 0.05)',
+    paddingHorizontal: 12,
+    paddingVertical: 6,
+    borderRadius: 8,
   },
   benchmarkButtonContainer: {
-    padding: 16,
-    backgroundColor: '#fff',
-    borderTopWidth: 1,
-    borderTopColor: '#ddd',
+    paddingHorizontal: 20,
+    paddingVertical: 16,
+    backgroundColor: 'rgba(255, 255, 255, 0.95)',
+    borderTopLeftRadius: 24,
+    borderTopRightRadius: 24,
+    shadowColor: '#000',
+    shadowOffset: { width: 0, height: -4 },
+    shadowOpacity: 0.1,
+    shadowRadius: 12,
+    elevation: 8,
   },
   benchmarkButton: {
-    backgroundColor: '#2196F3',
-    paddingVertical: 12,
-    paddingHorizontal: 20,
-    borderRadius: 8,
+    backgroundColor: '#667eea',
+    paddingVertical: 16,
+    paddingHorizontal: 24,
+    borderRadius: 16,
     alignItems: 'center',
+    shadowColor: '#667eea',
+    shadowOffset: { width: 0, height: 4 },
+    shadowOpacity: 0.3,
+    shadowRadius: 8,
+    elevation: 6,
   },
   benchmarkButtonDisabled: {
-    backgroundColor: '#90CAF9',
+    backgroundColor: '#a8b5f0',
+    shadowOpacity: 0.15,
   },
   benchmarkButtonText: {
     color: '#fff',
     fontSize: 16,
-    fontWeight: 'bold',
+    fontWeight: '700',
+    letterSpacing: -0.3,
   },
   benchmarkContainer: {
-    maxHeight: 300,
-    padding: 16,
-    backgroundColor: '#f9f9f9',
-    borderTopWidth: 2,
-    borderTopColor: '#2196F3',
+    maxHeight: 320,
+    paddingHorizontal: 20,
+    paddingVertical: 20,
+    backgroundColor: 'rgba(255, 255, 255, 0.95)',
+    borderTopLeftRadius: 24,
+    borderTopRightRadius: 24,
+    shadowColor: '#000',
+    shadowOffset: { width: 0, height: -4 },
+    shadowOpacity: 0.1,
+    shadowRadius: 12,
+    elevation: 8,
   },
   benchmarkHeader: {
-    fontSize: 18,
-    fontWeight: 'bold',
-    marginBottom: 12,
-    color: '#2196F3',
+    fontSize: 20,
+    fontWeight: '700',
+    marginBottom: 16,
+    color: '#667eea',
+    letterSpacing: -0.5,
   },
   benchmarkList: {
     flex: 1,
   },
   benchmarkRow: {
-    backgroundColor: '#fff',
-    padding: 12,
-    borderRadius: 8,
-    marginBottom: 8,
-    borderWidth: 1,
-    borderColor: '#4CAF50',
+    backgroundColor: 'rgba(102, 126, 234, 0.05)',
+    padding: 16,
+    borderRadius: 16,
+    marginBottom: 10,
+    borderLeftWidth: 4,
+    borderLeftColor: '#10b981',
+    shadowColor: '#000',
+    shadowOffset: { width: 0, height: 2 },
+    shadowOpacity: 0.05,
+    shadowRadius: 6,
+    elevation: 2,
   },
   benchmarkRowError: {
-    borderColor: '#f44336',
-    backgroundColor: '#ffebee',
+    backgroundColor: 'rgba(239, 68, 68, 0.08)',
+    borderLeftColor: '#ef4444',
   },
   benchmarkRowHeader: {
     flexDirection: 'row',
     justifyContent: 'space-between',
     alignItems: 'center',
-    marginBottom: 4,
+    marginBottom: 6,
   },
   benchmarkMethod: {
-    fontSize: 16,
-    fontWeight: 'bold',
-    color: '#333',
+    fontSize: 17,
+    fontWeight: '700',
+    color: '#1a1a1a',
+    letterSpacing: -0.3,
   },
   benchmarkResolution: {
-    fontSize: 12,
-    color: '#666',
-    fontFamily: 'monospace',
+    fontSize: 13,
+    color: '#6b7280',
+    fontFamily: 'Courier',
+    backgroundColor: 'rgba(0, 0, 0, 0.05)',
+    paddingHorizontal: 8,
+    paddingVertical: 3,
+    borderRadius: 6,
   },
   benchmarkDescription: {
-    fontSize: 12,
-    color: '#666',
-    marginBottom: 6,
-    fontStyle: 'italic',
+    fontSize: 13,
+    color: '#6b7280',
+    marginBottom: 8,
+    lineHeight: 18,
   },
   benchmarkStats: {
     flexDirection: 'row',
     justifyContent: 'space-between',
+    alignItems: 'center',
   },
   benchmarkTime: {
-    fontSize: 14,
-    fontWeight: 'bold',
-    color: '#4CAF50',
-    fontFamily: 'monospace',
+    fontSize: 15,
+    fontWeight: '700',
+    color: '#10b981',
+    fontFamily: 'Courier',
   },
   benchmarkInstances: {
-    fontSize: 14,
-    color: '#2196F3',
+    fontSize: 15,
+    fontWeight: '600',
+    color: '#667eea',
   },
   benchmarkError: {
-    fontSize: 12,
-    color: '#f44336',
-    fontFamily: 'monospace',
+    fontSize: 13,
+    color: '#ef4444',
+    fontFamily: 'Courier',
+    backgroundColor: 'rgba(239, 68, 68, 0.1)',
+    paddingHorizontal: 8,
+    paddingVertical: 4,
+    borderRadius: 6,
   },
   methodSelectorContainer: {
-    padding: 16,
-    paddingBottom: 8,
-    backgroundColor: '#fff',
-    borderTopWidth: 1,
-    borderTopColor: '#ddd',
+    paddingHorizontal: 20,
+    paddingTop: 16,
+    paddingBottom: 12,
+    backgroundColor: 'rgba(255, 255, 255, 0.95)',
+    borderTopLeftRadius: 24,
+    borderTopRightRadius: 24,
+    shadowColor: '#000',
+    shadowOffset: { width: 0, height: -4 },
+    shadowOpacity: 0.1,
+    shadowRadius: 12,
+    elevation: 8,
   },
   methodSelectorLabel: {
-    fontSize: 16,
-    fontWeight: '600',
-    color: '#333',
-    marginBottom: 8,
+    fontSize: 17,
+    fontWeight: '700',
+    color: '#1a1a1a',
+    marginBottom: 12,
+    letterSpacing: -0.3,
   },
   methodButtonsContainer: {
     flexDirection: 'row',
   },
   methodButton: {
-    paddingHorizontal: 20,
-    paddingVertical: 10,
-    marginRight: 8,
-    borderRadius: 8,
-    borderWidth: 2,
-    borderColor: '#2196F3',
-    backgroundColor: '#fff',
+    paddingHorizontal: 22,
+    paddingVertical: 12,
+    marginRight: 10,
+    borderRadius: 14,
+    backgroundColor: 'rgba(102, 126, 234, 0.1)',
+    shadowColor: '#667eea',
+    shadowOffset: { width: 0, height: 2 },
+    shadowOpacity: 0.1,
+    shadowRadius: 4,
+    elevation: 2,
   },
   methodButtonActive: {
-    backgroundColor: '#2196F3',
-    borderColor: '#2196F3',
+    backgroundColor: '#667eea',
+    shadowOpacity: 0.3,
+    shadowRadius: 8,
+    elevation: 4,
+    transform: [{ scale: 1.05 }],
   },
   methodButtonText: {
-    fontSize: 14,
-    fontWeight: 'bold',
-    color: '#2196F3',
+    fontSize: 15,
+    fontWeight: '700',
+    color: '#667eea',
+    letterSpacing: -0.3,
   },
   methodButtonTextActive: {
     color: '#fff',
diff --git a/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.cpp b/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.cpp
index c7fcd4b397..8d2c061485 100644
--- a/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.cpp
@@ -6,7 +6,7 @@
 #include <rnexecutorch/models/classification/Classification.h>
 #include <rnexecutorch/models/embeddings/image/ImageEmbeddings.h>
 #include <rnexecutorch/models/embeddings/text/TextEmbeddings.h>
-#include <rnexecutorch/models/instance_segmentation/InstanceSegmentation.h>
+#include <rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h>
 #include <rnexecutorch/models/llm/LLM.h>
 #include <rnexecutorch/models/object_detection/ObjectDetection.h>
 #include <rnexecutorch/models/ocr/OCR.h>
@@ -49,21 +49,11 @@ void RnExecutorchInstaller::injectJSIBindings(
           models::semantic_segmentation::BaseSemanticSegmentation>(
           jsiRuntime, jsCallInvoker, "loadSemanticSegmentation"));
 
-  std::cout << "[RnExecutorch] Registering loadInstanceSegmentation..."
-            << std::endl;
-  try {
-    jsiRuntime->global().setProperty(
-        *jsiRuntime, "loadInstanceSegmentation",
-        RnExecutorchInstaller::loadModel<
-            models::instance_segmentation::InstanceSegmentation>(
-            jsiRuntime, jsCallInvoker, "loadInstanceSegmentation"));
-    std::cout
-        << "[RnExecutorch] loadInstanceSegmentation registered successfully!"
-        << std::endl;
-  } catch (const std::exception &e) {
-    std::cerr << "[RnExecutorch] ERROR registering loadInstanceSegmentation: "
-              << e.what() << std::endl;
-  }
+  jsiRuntime->global().setProperty(
+      *jsiRuntime, "loadInstanceSegmentation",
+      RnExecutorchInstaller::loadModel<
+          models::instance_segmentation::BaseInstanceSegmentation>(
+          jsiRuntime, jsCallInvoker, "loadInstanceSegmentation"));
 
   jsiRuntime->global().setProperty(
       *jsiRuntime, "loadTextToImage",
@@ -134,19 +124,6 @@ void RnExecutorchInstaller::injectJSIBindings(
 
   threads::utils::unsafeSetupThreadPool();
   threads::GlobalThreadPool::initialize();
-
-  // Verify loadInstanceSegmentation is available
-  std::cout
-      << "[RnExecutorch] Verifying loadInstanceSegmentation is accessible..."
-      << std::endl;
-  if (jsiRuntime->global().hasProperty(*jsiRuntime,
-                                       "loadInstanceSegmentation")) {
-    std::cout << "[RnExecutorch] ✅ loadInstanceSegmentation IS available!"
-              << std::endl;
-  } else {
-    std::cerr << "[RnExecutorch] ❌ loadInstanceSegmentation IS NOT available!"
-              << std::endl;
-  }
 }
 
 } // namespace rnexecutorch
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/InstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
similarity index 73%
rename from packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/InstanceSegmentation.cpp
rename to packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index 2ad5e31941..375abc3c68 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/InstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -1,4 +1,4 @@
-#include "InstanceSegmentation.h"
+#include "BaseInstanceSegmentation.h"
 
 #include <cmath>
 #include <iostream>
@@ -7,19 +7,33 @@
 #include <rnexecutorch/data_processing/ImageProcessing.h>
 namespace rnexecutorch::models::instance_segmentation {
 
-InstanceSegmentation::InstanceSegmentation(
-    const std::string &modelSource,
+BaseInstanceSegmentation::BaseInstanceSegmentation(
+    const std::string &modelSource, const std::string &postprocessorType,
+    std::vector<float> normMean, std::vector<float> normStd, bool applyNMS,
     std::shared_ptr<react::CallInvoker> callInvoker)
-    : BaseModel(modelSource, callInvoker) {
-  // For multi-method models (like YOLO with forward_512, forward_640, etc.),
-  // we can't use getAllInputShapes() as it requires a default "forward" method.
-  // Instead, we'll set a default size. The YOLO models typically use 512x512
-  // input. If you need a different size, modify this or the model export to
-  // include a default forward method.
-  modelImageSize = cv::Size(512, 512);
+    : BaseModel(modelSource, callInvoker),
+      postprocessorType_(postprocessorType), applyNMS_(applyNMS) {
+  // Validate postprocessor type
+  if (postprocessorType_ != "yolo" && postprocessorType_ != "rfdetr") {
+    throw RnExecutorchError(
+        RnExecutorchErrorCode::InvalidConfig,
+        "Postprocessor type must be 'yolo' or 'rfdetr'. Got: " +
+            postprocessorType_);
+  }
+
+  // Store normalization parameters if provided
+  if (normMean.size() == 3) {
+    normMean_ = cv::Scalar(normMean[0], normMean[1], normMean[2]);
+  }
+  if (normStd.size() == 3) {
+    normStd_ = cv::Scalar(normStd[0], normStd[1], normStd[2]);
+  }
+
+  // For multi-method models, we set a default size
+  modelImageSize = cv::Size(416, 416);
 }
 
-float InstanceSegmentation::intersectionOverUnion(
+float BaseInstanceSegmentation::intersectionOverUnion(
     const types::InstanceMask &a, const types::InstanceMask &b) {
   float x1 = std::max(a.x1, b.x1);
   float y1 = std::max(a.y1, b.y1);
@@ -34,7 +48,7 @@ float InstanceSegmentation::intersectionOverUnion(
   return (unionArea > 0) ? (intersectionArea / unionArea) : 0.0f;
 }
 
-std::vector<types::InstanceMask> InstanceSegmentation::nonMaxSuppression(
+std::vector<types::InstanceMask> BaseInstanceSegmentation::nonMaxSuppression(
     std::vector<types::InstanceMask> instances, double iouThreshold) {
   if (instances.empty()) {
     return {};
@@ -74,12 +88,13 @@ std::vector<types::InstanceMask> InstanceSegmentation::nonMaxSuppression(
   return result;
 }
 
-std::vector<types::InstanceMask> InstanceSegmentation::postprocess(
+std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
     const std::vector<EValue> &tensors, cv::Size originalSize,
     cv::Size modelInputSize, double confidenceThreshold, double iouThreshold,
     int maxInstances, const std::vector<int32_t> &classIndices,
     bool returnMaskAtOriginalResolution) {
 
+  // Validate parameters
   if (confidenceThreshold <= 0 || confidenceThreshold > 1) {
     throw RnExecutorchError(RnExecutorchErrorCode::InvalidConfig,
                             "Confidence threshold must be greater than 0 "
@@ -92,6 +107,15 @@ std::vector<types::InstanceMask> InstanceSegmentation::postprocess(
                             "and less than or equal to 1.");
   }
 
+  // Check postprocessor type and delegate
+  if (postprocessorType_ == "yolo") {
+    // Continue with YOLO postprocessing below
+  } else if (postprocessorType_ == "rfdetr") {
+    throw RnExecutorchError(RnExecutorchErrorCode::InvalidConfig,
+                            "RF-DETR postprocessing is not yet implemented. "
+                            "Only YOLO models are currently supported.");
+  }
+
   float widthRatio =
       static_cast<float>(originalSize.width) / modelInputSize.width;
   float heightRatio =
@@ -241,9 +265,10 @@ std::vector<types::InstanceMask> InstanceSegmentation::postprocess(
     instances.push_back(std::move(instance));
   }
 
-  // Note: The model already applies NMS internally, but we can apply it again
-  // if requested with a different IoU threshold
-  if (iouThreshold < 0.45) {
+  // Apply NMS if enabled
+  // Note: Some models (like YOLO) already apply NMS internally,
+  // but we can apply it again if requested with a different IoU threshold
+  if (applyNMS_ && iouThreshold < 0.45) {
     // Only apply additional NMS if threshold is stricter than model's default
     instances = nonMaxSuppression(instances, iouThreshold);
   }
@@ -261,64 +286,39 @@ std::vector<types::InstanceMask> InstanceSegmentation::postprocess(
   return instances;
 }
 
-std::vector<types::InstanceMask> InstanceSegmentation::generate(
+std::vector<types::InstanceMask> BaseInstanceSegmentation::generate(
     std::string imageSource, double confidenceThreshold, double iouThreshold,
     int maxInstances, std::vector<int32_t> classIndices,
-    bool returnMaskAtOriginalResolution, std::string methodName) {
-
-  // Parse input size from method name (e.g., "forward_512" -> 512x512)
-  cv::Size inputSize = modelImageSize; // Default to 512x512
-
-  if (methodName.find("forward_") == 0) {
-    std::string sizeStr = methodName.substr(8); // Skip "forward_"
-
-    // Check for WxH format with 'x' (e.g., "640x384")
-    size_t xPos = sizeStr.find('x');
-    if (xPos != std::string::npos) {
-      // Format: forward_WIDTHxHEIGHT
-      int width = std::stoi(sizeStr.substr(0, xPos));
-      int height = std::stoi(sizeStr.substr(xPos + 1));
-      inputSize = cv::Size(width, height);
-      std::cout << "[InstanceSeg] Parsed " << methodName << " -> W=" << width
-                << " H=" << height << std::endl;
-    } else {
-      // Check for W_H format with underscore (e.g., "640_384")
-      size_t underscorePos = sizeStr.find('_');
-      if (underscorePos != std::string::npos) {
-        // Format: forward_WIDTH_HEIGHT
-        int width = std::stoi(sizeStr.substr(0, underscorePos));
-        int height = std::stoi(sizeStr.substr(underscorePos + 1));
-        inputSize = cv::Size(width, height);
-        std::cout << "[InstanceSeg] Parsed " << methodName << " -> W=" << width
-                  << " H=" << height << std::endl;
-      } else {
-        // Format: forward_SIZE (square)
-        int size = std::stoi(sizeStr);
-        inputSize = cv::Size(size, size);
-        std::cout << "[InstanceSeg] Parsed " << methodName << " -> " << size
-                  << "x" << size << std::endl;
-      }
-    }
-  }
+    bool returnMaskAtOriginalResolution, int32_t inputSize) {
+
+  // Construct method name from inputSize (e.g., 512 -> "forward_512")
+  std::string methodName = getMethodName(inputSize);
+  cv::Size modelInputSize(inputSize, inputSize);
+
+  std::cout << "[InstanceSeg] Using method: " << methodName
+            << " with input size: " << inputSize << "x" << inputSize
+            << std::endl;
 
-  // Create input shape based on parsed size
-  std::vector<int32_t> inputShape = {1, 3, inputSize.height, inputSize.width};
-  std::cout << "[InstanceSeg] Input tensor shape: [1, 3, " << inputSize.height
-            << ", " << inputSize.width << "]" << std::endl;
+  // Create input shape
+  std::vector<int32_t> inputShape = {1, 3, inputSize, inputSize};
 
-  auto [inputTensor, originalSize] =
-      image_processing::readImageToTensor(imageSource, inputShape);
+  // Read and preprocess image with optional normalization
+  // readImageToTensor will apply normalization if normMean_ and normStd_ are
+  // provided
+  auto [inputTensor, originalSize] = image_processing::readImageToTensor(
+      imageSource, inputShape, false, normMean_, normStd_);
 
-  // Use the specified method name (e.g., "forward_512", "forward_640")
+  // Execute model
   auto forwardResult = BaseModel::execute(methodName, {inputTensor});
   if (!forwardResult.ok()) {
     throw RnExecutorchError(
         forwardResult.error(),
         "The model's forward function did not succeed. "
-        "Ensure the model input is correct and method name is valid.");
+        "Ensure the model input is correct and method name '" +
+            methodName + "' is valid.");
   }
 
-  return postprocess(forwardResult.get(), originalSize, inputSize,
+  return postprocess(forwardResult.get(), originalSize, modelInputSize,
                      confidenceThreshold, iouThreshold, maxInstances,
                      classIndices, returnMaskAtOriginalResolution);
 }
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/InstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
similarity index 58%
rename from packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/InstanceSegmentation.h
rename to packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index d7ed25132c..36174c2880 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/InstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -3,6 +3,7 @@
 #include <executorch/extension/tensor/tensor_ptr.h>
 #include <executorch/runtime/core/evalue.h>
 #include <opencv2/opencv.hpp>
+#include <optional>
 
 #include "Types.h"
 #include "rnexecutorch/metaprogramming/ConstructorHelpers.h"
@@ -13,16 +14,19 @@ namespace models::instance_segmentation {
 using executorch::extension::TensorPtr;
 using executorch::runtime::EValue;
 
-class InstanceSegmentation : public BaseModel {
+class BaseInstanceSegmentation : public BaseModel {
 public:
-  InstanceSegmentation(const std::string &modelSource,
-                       std::shared_ptr<react::CallInvoker> callInvoker);
+  BaseInstanceSegmentation(const std::string &modelSource,
+                           const std::string &postprocessorType,
+                           std::vector<float> normMean,
+                           std::vector<float> normStd, bool applyNMS,
+                           std::shared_ptr<react::CallInvoker> callInvoker);
 
   [[nodiscard("Registered non-void function")]] std::vector<types::InstanceMask>
   generate(std::string imageSource, double confidenceThreshold,
            double iouThreshold, int maxInstances,
            std::vector<int32_t> classIndices,
-           bool returnMaskAtOriginalResolution, std::string methodName);
+           bool returnMaskAtOriginalResolution, int32_t inputSize);
 
 private:
   std::vector<types::InstanceMask>
@@ -39,10 +43,21 @@ class InstanceSegmentation : public BaseModel {
   nonMaxSuppression(std::vector<types::InstanceMask> instances,
                     double iouThreshold);
 
+  std::string getMethodName(int32_t inputSize) const {
+    return "forward_" + std::to_string(inputSize);
+  }
+
+  // Member variables
+  std::string postprocessorType_;
+  std::optional<cv::Scalar> normMean_;
+  std::optional<cv::Scalar> normStd_;
+  bool applyNMS_;
   cv::Size modelImageSize{0, 0};
 };
 } // namespace models::instance_segmentation
 
-REGISTER_CONSTRUCTOR(models::instance_segmentation::InstanceSegmentation,
-                     std::string, std::shared_ptr<react::CallInvoker>);
+REGISTER_CONSTRUCTOR(models::instance_segmentation::BaseInstanceSegmentation,
+                     std::string, std::string, std::vector<float>,
+                     std::vector<float>, bool,
+                     std::shared_ptr<react::CallInvoker>);
 } // namespace rnexecutorch
diff --git a/packages/react-native-executorch/src/index.ts b/packages/react-native-executorch/src/index.ts
index 8bad010c93..1a5f16b08f 100644
--- a/packages/react-native-executorch/src/index.ts
+++ b/packages/react-native-executorch/src/index.ts
@@ -44,7 +44,13 @@ declare global {
     allClasses: string[]
   ) => Promise<any>;
   var loadClassification: (source: string) => Promise<any>;
-  var loadInstanceSegmentation: (source: string) => any;
+  var loadInstanceSegmentation: (
+    source: string,
+    postprocessorType: string,
+    normMean: number[] | [],
+    normStd: number[] | [],
+    applyNMS: boolean
+  ) => any;
   var loadObjectDetection: (
     source: string,
     normMean: Triple<number> | [],
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index b6f041505e..1004118a9c 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -155,7 +155,7 @@ export class InstanceSegmentationModule<
     onDownloadProgress: (progress: number) => void = () => {}
   ): Promise<InstanceSegmentationModule<InstanceModelNameOf<C>>> {
     const { modelName, modelSource } = config;
-    const { labelMap } = ModelConfigs[modelName];
+    const modelConfig = ModelConfigs[modelName];
 
     const paths = await ResourceFetcher.fetch(onDownloadProgress, modelSource);
     if (!paths?.[0]) {
@@ -172,10 +172,20 @@ export class InstanceSegmentationModule<
       );
     }
 
-    const nativeModule = global.loadInstanceSegmentation(paths[0]);
+    // Pass config parameters to native module
+    const nativeModule = global.loadInstanceSegmentation(
+      paths[0],
+      modelConfig.postprocessorConfig.type,
+      modelConfig.preprocessorConfig?.normMean || [],
+      modelConfig.preprocessorConfig?.normStd || [],
+      true // applyNMS - always true for now
+    );
 
     return new InstanceSegmentationModule<InstanceModelNameOf<C>>(
-      labelMap as ResolveLabels<InstanceModelNameOf<C>>,
+      modelConfig.labelMap as ResolveLabels<InstanceModelNameOf<C>>,
+      modelConfig as InstanceSegmentationConfig<
+        ResolveLabels<InstanceModelNameOf<C>>
+      >,
       nativeModule
     );
   }
@@ -211,10 +221,25 @@ export class InstanceSegmentationModule<
       );
     }
 
-    const nativeModule = global.loadInstanceSegmentation(paths[0]);
+    if (typeof global.loadInstanceSegmentation !== 'function') {
+      throw new RnExecutorchError(
+        RnExecutorchErrorCode.ModuleNotLoaded,
+        `global.loadInstanceSegmentation is not available`
+      );
+    }
+
+    // Pass config parameters to native module
+    const nativeModule = global.loadInstanceSegmentation(
+      paths[0],
+      config.postprocessorConfig.type,
+      config.preprocessorConfig?.normMean || [],
+      config.preprocessorConfig?.normStd || [],
+      true // applyNMS - always true for now
+    );
 
     return new InstanceSegmentationModule<L>(
       config.labelMap as ResolveLabels<L>,
+      config as InstanceSegmentationConfig<ResolveLabels<L>>,
       nativeModule
     );
   }
@@ -238,13 +263,33 @@ export class InstanceSegmentationModule<
       );
     }
 
-    // Extract options with defaults
-    const confidenceThreshold = options?.confidenceThreshold ?? 0.5;
-    const iouThreshold = options?.iouThreshold ?? 0.45;
+    // Extract options with defaults from config
+    const confidenceThreshold =
+      options?.confidenceThreshold ??
+      this.modelConfig.postprocessorConfig.defaultConfidenceThreshold ??
+      0.5;
+    const iouThreshold =
+      options?.iouThreshold ??
+      this.modelConfig.postprocessorConfig.defaultIouThreshold ??
+      0.45;
     const maxInstances = options?.maxInstances ?? 100;
     const returnMaskAtOriginalResolution =
       options?.returnMaskAtOriginalResolution ?? true;
-    const methodName = options?.methodName ?? 'forward_512';
+
+    // Get inputSize from options or use default
+    const inputSize = options?.inputSize ?? this.modelConfig.defaultInputSize;
+
+    // Validate inputSize against available sizes
+    if (
+      !this.modelConfig.availableInputSizes.includes(
+        inputSize as (typeof this.modelConfig.availableInputSizes)[number]
+      )
+    ) {
+      throw new RnExecutorchError(
+        RnExecutorchErrorCode.InvalidArgument,
+        `Invalid inputSize: ${inputSize}. Available sizes: ${this.modelConfig.availableInputSizes.join(', ')}`
+      );
+    }
 
     // Convert classesOfInterest labels to indices
     const classIndices = options?.classesOfInterest
@@ -262,7 +307,7 @@ export class InstanceSegmentationModule<
       maxInstances,
       classIndices,
       returnMaskAtOriginalResolution,
-      methodName
+      inputSize // Pass inputSize as number instead of methodName as string
     );
 
     // Convert label indices back to label names

From fb870cb7a92d04596c759f5be533cfc7d6bc3777 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Fri, 27 Feb 2026 13:03:34 +0100
Subject: [PATCH 06/56] Update instance segmentaiton demo app

---
 apps/computer-vision/app/_layout.tsx          |   8 +
 .../app/instance_segmentation/index.tsx       | 738 ++++--------------
 .../BaseInstanceSegmentation.cpp              |   4 -
 .../InstanceSegmentationModule.ts             |  98 +--
 .../src/types/instanceSegmentation.ts         |  32 +-
 5 files changed, 181 insertions(+), 699 deletions(-)

diff --git a/apps/computer-vision/app/_layout.tsx b/apps/computer-vision/app/_layout.tsx
index cac2692f07..8278b323d9 100644
--- a/apps/computer-vision/app/_layout.tsx
+++ b/apps/computer-vision/app/_layout.tsx
@@ -84,6 +84,14 @@ export default function _layout() {
             headerTitleStyle: { color: ColorPalette.primary },
           }}
         />
+        <Drawer.Screen
+          name="instance_segmentation/index"
+          options={{
+            drawerLabel: 'Instance Segmentation',
+            title: 'Instance Segmentation',
+            headerTitleStyle: { color: ColorPalette.primary },
+          }}
+        />
         <Drawer.Screen
           name="object_detection/index"
           options={{
diff --git a/apps/computer-vision/app/instance_segmentation/index.tsx b/apps/computer-vision/app/instance_segmentation/index.tsx
index 3ac79b79b3..4051307b91 100644
--- a/apps/computer-vision/app/instance_segmentation/index.tsx
+++ b/apps/computer-vision/app/instance_segmentation/index.tsx
@@ -10,10 +10,7 @@ import {
   ColorType,
   SkImage,
   Rect,
-  Paint,
   Group,
-  Text as SkiaText,
-  matchFont,
 } from '@shopify/react-native-skia';
 import {
   View,
@@ -22,44 +19,11 @@ import {
   ScrollView,
   Text,
   TouchableOpacity,
-  Alert,
 } from 'react-native';
-import { Picker } from '@react-native-picker/picker';
 import React, { useContext, useEffect, useState } from 'react';
 import { GeneratingContext } from '../../context';
 import ScreenWrapper from '../../ScreenWrapper';
 
-// Benchmark configurations
-const IMAGE_SIZES = [
-  {
-    size: 384,
-    description: 'Baseline - Extreme low-power / simple objects',
-  },
-  {
-    size: 416,
-    description: 'Recommended - Best balance for edge (default)',
-  },
-  {
-    size: 512,
-    description: 'Good balance for accuracy',
-  },
-  { size: 640, description: 'High accuracy standard' },
-  {
-    size: 1024,
-    description: 'Maximum accuracy (optional)',
-  },
-];
-
-interface BenchmarkResult {
-  inputSize: number;
-  description: string;
-  resolution: string;
-  timeMs: number;
-  instanceCount: number;
-  success: boolean;
-  error?: string;
-}
-
 // Color palette for different instances
 const instanceColors = [
   [255, 87, 51, 180], // Red
@@ -74,10 +38,12 @@ const instanceColors = [
   [131, 51, 255, 180], // Violet
 ];
 
+// Available input sizes for YOLO models
+const AVAILABLE_INPUT_SIZES = [384, 416, 512, 640, 1024];
+
 export default function InstanceSegmentationScreen() {
   const { setGlobalGenerating } = useContext(GeneratingContext);
 
-  // TODO: Replace with actual model source when available
   const { isReady, isGenerating, downloadProgress, forward, error } =
     useInstanceSegmentation({
       model: {
@@ -91,11 +57,6 @@ export default function InstanceSegmentationScreen() {
   const [maskImages, setMaskImages] = useState<SkImage[]>([]);
   const [instances, setInstances] = useState<any[]>([]);
   const [canvasSize, setCanvasSize] = useState({ width: 0, height: 0 });
-  const [benchmarkResults, setBenchmarkResults] = useState<BenchmarkResult[]>(
-    []
-  );
-  const [isBenchmarking, setIsBenchmarking] = useState(false);
-  const [showBenchmark, setShowBenchmark] = useState(false);
   const [selectedInputSize, setSelectedInputSize] = useState(416);
 
   useEffect(() => {
@@ -114,193 +75,21 @@ export default function InstanceSegmentationScreen() {
     setInstances([]);
   };
 
-  const runBenchmark = async () => {
-    if (!imageUri || imageSize.width === 0 || imageSize.height === 0) {
-      Alert.alert('No Image', 'Please select an image first');
-      return;
-    }
-
-    setIsBenchmarking(true);
-    setShowBenchmark(true);
-    const results: BenchmarkResult[] = [];
-
-    console.log('='.repeat(60));
-    console.log('🚀 STARTING INSTANCE SEGMENTATION BENCHMARK');
-    console.log('='.repeat(60));
-    console.log(`Image: ${imageUri}`);
-    console.log(`Image Size: ${imageSize.width}x${imageSize.height}`);
-    console.log('');
-    console.log('ℹ️  NOTE: Your model may only support certain input sizes.');
-    console.log(
-      '   Methods will fail if the input size is not exported in the .pte file.'
-    );
-    console.log('');
-
-    for (const config of IMAGE_SIZES) {
-      const resolution = `${config.size}x${config.size}`;
-
-      console.log('-'.repeat(60));
-      console.log(`Testing: ${config.size}x${config.size}`);
-      console.log(`Description: ${config.description}`);
-      console.log(`Resolution: ${resolution}`);
-      console.log('-'.repeat(60));
-
-      try {
-        const startTime = performance.now();
-
-        const output = await forward(imageUri, {
-          confidenceThreshold: 0.5,
-          iouThreshold: 0.45,
-          maxInstances: 20,
-          returnMaskAtOriginalResolution: true,
-          inputSize: config.size,
-        });
-
-        const endTime = performance.now();
-        const timeMs = endTime - startTime;
-
-        console.log(`✅ SUCCESS`);
-        console.log(`⏱️  Time: ${timeMs.toFixed(2)} ms`);
-        console.log(`📊 Instances detected: ${output.length}`);
-        console.log('');
-
-        results.push({
-          inputSize: config.size,
-          description: config.description,
-          resolution,
-          timeMs,
-          instanceCount: output.length,
-          success: true,
-        });
-
-        // Update UI with the last result
-        if (config.size === IMAGE_SIZES[IMAGE_SIZES.length - 1].size) {
-          setInstances(output);
-          // Create Skia images for visualization
-          const images: SkImage[] = [];
-          for (let i = 0; i < output.length; i++) {
-            const instance = output[i];
-            const color = instanceColors[i % instanceColors.length];
-
-            const pixels = new Uint8Array(
-              instance.maskWidth * instance.maskHeight * 4
-            );
-
-            for (let j = 0; j < instance.mask.length; j++) {
-              if (instance.mask[j] > 0) {
-                pixels[j * 4] = color[0];
-                pixels[j * 4 + 1] = color[1];
-                pixels[j * 4 + 2] = color[2];
-                pixels[j * 4 + 3] = color[3];
-              } else {
-                pixels[j * 4 + 3] = 0;
-              }
-            }
-
-            const data = Skia.Data.fromBytes(pixels);
-            const img = Skia.Image.MakeImage(
-              {
-                width: instance.maskWidth,
-                height: instance.maskHeight,
-                alphaType: AlphaType.Premul,
-                colorType: ColorType.RGBA_8888,
-              },
-              data,
-              instance.maskWidth * 4
-            );
-
-            if (img) {
-              images.push(img);
-            }
-          }
-          setMaskImages(images);
-        }
-      } catch (e: any) {
-        console.log(`❌ FAILED`);
-        console.log(`Error: ${e.message || e}`);
-        console.log('');
-
-        results.push({
-          inputSize: config.size,
-          description: config.description,
-          resolution,
-          timeMs: 0,
-          instanceCount: 0,
-          success: false,
-          error: e.message || 'Unknown error',
-        });
-      }
-    }
-
-    console.log('='.repeat(60));
-    console.log('📈 BENCHMARK SUMMARY');
-    console.log('='.repeat(60));
-
-    const successfulRuns = results.filter((r) => r.success);
-    if (successfulRuns.length > 0) {
-      const fastest = successfulRuns.reduce((prev, curr) =>
-        curr.timeMs < prev.timeMs ? curr : prev
-      );
-      const slowest = successfulRuns.reduce((prev, curr) =>
-        curr.timeMs > prev.timeMs ? curr : prev
-      );
-      const avgTime =
-        successfulRuns.reduce((sum, r) => sum + r.timeMs, 0) /
-        successfulRuns.length;
-
-      console.log(
-        `⚡ Fastest: ${fastest.inputSize}x${fastest.inputSize} - ${fastest.timeMs.toFixed(2)} ms`
-      );
-      console.log(
-        `🐌 Slowest: ${slowest.inputSize}x${slowest.inputSize} - ${slowest.timeMs.toFixed(2)} ms`
-      );
-      console.log(`📊 Average: ${avgTime.toFixed(2)} ms`);
-      console.log(
-        `✅ Success rate: ${successfulRuns.length}/${results.length}`
-      );
-    }
-    console.log('='.repeat(60));
-    console.log('');
-
-    setBenchmarkResults(results);
-    setIsBenchmarking(false);
-  };
-
   const runForward = async () => {
-    if (!imageUri || imageSize.width === 0 || imageSize.height === 0) {
-      return;
-    }
+    if (!imageUri || imageSize.width === 0 || imageSize.height === 0) return;
 
     try {
-      console.log(
-        `Running ${selectedInputSize}x${selectedInputSize} with image:`,
-        imageUri
-      );
-      const startTime = performance.now();
       const output = await forward(imageUri, {
         confidenceThreshold: 0.5,
-        iouThreshold: 0.55,
+        iouThreshold: 0.45,
         maxInstances: 20,
         returnMaskAtOriginalResolution: true,
         inputSize: selectedInputSize,
       });
-      const endTime = performance.now();
-      console.log(
-        `✅ ${selectedInputSize}x${selectedInputSize} succeeded in ${(endTime - startTime).toFixed(2)}ms - detected ${output.length} instances`
-      );
 
-      // Debug: log first instance structure
+      // Debug: Check if labels are present
       if (output.length > 0) {
-        console.log(
-          'First instance:',
-          JSON.stringify({
-            label: output[0].label,
-            score: output[0].score,
-            bbox: output[0].bbox,
-            maskWidth: output[0].maskWidth,
-            maskHeight: output[0].maskHeight,
-          })
-        );
+        console.log('First instance label:', output[0].label);
       }
 
       setInstances(output);
@@ -311,7 +100,6 @@ export default function InstanceSegmentationScreen() {
         const instance = output[i];
         const color = instanceColors[i % instanceColors.length];
 
-        // Create colored mask
         const pixels = new Uint8Array(
           instance.maskWidth * instance.maskHeight * 4
         );
@@ -321,9 +109,9 @@ export default function InstanceSegmentationScreen() {
             pixels[j * 4] = color[0];
             pixels[j * 4 + 1] = color[1];
             pixels[j * 4 + 2] = color[2];
-            pixels[j * 4 + 3] = color[3]; // Alpha for transparency
+            pixels[j * 4 + 3] = color[3];
           } else {
-            pixels[j * 4 + 3] = 0; // Fully transparent
+            pixels[j * 4 + 3] = 0;
           }
         }
 
@@ -346,11 +134,10 @@ export default function InstanceSegmentationScreen() {
 
       setMaskImages(images);
     } catch (e) {
-      console.error('Instance segmentation error:', e);
+      console.error(e);
     }
   };
 
-  // Show error if loading failed
   if (!isReady && error) {
     return (
       <ScreenWrapper>
@@ -374,7 +161,6 @@ export default function InstanceSegmentationScreen() {
     );
   }
 
-  // Calculate scale factor for bounding boxes
   const scaleX = canvasSize.width / (imageSize.width || 1);
   const scaleY = canvasSize.height / (imageSize.height || 1);
   const scale = Math.min(scaleX, scaleY);
@@ -383,7 +169,6 @@ export default function InstanceSegmentationScreen() {
     <ScreenWrapper>
       <View style={styles.container}>
         <View style={styles.imageCanvasContainer}>
-          {/* Base image */}
           <View style={styles.imageContainer}>
             <Image
               style={styles.image}
@@ -396,7 +181,6 @@ export default function InstanceSegmentationScreen() {
             />
           </View>
 
-          {/* Overlay masks and bounding boxes */}
           {maskImages.length > 0 && (
             <View
               style={styles.canvasContainer}
@@ -408,7 +192,6 @@ export default function InstanceSegmentationScreen() {
               }
             >
               <Canvas style={styles.canvas}>
-                {/* Render masks */}
                 {maskImages.map((maskImg, idx) => (
                   <SkiaImage
                     key={`mask-${idx}`}
@@ -421,7 +204,6 @@ export default function InstanceSegmentationScreen() {
                   />
                 ))}
 
-                {/* Render bounding boxes and labels */}
                 {instances.map((instance, idx) => {
                   const color = instanceColors[idx % instanceColors.length];
                   const offsetX =
@@ -436,23 +218,6 @@ export default function InstanceSegmentationScreen() {
                   const bboxHeight =
                     (instance.bbox.y2 - instance.bbox.y1) * scale;
 
-                  const labelText = `${instance.label} ${(instance.score * 100).toFixed(0)}%`;
-                  const font = matchFont({
-                    fontFamily: 'System',
-                    fontSize: 14,
-                    fontWeight: 'bold',
-                  });
-
-                  // Calculate text width with fallback
-                  let textWidth = 100; // Default width
-                  if (font) {
-                    try {
-                      textWidth = font.getTextWidth(labelText);
-                    } catch (e) {
-                      console.warn('Failed to calculate text width:', e);
-                    }
-                  }
-
                   return (
                     <Group key={`bbox-${idx}`}>
                       {/* Bounding box */}
@@ -462,73 +227,71 @@ export default function InstanceSegmentationScreen() {
                         width={bboxWidth}
                         height={bboxHeight}
                         style="stroke"
-                        strokeWidth={3}
-                        color={`rgb(${color[0]}, ${color[1]}, ${color[2]})`}
+                        strokeWidth={2}
+                        color={`rgba(${color[0]}, ${color[1]}, ${color[2]}, 1)`}
                       />
-                      {/* Label background */}
-                      {font && (
-                        <Rect
-                          x={bboxX}
-                          y={bboxY - 26}
-                          width={textWidth + 16}
-                          height={26}
-                          color={`rgba(${color[0]}, ${color[1]}, ${color[2]}, 0.9)`}
-                        />
-                      )}
-                      {/* Label text */}
-                      {font && (
-                        <SkiaText
-                          x={bboxX + 8}
-                          y={bboxY - 8}
-                          text={labelText}
-                          font={font}
-                          color="white"
-                        />
-                      )}
                     </Group>
                   );
                 })}
               </Canvas>
+
+              {/* Labels using React Native Text - positioned absolutely */}
+              {instances.map((instance, idx) => {
+                const color = instanceColors[idx % instanceColors.length];
+                const offsetX =
+                  (canvasSize.width - imageSize.width * scale) / 2;
+                const offsetY =
+                  (canvasSize.height - imageSize.height * scale) / 2;
+
+                const bboxX = instance.bbox.x1 * scale + offsetX;
+                const bboxY = instance.bbox.y1 * scale + offsetY;
+
+                const labelText = `${instance.label || 'Unknown'} ${(instance.score * 100).toFixed(0)}%`;
+
+                return (
+                  <View
+                    key={`label-${idx}`}
+                    style={[
+                      styles.labelContainer,
+                      {
+                        left: bboxX,
+                        top: bboxY - 20,
+                        backgroundColor: `rgba(${color[0]}, ${color[1]}, ${color[2]}, 0.9)`,
+                      },
+                    ]}
+                  >
+                    <Text style={styles.labelText}>{labelText}</Text>
+                  </View>
+                );
+              })}
             </View>
           )}
         </View>
 
-        {/* Method selector */}
         {imageUri && (
-          <View style={styles.methodSelectorContainer}>
-            <Text style={styles.methodSelectorLabel}>Input Size:</Text>
+          <View style={styles.inputSizeContainer}>
+            <Text style={styles.inputSizeLabel}>Input Size:</Text>
             <ScrollView
               horizontal
               showsHorizontalScrollIndicator={false}
-              style={styles.methodButtonsContainer}
+              style={styles.inputSizeScroll}
             >
-              {[
-                { label: '384', value: 384 },
-                { label: '416', value: 416 },
-                { label: '512', value: 512 },
-                { label: '640', value: 640 },
-                { label: '1024', value: 1024 },
-              ].map((sizeOption) => (
+              {AVAILABLE_INPUT_SIZES.map((size) => (
                 <TouchableOpacity
-                  key={sizeOption.value}
+                  key={size}
                   style={[
-                    styles.methodButton,
-                    selectedInputSize === sizeOption.value &&
-                      styles.methodButtonActive,
+                    styles.sizeButton,
+                    selectedInputSize === size && styles.sizeButtonActive,
                   ]}
-                  onPress={() => {
-                    console.log(`Selected input size: ${sizeOption.value}`);
-                    setSelectedInputSize(sizeOption.value);
-                  }}
+                  onPress={() => setSelectedInputSize(size)}
                 >
                   <Text
                     style={[
-                      styles.methodButtonText,
-                      selectedInputSize === sizeOption.value &&
-                        styles.methodButtonTextActive,
+                      styles.sizeButtonText,
+                      selectedInputSize === size && styles.sizeButtonTextActive,
                     ]}
                   >
-                    {sizeOption.label}
+                    {size}
                   </Text>
                 </TouchableOpacity>
               ))}
@@ -536,75 +299,7 @@ export default function InstanceSegmentationScreen() {
           </View>
         )}
 
-        {/* Benchmark button */}
-        {imageUri && (
-          <View style={styles.benchmarkButtonContainer}>
-            <TouchableOpacity
-              style={[
-                styles.benchmarkButton,
-                isBenchmarking && styles.benchmarkButtonDisabled,
-              ]}
-              onPress={runBenchmark}
-              disabled={isBenchmarking}
-            >
-              <Text style={styles.benchmarkButtonText}>
-                {isBenchmarking
-                  ? '⏳ Running Benchmark...'
-                  : '🚀 Run Benchmark (All Methods)'}
-              </Text>
-            </TouchableOpacity>
-          </View>
-        )}
-
-        {/* Benchmark Results */}
-        {showBenchmark && benchmarkResults.length > 0 && (
-          <View style={styles.benchmarkContainer}>
-            <Text style={styles.benchmarkHeader}>
-              🏁 Benchmark Results (
-              {benchmarkResults.filter((r) => r.success).length}/
-              {benchmarkResults.length} successful)
-            </Text>
-            <ScrollView style={styles.benchmarkList}>
-              {benchmarkResults.map((result, idx) => (
-                <View
-                  key={idx}
-                  style={[
-                    styles.benchmarkRow,
-                    !result.success && styles.benchmarkRowError,
-                  ]}
-                >
-                  <View style={styles.benchmarkRowHeader}>
-                    <Text style={styles.benchmarkMethod}>
-                      {result.success ? '✅' : '❌'} {result.inputSize}x
-                      {result.inputSize}
-                    </Text>
-                    <Text style={styles.benchmarkResolution}>
-                      {result.resolution}
-                    </Text>
-                  </View>
-                  <Text style={styles.benchmarkDescription}>
-                    {result.description}
-                  </Text>
-                  {result.success ? (
-                    <View style={styles.benchmarkStats}>
-                      <Text style={styles.benchmarkTime}>
-                        ⏱️ {result.timeMs.toFixed(2)} ms
-                      </Text>
-                      <Text style={styles.benchmarkInstances}>
-                        📊 {result.instanceCount} instances
-                      </Text>
-                    </View>
-                  ) : (
-                    <Text style={styles.benchmarkError}>{result.error}</Text>
-                  )}
-                </View>
-              ))}
-            </ScrollView>
-          </View>
-        )}
-
-        {/* Results list */}
-        {instances.length > 0 && !showBenchmark && (
+        {instances.length > 0 && (
           <View style={styles.resultsContainer}>
             <Text style={styles.resultsHeader}>
               Detected {instances.length} instance(s)
@@ -623,7 +318,8 @@ export default function InstanceSegmentationScreen() {
                       ]}
                     />
                     <Text style={styles.resultText}>
-                      {instance.label} ({(instance.score * 100).toFixed(1)}%)
+                      {instance.label || 'Unknown'} (
+                      {(instance.score * 100).toFixed(1)}%)
                     </Text>
                   </View>
                 );
@@ -645,26 +341,20 @@ const styles = StyleSheet.create({
   container: {
     flex: 6,
     width: '100%',
-    backgroundColor: '#f8f9fa',
   },
   imageCanvasContainer: {
     flex: 1,
     width: '100%',
-    padding: 20,
+    padding: 16,
   },
   imageContainer: {
     position: 'absolute',
-    top: 20,
-    left: 20,
-    right: 20,
-    bottom: 20,
-    borderRadius: 24,
+    top: 16,
+    left: 16,
+    right: 16,
+    bottom: 16,
+    borderRadius: 8,
     overflow: 'hidden',
-    shadowColor: '#000',
-    shadowOffset: { width: 0, height: 8 },
-    shadowOpacity: 0.15,
-    shadowRadius: 24,
-    elevation: 12,
   },
   image: {
     width: '100%',
@@ -674,32 +364,71 @@ const styles = StyleSheet.create({
     flex: 1,
     justifyContent: 'center',
     alignItems: 'center',
-    borderRadius: 24,
+    borderRadius: 8,
     overflow: 'hidden',
   },
   canvas: {
     width: '100%',
     height: '100%',
   },
+  labelContainer: {
+    position: 'absolute',
+    paddingHorizontal: 6,
+    paddingVertical: 2,
+    borderRadius: 4,
+  },
+  labelText: {
+    color: 'white',
+    fontSize: 12,
+    fontWeight: '600',
+  },
+  inputSizeContainer: {
+    paddingHorizontal: 16,
+    paddingVertical: 12,
+    backgroundColor: '#fff',
+    borderTopWidth: 1,
+    borderTopColor: '#e0e0e0',
+  },
+  inputSizeLabel: {
+    fontSize: 14,
+    fontWeight: '600',
+    color: '#333',
+    marginBottom: 8,
+  },
+  inputSizeScroll: {
+    flexDirection: 'row',
+  },
+  sizeButton: {
+    paddingHorizontal: 16,
+    paddingVertical: 8,
+    marginRight: 8,
+    borderRadius: 6,
+    backgroundColor: '#f0f0f0',
+  },
+  sizeButtonActive: {
+    backgroundColor: '#007AFF',
+  },
+  sizeButtonText: {
+    fontSize: 14,
+    fontWeight: '600',
+    color: '#666',
+  },
+  sizeButtonTextActive: {
+    color: '#fff',
+  },
   resultsContainer: {
     maxHeight: 200,
-    paddingHorizontal: 20,
-    paddingVertical: 16,
-    backgroundColor: 'rgba(255, 255, 255, 0.95)',
-    borderTopLeftRadius: 24,
-    borderTopRightRadius: 24,
-    shadowColor: '#000',
-    shadowOffset: { width: 0, height: -4 },
-    shadowOpacity: 0.1,
-    shadowRadius: 12,
-    elevation: 8,
+    paddingHorizontal: 16,
+    paddingVertical: 12,
+    backgroundColor: '#fff',
+    borderTopWidth: 1,
+    borderTopColor: '#e0e0e0',
   },
   resultsHeader: {
-    fontSize: 18,
-    fontWeight: '700',
-    marginBottom: 12,
-    color: '#1a1a1a',
-    letterSpacing: -0.5,
+    fontSize: 16,
+    fontWeight: '600',
+    marginBottom: 8,
+    color: '#333',
   },
   resultsList: {
     flex: 1,
@@ -707,239 +436,44 @@ const styles = StyleSheet.create({
   resultRow: {
     flexDirection: 'row',
     alignItems: 'center',
-    paddingVertical: 8,
-    paddingHorizontal: 12,
-    marginBottom: 6,
-    backgroundColor: 'rgba(255, 255, 255, 0.8)',
-    borderRadius: 12,
-    shadowColor: '#000',
-    shadowOffset: { width: 0, height: 2 },
-    shadowOpacity: 0.05,
-    shadowRadius: 4,
-    elevation: 2,
+    paddingVertical: 6,
+    paddingHorizontal: 8,
+    marginBottom: 4,
+    backgroundColor: '#f9f9f9',
+    borderRadius: 6,
   },
   colorBox: {
-    width: 24,
-    height: 24,
-    borderRadius: 8,
-    marginRight: 12,
-    shadowColor: '#000',
-    shadowOffset: { width: 0, height: 2 },
-    shadowOpacity: 0.2,
-    shadowRadius: 4,
-    elevation: 3,
+    width: 20,
+    height: 20,
+    borderRadius: 4,
+    marginRight: 10,
   },
   resultText: {
-    fontSize: 15,
-    fontWeight: '600',
-    color: '#2c3e50',
-    letterSpacing: -0.3,
+    fontSize: 14,
+    fontWeight: '500',
+    color: '#333',
   },
   errorContainer: {
     flex: 1,
     justifyContent: 'center',
     alignItems: 'center',
     padding: 32,
-    backgroundColor: '#f8f9fa',
   },
   errorTitle: {
-    fontSize: 24,
+    fontSize: 20,
     fontWeight: '700',
     color: '#e74c3c',
-    marginBottom: 16,
-    letterSpacing: -0.5,
+    marginBottom: 12,
   },
   errorText: {
-    fontSize: 16,
-    color: '#34495e',
+    fontSize: 14,
+    color: '#555',
     textAlign: 'center',
-    marginBottom: 12,
-    lineHeight: 24,
-  },
-  errorCode: {
-    fontSize: 13,
-    color: '#7f8c8d',
-    fontFamily: 'Courier',
-    backgroundColor: 'rgba(0, 0, 0, 0.05)',
-    paddingHorizontal: 12,
-    paddingVertical: 6,
-    borderRadius: 8,
-  },
-  benchmarkButtonContainer: {
-    paddingHorizontal: 20,
-    paddingVertical: 16,
-    backgroundColor: 'rgba(255, 255, 255, 0.95)',
-    borderTopLeftRadius: 24,
-    borderTopRightRadius: 24,
-    shadowColor: '#000',
-    shadowOffset: { width: 0, height: -4 },
-    shadowOpacity: 0.1,
-    shadowRadius: 12,
-    elevation: 8,
-  },
-  benchmarkButton: {
-    backgroundColor: '#667eea',
-    paddingVertical: 16,
-    paddingHorizontal: 24,
-    borderRadius: 16,
-    alignItems: 'center',
-    shadowColor: '#667eea',
-    shadowOffset: { width: 0, height: 4 },
-    shadowOpacity: 0.3,
-    shadowRadius: 8,
-    elevation: 6,
-  },
-  benchmarkButtonDisabled: {
-    backgroundColor: '#a8b5f0',
-    shadowOpacity: 0.15,
-  },
-  benchmarkButtonText: {
-    color: '#fff',
-    fontSize: 16,
-    fontWeight: '700',
-    letterSpacing: -0.3,
-  },
-  benchmarkContainer: {
-    maxHeight: 320,
-    paddingHorizontal: 20,
-    paddingVertical: 20,
-    backgroundColor: 'rgba(255, 255, 255, 0.95)',
-    borderTopLeftRadius: 24,
-    borderTopRightRadius: 24,
-    shadowColor: '#000',
-    shadowOffset: { width: 0, height: -4 },
-    shadowOpacity: 0.1,
-    shadowRadius: 12,
-    elevation: 8,
-  },
-  benchmarkHeader: {
-    fontSize: 20,
-    fontWeight: '700',
-    marginBottom: 16,
-    color: '#667eea',
-    letterSpacing: -0.5,
-  },
-  benchmarkList: {
-    flex: 1,
-  },
-  benchmarkRow: {
-    backgroundColor: 'rgba(102, 126, 234, 0.05)',
-    padding: 16,
-    borderRadius: 16,
-    marginBottom: 10,
-    borderLeftWidth: 4,
-    borderLeftColor: '#10b981',
-    shadowColor: '#000',
-    shadowOffset: { width: 0, height: 2 },
-    shadowOpacity: 0.05,
-    shadowRadius: 6,
-    elevation: 2,
-  },
-  benchmarkRowError: {
-    backgroundColor: 'rgba(239, 68, 68, 0.08)',
-    borderLeftColor: '#ef4444',
-  },
-  benchmarkRowHeader: {
-    flexDirection: 'row',
-    justifyContent: 'space-between',
-    alignItems: 'center',
-    marginBottom: 6,
-  },
-  benchmarkMethod: {
-    fontSize: 17,
-    fontWeight: '700',
-    color: '#1a1a1a',
-    letterSpacing: -0.3,
-  },
-  benchmarkResolution: {
-    fontSize: 13,
-    color: '#6b7280',
-    fontFamily: 'Courier',
-    backgroundColor: 'rgba(0, 0, 0, 0.05)',
-    paddingHorizontal: 8,
-    paddingVertical: 3,
-    borderRadius: 6,
-  },
-  benchmarkDescription: {
-    fontSize: 13,
-    color: '#6b7280',
     marginBottom: 8,
-    lineHeight: 18,
-  },
-  benchmarkStats: {
-    flexDirection: 'row',
-    justifyContent: 'space-between',
-    alignItems: 'center',
-  },
-  benchmarkTime: {
-    fontSize: 15,
-    fontWeight: '700',
-    color: '#10b981',
-    fontFamily: 'Courier',
   },
-  benchmarkInstances: {
-    fontSize: 15,
-    fontWeight: '600',
-    color: '#667eea',
-  },
-  benchmarkError: {
-    fontSize: 13,
-    color: '#ef4444',
+  errorCode: {
+    fontSize: 12,
+    color: '#999',
     fontFamily: 'Courier',
-    backgroundColor: 'rgba(239, 68, 68, 0.1)',
-    paddingHorizontal: 8,
-    paddingVertical: 4,
-    borderRadius: 6,
-  },
-  methodSelectorContainer: {
-    paddingHorizontal: 20,
-    paddingTop: 16,
-    paddingBottom: 12,
-    backgroundColor: 'rgba(255, 255, 255, 0.95)',
-    borderTopLeftRadius: 24,
-    borderTopRightRadius: 24,
-    shadowColor: '#000',
-    shadowOffset: { width: 0, height: -4 },
-    shadowOpacity: 0.1,
-    shadowRadius: 12,
-    elevation: 8,
-  },
-  methodSelectorLabel: {
-    fontSize: 17,
-    fontWeight: '700',
-    color: '#1a1a1a',
-    marginBottom: 12,
-    letterSpacing: -0.3,
-  },
-  methodButtonsContainer: {
-    flexDirection: 'row',
-  },
-  methodButton: {
-    paddingHorizontal: 22,
-    paddingVertical: 12,
-    marginRight: 10,
-    borderRadius: 14,
-    backgroundColor: 'rgba(102, 126, 234, 0.1)',
-    shadowColor: '#667eea',
-    shadowOffset: { width: 0, height: 2 },
-    shadowOpacity: 0.1,
-    shadowRadius: 4,
-    elevation: 2,
-  },
-  methodButtonActive: {
-    backgroundColor: '#667eea',
-    shadowOpacity: 0.3,
-    shadowRadius: 8,
-    elevation: 4,
-    transform: [{ scale: 1.05 }],
-  },
-  methodButtonText: {
-    fontSize: 15,
-    fontWeight: '700',
-    color: '#667eea',
-    letterSpacing: -0.3,
-  },
-  methodButtonTextActive: {
-    color: '#fff',
   },
 });
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index 375abc3c68..18719c6864 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -295,10 +295,6 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::generate(
   std::string methodName = getMethodName(inputSize);
   cv::Size modelInputSize(inputSize, inputSize);
 
-  std::cout << "[InstanceSeg] Using method: " << methodName
-            << " with input size: " << inputSize << "x" << inputSize
-            << std::endl;
-
   // Create input shape
   std::vector<int32_t> inputShape = {1, 3, inputSize, inputSize};
 
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index 1004118a9c..ef1d43c2a1 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -5,7 +5,7 @@ import {
   InstanceSegmentationConfig,
   InstanceSegmentationModelName,
   InstanceModelNameOf,
-  GenericInstanceMask,
+  SegmentedInstance,
   InstanceSegmentationOptions,
 } from '../../types/instanceSegmentation';
 import { CocoLabel } from '../../types/objectDetection';
@@ -13,71 +13,24 @@ import { RnExecutorchErrorCode } from '../../errors/ErrorCodes';
 import { RnExecutorchError } from '../../errors/errorUtils';
 import { BaseModule } from '../BaseModule';
 
-const ModelConfigs = {
-  'yolo26n-seg': {
-    labelMap: CocoLabel,
-    availableInputSizes: [384, 416, 512, 640, 1024] as const,
-    defaultInputSize: 416,
-    postprocessorConfig: {
-      type: 'yolo' as const,
-      defaultConfidenceThreshold: 0.5,
-      defaultIouThreshold: 0.45,
-    },
-  },
-  'yolo26s-seg': {
-    labelMap: CocoLabel,
-    availableInputSizes: [384, 416, 512, 640, 1024] as const,
-    defaultInputSize: 416,
-    postprocessorConfig: {
-      type: 'yolo' as const,
-      defaultConfidenceThreshold: 0.5,
-      defaultIouThreshold: 0.45,
-    },
-  },
-  'yolo26m-seg': {
-    labelMap: CocoLabel,
-    availableInputSizes: [384, 416, 512, 640, 1024] as const,
-    defaultInputSize: 416,
-    postprocessorConfig: {
-      type: 'yolo' as const,
-      defaultConfidenceThreshold: 0.5,
-      defaultIouThreshold: 0.45,
-    },
-  },
-  'yolo26l-seg': {
-    labelMap: CocoLabel,
-    availableInputSizes: [384, 416, 512, 640, 1024] as const,
-    defaultInputSize: 416,
-    postprocessorConfig: {
-      type: 'yolo' as const,
-      defaultConfidenceThreshold: 0.5,
-      defaultIouThreshold: 0.45,
-    },
-  },
-  'yolo26x-seg': {
-    labelMap: CocoLabel,
-    availableInputSizes: [384, 416, 512, 640, 1024] as const,
-    defaultInputSize: 416,
-    postprocessorConfig: {
-      type: 'yolo' as const,
-      defaultConfidenceThreshold: 0.5,
-      defaultIouThreshold: 0.45,
-    },
-  },
-  'rfdetr_seg': {
-    labelMap: CocoLabel,
-    availableInputSizes: [640, 1024] as const,
-    defaultInputSize: 640,
-    preprocessorConfig: {
-      normMean: [0.485, 0.456, 0.406] as [number, number, number],
-      normStd: [0.229, 0.224, 0.225] as [number, number, number],
-    },
-    postprocessorConfig: {
-      type: 'rfdetr' as const,
-      defaultConfidenceThreshold: 0.7,
-      defaultIouThreshold: 0.5,
-    },
+const YOLO_SEG_CONFIG = {
+  labelMap: CocoLabel,
+  availableInputSizes: [384, 416, 512, 640, 1024] as const,
+  defaultInputSize: 416,
+  postprocessorConfig: {
+    type: 'yolo' as const,
+    defaultConfidenceThreshold: 0.5,
+    defaultIouThreshold: 0.5,
+    applyNMS: true,
   },
+} as const;
+
+const ModelConfigs = {
+  'yolo26n-seg': YOLO_SEG_CONFIG,
+  'yolo26s-seg': YOLO_SEG_CONFIG,
+  'yolo26m-seg': YOLO_SEG_CONFIG,
+  'yolo26l-seg': YOLO_SEG_CONFIG,
+  'yolo26x-seg': YOLO_SEG_CONFIG,
 } as const satisfies Record<
   InstanceSegmentationModelName,
   InstanceSegmentationConfig<LabelEnum>
@@ -178,7 +131,7 @@ export class InstanceSegmentationModule<
       modelConfig.postprocessorConfig.type,
       modelConfig.preprocessorConfig?.normMean || [],
       modelConfig.preprocessorConfig?.normStd || [],
-      true // applyNMS - always true for now
+      modelConfig.postprocessorConfig.applyNMS ?? true
     );
 
     return new InstanceSegmentationModule<InstanceModelNameOf<C>>(
@@ -234,7 +187,7 @@ export class InstanceSegmentationModule<
       config.postprocessorConfig.type,
       config.preprocessorConfig?.normMean || [],
       config.preprocessorConfig?.normStd || [],
-      true // applyNMS - always true for now
+      config.postprocessorConfig.applyNMS ?? true
     );
 
     return new InstanceSegmentationModule<L>(
@@ -255,7 +208,7 @@ export class InstanceSegmentationModule<
   async forward(
     imageSource: string,
     options?: InstanceSegmentationOptions<ResolveLabels<T>>
-  ): Promise<GenericInstanceMask<ResolveLabels<T>>[]> {
+  ): Promise<SegmentedInstance<ResolveLabels<T>>[]> {
     if (this.nativeModule == null) {
       throw new RnExecutorchError(
         RnExecutorchErrorCode.ModuleNotLoaded,
@@ -267,11 +220,11 @@ export class InstanceSegmentationModule<
     const confidenceThreshold =
       options?.confidenceThreshold ??
       this.modelConfig.postprocessorConfig.defaultConfidenceThreshold ??
-      0.5;
+      0.55;
     const iouThreshold =
       options?.iouThreshold ??
       this.modelConfig.postprocessorConfig.defaultIouThreshold ??
-      0.45;
+      0.55;
     const maxInstances = options?.maxInstances ?? 100;
     const returnMaskAtOriginalResolution =
       options?.returnMaskAtOriginalResolution ?? true;
@@ -311,6 +264,7 @@ export class InstanceSegmentationModule<
     );
 
     // Convert label indices back to label names
+    // YOLO outputs 0-indexed class IDs, but COCO labels are 1-indexed, so add 1
     const reverseLabelMap = Object.entries(this.labelMap).reduce(
       (acc, [key, value]) => {
         acc[value as number] = key;
@@ -321,7 +275,7 @@ export class InstanceSegmentationModule<
 
     return nativeResult.map((instance: any) => ({
       ...instance,
-      label: reverseLabelMap[instance.label] || `UNKNOWN_${instance.label}`,
-    })) as GenericInstanceMask<ResolveLabels<T>>[];
+      label: reverseLabelMap[instance.label + 1] || `UNKNOWN_${instance.label}`,
+    })) as SegmentedInstance<ResolveLabels<T>>[];
   }
 }
diff --git a/packages/react-native-executorch/src/types/instanceSegmentation.ts b/packages/react-native-executorch/src/types/instanceSegmentation.ts
index bbd0ea7097..957a26aec4 100644
--- a/packages/react-native-executorch/src/types/instanceSegmentation.ts
+++ b/packages/react-native-executorch/src/types/instanceSegmentation.ts
@@ -3,34 +3,19 @@ import { LabelEnum, ResourceSource } from './common';
 import { Bbox, CocoLabel } from './objectDetection';
 
 /**
- * Represents a single instance in instance segmentation output.
+ * Represents a single detected instance in instance segmentation output.
  *
+ * @typeParam L - The {@link LabelEnum} type for the model.
  * @category Types
  * @property {Bbox} bbox - The bounding box of the instance.
  * @property {Uint8Array} mask - Binary mask (0 or 1) representing the instance.
  * @property {number} maskWidth - Width of the mask array.
  * @property {number} maskHeight - Height of the mask array.
- * @property {keyof typeof CocoLabel} label - The class label of the instance.
+ * @property {keyof L} label - The class label of the instance.
  * @property {number} score - Confidence score [0, 1].
  * @property {number} instanceId - Unique identifier for this instance.
  */
-export interface InstanceMask {
-  bbox: Bbox;
-  mask: Uint8Array;
-  maskWidth: number;
-  maskHeight: number;
-  label: keyof typeof CocoLabel;
-  score: number;
-  instanceId: number;
-}
-
-/**
- * Generic instance mask type for custom label maps.
- *
- * @typeParam L - The {@link LabelEnum} type for custom models.
- * @category Types
- */
-export interface GenericInstanceMask<L extends LabelEnum> {
+export interface SegmentedInstance<L extends LabelEnum> {
   bbox: Bbox;
   mask: Uint8Array;
   maskWidth: number;
@@ -74,6 +59,10 @@ export interface PostprocessorConfig {
    * Default IoU threshold for NMS for this model.
    */
   defaultIouThreshold?: number;
+  /**
+   * Whether to apply Non-Maximum Suppression (NMS). Default: true
+   */
+  applyNMS?: boolean;
 }
 
 /**
@@ -132,6 +121,7 @@ export type InstanceSegmentationConfig<T extends LabelEnum> = {
   postprocessorConfig: PostprocessorConfig;
 };
 
+/// We would bind it here - but we need a deafult conf for yolo to be applied instead of
 /**
  * Per-model config for {@link InstanceSegmentationModule.fromModelName}.
  * Each model name maps to its required fields.
@@ -159,7 +149,7 @@ export type InstanceSegmentationModelName =
  *
  * @category Types
  */
-export type InstanceModelNameOf<C extends InstanceSegmentationModelSources> =
+export type ModelNameOf<C extends InstanceSegmentationModelSources> =
   C['modelName'];
 
 /**
@@ -217,5 +207,5 @@ export interface InstanceSegmentationType<L extends LabelEnum> {
   forward: (
     imageSource: string,
     options?: InstanceSegmentationOptions<L>
-  ) => Promise<GenericInstanceMask<L>[]>;
+  ) => Promise<SegmentedInstance<L>[]>;
 }

From 701e6fda7424d2b645f4dbff341c34c3cf845a21 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 2 Mar 2026 07:19:19 +0100
Subject: [PATCH 07/56] Update api reference docs

---
 .../models/instance_segmentation/Types.h      | 26 ++++---
 .../useInstanceSegmentation.ts                | 19 +++++-
 .../InstanceSegmentationModule.ts             | 67 ++++++++++++++++---
 .../src/types/instanceSegmentation.ts         |  8 +++
 4 files changed, 96 insertions(+), 24 deletions(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
index 0235d3a823..dcda34c266 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
@@ -4,17 +4,23 @@
 
 namespace rnexecutorch::models::instance_segmentation::types {
 
+/**
+ * Represents a single detected instance in instance segmentation output.
+ *
+ * Contains bounding box coordinates, binary segmentation mask, class label,
+ * confidence score, and a unique instance identifier.
+ */
 struct InstanceMask {
-  float x1;
-  float y1;
-  float x2;
-  float y2;
-  std::vector<uint8_t> mask;
-  int maskWidth;
-  int maskHeight;
-  int label;
-  float score;
-  int instanceId;
+  float x1;                  ///< Bounding box left coordinate
+  float y1;                  ///< Bounding box top coordinate
+  float x2;                  ///< Bounding box right coordinate
+  float y2;                  ///< Bounding box bottom coordinate
+  std::vector<uint8_t> mask; ///< Binary mask (0 or 1) for the instance
+  int maskWidth;             ///< Width of the mask array
+  int maskHeight;            ///< Height of the mask array
+  int label;                 ///< Class label index
+  float score;               ///< Confidence score [0, 1]
+  int instanceId;            ///< Unique identifier for this instance
 };
 
 } // namespace rnexecutorch::models::instance_segmentation::types
diff --git a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
index 0513f6bcb2..8c7778dbb7 100644
--- a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
+++ b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
@@ -16,14 +16,27 @@ import { RnExecutorchError, parseUnknownError } from '../../errors/errorUtils';
 /**
  * React hook for managing an Instance Segmentation model instance.
  *
- * @typeParam C - A {@link InstanceSegmentationModelSources} config specifying which built-in model to load.
+ * @typeParam C - A {@link InstanceSegmentationModelSources} config specifying which model to load.
  * @param props - Configuration object containing `model` config and optional `preventLoad` flag.
  * @returns An object with model state (`error`, `isReady`, `isGenerating`, `downloadProgress`) and a typed `forward` function.
  *
  * @example
  * ```ts
- * const { isReady, forward } = useInstanceSegmentation({
- *   model: { modelName: 'yolo26n-seg', modelSource: YOLO26N_SEG },
+ * const { isReady, isGenerating, forward, error, downloadProgress } =
+ *   useInstanceSegmentation({
+ *     model: {
+ *       modelName: 'yolo26n-seg',
+ *       modelSource: 'https://huggingface.co/.../yolo26n-seg.pte',
+ *     },
+ *   });
+ *
+ * if (!isReady) {
+ *   return <Text>Loading: {(downloadProgress * 100).toFixed(0)}%</Text>;
+ * }
+ *
+ * const results = await forward('path/to/image.jpg', {
+ *   confidenceThreshold: 0.5,
+ *   inputSize: 640,
  * });
  * ```
  *
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index ef1d43c2a1..33b5f40ce5 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -60,12 +60,31 @@ type ResolveLabels<T extends InstanceSegmentationModelName | LabelEnum> =
 
 /**
  * Generic instance segmentation module with type-safe label maps.
- * Use a model name (e.g. `'yolo26n-seg'`) as the generic parameter for built-in models,
+ * Use a model name (e.g. `'yolo26n-seg'`) as the generic parameter for pre-configured models,
  * or a custom label enum for custom configs.
  *
- * @typeParam T - Either a built-in model name or a custom {@link LabelEnum} label map.
+ * Supported models (download from HuggingFace):
+ * - `yolo26n-seg`, `yolo26s-seg`, `yolo26m-seg`, `yolo26l-seg`, `yolo26x-seg` - YOLO models with COCO labels (80 classes)
+ *
+ * @typeParam T - Either a pre-configured model name from {@link InstanceSegmentationModelName}
+ *   or a custom {@link LabelEnum} label map.
  *
  * @category Typescript API
+ *
+ * @example
+ * ```ts
+ * const segmentation = await InstanceSegmentationModule.fromModelName({
+ *   modelName: 'yolo26n-seg',
+ *   modelSource: 'https://huggingface.co/.../yolo26n-seg.pte',
+ * });
+ *
+ * const results = await segmentation.forward('path/to/image.jpg', {
+ *   confidenceThreshold: 0.5,
+ *   iouThreshold: 0.45,
+ *   maxInstances: 20,
+ *   inputSize: 640,
+ * });
+ * ```
  */
 export class InstanceSegmentationModule<
   T extends InstanceSegmentationModelName | LabelEnum,
@@ -88,7 +107,7 @@ export class InstanceSegmentationModule<
   override async load() {}
 
   /**
-   * Creates an instance segmentation module for a built-in model.
+   * Creates an instance segmentation module for a pre-configured model.
    * The config object is discriminated by `modelName` — each model can require different fields.
    *
    * @param config - A {@link InstanceSegmentationModelSources} object specifying which model to load and where to fetch it from.
@@ -99,7 +118,7 @@ export class InstanceSegmentationModule<
    * ```ts
    * const segmentation = await InstanceSegmentationModule.fromModelName({
    *   modelName: 'yolo26n-seg',
-   *   modelSource: 'https://example.com/yolo26n-seg.pte',
+   *   modelSource: 'https://huggingface.co/.../yolo26n-seg.pte',
    * });
    * ```
    */
@@ -145,10 +164,10 @@ export class InstanceSegmentationModule<
 
   /**
    * Creates an instance segmentation module with a user-provided label map and custom config.
-   * Use this when working with a custom-exported segmentation model that is not one of the built-in models.
+   * Use this when working with a custom-exported segmentation model that is not one of the pre-configured models.
    *
    * @param modelSource - A fetchable resource pointing to the model binary.
-   * @param config - A {@link InstanceSegmentationConfig} object with the label map.
+   * @param config - A {@link InstanceSegmentationConfig} object with the label map and optional preprocessing parameters.
    * @param onDownloadProgress - Optional callback to monitor download progress, receiving a value between 0 and 1.
    * @returns A Promise resolving to an `InstanceSegmentationModule` instance typed to the provided label map.
    *
@@ -156,8 +175,18 @@ export class InstanceSegmentationModule<
    * ```ts
    * const MyLabels = { PERSON: 0, CAR: 1 } as const;
    * const segmentation = await InstanceSegmentationModule.fromCustomConfig(
-   *   'https://example.com/custom_model.pte',
-   *   { labelMap: MyLabels },
+   *   'https://huggingface.co/.../custom_model.pte',
+   *   {
+   *     labelMap: MyLabels,
+   *     availableInputSizes: [640],
+   *     defaultInputSize: 640,
+   *     postprocessorConfig: {
+   *       type: 'yolo',
+   *       defaultConfidenceThreshold: 0.5,
+   *       defaultIouThreshold: 0.45,
+   *       applyNMS: true,
+   *     },
+   *   },
    * );
    * ```
    */
@@ -201,9 +230,25 @@ export class InstanceSegmentationModule<
    * Executes the model's forward pass to perform instance segmentation on the provided image.
    *
    * @param imageSource - A string representing the image source (e.g., a file path, URI, or Base64-encoded string).
-   * @param options - Optional configuration for the segmentation process.
-   * @returns A Promise resolving to an array of instance masks.
-   * @throws {RnExecutorchError} If the model is not loaded.
+   * @param options - Optional configuration for the segmentation process. Includes `confidenceThreshold`, `iouThreshold`, `maxInstances`, `classesOfInterest`, `returnMaskAtOriginalResolution`, and `inputSize`.
+   * @returns A Promise resolving to an array of {@link SegmentedInstance} objects with `bbox`, `mask`, `maskWidth`, `maskHeight`, `label`, `score`, and `instanceId`.
+   * @throws {RnExecutorchError} If the model is not loaded or if an invalid `inputSize` is provided.
+   *
+   * @example
+   * ```ts
+   * const results = await segmentation.forward('path/to/image.jpg', {
+   *   confidenceThreshold: 0.6,
+   *   iouThreshold: 0.5,
+   *   maxInstances: 10,
+   *   inputSize: 640,
+   *   classesOfInterest: ['PERSON', 'CAR'],
+   *   returnMaskAtOriginalResolution: true,
+   * });
+   *
+   * results.forEach((inst) => {
+   *   console.log(`${inst.label}: ${(inst.score * 100).toFixed(1)}%`);
+   * });
+   * ```
    */
   async forward(
     imageSource: string,
diff --git a/packages/react-native-executorch/src/types/instanceSegmentation.ts b/packages/react-native-executorch/src/types/instanceSegmentation.ts
index 957a26aec4..43c041017a 100644
--- a/packages/react-native-executorch/src/types/instanceSegmentation.ts
+++ b/packages/react-native-executorch/src/types/instanceSegmentation.ts
@@ -152,6 +152,14 @@ export type InstanceSegmentationModelName =
 export type ModelNameOf<C extends InstanceSegmentationModelSources> =
   C['modelName'];
 
+/**
+ * Alias for {@link ModelNameOf}. Extracts the instance segmentation model name from a config object.
+ *
+ * @category Types
+ */
+export type InstanceModelNameOf<C extends InstanceSegmentationModelSources> =
+  ModelNameOf<C>;
+
 /**
  * Props for the `useInstanceSegmentation` hook.
  *

From 957849d47868078f41a8d2ecc9db4a5629250a53 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 2 Mar 2026 14:43:07 +0100
Subject: [PATCH 08/56] Add docs and fix some typechecks

---
 .../app/instance_segmentation/index.tsx       | 58 +++++++++++++++++--
 docs/docs/02-benchmarks/inference-time.md     | 17 ++++++
 docs/docs/02-benchmarks/memory-usage.md       | 14 +++++
 .../src/constants/modelUrls.ts                | 49 ++++++++++++++++
 .../useInstanceSegmentation.ts                |  8 +--
 .../InstanceSegmentationModule.ts             | 29 ++++++----
 .../SemanticSegmentationModule.ts             |  7 ---
 .../src/types/instanceSegmentation.ts         | 15 +----
 8 files changed, 154 insertions(+), 43 deletions(-)

diff --git a/apps/computer-vision/app/instance_segmentation/index.tsx b/apps/computer-vision/app/instance_segmentation/index.tsx
index 4051307b91..0dbcac52bd 100644
--- a/apps/computer-vision/app/instance_segmentation/index.tsx
+++ b/apps/computer-vision/app/instance_segmentation/index.tsx
@@ -1,7 +1,14 @@
 import Spinner from '../../components/Spinner';
 import { BottomBar } from '../../components/BottomBar';
 import { getImage } from '../../utils';
-import { useInstanceSegmentation } from 'react-native-executorch';
+import {
+  useInstanceSegmentation,
+  YOLO26N_SEG,
+  YOLO26L_SEG,
+  YOLO26M_SEG,
+  YOLO26S_SEG,
+  YOLO26X_SEG,
+} from 'react-native-executorch';
 import {
   Canvas,
   Image as SkiaImage,
@@ -41,15 +48,54 @@ const instanceColors = [
 // Available input sizes for YOLO models
 const AVAILABLE_INPUT_SIZES = [384, 416, 512, 640, 1024];
 
+/**
+ * EXAMPLE: Using built-in YOLO models with COCO labels (80 classes)
+ *
+ * const { forward } = useInstanceSegmentation({
+ *   model: YOLO26N_SEG, // or YOLO26S_SEG, YOLO26M_SEG, etc.
+ * });
+ *
+ * // Filter by specific COCO classes:
+ * const results = await forward(imageUri, {
+ *   classesOfInterest: ['PERSON', 'CAR', 'DOG'],
+ *   confidenceThreshold: 0.5,
+ *   inputSize: 640,
+ * });
+ *
+ *
+ * EXAMPLE: Using a custom model with custom labels
+ *
+ * // 1. Define your custom label enum
+ * const MyLabels = { APPLE: 0, ORANGE: 1, BANANA: 2 } as const;
+ *
+ * // 2. Load using InstanceSegmentationModule directly (not the hook)
+ * const customModel = await InstanceSegmentationModule.fromCustomConfig(
+ *   'https://example.com/my-model.pte',
+ *   {
+ *     labelMap: MyLabels,
+ *     availableInputSizes: [640],
+ *     defaultInputSize: 640,
+ *     postprocessorConfig: {
+ *       type: 'yolo',
+ *       defaultConfidenceThreshold: 0.5,
+ *       defaultIouThreshold: 0.45,
+ *       applyNMS: true,
+ *     },
+ *   }
+ * );
+ *
+ * // 3. Run inference
+ * const results = await customModel.forward(imageUri, {
+ *   classesOfInterest: ['APPLE', 'BANANA'],
+ * });
+ */
+
 export default function InstanceSegmentationScreen() {
   const { setGlobalGenerating } = useContext(GeneratingContext);
 
   const { isReady, isGenerating, downloadProgress, forward, error } =
     useInstanceSegmentation({
-      model: {
-        modelName: 'yolo26n-seg',
-        modelSource: 'http://192.168.83.59:3000/yolo26n-seg.pte',
-      },
+      model: YOLO26X_SEG,
     });
 
   const [imageUri, setImageUri] = useState('');
@@ -81,7 +127,7 @@ export default function InstanceSegmentationScreen() {
     try {
       const output = await forward(imageUri, {
         confidenceThreshold: 0.5,
-        iouThreshold: 0.45,
+        iouThreshold: 0.55,
         maxInstances: 20,
         returnMaskAtOriginalResolution: true,
         inputSize: selectedInputSize,
diff --git a/docs/docs/02-benchmarks/inference-time.md b/docs/docs/02-benchmarks/inference-time.md
index 7e43d7d8a6..3e9d254e97 100644
--- a/docs/docs/02-benchmarks/inference-time.md
+++ b/docs/docs/02-benchmarks/inference-time.md
@@ -210,6 +210,23 @@ slower for very large images, which can increase total time.
 | FCN_RESNET101 (XNNPACK FP32)                 |        2600        |         3160         |
 | FCN_RESNET101 (XNNPACK INT8)                 |        160         |         620          |
 
+## Instance Segmentation
+
+:::warning
+Times presented in the tables are measured as consecutive runs of the model. Initial run times may be up to 2x longer due to model loading and initialization.
+:::
+:::warning
+Times presented in the tables are measured for forward method with input size equal to 512. Other input sizes may yeild slower or faster inference times.
+:::
+
+| Model       | Samsung Galaxy S24 (XNNPACK) [ms] | Iphone 17 pro (XNNPACK) [ms] |
+| ----------- | --------------------------------- | ---------------------------- |
+| YOLO26n_SEG | 92                                | 90                           |
+| YOLO26s_SEG | 220                               | 188                          |
+| YOLO26m_SEG | 570                               | 550                          |
+| YOLO26l_SEG | 680                               | 608                          |
+| YOLO26x_SEG | 1410                              | 1338                         |
+
 ## Text to image
 
 | Model                 | iPhone 17 Pro (XNNPACK) [ms] | iPhone 16 Pro (XNNPACK) [ms] | iPhone SE 3 (XNNPACK) [ms] | Samsung Galaxy S24 (XNNPACK) [ms] | OnePlus 12 (XNNPACK) [ms] |
diff --git a/docs/docs/02-benchmarks/memory-usage.md b/docs/docs/02-benchmarks/memory-usage.md
index 0dc59f0fc3..918ad16317 100644
--- a/docs/docs/02-benchmarks/memory-usage.md
+++ b/docs/docs/02-benchmarks/memory-usage.md
@@ -167,6 +167,20 @@ with higher resolutions.
 | ----------------- | ---------------------- | ------------------ |
 | DEELABV3_RESNET50 | 930                    | 660                |
 
+## Instance Segmentation
+
+:::warning
+Data presented in the following sections is based on inference with forward_1024 method.
+:::
+
+| Model       | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
+| ----------- | ---------------------- | ------------------ |
+| YOLO26n_SEG | 92                     | 668                |
+| YOLO26s_SEG | 220                    | 712                |
+| YOLO26m_SEG | 570                    | 815                |
+| YOLO26l_SEG | 680                    | 1024               |
+| YOLO26x_SEG | 1410                   | 1450               |
+
 ## Text to image
 
 :::info
diff --git a/packages/react-native-executorch/src/constants/modelUrls.ts b/packages/react-native-executorch/src/constants/modelUrls.ts
index 472b48ef60..b4c84ed2ea 100644
--- a/packages/react-native-executorch/src/constants/modelUrls.ts
+++ b/packages/react-native-executorch/src/constants/modelUrls.ts
@@ -806,6 +806,55 @@ export const SELFIE_SEGMENTATION = {
   modelSource: SELFIE_SEGMENTATION_MODEL,
 } as const;
 
+/**
+ * @category Models - Instance Segmentation
+ */
+const YOLO26N_SEG_MODEL = `${URL_PREFIX}-yolo26-seg/${NEXT_VERSION_TAG}/yolo26n-seg/xnnpack/yolo26n-seg.pte`;
+const YOLO26S_SEG_MODEL = `${URL_PREFIX}-yolo26-seg/${NEXT_VERSION_TAG}/yolo26s-seg/xnnpack/yolo26s-seg.pte`;
+const YOLO26M_SEG_MODEL = `${URL_PREFIX}-yolo26-seg/${NEXT_VERSION_TAG}/yolo26m-seg/xnnpack/yolo26m-seg.pte`;
+const YOLO26L_SEG_MODEL = `${URL_PREFIX}-yolo26-seg/${NEXT_VERSION_TAG}/yolo26l-seg/xnnpack/yolo26l-seg.pte`;
+const YOLO26X_SEG_MODEL = `${URL_PREFIX}-yolo26-seg/${NEXT_VERSION_TAG}/yolo26x-seg/xnnpack/yolo26x-seg.pte`;
+
+/**
+ * @category Models - Instance Segmentation
+ */
+export const YOLO26N_SEG = {
+  modelName: 'yolo26n-seg',
+  modelSource: YOLO26N_SEG_MODEL,
+} as const;
+
+/**
+ * @category Models - Instance Segmentation
+ */
+export const YOLO26S_SEG = {
+  modelName: 'yolo26s-seg',
+  modelSource: YOLO26S_SEG_MODEL,
+} as const;
+
+/**
+ * @category Models - Instance Segmentation
+ */
+export const YOLO26M_SEG = {
+  modelName: 'yolo26m-seg',
+  modelSource: YOLO26M_SEG_MODEL,
+} as const;
+
+/**
+ * @category Models - Instance Segmentation
+ */
+export const YOLO26L_SEG = {
+  modelName: 'yolo26l-seg',
+  modelSource: YOLO26L_SEG_MODEL,
+} as const;
+
+/**
+ * @category Models - Instance Segmentation
+ */
+export const YOLO26X_SEG = {
+  modelName: 'yolo26x-seg',
+  modelSource: YOLO26X_SEG_MODEL,
+} as const;
+
 // Image Embeddings
 const CLIP_VIT_BASE_PATCH32_IMAGE_MODEL = `${URL_PREFIX}-clip-vit-base-patch32/${NEXT_VERSION_TAG}/xnnpack/clip_vit_base_patch32_vision_xnnpack_fp32.pte`;
 const CLIP_VIT_BASE_PATCH32_IMAGE_QUANTIZED_MODEL = `${URL_PREFIX}-clip-vit-base-patch32/${NEXT_VERSION_TAG}/xnnpack/clip_vit_base_patch32_vision_xnnpack_int8.pte`;
diff --git a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
index 8c7778dbb7..1f426654ab 100644
--- a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
+++ b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
@@ -47,9 +47,7 @@ export const useInstanceSegmentation = <
 >({
   model,
   preventLoad = false,
-}: InstanceSegmentationProps<C>): InstanceSegmentationType<
-  InstanceSegmentationLabels<InstanceModelNameOf<C>>
-> => {
+}: InstanceSegmentationProps<C>): InstanceSegmentationType<LabelEnum> => {
   const [error, setError] = useState<RnExecutorchError | null>(null);
   const [isReady, setIsReady] = useState(false);
   const [isGenerating, setIsGenerating] = useState(false);
@@ -96,9 +94,7 @@ export const useInstanceSegmentation = <
 
   const forward = async (
     imageSource: string,
-    options?: InstanceSegmentationOptions<
-      InstanceSegmentationLabels<InstanceModelNameOf<C>>
-    >
+    options?: InstanceSegmentationOptions<LabelEnum>
   ) => {
     if (!isReady || !instance) {
       throw new RnExecutorchError(
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index 33b5f40ce5..6ccfd9d497 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -31,10 +31,7 @@ const ModelConfigs = {
   'yolo26m-seg': YOLO_SEG_CONFIG,
   'yolo26l-seg': YOLO_SEG_CONFIG,
   'yolo26x-seg': YOLO_SEG_CONFIG,
-} as const satisfies Record<
-  InstanceSegmentationModelName,
-  InstanceSegmentationConfig<LabelEnum>
->;
+} as const;
 
 /** @internal */
 type ModelConfigsType = typeof ModelConfigs;
@@ -90,11 +87,11 @@ export class InstanceSegmentationModule<
   T extends InstanceSegmentationModelName | LabelEnum,
 > extends BaseModule {
   private labelMap: ResolveLabels<T>;
-  private modelConfig: InstanceSegmentationConfig<ResolveLabels<T>>;
+  private modelConfig: InstanceSegmentationConfig<LabelEnum>;
 
   private constructor(
     labelMap: ResolveLabels<T>,
-    modelConfig: InstanceSegmentationConfig<ResolveLabels<T>>,
+    modelConfig: InstanceSegmentationConfig<LabelEnum>,
     nativeModule: unknown
   ) {
     super();
@@ -127,7 +124,7 @@ export class InstanceSegmentationModule<
     onDownloadProgress: (progress: number) => void = () => {}
   ): Promise<InstanceSegmentationModule<InstanceModelNameOf<C>>> {
     const { modelName, modelSource } = config;
-    const modelConfig = ModelConfigs[modelName];
+    const modelConfig = ModelConfigs[modelName as keyof typeof ModelConfigs];
 
     const paths = await ResourceFetcher.fetch(onDownloadProgress, modelSource);
     if (!paths?.[0]) {
@@ -155,9 +152,7 @@ export class InstanceSegmentationModule<
 
     return new InstanceSegmentationModule<InstanceModelNameOf<C>>(
       modelConfig.labelMap as ResolveLabels<InstanceModelNameOf<C>>,
-      modelConfig as InstanceSegmentationConfig<
-        ResolveLabels<InstanceModelNameOf<C>>
-      >,
+      modelConfig,
       nativeModule
     );
   }
@@ -221,7 +216,7 @@ export class InstanceSegmentationModule<
 
     return new InstanceSegmentationModule<L>(
       config.labelMap as ResolveLabels<L>,
-      config as InstanceSegmentationConfig<ResolveLabels<L>>,
+      config,
       nativeModule
     );
   }
@@ -298,6 +293,8 @@ export class InstanceSegmentationModule<
         })
       : [];
 
+    // Measure inference time
+    const startTime = performance.now();
     const nativeResult = await this.nativeModule.generate(
       imageSource,
       confidenceThreshold,
@@ -307,10 +304,18 @@ export class InstanceSegmentationModule<
       returnMaskAtOriginalResolution,
       inputSize // Pass inputSize as number instead of methodName as string
     );
+    const endTime = performance.now();
+    const inferenceTime = endTime - startTime;
+
+    console.log(
+      `[Instance Segmentation] Inference completed in ${inferenceTime.toFixed(2)}ms | Input size: ${inputSize}x${inputSize} | Detected: ${nativeResult.length} instances`
+    );
 
     // Convert label indices back to label names
     // YOLO outputs 0-indexed class IDs, but COCO labels are 1-indexed, so add 1
-    const reverseLabelMap = Object.entries(this.labelMap).reduce(
+    const reverseLabelMap = Object.entries(
+      this.labelMap as Record<string, number>
+    ).reduce(
       (acc, [key, value]) => {
         acc[value as number] = key;
         return acc;
diff --git a/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts
index ef9e6776d4..e031e87612 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts
@@ -182,13 +182,6 @@ export class SemanticSegmentationModule<
     );
   }
 
-  InstanceSegConfig = {
-    'yolo26n-seg': {
-      labelMap: LabelEnum,
-      prepocessorConfig: undefined,
-      availableInputSizes: [Number],
-    },
-  };
   /**
    * Executes the model's forward pass to perform semantic segmentation on the provided image.
    *
diff --git a/packages/react-native-executorch/src/types/instanceSegmentation.ts b/packages/react-native-executorch/src/types/instanceSegmentation.ts
index 43c041017a..fe9bdd5e81 100644
--- a/packages/react-native-executorch/src/types/instanceSegmentation.ts
+++ b/packages/react-native-executorch/src/types/instanceSegmentation.ts
@@ -1,6 +1,6 @@
 import { RnExecutorchError } from '../errors/errorUtils';
 import { LabelEnum, ResourceSource } from './common';
-import { Bbox, CocoLabel } from './objectDetection';
+import { Bbox } from './objectDetection';
 
 /**
  * Represents a single detected instance in instance segmentation output.
@@ -133,7 +133,6 @@ export type InstanceSegmentationModelSources =
   | { modelName: 'yolo26s-seg'; modelSource: ResourceSource }
   | { modelName: 'yolo26m-seg'; modelSource: ResourceSource }
   | { modelName: 'yolo26l-seg'; modelSource: ResourceSource }
-  | { modelName: 'rfdetr_seg'; modelSource: ResourceSource }
   | { modelName: 'yolo26x-seg'; modelSource: ResourceSource };
 
 /**
@@ -145,20 +144,12 @@ export type InstanceSegmentationModelName =
   InstanceSegmentationModelSources['modelName'];
 
 /**
- * Extracts the model name from a {@link InstanceSegmentationModelSources} config object.
- *
- * @category Types
- */
-export type ModelNameOf<C extends InstanceSegmentationModelSources> =
-  C['modelName'];
-
-/**
- * Alias for {@link ModelNameOf}. Extracts the instance segmentation model name from a config object.
+ * Extracts the instance segmentation model name from a {@link InstanceSegmentationModelSources} config object.
  *
  * @category Types
  */
 export type InstanceModelNameOf<C extends InstanceSegmentationModelSources> =
-  ModelNameOf<C>;
+  C['modelName'];
 
 /**
  * Props for the `useInstanceSegmentation` hook.

From a5984d4278636449f46fae3007e394381e918f58 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 9 Mar 2026 06:03:40 +0100
Subject: [PATCH 09/56] Add method unloading

---
 .../app/instance_segmentation/index.tsx       |   2 +-
 .../BaseInstanceSegmentation.cpp              | 430 ++++++++++++------
 .../BaseInstanceSegmentation.h                |   3 +
 3 files changed, 291 insertions(+), 144 deletions(-)

diff --git a/apps/computer-vision/app/instance_segmentation/index.tsx b/apps/computer-vision/app/instance_segmentation/index.tsx
index 0dbcac52bd..4e3d12d646 100644
--- a/apps/computer-vision/app/instance_segmentation/index.tsx
+++ b/apps/computer-vision/app/instance_segmentation/index.tsx
@@ -95,7 +95,7 @@ export default function InstanceSegmentationScreen() {
 
   const { isReady, isGenerating, downloadProgress, forward, error } =
     useInstanceSegmentation({
-      model: YOLO26X_SEG,
+      model: YOLO26N_SEG,
     });
 
   const [imageUri, setImageUri] = useState('');
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index 18719c6864..97029b9e9e 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -5,6 +5,7 @@
 #include <rnexecutorch/Error.h>
 #include <rnexecutorch/ErrorCodes.h>
 #include <rnexecutorch/data_processing/ImageProcessing.h>
+
 namespace rnexecutorch::models::instance_segmentation {
 
 BaseInstanceSegmentation::BaseInstanceSegmentation(
@@ -13,7 +14,6 @@ BaseInstanceSegmentation::BaseInstanceSegmentation(
     std::shared_ptr<react::CallInvoker> callInvoker)
     : BaseModel(modelSource, callInvoker),
       postprocessorType_(postprocessorType), applyNMS_(applyNMS) {
-  // Validate postprocessor type
   if (postprocessorType_ != "yolo" && postprocessorType_ != "rfdetr") {
     throw RnExecutorchError(
         RnExecutorchErrorCode::InvalidConfig,
@@ -21,7 +21,7 @@ BaseInstanceSegmentation::BaseInstanceSegmentation(
             postprocessorType_);
   }
 
-  // Store normalization parameters if provided
+  avalivableMethods_ = *module_->method_names();
   if (normMean.size() == 3) {
     normMean_ = cv::Scalar(normMean[0], normMean[1], normMean[2]);
   }
@@ -29,7 +29,6 @@ BaseInstanceSegmentation::BaseInstanceSegmentation(
     normStd_ = cv::Scalar(normStd[0], normStd[1], normStd[2]);
   }
 
-  // For multi-method models, we set a default size
   modelImageSize = cv::Size(416, 416);
 }
 
@@ -54,7 +53,6 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::nonMaxSuppression(
     return {};
   }
 
-  // Sort by score (descending)
   std::sort(instances.begin(), instances.end(),
             [](const types::InstanceMask &a, const types::InstanceMask &b) {
               return a.score > b.score;
@@ -75,7 +73,6 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::nonMaxSuppression(
         continue;
       }
 
-      // Only suppress if same class
       if (instances[i].label == instances[j].label) {
         float iou = intersectionOverUnion(instances[i], instances[j]);
         if (iou > iouThreshold) {
@@ -94,7 +91,6 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
     int maxInstances, const std::vector<int32_t> &classIndices,
     bool returnMaskAtOriginalResolution) {
 
-  // Validate parameters
   if (confidenceThreshold <= 0 || confidenceThreshold > 1) {
     throw RnExecutorchError(RnExecutorchErrorCode::InvalidConfig,
                             "Confidence threshold must be greater than 0 "
@@ -107,13 +103,9 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
                             "and less than or equal to 1.");
   }
 
-  // Check postprocessor type and delegate
-  if (postprocessorType_ == "yolo") {
-    // Continue with YOLO postprocessing below
-  } else if (postprocessorType_ == "rfdetr") {
+  if (postprocessorType_ == "rfdetr") {
     throw RnExecutorchError(RnExecutorchErrorCode::InvalidConfig,
-                            "RF-DETR postprocessing is not yet implemented. "
-                            "Only YOLO models are currently supported.");
+                            "RF-DETR not implemented in this POC build.");
   }
 
   float widthRatio =
@@ -121,164 +113,316 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
   float heightRatio =
       static_cast<float>(originalSize.height) / modelInputSize.height;
 
-  std::vector<types::InstanceMask> instances;
-
-  // ACTUAL tensor format from YOLO instance segmentation:
-  // tensors[0]: [1, 300, 38] - postprocessed detections
-  //             Format per detection: [x1, y1, x2, y2, score, class,
-  //             mask_coef_0...31]
-  // tensors[1]: [1, 32, 128, 128] - prototype masks
-
-  if (tensors.size() < 2) {
-    throw RnExecutorchError(
-        RnExecutorchErrorCode::UnexpectedNumInputs,
-        "Expected at least 2 output tensors (detections, prototype masks).");
+  std::set<int32_t> allowedClasses;
+  if (!classIndices.empty()) {
+    allowedClasses.insert(classIndices.begin(), classIndices.end());
   }
 
-  // Parse Tensor 0: postprocessed detections [1, 300, 38]
-  auto detectionTensor = tensors.at(0).toTensor();
-  if (detectionTensor.dim() != 3 || detectionTensor.size(2) != 38) {
+  std::vector<types::InstanceMask> instances;
+
+  size_t numTensors = tensors.size();
+  if (numTensors < 2) {
     throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs,
-                            "Expected detection tensor shape [1, N, 38]");
+                            "Expected at least 2 output tensors, got " +
+                                std::to_string(numTensors));
   }
 
-  int maxDetections = detectionTensor.size(1);
-  const float *detectionData =
-      static_cast<const float *>(detectionTensor.const_data_ptr());
+  auto firstTensor = tensors[0].toTensor();
+  int featureDim = firstTensor.size(firstTensor.dim() - 1);
 
-  // Parse Tensor 1: prototype masks [1, 32, H, W]
-  auto protoTensor = tensors.at(1).toTensor();
-  if (protoTensor.dim() != 4 || protoTensor.size(1) != 32) {
-    throw RnExecutorchError(
-        RnExecutorchErrorCode::UnexpectedNumInputs,
-        "Expected prototype mask tensor shape [1, 32, H, W]");
-  }
+  // ════════════════════════════════════════════════════════════
+  // FORMAT A — YOLO NATIVE: [1,N,38] + [1,32,H,W]
+  //   Detection tensor: [x1,y1,x2,y2, score, class, coeff×32]
+  //   C++ computes: coefficients @ prototypes → mask per detection
+  // ════════════════════════════════════════════════════════════
+  if (featureDim == 38 && numTensors == 2) {
 
-  int protoHeight = protoTensor.size(2);
-  int protoWidth = protoTensor.size(3);
-  const float *protoData =
-      static_cast<const float *>(protoTensor.const_data_ptr());
+    auto detectionTensor = tensors[0].toTensor();
+    auto protoTensor = tensors[1].toTensor();
 
-  // Create a set for fast class lookup if classIndices is provided
-  std::set<int32_t> allowedClasses;
-  if (!classIndices.empty()) {
-    allowedClasses.insert(classIndices.begin(), classIndices.end());
-  }
+    if (protoTensor.dim() != 4 || protoTensor.size(1) != 32) {
+      throw RnExecutorchError(
+          RnExecutorchErrorCode::UnexpectedNumInputs,
+          "Expected prototype mask tensor shape [1, 32, H, W]");
+    }
 
-  // Parse each detection from Tensor 0
-  for (int i = 0; i < maxDetections; ++i) {
-    // Each detection: [x1, y1, x2, y2, score, class, mask_coef_0...31]
-    const float *detection = detectionData + (i * 38);
+    int maxDetections = detectionTensor.size(1);
+    int protoHeight = protoTensor.size(2);
+    int protoWidth = protoTensor.size(3);
+    const float *detData =
+        static_cast<const float *>(detectionTensor.const_data_ptr());
+    const float *protoData =
+        static_cast<const float *>(protoTensor.const_data_ptr());
+
+    for (int i = 0; i < maxDetections; ++i) {
+      const float *det = detData + (i * 38);
+
+      float x1 = det[0];
+      float y1 = det[1];
+      float x2 = det[2];
+      float y2 = det[3];
+      float score = det[4];
+      int label = static_cast<int>(det[5]);
+
+      if (score < confidenceThreshold)
+        continue;
+      if (!allowedClasses.empty() &&
+          allowedClasses.find(label) == allowedClasses.end())
+        continue;
 
-    float x1 = detection[0];
-    float y1 = detection[1];
-    float x2 = detection[2];
-    float y2 = detection[3];
-    float score = detection[4];
-    int label = static_cast<int>(detection[5]);
+      // mask = coefficients @ prototypes
+      std::vector<float> instanceMask(protoHeight * protoWidth, 0.0f);
+      for (int m = 0; m < 32; m++) {
+        float coef = det[6 + m];
+        const float *proto = protoData + (m * protoHeight * protoWidth);
+        for (int p = 0; p < protoHeight * protoWidth; p++) {
+          instanceMask[p] += coef * proto[p];
+        }
+      }
 
-    // Skip if below confidence threshold
-    if (score < confidenceThreshold) {
-      continue;
-    }
+      std::vector<uint8_t> binaryMask(protoHeight * protoWidth);
+      for (int j = 0; j < protoHeight * protoWidth; j++) {
+        float v = 1.0f / (1.0f + std::exp(-instanceMask[j]));
+        binaryMask[j] = (v > 0.5f) ? 1 : 0;
+      }
 
-    // Filter by class if specified
-    if (!allowedClasses.empty() &&
-        allowedClasses.find(label) == allowedClasses.end()) {
-      continue;
-    }
+      x1 *= widthRatio;
+      y1 *= heightRatio;
+      x2 *= widthRatio;
+      y2 *= heightRatio;
+
+      int finalMaskWidth = protoWidth;
+      int finalMaskHeight = protoHeight;
+      std::vector<uint8_t> finalMask = binaryMask;
+
+      if (returnMaskAtOriginalResolution) {
+        cv::Mat maskMat(protoHeight, protoWidth, CV_8UC1, binaryMask.data());
+        cv::Mat resizedMaskMat;
+        cv::resize(maskMat, resizedMaskMat, originalSize, 0, 0,
+                   cv::INTER_NEAREST);
+        finalMaskWidth = originalSize.width;
+        finalMaskHeight = originalSize.height;
+        for (int y = 0; y < finalMaskHeight; y++)
+          for (int x = 0; x < finalMaskWidth; x++)
+            if (x < x1 || x > x2 || y < y1 || y > y2)
+              resizedMaskMat.data[y * finalMaskWidth + x] = 0;
+        finalMask.assign(resizedMaskMat.data,
+                         resizedMaskMat.data + resizedMaskMat.total());
+      }
 
-    // Extract mask coefficients (32 values starting at index 6)
-    std::vector<float> maskCoefficients(32);
-    for (int j = 0; j < 32; j++) {
-      maskCoefficients[j] = detection[6 + j];
+      types::InstanceMask instance;
+      instance.x1 = x1;
+      instance.y1 = y1;
+      instance.x2 = x2;
+      instance.y2 = y2;
+      instance.mask = std::move(finalMask);
+      instance.maskWidth = finalMaskWidth;
+      instance.maskHeight = finalMaskHeight;
+      instance.label = label;
+      instance.score = score;
+      instance.instanceId = i;
+      instances.push_back(std::move(instance));
     }
+  }
+  // ════════════════════════════════════════════════════════════
+  // FORMAT B — CONTRACT: [1,N,4] + [1,N,2] + [1,N,H,W]
+  //   bbox:        x1,y1,x2,y2 in model-input coordinates
+  //   scores:      (max_score, class_id)  — score is post-sigmoid
+  //   mask_logits: pre-sigmoid, per-detection, at whatever resolution
+  //                the export chose (128×128, 64×64, 32×32, etc.)
+  // ════════════════════════════════════════════════════════════
+  else if (featureDim == 4 && numTensors == 3) {
+
+    auto bboxTensor = tensors[0].toTensor();   // [1, N, 4]
+    auto scoresTensor = tensors[1].toTensor(); // [1, N, 2]
+    auto maskTensor = tensors[2].toTensor();   // [1, N, H, W]
+
+    int N = bboxTensor.size(1);
+    int maskH = maskTensor.size(2);
+    int maskW = maskTensor.size(3);
+
+    const float *bboxData =
+        static_cast<const float *>(bboxTensor.const_data_ptr());
+    const float *scoresData =
+        static_cast<const float *>(scoresTensor.const_data_ptr());
+    const float *maskData =
+        static_cast<const float *>(maskTensor.const_data_ptr());
+
+    for (int i = 0; i < N; ++i) {
+      float x1 = bboxData[i * 4 + 0];
+      float y1 = bboxData[i * 4 + 1];
+      float x2 = bboxData[i * 4 + 2];
+      float y2 = bboxData[i * 4 + 3];
+      float score = scoresData[i * 2 + 0];
+      int label = static_cast<int>(scoresData[i * 2 + 1]);
+
+      if (score < confidenceThreshold)
+        continue;
+      if (!allowedClasses.empty() &&
+          allowedClasses.find(label) == allowedClasses.end())
+        continue;
 
-    // Generate instance mask by multiplying coefficients with prototype masks
-    // Result: [protoHeight, protoWidth]
-    std::vector<float> instanceMask(protoHeight * protoWidth, 0.0f);
-
-    for (int maskIdx = 0; maskIdx < 32; maskIdx++) {
-      float coef = maskCoefficients[maskIdx];
-      const float *protoMask = protoData + (maskIdx * protoHeight * protoWidth);
+      // Mask logits are pre-computed — just sigmoid + threshold
+      const float *logits = maskData + (i * maskH * maskW);
+      std::vector<uint8_t> binaryMask(maskH * maskW);
+      for (int j = 0; j < maskH * maskW; j++) {
+        float v = 1.0f / (1.0f + std::exp(-logits[j]));
+        binaryMask[j] = (v > 0.5f) ? 1 : 0;
+      }
 
-      for (int pixelIdx = 0; pixelIdx < protoHeight * protoWidth; pixelIdx++) {
-        instanceMask[pixelIdx] += coef * protoMask[pixelIdx];
+      x1 *= widthRatio;
+      y1 *= heightRatio;
+      x2 *= widthRatio;
+      y2 *= heightRatio;
+
+      int finalMaskWidth = maskW;
+      int finalMaskHeight = maskH;
+      std::vector<uint8_t> finalMask = binaryMask;
+
+      if (returnMaskAtOriginalResolution) {
+        cv::Mat maskMat(maskH, maskW, CV_8UC1, binaryMask.data());
+        cv::Mat resizedMaskMat;
+        cv::resize(maskMat, resizedMaskMat, originalSize, 0, 0,
+                   cv::INTER_NEAREST);
+        finalMaskWidth = originalSize.width;
+        finalMaskHeight = originalSize.height;
+        for (int y = 0; y < finalMaskHeight; y++)
+          for (int x = 0; x < finalMaskWidth; x++)
+            if (x < x1 || x > x2 || y < y1 || y > y2)
+              resizedMaskMat.data[y * finalMaskWidth + x] = 0;
+        finalMask.assign(resizedMaskMat.data,
+                         resizedMaskMat.data + resizedMaskMat.total());
       }
-    }
 
-    // Apply sigmoid to mask values and threshold
-    std::vector<uint8_t> binaryMask(protoHeight * protoWidth);
-    for (int j = 0; j < protoHeight * protoWidth; j++) {
-      // Sigmoid: 1 / (1 + exp(-x))
-      float maskValue = 1.0f / (1.0f + std::exp(-instanceMask[j]));
-      binaryMask[j] = (maskValue > 0.5f) ? 1 : 0;
+      types::InstanceMask instance;
+      instance.x1 = x1;
+      instance.y1 = y1;
+      instance.x2 = x2;
+      instance.y2 = y2;
+      instance.mask = std::move(finalMask);
+      instance.maskWidth = finalMaskWidth;
+      instance.maskHeight = finalMaskHeight;
+      instance.label = label;
+      instance.score = score;
+      instance.instanceId = i;
+      instances.push_back(std::move(instance));
     }
+  }
+  // ════════════════════════════════════════════════════════════
+  // FORMAT C — COEFFS+PROTOS: [1,N,4] + [1,N,2] + [1,N,32] + [1,32,H,W]
+  //   Same bbox/scores as contract, but masks are NOT pre-computed.
+  //   C++ computes masks only for detections that pass the filter,
+  //   which is far cheaper than doing bmm for all 300 in the model.
+  // ════════════════════════════════════════════════════════════
+  else if (featureDim == 4 && numTensors == 4) {
+
+    auto bboxTensor = tensors[0].toTensor();   // [1, N, 4]
+    auto scoresTensor = tensors[1].toTensor(); // [1, N, 2]
+    auto coeffsTensor = tensors[2].toTensor(); // [1, N, nm]
+    auto protoTensor = tensors[3].toTensor();  // [1, nm, H, W]
+
+    int N = bboxTensor.size(1);
+    int nm = coeffsTensor.size(2);
+    int protoH = protoTensor.size(2);
+    int protoW = protoTensor.size(3);
+
+    const float *bboxData =
+        static_cast<const float *>(bboxTensor.const_data_ptr());
+    const float *scoresData =
+        static_cast<const float *>(scoresTensor.const_data_ptr());
+    const float *coeffsData =
+        static_cast<const float *>(coeffsTensor.const_data_ptr());
+    const float *protoData =
+        static_cast<const float *>(protoTensor.const_data_ptr());
+
+    for (int i = 0; i < N; ++i) {
+      float x1 = bboxData[i * 4 + 0];
+      float y1 = bboxData[i * 4 + 1];
+      float x2 = bboxData[i * 4 + 2];
+      float y2 = bboxData[i * 4 + 3];
+      float score = scoresData[i * 2 + 0];
+      int label = static_cast<int>(scoresData[i * 2 + 1]);
+
+      if (score < confidenceThreshold)
+        continue;
+      if (!allowedClasses.empty() &&
+          allowedClasses.find(label) == allowedClasses.end())
+        continue;
 
-    // Scale bounding box to original image size first
-    x1 *= widthRatio;
-    y1 *= heightRatio;
-    x2 *= widthRatio;
-    y2 *= heightRatio;
-
-    // Resize mask if needed
-    int finalMaskWidth = protoWidth;
-    int finalMaskHeight = protoHeight;
-    std::vector<uint8_t> finalMask = binaryMask;
-
-    if (returnMaskAtOriginalResolution) {
-      cv::Mat maskMat(protoHeight, protoWidth, CV_8UC1, binaryMask.data());
-      cv::Mat resizedMaskMat;
-      cv::resize(maskMat, resizedMaskMat, originalSize, 0, 0,
-                 cv::INTER_NEAREST);
-
-      finalMaskWidth = originalSize.width;
-      finalMaskHeight = originalSize.height;
-
-      // Crop mask to bounding box (removes artifacts outside bbox)
-      for (int y = 0; y < finalMaskHeight; y++) {
-        for (int x = 0; x < finalMaskWidth; x++) {
-          int idx = y * finalMaskWidth + x;
-          // Zero out pixels outside the bounding box
-          if (x < x1 || x > x2 || y < y1 || y > y2) {
-            resizedMaskMat.data[idx] = 0;
-          }
+      // Compute mask: coeffs[i] @ protos → [protoH * protoW]
+      const float *coeffs = coeffsData + (i * nm);
+      std::vector<float> instanceMask(protoH * protoW, 0.0f);
+      for (int m = 0; m < nm; m++) {
+        float coef = coeffs[m];
+        const float *proto = protoData + (m * protoH * protoW);
+        for (int p = 0; p < protoH * protoW; p++) {
+          instanceMask[p] += coef * proto[p];
         }
       }
 
-      finalMask.assign(resizedMaskMat.data,
-                       resizedMaskMat.data + resizedMaskMat.total());
-    }
+      std::vector<uint8_t> binaryMask(protoH * protoW);
+      for (int j = 0; j < protoH * protoW; j++) {
+        float v = 1.0f / (1.0f + std::exp(-instanceMask[j]));
+        binaryMask[j] = (v > 0.5f) ? 1 : 0;
+      }
+
+      x1 *= widthRatio;
+      y1 *= heightRatio;
+      x2 *= widthRatio;
+      y2 *= heightRatio;
+
+      int finalMaskWidth = protoW;
+      int finalMaskHeight = protoH;
+      std::vector<uint8_t> finalMask = binaryMask;
+
+      if (returnMaskAtOriginalResolution) {
+        cv::Mat maskMat(protoH, protoW, CV_8UC1, binaryMask.data());
+        cv::Mat resizedMaskMat;
+        cv::resize(maskMat, resizedMaskMat, originalSize, 0, 0,
+                   cv::INTER_NEAREST);
+        finalMaskWidth = originalSize.width;
+        finalMaskHeight = originalSize.height;
+        for (int y = 0; y < finalMaskHeight; y++)
+          for (int x = 0; x < finalMaskWidth; x++)
+            if (x < x1 || x > x2 || y < y1 || y > y2)
+              resizedMaskMat.data[y * finalMaskWidth + x] = 0;
+        finalMask.assign(resizedMaskMat.data,
+                         resizedMaskMat.data + resizedMaskMat.total());
+      }
 
-    types::InstanceMask instance;
-    instance.x1 = x1;
-    instance.y1 = y1;
-    instance.x2 = x2;
-    instance.y2 = y2;
-    instance.mask = std::move(finalMask);
-    instance.maskWidth = finalMaskWidth;
-    instance.maskHeight = finalMaskHeight;
-    instance.label = label;
-    instance.score = score;
-    instance.instanceId = i;
-
-    instances.push_back(std::move(instance));
+      types::InstanceMask instance;
+      instance.x1 = x1;
+      instance.y1 = y1;
+      instance.x2 = x2;
+      instance.y2 = y2;
+      instance.mask = std::move(finalMask);
+      instance.maskWidth = finalMaskWidth;
+      instance.maskHeight = finalMaskHeight;
+      instance.label = label;
+      instance.score = score;
+      instance.instanceId = i;
+      instances.push_back(std::move(instance));
+    }
+  }
+  // ════════════════════════════════════════════════════════════
+  else {
+    throw RnExecutorchError(
+        RnExecutorchErrorCode::UnexpectedNumInputs,
+        "Unrecognized output format: " + std::to_string(numTensors) +
+            " tensors, first tensor last dim = " + std::to_string(featureDim) +
+            ". Expected YOLO native (2 tensors, dim=38), contract (3 tensors, "
+            "dim=4), or coeffs+protos (4 tensors, dim=4).");
   }
 
-  // Apply NMS if enabled
-  // Note: Some models (like YOLO) already apply NMS internally,
-  // but we can apply it again if requested with a different IoU threshold
+  // Finalize: NMS + limit + renumber
   if (applyNMS_ && iouThreshold < 0.45) {
-    // Only apply additional NMS if threshold is stricter than model's default
     instances = nonMaxSuppression(instances, iouThreshold);
   }
 
-  // Limit to maxInstances
   if (instances.size() > static_cast<size_t>(maxInstances)) {
     instances.resize(maxInstances);
   }
 
-  // Update instance IDs to be sequential
   for (size_t i = 0; i < instances.size(); ++i) {
     instances[i].instanceId = static_cast<int>(i);
   }
@@ -291,20 +435,20 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::generate(
     int maxInstances, std::vector<int32_t> classIndices,
     bool returnMaskAtOriginalResolution, int32_t inputSize) {
 
-  // Construct method name from inputSize (e.g., 512 -> "forward_512")
   std::string methodName = getMethodName(inputSize);
+  if (currentlyLoadedMethod_ == "") {
+    currentlyLoadedMethod_ = methodName;
+  } else {
+    module_->unload_method(currentlyLoadedMethod_);
+    currentlyLoadedMethod_ = methodName;
+  }
+  module_->load_method(methodName);
   cv::Size modelInputSize(inputSize, inputSize);
-
-  // Create input shape
   std::vector<int32_t> inputShape = {1, 3, inputSize, inputSize};
 
-  // Read and preprocess image with optional normalization
-  // readImageToTensor will apply normalization if normMean_ and normStd_ are
-  // provided
   auto [inputTensor, originalSize] = image_processing::readImageToTensor(
       imageSource, inputShape, false, normMean_, normStd_);
 
-  // Execute model
   auto forwardResult = BaseModel::execute(methodName, {inputTensor});
   if (!forwardResult.ok()) {
     throw RnExecutorchError(
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index 36174c2880..19195002fb 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -8,6 +8,7 @@
 #include "Types.h"
 #include "rnexecutorch/metaprogramming/ConstructorHelpers.h"
 #include <rnexecutorch/models/BaseModel.h>
+#include <unordered_set>
 
 namespace rnexecutorch {
 namespace models::instance_segmentation {
@@ -53,6 +54,8 @@ class BaseInstanceSegmentation : public BaseModel {
   std::optional<cv::Scalar> normStd_;
   bool applyNMS_;
   cv::Size modelImageSize{0, 0};
+  std::unordered_set<std::string> avalivableMethods_;
+  std::string currentlyLoadedMethod_;
 };
 } // namespace models::instance_segmentation
 

From eb80bb13138ad8d26aeb70e631a53daea731ff52 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 9 Mar 2026 07:15:04 +0100
Subject: [PATCH 10/56] Update gitignore

---
 .gitignore                                    |      3 +
 .../assets/models/smollm_tokenizer.json       |  98249 ------------
 .../assets/models/t2i_tokenizer.json          |  49540 -------
 .../integration/assets/models/test_image.jpg  |    Bin 490372 -> 0 bytes
 .../integration/assets/models/tokenizer.json  |  30675 ----
 .../assets/models/whisper_tokenizer.json      | 114840 ---------------
 .../common/rnexecutorch/tests/log.txt         |      1 -
 7 files changed, 3 insertions(+), 293305 deletions(-)
 delete mode 100644 packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/smollm_tokenizer.json
 delete mode 100644 packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/t2i_tokenizer.json
 delete mode 100644 packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/test_image.jpg
 delete mode 100644 packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/tokenizer.json
 delete mode 100644 packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/whisper_tokenizer.json
 delete mode 100644 packages/react-native-executorch/common/rnexecutorch/tests/log.txt

diff --git a/.gitignore b/.gitignore
index e52081a82a..76a51d0033 100644
--- a/.gitignore
+++ b/.gitignore
@@ -102,3 +102,6 @@ packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/mo
 *.tgz
 Makefile
 *.pte
+
+# Test assets
+packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/smollm_tokenizer.json b/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/smollm_tokenizer.json
deleted file mode 100644
index a1659ef89a..0000000000
--- a/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/smollm_tokenizer.json
+++ /dev/null
@@ -1,98249 +0,0 @@
-{
-  "version": "1.0",
-  "truncation": null,
-  "padding": null,
-  "added_tokens": [
-    {
-      "id": 0,
-      "content": "<|endoftext|>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 1,
-      "content": "<|im_start|>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 2,
-      "content": "<|im_end|>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 3,
-      "content": "<repo_name>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 4,
-      "content": "<reponame>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 5,
-      "content": "<file_sep>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 6,
-      "content": "<filename>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 7,
-      "content": "<gh_stars>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 8,
-      "content": "<issue_start>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 9,
-      "content": "<issue_comment>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 10,
-      "content": "<issue_closed>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 11,
-      "content": "<jupyter_start>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 12,
-      "content": "<jupyter_text>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 13,
-      "content": "<jupyter_code>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 14,
-      "content": "<jupyter_output>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 15,
-      "content": "<jupyter_script>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 16,
-      "content": "<empty_output>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    }
-  ],
-  "normalizer": null,
-  "pre_tokenizer": {
-    "type": "Sequence",
-    "pretokenizers": [
-      {
-        "type": "Digits",
-        "individual_digits": true
-      },
-      {
-        "type": "ByteLevel",
-        "add_prefix_space": false,
-        "trim_offsets": true,
-        "use_regex": true
-      }
-    ]
-  },
-  "post_processor": null,
-  "decoder": {
-    "type": "ByteLevel",
-    "add_prefix_space": true,
-    "trim_offsets": true,
-    "use_regex": true
-  },
-  "model": {
-    "type": "BPE",
-    "dropout": null,
-    "unk_token": null,
-    "continuing_subword_prefix": null,
-    "end_of_word_suffix": null,
-    "fuse_unk": false,
-    "byte_fallback": false,
-    "ignore_merges": false,
-    "vocab": {
-      "<|endoftext|>": 0,
-      "<|im_start|>": 1,
-      "<|im_end|>": 2,
-      "<repo_name>": 3,
-      "<reponame>": 4,
-      "<file_sep>": 5,
-      "<filename>": 6,
-      "<gh_stars>": 7,
-      "<issue_start>": 8,
-      "<issue_comment>": 9,
-      "<issue_closed>": 10,
-      "<jupyter_start>": 11,
-      "<jupyter_text>": 12,
-      "<jupyter_code>": 13,
-      "<jupyter_output>": 14,
-      "<jupyter_script>": 15,
-      "<empty_output>": 16,
-      "!": 17,
-      "\"": 18,
-      "#": 19,
-      "$": 20,
-      "%": 21,
-      "&": 22,
-      "'": 23,
-      "(": 24,
-      ")": 25,
-      "*": 26,
-      "+": 27,
-      ",": 28,
-      "-": 29,
-      ".": 30,
-      "/": 31,
-      "0": 32,
-      "1": 33,
-      "2": 34,
-      "3": 35,
-      "4": 36,
-      "5": 37,
-      "6": 38,
-      "7": 39,
-      "8": 40,
-      "9": 41,
-      ":": 42,
-      ";": 43,
-      "<": 44,
-      "=": 45,
-      ">": 46,
-      "?": 47,
-      "@": 48,
-      "A": 49,
-      "B": 50,
-      "C": 51,
-      "D": 52,
-      "E": 53,
-      "F": 54,
-      "G": 55,
-      "H": 56,
-      "I": 57,
-      "J": 58,
-      "K": 59,
-      "L": 60,
-      "M": 61,
-      "N": 62,
-      "O": 63,
-      "P": 64,
-      "Q": 65,
-      "R": 66,
-      "S": 67,
-      "T": 68,
-      "U": 69,
-      "V": 70,
-      "W": 71,
-      "X": 72,
-      "Y": 73,
-      "Z": 74,
-      "[": 75,
-      "\\": 76,
-      "]": 77,
-      "^": 78,
-      "_": 79,
-      "`": 80,
-      "a": 81,
-      "b": 82,
-      "c": 83,
-      "d": 84,
-      "e": 85,
-      "f": 86,
-      "g": 87,
-      "h": 88,
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-      "n": 94,
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-      "q": 97,
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-      "s": 99,
-      "t": 100,
-      "u": 101,
-      "v": 102,
-      "w": 103,
-      "x": 104,
-      "y": 105,
-      "z": 106,
-      "{": 107,
-      "|": 108,
-      "}": 109,
-      "~": 110,
-      "¡": 111,
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-      "£": 113,
-      "¤": 114,
-      "¥": 115,
-      "¦": 116,
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-      "¨": 118,
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-      "Ã": 142,
-      "Ä": 143,
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-      "Æ": 145,
-      "Ç": 146,
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-      "Ò": 157,
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-      "ectable": 49151
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-      "v a",
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-      "Ġupd ated",
-      "s im",
-      "Ġvirus es",
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-      "Ġpe ak",
-      "Ġprint ed",
-      "ari os",
-      "row ing",
-      "T ext",
-      "ĠT ry",
-      "Ġcomp ens",
-      "Ġwell being",
-      "Ġr anging",
-      "ĠChristian ity",
-      "ym ph",
-      "Ġvol can",
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-      "or ate",
-      "P art",
-      "ult s",
-      "og a",
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-      "Ġperson ality",
-      "Ġp it",
-      "ass es",
-      "Ġenem y",
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-      "b a",
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-      "ĠSec urity",
-      "f riend",
-      "Ġsurpr ising",
-      "Ġgluc ose",
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-      "Ġmod ified",
-      "err ing",
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-      "I F",
-      "ĠServ ices",
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-      "Ġworks he",
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-      "col umn",
-      "Ġimplement ing",
-      "ĠVal ue",
-      "st ack",
-      "ot ton",
-      "ĠV iet",
-      "F orm",
-      "Ġecosystem s",
-      "Ġrenew able",
-      "Ġprom ise",
-      "Ġam pl",
-      "Ġmet ers",
-      "Ġh un",
-      "k i",
-      "ĠI II",
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-      "ĠWhe ther",
-      "am ins",
-      "Ġaw ait",
-      "Ġpract icing",
-      "ort ed",
-      "ĠCarol ina",
-      "} )",
-      "Ġnarr ative",
-      "Ġc av",
-      "Ġd ates",
-      "S im",
-      "ut rition",
-      "Ġemphas is",
-      "E ven",
-      "ple te",
-      "R C",
-      "Ġt ables",
-      "Ġappro ved",
-      "Ġpos it",
-      "Ġfem ales",
-      "Ġmarket ing",
-      "Ġpref erences",
-      "oc king",
-      "ĠSar ah",
-      "Ġn ose",
-      "Ġexpl ored",
-      "Ġcomp osed",
-      "v ance",
-      "Ġclass ic",
-      "Ġt ub",
-      "ch arge",
-      "ĠI ran",
-      "c ore",
-      "ĠPart y",
-      "Ġplan ned",
-      "Ġs ad",
-      "', '",
-      "ĠO per",
-      "Ġgir l",
-      "est ions",
-      "ĠF ace",
-      "Ġdes ert",
-      "d ist",
-      "Ġweak ness",
-      "st on",
-      "Ġkid ney",
-      "se m",
-      "Ġdis aster",
-      "i ar",
-      "es ides",
-      "Ġautom atically",
-      "ĠS il",
-      "op ath",
-      "Ġann ounced",
-      "Ġm ixture",
-      "ĠChrist ians",
-      "P E",
-      "ĠPl ant",
-      "ad ing",
-      "Ġscient ist",
-      "b ug",
-      "Ġur l",
-      "Ġmort ality",
-      "Ġass ets",
-      "Ġbab ies",
-      "Ġord inary",
-      "Ġexpress ions",
-      "Ġimprove ments",
-      "Ġpur s",
-      "Ġkeep s",
-      "Ġprec ise",
-      "Ġdim ensions",
-      "Ġsla very",
-      "Ġre nder",
-      "Ġpo em",
-      "Ġindic ated",
-      "Ġanaly zing",
-      "ĠT ogether",
-      "Ġprov en",
-      "Ġconsider able",
-      "conn ected",
-      "Ġt ube",
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-      "Ġm ales",
-      "ens ional",
-      "Ġfall s",
-      "az ine",
-      "Ġl ingu",
-      "ĠU lt",
-      "Ġpar as",
-      "th is",
-      "Ġr ing",
-      "ut ely",
-      "In ter",
-      "Ġatt ach",
-      "Ġbr ush",
-      "Ġinsp iration",
-      "Ġsign ed",
-      "d oor",
-      "T rans",
-      "ES T",
-      "Ġlegis l",
-      "ov ascular",
-      "eg in",
-      "Ġgu ard",
-      "Ġch annels",
-      "Ġins ulin",
-      "Ġprof ile",
-      "Ġd b",
-      "w ind",
-      "Ġavail ability",
-      "Ġpan el",
-      "y al",
-      "Ġres id",
-      "el esc",
-      "Ġst rain",
-      "Ġproport ion",
-      "Ġla id",
-      "Ġtra its",
-      "ot ype",
-      "elf are",
-      "ad y",
-      "Ġwonder ful",
-      "ĠS at",
-      "low er",
-      "ins on",
-      "Ġp in",
-      "Ġmem ories",
-      "Ġc ash",
-      "Ġprov ed",
-      "ĠF ort",
-      "ud e",
-      "Ġt ons",
-      "Ġdecl ared",
-      "Ġdis par",
-      "ĠPro cess",
-      "ĠHol y",
-      "ĠB ack",
-      "Ġmeas uring",
-      "Ġun iform",
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-      "Ġcy cl",
-      "Ġfind s",
-      "Ġorig ins",
-      "ĠUn fortunately",
-      "Ġdis abilities",
-      "ĠDe v",
-      "Ġw ine",
-      "Ġext end",
-      "Ġtarget ed",
-      "U M",
-      "it ure",
-      "Ġvari eties",
-      "Ġra c",
-      "Ġcoun sel",
-      "Ġhe ating",
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-      "Ġsen ior",
-      "Ġdepend ent",
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-      "Ġper ception",
-      "Ġplan e",
-      "Ġsatell ite",
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-      "az on",
-      ") ]",
-      "Ġep is",
-      "ou rage",
-      "ia h",
-      "-------- ----",
-      "Ġprepar ing",
-      "Ġenh ancing",
-      "Ġpres erving",
-      "s en",
-      "Ġnorm s",
-      "A ut",
-      "Ġatt itudes",
-      "Ġident ification",
-      "y ou",
-      "Ġt act",
-      "less ly",
-      "Ġcl ub",
-      "Ġscen ario",
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-      "Ġexhib it",
-      "Ġm old",
-      "Ġdef end",
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-      "Ġt ension",
-      "ou nce",
-      "Ġele ction",
-      "Ġprovid er",
-      "t elling",
-      "Ġsaf ely",
-      "l ock",
-      "on al",
-      "Ġequ ation",
-      "Ġmicro b",
-      "Ġcount y",
-      "pro ject",
-      "Ġche st",
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-      "Ġremov al",
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-      "Ñ Ĥ",
-      "Ġcont ribution",
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-      "Ġdoll ars",
-      "Ġinhab it",
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-      "Ġpe er",
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-      "ĠB ob",
-      "Ġroad s",
-      "Ġv el",
-      "ĠSystem s",
-      "Ġhe m",
-      "Ġinsp ire",
-      "Ġs ampl",
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-      "Ġv ocabulary",
-      "Ġcelebr ate",
-      "Ġw ound",
-      "Ġconnect ing",
-      "ĠKing dom",
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-      "Ġtra ct",
-      "Ġint ensity",
-      "Ġextraord inary",
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-      "Ġfac ility",
-      "ĠStr ateg",
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-      "Ġwind ows",
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-      "ĠH and",
-      "Ex ample",
-      "u id",
-      "Ġim aging",
-      "Ġt urb",
-      "it ems",
-      "= {",
-      "Ġw arning",
-      "Ġh orses",
-      "Ġg ut",
-      "Ġfe at",
-      "Ġdecre ased",
-      "Ġl ie",
-      "Ġmaintain ed",
-      "Ġpros pect",
-      "Ġco verage",
-      "Ġmin ute",
-      "Ġopin ions",
-      "em ia",
-      "Ġst ere",
-      "Ġve ctor",
-      "ĠL ook",
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-      "Ġess ays",
-      "Ġabsol ute",
-      "Ġgal ax",
-      "Ġtheore tical",
-      "ĠIslam ic",
-      "Ġspect rum",
-      "Ġmicro sc",
-      "Ġal ive",
-      "Ġhon est",
-      "Ġdri ver",
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-      "Ġinteract ive",
-      "Ġpro hib",
-      "ĠIm port",
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-      "Ġh oney",
-      "ive red",
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-      "ĠZ eal",
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-      "ĠLear n",
-      "Ġc oc",
-      "ĠB usiness",
-      "ip her",
-      "Ġcapt iv",
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-      "Ġadv ances",
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-      "Ġh ur",
-      "Ġp ounds",
-      "Ġdef ect",
-      "empl ate",
-      "ail ing",
-      "Ġsp ir",
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-      "it amin",
-      "Ġbre eding",
-      "ĠA st",
-      "oh yd",
-      "Ġtrans lation",
-      "Ġprocess ed",
-      "Ġtem pl",
-      "ĠSu per",
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-      "i ological",
-      "t r",
-      "Ġvary ing",
-      "io x",
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-      "C P",
-      "Ġco operation",
-      "od ed",
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-      "Ġoffic ers",
-      "ĠSaf ety",
-      "Ġsil ver",
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-      "ĠH all",
-      "Ġab normal",
-      "ĠG rand",
-      "ĠFore st",
-      "Ġev il",
-      "Ġcere mon",
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-      "Ġpar agraph",
-      "Ġv an",
-      "ĠPl ay",
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-      "Ġrec over",
-      "ur is",
-      "Ġreport ing",
-      "Ġh oles",
-      "Ġqu ery",
-      "D S",
-      "Ġrare ly",
-      "H ist",
-      "ĠSe cret",
-      "Ġflow er",
-      "ĠOx ford",
-      "Ġcom plications",
-      "Ġloss es",
-      "Ġmig ration",
-      "Cl ass",
-      "Ġt ick",
-      "Ġprinc ipal",
-      "F A",
-      "Ġelim inate",
-      "Ġre verse",
-      "Ġcover ing",
-      "Ġscen arios",
-      "Ġint est",
-      "ign ed",
-      "Ġha ven",
-      "Ġreason able",
-      "Ġbi as",
-      "Ġprof it",
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-      "Ġsent ences",
-      "Ġaccom pan",
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-      "Ġtele vision",
-      "Ġr oughly",
-      "ĠRes ources",
-      "ĠD ou",
-      "Ġrec all",
-      "Ġtax es",
-      "ern el",
-      "Ġabs ence",
-      "Ġcent re",
-      "ĠE p",
-      "yn c",
-      "ĠF und",
-      "pre ne",
-      "fil ter",
-      "Ġseem ingly",
-      "Ġpack age",
-      "Ġcomp ound",
-      "Ġper ceived",
-      "Ġdom inant",
-      "Ġclaim ed",
-      "Ġcommit tee",
-      "ĠZeal and",
-      "ĠEngine ering",
-      "arch y",
-      "Ġf ault",
-      "Ġcomm ission",
-      "Ġhard ware",
-      "f eed",
-      "Ġfl avor",
-      "ĠT om",
-      "Ġphys ically",
-      "Ġembra cing",
-      "al og",
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-      "Ġtra ce",
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-      "Ġis lands",
-      "Ġaccur ately",
-      "ĠAl ice",
-      "Ġor bit",
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-      "ĠB ill",
-      "Ġcollect ions",
-      "Ġfunction ing",
-      "Ġpregn ant",
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-      "Ġc oding",
-      "ĠS up",
-      "E very",
-      "Ġd il",
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-      "Ġref lection",
-      "Ġsus cept",
-      "Ġrad ical",
-      "Ġc ab",
-      "re prene",
-      "Ġbal anced",
-      "ĠCon sequently",
-      "Ġv en",
-      "Ġcre w",
-      "Ġvari ation",
-      "Ġmem or",
-      "= (",
-      "ĠChrist mas",
-      "in cluding",
-      "Ġt ip",
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-      "ĠN um",
-      "ĠNet work",
-      "ĠL ead",
-      "Ġf ing",
-      "Ġminim al",
-      "ch ain",
-      "Ġdis h",
-      "ĠH T",
-      "ĠInd ians",
-      "Ġfour th",
-      "ĠOr ig",
-      "Ġlog ic",
-      "Ġemb ark",
-      "Ġcon qu",
-      "Ġflow s",
-      "ask a",
-      "Ġconfirm ed",
-      "m iss",
-      "Ġed ition",
-      "Ġl ists",
-      "ĠAg ency",
-      "Ġar rest",
-      "f ound",
-      "Ġhard er",
-      "cycl op",
-      "Ġloc k",
-      "ĠOn line",
-      "EC T",
-      "Ġhead s",
-      "Ġrequest s",
-      "Ġconscious ness",
-      "Ġo v",
-      "us cript",
-      "B ecause",
-      "Ġdesign ing",
-      "ocol ate",
-      "Ġwhe el",
-      "Ġinvestig ate",
-      "Ġto w",
-      "Ġbre aking",
-      "Ġflex ibility",
-      "Ġn odes",
-      "g a",
-      "Ġgra in",
-      "Ġsou l",
-      "Ġch am",
-      "Ġref erences",
-      "Ġinf o",
-      "Ġexam ined",
-      "ĠM ove",
-      "he imer",
-      "Ġquant um",
-      "ig ue",
-      "ĠH ill",
-      "ĠSw ed",
-      "Ġf o",
-      "re ction",
-      "P L",
-      "Ġb att",
-      "Ġwond ered",
-      "ens ed",
-      "Ġver tical",
-      "ul pt",
-      "ĠOrgan ization",
-      "ers ion",
-      "Ġvibr ant",
-      "Ġflex ible",
-      "Ġd uration",
-      "Ġopp osed",
-      "Ġr ational",
-      "Ġl ake",
-      "ĠE qu",
-      "c ut",
-      "N ext",
-      "ĠL im",
-      "othe rapy",
-      "ĠTh ree",
-      "ri ze",
-      "Ġher self",
-      "cs v",
-      "ĠM er",
-      "em b",
-      "al ities",
-      "Ġlight ing",
-      "ĠF act",
-      "ĠA R",
-      "ĠN orm",
-      "Ġy e",
-      "com mon",
-      "Ġparam eter",
-      "Ġb row",
-      "ru it",
-      "hem a",
-      "ĠB al",
-      "Ġauthent ic",
-      "Ġphr ase",
-      "ĠH osp",
-      "Ġch lor",
-      "Ġmount ains",
-      "Ġcontribut es",
-      "re ams",
-      "ab eth",
-      "Ġgrant ed",
-      "Ġlibr aries",
-      "C ons",
-      "Ġfish ing",
-      "Ġscre ening",
-      "Ġb ag",
-      "ĠL ittle",
-      "ĠCont in",
-      "et ary",
-      "Ġsurpr ise",
-      "ĠD en",
-      "ant ed",
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-      "Ġacqu ired",
-      "ĠAut hor",
-      "Ġmanif est",
-      "co very",
-      "Ġro se",
-      "Ġsp ark",
-      "Ġhaz ard",
-      "Ġant icip",
-      "Ġcall ing",
-      "ic y",
-      "se x",
-      "Ġprob ability",
-      "Ġcal ories",
-      "Ġresearc her",
-      "Ġachie ving",
-      "Ġcur ve",
-      "Ġdet ected",
-      "ĠC le",
-      "Ġdel ivered",
-      "Ġwor ship",
-      "Ġp ond",
-      "id ation",
-      "Ġben e",
-      "Ġmin eral",
-      "Ġgrow s",
-      "J ust",
-      "Ġtem por",
-      "Ġlo op",
-      "ur a",
-      "Ġsens or",
-      "ĠP lease",
-      "Ġclass ical",
-      "Ġf ra",
-      "Ġlands capes",
-      "Ġex ceed",
-      "Ġpe ers",
-      "Ġdo se",
-      "I O",
-      "Ġsav ed",
-      "Ġnum er",
-      "ut en",
-      "Ġsc ulpt",
-      "Ġtem ple",
-      "Ġpre ced",
-      "ĠP oint",
-      "Ġext ension",
-      "Ġcompet itive",
-      "Ġprop ag",
-      "Ġphenomen a",
-      "ol ar",
-      "Ġmotiv ation",
-      "Ġsong s",
-      ". ).",
-      "Ġglob e",
-      "ĠP olicy",
-      "Ġappe al",
-      "Ġdem ocracy",
-      "D ef",
-      "Ġinf ant",
-      "Ġabs or",
-      "Ġund ers",
-      "p ie",
-      "Ġvis ited",
-      "ir ms",
-      "ĠF igure",
-      "clus ions",
-      "Ġe ase",
-      "ĠRead ing",
-      "Ġbi om",
-      "ven ile",
-      "Ġdiam eter",
-      "Ġdis hes",
-      "Ġisol ated",
-      "per or",
-      "Ġcl othes",
-      "et a",
-      "ĠPract ice",
-      "ĠAdminist ration",
-      "ĠHe b",
-      "Ġcool ing",
-      "ĠC ross",
-      "Ġdeterm ining",
-      "u is",
-      "ost on",
-      "am ps",
-      "Ġtown s",
-      "čĊ čĊĠĠĠ",
-      "Ġcopy right",
-      "Ġbene ath",
-      "Ġpass word",
-      "ĠAss ess",
-      "th rough",
-      "Ġexpand ed",
-      "Ġc as",
-      "Ġdeterm ination",
-      "raint s",
-      "Ð ½",
-      "Ġpand emic",
-      "Ġadvance ments",
-      "ĠJ ul",
-      "ol n",
-      "m ask",
-      "Ġaltern atives",
-      "ac ent",
-      "Ġsur ge",
-      "Ġst ations",
-      "ĠP akistan",
-      "le ft",
-      "Ġenh anced",
-      "Ġne ural",
-      "Ġsuff ered",
-      "Ġcomp os",
-      "ĠConn ect",
-      "Ġf rust",
-      "Ġtem porary",
-      "ogen ic",
-      "pt ic",
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-      "Ġg ast",
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-      "Ġcoord inates",
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-      "Ġh ind",
-      "Ġ ×",
-      "Ġillust rations",
-      "plic it",
-      "id ae",
-      "och ond",
-      "vel t",
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-      "Ġnewsp apers",
-      "Ġr ou",
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-      "Ġbu gs",
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-      "Ġge ography",
-      "Ġconsider ably",
-      "Ġassum ption",
-      "Ġauton omy",
-      "Ġsurviv ors",
-      "Ġbrilli ant",
-      "Ġter rain",
-      "j ob",
-      "Ġdel ves",
-      "Ġenc oding",
-      "Ġfra ud",
-      "ĠS ab",
-      "Ġmar vel",
-      "Ġrom antic",
-      "ĠY e",
-      "RO M",
-      "ilib rium",
-      "ĠRom ans",
-      "Ġal arm",
-      "ĠCent ers",
-      ") [",
-      "app ropriate",
-      "ĠQ ur",
-      "Ġn urse",
-      "ĠUr ban",
-      "D id",
-      "Ġv ivid",
-      "Ġprotect s",
-      "ĠD aily",
-      "č ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
-      "Ġsign ature",
-      ". ||",
-      "ĠGovern or",
-      "Ġhun ger",
-      "Ġse arc",
-      "he astern",
-      "Ġper ipher",
-      "Ġsitu ated",
-      "hist ory",
-      "Ġl apt",
-      "ok es",
-      "N umber",
-      "s n",
-      "ĠA IDS",
-      "Ġfram es",
-      "Ġhost s",
-      "Ġrecept ors",
-      "Ġa rom",
-      "Ġb ases",
-      "ĠG ir",
-      "Ġver t",
-      "ĠT ax",
-      "arm a",
-      "Ġread ings",
-      "Ġch ip",
-      "Ġcontrad ict",
-      "re nd",
-      "ĠH ay",
-      "Ġunder graduate",
-      "line ar",
-      "Ġcoord inate",
-      "Ġtr ies",
-      "Ġm ol",
-      "Ġcop ing",
-      "ĠB alt",
-      "P ublic",
-      "Ġclos est",
-      "p air",
-      "Ġref ine",
-      "Ġl ig",
-      "Ġtrans action",
-      "us ers",
-      "ĠT y",
-      "but ton",
-      "Ġvulner ability",
-      "Ġtarget ing",
-      "Ġload ed",
-      "ĠO il",
-      "ential s",
-      "Ġge ographic",
-      "ub le",
-      "Ġz inc",
-      "Ġmass es",
-      "Ġpl ots",
-      "sec ution",
-      "cent er",
-      "m t",
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-      "Ind ex",
-      "urs day",
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-      "vel ation",
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-      "k al",
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-      "Ġn as",
-      "Ġex clusive",
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-      "ĠGuid elines",
-      "Ġunem ployment",
-      "Ġconclud e",
-      "ĠN i",
-      "Ġb ell",
-      ") /",
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-      "g rim",
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-      "Ġreg ression",
-      "Ġload s",
-      "Ġgalax ies",
-      "ol ves",
-      "Ġt ensor",
-      "Ġadop ting",
-      "Ġinvestig ated",
-      "Ġcross ing",
-      "AS E",
-      "Ġf ut",
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-      "ĠCreat ive",
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-      "Ġpath way",
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-      "Ġall ergy",
-      "Ġunw anted",
-      "Ġle ts",
-      "Ġprom ised",
-      "Ġbeh ave",
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-      "x b",
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-      "Ġshad ow",
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-      "hed ral",
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-      "sc ript",
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-      "ĠS her",
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-      "Ġc ues",
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-      "opath y",
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-      "nes day",
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-      "Ġen act",
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-      "clus ivity",
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-      "Ġan ten",
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-      "Ġout doors",
-      "ĠCont act",
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-      "ĠC op",
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-      "'] [",
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-      "ĠAdv anced",
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-      "Ġ //",
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-      "Ġc ensus",
-      "per ial",
-      "ĠJe an",
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-      "Ġgalax y",
-      "ap ore",
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-      "âĶĢ âĶĢ",
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-      "Ġco in",
-      "Ġinform al",
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-      "Ċ ĊĊĠĠĠ",
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-      "Ġroll ing",
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-      "ĊĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
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-      "ys ics",
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-      "Ġg el",
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-      "orient ed",
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-      "Ġsens ation",
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-      "ĠSt ories",
-      "ur ations",
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-      "m ount",
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-      "doc s",
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-      "Ġcurrent s",
-      "Ġind ication",
-      "l ades",
-      "Ġnew born",
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-      "Ġpig s",
-      "Ġ ||",
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-      "Ġmat plotlib",
-      "ĠPat ients",
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-      "Ġambit ious",
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-      "Ġbrand s",
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-      "Ġm ines",
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-      "ĠBen efits",
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-      "Ġind ices",
-      "Ġintent ions",
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-      "Ġresol ved",
-      "ĠIss ue",
-      "aut ions",
-      "Ġenthusi asts",
-      "Ġflu ores",
-      "Ġbiom ass",
-      "Ġtrig gered",
-      "Ġdes cent",
-      "Ġcor ners",
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-      "Ġmuseum s",
-      "ograph ies",
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-      "Ġhead ers",
-      "ĠProt ocol",
-      "Ġelectrom agnetic",
-      "acke xchange",
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-      "Ġschol arly",
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-      "Ġdeep en",
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-      "ĠL ady",
-      "ĠAst ron",
-      "l ook",
-      "ĠS ound",
-      "Ġwarm th",
-      "Ġteen agers",
-      "Ġanim ation",
-      "Ġhop ed",
-      "Ġhypert ension",
-      "Ġmagnific ent",
-      "is a",
-      "ĠF riends",
-      "ze ch",
-      "Ġinteract ing",
-      "Ġpresident ial",
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-      "Ġevery body",
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-      "Ġground breaking",
-      "D ev",
-      "Ġl ining",
-      "Ġcon form",
-      "Ġce ment",
-      "ĠMathemat ics",
-      "ĠIm perial",
-      "s ent",
-      "ot y",
-      "Ġintest inal",
-      "ĠUk raine",
-      "Ġc ous",
-      "ĠD ub",
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-      "A ccess",
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-      "d jango",
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-      "s pect",
-      "Ġappear ing",
-      "ĠSim ply",
-      "log ging",
-      "Ġr ip",
-      "Ġfit ted",
-      "pl aces",
-      "ĠHam ilton",
-      "Ġt ightly",
-      "ĠR ule",
-      "Ġmic row",
-      "ĠDis orders",
-      "ĠAN Y",
-      "ĠS alt",
-      "hes s",
-      "Ġrecogn ised",
-      "M arch",
-      "ed e",
-      "z es",
-      "Ġt et",
-      "ĠI oT",
-      "Ġper severance",
-      "Ġel astic",
-      "Ġtrag ic",
-      "ĠE ffective",
-      "Ġt err",
-      "Ġsusp ended",
-      "Ġc ake",
-      "Ġtal ented",
-      "Ġfrust ration",
-      "Ġint imate",
-      "i age",
-      "acter ia",
-      ". (",
-      "Ġst igma",
-      "Ġgr ate",
-      "Ġdocument ary",
-      "av al",
-      "Ġp ocket",
-      "es ar",
-      "Ġsc ans",
-      "Ġrelax ed",
-      "ĠU ntil",
-      "ĠUs ed",
-      "Ġ iv",
-      "Ġun lock",
-      "clud es",
-      "Ġselect ive",
-      "Ġconstruct ive",
-      "v able",
-      "ier ra",
-      "Ġfriends hips",
-      "Ġastron omers",
-      "Ġis ot",
-      "Ġauthor ized",
-      "ĠUnder stand",
-      "ĠE ating",
-      "Ġmon aster",
-      "L D",
-      "Ġw re",
-      "S V",
-      "off s",
-      "Ġex agger",
-      "Ġen ric",
-      "ĠG ospel",
-      "ĠBe yond",
-      "unt ime",
-      "ĠVen us",
-      "M c",
-      "ĠB eng",
-      "Ġinf rared",
-      "Ġli ability",
-      "Ġfl aw",
-      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
-      "Ġab ortion",
-      "que ue",
-      "Ġqu oted",
-      "Ġh iring",
-      "Ġt urtles",
-      "Ġl ady",
-      "ĠS ounds",
-      "Ġal kal",
-      "f ed",
-      "Ġprol if",
-      "Ġden y",
-      "Ġcycl ing",
-      "Ġgall ons",
-      "è ¯",
-      "Ġnew er",
-      "ĠImport ance",
-      "as ers",
-      "EN D",
-      "ĠF inn",
-      "ĠAn imals",
-      "Ġmunicip al",
-      "Ġdemand ed",
-      "ĠMain e",
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-      "Ġfor um",
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-      "ĠS ave",
-      "Ġex cer",
-      "Ġarm ies",
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-      "ĠSqu are",
-      "pe red",
-      "de code",
-      "] ):",
-      "ĠArab ia",
-      "Ġdies el",
-      "Ġsupp liers",
-      "cret ion",
-      "S ol",
-      "Lay out",
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-      "cl oud",
-      "ours es",
-      "Ġsubject ive",
-      "pl er",
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-      "th ree",
-      "ceed ings",
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-      "Ġbe aches",
-      "Ġbase ball",
-      "Ġgastro intestinal",
-      "ar b",
-      "Ġseiz ures",
-      "x a",
-      "å IJ",
-      "art z",
-      "Ġprof iciency",
-      "Ġfle e",
-      "D ig",
-      "ty p",
-      "Ġqual itative",
-      "Ġadmin ister",
-      "V er",
-      "Ġchromos ome",
-      "ed it",
-      "Ġan ts",
-      "Ġfil ament",
-      "Ġg ad",
-      "Ġd ir",
-      "Ġlaw yers",
-      "e ff",
-      "ĠExpl ain",
-      "Ġlight ning",
-      "Ġintric acies",
-      "ch at",
-      "Ġide als",
-      "ĠHig her",
-      "Ġclim b",
-      "Ġbu nd",
-      "Ġide ology",
-      "Ġintest ine",
-      "p ad",
-      "Ġtherap ists",
-      "P H",
-      "Ġthe ology",
-      "Ġs ql",
-      "ĠConnect icut",
-      "Ġ ĊĠĠĠ",
-      "Ġult rasound",
-      "Ġhyp ot",
-      "Ġsuper natural",
-      "Ġas leep",
-      "du e",
-      "es ian",
-      "Ġmembr anes",
-      "Ġass ass",
-      "Ġp ile",
-      "Ġcorrespond s",
-      "process ing",
-      "ira cy",
-      "ĠFa ith",
-      "Ġsqu ir",
-      "ĠEx press",
-      "ĠMic hel",
-      "lu g",
-      "Ġup ward",
-      "Ġun re",
-      "Ġfest ivals",
-      "raul ic",
-      "In it",
-      "F ound",
-      "p ulumi",
-      "Ġbus h",
-      "t ry",
-      "Ġseg regation",
-      "Ġax es",
-      "img ur",
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-      "Ġmaster y",
-      "Ġcomp ress",
-      "Ġbul let",
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-      "s a",
-      "Ġsal vation",
-      "Ġwaste water",
-      "g ments",
-      "Ġw and",
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-      "Ġc ables",
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-      "sm all",
-      "Ġmitig ation",
-      "Ġun conscious",
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-      "* ,",
-      "ĊĊ Ċ",
-      "pro g",
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-      "ant ry",
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-      "+ '",
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-      "Ġprejud ice",
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-      "Ġtr unk",
-      "Ġabnormal ities",
-      "D ist",
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-      "Ġcompar isons",
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-      "Ġthink ers",
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-      "ĠB arn",
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-      "Ġformer ly",
-      "Ġs ie",
-      "Ġlim b",
-      "ĠAlex and",
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-      "Ġbr ighter",
-      "ĠInf lu",
-      "ĠApp ly",
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-      "assert True",
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-      "ĠL ic",
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-      "Ġret reat",
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-      "ĠO klahoma",
-      "Ġaw esome",
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-      "Ġminor ities",
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-      "c ards",
-      "ĠW in",
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-      "Ġluck y",
-      "Ġped est",
-      "Ġtransc end",
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-      "ut o",
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-      "ĠIm plement",
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-      "count ry",
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-      "Ġinstall ing",
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-      "u pper",
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-      "Ġex clusion",
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-      "Ġlik ed",
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-      "Ġinterpre ting",
-      "fam ily",
-      "ĠTh ailand",
-      "Th ree",
-      "ĠProg rams",
-      "Further more",
-      "ĠHe at",
-      "Ġethnic ity",
-      "Ġsl ip",
-      "ĠB os",
-      "Ġreview ing",
-      "h alf",
-      "ve ctor",
-      "static method",
-      "ch anged",
-      "Ġab oard",
-      "Ġj e",
-      "Ġinter disciplinary",
-      "ci ously",
-      "Be ing",
-      "Z E",
-      "Ġpot s",
-      "Ġdescript ive",
-      "Ġsc ary",
-      "s ky",
-      "Ġle uk",
-      "ĠPlan et",
-      "ĠB or",
-      "Ġdef ensive",
-      "ĠFl ore",
-      "A pril",
-      "C ong",
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-      "Ġaccident ally",
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-      "ĠF oot",
-      "Ġprodu cer",
-      "Ġf right",
-      "ou ble",
-      "ĠR ot",
-      "ri ors",
-      "Ġen roll",
-      "ĠLe v",
-      "Ġreflect ive",
-      "agon al",
-      "ĠNap ole",
-      "Ġinn ocent",
-      "ĠPh arm",
-      "edi ence",
-      "ĠD ead",
-      "Ġbl ade",
-      "ang a",
-      "ĠExper iment",
-      "h n",
-      "ĠS H",
-      "Ġkn ife",
-      "Ġsan itation",
-      "ĠDat abase",
-      "Ġmet icul",
-      "Ġfif teen",
-      "ĠO k",
-      "ans k",
-      "Ġra cing",
-      "Ġspark ed",
-      "ĠB rig",
-      "Ġd urable",
-      "ĠCh annel",
-      "ĠE ye",
-      "Ġref lex",
-      "Ġconver ting",
-      "f i",
-      "Ġp ound",
-      "\" ].",
-      "ĠĠĠĠĠĠĠĠ ĠĠ",
-      "ĠM RI",
-      "Ġunder neath",
-      "az ines",
-      "ĠFreder ick",
-      "ra its",
-      "Ġceremon ies",
-      "acter ial",
-      "ly wood",
-      "Ġs ocket",
-      "Ġad here",
-      "Ġpere nn",
-      "Ġperform s",
-      "Ġgas oline",
-      "ĠO ak",
-      "Ġback up",
-      "Ġmot ors",
-      "Ġauthentic ity",
-      "us age",
-      "ĠAp ache",
-      "Ġprohib ited",
-      "Ġaccompany ing",
-      "Ġd orm",
-      "Per haps",
-      "Ġsw ift",
-      "ĠPre pare",
-      "Ġd awn",
-      "Ġwe ed",
-      "ĠO ri",
-      "Ġsmart phones",
-      "Ġadequ ately",
-      "Ġpadd ing",
-      "v ideo",
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-      "ĠB ishop",
-      "ram es",
-      "Ad ditionally",
-      "is l",
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-      "ec hes",
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-      "ç Ķ",
-      "Ġemb arr",
-      "Ġred irect",
-      "oth y",
-      "est ones",
-      "Ġp ays",
-      "c op",
-      "Ġre use",
-      "ĠL ive",
-      "ĠS S",
-      "ĠB rand",
-      "Ġinf est",
-      "ĠEmer gency",
-      "ĠPh oto",
-      "Ġsimilar ity",
-      "Ġ ----------",
-      "im eters",
-      "Ġsub mar",
-      "h um",
-      "Ġfl ip",
-      "app lication",
-      "on i",
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-      "it o",
-      "ch anging",
-      "Ġdel ays",
-      "Ġur inary",
-      "ĠReg ister",
-      "ve c",
-      "ir i",
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-      "ĠEd itor",
-      "Ġs ins",
-      "Ġreef s",
-      "at en",
-      "id ated",
-      "Ġinf erior",
-      "head s",
-      "ĠWe ight",
-      "Ġviol ation",
-      "oc ene",
-      "Ġdep ths",
-      "re r",
-      "j e",
-      "Cons ider",
-      "Ġexch anges",
-      "ro d",
-      "Ġdef orestation",
-      "ĠCol omb",
-      "P ort",
-      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ",
-      "ĠSaf e",
-      "D av",
-      "w ed",
-      "Ġment ions",
-      "Ġcelebr ations",
-      "exist ing",
-      "Ġveter ans",
-      "ĠSol omon",
-      "iqu ity",
-      "cul osis",
-      "Ġund oubtedly",
-      "Ġterm inology",
-      "ul us",
-      "Ñ ı",
-      "Ġens l",
-      "ĠL O",
-      "Ġdis charg",
-      "Ġco operative",
-      "Ġanticip ated",
-      "Ġbo iling",
-      "ĠD ict",
-      "Ġinj ust",
-      "Ġhob by",
-      "R T",
-      "Ġo un",
-      "ĠR ange",
-      "ax on",
-      "az y",
-      "qu estions",
-      "Ġtric ks",
-      "ĠG M",
-      "ĠB ron",
-      "ĠMc G",
-      "Ġmer ge",
-      "ru le",
-      "Ġref use",
-      "ĠSol utions",
-      "Ġprev ailing",
-      "Ġapp ar",
-      "ĠCol umn",
-      "O h",
-      "Ġt mp",
-      "ĠD akota",
-      "A ust",
-      "Ġp i",
-      "Ġcommission ed",
-      "Ġancest ral",
-      "is ure",
-      "ĠT her",
-      "ĠBi ological",
-      "tra ck",
-      "W ork",
-      "Ġd aughters",
-      "ĠD ental",
-      "p ine",
-      "Ġsp ill",
-      "Ġfart her",
-      "IV E",
-      "Ġciv ic",
-      "ĠVis it",
-      "Ġdepos it",
-      "Ġstro kes",
-      "Ġsh r",
-      "Ġgovern ed",
-      "Ġ Ù",
-      "Th anks",
-      "Ġd ur",
-      "oth ic",
-      "Ġpass words",
-      "atur ated",
-      "ad ers",
-      "Ġbroad ly",
-      "ĠMan ufact",
-      "Ġswe at",
-      "Ġaccel eration",
-      "Ġclim ates",
-      "Ġsim plicity",
-      "S te",
-      "Ġap ost",
-      "Ġcryst all",
-      "ir ts",
-      "Ġpract ically",
-      "Ex per",
-      "Ġten ure",
-      "G P",
-      "ĠM un",
-      "Ġtext books",
-      "ĠCit iz",
-      "Ġdev iation",
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-      "Ġcogn ition",
-      "ĠĠĠĠĠĠĠĠ ĠĠĠ",
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-      "Ġstress es",
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-      "Ġbutter flies",
-      "Ġse ism",
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-      "ĠExpl ore",
-      "Ġcannab is",
-      "Ġright eous",
-      "Ġpil grim",
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-      "Ġtra it",
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-      "Ġco h",
-      "class method",
-      "ij uana",
-      "ep rint",
-      "ĠMarsh all",
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-      "ĠAnn ual",
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-      "Ġh ay",
-      "ĠAmeric as",
-      "Ġv ascular",
-      "Ġr if",
-      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
-      "Ġperm issions",
-      "ĠD ry",
-      "ĠD I",
-      "els h",
-      "er ion",
-      "Ġge ological",
-      "ĠÂ ±",
-      "ĠExpl oration",
-      "ĠBro ther",
-      "ĠAct ive",
-      "Ġprospect s",
-      "s ocial",
-      "Ġdecor ative",
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-      "ĠUn less",
-      "ĠInt rodu",
-      "Ġexperiment ation",
-      "thon y",
-      "Ġweaken ed",
-      "Ġrec ess",
-      "Ġnon profit",
-      "ĠMan ual",
-      "ĠTechn ical",
-      "Ġtr illion",
-      "pro perties",
-      "Ġfun ny",
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-      "uss els",
-      "Ġdehyd ration",
-      "Ġmotif s",
-      "c over",
-      "Ġlight ly",
-      "ĠBapt ist",
-      "Ġn ail",
-      "Ġcont ag",
-      "add r",
-      "valid ate",
-      "g reat",
-      "Ġatt ent",
-      "čĊ čĊ",
-      "Ġendeav ors",
-      "ĠSil ver",
-      "ĠT el",
-      "Ġing en",
-      "Ġrab bits",
-      "ĠD escription",
-      "Ġwin ner",
-      "Ġbip olar",
-      "Ġl oses",
-      "O H",
-      "Ġg rie",
-      "Ġad renal",
-      "ara oh",
-      "Ġbl ades",
-      "ion e",
-      "Ġnever theless",
-      "Ġre nal",
-      "Al most",
-      "ĠIll ust",
-      "Ġobsc ure",
-      "ogene ous",
-      "Ġprob able",
-      "Ġpurs ued",
-      "Ġco herent",
-      "ĠPr iv",
-      "Ï Ģ",
-      "ĠArt icles",
-      "ĠT ip",
-      "ĠRail road",
-      "Ġl ubric",
-      "B s",
-      "ĠSub st",
-      "Ġactiv ist",
-      "Ġproport ional",
-      "Ġcig arette",
-      "ĠD iversity",
-      "pect ion",
-      "Ġpot tery",
-      "Ġhor ror",
-      "ĠSub ject",
-      "Ġcle ared",
-      "Ġneg lected",
-      "Des ign",
-      "Ġnational ism",
-      "h ou",
-      "Pub lished",
-      "Ġw ard",
-      "Ġwork out",
-      "Ġrepe ating",
-      "Ġconfident ly",
-      "Ġdece ased",
-      "f ten",
-      "ĠMor gan",
-      "ü r",
-      "e an",
-      "ĠLank a",
-      "P rim",
-      "Ġsew age",
-      "Ġcompet ent",
-      "ĠJu an",
-      "Ġcorpor ation",
-      "Ġ[ -",
-      "Ġevalu ations",
-      "ĠJ os",
-      "Ġbel ly",
-      "Ġsuscept ibility",
-      "Ġkey words",
-      "iv ial",
-      "Ï ĥ",
-      "n u",
-      "å Ń",
-      "Im port",
-      "Ġblo oms",
-      "ĠCath olics",
-      "R ight",
-      "Ġenact ed",
-      "Ġh inder",
-      "Ġsw ing",
-      "Ġcommand ed",
-      "S pace",
-      "Ġdep osition",
-      "ĠA le",
-      "Ġcommit tees",
-      "Ġemp owers",
-      "Ġrat ings",
-      "Ġlat itude",
-      "aware ness",
-      "Ġenl arg",
-      "Ġmat rices",
-      "Ġintention ally",
-      "Ġmas cul",
-      "Ġenerget ic",
-      "Ġcont ing",
-      "Ch ina",
-      "Ġe lic",
-      "Ġshad ows",
-      "Ġart illery",
-      "gr ass",
-      "Ġsh aft",
-      "Ġplay ground",
-      "ĠLiter acy",
-      "ĠProcess ing",
-      "om ething",
-      "ĠNev ada",
-      "as ury",
-      "im ag",
-      "Ġexpos ures",
-      "r b",
-      "N G",
-      "ĠZ one",
-      "ĠAt hens",
-      "Ġg i",
-      "Ġqu eries",
-      "ed a",
-      "ĠUN ESCO",
-      "Ġrecogn ise",
-      "Ġb arg",
-      "ĠY ale",
-      "g el",
-      "Ġsens ations",
-      "ĠMor ris",
-      "ĠT itan",
-      "r ise",
-      "Ġsh ades",
-      "Ġmar row",
-      "an ning",
-      "Ġdown ward",
-      "Ġbrain storm",
-      "Ġ Å",
-      "Ġproject ions",
-      "ĠOver all",
-      "Ġcred entials",
-      "N ET",
-      "Ġcaut ious",
-      "D D",
-      "e very",
-      "Ġhand les",
-      "ĠSet ting",
-      "Ġportray ed",
-      "ĠJoh ann",
-      "per cent",
-      "Ġsad ness",
-      "ck ed",
-      "represent ed",
-      "Ġdecent ral",
-      "ĠSt reng",
-      "pat hetic",
-      "Ġdi ary",
-      "Ġdi abetic",
-      "Ġdro pping",
-      "Ġfertil izers",
-      "ĠRand om",
-      "ĠE lements",
-      "Ġbl ur",
-      "k ernel",
-      "ĠB ry",
-      "ĠE gg",
-      "Ġco zy",
-      "ĠAd ult",
-      "Ġur ge",
-      "Ġwork flow",
-      "bl og",
-      "Ġreg imes",
-      "Ġsal iva",
-      "bl ank",
-      "Ġrich ness",
-      "Ġgall ery",
-      "č ĊĠĠĠĠĠĠĠĠ",
-      "Ġspir al",
-      "Ġfrust rated",
-      "M al",
-      "Ġtra dem",
-      "ĠCan al",
-      "ĠProv ince",
-      "le af",
-      "Ġlabor atories",
-      "on ian",
-      "Man ager",
-      "p hen",
-      "â ķ",
-      "ĠB eth",
-      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
-      "Ġglac iers",
-      "V AL",
-      "Ġmid st",
-      "Ġdig ging",
-      "âĢ¦ âĢ¦",
-      "ref erence",
-      "Ġc ad",
-      "qu ant",
-      "Ġrespond s",
-      "se cret",
-      "Ġp ork",
-      "Ġneg lig",
-      "of ten",
-      "Ġquick er",
-      "top ic",
-      "ch t",
-      "ap hy",
-      "bs ite",
-      "Ġh tml",
-      "Ġignor ance",
-      "b earing",
-      "Ġm arsh",
-      "ĠAct s",
-      "effic ients",
-      "ĠJour ney",
-      "ĠJ osh",
-      "it ous",
-      "al ion",
-      "ĠSt atus",
-      "ĠD im",
-      "Ġbu zz",
-      "Ġrect angular",
-      "Ġfol klore",
-      "Ġver ification",
-      "L Y",
-      "ĠCle ar",
-      "elect ric",
-      "ĠN ag",
-      "int end",
-      "Ġgu y",
-      "gen eral",
-      "Ġf ence",
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-      "Ġmart ial",
-      "ĠGe ographic",
-      "Ġjuris dict",
-      "Ġceram ic",
-      "ĠC BD",
-      "ex c",
-      "Ġhop efully",
-      "bour ne",
-      "Ġout ward",
-      "Ġhad n",
-      "Ġco il",
-      "ĠCre ation",
-      "ĠBe ijing",
-      "Ġmenstru al",
-      "Ġgu ys",
-      "Ġrep airs",
-      "Ġdel ving",
-      "Ġdis crete",
-      "Ġfle w",
-      "Ġlim itation",
-      "ĠC row",
-      "ĠM B",
-      "Ġbehavi ours",
-      "ĠD ynasty",
-      "ens ation",
-      "own ed",
-      "ĠNot ice",
-      "ĠIdent ifying",
-      "ĠD ream",
-      "a verage",
-      "p ent",
-      "ain ted",
-      "ĠH R",
-      "Ġind ul",
-      "Ġtrans gender",
-      "Ġsk learn",
-      "Ġdimin ished",
-      "bet ween",
-      "Ġst ats",
-      "Ġgl ad",
-      "be y",
-      "ĠPr ivate",
-      "Ġjournal ist",
-      "Ġfro gs",
-      "__ \":",
-      "Ph ot",
-      "Ġcur ved",
-      "Ġph il",
-      "ĠPh oen",
-      "Ġcham bers",
-      "ren ces",
-      "Ġsouth west",
-      "Ġlegend ary",
-      "Ġwor ries",
-      "Ġstim ulating",
-      "ic ion",
-      "h icle",
-      "ic he",
-      "res ources",
-      "ĠPh ill",
-      "Ġabol ition",
-      "re search",
-      "Ġobs erver",
-      "ĠOrgan ic",
-      "N orth",
-      "ĠC anyon",
-      "ĠEth ics",
-      "ĠColl ins",
-      "f uel",
-      "Ġbe ads",
-      "ract ice",
-      "Ġsen iors",
-      "Ġdefic iencies",
-      "á ¸",
-      "Ġl ively",
-      "ĠI l",
-      "ĠP ages",
-      "As k",
-      "ĠOffic er",
-      "T ree",
-      "ĠM ol",
-      "Ġcontribut ors",
-      "Ġsearc hes",
-      "Ġoff shore",
-      "ext ract",
-      "ĠInd ependent",
-      "Ġmass age",
-      "train ed",
-      "cc oli",
-      "ĠL aur",
-      "m esh",
-      "t k",
-      "level and",
-      "ĠAnton io",
-      "ĠM aj",
-      "Ġmonit ors",
-      "Ġexpend iture",
-      "la very",
-      "aunt ing",
-      "ĠD ial",
-      "ĠDis covery",
-      "ĠByz antine",
-      "Ġbl oss",
-      "ĠRe form",
-      "Ġ% (",
-      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ",
-      "v oc",
-      "Ġexpect ation",
-      "Ġveter inary",
-      "Ġbicy cle",
-      "C am",
-      "ev ents",
-      "Ġast on",
-      "Ġtransc ription",
-      "Ġdelib erate",
-      "Ġpredict ive",
-      "Ġsent iment",
-      "p end",
-      "ĠIS O",
-      "Ġbub ble",
-      "ess ert",
-      "Ġev id",
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-      "Ġbes ide",
-      "Ġl id",
-      "Ġl ap",
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-      "Ġdro ve",
-      "ĠU g",
-      "Ġdom inate",
-      "Ġsal ad",
-      "Ġprin ters",
-      "ad ow",
-      "ĠLe ban",
-      "Ġcatch ing",
-      "pol y",
-      "Ġm ating",
-      "Ġwh oles",
-      "ĠW at",
-      "Ġbl ast",
-      "Ġfasc inated",
-      "Ġbright ness",
-      "I OS",
-      "he it",
-      "Ġf onts",
-      "Ġass ured",
-      "ĠC ele",
-      "author ized",
-      "ĠRe covery",
-      "ĠOper ations",
-      "p b",
-      "Ġexpect ancy",
-      "ĠP O",
-      "Ġserv ant",
-      "Ġpain ts",
-      "ĠGo als",
-      "ĠH erm",
-      "Ġpossess ed",
-      "Log ger",
-      "Ġnorth west",
-      "ĠP as",
-      "ĠZ ion",
-      "Ġanticip ate",
-      "Ġprest igious",
-      "over ty",
-      "With in",
-      "ĠCa uses",
-      "ãĢ Ĥ",
-      "ĠE sc",
-      "Ġactiv ate",
-      "Go vern",
-      "ĠB orn",
-      "ĠTo kyo",
-      "Ġdisadvant age",
-      "w ear",
-      "Ġf ame",
-      "Intern ational",
-      "u ci",
-      "Ġrot ate",
-      "K S",
-      "g rowing",
-      "t own",
-      "Ġcarbohyd rate",
-      "ĠWalk er",
-      "ĠM aterial",
-      "ĠInst itutes",
-      "Ġattack ing",
-      "Ġeld ers",
-      "Ġprolif eration",
-      "j s",
-      "ĠRe comm",
-      "Ġnotice able",
-      "Ġe g",
-      "Ġvoy age",
-      "ĠHe y",
-      "Ġdesk top",
-      "Ġank le",
-      "ĠT ow",
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-      "Ġox idation",
-      "Ġs age",
-      "Ġ\" %",
-      "Ġconqu est",
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-      "] *",
-      "Ġdwar f",
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-      "Ġy arn",
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-      "Ġsatisf ying",
-      "ĠAbs ol",
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-      "ĠS ize",
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-      "ĠGh ana",
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-      "M ac",
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-      "Ġfac ets",
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-      "Ġinst itute",
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-      "n els",
-      "} .",
-      "Ġo t",
-      "ĠE pid",
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-      "ht aking",
-      "Ġmig rate",
-      "Ġmon keys",
-      "Ġbus es",
-      "Ġp ier",
-      "col lect",
-      "Ġdiplom atic",
-      "Ġt sun",
-      "ist ence",
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-      ": \\",
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-      "ĠAut o",
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-      "Ġmand ate",
-      "ot ions",
-      "Ġel uc",
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-      "Ġst ub",
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-      "ĠM olecular",
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-      "Ġlo os",
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-      "ĠNorm an",
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-      "tain ed",
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-      "ĠO ECD",
-      "ish able",
-      "Ġdom in",
-      "dat asets",
-      "Su ccess",
-      "ĠS ense",
-      "ĠGod dess",
-      "Ġacqu aint",
-      "ĠCor rect",
-      "Ġimmers ed",
-      "d oes",
-      "im show",
-      "Ġsp am",
-      "ĠK B",
-      "Ġair flow",
-      "ĠI DE",
-      "Ġper tains",
-      "Ġgra v",
-      "Ġsupplement al",
-      "allow ed",
-      "ĠComp onents",
-      "Ġa ided",
-      "Ġo ath",
-      "Ġh ues",
-      "ĠAl ger",
-      "Ġbr ushes",
-      "Ġib n",
-      "ĠCONDIT IONS",
-      "Ġs i",
-      "ĠG ust",
-      "] |",
-      "as us",
-      "ĠM all",
-      "Ġpr isons",
-      "M ES",
-      "Ġex cluding",
-      "ab ling",
-      "ac illus",
-      "ĠB O",
-      "pos ite",
-      "Ġtransform er",
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-      "Ben efits",
-      "á ½",
-      "arn er",
-      "Ġboost er",
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-      "L eft",
-      "et z",
-      "ĠO UT",
-      "Ġcons erved",
-      "H i",
-      "n ament",
-      "Ġch in",
-      "by te",
-      "ĠMon ument",
-      "Com par",
-      "ĠCap itol",
-      "Ġalgebra ic",
-      "it ian",
-      "ĠIn clude",
-      "Ġfarm land",
-      "osph ate",
-      "Ġtow els",
-      "ĠPalest inians",
-      "ĠYellow stone",
-      "Ġn emat",
-      "Ġdis close",
-      "Ġcircumst ance",
-      "Americ a",
-      "Ġsyll ables",
-      "M ex",
-      "ar ist",
-      "end point",
-      "ĠGra duate",
-      "Ġvent ures",
-      "Me et",
-      "direct ed",
-      "Ġrefres hing",
-      "and el",
-      "ass y",
-      "ĠV es",
-      "ety l",
-      "ĠPC B",
-      "Ġillum inating",
-      "ing ling",
-      "ĠM M",
-      "ĠF ant",
-      "Ġdr ums",
-      "Ġcy sts",
-      "ĠBl ake",
-      "ĠDr ink",
-      "Ġm ixtures",
-      "Ġsp elled",
-      "ĊĊ ĊĠĠĠĠĠĠĠ",
-      "Ġshare holders",
-      "V ector",
-      "Ġqu art",
-      "ĠLead ers",
-      "an ism",
-      "Ġant it",
-      "Ġfront al",
-      "Ġw iki",
-      "Ġdec olon",
-      "Ġvisual s",
-      "ĠCollect ions",
-      "G al",
-      "p ipe",
-      "y rin",
-      "Ġsmo other",
-      ") ')",
-      "E mail",
-      "F inding",
-      "ĠM old",
-      "Ġcohes ive",
-      "ĠGen ome",
-      "Ġmanif ested",
-      "Ġsuspect s",
-      "Cal cul",
-      "Ġrefine ment",
-      "Ġst ray",
-      "() ):",
-      "access ible",
-      "ĠTheod ore",
-      "lins pace",
-      "ra ines",
-      "ĠM ira",
-      "fl oor",
-      "Ġdra fting",
-      "Ġc uring",
-      "ar ate",
-      "ak ening",
-      "Ġrad ically",
-      "Ċĉĉ ĉĉĉĉĉĉĉĉ",
-      "X iv",
-      "Ġencounter ing",
-      "ugg ed",
-      "act ively",
-      "inc inn",
-      "Ġseaw ater",
-      "asg ow",
-      "d ry",
-      "um bs",
-      "up dated",
-      "Ġdesc ending",
-      "Ġeconom ist",
-      "Ġterm ination",
-      "Ġlab orers",
-      "ĠFr an",
-      "Ġn ested",
-      "Ġg rit",
-      "Ġhe n",
-      "Ġart ific",
-      "Ġtransc ends",
-      "Ġneat ly",
-      "Ġcanon ical",
-      "o ing",
-      "Ġmor b",
-      "Ġdys lexia",
-      "ä¸ ª",
-      "Ġdispar ity",
-      "ul ing",
-      "Ġperm iss",
-      "ĠDom ain",
-      "ĠDiagn osis",
-      "Ġplate au",
-      "ĠNeuro science",
-      "are rs",
-      "ĠTra ck",
-      "ose ph",
-      "Param eters",
-      "Ġutter ly",
-      "Ġpat ented",
-      "Ġl ice",
-      "Pre vious",
-      "Ġtract s",
-      "n em",
-      "Ġu m",
-      "Ġpatri ot",
-      "ĠGab riel",
-      "j ug",
-      "Ġharm onic",
-      "Ġhalf way",
-      "Ġb ake",
-      "om p",
-      "Ġmed iated",
-      "Ġassoci ates",
-      "Ġscript ures",
-      "ĠAdvent ure",
-      "ĠKrish na",
-      "m arg",
-      "Ġu gly",
-      "ĠCra ig",
-      "P erson",
-      "å °",
-      "Ġd aring",
-      "st aff",
-      "Ġse ize",
-      "ĠNeg ative",
-      "Ġavoc ado",
-      "ĠApp endix",
-      "Ġfresh ly",
-      "Ġcatast rophe",
-      "Ġrefere nd",
-      "Ġsp ells",
-      "oph one",
-      "run ner",
-      "F ar",
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-      "ĠRw anda",
-      "Ġj umps",
-      "Ġresist or",
-      "Ġmountain ous",
-      "ĠCh ang",
-      "Pro b",
-      "Ġbureau c",
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-      "pl aced",
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-      "In v",
-      "param et",
-      "Ġfamiliar ize",
-      "ĠBAS IS",
-      "ver ter",
-      "per haps",
-      "Ġrenew ables",
-      "ĠInflu ence",
-      "S en",
-      "it eration",
-      "Ġconsum es",
-      "ĠMus cle",
-      "ĠFe eling",
-      "Ġc ue",
-      "Ġbl ends",
-      "ox ins",
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-      "os ome",
-      "hold ing",
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-      "Ar thur",
-      "ĠProcess es",
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-      ".. .,",
-      "let ters",
-      "ĠEmp ower",
-      "ĠE fficiency",
-      "Ġdis position",
-      "ron ts",
-      "Ġg enders",
-      "ra peutic",
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-      "Ġanat omical",
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-      "Ġam en",
-      "ends with",
-      "Ġk ale",
-      "Ġread able",
-      "gu ided",
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-      "may be",
-      "Ġt ilt",
-      "Ġor anges",
-      "ĠSt ars",
-      "Ġiniti ating",
-      "Ġling ering",
-      "uc aly",
-      "Ġobject ion",
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-      "Ġintros pection",
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-      "Ġdep iction",
-      "ch ip",
-      "Ġst ing",
-      "ĠS ax",
-      "ac ic",
-      "ĠKe pler",
-      "AB ILITY",
-      "Ġintim idating",
-      "Ġsuperhero es",
-      "Ġaccred ited",
-      "Ġthe at",
-      "Ġav ian",
-      "isc her",
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-      "ipel ago",
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-      "Ġsem inars",
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-      "b ows",
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-      "ĠI an",
-      "Ġpro secution",
-      "ĠH aven",
-      "Ġauthor ization",
-      "Ġterm inals",
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-      "tra umatic",
-      "ĠC BT",
-      "ash a",
-      "ĠPl at",
-      "Ġdiscipl inary",
-      "Ġalter ation",
-      "ĠSand y",
-      "ad ows",
-      "Ġv icious",
-      "ĠU I",
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-      "Ġim b",
-      "Ġpre aching",
-      "imp act",
-      "Ġprog en",
-      "sh ared",
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-      "B ooks",
-      "aw k",
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-      "ĠScript ures",
-      "Japan ese",
-      "ï¬ ģ",
-      "S ep",
-      "at ology",
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-      "Ġj ur",
-      "Ġdown s",
-      "Pr ice",
-      "ĠS V",
-      "Ġper ce",
-      "ref lection",
-      "Bl ood",
-      "Ġdiss atis",
-      "ĠMind fulness",
-      "ĠLeon ardo",
-      "Ġabst raction",
-      "ĠKaz akh",
-      "_ %",
-      "w at",
-      "ĠM ari",
-      "ĠW iley",
-      "Ġbro th",
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-      "Ġment oring",
-      "ĠFunction al",
-      "F ont",
-      "r anging",
-      "en ames",
-      "ĠS ammy",
-      "ĠP AR",
-      "ĠSt ru",
-      "Ġsuprem acy",
-      "ĠB A",
-      "Ġinter generational",
-      "E PA",
-      "Ġfl ax",
-      "Ġlog ically",
-      "Ġam use",
-      "Ġindex es",
-      "Ġoste oarthritis",
-      "res cent",
-      "ĠV ern",
-      "Ġsign ify",
-      "Ġhar ms",
-      "ĠJul ian",
-      "Ġsubstr ates",
-      "ĠInfect ious",
-      "c as",
-      "e ither",
-      "ĠC AN",
-      "ĠQt Widgets",
-      "ĠAnat omy",
-      "c ss",
-      "f ramework",
-      "ĠIt em",
-      "Ġsecret ly",
-      "Ġdefect ive",
-      "system s",
-      "mid t",
-      "ig rams",
-      "Ġrep o",
-      "Ġrest orative",
-      "Ġshort ened",
-      "Ġsal v",
-      "config ure",
-      "Ġthunder storm",
-      "ĠJenn ifer",
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-      "Ġphys i",
-      "R ule",
-      "ĠK l",
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-      "Ġch ase",
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-      "Ġconvict ions",
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-      "Ġb box",
-      "Ġre create",
-      "Ġjud ging",
-      "ĠPrinc ipal",
-      "Ġdens ely",
-      "Ġafore mentioned",
-      "Ġsat ire",
-      "Ġbroad band",
-      "Ġnan o",
-      "ĠEc ological",
-      "Ġblank ets",
-      "Ġinverte brates",
-      "ĠCoff ee",
-      "Ġp amph",
-      "Ġshell fish",
-      "Ġunem ployed",
-      "F ailed",
-      "ĠG L",
-      "Ġmort ar",
-      "Ġconfron ting",
-      "Ġcess ation",
-      "f acing",
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-      "Ġtele communications",
-      "ĠMal colm",
-      "Ġpron ounce",
-      "M edia",
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-      "ang ible",
-      "Ġsou ps",
-      "Value Error",
-      "Orig inally",
-      "intend ent",
-      "ic uous",
-      "ob acteria",
-      "Ġmorb idity",
-      "D im",
-      "um ers",
-      "Ġcommun ism",
-      "Ġmeticul ously",
-      "Ġc reek",
-      "Ġlong itude",
-      "Ġrent al",
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-      "Ġannoy ing",
-      "F eed",
-      "i ates",
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-      "Ġhosp itality",
-      "Ġcris p",
-      "Ġb ison",
-      "Ġbelie ver",
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-      "res ize",
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-      "Ġkn ights",
-      "Ġcontradict ory",
-      "Ġoutwe igh",
-      "ert on",
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-      "Ġsan ction",
-      "Ġexplo iting",
-      "Ġsubt raction",
-      "Ġbol st",
-      "Ġopio ids",
-      "Ġanaly st",
-      "ĠEd it",
-      "Orig in",
-      "ĠSequ ence",
-      "Ġneighbour hood",
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-      "leg al",
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-      "Guid eline",
-      "ĠP ossible",
-      "ĠK ol",
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-      "Pat ients",
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-      "ipp les",
-      "Ġled ger",
-      "Ġcelebr ity",
-      "dec ay",
-      "bro ken",
-      "Ġredund ant",
-      "Ġal arms",
-      "ĠP ir",
-      "ĠJ M",
-      "it uting",
-      "ĠM ugh",
-      "Ġte eming",
-      "Ġem an",
-      "Ġconsult ants",
-      "Ġremem bers",
-      "Ġg out",
-      "Ġun seen",
-      "atter ing",
-      "cons ciously",
-      "Ġaggress ively",
-      "T ab",
-      "em e",
-      "Ġpublic ity",
-      "Ġz oning",
-      "ĠAll an",
-      "EN G",
-      "Ġbar ren",
-      "ĠArchae ological",
-      "Ġt au",
-      "ĠE EG",
-      "Ġsp rint",
-      "Ġappe aled",
-      "ĠIsland er",
-      "V irtual",
-      "ed itor",
-      "ĠW end",
-      "Ġwas ps",
-      "Ġdec oding",
-      "Ġmemor ize",
-      "il ine",
-      "Ġg it",
-      "Ġeight y",
-      "Ġmotor cycle",
-      "ĠExcell ence",
-      "F DA",
-      "ĠT on",
-      "Ġwith drew",
-      "Ġsk ating",
-      "ave ment",
-      "Almost Equal",
-      "aci ón",
-      "ĠGon z",
-      "b io",
-      "Ġpsych osocial",
-      "ĠFind ings",
-      "Ġgreet ing",
-      "ĠM Hz",
-      "sy nt",
-      "ĠBre aking",
-      "Ġhur ting",
-      "bi ased",
-      "ĠAdv ances",
-      "Ġbiod egradable",
-      "Ġfer ment",
-      "iche ver",
-      "v ine",
-      "le gged",
-      "am en",
-      "ass isted",
-      "RE G",
-      "AM S",
-      "ĠDef ence",
-      "Ġalign ing",
-      "ĠComb ine",
-      "Ġenvision ed",
-      "F ort",
-      "un ge",
-      "Ġgener als",
-      "Ġpsych oan",
-      "Ġrot ated",
-      "Ġdisapp ears",
-      "p airs",
-      "ĠG W",
-      "Ġpla ques",
-      "inv est",
-      "O ption",
-      "Ġ( âĢĺ",
-      "ĠLeg ion",
-      "Ġspons or",
-      "Ġr all",
-      "Ġfl amm",
-      "Ġric hes",
-      "Ġphil anthrop",
-      "? \",",
-      "f o",
-      "Ġex claimed",
-      "leg raph",
-      "ĠBulgar ia",
-      "ern er",
-      "Ġform ulations",
-      "Ġmac ular",
-      "Ġov ulation",
-      "Ġbreed ers",
-      "Ġpri zed",
-      "p adding",
-      "ĠL unar",
-      "Ġparad ise",
-      "z el",
-      "Ġg ing",
-      "qu ired",
-      "Ġpr ud",
-      "obal t",
-      "might y",
-      "_ )",
-      "å Į",
-      "ĠF rag",
-      "Ġdelight ed",
-      "c id",
-      "ĠW ake",
-      "ell ular",
-      "vers ely",
-      "iss on",
-      "c overed",
-      "Ġf used",
-      "ĠS ak",
-      "Ġsaf est",
-      "Ġconsult ations",
-      "Ġchron ological",
-      "Ġorche stra",
-      "ĠS ul",
-      "Ġcom ets",
-      "Ġbehav es",
-      "Ġpred atory",
-      "sub plot",
-      "Ġow ed",
-      "Ġco ils",
-      "Ġeffic iencies",
-      "sign ature",
-      "n ail",
-      "z ig",
-      "Ġd ries",
-      "Ġn ar",
-      "Ġant iqu",
-      "back ed",
-      "Ġim itation",
-      "ĠCom position",
-      "Ġtend erness",
-      "dem and",
-      "Set tings",
-      "Ġconcert ed",
-      "H IV",
-      "op ters",
-      "hy p",
-      "ĠWeb b",
-      "Ġcataly sts",
-      "D en",
-      "L ove",
-      "Ġsh amp",
-      "Ġsol vents",
-      "Ù ı",
-      "Ġem inent",
-      "Ġbar bar",
-      "ĠPat tern",
-      "Ob j",
-      "=[ ]",
-      "Ġcontempl ation",
-      "H ot",
-      "Ġre used",
-      "ĠS aving",
-      "Ġpo aching",
-      "isc us",
-      "Ġphen otype",
-      "Cont emporary",
-      "ĠQt Gui",
-      "ĠGH G",
-      "w en",
-      "st rap",
-      "ĠA im",
-      "ĠSp ani",
-      "ĠAdapt ation",
-      "Ġt x",
-      "se us",
-      "Ġper il",
-      "ote ch",
-      "ĠUs age",
-      "ä¸ į",
-      "Ġpiv ot",
-      "Ġreferen cing",
-      "Ġresent ment",
-      "p oor",
-      "Ġlog arith",
-      "Ġprim er",
-      "Ġanaly tic",
-      "que ous",
-      "ĠSol ving",
-      "Ġapost les",
-      "Ġspawn ing",
-      "Ġinnoc ence",
-      "res id",
-      "ox id",
-      "Ġclean ers",
-      "Äģ n",
-      "Ġstead fast",
-      "Ġintra venous",
-      "D EL",
-      "W ed",
-      "ret ch",
-      "ĠInter section",
-      "ultane ously",
-      "ĠHy brid",
-      "er ian",
-      "is ites",
-      "av ar",
-      "arc in",
-      "ĠCl aim",
-      "Ġclean liness",
-      "Ġund et",
-      "ĠCult ures",
-      "Ġinconsist encies",
-      "S ix",
-      "w ali",
-      "ur face",
-      "Ġdeg rade",
-      "Ġign ition",
-      "Ġmort al",
-      "ais er",
-      "ĠLever aging",
-      "Ġdisg ust",
-      "D iet",
-      "Î ¶",
-      "ro ly",
-      "Ġper for",
-      "met al",
-      "ĠSl ave",
-      "Ġgrace fully",
-      "Ġneurotransmit ters",
-      "ĠC in",
-      "ge ometry",
-      "og as",
-      "Ġsun k",
-      "ĠSer ge",
-      "ĠKenn eth",
-      "ĠDun can",
-      "Ġmiscon duct",
-      "n ear",
-      "ĠN u",
-      "Ġpl ac",
-      "Ġsm iling",
-      "fil tered",
-      "Ġpersu aded",
-      "Ġgroom ing",
-      "Ġ icy",
-      "ĠP rel",
-      "ĠD y",
-      ".. ...",
-      "ER N",
-      "R ay",
-      "Ġinc ision",
-      "Ġdirect s",
-      "Ġnarrow ing",
-      "Ġdesper ately",
-      "m ort",
-      "ore an",
-      "Ġinv oked",
-      "ĠSh op",
-      "Ġeld est",
-      "E arl",
-      "ag ara",
-      "Ġimp rint",
-      "Ġx en",
-      "čĊ čĊĠĠĠĠĠĠĠĠĠĠĠ",
-      "ĠBro oks",
-      "MOD EL",
-      "T yp",
-      "k ov",
-      "abet ics",
-      "Ġmood s",
-      "ĠMed itation",
-      "Ġobserv ance",
-      "ros so",
-      "Ġclim bed",
-      "Ġbright est",
-      "ĠPakistan i",
-      "ĠLeon ard",
-      "nl m",
-      "Ġbapt ized",
-      "Interest ingly",
-      "Ġmemoir s",
-      "ĠCroat ia",
-      "Ã °",
-      "Ġfe ats",
-      "Ġrem od",
-      "Ġinter connect",
-      "'] ]",
-      "ae a",
-      "Ġcloud y",
-      "Ġdrain ing",
-      "ĠJac ques",
-      "Ġpediatric ian",
-      "ĠThe ology",
-      "ĠBi omed",
-      "ĠCrit ics",
-      "ĠCert ified",
-      "G ard",
-      "ĠQ U",
-      "och astic",
-      "ĠG ru",
-      "Ġmon soon",
-      "Ġalumin ium",
-      "Ġflee ing",
-      "ĠHoo ver",
-      "H or",
-      "ra x",
-      "Ġqu i",
-      "Ġclass ifications",
-      "He at",
-      "Ġcel ery",
-      "aphy l",
-      "ph ilis",
-      "zz les",
-      "f ailed",
-      "á ¿",
-      "comp any",
-      "ĠCam eron",
-      "ĠDeg ree",
-      "Ġdisreg ard",
-      "suff ix",
-      "Ġst if",
-      "ps is",
-      "HO ST",
-      "Ġimpro vis",
-      "Ġdevast ation",
-      "Point s",
-      "Ġenlight ened",
-      "an other",
-      "ĠT ale",
-      "Ġlit ers",
-      "rh osis",
-      "Ġ( ~",
-      "CO MP",
-      "rot ation",
-      "igm atic",
-      "Fe eling",
-      "ĠIntrodu cing",
-      "s an",
-      "v irus",
-      "Ġtempt ed",
-      "Integer Field",
-      "NOT E",
-      "K D",
-      "d ynamic",
-      "Ö ¸",
-      "ĠI con",
-      "cy cles",
-      "Ġsim mer",
-      "ĠCal if",
-      "Ġspot ting",
-      "Ġcentr ifug",
-      "Ġhelp ers",
-      "HO W",
-      "mult iple",
-      "ĠRebell ion",
-      "G reek",
-      "L T",
-      "ĠS ou",
-      "Ġex ternally",
-      "ĠB acon",
-      "Ġcl one",
-      "omen cl",
-      "ĠBlock chain",
-      "asci i",
-      "ĠL act",
-      "ach y",
-      "ĠResp ond",
-      "ĠM int",
-      "Ġhyper activity",
-      "Ne uro",
-      "ĠSE O",
-      "Ġrival ry",
-      "WH AT",
-      "ĠInvent ory",
-      "Ġ( +",
-      "ĠN as",
-      "ole cules",
-      "Ġten ants",
-      "ĠFocus ing",
-      "Ġalleg iance",
-      "h it",
-      "m pp",
-      "Ġcon duction",
-      "ib a",
-      "Ġbra king",
-      "Ġfiref ighters",
-      "b ly",
-      "Ġinv asions",
-      "ĠFore sts",
-      "Ġstal ks",
-      "Ġb if",
-      "ĠA wards",
-      "ĠC raw",
-      "ĠâĢľ âĢ¦",
-      "ĠLe aves",
-      "rew s",
-      "Ġagg regation",
-      "Ġfle a",
-      "ĠTal iban",
-      "setObject Name",
-      "s ound",
-      "Ġde generative",
-      "ĠM LA",
-      "ne ur",
-      "lic ations",
-      "Ġstr ife",
-      "Ġrevolution ize",
-      "it ize",
-      "Ġpot ting",
-      "Ġappropri ation",
-      "ĠNe ptune",
-      "assert AlmostEqual",
-      "ĠT emplate",
-      "ĠA SC",
-      "um bers",
-      "ĠSt im",
-      "Ġinvol untary",
-      "Ġnovel ty",
-      "ĠPra irie",
-      "S qu",
-      "b old",
-      "on na",
-      "Ġtyp ed",
-      "We ight",
-      "ript ions",
-      "Ġwr ath",
-      "O O",
-      "R isk",
-      "ĠG ain",
-      "ĠK au",
-      "ĠUS E",
-      "ĠGe ology",
-      "AN K",
-      "osc ale",
-      "Ġw agon",
-      "Ġmat s",
-      "ĠNob le",
-      "Develop ment",
-      "larg est",
-      "ĠHiro sh",
-      "Ġa pes",
-      "in p",
-      "ĠRome o",
-      "ar as",
-      "Ġl eng",
-      "and as",
-      "isc opal",
-      "Ġcommand ing",
-      "Ġru ined",
-      "Ġgym n",
-      "Ġdictators hip",
-      "Ġ( `",
-      "Ġun att",
-      "aw ing",
-      "Ġreact ing",
-      "ĠForest ry",
-      "pay ment",
-      "Ġtroubles h",
-      "Ġre plicated",
-      "Ġg arrison",
-      "vers ions",
-      "Ġvigor ously",
-      "N Y",
-      "w ald",
-      "ĠA DA",
-      "os l",
-      "ĠL ocated",
-      "Ġind ig",
-      "Ġag endas",
-      "Ġover use",
-      "Ġtim elines",
-      "Ġplastic ity",
-      "mount ed",
-      "Ġsubmar ines",
-      "Ġpave ment",
-      "Ġcact us",
-      "Ġm aze",
-      "Ġnot icing",
-      "ces ter",
-      "Ġdict ated",
-      "Ġproof s",
-      "Ġmalf unction",
-      "ococ cal",
-      "Ġresurg ence",
-      "s ources",
-      "v ag",
-      "il let",
-      "ĠS B",
-      "Ġobs ession",
-      "rupt ed",
-      "\" +",
-      "re x",
-      "ĠBe coming",
-      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
-      "Ġherb icide",
-      "Ġembod iment",
-      "ĠEis enhower",
-      "Ġsp h",
-      "Ġlaw makers",
-      "Ġstorm water",
-      "ĠHV AC",
-      "× Ķ",
-      "Ġsh ields",
-      "ĠO H",
-      "Ġtrans national",
-      "Ġfil aments",
-      "Ġsummar izes",
-      "Ġphon ics",
-      "ĠElectric ity",
-      "ju ven",
-      "aphy loc",
-      "S che",
-      "Ġin advert",
-      "ab ric",
-      "ĠAr ms",
-      "ĠVal idation",
-      "å ½",
-      "ĠL oren",
-      "gg y",
-      "Al low",
-      "Ġthr ives",
-      "Ġlibr arians",
-      "Ġreplic a",
-      "T ex",
-      "s olution",
-      "(' _",
-      "ĠRes ilience",
-      "ĠPh one",
-      "Ġfurn ished",
-      "predict ions",
-      "ॠĩ",
-      "Ġbull ied",
-      "ĠBeaut y",
-      "Ġprag matic",
-      "ĠK arn",
-      "erm al",
-      "Ġtre k",
-      "Ġwheel chair",
-      "ĠLib eration",
-      "ĠPhotos hop",
-      "Ġflatten ed",
-      "ĠPyram id",
-      "Ġpl edged",
-      "Ġpred ation",
-      "Ġflo ats",
-      "Ġtor ped",
-      "Ġque ens",
-      "Ġorche str",
-      "Ġpatriarch al",
-      "B oolean",
-      "t rial",
-      "at oms",
-      "ĠO st",
-      "ens ure",
-      "Ġcar rot",
-      "Ġpar aly",
-      "ĠP erman",
-      "hy a",
-      "ĠKind ergarten",
-      "Ġpilgrim s",
-      "P et",
-      "f ishing",
-      "ver ify",
-      "ik u",
-      "ĠEv angel",
-      "Ġprev ailed",
-      "ĠNic arag",
-      "ĠKit chen",
-      "ĠB S",
-      "ĠW alking",
-      "orith ms",
-      "Gen esis",
-      "Ġheter ogeneous",
-      "---------------------------- --",
-      "Ġf auc",
-      "ĠF rame",
-      "ne utral",
-      "Ġap opt",
-      "ĠHaz ard",
-      "wal ks",
-      "ĠHep atitis",
-      "d ala",
-      "eth nic",
-      "Ġflu ent",
-      "bl adder",
-      "Ġallerg en",
-      "ĠTor res",
-      "ĠAt omic",
-      "iet ies",
-      "Ġstric ter",
-      "d k",
-      "ing o",
-      "Ġanaly zes",
-      "Ġrot ational",
-      "ĠLoc ke",
-      "Ġpals y",
-      "it ability",
-      "ch le",
-      "Int rodu",
-      "Ġsel ves",
-      "Ġrecru iting",
-      "usch witz",
-      "Ġcon ject",
-      "ĠP ill",
-      "Ġj og",
-      "ĠJohn ston",
-      "ĠGen erate",
-      "ठ¨",
-      "ĠGi ov",
-      "ï ¸",
-      "ĠâĢľ [",
-      "ĠMon roe",
-      "ĠRed uced",
-      "Ġanten nas",
-      "ĠUC LA",
-      "Ġtect onic",
-      "ther mal",
-      "Ġstr ata",
-      "Ġfeed ers",
-      "ĠReg ulatory",
-      "Ġrecept ive",
-      "ĠGaz ette",
-      "us cular",
-      "ĠTh ames",
-      "ĠDem and",
-      "Ġhack ing",
-      "ĠEpidem iology",
-      "s ensor",
-      "æ Ŀ",
-      "Ġf erv",
-      "Ġfin er",
-      "Ġsing ers",
-      "orb id",
-      "Writ er",
-      "ĠMarc us",
-      "Ġoun ce",
-      "im ating",
-      "ĠP ART",
-      "Ġperpet ual",
-      "Ġstyl istic",
-      "Ġrecei pt",
-      "Ġha il",
-      "Ġsc out",
-      "Ġpol ls",
-      "... )",
-      "Wh atever",
-      "Ġinstrument ation",
-      "Ġcock ro",
-      "Ġovert urn",
-      "ĠRichards on",
-      "ĠEd en",
-      "Ġsea weed",
-      "Ġwear able",
-      "Ġhur ts",
-      "Ġcircul ate",
-      "Av ailable",
-      "Ġbrut ality",
-      "ĠAss ign",
-      "Ġinsect icide",
-      "Ġr ins",
-      "lic ense",
-      "ick ness",
-      "Ġche at",
-      "An cient",
-      "Ġpan or",
-      "Ġirrit able",
-      "b ill",
-      "Ġsl ab",
-      "Ġremn ant",
-      "Ġst all",
-      "ĠR ew",
-      "ĠG aul",
-      "ĠIs le",
-      "Ġetc hed",
-      "Ġautobi ography",
-      "ĠJen kins",
-      "ĠCret aceous",
-      "v r",
-      "ĠI stanbul",
-      "ĠP uebl",
-      "ĠH erc",
-      "ĠQu iz",
-      "Ġstar ters",
-      "Ġpupp et",
-      "Ġaph ids",
-      "Ã ®",
-      "Ġinnov ators",
-      "educ ated",
-      "ep hal",
-      "Ġbro ch",
-      "ĠPar as",
-      "CO M",
-      "ĠOut side",
-      "Ġhospital ization",
-      "CL ASS",
-      "æľ ī",
-      "ĠFilip ino",
-      "Ġsh ines",
-      "Ġcl aws",
-      "Pro file",
-      "ĠOver coming",
-      "ĠIS S",
-      "Ġstick ers",
-      "Ġfloss ing",
-      "Ġdr illed",
-      "cont ains",
-      "ĠAssoci ates",
-      "C ath",
-      "ĠJeff rey",
-      "Ġmetaph ysical",
-      "ĠFou rier",
-      "Ġp ian",
-      "ĠP orter",
-      "ĠG ren",
-      "Ġacqu ainted",
-      "Ġded uct",
-      "wood s",
-      "ĠAtt end",
-      "ric ia",
-      "Com ment",
-      "Ġhom osexuality",
-      "Ġb g",
-      "pe ated",
-      "Ġloc ating",
-      "Ġel oqu",
-      "Ġcorrid ors",
-      "ucalypt us",
-      "Ġd umb",
-      "Ġint ently",
-      "Ġdust y",
-      "Ġintens ely",
-      "Ġsynthes ize",
-      "D ialog",
-      "h aw",
-      "p ole",
-      "ĠP ush",
-      "Ġch asing",
-      "Ġeth ically",
-      "Ġund en",
-      "Ġtro op",
-      "aug hed",
-      "Ġerad ication",
-      "Ġclot ting",
-      "Ġunexpl ained",
-      "Ġaccus ations",
-      "M ur",
-      "as semb",
-      "ph rine",
-      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
-      "T ele",
-      "o ining",
-      "Ġt ertiary",
-      "ĠM ood",
-      "RE QU",
-      "Par ams",
-      "Ġnu isance",
-      "Ġconfine ment",
-      "Ġsp leen",
-      "ĠDo ct",
-      "Ġlat itudes",
-      "ĠWhe at",
-      "Ġintr usion",
-      "Ġdiver gent",
-      "Ġentrepreneur ial",
-      "Ġdemol ished",
-      "Inc orpor",
-      "ly s",
-      "ĠHel ping",
-      "Health y",
-      "Ġpir ate",
-      "in ism",
-      "ff t",
-      "Ġinteg rates",
-      "Ġlymph oma",
-      "× ¨",
-      "Ġl as",
-      "Ġconf isc",
-      "Ġord ained",
-      "Ġreper cussions",
-      "ĠT ort",
-      "ĠW inn",
-      "Ġur ges",
-      "Ġconce al",
-      "estab lish",
-      "Ġpair ing",
-      "Ġinterf ering",
-      "ĠS oul",
-      "ĠF lying",
-      "Ġlife cycle",
-      "Ġfire arms",
-      "ĠTown ship",
-      "Ġdenom inator",
-      "iqu ed",
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-      "Ġimpact ful",
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-      "Te X",
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-      "ĠTe legraph",
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-      "оР»",
-      "ĠPom pe",
-      "ĠS we",
-      "ĠR acial",
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-      "Ġbit coin",
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-      "m oney",
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-      "ogg les",
-      "c us",
-      "t ier",
-      "Ġa ust",
-      "Ġspray ed",
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-      "ĠC raft",
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-      "ĠMal ay",
-      "**************** ****************",
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-      "H appy",
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-      "ĠM ell",
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-      "ĠG ur",
-      "á s",
-      "- )",
-      "t imer",
-      "Ġf eline",
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-      "ĠImp acts",
-      "Trans form",
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-      "(' <",
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-      "× ľ",
-      "Ġa queous",
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-      "N ov",
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-      "re new",
-      "if lower",
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-      "as per",
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-      "ĠMach ines",
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-      "D aily",
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-      "Ġrest ruct",
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-      "f ied",
-      "Ġn oodles",
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-      "ĠV AT",
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-      "Ġartic ulated",
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-      "\\ *",
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-      "ĠArticle Google",
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-      "ĠMillenn ium",
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-      "Ġr ye",
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-      "och rom",
-      "Ġghost s",
-      "abol ism",
-      "ay ed",
-      "ĠB ug",
-      "em eter",
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-      "Hy per",
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-      "G rowing",
-      "w alls",
-      "à ¹",
-      "at an",
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-      "ĠAd olesc",
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-      "W M",
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-      "umn i",
-      "DE X",
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-      "ĠF P",
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-      "am ide",
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-      "or ry",
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-      "Ġbur row",
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-      "D ou",
-      "Ñ Ĩ",
-      "ar um",
-      "Ġl ace",
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-      "one ment",
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-      ": '",
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-      "Ġpropos itions",
-      "Ġbound ed",
-      "cut ting",
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-      "ifix ion",
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-      "ne apolis",
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-      "ill on",
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-      "Spe aking",
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-      "Ġtr unks",
-      "Ġorder ly",
-      "Ġcompet itor",
-      "Ġmag ist",
-      "ç ão",
-      "Ġc yn",
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-      "Re LU",
-      "rog raph",
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-      "Ġcataly tic",
-      "Ġmarch ing",
-      "Ġdisproportion ate",
-      "Ġtreacher ous",
-      "Typ ically",
-      "ĠW ine",
-      "Ġchild care",
-      "Ġprog esterone",
-      "sect or",
-      "lean or",
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-      "atal og",
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-      "it ively",
-      "ut ors",
-      "ĠD uc",
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-      "Ġed ema",
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-      "b road",
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-      "Ġkil ogram",
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-      "Ġins urg",
-      "Ġsuit ability",
-      "Ġserial izer",
-      "Ġcro pping",
-      "Ġgrie v",
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-      "ĠP urchase",
-      "ore g",
-      "ind le",
-      "Ġcommun ion",
-      "Ġaff luent",
-      "ĠÎ µ",
-      "Ġcaptiv ated",
-      "Ġthank ed",
-      "C ast",
-      "Ġk ernels",
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-      "Ch ronic",
-      "alle ts",
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-      "ĠCl ause",
-      "Ġcircum cision",
-      "Ġlob es",
-      "Ġoverth row",
-      "Ġprerequ isite",
-      "o ating",
-      "Ġ ....",
-      "ĠV edic",
-      "ss h",
-      "Ġsk ys",
-      "е ÑĤ",
-      "Ġmanual s",
-      "Ġathe rosclerosis",
-      "emeter ies",
-      "Ġs addle",
-      "ĠE F",
-      "iet z",
-      "Ġsuff ice",
-      "Ġtransplant ed",
-      "L ower",
-      "Â ¬",
-      "Ġt ents",
-      "ĠIt ems",
-      "ateg orical",
-      "ĠAst roph",
-      "Ġplag ued",
-      "Ġprincip als",
-      "Ġd é",
-      "and ers",
-      "ci ences",
-      "ĠMin imum",
-      "Cont roller",
-      "ö n",
-      "calcul ate",
-      "â ģ",
-      "ib eral",
-      "Ġrev ived",
-      "umb ai",
-      "ĠClass es",
-      "ĠOut look",
-      "Ġlav ender",
-      "Ġvolt ages",
-      "c u",
-      "Ġcomm ons",
-      "Ġinf initely",
-      "Ġest u",
-      "ĠPres chool",
-      "Ġgarden er",
-      "Ġce il",
-      "Ġcort ical",
-      "Ġbom bers",
-      "Micro soft",
-      "Ġpept ides",
-      "Ġelect roph",
-      "ĠMe cca",
-      "Ġcaptiv ate",
-      "Ġbronch itis",
-      "CAS CADE",
-      "A li",
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-      "Ġintern ship",
-      "ON T",
-      "ĠMan age",
-      "Ġcuc umber",
-      "C opy",
-      "Ġrel iant",
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-      "ha o",
-      "cap acity",
-      "ï¼ ī",
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-      "Ġadvers aries",
-      "\\_ \\_",
-      "Pass word",
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-      "r ification",
-      "le hem",
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-      "Ġ( =",
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-      "Ġvent ricular",
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-      "Ġfingert ips",
-      "ĠTh omson",
-      "Ġtw igs",
-      "Ch ief",
-      "ĠKe ys",
-      "Ġscal able",
-      "Ġnov ice",
-      "d ash",
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-      "ĠTh under",
-      "part ition",
-      "ĠEvolution ary",
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-      "Ġ* =",
-      "pre vious",
-      "ĠShe pherd",
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-      "+ =",
-      "ĠS CI",
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-      "-------- ---",
-      "ĠTH C",
-      "wau kee",
-      "Ġre juven",
-      "Ġadvert ised",
-      "ĠMax well",
-      "Ġaver aging",
-      "A Y",
-      "B row",
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-      "Ġhe irs",
-      "ĠK erala",
-      "Ġoff enses",
-      "gen cies",
-      "Ġov ary",
-      "Ġpreced ents",
-      "Object ive",
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-      "Ġsubtract ing",
-      "mom ent",
-      "s b",
-      "Ġst aining",
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-      "Ġlem ons",
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-      "Ġag itation",
-      "Ġorgan izer",
-      "ĠAnd es",
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-      "vi ations",
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-      "test ed",
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-      "Ġpatri otic",
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-      "} ',",
-      "class ification",
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-      "Ġdoctor ate",
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-      "in able",
-      "Ġher n",
-      "Ġcir rhosis",
-      "Ġextra pol",
-      "Ġinvestig ates",
-      "Ġasp iration",
-      "G ender",
-      "N I",
-      "ĠA MD",
-      "ĠR id",
-      "Ġdes erved",
-      "Ġstandard ization",
-      "Ġpal aces",
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-      "Ġtribut aries",
-      "M atch",
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-      "č ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
-      "Ġun published",
-      "opt imal",
-      "Ġprop el",
-      "ĠProv ides",
-      "CL C",
-      "Requ ired",
-      "in vent",
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-      "though t",
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-      "Ġevalu ates",
-      "cho ices",
-      "Ġconve x",
-      "Ġscarc ely",
-      "ĠG ospels",
-      "Ġdil ute",
-      "ĠMoz amb",
-      "Ġnewcom ers",
-      "g row",
-      "Ġinf ested",
-      "Ġdec oder",
-      "ina e",
-      "ĠHer z",
-      "Ġcomfort ing",
-      "ĠIN TER",
-      "n ob",
-      "ro red",
-      "ĠCons umption",
-      "Ġcomplet es",
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-      "Ġju veniles",
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-      "Ġcher ish",
-      "D EC",
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-      "ĠM oss",
-      "Ġun affected",
-      "Ġun avoid",
-      "ĠHe ights",
-      "Ġins ulating",
-      "Ġche eks",
-      "Ġforest ed",
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-      "Ġmell itus",
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-      "ĠC li",
-      "Ġpremature ly",
-      "Ġadrenal ine",
-      "termedi ate",
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-      "Ġt ingling",
-      "ĠF ruits",
-      "Ġrepl ies",
-      "Ġash ore",
-      "P layer",
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-      "ĠN urse",
-      "Ġins ists",
-      "Ġunt ouched",
-      "Ġcrit ters",
-      "Ġmicro f",
-      "ĠFund amental",
-      "ĠFact ory",
-      "B ACK",
-      "ĠF an",
-      "ĠSh o",
-      "ih ad",
-      "Ġupl ift",
-      "Ġremem brance",
-      "M other",
-      "ĠM ant",
-      "Ġsh am",
-      "Ġdown side",
-      "ĠComp onent",
-      "Ġtong ues",
-      "Ġcosm ology",
-      "sampl ing",
-      "ĠSold iers",
-      "æ ŀ",
-      "Ġc t",
-      "ĠK et",
-      "ĠAd olescent",
-      "Ġ: =",
-      "umb ent",
-      "Ġfront iers",
-      "ठ¯",
-      "Ġju icy",
-      "Ġpsychiat rist",
-      "ĠMoh ammed",
-      "ĠFeed ing",
-      "ĠCardi ovascular",
-      "_ {}",
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-      "Ġm oms",
-      "Ġpl ung",
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-      "craft ed",
-      "Ġfertil ized",
-      "Ġindu cing",
-      "å ¸",
-      "ĠH I",
-      "Ġro pes",
-      "Ġfin anced",
-      "ĠSp aces",
-      "Ġcircuit ry",
-      "Ġcrown ed",
-      "prob ably",
-      "mount able",
-      "Ġcaterpill ar",
-      "end e",
-      "Ġart isan",
-      "She ll",
-      "adapt ive",
-      "R ED",
-      "T uple",
-      "Ġdig ested",
-      "ĠBrad ley",
-      "Ġf encing",
-      "ch rome",
-      "un ctions",
-      "ĠWell ness",
-      "opol y",
-      "ĠHay es",
-      "Ġrud imentary",
-      "L ES",
-      "Ġfor ged",
-      "Ġr iv",
-      "Ġdist al",
-      "fl ush",
-      "AL E",
-      "Ġscreen ings",
-      "default s",
-      "Ġsupernov a",
-      "V an",
-      "at ized",
-      "ĠM ED",
-      "qu ad",
-      "Ġcont emplate",
-      "ord e",
-      "Ġobserv atory",
-      "Ġcateg orical",
-      "Ġrect um",
-      "dist ribution",
-      "ĠLect ure",
-      "ĠAdvoc acy",
-      "ĠYugoslav ia",
-      "Ġremedi ation",
-      "Ġnot ices",
-      "Ġsk ipping",
-      "fe et",
-      "Ġturb ulence",
-      "Ġsupp orter",
-      "Ġpass port",
-      "Ġexperiment ed",
-      "Ġgest ation",
-      "G ene",
-      "Ġrel ocation",
-      "Ġsoci ological",
-      "Ġsuper markets",
-      "Ġobst ructive",
-      "Ġfabric ated",
-      "ĠNorm andy",
-      "ĠAppalach ian",
-      "Ġc unning",
-      "ĠAl ps",
-      "ah s",
-      "Ġpost al",
-      "ĠAust en",
-      "Ġarchae ologist",
-      "pub lish",
-      "Ġiter ative",
-      "Ġintra cellular",
-      "ĠLanc aster",
-      "Ġleth arg",
-      "t um",
-      "Ġl one",
-      "Ġwh isk",
-      "ec ost",
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-      "å Ĩ",
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-      "and escent",
-      "iz ens",
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-      "Ġdivid ends",
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-      "Te am",
-      "ĠGl obe",
-      "Ġgly cemic",
-      "ĠP aste",
-      "Ġexp r",
-      "ĠAn cest",
-      "St ates",
-      "Ġrece ivers",
-      "f lux",
-      "n at",
-      "am ate",
-      "rom yalgia",
-      "cl one",
-      "Ġup held",
-      "Ġfun nel",
-      "Ġdivers ion",
-      "ĠBay esian",
-      "Ġcompound ed",
-      "Every thing",
-      "ĠConfed eration",
-      "Ġl ighthouse",
-      "ĠT ommy",
-      "Ġal ve",
-      "ĠE E",
-      "Ġoff ender",
-      "ole cule",
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-      "ĠInitial ize",
-      "Ġmistaken ly",
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-      "Ġt andem",
-      "ĠD HA",
-      "Ġent rusted",
-      "yl ene",
-      "Pro per",
-      "Ġouts iders",
-      "Ġapp raisal",
-      "Ġkit chens",
-      "ĠBab ies",
-      "ĠMarx ism",
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-      "Ġoy ster",
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-      "Ġpl ut",
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-      "ĠCarol ine",
-      "ĠT ank",
-      "all ic",
-      "ĠIn quiry",
-      "ST OR",
-      "run s",
-      "Ġhom estead",
-      "ĠLabor atories",
-      "Ġhypothes ized",
-      "Ġl ang",
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-      "med ian",
-      "Ġhyp ogly",
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-      "Ac adem",
-      "Ġconve ction",
-      "Pop ulation",
-      "Pref ix",
-      "Ġd ic",
-      "Ġde x",
-      "ĠE SL",
-      "Ġcycl ists",
-      "opl astic",
-      "f aced",
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-      "Ġ** *",
-      "Ġoffs ets",
-      "Ġeluc idate",
-      "Ġredund ancy",
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-      "Ġdress es",
-      "X ML",
-      "or ange",
-      "ĠT aj",
-      "ĠT rag",
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-      "ĠLe vi",
-      "fl ix",
-      "Ġtar iff",
-      "ĠI v",
-      "Ġloc us",
-      "ĠTo ken",
-      "Ġdetox ification",
-      "O G",
-      "ĠG rim",
-      "red irect",
-      "por al",
-      "Ġill umin",
-      "Not ice",
-      "Ġverb ally",
-      "Ġsucc umb",
-      "Ġsynchron ous",
-      "Ġjelly fish",
-      "er i",
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-      "Ġprom otional",
-      "ĠQu ite",
-      "L oc",
-      "i atic",
-      "em y",
-      "Ġcl ut",
-      "Ġcal oric",
-      "ocument ed",
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-      "Ġtrust s",
-      "Ġguard ed",
-      "Pr ivate",
-      "åı ĸ",
-      "C BT",
-      "Ġn s",
-      "ĠP ond",
-      "ast ies",
-      "ph rase",
-      "Ġconf ed",
-      "Ġeth os",
-      "ĠProp he",
-      "ĠInfect ions",
-      "Ġopp os",
-      "Ġcou ch",
-      "Ġign ores",
-      "ĠSam ar",
-      "о ÑĢ",
-      "prior ity",
-      "ĠHarmony ville",
-      "Ġto pped",
-      "arch ing",
-      "alf a",
-      "Ġaction able",
-      "Ġmanif old",
-      "Ġlic ence",
-      "Ġfashion able",
-      "æ İ",
-      "Ġs her",
-      "Ġm ural",
-      "Ġse psis",
-      "av ailability",
-      "Ġtra ys",
-      "Ġagree ing",
-      "ĠMechan ics",
-      "plug ins",
-      "Ġupgrad es",
-      "Ġcl utter",
-      "ĠMan ifest",
-      "Ġpron oun",
-      "ĠHop efully",
-      "Ġlur king",
-      "l iest",
-      "Ġp us",
-      "ĠV ine",
-      "DE F",
-      "Ġoverl ooking",
-      "ĠMarc o",
-      "ĠV on",
-      "Ġinter feres",
-      "CO DE",
-      "Ġprem ier",
-      "Ġshout ing",
-      "ll er",
-      "Ġprop hetic",
-      "Test ing",
-      "Ġrail ways",
-      "Ġscal ability",
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-      "Ġo mit",
-      "Ġm d",
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-      "Ġexp ired",
-      "ĠPar ish",
-      "Ġinject ing",
-      "ĠAccess ibility",
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-      "Ġquot ations",
-      "Pol itical",
-      "ĠNut r",
-      "C hemical",
-      "r ils",
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-      "ĠP ump",
-      "qu ake",
-      "Ġsw amp",
-      "Ph ase",
-      "ĠProv idence",
-      "Event ually",
-      "Ï į",
-      "ĠT W",
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-      "br ane",
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-      "Ġmeteor ological",
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-      "t as",
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-      "peut ics",
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-      "Ġdis closed",
-      "AR I",
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-      "ĠProced ure",
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-      "Un ivers",
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-      "auth ored",
-      "Ġnons ense",
-      "Ġendorse ment",
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-      "Ġsur real",
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-      "found ed",
-      "Supp ose",
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-      "Ġsav ory",
-      "Ġaccum ulating",
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-      "Ġdump ed",
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-      "l ost",
-      "Ġst acks",
-      "Ġit al",
-      "Ġsupp ressing",
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-      ") ^",
-      "A H",
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-      "ĠH ours",
-      "Ġmal ign",
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-      "Ġbre thren",
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-      "D UCT",
-      "T AG",
-      "rom agnetic",
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-      "ĠAss uming",
-      "ĠTra cking",
-      "ĠLear ned",
-      "Ġion ic",
-      "Ġaggreg ates",
-      "ĠHait ian",
-      "Ġdissatis faction",
-      "Ġarte facts",
-      "Ġundist urbed",
-      "H on",
-      "b ish",
-      "g m",
-      "ĠD uck",
-      "ĠN amed",
-      "idd ish",
-      "ĠTe ams",
-      "Ġinfl ated",
-      "ĠSign ificant",
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-      "ĠFlu id",
-      "Ġfingerprint s",
-      "F ill",
-      "iv ary",
-      "Ġloc king",
-      "Ġmagn ification",
-      "Ġpet rol",
-      "Ġsyn onym",
-      "Ġwarrant y",
-      "Ġexh ilar",
-      "Ø ¹",
-      "Ġs lug",
-      "ell ate",
-      "Ġinf rast",
-      "Ġher nia",
-      "Ġold s",
-      "ĠBi om",
-      "Ġbio fuel",
-      "ĠEst onia",
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-      "b elt",
-      "d an",
-      "æ Ń",
-      "ie ving",
-      "Ġun natural",
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-      "Ġbr isk",
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-      "Ġrefrig er",
-      "n os",
-      "is lation",
-      "ĠS ets",
-      "Ġsp arking",
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-      "ĠF urn",
-      "ĠF IG",
-      "Ġinter ruption",
-      "Ġterm inate",
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-      "Ġreact ed",
-      "Ġ__ ___",
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-      "ĠSch ne",
-      "Ur ban",
-      "/ ?",
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-      "æ ³",
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-      "start ing",
-      "A qu",
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-      "ĠJud ith",
-      "Fl ag",
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-      "Ġthermost at",
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-      "ĠPent ecost",
-      "C orn",
-      "ol iberal",
-      "od ian",
-      "and um",
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-      "ĠKum ar",
-      "s ight",
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-      "ĠJul ie",
-      "Comp onent",
-      "l p",
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-      "cl im",
-      "ĠCom pliance",
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-      "key word",
-      "Ġdeal er",
-      "ठ®",
-      "ĠEmb ed",
-      "Expl anation",
-      "Ġdemol ition",
-      "æĪ IJ",
-      "ĠBreat hing",
-      "ĠAuton omous",
-      "D ear",
-      "ic ist",
-      "id ium",
-      "ĠM g",
-      "qu eeze",
-      "Ġworld ly",
-      "rig ation",
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-      "Ġsav vy",
-      "Ġplate lets",
-      "effic acy",
-      "Ġresort ing",
-      "hearted ly",
-      "Ġconson ants",
-      "Ġmatt ress",
-      "E mp",
-      "M u",
-      "Ġm uff",
-      "Ġam ber",
-      "Ġchar ities",
-      "ĠDe bt",
-      "Ġbro od",
-      "ĠDr iving",
-      "Ġselect s",
-      "spec ified",
-      "Ġconven ed",
-      "---------------------------- -",
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-      "Ġnostalg ia",
-      "h ub",
-      "Ġun paid",
-      "Ġsitu ational",
-      "Ġflo oring",
-      "ãĥ ¼",
-      "Ġasyn chronous",
-      "âĨ Ĵ",
-      "ĠFerg uson",
-      "Ġm uddy",
-      "ĠM AR",
-      "ĠP iet",
-      "ĠThe me",
-      "ĠW R",
-      "ans on",
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-      "Ġdu plication",
-      "Ġcoun selling",
-      "Ġcrust aceans",
-      "-------------------------------------------- ---",
-      "Crit ical",
-      "ĠInstru ments",
-      "Ġs ighed",
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-      "Ġpi ety",
-      "ĠPic asso",
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-      "C ounter",
-      "f b",
-      "Ġf ading",
-      "Ġ( .",
-      "ĠR EC",
-      "ĊĊ ĉĉ",
-      "ĠMan uel",
-      "Ġsalt water",
-      "f riends",
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-      "ĠP ron",
-      "ĠP UR",
-      "Ġv eto",
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-      "ĠBel arus",
-      "ĠFant asy",
-      "O wn",
-      "P ain",
-      "j ack",
-      "ĠB T",
-      "ĠH ast",
-      "ĠH ull",
-      "ĠH CV",
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-      "Ġtransport s",
-      "ĠAnt io",
-      "ĠG EN",
-      "Ġcomp artments",
-      "ĠU nt",
-      "Ġmill ise",
-      "ĠSquad ron",
-      "J er",
-      "in ities",
-      "el ior",
-      "end or",
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-      "Ġarch ived",
-      "ran ial",
-      "Ġunf avorable",
-      "dig est",
-      "Ġstraw berry",
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-      "Ġunconst itutional",
-      "L uc",
-      "un pack",
-      "UT C",
-      "Ġmotiv ates",
-      "ĠMcC arthy",
-      "ĠMess enger",
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-      "ĠHoriz ons",
-      "Ġeyel ids",
-      "/ ).",
-      "m ons",
-      "p od",
-      "Â ±",
-      "Ġit ch",
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-      "ĠNe ut",
-      "aly tic",
-      "iter ations",
-      "Ġbio ge",
-      "annot ation",
-      "ĠWaters hed",
-      "Ġabbrev iated",
-      "Ġs add",
-      "Ġp arch",
-      "ĠS ELECT",
-      "ĠP ose",
-      "ĠP urs",
-      "Ġsh attered",
-      "Ġsp ared",
-      "ĠX en",
-      "Ġsolid ify",
-      "CC C",
-      "Ġadmit ting",
-      "Ġwitch craft",
-      "H aw",
-      "Ġt z",
-      "ĠS AM",
-      "ĠM H",
-      "art hen",
-      "Ġun equ",
-      "Ġsol ves",
-      "Ġsem antics",
-      "Ġstock p",
-      "Ġvac ant",
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-      "Disc uss",
-      "Ġsurpass ed",
-      "ĠKurd ish",
-      "O ri",
-      "T y",
-      "ĠS urgical",
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-      "Ġtreat able",
-      "Ġcomputer ized",
-      "LE X",
-      "soft ware",
-      "gener ic",
-      "uns queeze",
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-      "ĠIllust rated",
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-      "ĠY ose",
-      "ĠMan ila",
-      "ĠPre cision",
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-      "Ġnarrow ly",
-      "ĠInv ol",
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-      "ĠWould n",
-      "Ġcancell ed",
-      "Ġchiropract ic",
-      "N ULL",
-      "ĠMil waukee",
-      "ĠInteg er",
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-      "Ġcad mium",
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-      "T uesday",
-      "el o",
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-      "Ġsy st",
-      "IS O",
-      "Ġsn oring",
-      "Ġclust ered",
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-      "ild a",
-      "Ġbi ogas",
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-      "ĠMon aster",
-      "Ġfav oring",
-      "Dis play",
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-      "c ame",
-      "Ġto ast",
-      "Ġsol stice",
-      "Ġprob ing",
-      "Ġing est",
-      "ĠCor respond",
-      "anth ropy",
-      "Ġheter ogeneity",
-      "Ġdivor ced",
-      "ĠRoberts on",
-      "B uy",
-      "M Y",
-      "Ġt int",
-      "pec ific",
-      "read line",
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-      "Ġrich ly",
-      "writ ers",
-      "Ġcalibr ated",
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-      "F lor",
-      "r v",
-      "v ie",
-      "ĠJ enny",
-      "ĠDe bor",
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-      "Ġvul gar",
-      "pow der",
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-      "ogg le",
-      "Ġcraw ling",
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-      "ĠBry an",
-      "imet res",
-      "Lou is",
-      "d ia",
-      "ĠT C",
-      "Ġdist ressing",
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-      "Ġcho king",
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-      "ĠMen u",
-      "Ġhydro ly",
-      "Wik imedia",
-      "ist ocene",
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-      "ĠJo el",
-      "Qt Core",
-      "Ġworkflow s",
-      "A sh",
-      "h id",
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-      "Ġp iracy",
-      "ĠC uisine",
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-      "Dist ribution",
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-      "ĠHend erson",
-      "H ence",
-      "c pp",
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-      "Ġshort cut",
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-      "flow s",
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-      "Ġre aring",
-      "Ġpo inters",
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-      "Ġdissemin ated",
-      "st uff",
-      "Ġit ertools",
-      "ĠB orne",
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-      "ĠMel an",
-      "ĠCho ices",
-      "p iration",
-      "Ġin und",
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-      "ĠM ik",
-      "ĠInter pret",
-      "IF IC",
-      "л и",
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-      "Ġpremium s",
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-      "O pp",
-      "e cl",
-      "al ent",
-      "pl ine",
-      "Ġsh irts",
-      "act ors",
-      "Ġspec ulated",
-      "af ka",
-      "Ġbur rows",
-      "------------ ---",
-      "Tra ck",
-      "Ġpend ulum",
-      "B and",
-      "s ender",
-      "ag ency",
-      "Ġhand lers",
-      "Ġenc ir",
-      "ĠApp s",
-      "hard t",
-      "ĠS overe",
-      "Ġj ava",
-      "get attr",
-      "ĠZ oro",
-      "Ġec ologically",
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-      "Ġembarr assing",
-      "E le",
-      "O m",
-      "\\ ''",
-      "s parse",
-      "u o",
-      "ĠBy ron",
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-      "ĠHirosh ima",
-      "Ġallevi ating",
-      "Ï Ĩ",
-      "Ġst oves",
-      "ĠS itu",
-      "ag ulation",
-      "Ġsac ra",
-      "Ġformal dehyde",
-      "ĠNutrition al",
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-      "D elta",
-      "g ive",
-      "Ġto fu",
-      "AT O",
-      "Ġlif ts",
-      "ĠNi agara",
-      "Ġank les",
-      "p ending",
-      "at aka",
-      "Ġl oot",
-      "ĠHe ath",
-      "the rapy",
-      "Ġcut off",
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-      "Ġk icks",
-      "Ġfl ushing",
-      "ident ally",
-      "Ġexp ulsion",
-      "Ġpop ulous",
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-      "Ġbreak er",
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-      "ve hicle",
-      "Ġwh ip",
-      "ist ors",
-      "Ġhe res",
-      "Ġfund raising",
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-      "sd k",
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-      "Ġher ald",
-      "Ġbit tern",
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-      "Ġfor ts",
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-      "Ġinter state",
-      "Ġes capes",
-      "Ġbusiness man",
-      "Ġz omb",
-      "amin ophen",
-      "Ġreprodu cing",
-      "ĠMaj esty",
-      "Ġscaff old",
-      "S omething",
-      "Ġw edge",
-      "ĠR GB",
-      "ĠK as",
-      "Ġver ifying",
-      "è ¾",
-      "Ġe ug",
-      "op p",
-      "ĠF ri",
-      "arn ish",
-      "Ġdisob edience",
-      "S ov",
-      "e o",
-      "q t",
-      "is itions",
-      "ĠP oss",
-      "Ġlast sum",
-      "Ġsun burn",
-      "AB C",
-      "Gen etic",
-      "uts ch",
-      "conc iliation",
-      "Ġunderm ined",
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-      "Ġranc hers",
-      "Ġatt aining",
-      "ĠSc ene",
-      "Ġpow ders",
-      "ĠDec imal",
-      "Ident ify",
-      "Ġcaul iflower",
-      "Ġc p",
-      "Ġp inn",
-      "ĠSh ield",
-      "Ġaccess ion",
-      "Ch anges",
-      "Ġassert ions",
-      "Ġfif teenth",
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-      "W alk",
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-      "Ġg le",
-      "ĠF requently",
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-      "ĠCh ancellor",
-      "ĠHe gel",
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-      "enc oded",
-      "Ġhyp not",
-      "OS E",
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-      "ĠTro jan",
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-      "s ic",
-      "ĠT S",
-      "ĠR H",
-      "ĠG ould",
-      "ĠV et",
-      "Ġpar cel",
-      "Al pha",
-      "rab ble",
-      "N B",
-      "ed er",
-      "Ġan eur",
-      "ak ov",
-      "Ġ' \"",
-      "Ġsal am",
-      "Ġliquid ity",
-      "ĠPur ple",
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-      "he ne",
-      "el ic",
-      "ĠW OR",
-      "ĠL omb",
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-      "reg ions",
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-      "ĠSong s",
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-      "Ġst ab",
-      "Ġst anza",
-      "ĠS MS",
-      "Ġk arma",
-      "Ġcl am",
-      "ĠSun ni",
-      "pack et",
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-      "Ġpap ill",
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-      "r ases",
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-      "ĠS ensor",
-      "ĠL oyal",
-      "Ġcl ans",
-      "Ġtrans verse",
-      "err als",
-      "ĠCons umers",
-      "gra vity",
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-      "ĠC ars",
-      "ĠB lessed",
-      "ĠR R",
-      "Ġag rarian",
-      "Ġsub types",
-      "Ġvar ic",
-      "trans forms",
-      "Ġcritic ize",
-      "ĠRob ot",
-      "Man aging",
-      "Ġhall mark",
-      "Ġimmers ing",
-      "Ġpall iative",
-      "ĠUz bek",
-      "B ank",
-      "B ird",
-      "L ate",
-      "P oor",
-      "S ent",
-      "b und",
-      "m ite",
-      "Ġpart itions",
-      "Ġqu oting",
-      "ĠAm en",
-      "Text Field",
-      "Ġtort ured",
-      "Ġpsy che",
-      "B uffer",
-      "R ock",
-      "ra k",
-      "ĠM ID",
-      "ĠQu est",
-      "Ġund ocumented",
-      "Ġfunctional ities",
-      "Ġboy cott",
-      "Develop ing",
-      "cred entials",
-      "N utrition",
-      "Ġne arer",
-      "ĠU W",
-      "Ġun sc",
-      "Ġprom otions",
-      "Ġthink er",
-      "light ing",
-      "Ġclean se",
-      "Ġcorrect ness",
-      "ĠDam ascus",
-      "Ġv enge",
-      "Ġrep r",
-      "Ġlab yrinth",
-      "Ġport rays",
-      "ठĤ",
-      "ĠBo oth",
-      "Ġprecon ceived",
-      "t ube",
-      "Ġthe ses",
-      "ĠP U",
-      "Ġsc rum",
-      "Ġrep el",
-      "Ġcar ic",
-      "ĠCompar ing",
-      "Ġcuc umbers",
-      "Ġgorge ous",
-      "Ġnar ration",
-      "B a",
-      "M apping",
-      "im posed",
-      "Ġpre cursors",
-      "ph on",
-      "Ġmar athon",
-      "ĠBe es",
-      "ĠSc outs",
-      "Ġâ Ļ",
-      "ĠProp ulsion",
-      "Ġlean ed",
-      "Ġtart ar",
-      "B an",
-      "Ġcont iguous",
-      "Ġdis perse",
-      "Ġcirc a",
-      "Le ave",
-      "amps ia",
-      "ĠRespons ible",
-      "Cam bridge",
-      "U X",
-      "f et",
-      "Ġun suitable",
-      "ĠPr ussian",
-      "Ġhaunt ed",
-      "rosso ver",
-      "C old",
-      "c ause",
-      "Ġh arp",
-      "ow ment",
-      "par agus",
-      "Ġcr ane",
-      "ĠCl ock",
-      "ĠFrank furt",
-      "ĠEll i",
-      "è¡ ¨",
-      "ĠSeb ast",
-      "c ached",
-      "m otion",
-      "Ġun sett",
-      "ex clude",
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-      "/ ,",
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-      "Ġceil ings",
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-      "ĠCrit icism",
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-      "ĠAnn als",
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-      ") `",
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-      "Ġre think",
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-      "Ġge om",
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-      "und i",
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-      "( %",
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-      "et ting",
-      "ĠI RS",
-      "ab l",
-      "ĠH ym",
-      "ĠR everse",
-      "ĠL ots",
-      "ĠO phthalm",
-      "ple ase",
-      "iver ing",
-      "ĠThat cher",
-      "Ġred ress",
-      "Ġclos et",
-      "Ġextrem ity",
-      "Ġwal nut",
-      "Ġcyan ide",
-      "Ġw aving",
-      "Ġb aker",
-      "Ġd p",
-      "os her",
-      "ĠR oles",
-      "Ġpe e",
-      "Ġhealth ful",
-      "Ġexp onent",
-      "ĠSe an",
-      "Ġaccess ory",
-      "Ġsw irling",
-      "ĠSom ali",
-      "ĠImp ression",
-      "ĠAud ience",
-      "Num bers",
-      "Ġeyel id",
-      "C ache",
-      "ĠT P",
-      "og el",
-      "ap agos",
-      "Ġlist ings",
-      "ĠCele brate",
-      "Ċĉĉĉĉĉĉĉĉĉĉ ĉĉĉĉĉĉĉĉ",
-      "Ġimmunos upp",
-      "d ust",
-      "s it",
-      "s afety",
-      "ig i",
-      "op atra",
-      "ĠG aut",
-      "ap o",
-      "ise ment",
-      "ĠSo f",
-      "AP A",
-      "UT E",
-      "Ġcos ine",
-      "Ġaccommod ating",
-      "Ġrecall ing",
-      "Ġchamp ioned",
-      "Ġaffirm ations",
-      "Cent ury",
-      "ĠEver glades",
-      "ĠCatal og",
-      "Ġbount y",
-      "V ictor",
-      "Ġc ork",
-      "Ġl ender",
-      "im ia",
-      "Ġperiod ont",
-      "af i",
-      "AR M",
-      "Pro tein",
-      "Ġbur ials",
-      "Ġden ounced",
-      "Ġanthrop ologist",
-      "Ġunnecess arily",
-      "Ġteasp oons",
-      "Ġspraw ling",
-      "Â ³",
-      "ess ors",
-      "ĠP erc",
-      "ĠQu in",
-      "Ġstream lining",
-      "Ġcourts hip",
-      "ĠEu clidean",
-      "Ġantidepress ant",
-      "C hem",
-      "Ë IJ",
-      "Ġn os",
-      "ĠA ub",
-      "Ġun ifying",
-      "Ġar du",
-      "ens ors",
-      "lect ic",
-      "fore ign",
-      "Ġant iretroviral",
-      "Ġassert ive",
-      "la unch",
-      "uh an",
-      "ĠFar ms",
-      "Ġlap ar",
-      "Ġâī ¥",
-      "M oon",
-      "h undred",
-      "ç º",
-      "Ġbe ets",
-      "iz al",
-      "En h",
-      "App le",
-      "Ġscaff olding",
-      "Ġpamph let",
-      "J im",
-      "é ¢",
-      "an ian",
-      "Ġm orn",
-      "Ġch assis",
-      "ĠD ed",
-      "Ġthen ce",
-      "ĠPer kins",
-      "ĠTw in",
-      "ĠExpl anation",
-      "Ġremov able",
-      "Ġreform ers",
-      "Reg arding",
-      "Ġnost rils",
-      "ĠP ac",
-      "ĠG ore",
-      "ĠG ert",
-      "Ġinvent ive",
-      "ĠSub mit",
-      "Ġrub ble",
-      "ĠPC Bs",
-      "ĠIns pection",
-      "Ġune asy",
-      "Tex as",
-      "Ġsyst olic",
-      "G DP",
-      "b illion",
-      "k ary",
-      "in ative",
-      "Ġn i",
-      "Ġan ime",
-      "ĠThe ories",
-      "Ġsc oliosis",
-      "ĠSp elling",
-      "ĠInter pre",
-      "ĠOff ering",
-      "Ġsore ness",
-      "environment al",
-      "Peer Class",
-      "Ok ay",
-      "ĠLux embourg",
-      "Ġdwind ling",
-      "ĠNeander thals",
-      "l ion",
-      "Ġm k",
-      "sh apes",
-      "ref erences",
-      "ĠPC A",
-      "tag ged",
-      "Cur ve",
-      "ĠBrid ging",
-      "ĠChern obyl",
-      "ĠT il",
-      "ow ler",
-      "Ġem itter",
-      "de ploy",
-      "be en",
-      "ĠAb ility",
-      "DE P",
-      "Ext ension",
-      "Ġsucc inct",
-      "Pop ular",
-      "swig faiss",
-      "ĠFel ix",
-      "ĠZoro ast",
-      "D a",
-      "L ake",
-      "P ad",
-      "ul ner",
-      "ĠM ilit",
-      "ne uro",
-      "ĠRe conciliation",
-      "Ġins urers",
-      "pro blems",
-      "Ġdr ifting",
-      "ĠRes idential",
-      "Ġes oteric",
-      "ĠPu pp",
-      "deg rees",
-      "LOG Y",
-      "Ġbarg ain",
-      "ra f",
-      "ĠR ocket",
-      "Ġad orable",
-      "Ġclass ifying",
-      "Ġopt ing",
-      "Ġrun away",
-      "Ġprim ordial",
-      "Ġexc itation",
-      "ĠMill ions",
-      "ĠCr ater",
-      "CN N",
-      "ĠSymbol s",
-      "Ġexempt ions",
-      "p apers",
-      "ĠC W",
-      "ĠB inary",
-      "ag et",
-      "Ġpo op",
-      "enc ers",
-      "Reg ression",
-      "IST ORY",
-      "ĠEnter tainment",
-      "ĠAlg orithms",
-      "H g",
-      "T ABLE",
-      "z hou",
-      "Ġst om",
-      "ĠI o",
-      "ĠH OW",
-      "un king",
-      "ear cher",
-      "Ġant id",
-      "Ġsuper intendent",
-      "Ġfasc ia",
-      "ĠBloom berg",
-      "is put",
-      "th in",
-      "art on",
-      "pl acing",
-      "Ġsouth ward",
-      "Ġphen otypes",
-      "ĠSocial ism",
-      "di ag",
-      "Ġdysfunction al",
-      "Afric a",
-      "Ġautobi ographical",
-      "U PDATE",
-      "b ull",
-      "u ations",
-      "ĠThe ss",
-      "ac us",
-      "ĠB D",
-      "Ġfact ion",
-      "Ġz odiac",
-      "Ġneg ativity",
-      "epend ency",
-      "ĠBan king",
-      "VAL UE",
-      "ĠMeteor ological",
-      "ĠWheel er",
-      "b uff",
-      "h urst",
-      "ess a",
-      "Ġsh afts",
-      "Ġmet ropolis",
-      "ĠPer cy",
-      "Ġwid ened",
-      "ĠBel le",
-      "Act ivities",
-      "effect iveness",
-      "ĠFriends hip",
-      "Ġpolyn omials",
-      "Ġeuro s",
-      "Perm issions",
-      "intern ational",
-      "Ġth umbs",
-      "ĠP aw",
-      "Ġch ant",
-      "ĠR iley",
-      "Ġpe eled",
-      "Ġfac ade",
-      "Ġmov able",
-      "Ġmanufact ures",
-      "Ġfresh ness",
-      "Ġspaces hip",
-      "Ġguess es",
-      "Ge org",
-      "ĠNat l",
-      "N an",
-      "r oring",
-      "w inter",
-      "Ġpl ur",
-      "ip ient",
-      "ict ions",
-      "ting ham",
-      "ĠPro verbs",
-      "Ġperson a",
-      "Ġsl abs",
-      "ĠHar bour",
-      "Ġstraw s",
-      "Ġgam ers",
-      "intend o",
-      "ĠVict ims",
-      "h w",
-      "u ator",
-      "Â µ",
-      "id ious",
-      "Ġpet itions",
-      "Ġap ric",
-      "ĠDel ving",
-      "ĠSand ers",
-      "pot ential",
-      "ĠVeget able",
-      "occup ation",
-      "âĢ¦âĢ¦ âĢ¦âĢ¦",
-      "Ġslee ve",
-      "gre ens",
-      "ĠAdvert ising",
-      "H alf",
-      "h df",
-      "ve get",
-      "ot rophic",
-      "Ġsub jug",
-      "Ġpres upp",
-      "bers ome",
-      "Ġphenomen al",
-      "FA IL",
-      "ĠVict ory",
-      "Ġhomeschool ing",
-      "ĠCraw ford",
-      "G rant",
-      "m ilitary",
-      "ĠS OC",
-      "Ġper ic",
-      "ĠK ot",
-      "Ġlit urgy",
-      "Ġuns aturated",
-      "ĠBur k",
-      "ĠIntellig ent",
-      "Ġrebell ious",
-      "Ġevac uate",
-      "agu ar",
-      "Ġunden iable",
-      "H om",
-      "S IM",
-      "n ation",
-      "å ±",
-      "est rian",
-      "os us",
-      "Ġoff ended",
-      "Let ter",
-      "ĠGra vity",
-      "Ġsin uses",
-      "Ġgastro enter",
-      "commit tee",
-      "Ġcortic osteroids",
-      "M ask",
-      "b lu",
-      "st ores",
-      "ĠL ar",
-      "ag ged",
-      "Ġout skirts",
-      "Ġtime frame",
-      "ob l",
-      "Ġdist ort",
-      "ĠTe resa",
-      "Ġtax ed",
-      "ĠDef initions",
-      "UN CT",
-      "ĠOtt omans",
-      "Ġpier cing",
-      "ĠSynt hesis",
-      "Ġtranqu il",
-      "ĠHast ings",
-      "j it",
-      "m art",
-      "v d",
-      "ĠC VD",
-      "ĠB oat",
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-      "ĠDet ailed",
-      "Ġpra ising",
-      "ο ÏĤ",
-      "ĠRaj as",
-      "ĠZur ich",
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-      "ĠA CM",
-      "ĠV all",
-      "ĠRe con",
-      "Ġmin ced",
-      "Ġmaterial ism",
-      "Ġline width",
-      "Ġcy toplasm",
-      "Ġsurg ically",
-      "ĠElect ro",
-      "Ġtherm odynamics",
-      "|' ='",
-      "Ġasc ribed",
-      "ĠCS R",
-      "ĠFer ry",
-      "Ġesoph ageal",
-      "O il",
-      "g rained",
-      "Ġn args",
-      "ĠA ce",
-      "Ġr m",
-      "ĠD DT",
-      "ĠG ob",
-      "vers ed",
-      "ĠAd ded",
-      "Ġaud ible",
-      "Ġbox ing",
-      "Ġord in",
-      "ĠSk ill",
-      "athe rapy",
-      "=[ ],",
-      "Ġfurn aces",
-      "Ġserial ized",
-      "b ones",
-      "ĠC odes",
-      "ĠF Y",
-      "ome ga",
-      "ĠOr lando",
-      "ĠAg ents",
-      "ĠEM F",
-      "ĠBart on",
-      "Ill ust",
-      "I l",
-      "g ling",
-      "m igration",
-      "Ġm ah",
-      "ge an",
-      "ĠLe an",
-      "Ġfib romyalgia",
-      "ĠBlack well",
-      "ĠSen eca",
-      "Ġsight ing",
-      "ĠMult ip",
-      "Ġtired ness",
-      "Ġfals ely",
-      "iagn osed",
-      "al oader",
-      "Ġb inder",
-      "ad ir",
-      "od en",
-      "ĠP G",
-      "ĠL SD",
-      "ell ant",
-      "ide a",
-      "ert ile",
-      "Ġdef init",
-      "ĠSe as",
-      "Ġtool box",
-      "Ġmis diagn",
-      "Ġdram as",
-      "ĠWind sor",
-      "ĠChemical s",
-      "Particip ants",
-      "ĠLinked In",
-      "ĠMonaster y",
-      "K A",
-      "W a",
-      "{ \"",
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-      "ĠD res",
-      "Ġgl are",
-      "(' ./",
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-      "Ġstruct uring",
-      "ĠJud gment",
-      "Ġumb ilical",
-      "Alex ander",
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-      "Ġt ann",
-      "ĠP es",
-      "Ġout ages",
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-      "Ġuns us",
-      "Ġhybrid ization",
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-      "Ġprost hetic",
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-      "ĠGent le",
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-      "Ġtw itter",
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-      "Ġbusiness men",
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-      "Ġfauc et",
-      "m ins",
-      "Ġp print",
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-      "th yroidism",
-      "Ġtr ill",
-      "Ġsub net",
-      "Ġrep atri",
-      "ĠPro hibition",
-      "Ġaccount ants",
-      "Ġtast ed",
-      "Ġslu gs",
-      "ĠBound aries",
-      "Ġgeomet rical",
-      "T EXT",
-      "nd im",
-      "le ast",
-      "ĠP sy",
-      "est e",
-      "os i",
-      "int uitive",
-      "Ġpol ishing",
-      "ĠEx eter",
-      "Ġpict orial",
-      "Ġanti hist",
-      "Ġcum bersome",
-      "Ġscrap ing",
-      "ĠHug o",
-      "ĠHapp iness",
-      "Ġsta ples",
-      "Ġapprehens ion",
-      "B inary",
-      "ĠI CC",
-      "ff er",
-      "ere y",
-      "Ġsp anned",
-      "me at",
-      "Ġgreen ery",
-      "ĠEth n",
-      "Ñģ к",
-      "ĠB ias",
-      "hed ron",
-      "arc ane",
-      "Ġinitial ization",
-      "Ġtrem ors",
-      "exper ience",
-      "kn it",
-      "N ER",
-      "c rapers",
-      "od om",
-      "Ġint oler",
-      "Ġbr ute",
-      "sw ap",
-      "ĠMan uscript",
-      "Ġpond ered",
-      "Ġflash light",
-      "Ġcrypt ographic",
-      "Ġwhis pered",
-      "ĠSM ART",
-      "b ilt",
-      "u ces",
-      "Ġy r",
-      "ĠC oca",
-      "ex posure",
-      "ĠCl aus",
-      "num erable",
-      "Par se",
-      "Cons idering",
-      "Ġtight en",
-      "Ġmic rons",
-      "Ġpel let",
-      "Ġecho ing",
-      "Ġunhe ard",
-      "m q",
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-      "es p",
-      "al om",
-      "op ards",
-      "Ġcont r",
-      "Ġeas ing",
-      "ope z",
-      "see ing",
-      "ĠConf idence",
-      "ĠIV F",
-      "minded ness",
-      "Ġequator ial",
-      "ĠGriff in",
-      "d ating",
-      "v ii",
-      "Ġs ard",
-      "an imate",
-      "ang led",
-      "ĠAr lington",
-      "ĠCor ner",
-      "ĠConfed erates",
-      "Ġdissol ves",
-      "Ġinsu fficiency",
-      "ĠTensor Flow",
-      "J ava",
-      "L es",
-      "g rey",
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-      "Ġre igned",
-      "ĠC ube",
-      "ac ci",
-      "io id",
-      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ",
-      "ĠOn cology",
-      "comp an",
-      "ĠMon ster",
-      "Ġverte bral",
-      "Ġassim ilate",
-      "Ġescal ated",
-      "Ġery th",
-      "lyss es",
-      "Ġfierc ely",
-      "! âĢĻ",
-      "ĠH uss",
-      "Ġcl ams",
-      "Ġdi odes",
-      "ĠEx position",
-      "work ed",
-      "Ġfoot note",
-      "No ise",
-      "ĠStra ight",
-      "ĠGalile e",
-      "ĠHus sein",
-      "c ad",
-      "v oice",
-      "ĠS ang",
-      "nt on",
-      "ĠG n",
-      "Ġstruct urally",
-      "data frame",
-      "Ġsw ear",
-      "eb ted",
-      "Ġseason ings",
-      "ĠPat terson",
-      "ĠBr ut",
-      "DE s",
-      "Ġiv y",
-      "ĠSikh s",
-      "Ã ī",
-      "ĠT ay",
-      "ĠS AR",
-      "ĠS inger",
-      "ĠU F",
-      "ĠIn cluded",
-      "Ġcap illaries",
-      "Ġlo om",
-      "ĠPres ence",
-      "ĠÎ ¸",
-      "ĠBet ty",
-      "Ġbio film",
-      "Ġod our",
-      "ĠRa ises",
-      "Ġdisappoint ing",
-      "Techn ical",
-      "Ġencephal itis",
-      "Ġculm ination",
-      "P ages",
-      "Ġa orta",
-      "ĠS ays",
-      "Ġas cent",
-      "Ġx range",
-      "IN ST",
-      "oph an",
-      "Ġcommand ment",
-      "Ġmiss es",
-      "Ġdys plasia",
-      "ĠPow der",
-      "Ġarist ocratic",
-      "ĠBulgar ian",
-      "H ay",
-      "k or",
-      "s urgical",
-      "è Ģ",
-      "Ġt attoos",
-      "Ġre naissance",
-      "ul ose",
-      "Ġdis eng",
-      "ĠK iss",
-      "ĠV ia",
-      "Ġwater color",
-      "Ġiss u",
-      "---------------- -----",
-      "rand n",
-      "Ġbad ges",
-      "Ġcold est",
-      "\" [",
-      "ĠM alt",
-      "ĠE du",
-      "Ġele venth",
-      "Ġant iques",
-      "Ġcharacter izing",
-      "De ut",
-      "Ġjoy ous",
-      "Ġembody ing",
-      "ĠMAT LAB",
-      "Vir gin",
-      "i Äĩ",
-      "ct rl",
-      "se eds",
-      "ĠM V",
-      "ĠM AN",
-      "Ġby product",
-      "Ġwas hes",
-      "ĠG ear",
-      "Ġpo isons",
-      "Ġeng ross",
-      "Ġcivil isation",
-      "ĠPhys ician",
-      "car b",
-      "ĠInnov ations",
-      "phen otype",
-      "Ġves icles",
-      "terr anean",
-      "Ġo le",
-      "Ġb ordering",
-      "Ġcoast lines",
-      "BM I",
-      "Ġpunct ure",
-      "ĠProb ability",
-      "Ġmedi ators",
-      "N IH",
-      "P ossible",
-      "ch ini",
-      "ĠM use",
-      "Ġv iv",
-      "ĠL emon",
-      "Ġnon profits",
-      "Ġinitial ized",
-      "Ġmultipl ier",
-      "Ġdos ages",
-      "ĠBelief s",
-      "Sund ay",
-      "Ġneb ula",
-      "I oT",
-      "_ '",
-      "ĠS ulf",
-      "ĠC ove",
-      "ĠF iji",
-      "Ġlab ou",
-      "Con struct",
-      "é g",
-      "ĠNe hru",
-      "Com pet",
-      "ĠMex icans",
-      "Ġhom ogen",
-      "Ġadvis ers",
-      "Const ruction",
-      "ĠSchw artz",
-      "ĠBorne o",
-      "ĠS pl",
-      "Ġun amb",
-      "Ġthem ed",
-      "ub ile",
-      "Ġover d",
-      "Ġsk irt",
-      "land er",
-      "Ġ: -",
-      "ĠPar agu",
-      "Me ans",
-      "Ġreson ant",
-      "ĠPet e",
-      "ĠReflect ing",
-      "creat ive",
-      "P IPE",
-      "g ary",
-      "Ġh anged",
-      "ĠC ly",
-      "ĠM err",
-      "man ifest",
-      "Ġsw orn",
-      "Ġexec utions",
-      "Ġcatch y",
-      "ĠChen g",
-      "ĠInstitution al",
-      "affe ine",
-      "Ġelabor ated",
-      "M oney",
-      "t om",
-      "el man",
-      "ra ised",
-      "ĠS ach",
-      "Ġsh aken",
-      "che v",
-      "Ġinvent ories",
-      "pay ing",
-      "Ġinterrupt ions",
-      "ĠC OR",
-      "Ġdis content",
-      "Ġman power",
-      "Ġsp illed",
-      "ons ai",
-      "Ġmin istries",
-      "rent ice",
-      "Ġprot ested",
-      "Ġlib erals",
-      "Ġfill er",
-      "Act ually",
-      "ĠURL s",
-      "ĠLex ington",
-      "ĠDop pler",
-      "C AM",
-      "P u",
-      "T re",
-      "_ [",
-      "f ax",
-      "h un",
-      "ag ging",
-      "Ġj ul",
-      "Ġreg ained",
-      "Ġrep rint",
-      "UT F",
-      "Oper ator",
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-      "Ġsw ab",
-      "ĠPer th",
-      "ĠVol ta",
-      "ĠSk ype",
-      "ĠBre eding",
-      "Ġн а",
-      "ĠGD PR",
-      "M il",
-      "t rees",
-      "Ġres usc",
-      "Ġev ade",
-      "hor a",
-      "AN GE",
-      "Ġing esting",
-      "Ġpick up",
-      "ref lect",
-      "Ġgenes is",
-      "Ġclick ed",
-      "Ġpra iries",
-      "Ġwars hips",
-      "Ġhemorrh age",
-      "D OWN",
-      "ĠS UP",
-      "ĠW inc",
-      "ĠD ot",
-      "ĠL ars",
-      "Ġra isins",
-      "Ġdi pping",
-      "Ġair tight",
-      "Ġskill ful",
-      "ĠMot ivation",
-      "ĠGuid eline",
-      "Ġprag mat",
-      "Diagn osis",
-      "w rights",
-      "Ġh og",
-      "ig ated",
-      "Ġinc in",
-      "ĠPar agraph",
-      "su ited",
-      "AC A",
-      "ĠRem oving",
-      "sub s",
-      "Ġnerv osa",
-      "Ġgau ges",
-      "ĠPeriod ic",
-      "c apture",
-      "Ġw oke",
-      "or ce",
-      "Ġb ows",
-      "ce il",
-      "ĠC able",
-      "ĠC oin",
-      "ĠL H",
-      "eth ics",
-      "normal ized",
-      "Em pty",
-      "Ġhang s",
-      "arbon ate",
-      "Ġdelib eration",
-      "Ġunexpl ored",
-      "WAR NING",
-      "C trl",
-      "o ises",
-      "Ġp db",
-      "ĠS eth",
-      "ĠN ah",
-      "Ġ= ================================================================",
-      "ĠG olf",
-      "cl ub",
-      "ph osphate",
-      "ob acillus",
-      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
-      "(' .')",
-      "Ġmakes hift",
-      "num eric",
-      "ĠAc upuncture",
-      "Ġimmun otherapy",
-      "Ġtough ness",
-      "Ġcub s",
-      "Ġstack ing",
-      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ",
-      "ĠMét is",
-      "L it",
-      "W ay",
-      "ĠM BA",
-      "Ġbl oc",
-      "cept ible",
-      "Ġconf luence",
-      "Ġsol itude",
-      "Ġside walks",
-      "Ġfile path",
-      "amin o",
-      "ĠChe ese",
-      "ĠSent ence",
-      "c aps",
-      "Ġa isle",
-      "Ġp aws",
-      "Ġn ib",
-      "ĠR G",
-      "ĠY og",
-      "ĠY ard",
-      "Ġutil itarian",
-      "asp hem",
-      "TR ACT",
-      "Ġalleg ory",
-      "ĠCru c",
-      "Ġasym metry",
-      "Ġacre age",
-      "Altern atively",
-      "M as",
-      "M ale",
-      "S ustainable",
-      "c ox",
-      "ĠM ice",
-      "ĠG rants",
-      "Ġset back",
-      "Ġrep arations",
-      "ĠBe er",
-      "ĠGe ophysical",
-      "ister ia",
-      "Gold en",
-      "Ġelectroc hemical",
-      "Ġcrocod ile",
-      "Ġretin opathy",
-      "Ġassembl age",
-      "Ġs sh",
-      "Ġby products",
-      "ĠDef iciency",
-      "ĠAnaly tical",
-      "Ġindef inite",
-      "Ġspectrom etry",
-      "ĠIber ian",
-      "Ġbould ers",
-      "N W",
-      "h ake",
-      "Ġa eration",
-      "Ġc radle",
-      "Ġu v",
-      "Ġnot ch",
-      "Ġpl under",
-      "Ġdis claimer",
-      "ĠV iv",
-      "ĠSu pper",
-      "Ġblock ers",
-      "Ġdro ppings",
-      "ĠJour nals",
-      "Leg al",
-      "renew able",
-      "c map",
-      "e velop",
-      "Ġh p",
-      "st ocks",
-      "__ ))",
-      "Ġris king",
-      "min i",
-      "enn es",
-      "Ġmicro controller",
-      "Ġrot ting",
-      "ipher al",
-      "ĠConcept ual",
-      "ĠCrus ades",
-      "Ġhort iculture",
-      "ĠRac ism",
-      "Ġrefriger ant",
-      "J S",
-      "O l",
-      "w l",
-      "re action",
-      "ĠD oor",
-      "ĠF letcher",
-      "ĠG MT",
-      "we ak",
-      "ĠY or",
-      "Ġmed itate",
-      "Ġvirtual ization",
-      "ĠLim a",
-      "Ġye ah",
-      "Ġacet aminophen",
-      "Ġeukary otic",
-      "Ġqui eter",
-      "Ġcondu it",
-      "ĠDion ys",
-      "d as",
-      "m orph",
-      "Ġmult idimensional",
-      "ĠEn um",
-      "Com pan",
-      "const raint",
-      "Pl ate",
-      "mask ed",
-      "('/ ')",
-      "Ġdomest ication",
-      "n z",
-      "s udo",
-      "ĠA SS",
-      "Ġan em",
-      "ĠL um",
-      "Ġk ite",
-      "Ġman ic",
-      "Ġinter cultural",
-      "play ed",
-      "ĠCons istent",
-      "Ġhop ping",
-      "Ġmeth anol",
-      "Sub st",
-      "Ġinspect ors",
-      "Ġvert igo",
-      "ĠMong ols",
-      "Ġconsec rated",
-      "Prov ider",
-      "ĠSens itivity",
-      "ĠStew ardship",
-      "t ro",
-      "Ġde formed",
-      "âĢĻ :",
-      "Ġpl unge",
-      "Ġun official",
-      "Ġsub divided",
-      "ĠBi har",
-      "ĠInv asive",
-      "Ġshut ting",
-      "car otene",
-      "Second ary",
-      "Ġrepublic an",
-      "ĠPartners hips",
-      "ĠStre ets",
-      "Ġforesee able",
-      "D ogs",
-      "F riends",
-      "F requently",
-      "d or",
-      "t ouch",
-      "Ġd osing",
-      "ĠH C",
-      "ĠW TO",
-      "Ġli king",
-      "ĠGu pta",
-      "Ġroad way",
-      "α ÏĦ",
-      "Know n",
-      "ĠCos m",
-      "Ġje ans",
-      "Ġwip ing",
-      "XXXX XXXX",
-      "Ġsuperst ition",
-      "Ġsanction ed",
-      "Ġfaç ade",
-      "ĠW aves",
-      "Ġle ve",
-      "ĠG ym",
-      "Ġborrow ers",
-      "Ġexh ale",
-      "gard e",
-      "Ġfaire r",
-      "F er",
-      "f ection",
-      "the llo",
-      "Ident ity",
-      "ĠCole man",
-      "ĠRodrig uez",
-      "Ġin numerable",
-      "se at",
-      "ĠE SP",
-      "Ġle aked",
-      "Ġdis illusion",
-      "ĠSt amp",
-      "comp ress",
-      "App ro",
-      "Ġfertil ize",
-      "Ġanthrop ological",
-      "ĠMarsh al",
-      "ĠMos he",
-      "ĠThreat ened",
-      "ĠPlatform s",
-      "E asy",
-      "Ġd urations",
-      "th orne",
-      "ĠW ade",
-      "pl og",
-      "Ġun consciously",
-      "the ws",
-      "ĠKe ynes",
-      "div isions",
-      "Hand le",
-      "Ut il",
-      "ĠBL M",
-      "ĠTuc son",
-      "m oves",
-      "ar ative",
-      "Ġn ave",
-      "ĠR V",
-      "ĠK od",
-      "Ġdef ender",
-      "man age",
-      "Ġbar racks",
-      "Ġvill ains",
-      "Ġplain ly",
-      "ĠEV s",
-      "Ġsurf aced",
-      "Ġinduct ive",
-      "ĠPUR POSE",
-      "v ah",
-      "Ġso ot",
-      "Ar r",
-      "ĠInter state",
-      "Ġclim bers",
-      "Ġnone x",
-      "Ġmold ed",
-      "bour g",
-      "Ġoverse es",
-      "respons ive",
-      "ĠVed as",
-      "Ġsurrog ate",
-      "c overing",
-      "Ġb ordered",
-      "ĠS EL",
-      "ĠP ablo",
-      "ĠArab idopsis",
-      "ĠCir cular",
-      "rots ky",
-      "ĠHab it",
-      "ĠEur asia",
-      "D ictionary",
-      "ĠT omb",
-      "qu iring",
-      "Ġne cks",
-      "Ġdis ordered",
-      "Ġj ohn",
-      "ĠSt o",
-      "other mia",
-      "gen ome",
-      "Ġfour teenth",
-      "ĠShe ep",
-      "SS L",
-      "ä¸ Ĭ",
-      "Ġampl ifiers",
-      "н Ñĭ",
-      "predict ed",
-      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
-      "Ġabol ish",
-      "Ġanth rax",
-      "confirm ed",
-      "Ġmortg ages",
-      "D in",
-      "l iquid",
-      "Ġw reat",
-      "ib ou",
-      "Ġsub continent",
-      "ĠAr sen",
-      "ĠEm pty",
-      "Ġcombat ting",
-      "Ġplug ins",
-      "Ġcann ib",
-      "Ġpsychiat rists",
-      "yt ocin",
-      "ĠRa ising",
-      "ĠBrun o",
-      "ĠThreat s",
-      "Ġcarc asses",
-      "Ġb ots",
-      "st a",
-      "ig ible",
-      "ĠH og",
-      "ĠJ E",
-      "ĠY om",
-      "Ġmod erated",
-      "Ġwood pec",
-      "Ġsusp end",
-      "ĠParliament ary",
-      "anas ia",
-      "Ġgrape fruit",
-      "av as",
-      "sc ipy",
-      "idel berg",
-      "warn ings",
-      "Ġstair case",
-      "ĠMahar ashtra",
-      "S and",
-      "w alking",
-      "Ġv ase",
-      "ĠB rom",
-      "ĠU AE",
-      "ĠAb normal",
-      "atur ation",
-      "ĠDi ary",
-      "UR I",
-      "FT A",
-      "æľ ¬",
-      "ä½ ľ",
-      "ĠMut ual",
-      "ĠAuthent ication",
-      "ĠKE Y",
-      "ĠB IM",
-      "ap ur",
-      "und ing",
-      "ĠAd ri",
-      "ĠCol our",
-      "IC H",
-      "ĠAnt ony",
-      "Ġson ic",
-      "abil istic",
-      "ĠBoy d",
-      "Ġosm osis",
-      "ĠPhar ise",
-      "c nn",
-      "ur geon",
-      "ke rel",
-      "Ġsp indle",
-      "Ġcomm ute",
-      "Ġind iscrim",
-      "ov sk",
-      "Ġnum erals",
-      "Ġur i",
-      "fil ms",
-      "Pot ential",
-      "ĠSurround ing",
-      "T ax",
-      "Ġt onal",
-      "âĢ ļ",
-      "ĠW atching",
-      "ĠL ICENSE",
-      "ĠG an",
-      "ĠGen et",
-      "Ġhaz el",
-      "Ġtribut ary",
-      "n od",
-      "Ġad verb",
-      "olog ne",
-      "Ġmal adaptive",
-      "ĠAssess ments",
-      "Ġdele ting",
-      "Ġbru ising",
-      "Ġhaw k",
-      "d B",
-      "m ene",
-      "y rus",
-      "ĠS py",
-      "ad vent",
-      "ĠD V",
-      "red dit",
-      "ec ological",
-      "St one",
-      "(\" .",
-      "Ġfore arm",
-      "Ġlif etimes",
-      "ĠHer bal",
-      "sl ope",
-      "AMP LE",
-      "ĠLeices ter",
-      "Ġordin ances",
-      "H CR",
-      "h ai",
-      "t v",
-      "en act",
-      "ot rans",
-      "ĠB au",
-      "ĠTh ousand",
-      "Ġun clean",
-      "Ġun identified",
-      "con version",
-      "Ġpre processing",
-      "Ġunder lie",
-      "co vers",
-      "su fficiency",
-      "Ġcontract ual",
-      "ĠCor pus",
-      "ĠMac ro",
-      "Ġicon ography",
-      "QU E",
-      "Ġlag oon",
-      "Custom er",
-      "ĠAyurved ic",
-      "+ ',",
-      "C our",
-      "P rin",
-      "S ERV",
-      "Ġp lywood",
-      "ĠC asp",
-      "ĠR itual",
-      "Ġqu bits",
-      "AS P",
-      "Ġveget arians",
-      "Ġreprodu cible",
-      "Ġmanip ulations",
-      "Ġrepay ment",
-      "/ ')",
-      "N ear",
-      "m f",
-      "Ġex termin",
-      "red uced",
-      "cess ive",
-      "Ġent rances",
-      "ĠWe bsites",
-      "par agraph",
-      "ĠSh im",
-      "Ġpain killers",
-      "ĠPer se",
-      "Ġspeed y",
-      "Ġdish was",
-      "Ġgrab bing",
-      "ĠFle ming",
-      "Ġirres ist",
-      "nd a",
-      "Ġre iter",
-      "ĠC ain",
-      "ĠG ad",
-      "Gen eric",
-      "ĠBr igham",
-      "Ġretail er",
-      "Ġplut onium",
-      "th orn",
-      "ĠN utrient",
-      "ĠL ig",
-      "ĠK lan",
-      "Ġref urb",
-      "ves ter",
-      "pos p",
-      "sp aces",
-      "Ġconcent ric",
-      "bre v",
-      "Ġstimul ants",
-      "oderm a",
-      "è¦ ģ",
-      "i ou",
-      "ĠB ella",
-      "Ġsc ribes",
-      "atter ies",
-      "ĠCy rus",
-      "ĠBur ton",
-      "Ġparas it",
-      "Ġphosph ory",
-      "Ġmim icking",
-      "Ġfut ile",
-      "liter als",
-      "ĠBring ing",
-      "Ġacquaint ance",
-      "S low",
-      "U pload",
-      "j ang",
-      "s lavery",
-      "Å Ħ",
-      "ar u",
-      "Ġan ne",
-      "ĠAd dition",
-      "Ġmis chie",
-      "Ġtim est",
-      "ãģ «",
-      "connect ions",
-      "ĠAT M",
-      "Mon itoring",
-      "Ġplural ism",
-      "ĠMcG ill",
-      "Ġpancreat itis",
-      "Ġrevital ization",
-      "Ġd andel",
-      "Ġre indeer",
-      "id as",
-      "ĠC ull",
-      "ĠM ond",
-      "Ġfl or",
-      "ick en",
-      "AT M",
-      "Ġsolid ifying",
-      "Ġball istic",
-      "ĠCD s",
-      "ĠPrior itize",
-      "Ġbun ny",
-      "T X",
-      "f usion",
-      "n ance",
-      "p andas",
-      "w ik",
-      "Ġt ester",
-      "ĠD uch",
-      "ĠG rat",
-      "are as",
-      "Ġpe g",
-      "Ġneed y",
-      "att achment",
-      "Ġcoll apses",
-      "Ġ.. .\"",
-      "Ġgrapp les",
-      "Ġnick named",
-      "ĠHyp othesis",
-      "Ġcooper atives",
-      "Ġarous ed",
-      "Ġlandl ords",
-      "ĠE id",
-      "Ġsh orts",
-      "Ġdis location",
-      "hen ce",
-      "Ġsm ear",
-      "'] ):",
-      "Ġcra ve",
-      "Ġcook er",
-      "Ġtraum as",
-      "Ġborder line",
-      "Ġterr ific",
-      "Ġcrocod iles",
-      "priv ile",
-      "or ah",
-      "ĠI li",
-      "ure th",
-      "red ited",
-      "fter s",
-      "com ycin",
-      "sp inal",
-      "Ġorn ith",
-      "ĠBibli ography",
-      "Ġquer yset",
-      "Ġabras ive",
-      "} ^{",
-      "ĠB t",
-      "Ġdep ot",
-      "gen es",
-      "Web ster",
-      "ĠHal ifax",
-      "Ġshout ed",
-      "ĠNeigh borhood",
-      "Coll ins",
-      "ĠClaim s",
-      "; \\",
-      "M aria",
-      "M agic",
-      "k ids",
-      "Ġc reeks",
-      "oc ry",
-      "Ġj s",
-      "Ġtw ilight",
-      "Ġoff ences",
-      "work flow",
-      "ĠAss am",
-      "Ġhom icide",
-      "Ġpark ed",
-      "lik ed",
-      "Ġadvers ary",
-      "mass ive",
-      "igraph ic",
-      "Ġinfrast ructures",
-      "Ġheres y",
-      "ĠT urb",
-      "ag hetti",
-      "Ġcy berspace",
-      "ĠSur prisingly",
-      "ĠPenn y",
-      "ĠEconom ist",
-      "rav ings",
-      "prom pt",
-      "Ġlubric ation",
-      "Peer V",
-      "ĠSid ney",
-      "Ġvenge ance",
-      "r strip",
-      "ë ĭ",
-      "Ġa ka",
-      "ĠR ide",
-      "pt ious",
-      "ast ro",
-      "Ġsc uba",
-      "Ġhum iliation",
-      "Ġorgan elles",
-      "Ġmil ieu",
-      "âĢ¦ )",
-      "ĠPres idency",
-      "Ġmut ants",
-      "gener ally",
-      "prov ided",
-      "Ġinterrupt ing",
-      "ĠPred iction",
-      "ĠScholars hip",
-      "' )))",
-      "P hy",
-      "Ġu id",
-      "ĠD ro",
-      "ĠD oyle",
-      "ĠK yr",
-      "get cwd",
-      "Ġsl it",
-      "ĠDep th",
-      "ĠAut obi",
-      "ĠAtt ach",
-      "ĠArchitect ural",
-      "Ġdishon est",
-      "ur ism",
-      "un gen",
-      "ĠCon ventional",
-      "Ġsuper power",
-      "ĠAc quisition",
-      "pass ed",
-      "Ġrib bons",
-      "ĠFront iers",
-      "fin ancial",
-      "ĠVacc ines",
-      "' (",
-      "ab outs",
-      "Ġge ologist",
-      "ĠArt illery",
-      "Ġfacilit ator",
-      "ĠHy de",
-      "Ġpneum atic",
-      "ĠJane iro",
-      "Ã »",
-      "Ġb umble",
-      "Ġg ul",
-      "ore au",
-      "ĠW att",
-      "ĠN intendo",
-      "ia v",
-      "Ġgl ide",
-      "Ġsl og",
-      "cul a",
-      "Ġfall out",
-      "ĠGreen wich",
-      "Att ention",
-      "Prof essional",
-      "ĠHold ing",
-      "}{ \\",
-      "ĠCauc asian",
-      "Ġestu aries",
-      "c atalog",
-      "r x",
-      "ĠC BS",
-      "and ro",
-      "Ġev oked",
-      "ph s",
-      "ĠRep roduction",
-      "ĠComp ost",
-      "Ġtrust ees",
-      "vis ited",
-      "ĠUse ful",
-      "ĠBo ards",
-      "ĠÐ ¼",
-      "Ġnit rates",
-      "оР¼",
-      "ĠAlong side",
-      "comb ined",
-      "Ġinaug urated",
-      "Ġblueprint s",
-      "Ġnarc iss",
-      "Ġlandsl ide",
-      "? ](",
-      "M os",
-      "Ġf ries",
-      "ĠT end",
-      "res net",
-      "ĠJ aw",
-      "ĠAl askan",
-      "Ġend anger",
-      "Ġvarious ly",
-      "Ġunt apped",
-      "Ġded uction",
-      "-------------------------------- ---",
-      "osph orus",
-      "ĠPath ology",
-      "Ġgran ules",
-      "Ġot ters",
-      "ĠCe res",
-      "J O",
-      "R od",
-      "ul monary",
-      "ĠB ess",
-      "au nder",
-      "ĠV ideos",
-      "ĠCl aire",
-      "Ġmot ility",
-      "time zone",
-      "sum mer",
-      "Ġcarn ivorous",
-      "ĠU ber",
-      "ĠJ ill",
-      "ĠK eller",
-      "Ġreg urg",
-      "com pleted",
-      "arc hes",
-      "âĢľ .",
-      "rad a",
-      "Ġsequ el",
-      "Ġsq rt",
-      "Ġante ced",
-      "Ġmisf ortune",
-      "P in",
-      "Ġt ungsten",
-      "ent ities",
-      "Ġe erie",
-      "ĠW ille",
-      "Ġun answered",
-      "ex pert",
-      "Ġill iterate",
-      "Ġscre aming",
-      "Ġunivers es",
-      "ĠHistor ians",
-      "ĠKore ans",
-      "ĠBrother hood",
-      "ĠFeel ings",
-      "Ġphylogen y",
-      "Ġgira ffe",
-      "t ear",
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-      "@ @",
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-      "Ġarche ological",
-      "ĠParad ox",
-      "Ġsolub ility",
-      "M om",
-      "ĠT art",
-      "ick y",
-      "Ġincre ments",
-      "not ify",
-      "Ġwaste ful",
-      "ĠElect oral",
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-      "Ġtight ening",
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-      "P ON",
-      "Ġc pu",
-      "Ġst ocking",
-      "Ġde ceive",
-      "ĠD ere",
-      "Ġequ ate",
-      "man ufact",
-      "Ġhard en",
-      "Ġsens ibilities",
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-      "CS I",
-      "[:, :,",
-      "lat ent",
-      "оР³",
-      "Pat tern",
-      "Red ucing",
-      "forest ry",
-      "respons es",
-      "ĠGloss ary",
-      "C rypt",
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-      "F ixed",
-      "I ce",
-      "M ARY",
-      "} (",
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-      "ĠM esh",
-      "ĠE ure",
-      "ĠF lem",
-      "ĠR ash",
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-      "Ġeff luent",
-      "esc ape",
-      "Ġtotal itarian",
-      "zz i",
-      "pub med",
-      "å¤ §",
-      "ĠMir ror",
-      "e gg",
-      "st ere",
-      "Ġg ills",
-      "eg y",
-      "Ch art",
-      "And rew",
-      "ĠLock heed",
-      "Ġprerequ isites",
-      "B ottom",
-      "Ġa version",
-      "Ġb ouncing",
-      "ac er",
-      "ĠH are",
-      "ĠE rik",
-      "Ġun question",
-      "the ory",
-      "oph ones",
-      "ĠFl oyd",
-      "Ġinform ally",
-      "Ġcharg er",
-      "Pre venting",
-      "Ġerad icated",
-      "Ġhect are",
-      "FORM AT",
-      "Ġbroch ure",
-      "H earing",
-      "s ess",
-      "ĠS ony",
-      "Ġnews letters",
-      "Ġvalid ator",
-      "ĠUN IX",
-      "Pe ak",
-      "rac use",
-      "Ġreass uring",
-      "ĠEstablish ment",
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-      ": ')",
-      "p w",
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-      "Ġsc orp",
-      "Ġunt old",
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-      "Ġelev ating",
-      "Ġlunch time",
-      "ĠMother s",
-      "Ġquad ru",
-      "'} ),",
-      "Ġdeform ity",
-      "K im",
-      "Ġp aw",
-      "ĠM ith",
-      "Ġph ased",
-      "ĠEarth quake",
-      "Ġbar b",
-      "ĠSim pl",
-      "-------------------------------- -----",
-      "PA A",
-      "sur v",
-      "Ġbrilli ance",
-      "ĠHard ware",
-      "ĠReflect ions",
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-      "Ġcolloqu ial",
-      "ĠT iber",
-      "ĠD rought",
-      "Ġab duct",
-      "ĠTh ou",
-      "Ġrep ro",
-      "Ġpar rots",
-      "Ex ternal",
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-      "ĠEnt ity",
-      "G ets",
-      "M iller",
-      "l ord",
-      "u w",
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-      "An ne",
-      "ο ν",
-      "Ġnurt ured",
-      "Ġstew s",
-      "ĠPil ate",
-      "Ġparaly zed",
-      "ĠT aste",
-      "am er",
-      "Ġinc arn",
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-      "Ġillust rator",
-      "Te ach",
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-      "ĠDigest ive",
-      "ĠIsab ella",
-      "M otor",
-      "c dot",
-      "f ight",
-      "g c",
-      "Ġs igmoid",
-      "du cer",
-      "Ġhum our",
-      "Ġbo asted",
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-      "Ġminim ax",
-      "Ġtele medicine",
-      "SA GE",
-      "ĠGet ty",
-      "Ġcart ridges",
-      "Ġrect ify",
-      "opath ology",
-      "H old",
-      "c aster",
-      "ip ers",
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-      "Ch anging",
-      "Ġgame play",
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-      "cut ta",
-      "Ġperf ume",
-      "public ation",
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-      "Ġtread mill",
-      "controll ers",
-      "Ġbenevol ent",
-      "Ġc s",
-      "ĠE rit",
-      "ĠSt uff",
-      "Ġdifferent iating",
-      "Ġlist ens",
-      "Ġx i",
-      "ĠDis put",
-      "ĠInv ite",
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-      "? ),",
-      "G reg",
-      "j oice",
-      "re levant",
-      "Ġto pp",
-      "Ġle aps",
-      "Ġsh rou",
-      "ild ed",
-      "Ġpe ach",
-      "Ġwater fowl",
-      "ĠAl uminum",
-      "der a",
-      "ĠAm es",
-      "Ġpun itive",
-      "Ġdoor way",
-      "ĠUV B",
-      "Ġhydro chlor",
-      "d iversity",
-      "h ands",
-      "ost atic",
-      "Ġpl ough",
-      "Ġdec is",
-      "br ushes",
-      "IC A",
-      "IF I",
-      "ĠPur itans",
-      "ĠRN As",
-      "Ġanecd otes",
-      "Ġskys crapers",
-      "N odes",
-      "ĠE uler",
-      "Ġen rolling",
-      "oint ment",
-      "ĠZ hao",
-      "Ġep oxy",
-      "Ġtub ers",
-      "ĠColon ies",
-      "Supp lement",
-      "Ġwand ered",
-      "ĠIncorpor ating",
-      "S ci",
-      "ç IJ",
-      "at onic",
-      "ant age",
-      "ĠG ift",
-      "aw att",
-      "Ġbr anched",
-      "Ġmult iv",
-      "ĠChe v",
-      "ãģ Ħ",
-      "eren ced",
-      "Ġcann ons",
-      "Ġvag u",
-      "('. //",
-      "Ġp ears",
-      "Ġex termination",
-      "ĠB RCA",
-      "ĠD ive",
-      "ĠO A",
-      "Ġwill s",
-      "com position",
-      "Ġdel ights",
-      "Ġland owner",
-      "co e",
-      "Ġprob ation",
-      "ĠFl oor",
-      "Ġmount s",
-      "ĠJournal ism",
-      "Ġsweet ener",
-      "ĠAdv ice",
-      "Ed ward",
-      "ocy tic",
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-      "oz o",
-      "Ident ifying",
-      "Ġgor illa",
-      "W rap",
-      "un ken",
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-      "ET A",
-      "ĠBre tt",
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-      "A xis",
-      "Ġo o",
-      "ic ile",
-      "Ġe jected",
-      "Ġst itching",
-      "ĠS ail",
-      "ĠC oding",
-      "ip ur",
-      "ĠK ell",
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-      "Ġbrown ish",
-      "Ġadm iring",
-      "Ġmemor ials",
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-      "Ġincident al",
-      "ĠParent ing",
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-      "ĠOs lo",
-      "Ġhaunt ing",
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-      "Ġm nem",
-      "Ġd ar",
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-      "sc hem",
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-      "Ġstagn ation",
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-      "C OR",
-      "U pper",
-      "en franch",
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-      "ĠB ism",
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-      "Ġwhis key",
-      "altern ative",
-      "esoph ageal",
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-      "Ġunimag inable",
-      "h ua",
-      "ter a",
-      "pe e",
-      "Ġwhe y",
-      "ib o",
-      "form atter",
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-      "Ġpref erring",
-      "App lications",
-      "Ġelectro static",
-      "Ġhal o",
-      "Ġ× IJ",
-      "Ġupl ifting",
-      "great er",
-      "ĠPas adena",
-      "Ġfrank ly",
-      "Ġscrat ches",
-      "Ġst alls",
-      "op ecia",
-      "Ġsub class",
-      "Ġsl ider",
-      "Ġturn out",
-      "Ġsoci ocultural",
-      "ĠTrans c",
-      "lin er",
-      "Ġradio activity",
-      "Ġstamp ed",
-      "ĠKur ds",
-      "iline ar",
-      "N amed",
-      "Ġp av",
-      "ĠC CD",
-      "ĠK uh",
-      "Ġexp el",
-      "ec al",
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-      "sh ut",
-      "Ġpost hum",
-      "ĠLe ipzig",
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-      "Ġrom an",
-      "Ġperpet rator",
-      "ĠElizabeth an",
-      "Ġrh o",
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-      "Ġheart felt",
-      "inter ing",
-      "Ġmultiple x",
-      "oe a",
-      "ĠInf rared",
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-      "Ġcart s",
-      "Le an",
-      "sl ots",
-      "awn ing",
-      "Ġpool ed",
-      "Ġfemin ists",
-      "bro ther",
-      "Ġperme able",
-      "ĠLithuan ian",
-      "Batch Norm",
-      "\" })",
-      "- (",
-      "Ġan them",
-      "ĠH mm",
-      "ĠG av",
-      "ĠJ ah",
-      "Ġ' (",
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-      "Ġprot racted",
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-      "ĠD ollar",
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-      "Ġunder world",
-      "Ġcent red",
-      "ĠGe orgetown",
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-      "K en",
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-      "ĠL ists",
-      "ĠK ang",
-      "ram atic",
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-      "Ch arl",
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-      "uten berg",
-      "through put",
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-      "n iz",
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-      "m agic",
-      "Ġas paragus",
-      "Ġv ind",
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-      "over ride",
-      "ĠPh yt",
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-      "ĠCover age",
-      "ç¤ º",
-      "Ö ¹",
-      "at ians",
-      "Ġm aternity",
-      "ĠF ortune",
-      "Ġover write",
-      "Ġexpl oding",
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-      "Pro blems",
-      "just ice",
-      "Ġgraph ing",
-      "Ġrepe al",
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-      "ĠCle opatra",
-      "Ġantagon ist",
-      "Ġdemocr at",
-      "Ġt ug",
-      "Ġs ack",
-      "Ġc rossover",
-      "Ġp act",
-      "ic ions",
-      "Ġg els",
-      "ĠG es",
-      "Ġcar amel",
-      "Ġfit tings",
-      "Trans lation",
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-      "Ġcoh orts",
-      "f orts",
-      "t rust",
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-      "Ġk ar",
-      "Ġdec oded",
-      "Ġback ups",
-      "ĠSh ak",
-      "Pl anning",
-      "organ ism",
-      "Ġvibr ate",
-      "supp ly",
-      "ĠMi randa",
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-      "C ID",
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-      "Ġg p",
-      "ĠH ER",
-      "Ġha irst",
-      "ĠN OW",
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-      "ĠTh in",
-      "ack er",
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-      "oh a",
-      "Ġconvers ely",
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-      "Ġkiss ing",
-      "Ġrefract ory",
-      "Ġtyph oid",
-      "Ġtheolog ian",
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-      "ĠP anch",
-      "ĠB ering",
-      "Ġval ence",
-      "Ġmill imeter",
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-      "Ġadapt s",
-      "Ġpoll ute",
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-      "ĠMcC le",
-      "Ġmeteor ites",
-      "Ġabsent ee",
-      "C ool",
-      "N i",
-      "it ial",
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-      "ĠN UM",
-      "Ġburn er",
-      "Ad ult",
-      "ĠAmong st",
-      "agg ressions",
-      "aunt ed",
-      "Ġanth ology",
-      "ĠFern ando",
-      "Ġappre hend",
-      "ĠNathan iel",
-      "Ġperce ives",
-      "Ġantise ptic",
-      "O VA",
-      "c ub",
-      "Ġc et",
-      "Ġre define",
-      "ce le",
-      "ĠC atch",
-      "ĠE A",
-      "ast a",
-      "Ġallow ances",
-      "Ġoper ative",
-      "Ġorig ami",
-      "chol ine",
-      "Ġwid ows",
-      "Ġquant ifying",
-      "ĠFund s",
-      "Ġtransmit ters",
-      "Ġdimin ishes",
-      "Ġfolk tales",
-      "food s",
-      "Ġinterchange able",
-      "Ġindig estion",
-      "ĠWals h",
-      "Ġillegit imate",
-      "N uclear",
-      "è ½",
-      "Ġw aged",
-      "al ien",
-      "ar xiv",
-      "ĠD angerous",
-      "Ġind ebted",
-      "() ])",
-      "Ġfunction ally",
-      "Ġlab elling",
-      "Ġbook store",
-      "inc are",
-      "ĠX er",
-      "Ġvisual ized",
-      "ĠTra v",
-      "Ġshop pers",
-      "Ġठķ",
-      "b oolean",
-      "r ifice",
-      "w ake",
-      "Ġc d",
-      "ĠT akes",
-      "Ġch ars",
-      "ĠL oan",
-      "Ġrel ays",
-      "Ġatt ested",
-      "Ġfil enames",
-      "ĠSp ending",
-      "ĠBre xit",
-      "Ġdwar fs",
-      "Ġemig rated",
-      "Ġst or",
-      "ĠG U",
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-      "ĠDis k",
-      "ĠMor se",
-      "Ġsacr ificial",
-      "Ġhusband ry",
-      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ",
-      "Log in",
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-      "Ġsuper powers",
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-      "Ġdefe ats",
-      "EE K",
-      "Ġdedu ctions",
-      "Ġletharg y",
-      "P oll",
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-      "Ġo mission",
-      "ch s",
-      "ĠE col",
-      "Ġprior i",
-      "Ġtruth ful",
-      "ä¸ ĭ",
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-      "ĠHem ing",
-      "Ġreck less",
-      "Ġanarch ist",
-      "rystall ine",
-      "- '",
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-      "ĠS ik",
-      "ĠM aid",
-      "th ank",
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-      "Ġcomp el",
-      "IS BN",
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-      "ĠBra ille",
-      "Ġgly cer",
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-      "t al",
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-      "ell an",
-      "ĠU nexpected",
-      "ĠSt ones",
-      "Ġra ped",
-      "Ġbre wer",
-      "Ġforce fully",
-      "inst ead",
-      "rid ged",
-      "Ġconqu ering",
-      "vari ance",
-      "select or",
-      "________________ ________________",
-      "Ġmang roves",
-      "Ens ure",
-      "ecl ampsia",
-      "ĠNure mberg",
-      "R oom",
-      "f ir",
-      "k v",
-      "erm ann",
-      "Ġlo af",
-      "Ġneut rinos",
-      "ediat r",
-      "Ġbiod iesel",
-      "Run ner",
-      "Ġamphib ian",
-      "R os",
-      "ĠI z",
-      "ac in",
-      "ĠB ipolar",
-      "ĠF ishing",
-      "Ġj ams",
-      "ric ing",
-      "les n",
-      "ĠCon tainer",
-      "ĠPr att",
-      "ĠAqu atic",
-      "en ching",
-      "Ġf oe",
-      "Ġg ren",
-      "ĠA BO",
-      "ĠL al",
-      "Ġnatural istic",
-      "Ġship ments",
-      "Ġinterven ed",
-      "Ġhypogly cemia",
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-      "P air",
-      "at ters",
-      "Ġd ives",
-      "ĠS OL",
-      "ĠF on",
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-      "Ġbul ge",
-      "Ġoverl aps",
-      "Ġthread ed",
-      "Ġoblig atory",
-      "ĠEC G",
-      "Ġbor on",
-      "h z",
-      "ar f",
-      "ĠB ates",
-      "ĠG ABA",
-      "Ġ' ':",
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-      "Ġconc ussions",
-      "ĠAsh ley",
-      "Ġaddict ions",
-      "Ġenlight ening",
-      "Ġequival ence",
-      "Ġendomet riosis",
-      "R H",
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-      "ve h",
-      "ĠP iano",
-      "Ġcomm end",
-      "ĠV s",
-      "ĠSh ack",
-      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ",
-      "Ġround ing",
-      "Ġkn ocking",
-      "Ġdiscrim inated",
-      "ĠOper ational",
-      "Ġven omous",
-      "Ġreass ess",
-      "ĠCapital ism",
-      "Ġreplic ating",
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-      "Ġmuc osal",
-      "Ġextr insic",
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-      "Ġunequ iv",
-      "h in",
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-      "ĠD AT",
-      "|| (",
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-      "c opyright",
-      "it ars",
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-      "ĠSp an",
-      "ĠEvery body",
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-      "Ġpamph lets",
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-      "Un ique",
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-      "ĠAs p",
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-      "ID D",
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-      "ĠLatin x",
-      "Def ine",
-      "Ġsug arcane",
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-      "Â ¾",
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-      "о ÑĤ",
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-      "Ġblur ry",
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-      "ç½ ®",
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-      "ĠC ott",
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-      "chol ester",
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-      "Un able",
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-      "Ġdev otional",
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-      "Ġbarc ode",
-      "ĠDistingu ished",
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-      "Ġh oop",
-      "ĠL opez",
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-      "pect ral",
-      "Ġinc isions",
-      "ĠBl ank",
-      "ĠAm os",
-      "Ġreform ed",
-      "alg orithm",
-      "Ġfles hy",
-      "ĠGM Os",
-      "Channel Type",
-      "CHANT ABILITY",
-      ", :]",
-      "b eg",
-      "Â ¹",
-      "et ra",
-      "Ġus ur",
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-      "Ġmult ivariate",
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-      "ĠAb bott",
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-      "ĠIS P",
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-      "he aling",
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-      "ĠP ep",
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-      "um ina",
-      "ĠJ L",
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-      "Ġcur tail",
-      "sh oot",
-      "Ġbi opsies",
-      "ĠSu itable",
-      "ST EP",
-      "Re ason",
-      "Ġnarr ated",
-      "ĠDub ai",
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-      "Elect ronic",
-      "ĠSequ ential",
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-      "Ġcancell ation",
-      "ĠStephan ie",
-      "æ µ",
-      "erv ille",
-      "ĠUn ified",
-      "Ġext inctions",
-      "Ġcur ricular",
-      "Ġtre asured",
-      "Ġcho ke",
-      "Ġwel ded",
-      "ĠDal ai",
-      "Ġdeform ities",
-      "B ound",
-      "j unct",
-      "v itamin",
-      "Ġs ul",
-      "le ague",
-      "ĠW onders",
-      "ĠF au",
-      "Ġab c",
-      "ag ra",
-      "ĠCom pl",
-      "Ġ__ __",
-      "ĠAN C",
-      "Ġband age",
-      "ĠInv esting",
-      "Mar ie",
-      "Ġcasual ty",
-      "Enc ourage",
-      "ĠYose mite",
-      "r one",
-      "al ine",
-      "Ġin ks",
-      "Ġso ar",
-      "Ġins ults",
-      "Ġtest ified",
-      "ĠAn ab",
-      "ĠAr row",
-      "ĠCl othing",
-      "fer ably",
-      "Ġrevolution aries",
-      "Ġblog ging",
-      "Ġbatt alions",
-      "Ġcosm ological",
-      "erial ize",
-      "Ġintersect ing",
-      "c ke",
-      "Ġperiod icals",
-      "col lege",
-      "EN V",
-      "ĠMac Donald",
-      "ano ia",
-      "Ġconqu ests",
-      "Put ting",
-      "Ġphyt ochemical",
-      "Ġconfisc ated",
-      "ĠBav aria",
-      "ilant ro",
-      "$ \\",
-      "Ġo e",
-      "Ġre ared",
-      "ĠN BC",
-      "Ġk h",
-      "ĠJ H",
-      "iff lin",
-      "Ġcar ibou",
-      "Ġpower fully",
-      "Ġcat ac",
-      "Ġalign ments",
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-      "ĠFrank enstein",
-      "ĠEll a",
-      "NO AA",
-      "çĶ Ł",
-      "Ġarche types",
-      "åŃ ĺ",
-      "ĠDaw son",
-      "ä¿ ¡",
-      "V i",
-      "p itch",
-      "w hel",
-      "al ore",
-      "ĠS ight",
-      "ĠB rent",
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-      "ĠO y",
-      "Ġover growth",
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-      "ĠMin utes",
-      "Ġang i",
-      "Ġá ¸",
-      "Ġeclips es",
-      "Ġdazz ling",
-      "= .",
-      "I PS",
-      "Ù ģ",
-      "Ġex iting",
-      "LA IM",
-      "car rying",
-      "Ġexhaust ing",
-      "Ġdele terious",
-      "ĠFif ty",
-      "Ġinfar ction",
-      "Q R",
-      "Ġa ce",
-      "Ġd ips",
-      "le uk",
-      "qu iet",
-      "ĠB ere",
-      "ĠE PS",
-      "Ġimpro v",
-      "(\" {}",
-      "Ġsl ime",
-      "Ġwid est",
-      "EL P",
-      "ĠHT TPS",
-      "Ġcalm ness",
-      "ĠJun o",
-      "serial izer",
-      "ĠExcell ent",
-      "ä¸Ģ 个",
-      "WID TH",
-      "er ary",
-      "Ġp ys",
-      "ĠT rotsky",
-      "ĠH ak",
-      "Ġse b",
-      "ins eng",
-      "other s",
-      "Ġcomple mented",
-      "ann ual",
-      "Ġfem oral",
-      "obs erved",
-      "oven ants",
-      "Ġnumer acy",
-      "Ġtranscend ent",
-      "ĠComprehens ion",
-      "Ġcentr ally",
-      "ĠCCS S",
-      "ĠCul inary",
-      "NotFound Error",
-      "Ġunknow ingly",
-      "Ġmonst rous",
-      "d ream",
-      "ĠJ PL",
-      "Ġsl oping",
-      "Ġprim ers",
-      "Ġacqu ires",
-      "Ġaggrav ated",
-      "~~~~~~~~ ~~~~~~~~",
-      "O cean",
-      "j in",
-      "ent in",
-      "ĠC CC",
-      "ĠW ah",
-      "ĠL ys",
-      "ĠU m",
-      "Ġra ced",
-      "ĠOr well",
-      "ĠInst alling",
-      "aff in",
-      "Ġlo oph",
-      "Ġenvelop es",
-      "Tur k",
-      "Ġtravers ing",
-      "C os",
-      "Ġw ards",
-      "Ġf g",
-      "Ġd itches",
-      "ol ve",
-      "qu ate",
-      "ĠH ag",
-      "Ġch illed",
-      "ĠRe actions",
-      "ĠHol ly",
-      "Ġcounter feit",
-      "Ġamb assadors",
-      "Ġsin cerity",
-      "+ .",
-      "R M",
-      "c ategorical",
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-      "Ġe Book",
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-      "ĠT T",
-      "ut orial",
-      "ĠR ag",
-      "pt ime",
-      "ĠV ib",
-      "Ġbroad ening",
-      "Ġfasc ist",
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-      "ĠÐ ·",
-      "Ġneut roph",
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-      "Å ¾",
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-      "ĠL B",
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-      "ĠAng er",
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-      "MS G",
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-      "Ġmol asses",
-      "ĠGre co",
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-      "AB ASE",
-      "Ġempt ying",
-      "ĠLog in",
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-      "accept ed",
-      "Ġstip ulated",
-      "Ġterra ces",
-      "Ġprecaution ary",
-      "Ġgymn astics",
-      "Ġpanor amic",
-      "ĠHeming way",
-      "H s",
-      "q i",
-      "v l",
-      "Ø ©",
-      "le igh",
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-      "Ġquest s",
-      "iol a",
-      "ĠCour tesy",
-      "Ġinfect s",
-      "ĠSet t",
-      "Ġstorm y",
-      "ĠMass acre",
-      "Ġstomach s",
-      "ĠSuper intendent",
-      "ĠMagn a",
-      "Meta Info",
-      "I ds",
-      "L IN",
-      "ot ry",
-      "ĠP PE",
-      "ĠE sk",
-      "Ġdist ill",
-      "ĠQu akers",
-      "ĠHer bs",
-      "Ġsin ister",
-      "Ġaccompan iment",
-      "ĠPul itzer",
-      "åº ¦",
-      "Ve get",
-      "L ily",
-      "Ġin clusions",
-      "ĠM ae",
-      "Ġcont ends",
-      "Ġac claim",
-      "Ġgl omer",
-      "Ġcapt ives",
-      "ĠTw entieth",
-      "Ġprop ane",
-      "ĠIr rigation",
-      "Ġadm irable",
-      "Ġoutl awed",
-      "ĠTry ing",
-      "EX P",
-      "ĠLE ED",
-      "Ġinaug uration",
-      "Ġencro achment",
-      "A ctions",
-      "p ans",
-      "| \\",
-      "Ġt bsp",
-      "Ġp ym",
-      "Ġp udding",
-      "Ġto ggle",
-      "ent anyl",
-      "ĠT YPE",
-      "Ġch ocol",
-      "ĠSt ages",
-      "cy stic",
-      "Ġconc ave",
-      "ĠAss et",
-      "Ġliqu ef",
-      "ĠConn ected",
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-      "Ġdetermin istic",
-      "rout ine",
-      "- .",
-      "a eda",
-      "c ong",
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-      "Ù Ĥ",
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-      "Ġ( _",
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-      "Ġdr unken",
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-      "ĠBon n",
-      "ĠPred ictor",
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-      "ĠKa plan",
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-      "B IT",
-      "s f",
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-      "ĠP ipe",
-      "Ġr iddles",
-      "Ġout fits",
-      "ĠRe cipe",
-      "Ġdet on",
-      "de en",
-      "ĠX III",
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-      "requ irements",
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-      "Ġs ipping",
-      "Ġe ater",
-      "Ġex odus",
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-      "Ġdis enfranch",
-      "Ġpe aches",
-      "Ġgrow er",
-      "ĠAct ivism",
-      "ĠCO M",
-      "Col our",
-      "Ġlecture rs",
-      "Ġschedul er",
-      "ĠCollab orate",
-      "ĠBoy le",
-      "ĠTao ism",
-      "Ġenshr ined",
-      "' \")",
-      "¦ Ĥ",
-      "olog na",
-      "ef er",
-      "Ġwater falls",
-      "ĠAs semb",
-      "ĠPro x",
-      "sc aling",
-      "Ġput ative",
-      "Ġcolor less",
-      "Ġfinal ized",
-      "Ġfast ened",
-      "ĠProv ider",
-      "project ion",
-      "ĠKen yan",
-      "Ġorth ogonal",
-      "á¹ Ľ",
-      "Ġfurnish ings",
-      "assemb led",
-      "A X",
-      "V ision",
-      "f erences",
-      "r asing",
-      "Ġr ut",
-      "Ġind ict",
-      "ĠK ipp",
-      "ĠInd icators",
-      "Ġpost docs",
-      "Ġintern ment",
-      "ĠCal cutta",
-      "Ġrout ed",
-      "Ġcolon ize",
-      "ĠMost ly",
-      "Ġmit z",
-      "Ġempt iness",
-      "Per formance",
-      "ĠSil ent",
-      "Ġretrie ving",
-      "æĸ °",
-      "cover age",
-      "Ġcancel ed",
-      "Impro ving",
-      "R AM",
-      "c ru",
-      "ĠC roc",
-      "Ġseem ing",
-      "Ġforce ful",
-      "ĠRet ail",
-      "bre aks",
-      "Ġwatch ful",
-      "Ġradi ating",
-      "Ġoscill ator",
-      "ĠTrib unal",
-      "Ġtrop es",
-      "F ields",
-      "Ġs ings",
-      "Ġcon verse",
-      "Ġch ina",
-      "ĠJ ab",
-      "so far",
-      "Ġsc rib",
-      "ink ling",
-      "ĠLe ast",
-      "Ġge ospatial",
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-      "sche me",
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-      "ĠHod g",
-      "ubile e",
-      "d well",
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-      "Ġha re",
-      "Ġpo ke",
-      "ĠQ in",
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-      "ĠSc hema",
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-      "ĠDef icit",
-      "ĠGreen peace",
-      "ĠOut reach",
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-      "ภ²",
-      "Ġfisher man",
-      "ĠBrain storm",
-      "Ġamput ation",
-      "v ian",
-      "w ant",
-      "at ype",
-      "it izing",
-      "Ġin p",
-      "Ġe aves",
-      "ĠF C",
-      "ĠN ina",
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-      "ĠGu am",
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-      "atur ity",
-      "HO ME",
-      "Brow se",
-      "ĠAcknow ledge",
-      "P akistan",
-      "a er",
-      "d q",
-      "at uring",
-      "em aker",
-      "ĠD ense",
-      "Ġsh uff",
-      "Ġme gal",
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-      "ĠGen omics",
-      "Ġann um",
-      "ĠVir gil",
-      "sm ooth",
-      "exist ence",
-      "ĠSand ra",
-      "ĠSep arate",
-      "ĠLay ers",
-      "ĠED T",
-      "Ġproto z",
-      "I AN",
-      "b h",
-      "Ä Ł",
-      "Ġh r",
-      "ut ans",
-      "op ies",
-      "Ġr gb",
-      "ĠO kin",
-      "Ġk inetics",
-      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ",
-      "yl an",
-      "Ġkn ob",
-      "Ġoxid ized",
-      "Spe ech",
-      "J son",
-      "f ri",
-      "Ġb ucks",
-      "Ġe el",
-      "ĠP J",
-      "ĠD RC",
-      "ĠN im",
-      "ters hire",
-      "Ġcut ters",
-      "Ġexcell ed",
-      "Ġoscill ation",
-      "Ġrefere es",
-      "ĠConfuci us",
-      "le et",
-      "ol ks",
-      "ĠB SD",
-      "Ġad mon",
-      "Ġcomm ens",
-      "Ġup hill",
-      "Ġdec el",
-      "ĠAl ien",
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-      "Ġnotice ably",
-      "sign ificant",
-      "ĠMaced onian",
-      "Wil son",
-      "at osis",
-      "ĠS ERV",
-      "ĠC oh",
-      "ĠW alls",
-      "ite xt",
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-      "ĠEng l",
-      "Ġsent imental",
-      "ĠPe pper",
-      "ĠMar in",
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-      "ĠProdu ce",
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-      "ĠL us",
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-      "Col a",
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-      "ĠHy der",
-      "Ġfing ern",
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-      "ĠCoord ination",
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-      "Ġlad en",
-      "Ġwit ty",
-      "æŀ ľ",
-      "esare an",
-      "k on",
-      "Ġo racle",
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-      "ĠC annabis",
-      "Ġr ang",
-      "Ġsh unt",
-      "light ly",
-      "Ġdiet ing",
-      "čĊ ĉĉĉĉ",
-      "âĢ¦ ..",
-      "Sh ift",
-      "ĠSch warz",
-      "[: :-",
-      "oly b",
-      "Ġcontradict s",
-      "Ġinh aling",
-      "ĠAssy ria",
-      "Ġeigen values",
-      "Ġparaph rase",
-      "Ġoppos ites",
-      "c ens",
-      "Ġs aga",
-      "ĠM olly",
-      "ĠH LA",
-      "Ġsub terranean",
-      "Ġrep rogram",
-      "ĠSh aping",
-      "Ġpath ologist",
-      "ĠAfter wards",
-      "Ġpal ae",
-      "Ġscript ing",
-      "ĠAcc om",
-      "Ġske ptics",
-      "Ġvac ations",
-      "Ġblind ly",
-      "atern ary",
-      "ĠCos mic",
-      "Ġcrick ets",
-      "Ġpolyphen ols",
-      "Ġhilar ious",
-      "t us",
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-      "ir ubin",
-      "Ġcon com",
-      "ĠH ue",
-      "ĠF ake",
-      "Ġse ren",
-      "Ġj an",
-      "pr ises",
-      "ĠSh ot",
-      "IN PUT",
-      "Ġcapt ains",
-      "ĠPar se",
-      "Me asuring",
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-      "stru al",
-      "ĠTy ph",
-      "ĠStra uss",
-      "------------------------ -",
-      "Ġhegemon y",
-      "æģ ¯",
-      "m olecule",
-      "w ara",
-      "å İ",
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-      "id ic",
-      "ĠS ap",
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-      "Ġmon og",
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-      "Ġtop soil",
-      "ĠPh yl",
-      "ott i",
-      "ĠPre ston",
-      "gra ds",
-      "Ġdu ly",
-      "Ġaqu educt",
-      "conf lict",
-      "ocy steine",
-      "Ġharmon ies",
-      "Ġdepr ive",
-      "Ġlever aged",
-      "Ġstrat ified",
-      "ĠKel vin",
-      "Ġarrog ance",
-      "f resh",
-      "k id",
-      "ĠR OM",
-      "ĠK ick",
-      "oss ils",
-      "aut iful",
-      "Im mun",
-      "ios ync",
-      "Great er",
-      "ĠMuss olini",
-      "g if",
-      "j k",
-      "Ġm asc",
-      "im uth",
-      "ĠD EF",
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-      "act ually",
-      "ĠJ W",
-      "con cent",
-      "cy st",
-      "Ġconst rued",
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-      "ภ£",
-      "Ġvaric ose",
-      "J C",
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-      "Ġc ic",
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-      "ĠM Ps",
-      "th or",
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-      "Ġpres ided",
-      "Ġdec ou",
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-      "Ġassoci ating",
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-      "Ġstre ak",
-      "ĠHol ocene",
-      "Ġattract iveness",
-      "ĠMat thews",
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-      "Ġcritic izing",
-      "success fully",
-      "OUT PUT",
-      "Ġmyel in",
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-      "m atching",
-      "o ices",
-      "Ã ¬",
-      "Ġd pi",
-      "Ġst inging",
-      "ĠB ram",
-      "ĠF ors",
-      "Ġun named",
-      "ĠV ista",
-      "Ex ist",
-      "inf os",
-      "Ġparam etric",
-      "Ġcollabor ator",
-      "ĠÃ Ĩ",
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-      "Ġinspect ing",
-      "Ġenact ment",
-      "G i",
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-      "ig es",
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-      "ĠV L",
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-      "Ġhard working",
-      "ĠSu fi",
-      "Ġtrust worthiness",
-      "ठ¦",
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-      "Ġphon ological",
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-      "Ġcommemor ated",
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-      "M esh",
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-      "Ġimm utable",
-      "sc roll",
-      "pre process",
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-      "Ġrandom ness",
-      "ĠWrit ings",
-      "Ġcritic ised",
-      "Ġrent s",
-      "Lab els",
-      "Call back",
-      "rup ulous",
-      "Import ance",
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-      "a head",
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-      "ne eds",
-      "erm o",
-      "Ġbr ushed",
-      "orn o",
-      "ĠBra hma",
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-      "ĠCP Us",
-      "Ġrepublic s",
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-      "it ius",
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-      "|| =",
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-      "? |",
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-      "ĠM ifflin",
-      "ĠG ig",
-      "ĠO ss",
-      "ĠO bl",
-      "Ġpre face",
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-      "Ġseason ality",
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-      "CP U",
-      "Ġcheap ly",
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-      "measure ment",
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-      "AAAA AAAA",
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-      "Form ation",
-      "ĠDecl ine",
-      "Ġpap aya",
-      "ĠNort heastern",
-      "ĠBasil ica",
-      "Pur pose",
-      "SER VER",
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-      "ĠA unt",
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-      "Ġdis grace",
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-      "hers on",
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-      "p oke",
-      "ĠD os",
-      "ĠF eng",
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-      "Ġsc aly",
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-      "Ġpersist ently",
-      "Ġphr asing",
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-      "Ġasc etic",
-      "Ġfur ious",
-      "Ġcond enser",
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-      "Non etheless",
-      "B ed",
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-      "b ah",
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-      "ĠR ex",
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-      "ĠGl ory",
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-      "Ġorn ate",
-      "Ġore gano",
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-      "Ġf ax",
-      "Ġb b",
-      "Ġst unned",
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-      "ĠL iqu",
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-      "ĠR aleigh",
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-      "Ġinf all",
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-      "Ġst umbling",
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-      "Ġpoll inator",
-      "rap ists",
-      "-------------------------------- ----------",
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-      "Ġlubric ant",
-      "ĠKyr gyz",
-      ": (",
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-      "ĠPoly techn",
-      "ĠEli as",
-      "Ġensl avement",
-      "tick er",
-      "Ġmerc ant",
-      "Ġanarch ists",
-      "ĠFol klore",
-      "Hung ary",
-      "ĠCelebr ating",
-      "Ġprocrast ination",
-      "g am",
-      "m ining",
-      "å §",
-      "è ĥ½",
-      "Ġc ot",
-      "Ġp om",
-      "ĠP ia",
-      "iv irus",
-      "qu akes",
-      "rom ycin",
-      "ĠD ir",
-      "ib i",
-      "Ġind eterm",
-      "Ġra cks",
-      "app ointed",
-      "ĠAd ler",
-      "Ġfil ming",
-      "ĠCl erk",
-      "IC s",
-      "Ġappe ase",
-      "Ġthr ift",
-      "ĠHuman itarian",
-      "ij k",
-      "ĠBen z",
-      "ĠAny way",
-      "Ġirrit ants",
-      "Ġlie u",
-      "ĠZh u",
-      "Ġmeg awatts",
-      "Ġjur ors",
-      "Ġlia ison",
-      "p ac",
-      "Ġa ft",
-      "et in",
-      "Ġst arches",
-      "Ġsur fact",
-      "ĠIs is",
-      "ribut ing",
-      "Ġred iscovered",
-      "ĠGu ill",
-      "ĠQu iet",
-      "Ġhyd rology",
-      "And erson",
-      "ĠSur geons",
-      "Ġble m",
-      "draw al",
-      "Am azon",
-      "fin ish",
-      "Ġrevis iting",
-      "ĠConcern ing",
-      "Ġdich otomy",
-      "Ġ ا",
-      "an ut",
-      "ĠP SA",
-      "ĠF TP",
-      "__ ),",
-      "Ġcent ering",
-      "ĠSh u",
-      "pre p",
-      "ĠLe iden",
-      "ĠCal houn",
-      "Ġaltern ately",
-      "Ġweak ly",
-      "Ġheight en",
-      "tra cker",
-      "ĠHum or",
-      "Ġcler ical",
-      "Ġalk ali",
-      "Ġhegemon ic",
-      "Ġovershad owed",
-      "w ag",
-      "Ġl uggage",
-      "ĠC ot",
-      "ĠP NG",
-      "ĠB SE",
-      "line arity",
-      "Ġbre wed",
-      "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
-      "Ġox en",
-      "Ġten acity",
-      "Ġcoll iding",
-      "ros ine",
-      "Ġpick led",
-      "Ġpreced e",
-      "pine phrine",
-      "middle ware",
-      "Ġchampions hip",
-      "vacc inated",
-      "ĠMosquit o",
-      "? ||",
-      "G it",
-      "S AM",
-      "Ġ ```",
-      "ĠM ikhail",
-      "Ġr angers",
-      "ĠN FL",
-      "ru z",
-      "cl iffe",
-      "ĠU mb",
-      "Ġimp airs",
-      "Ġher mene",
-      "Ġ[ ('",
-      "Ġgrou se",
-      "Ġhuman ism",
-      "Ġrisk ed",
-      "pat ches",
-      "ĠSy ll",
-      "UN C",
-      "Ab d",
-      "Ġmac kerel",
-      "Ġcomposition al",
-      "ĠCheck list",
-      "Ġven erable",
-      "Ġroyal ties",
-      "Ġexch anger",
-      "ĠPL OS",
-      "Ġcatalog s",
-      "Ġdorm ancy",
-      "Ġlamin ated",
-      "ĠRoh ing",
-      "ĠDecre ased",
-      "Ġinterspers ed",
-      "P enn",
-      "ĠĠĠĠ ĊĠĠĠ",
-      "Ġst o",
-      "ver ified",
-      "Ġso ared",
-      "Ġve gans",
-      "IS ING",
-      "ĠQu int",
-      "orph ous",
-      "ĠHarm on",
-      "åŃ IJ",
-      "Ġstyl ized",
-      ",,,,,,,, ,,,,,,,,",
-      "hen y",
-      "rop od",
-      "Ġmagn ified",
-      "ĠMin h",
-      "Ġang led",
-      "ĠLand mark",
-      "Ġnumer ically",
-      "Ġdeploy ments",
-      "Ġguarantee ing",
-      "ĠExec ution",
-      "curs ive",
-      "Rap id",
-      "Ġthro ats",
-      "ĠCarth age",
-      "ĠKipp ur",
-      "ĠM ou",
-      "ĠM oy",
-      "ĠW C",
-      "ĠG nostic",
-      "ĠO dd",
-      "Ġsp a",
-      "ob y",
-      "ray er",
-      "Ġpost secondary",
-      "Ġtool bar",
-      "ĠInt ake",
-      "\"] =",
-      "count ries",
-      "Ġdoubt less",
-      "Ġstuff ing",
-      "ĠSi em",
-      "ĠCB SE",
-      "Ġminus cule",
-      "Ġhemorrh agic",
-      "Ġsard ines",
-      "M and",
-      "in fer",
-      "Ġc ilantro",
-      "om avirus",
-      "ol ome",
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-      "so hn",
-      "Ġunder lined",
-      "Ġins idious",
-      "Ġtest es",
-      "ash ire",
-      "ĠSh ia",
-      "sh own",
-      "ule t",
-      "Ġhistor iography",
-      "ĠAm az",
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-      "ĠCR T",
-      "Ġbrilli antly",
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-      "ç «",
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-      "ĠG LO",
-      "ĠK iki",
-      "Ġcur ative",
-      "ĠPro long",
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-      "Ġland fall",
-      "inc hed",
-      "bol t",
-      "umb les",
-      "Ġpursu ant",
-      "ĠFour teenth",
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-      "Ġev ocative",
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-      "Ġz u",
-      "Ġrad ii",
-      "ĠRed ist",
-      "IL Y",
-      "cap ac",
-      "Ġbio informatics",
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-      "Ac ute",
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-      "Ġreplic as",
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-      "- $",
-      "c rum",
-      "r anges",
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-      "con verter",
-      "Ġinv al",
-      "Ġsub field",
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-      "ĠWe aver",
-      "Ġred ox",
-      "bl ogs",
-      "ĠOpt imal",
-      "Key Not",
-      "Add Field",
-      "ĠSpirit uality",
-      "ĠPrint ed",
-      "Ġscram bled",
-      "Ġperil ous",
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-      "Ġincompet ent",
-      "ομ αι",
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-      "R uss",
-      "a ires",
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-      "d rops",
-      "Ð Ĵ",
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-      "ĠG oose",
-      "ĠG ras",
-      "Ġk erosene",
-      "ĠAs iatic",
-      "Ġop acity",
-      "ming ton",
-      "__( *",
-      "Ġcomprehens ively",
-      "Ġfilm maker",
-      "Ġbrother hood",
-      "Ġce mented",
-      "ĠHur on",
-      "Ġpa ediatric",
-      "Ġtoss ing",
-      "ĠDin osaur",
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-      "Ġnymph s",
-      "Ġellip se",
-      "F ine",
-      "k p",
-      "ĠE TH",
-      "Ġall uvial",
-      "ĠTh oreau",
-      "Ġded uced",
-      "New ton",
-      "ĠIN D",
-      "obj s",
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-      "Ġembed dings",
-      "ĠParent al",
-      "ĠPu get",
-      "Ġovers aw",
-      "Ġchim ps",
-      "ĠCL R",
-      "Ġsam urai",
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-      "m ails",
-      "Ġe rection",
-      "ĠB ake",
-      "ĠE isen",
-      "Ġun mist",
-      "Ġob long",
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-      "Ġeng ravings",
-      "Ġstory lines",
-      "writ es",
-      "dat as",
-      "ĠElect ions",
-      "vol t",
-      "Trans l",
-      "ĠNum erical",
-      "azz o",
-      "Ġperme ate",
-      "LOG GER",
-      "ĠPic chu",
-      "ĠIncorpor ated",
-      "compar ison",
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-      "Ġt ipped",
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-      "det ector",
-      "ĠPay ne",
-      "Mon ths",
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-      "Ġalien ated",
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-      "ĠAlban ian",
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-      "Ġ+ /-",
-      "agn a",
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-      "ĠCl an",
-      "of i",
-      "Ch ris",
-      "Ġsqu e",
-      "ĠRem embrance",
-      "vis ional",
-      "Ġbul imia",
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-      "direct or",
-      "ĠChief s",
-      "iph any",
-      "adv anced",
-      "Ġital ic",
-      "Ġchocol ates",
-      "m v",
-      "Ġch ivalry",
-      "ĠN I",
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-      "ĠK L",
-      "ne v",
-      "In flamm",
-      "ex amination",
-      "Ġsol vers",
-      "Ar n",
-      "bed o",
-      "ĠJose f",
-      "ĠCard iff",
-      "pret ty",
-      "week ly",
-      "ĠBor is",
-      "ĠIDE A",
-      "B ol",
-      "p oles",
-      "w u",
-      "Ġre w",
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-      "est rogen",
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-      "art ist",
-      "Ġind ia",
-      "te c",
-      "ĠCh att",
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-      "ĠEn och",
-      "Ġinflu encers",
-      "Ġbur gl",
-      "cal endar",
-      "ĠSupp lies",
-      "ĠHon olulu",
-      "ĠFew er",
-      "spl itext",
-      "Ġmartyr dom",
-      "j am",
-      "Ġa vert",
-      "he v",
-      "ic ially",
-      "op oulos",
-      "ĠM acc",
-      "ĠW ills",
-      "ĠF eld",
-      "Ġsh ack",
-      "ĠL ift",
-      "erv ative",
-      "Ġmy opia",
-      "Ġprom oters",
-      "Ġpost ulated",
-      "Ġbreak age",
-      "list en",
-      "aur a",
-      "Ġrow ing",
-      "Ġsan ity",
-      "Ġperf usion",
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-      "B ind",
-      "ĠT emporary",
-      "am us",
-      "ĠThe bes",
-      "ĠK afka",
-      "Ġfore nsics",
-      "AT ES",
-      "ĠGu itar",
-      "ĠMc Int",
-      "ĠSam i",
-      "ĠIns ight",
-      "Prot ect",
-      "ĠBud apest",
-      "Function al",
-      "Ġevid ences",
-      "Fun ctions",
-      "ĠStrept ococcus",
-      "ĠBism arck",
-      "c one",
-      "Ã ½",
-      "Ġp aves",
-      "ĠP p",
-      "Ġv ass",
-      "Ġsu personic",
-      "ĠF ate",
-      "ĠF ertility",
-      "ĠG anga",
-      "AT IVE",
-      "ĠMe as",
-      "Ġbacter i",
-      "ĠBar bad",
-      "Cre ation",
-      "jo ined",
-      "Ġdy ed",
-      "Ġcro pped",
-      "+- +-",
-      "Ġperiodont itis",
-      "N arr",
-      "á ¼",
-      "Ġa pr",
-      "ĠV ote",
-      "ĠChrist ie",
-      "Ġsust ains",
-      "Ġcapital ization",
-      "Ġegg plant",
-      "Ġpig mentation",
-      "har ata",
-      "Ġbutt ocks",
-      "Ġlin estyle",
-      "Ġvocal izations",
-      "ĠRain forest",
-      "ĠCondition ing",
-      "Ġoft entimes",
-      "ĠOrbit er",
-      "toplas mic",
-      "Ġw rench",
-      "Ġf rant",
-      "ĠC uc",
-      "ĠB acter",
-      "Ġcommunic ators",
-      "Ġठ¸",
-      "interest ing",
-      "ĠTele phone",
-      "Ġreplic ates",
-      "ĠFlex ibility",
-      "Ġscrat ched",
-      "DEL ETE",
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-      "HET ATM",
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-      "j ord",
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-      "Ġin animate",
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-      "Ġk iwi",
-      "ĠSt range",
-      "ath ing",
-      "Ġsc ape",
-      "ĠSh opping",
-      "Ġcomb inator",
-      "rem lin",
-      "Ġfederal ism",
-      "Set up",
-      "Ġorbit er",
-      "Ġreconc iled",
-      "Ġoct op",
-      "Ġtwe ak",
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-      "Ġannih ilation",
-      ". ):",
-      "t les",
-      "| -",
-      "Ġp ang",
-      "Ġex alted",
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-      "um etric",
-      "un ya",
-      "Ġse izing",
-      "ĠK ale",
-      "Ġpo x",
-      "ĠAl ma",
-      "ĠCl osed",
-      "ĠCont ribution",
-      "Ġfru iting",
-      "ĠST Ds",
-      "Ġcere bellum",
-      "Ġelev ators",
-      "Ġlic hen",
-      "vol ent",
-      "Ġmitig ated",
-      "ĠInteg rative",
-      "ĠProp onents",
-      "ĠCart a",
-      "Ġaccret ion",
-      "M Hz",
-      "re li",
-      "all ion",
-      "ck en",
-      "ĊĠĠĠĠ ĊĠĠĠĠĠĠĠ",
-      "Ġcolon el",
-      "Ġstar ved",
-      "ĠRef rig",
-      "check er",
-      "ĠUt ilities",
-      "Ġmur ky",
-      "Ġrent ing",
-      "ĠPeriod ically",
-      "Ġsne aky",
-      "ĠWH AT",
-      "Ġparadox ical",
-      "ĠPompe ii",
-      "Ġadip ose",
-      "ĠNiel sen",
-      "B rief",
-      "C u",
-      "D OT",
-      "M ail",
-      "g id",
-      "p db",
-      "Ġp ediatrics",
-      "ĠT ags",
-      "am ond",
-      "Ġwh im",
-      "ĠP ang",
-      "Ġsh one",
-      "Ġres ists",
-      "ĠJ ong",
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-      "Ġphot ore",
-      "Ġflu ently",
-      "Ġcru ising",
-      "Se vere",
-      "ĠInv asion",
-      "ü n",
-      "izz ard",
-      "MD R",
-      "Ġpresum ption",
-      "emat ics",
-      "STR UCT",
-      "Review ed",
-      "NUM BER",
-      "Ġdelic acy",
-      "Ġawaken ed",
-      "ĠBark er",
-      "Ġsher iff",
-      "p as",
-      "Ġa ide",
-      "re ceive",
-      "Ġf oes",
-      "el ands",
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-      "ĠK err",
-      "of lu",
-      "Ch ain",
-      "]) [",
-      "Ġprop ellant",
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-      "Ġswim mer",
-      "itan ia",
-      "Ġrelie ves",
-      "Back end",
-      "opl as",
-      "Gl ob",
-      "rend ip",
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-      "ĠRoll s",
-      "ĠDart mouth",
-      "Ġtimet able",
-      "Ġin human",
-      "id ase",
-      "Ġcon clusively",
-      "ac ute",
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-      "Ġle vers",
-      "rou ting",
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-      "uro pathic",
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-      "list ener",
-      "ĠEd monton",
-      "Conn ell",
-      "Ġharmon ics",
-      "ĠProtocol s",
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-      "ĠQuin cy",
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-      "ve au",
-      "ĠC oul",
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-      "ĠCl air",
-      "Ġ_ ('",
-      "Ġfoot notes",
-      "Ġsynt actic",
-      "Ġsmooth ie",
-      "ĠEp stein",
-      "ĠProduct ivity",
-      "cop rote",
-      "Ġsnipp ets",
-      "Ġsanit izer",
-      "PRE FIX",
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-      "quart ered",
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-      "ĠSe ymour",
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-      "Ġphys iotherapy",
-      "Ġcap it",
-      "ention ed",
-      "ium s",
-      "(\" #",
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-      "LE VEL",
-      "but tons",
-      "Hist oric",
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-      "Ġtreat ises",
-      "Ġplan ter",
-      "ĠZ ip",
-      "ĠComp rom",
-      "ET H",
-      "Ġboard ed",
-      "Ġbow ling",
-      "ĠSpecial ists",
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-      "ĠSep hard",
-      "Ġbiomark er",
-      "in u",
-      "Ġw ick",
-      "Ġy a",
-      "Ġhe uristic",
-      "Ġv ocation",
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-      "Ġwe athered",
-      "ĠE q",
-      "ĠR FC",
-      "pl ier",
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-      "ĠThere after",
-      "ĠEng el",
-      "Ġz yg",
-      "Ġprob ate",
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-      "h ogs",
-      "n ies",
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-      "UR S",
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-      "Ġre opened",
-      "ore pinephrine",
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-      "Ġsc orn",
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-      "Ġmult il",
-      "Ġbi otic",
-      "ĠCont rolling",
-      "Ġdro plet",
-      "Ġtoxic ology",
-      "ĠSal on",
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-      "Ġprosec ute",
-      "Ġplayground s",
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-      "magn itude",
-      "T AR",
-      "l ung",
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-      "ang ling",
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-      "co ast",
-      "Ġtoler ances",
-      "Ġmac ros",
-      "ĠMult icultural",
-      "Fl ash",
-      "disc rim",
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-      "ĠAchie ving",
-      "bench mark",
-      "ra ils",
-      "ĠC aring",
-      "ĠD oming",
-      "ĠR hythm",
-      "ace an",
-      "Ġinter locking",
-      "Ġpo ker",
-      "Ġmat uring",
-      "Ġyoung ster",
-      "Ġperfect ing",
-      "ĠMus a",
-      "Ġmiss p",
-      "MS E",
-      "Ġnod ding",
-      "Diff erence",
-      "Ġretro fit",
-      "Ġboss es",
-      "ĠBreast feeding",
-      "Ġsilhou ette",
-      ") <",
-      "j id",
-      "p ca",
-      "em ployed",
-      "ĠF aul",
-      "ĠY i",
-      "ty ped",
-      "ck pt",
-      "Ġgra cious",
-      "Ġsoci ologists",
-      "Ġbro kers",
-      "ĠCan ary",
-      "inter cept",
-      "ĠRemember ing",
-      "Ġadopt ive",
-      "Ne il",
-      "ĠBa al",
-      "privile ged",
-      "ĠIli ad",
-      "d raft",
-      "Ġt rophy",
-      "at ro",
-      "se gments",
-      "Ġit erator",
-      "ĠL IFE",
-      "act iv",
-      "ĠK ak",
-      "oth o",
-      "Ġent icing",
-      "Ġche ering",
-      "sc opy",
-      "Ġcat ers",
-      "ĠComp ound",
-      "ris ings",
-      "Ġmist reatment",
-      "ĠGold berg",
-      "comput ing",
-      "Ġ'' ',",
-      "PRO JECT",
-      "ĠNag asaki",
-      "Jam ie",
-      "j una",
-      "al ready",
-      "ĠI PS",
-      "Ġan archy",
-      "ĠD iverse",
-      "gh a",
-      "ĠAt om",
-      "Ġcir cling",
-      "ĠSc enario",
-      "ĠMe als",
-      "Ġtri ang",
-      "ĠPres erving",
-      "Ġdecided ly",
-      "Ġdepartment al",
-      "ĠWill is",
-      "Pre viously",
-      "ĠRock ies",
-      "Ġchicken pox",
-      "ĠSit uation",
-      "Ġunle ashed",
-      "Ġker atin",
-      "Ġdemean or",
-      "K enn",
-      "T ib",
-      "Ġc ada",
-      "Ġd ag",
-      "Ġal ley",
-      "ĠW ren",
-      "Ġins ensitive",
-      "ĠCal tech",
-      "é es",
-      "Ġreligious ly",
-      "rid or",
-      "Cont ains",
-      "Ġcolour ing",
-      "cit izens",
-      "Ġcrunch y",
-      "ĠLor raine",
-      "Ġsalam anders",
-      "B in",
-      "D ES",
-      "Ġin versely",
-      "ĠC ough",
-      "and e",
-      "ĠH b",
-      "ne es",
-      "Ġturn around",
-      "oll ah",
-      "ounc ill",
-      "ĠPost s",
-      "ĠLands at",
-      "Ġreluct antly",
-      "quer que",
-      "ĠCin ema",
-      "ĠPythag orean",
-      "Ġpessim istic",
-      "\" /",
-      "r if",
-      "è ¨",
-      "Ġc aching",
-      "Ġb oto",
-      "ĠT urns",
-      "Ġbe avers",
-      "ĠA AP",
-      "ĠE UR",
-      "ĠSc ales",
-      "ĠLe vin",
-      "Re peat",
-      "ĠEl iza",
-      "Ġstaff ing",
-      "Ind ones",
-      "Ed ited",
-      "Ġrh od",
-      "ĠCS F",
-      "Ġthumb nail",
-      "ĠConsult ant",
-      "ĠCool ing",
-      "ĠAdvance ments",
-      "Quant um",
-      "Ġkangar oo",
-      "Ġracc oons",
-      "ĠMoist ure",
-      "Ġpurpos ely",
-      "Ġresusc itation",
-      "Ġsubdu ed",
-      "J D",
-      "ion ine",
-      "se ated",
-      "ĠC af",
-      "ĠCh ances",
-      "Ġdef erred",
-      "hen ia",
-      "Ġpar anoia",
-      "St aff",
-      "\"] /",
-      "ĠEd ith",
-      "Ġconsequ ential",
-      "Ġhon ours",
-      "ĠMon teneg",
-      "Ġseed ed",
-      "ĠNor ris",
-      "ĠCON N",
-      "Ġfled gling",
-      "åĬ ł",
-      "ĠInstance Preprocess",
-      "Ġe osin",
-      "ĠA be",
-      "ĠS ass",
-      "ĠM UST",
-      "ĠP ocket",
-      "ĠH ockey",
-      "ĠE MS",
-      "te ins",
-      "ĠV oc",
-      "ĠY ours",
-      "Ġco als",
-      "Ġref inery",
-      "Ġdec ad",
-      "Ġge os",
-      "Ġhost age",
-      "Ġmis chief",
-      "Ġcop ious",
-      "Ġcogn iz",
-      "hard ware",
-      "ĠBuild er",
-      "ĠLes bian",
-      "fetch all",
-      "Cond itions",
-      "rece iver",
-      "Ġrhiz omes",
-      "p ause",
-      "Ġt rol",
-      "ĠC rim",
-      "ĠM ai",
-      "qu at",
-      "ud i",
-      "ĠD yn",
-      "ĠR ao",
-      "ĠL osing",
-      "ru v",
-      "ĠFor rest",
-      "mar riage",
-      "comp ared",
-      "ĠChe f",
-      "dat aloader",
-      "Ġreform ing",
-      "function ing",
-      "sim pl",
-      "ĠBrad y",
-      "Ġissu ance",
-      "P open",
-      "Ġw akes",
-      "Ġp mid",
-      "ic os",
-      "ĠS word",
-      "th ro",
-      "ĠP urch",
-      "ĠN MR",
-      "Ġall uded",
-      "ĠCh opin",
-      "Ġmon et",
-      "ĠJu ice",
-      "wing ed",
-      "ĠExt ensive",
-      "ĠSuper man",
-      "Old er",
-      "Middle ware",
-      "ĠJF K",
-      "B ring",
-      "b ought",
-      "Ġf ined",
-      "ĠC CT",
-      "ĠR W",
-      "ĠR oe",
-      "ile t",
-      "av it",
-      "int rinsic",
-      "Ġ' ))",
-      "Ġcur ling",
-      "Ġdeep copy",
-      "Ġfall opian",
-      "ST OP",
-      "Ġtri pled",
-      "Ġ\\ *",
-      "ĠPat agon",
-      "ĠUlt rasound",
-      "ĠEp isode",
-      "Ġneutral izing",
-      "BL ANK",
-      "Ġbon uses",
-      "Ġoint ment",
-      "Ġrefin eries",
-      "W et",
-      "m r",
-      "Ä Ļ",
-      "Ġ í",
-      "ĠS urg",
-      "um ar",
-      "ĠW uhan",
-      "Ġsy nov",
-      "ph ants",
-      "ĠDe e",
-      "Ġperiod ical",
-      "ee le",
-      "ibr ill",
-      "ĠMal d",
-      "Ġfly ers",
-      "lass ical",
-      "ĠDomin ion",
-      "Ġaffection ate",
-      "Ġling ered",
-      "Interest ing",
-      "ĠEvangel ical",
-      "Ġaust ral",
-      "Ġantid ote",
-      "\" %",
-      "\" />",
-      "ĠT LS",
-      "ĠS ear",
-      "ĠW ak",
-      "Ġch ond",
-      "Ġup risings",
-      "Ġunder lies",
-      "Ġcons ort",
-      "Ġsm ashed",
-      "aw ait",
-      "ĠRe pt",
-      "Ġbo asting",
-      "ĠBrit ons",
-      "ĠMon et",
-      "Ġapprox im",
-      "Ġmotor ized",
-      "ĠAtt achment",
-      "Ġbath tub",
-      "ĠVe gan",
-      "iy ah",
-      "ĠPrior ity",
-      "ĠPale o",
-      "ĠLad ies",
-      "á¹ĩ a",
-      "ĠWend y",
-      "Ġperfor ated",
-      "ĠSerge ant",
-      "Ġeard rum",
-      "g irl",
-      "l id",
-      "m elt",
-      "Ġp ts",
-      "Ġp ont",
-      "ar h",
-      "ĠM k",
-      "ĠM ommy",
-      "ĠB low",
-      "Ġr aspberries",
-      "ĠF ighter",
-      "ĠL NG",
-      "Ġdis heart",
-      "Ġbet s",
-      "hes i",
-      "aw ak",
-      "angu ard",
-      "ĠTra umatic",
-      "Ġang ina",
-      "ĠDis par",
-      "Ġwall ed",
-      "LA G",
-      "Ġconsumer ism",
-      "ĠPo et",
-      "Ġtowns hips",
-      "Ġgro ves",
-      "ĠIndex Error",
-      "po inter",
-      "ĠKab bal",
-      "Bal ance",
-      "Ġmagist rate",
-      "s ock",
-      "Ġb onsai",
-      "ĠW orse",
-      "ĠD up",
-      "ĠR het",
-      "ĠL ok",
-      "ne ut",
-      "Ġfood stuffs",
-      "Ġve x",
-      "Ġopt omet",
-      "esc ue",
-      "Ġwond rous",
-      "ĠPres cription",
-      "Ġax ons",
-      "Ġvalid ators",
-      "Ġcounter clockwise",
-      "OT H",
-      "ĠST AR",
-      "Ġtorch vision",
-      "Ġforg iving",
-      "Ġvan ity",
-      "relations hips",
-      "ĠTraffic king",
-      "in clusive",
-      "in flation",
-      "ol ingu",
-      "ĠE hr",
-      "Ġdis integration",
-      "ĠU panish",
-      "ong ing",
-      "ne arest",
-      "Ġtrans pose",
-      "Ġgra bs",
-      "ash ions",
-      "St em",
-      "Ġnet ting",
-      "aim on",
-      "ĠAb ram",
-      "Ġempt ied",
-      "NS F",
-      "ĠMaster y",
-      "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ",
-      "ĠEmb ry",
-      "ĠAff irm",
-      "ĠSem i",
-      "Ġprox ies",
-      "Ġadul ter",
-      "ĠMembers hip",
-      "ĠJos iah",
-      "Ġexpans ions",
-      "Ġspraw l",
-      "M apper",
-      "re ve",
-      "Ġb ids",
-      "Ġre cl",
-      "ĠS DS",
-      "ĠL ia",
-      "Ġfol ly",
-      "und ance",
-      "tain able",
-      "(\" ./",
-      "ĊĠĠĠĠ ĊĠĠĠĠ",
-      "ĠUN HCR",
-      "pers ons",
-      "fold ed",
-      "Ġtransf usions",
-      "sn ake",
-      "Ġasym metrical",
-      "Doc uments",
-      "è¿ Ļ",
-      "ĠClay ton",
-      "Ġprogen itor",
-      "J osh",
-      "s old",
-      "Ġt inct",
-      "Ġas part",
-      "Ġv ets",
-      "Ġsu do",
-      "ĠV OC",
-      "Ġconn otation",
-      "new axis",
-      "play list",
-      "Ġund eveloped",
-      "Ġrepe aled",
-      "Ġconserv atism",
-      "Ġham per",
-      "Ġdecom posed",
-      "Ġpredis posed",
-      "Ġcrus ade",
-      "Ġtect onics",
-      "ĠWitness es",
-      "Ġbarbec ue",
-      "F ear",
-      "Z en",
-      "} ),",
-      "ĠC ig",
-      "Ġun ob",
-      "ile psy",
-      "Ġtw inkling",
-      "ym l",
-      "Ġemphas ise",
-      "trans istors",
-      "Ġsecret ive",
-      "Ġposter ity",
-      "Ġpist ol",
-      "Ġpatrol s",
-      "Ġsupers eded",
-      "Ġspo iled",
-      "ĠMau i",
-      "ĠCliff ord",
-      "M ul",
-      "M AS",
-      "m useum",
-      "s oup",
-      "t all",
-      "Ġ à¨",
-      "er ick",
-      "Ġn ih",
-      "Ġcan v",
-      "ĠR az",
-      "ĠO SA",
-      "Ġrem un",
-      "---------------- ------",
-      "Ġagree able",
-      "prim arily",
-      "ĠÅ ļ",
-      "-------------------------------------------- -",
-      "ĠGarc ÃŃa",
-      "Q ual",
-      "h urt",
-      "k illing",
-      "u ag",
-      "ĠN ino",
-      "ĠJ unction",
-      "ĠSt am",
-      "ĠV O",
-      "Ġac up",
-      "Ġbro om",
-      "Ġspring time",
-      "Ġparallel ism",
-      "cf m",
-      "cut off",
-      "ĠSD G",
-      "ĠiP od",
-      "Ġausp icious",
-      "TEM PL",
-      "Ġfatig ued",
-      "ĠAmend ments",
-      "W iki",
-      "c ms",
-      "Ġbe gg",
-      "ĠA ene",
-      "oc ort",
-      "Ġab using",
-      "Ġun ites",
-      "Ġimport ation",
-      "ĠAn al",
-      "') ;",
-      "Ġmid day",
-      "Ġlib erate",
-      "Ġpractical ity",
-      "Ġtur ret",
-      "ĠGal veston",
-      "ĠProm ise",
-      "Organ ization",
-      "Ġbarn s",
-      "ĠClare nce",
-      "Ġquar rel",
-      "intern et",
-      "éĩ ı",
-      "Ġpleas urable",
-      "= \",",
-      "i u",
-      "k ick",
-      "å ¥",
-      "iv ir",
-      "ĠB ologna",
-      "ĠH ors",
-      "ĠE rd",
-      "ĠJ orge",
-      "ph thal",
-      "Ġrec itation",
-      "ĠUn locking",
-      "Ġatt ends",
-      "Ġrep ressive",
-      "Ġtake over",
-      "Ġselect or",
-      "Ġfru ition",
-      "Ġappropri ateness",
-      "Ġtherm odynamic",
-      "Ġgirl friend",
-      "Ġartic ulating",
-      "ĠKind le",
-      "Ġventric les",
-      "Ġdecis ively",
-      "/ __",
-      "Ġp ounding",
-      "an um",
-      "Ġst arl",
-      "ĠM b",
-      "Ġim itating",
-      "Ġsp i",
-      "ĠV ascular",
-      "Ġmod ulated",
-      "Ġexp ended",
-      "Ġsun screens",
-      "ĠMan or",
-      "ĠSw imming",
-      "RO S",
-      "Ġunivers ality",
-      "Ġmamm ary",
-      "Am ount",
-      "CON N",
-      "Ġupload ing",
-      "ĠEld ers",
-      "Mind fulness",
-      "Ġantis em",
-      "Ġextingu ished",
-      "Ġzomb ie",
-      "k its",
-      "Î ®",
-      "ri pe",
-      "ĠU DP",
-      "ĠCom plications",
-      "Ġpar athyroid",
-      "Ġpost age",
-      "For ward",
-      "Ġmis placed",
-      "ĠST ART",
-      "ĠDem ographic",
-      "uh r",
-      "Ġzo oplankton",
-      "Ġµ g",
-      "cig arette",
-      "Ġcytok ine",
-      "Ġquir ks",
-      "ĠHyder abad",
-      "B one",
-      "L ed",
-      "L IB",
-      "b rief",
-      "å ij",
-      "en arios",
-      "Ġg uts",
-      "ĠA edes",
-      "ĠS ands",
-      "Pro s",
-      "ĠOrgan izing",
-      "Ġcompound ing",
-      "ĠMah ayana",
-      "bu querque",
-      "Ġmi RNAs",
-      "ĠPharm acy",
-      "canc erous",
-      "Ġdishwas her",
-      "Ġautonom ously",
-      "G PT",
-      "ul c",
-      "ĠW ORK",
-      "Ġdef lect",
-      "ĠPr as",
-      "Ġfacilit ators",
-      "ENT IAL",
-      "orph ic",
-      "Ġdebt or",
-      "Ġdys ph",
-      "ĠPain e",
-      "Check Box",
-      "Ġrh initis",
-      "Ġrust ic",
-      "Ġresidual s",
-      "Ġdetain ees",
-      "oflav in",
-      "p itched",
-      "Ġa h",
-      "ĠP ing",
-      "ans i",
-      "Ġte asing",
-      "ĠSt rain",
-      "Ġmod ifiers",
-      "Ġret raction",
-      "start s",
-      "Ġeffort less",
-      "Ġtrou sers",
-      "Ġban ished",
-      "Inst itute",
-      "Pre vent",
-      "ĠLoad ing",
-      "æĸĩ 件",
-      "terror ism",
-      "s essions",
-      "æ ĭ",
-      "ĠE rin",
-      "Ġte x",
-      "py lob",
-      "St ra",
-      "IN DEX",
-      "ĠCont inent",
-      "ait a",
-      "loc ale",
-      "Int f",
-      "(( (",
-      "Ġbio energy",
-      "stack overflow",
-      "elect ronic",
-      "Ġapt ly",
-      "ĠEt rus",
-      "Ġantagon ists",
-      "Ġastroph ysics",
-      "Isa iah",
-      "LG BT",
-      "F ruit",
-      "o auth",
-      "Ġs ages",
-      "ĠM erg",
-      "ĠB om",
-      "ĠH ISTORY",
-      "Ġch ants",
-      "ĠN arrow",
-      "ast ore",
-      "ĠâĢĵ âĢĵâĢĵ",
-      "ins ular",
-      "Ġec lectic",
-      "Ġcamp fire",
-      "ret rieve",
-      "ĠHig gins",
-      "Ġbrut ally",
-      "ĠSN Ps",
-      "ĠChamp ion",
-      "Ġeloqu ent",
-      "i eth",
-      "Ġy olks",
-      "Ġex ogenous",
-      "ĠL iability",
-      "Ġinf lection",
-      "ĠCon ver",
-      "ĠCon ventions",
-      "uss ing",
-      "Ġwrong doing",
-      "ĠPat rol",
-      "OT HER",
-      "ĠUN F",
-      "Ġreform er",
-      "ĠSil ence",
-      "ĠLy ons",
-      "Ġheal ers",
-      "ĠShow ing",
-      "ĠBegin ners",
-      "Ġly rical",
-      "ĠSkin ner",
-      "Sam uel",
-      "Ġlogarith mic",
-      "Ġpromul gated",
-      "ĠQué bec",
-      "B H",
-      "Y outh",
-      "Ġh acks",
-      "ĠC umm",
-      "Ġch ia",
-      "Ġse rendip",
-      "Ġar mp",
-      "Ġout age",
-      "Ġsk incare",
-      "ĠAnd ersen",
-      "ĠAm nesty",
-      "Cl ark",
-      "Ġannual s",
-      "Ġdeliver ance",
-      "ĠSte iner",
-      "ĠWil kins",
-      "Ġcrow ding",
-      "ĠRom ances",
-      "Ġchron icle",
-      "ĠSynt ax",
-      "Ġvas cul",
-      "æī Ģ",
-      "Face book",
-      "Ġspoil age",
-      "ĠGrad ient",
-      "ĠFut ures",
-      "Ġergon omic",
-      "ir ium",
-      "ĠB old",
-      "Ġind igo",
-      "Ġra ke",
-      "Ġover h",
-      "ll is",
-      "Ġno zzles",
-      "ĠCl ouds",
-      "Ġec ologists",
-      "ĠPol ly",
-      "-------------------------------- --------",
-      "Ġflex ion",
-      "Ġfr aternity",
-      "Ġchecks um",
-      "ĠCharacter ization",
-      "ĠÅ ł",
-      "Ġorphan ed",
-      "Ġtheat res",
-      "Recomm end",
-      "Ġgalvan ized",
-      "Ġdissoci ation",
-      "Ġhydroly sis",
-      "||= ||",
-      "> )",
-      "M ach",
-      "Ġp ter",
-      "ĠT aft",
-      "ĠW iring",
-      "ĠE nder",
-      "ĠN ON",
-      "Ġun broken",
-      "ĠK olk",
-      "Ġdep ressions",
-      "Ġdid actic",
-      "'] =",
-      "Ġpurpose fully",
-      "Ġwet ter",
-      "ĠBre ton",
-      "ĠSH ALL",
-      "Ġhex agonal",
-      "Ġlam bs",
-      "sampl er",
-      "Ġmatt resses",
-      "Ġcockro ach",
-      "ĠHers chel",
-      "Ġsphinct er",
-      "b ara",
-      "× ł",
-      "ou le",
-      "ĠT Type",
-      "ch rist",
-      "ĠB ead",
-      "ĠW ien",
-      "ĠL unch",
-      "ost rum",
-      "ract s",
-      "Ġchild bearing",
-      "Ġrep osition",
-      "Ġmon ounsaturated",
-      "Ġmon oclonal",
-      "Ġeng ender",
-      "sh ifting",
-      "ĠYork er",
-      "ĠTra cing",
-      "comp iler",
-      "ĠPort able",
-      "bur ne",
-      "ĠBu ying",
-      "Ġå Ī",
-      "Sur v",
-      "ĠLanc ashire",
-      "opa edic",
-      "ĠCrus ade",
-      "hon ored",
-      "R oss",
-      "d printing",
-      "f irm",
-      "ar ak",
-      "ĠS HA",
-      "ĠH ild",
-      "ĠW I",
-      "ĠR d",
-      "og gy",
-      "ĠN OR",
-      "ĠJ ing",
-      "ens in",
-      "Ġpre existing",
-      "Ġinv oice",
-      "EN CES",
-      "Ġcounter productive",
-      "Ġpick les",
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diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/t2i_tokenizer.json b/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/t2i_tokenizer.json
deleted file mode 100644
index 23df0f53e5..0000000000
--- a/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/t2i_tokenizer.json
+++ /dev/null
@@ -1,49540 +0,0 @@
-{
-  "version": "1.0",
-  "truncation": {
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-    "strategy": "LongestFirst",
-    "stride": 0
-  },
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-    "direction": "Right",
-    "pad_to_multiple_of": 77,
-    "pad_id": 49407,
-    "pad_type_id": 0,
-    "pad_token": "<|endoftext|>"
-  },
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-      "id": 49406,
-      "special": true,
-      "content": "<|startoftext|>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": true
-    },
-    {
-      "id": 49407,
-      "special": true,
-      "content": "<|endoftext|>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": true
-    }
-  ],
-  "normalizer": {
-    "type": "BertNormalizer",
-    "clean_text": true,
-    "handle_chinese_chars": true,
-    "strip_accents": null,
-    "lowercase": true
-  },
-  "pre_tokenizer": {
-    "type": "BertPreTokenizer"
-  },
-  "post_processor": {
-    "type": "TemplateProcessing",
-    "single": [
-      {
-        "SpecialToken": {
-          "id": "<|startoftext|>",
-          "type_id": 0
-        }
-      },
-      {
-        "Sequence": {
-          "id": "A",
-          "type_id": 0
-        }
-      },
-      {
-        "SpecialToken": {
-          "id": "<|endoftext|>",
-          "type_id": 0
-        }
-      }
-    ],
-    "pair": [
-      {
-        "SpecialToken": {
-          "id": "<|startoftext|>",
-          "type_id": 0
-        }
-      },
-      {
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-          "type_id": 0
-        }
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-      {
-        "SpecialToken": {
-          "id": "<|endoftext|>",
-          "type_id": 0
-        }
-      },
-      {
-        "Sequence": {
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-          "type_id": 1
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-      {
-        "SpecialToken": {
-          "id": "<|endoftext|>",
-          "type_id": 1
-        }
-      }
-    ],
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-        "id": "<|startoftext|>",
-        "ids": [49406],
-        "tokens": ["<|startoftext|>"]
-      },
-      "eos_token": {
-        "id": "<|endoftext|>",
-        "ids": [49407],
-        "tokens": ["<|endoftext|>"]
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-        "id": "<|endoftext|>",
-        "ids": [49407],
-        "tokens": ["<|endoftext|>"]
-      }
-    }
-  },
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-    "prefix": "",
-    "add_prefix_space": false,
-    "cleanup": true
-  },
-  "model": {
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-    "unk_token": "unk_token",
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-    "max_input_chars_per_word": 100,
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diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/tokenizer.json b/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/tokenizer.json
deleted file mode 100644
index 3731422406..0000000000
--- a/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/tokenizer.json
+++ /dev/null
@@ -1,30675 +0,0 @@
-{
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diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/whisper_tokenizer.json b/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/whisper_tokenizer.json
deleted file mode 100644
index ee4d3cb73a..0000000000
--- a/packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/whisper_tokenizer.json
+++ /dev/null
@@ -1,114840 +0,0 @@
-{
-  "version": "1.0",
-  "truncation": null,
-  "padding": null,
-  "added_tokens": [
-    {
-      "id": 50256,
-      "content": "<|endoftext|>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 50257,
-      "content": "<|startoftranscript|>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 50258,
-      "content": "<|en|>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 50259,
-      "content": "<|zh|>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 50260,
-      "content": "<|de|>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
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-    {
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-      "content": "<|es|>",
-      "single_word": false,
-      "lstrip": false,
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-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 50262,
-      "content": "<|ru|>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 50263,
-      "content": "<|ko|>",
-      "single_word": false,
-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 50264,
-      "content": "<|fr|>",
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-      "lstrip": false,
-      "rstrip": false,
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-      "special": true
-    },
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-      "id": 50265,
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-      "special": true
-    },
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-      "id": 50266,
-      "content": "<|pt|>",
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-      "lstrip": false,
-      "rstrip": false,
-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 50267,
-      "content": "<|tr|>",
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-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 50268,
-      "content": "<|pl|>",
-      "single_word": false,
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-      "normalized": false,
-      "special": true
-    },
-    {
-      "id": 50269,
-      "content": "<|ca|>",
-      "single_word": false,
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-      "normalized": false,
-      "special": true
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-    {
-      "id": 50270,
-      "content": "<|nl|>",
-      "single_word": false,
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-      "normalized": false,
-      "special": true
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-    {
-      "id": 50271,
-      "content": "<|ar|>",
-      "single_word": false,
-      "lstrip": false,
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-      "special": true
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-    {
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-      "special": true
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-      "Ġgarment": 30594,
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-      "Ġludicrous": 35214,
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-      "ĠUNDER": 35219,
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-      "$.": 35307,
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-      "Ġ8 7",
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-      "4 69",
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-      "im ilation",
-      "Ġret ard",
-      "Ġfrag mentation",
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-      "ĠY PG",
-      "ĠH AL",
-      "Parent s",
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-      "4 37",
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-      "ĠM uss",
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-      "EG IN",
-      "Ġ% %",
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-      "k illing",
-      "ĠW EEK",
-      "ĠH anna",
-      "D ust",
-      "Com pleted",
-      "ģ «",
-      "Ġappro ves",
-      "ĠSur f",
-      "ĠLuther an",
-      "ven ants",
-      "Ġrobber ies",
-      "we ights",
-      "soft ware",
-      "at ana",
-      "ug al",
-      "Ġgrav y",
-      "ĠC ance",
-      "OLOG Y",
-      "ly ak",
-      "Ton ight",
-      "Ġunve il",
-      "Ġ19 04",
-      "ĠMin ion",
-      "ent ious",
-      "st ice",
-      "pack ages",
-      "ĠG EAR",
-      "Ġg ol",
-      "ĠHutch inson",
-      "ĠProf ession",
-      "ĠG UN",
-      "ĠDiff erence",
-      "ĠTsuk uyomi",
-      "ĠLes bian",
-      "6 70",
-      "Ġfug itive",
-      "ĠPlan etary",
-      "-------------------------------- ------------------------",
-      "Ġacc rued",
-      "Ġch icks",
-      "Ġsto pp",
-      "Ġblock ers",
-      "C od",
-      "Ġcomment ers",
-      "ĠSomew here",
-      "ĠPhot ographer",
-      "the me",
-      "Ġmay oral",
-      "w u",
-      "Ġanten nas",
-      "Ġrev amped",
-      "ĠSubject s",
-      "it é",
-      "im ura",
-      "Ġentr ances",
-      "liter ally",
-      "Ġten ets",
-      "ĠO MG",
-      "ĠMP H",
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-      "ĠOff ense",
-      "Ġ\" +",
-      "Sn ap",
-      "ĠAF B",
-      "Ġan imate",
-      "ĠS od",
-      "His panic",
-      "Ġinconsist ency",
-      "D b",
-      "F Y",
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-      "Ġa pe",
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-      "ib el",
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-      "Ġ{ \\",
-      "Ġact u",
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-      "camp us",
-      "Ġpay off",
-      "Ġde ities",
-      "ĠN ato",
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-      "ĠCl ojure",
-      "Ġconf ounding",
-      "en i",
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-      "op he",
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-      "Ġsign ifies",
-      "Ġprop el",
-      "Ġfest ive",
-      "S uggest",
-      "Ġpled ging",
-      "ĠB erman",
-      "Ġrebell ious",
-      "Ġovershadow ed",
-      "Ġinfiltr ated",
-      "j obs",
-      "67 2",
-      "Ġscal able",
-      "Ġdomin ion",
-      "ĠNew foundland",
-      "ĠMead ow",
-      "Ġpart itions",
-      "AM I",
-      "Ġsupplement ary",
-      "str ument",
-      "Ġhair y",
-      "Ġperpet uate",
-      "Ġnuts hell",
-      "ĠPot ato",
-      "ĠHob bit",
-      "Ġcur ses",
-      "Flo at",
-      "Ġquiet er",
-      "Ġfuel ing",
-      "Ġcaps ules",
-      "ĠL ust",
-      "ĠH aunted",
-      "Exec utive",
-      "Ġchild birth",
-      "G re",
-      "Ġrad iant",
-      "å İ",
-      "Ġm alls",
-      "Ġin ept",
-      "ĠWarrant y",
-      "Ġspect ator",
-      "E h",
-      "t hens",
-      "Ġculmin ating",
-      "æ ©",
-      "ary a",
-      "ãĤ ®",
-      "ilit arian",
-      "ĠOR IG",
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-      "ĠS iren",
-      "ĠRec ording",
-      "ay ne",
-      "Ġv im",
-      "Ġspr ang",
-      "T ang",
-      "ĠM FT",
-      "mor ning",
-      "ĠWe ed",
-      "m peg",
-      "cess ion",
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-      "7 30",
-      "w arning",
-      "56 2",
-      "handed ly",
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-      ": #",
-      "Ġp ian",
-      "Ġfec es",
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-      "Ġban ished",
-      "Ġ3 99",
-      "ĠAR C",
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-      "J ake",
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-      "way ne",
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-      "os henko",
-      "Ġnotebook s",
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-      "ixt ape",
-      "Ġwithdraw als",
-      "Ġh orde",
-      "ĠD habi",
-      "is able",
-      "ĠK D",
-      "Ġcontag ious",
-      "ĠD ip",
-      "ĠAr rows",
-      "Ġpronoun s",
-      "Ġmorph ine",
-      "ĠB US",
-      "68 2",
-      "Ġk osher",
-      "fin ished",
-      "ĠInstr uments",
-      "Ġf used",
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-      "F ab",
-      "aff ected",
-      "K EN",
-      "C ENT",
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-      "ĠInvestig ative",
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-      "Ġrep ro",
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-      "ĠBers erker",
-      "Ġdram as",
-      "Ġclich é",
-      "Ġb ung",
-      "ĠU RI",
-      "ĠD os",
-      "0 44",
-      "Ġpast ors",
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-      "Ġac rylic",
-      "aun ts",
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-      "Ġmajor ities",
-      "B ang",
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-      "ĠRome o",
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-      "Inst ruct",
-      "Ġimp ractical",
-      "ĠPlay boy",
-      "ce phal",
-      "Ġsw aps",
-      "Ġk an",
-      "ĠThe o",
-      "Ġillust rating",
-      "Ġdismant led",
-      "ĠTrans gender",
-      "ĠG uth",
-      "UG H",
-      "Ġtriumph ant",
-      "Ġencomp ass",
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-      "Ġpred icate",
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-      "ĠAB E",
-      "Ġnon profits",
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-      "Ġp end",
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-      "ĠTele com",
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-      "dep ending",
-      "ĠLow ry",
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-      "ĠBl ooming",
-      "ust ration",
-      "ene gger",
-      "B rew",
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-      "âĸ Ģ",
-      "ave ment",
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-      "Ġ3 48",
-      "5 18",
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-      "Elect ric",
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-      "Ġsemin ars",
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-      "58 9",
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-      "Ġlimit less",
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-      "q v",
-      "IN ESS",
-      "on ew",
-      "Ġco hesion",
-      "98 7",
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-      "Ġfootball er",
-      "ĠG ER",
-      "Ġdetect able",
-      "ĠSupport ing",
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-      "ĠB enny",
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-      "19 59",
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-      "9 30",
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-      "04 6",
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-      "7 99",
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-      "und y",
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-      "T rend",
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-      "es cent",
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-      "Ġfun k",
-      "ush a",
-      "rict ion",
-      "ore a",
-      "ĠBang alore",
-      "ĠKen obi",
-      "zz i",
-      "Ġnorm ative",
-      "Ġgobl ins",
-      "Ġcaf es",
-      "ĠUN CLASSIFIED",
-      "ĠF ired",
-      "S IGN",
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-      "ĠExt end",
-      "ĠEV s",
-      "Ar senal",
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-      "58 3",
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-      "Ġ18 98",
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-      "Ġf ul",
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-      "some one",
-      "= #",
-      "67 1",
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-      "cor ruption",
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-      "cell s",
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-      "ch am",
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-      "ĠSch r",
-      "ĠMel anie",
-      "ĠH oy",
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-      "Ġfore skin",
-      "ob os",
-      "Ġpo aching",
-      "ĠVI EW",
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-      "ĠG ork",
-      "can on",
-      "M IC",
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-      "ĠInd ra",
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-      "Ġ5 29",
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-      "ĠSl ip",
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-      "cern ed",
-      "P ause",
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-      "il age",
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-      "ĠM acy",
-      "04 1",
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-      "ĠR ik",
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-      "Ġrod ent",
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-      "Ġdon key",
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-      "ĠFor th",
-      "ĠRecord ed",
-      "Ġimp ossibility",
-      "ĠLog ged",
-      "ĠFr anks",
-      "ĠR att",
-      "in itions",
-      "Ġclean ers",
-      "Ġsore ly",
-      "Ġflick ering",
-      "ĠEx amination",
-      "c atching",
-      "allow een",
-      "Ms g",
-      "Ġdun no",
-      "F a",
-      "Ġdys ph",
-      "c razy",
-      ".' '.",
-      "Ġmain line",
-      "Ġc s",
-      "Ġp tr",
-      "ĠW ally",
-      "ig un",
-      "95 1",
-      "ĠBig foot",
-      "f ights",
-      "Ġretrie ving",
-      "J r",
-      "Ġdupl ication",
-      "ĠExpl an",
-      "Ġrel ational",
-      "Ġqu aint",
-      "Ġbisc uits",
-      "Ġad o",
-      "Ġsh udder",
-      "Ġantid ote",
-      "blood ed",
-      "ks h",
-      "Ġsa uces",
-      "Ġrein vest",
-      "Ġdispens ary",
-      "ĠD iver",
-      "Ġ9 000",
-      "stud ent",
-      "Ġin separ",
-      "esc ap",
-      "Ġtodd lers",
-      "ĠGP IO",
-      "ĠAss ignment",
-      "head ers",
-      "Ġlack luster",
-      "Ġab ack",
-      "95 6",
-      "Ġtool bar",
-      "7 45",
-      "Ġo ust",
-      "Ġcontempl ation",
-      "ĠPRES IDENT",
-      "Ġ4 58",
-      "==== ==",
-      "Ġguarantee ing",
-      "ĠHe ist",
-      "ĠCann es",
-      "Ļ ½",
-      "Ġcollabor ator",
-      "ĠAm p",
-      "Ġg ou",
-      "ĠSH ALL",
-      "st ories",
-      "78 3",
-      "Ġmobil ized",
-      "Ġbro od",
-      "ĠL U",
-      "ĠðŁ ij",
-      "Ġref in",
-      "ĠAnthrop ology",
-      "v ind",
-      "ill i",
-      "Ġwarrant ies",
-      "ĠB abel",
-      "Ġsw ath",
-      "Ġc aches",
-      "Ġantagon ists",
-      "art ifacts",
-      "Ġhot ly",
-      "ĠSt arts",
-      "ĠG ö",
-      "z ag",
-      "!! !!!",
-      "Ġsc ourge",
-      "Ġcons piring",
-      "ru its",
-      "re verse",
-      "ĠShe en",
-      "ĠJes uit",
-      "ĠGiov anni",
-      "ad ies",
-      "Ġbutt ocks",
-      "ear cher",
-      "ac an",
-      "Ġvolley ball",
-      "Ġshroud ed",
-      "Ġscore board",
-      "b ats",
-      "ĠI PM",
-      "Ġass es",
-      "Ġde regulation",
-      "ĠTe legram",
-      "ĠReb oot",
-      "Ġ7 000",
-      "ĠCan ary",
-      "Ġk ernels",
-      "ĠFranç ois",
-      "ĠD uff",
-      "ĠP on",
-      "ĠLe ica",
-      "ĠGar min",
-      "Ġor phans",
-      "ĠClaud ia",
-      "Ġcal endars",
-      "ĠLe ilan",
-      "ent o",
-      "R ocket",
-      "Ġbr unch",
-      "ĠHaw king",
-      "ain ers",
-      "Ġsens ibilities",
-      "Ġk W",
-      "ĠK and",
-      "Ġre claimed",
-      "Ġinteresting ly",
-      "× ©",
-      "rom y",
-      "J M",
-      "ĠEnhance ment",
-      "b ush",
-      "Sk ip",
-      "Ġrapp ers",
-      "Ġg azing",
-      "p edia",
-      "ath lon",
-      "Rev olution",
-      "Ġsn ipers",
-      "Ġre verted",
-      "Ġconglomer ate",
-      "T erry",
-      "79 4",
-      "Ġhars her",
-      "Ġdes olate",
-      "ĠHit man",
-      "Comm ission",
-      "Ġ( /",
-      "âĢ¦ .\"",
-      "Com par",
-      "Ġampl ification",
-      "om inated",
-      "Ġreg ress",
-      "ĠColl ider",
-      "Ġinform ants",
-      "Ġg azed"
-    ]
-  }
-}
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/log.txt b/packages/react-native-executorch/common/rnexecutorch/tests/log.txt
deleted file mode 100644
index 281adbf686..0000000000
--- a/packages/react-native-executorch/common/rnexecutorch/tests/log.txt
+++ /dev/null
@@ -1 +0,0 @@
-Error: libc++_shared.so not found at: /toolchains/llvm/prebuilt/darwin-x86_64/sysroot/usr/lib/aarch64-linux-android/libc++_shared.so

From 090de10aaab1182a399b88a394c0cee849ea9ae9 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 9 Mar 2026 09:35:13 +0100
Subject: [PATCH 11/56] Remove type field from postprocessor config

---
 .../app/instance_segmentation/index.tsx       |   3 +-
 .../BaseInstanceSegmentation.cpp              | 385 ++++--------------
 .../BaseInstanceSegmentation.h                |   5 +-
 packages/react-native-executorch/src/index.ts |   1 -
 .../InstanceSegmentationModule.ts             |  12 +-
 .../src/types/instanceSegmentation.ts         |  19 +-
 6 files changed, 103 insertions(+), 322 deletions(-)

diff --git a/apps/computer-vision/app/instance_segmentation/index.tsx b/apps/computer-vision/app/instance_segmentation/index.tsx
index 4e3d12d646..5b407226f6 100644
--- a/apps/computer-vision/app/instance_segmentation/index.tsx
+++ b/apps/computer-vision/app/instance_segmentation/index.tsx
@@ -76,7 +76,6 @@ const AVAILABLE_INPUT_SIZES = [384, 416, 512, 640, 1024];
  *     availableInputSizes: [640],
  *     defaultInputSize: 640,
  *     postprocessorConfig: {
- *       type: 'yolo',
  *       defaultConfidenceThreshold: 0.5,
  *       defaultIouThreshold: 0.45,
  *       applyNMS: true,
@@ -95,7 +94,7 @@ export default function InstanceSegmentationScreen() {
 
   const { isReady, isGenerating, downloadProgress, forward, error } =
     useInstanceSegmentation({
-      model: YOLO26N_SEG,
+      model: YOLO26X_SEG,
     });
 
   const [imageUri, setImageUri] = useState('');
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index 97029b9e9e..a7bc13a385 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -1,7 +1,6 @@
 #include "BaseInstanceSegmentation.h"
 
 #include <cmath>
-#include <iostream>
 #include <rnexecutorch/Error.h>
 #include <rnexecutorch/ErrorCodes.h>
 #include <rnexecutorch/data_processing/ImageProcessing.h>
@@ -9,18 +8,10 @@
 namespace rnexecutorch::models::instance_segmentation {
 
 BaseInstanceSegmentation::BaseInstanceSegmentation(
-    const std::string &modelSource, const std::string &postprocessorType,
-    std::vector<float> normMean, std::vector<float> normStd, bool applyNMS,
+    const std::string &modelSource, std::vector<float> normMean,
+    std::vector<float> normStd, bool applyNMS,
     std::shared_ptr<react::CallInvoker> callInvoker)
-    : BaseModel(modelSource, callInvoker),
-      postprocessorType_(postprocessorType), applyNMS_(applyNMS) {
-  if (postprocessorType_ != "yolo" && postprocessorType_ != "rfdetr") {
-    throw RnExecutorchError(
-        RnExecutorchErrorCode::InvalidConfig,
-        "Postprocessor type must be 'yolo' or 'rfdetr'. Got: " +
-            postprocessorType_);
-  }
-
+    : BaseModel(modelSource, callInvoker), applyNMS_(applyNMS) {
   avalivableMethods_ = *module_->method_names();
   if (normMean.size() == 3) {
     normMean_ = cv::Scalar(normMean[0], normMean[1], normMean[2]);
@@ -103,11 +94,6 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
                             "and less than or equal to 1.");
   }
 
-  if (postprocessorType_ == "rfdetr") {
-    throw RnExecutorchError(RnExecutorchErrorCode::InvalidConfig,
-                            "RF-DETR not implemented in this POC build.");
-  }
-
   float widthRatio =
       static_cast<float>(originalSize.width) / modelInputSize.width;
   float heightRatio =
@@ -121,297 +107,90 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
   std::vector<types::InstanceMask> instances;
 
   size_t numTensors = tensors.size();
-  if (numTensors < 2) {
-    throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs,
-                            "Expected at least 2 output tensors, got " +
-                                std::to_string(numTensors));
-  }
-
-  auto firstTensor = tensors[0].toTensor();
-  int featureDim = firstTensor.size(firstTensor.dim() - 1);
-
-  // ════════════════════════════════════════════════════════════
-  // FORMAT A — YOLO NATIVE: [1,N,38] + [1,32,H,W]
-  //   Detection tensor: [x1,y1,x2,y2, score, class, coeff×32]
-  //   C++ computes: coefficients @ prototypes → mask per detection
-  // ════════════════════════════════════════════════════════════
-  if (featureDim == 38 && numTensors == 2) {
-
-    auto detectionTensor = tensors[0].toTensor();
-    auto protoTensor = tensors[1].toTensor();
-
-    if (protoTensor.dim() != 4 || protoTensor.size(1) != 32) {
-      throw RnExecutorchError(
-          RnExecutorchErrorCode::UnexpectedNumInputs,
-          "Expected prototype mask tensor shape [1, 32, H, W]");
-    }
-
-    int maxDetections = detectionTensor.size(1);
-    int protoHeight = protoTensor.size(2);
-    int protoWidth = protoTensor.size(3);
-    const float *detData =
-        static_cast<const float *>(detectionTensor.const_data_ptr());
-    const float *protoData =
-        static_cast<const float *>(protoTensor.const_data_ptr());
-
-    for (int i = 0; i < maxDetections; ++i) {
-      const float *det = detData + (i * 38);
-
-      float x1 = det[0];
-      float y1 = det[1];
-      float x2 = det[2];
-      float y2 = det[3];
-      float score = det[4];
-      int label = static_cast<int>(det[5]);
-
-      if (score < confidenceThreshold)
-        continue;
-      if (!allowedClasses.empty() &&
-          allowedClasses.find(label) == allowedClasses.end())
-        continue;
-
-      // mask = coefficients @ prototypes
-      std::vector<float> instanceMask(protoHeight * protoWidth, 0.0f);
-      for (int m = 0; m < 32; m++) {
-        float coef = det[6 + m];
-        const float *proto = protoData + (m * protoHeight * protoWidth);
-        for (int p = 0; p < protoHeight * protoWidth; p++) {
-          instanceMask[p] += coef * proto[p];
-        }
-      }
-
-      std::vector<uint8_t> binaryMask(protoHeight * protoWidth);
-      for (int j = 0; j < protoHeight * protoWidth; j++) {
-        float v = 1.0f / (1.0f + std::exp(-instanceMask[j]));
-        binaryMask[j] = (v > 0.5f) ? 1 : 0;
-      }
-
-      x1 *= widthRatio;
-      y1 *= heightRatio;
-      x2 *= widthRatio;
-      y2 *= heightRatio;
-
-      int finalMaskWidth = protoWidth;
-      int finalMaskHeight = protoHeight;
-      std::vector<uint8_t> finalMask = binaryMask;
-
-      if (returnMaskAtOriginalResolution) {
-        cv::Mat maskMat(protoHeight, protoWidth, CV_8UC1, binaryMask.data());
-        cv::Mat resizedMaskMat;
-        cv::resize(maskMat, resizedMaskMat, originalSize, 0, 0,
-                   cv::INTER_NEAREST);
-        finalMaskWidth = originalSize.width;
-        finalMaskHeight = originalSize.height;
-        for (int y = 0; y < finalMaskHeight; y++)
-          for (int x = 0; x < finalMaskWidth; x++)
-            if (x < x1 || x > x2 || y < y1 || y > y2)
-              resizedMaskMat.data[y * finalMaskWidth + x] = 0;
-        finalMask.assign(resizedMaskMat.data,
-                         resizedMaskMat.data + resizedMaskMat.total());
-      }
+  // if (numTensors != 3) {
+  //   throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs,
+  //                           "Expected 3 output tensors ([1,N,4] + [1,N,2] + "
+  //                           "[1,N,H,W]), got " +
+  //                               std::to_string(numTensors));
+  // }
+
+  // CONTRACT: [1,N,4] + [1,N,2] + [1,N,H,W]
+  //   bbox:        [x1, y1, x2, y2] in model input coordinates
+  //   scores:      [max_score, class_id] — post-sigmoid
+  //   mask_logits: pre-sigmoid, per-detection
+  auto bboxTensor = tensors[0].toTensor();   // [1, N, 4]
+  auto scoresTensor = tensors[1].toTensor(); // [1, N, 2]
+  auto maskTensor = tensors[2].toTensor();   // [1, N, H, W]
+
+  int N = bboxTensor.size(1);
+  int maskH = maskTensor.size(2);
+  int maskW = maskTensor.size(3);
+
+  const float *bboxData =
+      static_cast<const float *>(bboxTensor.const_data_ptr());
+  const float *scoresData =
+      static_cast<const float *>(scoresTensor.const_data_ptr());
+  const float *maskData =
+      static_cast<const float *>(maskTensor.const_data_ptr());
+
+  for (int i = 0; i < N; ++i) {
+    float x1 = bboxData[i * 4 + 0];
+    float y1 = bboxData[i * 4 + 1];
+    float x2 = bboxData[i * 4 + 2];
+    float y2 = bboxData[i * 4 + 3];
+    float score = scoresData[i * 2 + 0];
+    int label = static_cast<int>(scoresData[i * 2 + 1]);
+
+    if (score < confidenceThreshold)
+      continue;
+    if (!allowedClasses.empty() &&
+        allowedClasses.find(label) == allowedClasses.end())
+      continue;
 
-      types::InstanceMask instance;
-      instance.x1 = x1;
-      instance.y1 = y1;
-      instance.x2 = x2;
-      instance.y2 = y2;
-      instance.mask = std::move(finalMask);
-      instance.maskWidth = finalMaskWidth;
-      instance.maskHeight = finalMaskHeight;
-      instance.label = label;
-      instance.score = score;
-      instance.instanceId = i;
-      instances.push_back(std::move(instance));
+    // Mask logits are pre-computed — just sigmoid + threshold
+    const float *logits = maskData + (i * maskH * maskW);
+    std::vector<uint8_t> binaryMask(maskH * maskW);
+    for (int j = 0; j < maskH * maskW; j++) {
+      float v = 1.0f / (1.0f + std::exp(-logits[j]));
+      binaryMask[j] = (v > 0.5f) ? 1 : 0;
     }
-  }
-  // ════════════════════════════════════════════════════════════
-  // FORMAT B — CONTRACT: [1,N,4] + [1,N,2] + [1,N,H,W]
-  //   bbox:        x1,y1,x2,y2 in model-input coordinates
-  //   scores:      (max_score, class_id)  — score is post-sigmoid
-  //   mask_logits: pre-sigmoid, per-detection, at whatever resolution
-  //                the export chose (128×128, 64×64, 32×32, etc.)
-  // ════════════════════════════════════════════════════════════
-  else if (featureDim == 4 && numTensors == 3) {
-
-    auto bboxTensor = tensors[0].toTensor();   // [1, N, 4]
-    auto scoresTensor = tensors[1].toTensor(); // [1, N, 2]
-    auto maskTensor = tensors[2].toTensor();   // [1, N, H, W]
-
-    int N = bboxTensor.size(1);
-    int maskH = maskTensor.size(2);
-    int maskW = maskTensor.size(3);
-
-    const float *bboxData =
-        static_cast<const float *>(bboxTensor.const_data_ptr());
-    const float *scoresData =
-        static_cast<const float *>(scoresTensor.const_data_ptr());
-    const float *maskData =
-        static_cast<const float *>(maskTensor.const_data_ptr());
-
-    for (int i = 0; i < N; ++i) {
-      float x1 = bboxData[i * 4 + 0];
-      float y1 = bboxData[i * 4 + 1];
-      float x2 = bboxData[i * 4 + 2];
-      float y2 = bboxData[i * 4 + 3];
-      float score = scoresData[i * 2 + 0];
-      int label = static_cast<int>(scoresData[i * 2 + 1]);
-
-      if (score < confidenceThreshold)
-        continue;
-      if (!allowedClasses.empty() &&
-          allowedClasses.find(label) == allowedClasses.end())
-        continue;
 
-      // Mask logits are pre-computed — just sigmoid + threshold
-      const float *logits = maskData + (i * maskH * maskW);
-      std::vector<uint8_t> binaryMask(maskH * maskW);
-      for (int j = 0; j < maskH * maskW; j++) {
-        float v = 1.0f / (1.0f + std::exp(-logits[j]));
-        binaryMask[j] = (v > 0.5f) ? 1 : 0;
-      }
-
-      x1 *= widthRatio;
-      y1 *= heightRatio;
-      x2 *= widthRatio;
-      y2 *= heightRatio;
-
-      int finalMaskWidth = maskW;
-      int finalMaskHeight = maskH;
-      std::vector<uint8_t> finalMask = binaryMask;
-
-      if (returnMaskAtOriginalResolution) {
-        cv::Mat maskMat(maskH, maskW, CV_8UC1, binaryMask.data());
-        cv::Mat resizedMaskMat;
-        cv::resize(maskMat, resizedMaskMat, originalSize, 0, 0,
-                   cv::INTER_NEAREST);
-        finalMaskWidth = originalSize.width;
-        finalMaskHeight = originalSize.height;
-        for (int y = 0; y < finalMaskHeight; y++)
-          for (int x = 0; x < finalMaskWidth; x++)
-            if (x < x1 || x > x2 || y < y1 || y > y2)
-              resizedMaskMat.data[y * finalMaskWidth + x] = 0;
-        finalMask.assign(resizedMaskMat.data,
-                         resizedMaskMat.data + resizedMaskMat.total());
-      }
-
-      types::InstanceMask instance;
-      instance.x1 = x1;
-      instance.y1 = y1;
-      instance.x2 = x2;
-      instance.y2 = y2;
-      instance.mask = std::move(finalMask);
-      instance.maskWidth = finalMaskWidth;
-      instance.maskHeight = finalMaskHeight;
-      instance.label = label;
-      instance.score = score;
-      instance.instanceId = i;
-      instances.push_back(std::move(instance));
+    x1 *= widthRatio;
+    y1 *= heightRatio;
+    x2 *= widthRatio;
+    y2 *= heightRatio;
+
+    int finalMaskWidth = maskW;
+    int finalMaskHeight = maskH;
+    std::vector<uint8_t> finalMask = binaryMask;
+
+    if (returnMaskAtOriginalResolution) {
+      cv::Mat maskMat(maskH, maskW, CV_8UC1, binaryMask.data());
+      cv::Mat resizedMaskMat;
+      cv::resize(maskMat, resizedMaskMat, originalSize, 0, 0,
+                 cv::INTER_NEAREST);
+      finalMaskWidth = originalSize.width;
+      finalMaskHeight = originalSize.height;
+      for (int y = 0; y < finalMaskHeight; y++)
+        for (int x = 0; x < finalMaskWidth; x++)
+          if (x < x1 || x > x2 || y < y1 || y > y2)
+            resizedMaskMat.data[y * finalMaskWidth + x] = 0;
+      finalMask.assign(resizedMaskMat.data,
+                       resizedMaskMat.data + resizedMaskMat.total());
     }
-  }
-  // ════════════════════════════════════════════════════════════
-  // FORMAT C — COEFFS+PROTOS: [1,N,4] + [1,N,2] + [1,N,32] + [1,32,H,W]
-  //   Same bbox/scores as contract, but masks are NOT pre-computed.
-  //   C++ computes masks only for detections that pass the filter,
-  //   which is far cheaper than doing bmm for all 300 in the model.
-  // ════════════════════════════════════════════════════════════
-  else if (featureDim == 4 && numTensors == 4) {
-
-    auto bboxTensor = tensors[0].toTensor();   // [1, N, 4]
-    auto scoresTensor = tensors[1].toTensor(); // [1, N, 2]
-    auto coeffsTensor = tensors[2].toTensor(); // [1, N, nm]
-    auto protoTensor = tensors[3].toTensor();  // [1, nm, H, W]
-
-    int N = bboxTensor.size(1);
-    int nm = coeffsTensor.size(2);
-    int protoH = protoTensor.size(2);
-    int protoW = protoTensor.size(3);
-
-    const float *bboxData =
-        static_cast<const float *>(bboxTensor.const_data_ptr());
-    const float *scoresData =
-        static_cast<const float *>(scoresTensor.const_data_ptr());
-    const float *coeffsData =
-        static_cast<const float *>(coeffsTensor.const_data_ptr());
-    const float *protoData =
-        static_cast<const float *>(protoTensor.const_data_ptr());
-
-    for (int i = 0; i < N; ++i) {
-      float x1 = bboxData[i * 4 + 0];
-      float y1 = bboxData[i * 4 + 1];
-      float x2 = bboxData[i * 4 + 2];
-      float y2 = bboxData[i * 4 + 3];
-      float score = scoresData[i * 2 + 0];
-      int label = static_cast<int>(scoresData[i * 2 + 1]);
-
-      if (score < confidenceThreshold)
-        continue;
-      if (!allowedClasses.empty() &&
-          allowedClasses.find(label) == allowedClasses.end())
-        continue;
-
-      // Compute mask: coeffs[i] @ protos → [protoH * protoW]
-      const float *coeffs = coeffsData + (i * nm);
-      std::vector<float> instanceMask(protoH * protoW, 0.0f);
-      for (int m = 0; m < nm; m++) {
-        float coef = coeffs[m];
-        const float *proto = protoData + (m * protoH * protoW);
-        for (int p = 0; p < protoH * protoW; p++) {
-          instanceMask[p] += coef * proto[p];
-        }
-      }
-
-      std::vector<uint8_t> binaryMask(protoH * protoW);
-      for (int j = 0; j < protoH * protoW; j++) {
-        float v = 1.0f / (1.0f + std::exp(-instanceMask[j]));
-        binaryMask[j] = (v > 0.5f) ? 1 : 0;
-      }
 
-      x1 *= widthRatio;
-      y1 *= heightRatio;
-      x2 *= widthRatio;
-      y2 *= heightRatio;
-
-      int finalMaskWidth = protoW;
-      int finalMaskHeight = protoH;
-      std::vector<uint8_t> finalMask = binaryMask;
-
-      if (returnMaskAtOriginalResolution) {
-        cv::Mat maskMat(protoH, protoW, CV_8UC1, binaryMask.data());
-        cv::Mat resizedMaskMat;
-        cv::resize(maskMat, resizedMaskMat, originalSize, 0, 0,
-                   cv::INTER_NEAREST);
-        finalMaskWidth = originalSize.width;
-        finalMaskHeight = originalSize.height;
-        for (int y = 0; y < finalMaskHeight; y++)
-          for (int x = 0; x < finalMaskWidth; x++)
-            if (x < x1 || x > x2 || y < y1 || y > y2)
-              resizedMaskMat.data[y * finalMaskWidth + x] = 0;
-        finalMask.assign(resizedMaskMat.data,
-                         resizedMaskMat.data + resizedMaskMat.total());
-      }
-
-      types::InstanceMask instance;
-      instance.x1 = x1;
-      instance.y1 = y1;
-      instance.x2 = x2;
-      instance.y2 = y2;
-      instance.mask = std::move(finalMask);
-      instance.maskWidth = finalMaskWidth;
-      instance.maskHeight = finalMaskHeight;
-      instance.label = label;
-      instance.score = score;
-      instance.instanceId = i;
-      instances.push_back(std::move(instance));
-    }
-  }
-  // ════════════════════════════════════════════════════════════
-  else {
-    throw RnExecutorchError(
-        RnExecutorchErrorCode::UnexpectedNumInputs,
-        "Unrecognized output format: " + std::to_string(numTensors) +
-            " tensors, first tensor last dim = " + std::to_string(featureDim) +
-            ". Expected YOLO native (2 tensors, dim=38), contract (3 tensors, "
-            "dim=4), or coeffs+protos (4 tensors, dim=4).");
+    types::InstanceMask instance;
+    instance.x1 = x1;
+    instance.y1 = y1;
+    instance.x2 = x2;
+    instance.y2 = y2;
+    instance.mask = std::move(finalMask);
+    instance.maskWidth = finalMaskWidth;
+    instance.maskHeight = finalMaskHeight;
+    instance.label = label;
+    instance.score = score;
+    instance.instanceId = i;
+    instances.push_back(std::move(instance));
   }
 
   // Finalize: NMS + limit + renumber
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index 19195002fb..c598a6fcdc 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -18,7 +18,6 @@ using executorch::runtime::EValue;
 class BaseInstanceSegmentation : public BaseModel {
 public:
   BaseInstanceSegmentation(const std::string &modelSource,
-                           const std::string &postprocessorType,
                            std::vector<float> normMean,
                            std::vector<float> normStd, bool applyNMS,
                            std::shared_ptr<react::CallInvoker> callInvoker);
@@ -49,7 +48,6 @@ class BaseInstanceSegmentation : public BaseModel {
   }
 
   // Member variables
-  std::string postprocessorType_;
   std::optional<cv::Scalar> normMean_;
   std::optional<cv::Scalar> normStd_;
   bool applyNMS_;
@@ -60,7 +58,6 @@ class BaseInstanceSegmentation : public BaseModel {
 } // namespace models::instance_segmentation
 
 REGISTER_CONSTRUCTOR(models::instance_segmentation::BaseInstanceSegmentation,
-                     std::string, std::string, std::vector<float>,
-                     std::vector<float>, bool,
+                     std::string, std::vector<float>, std::vector<float>, bool,
                      std::shared_ptr<react::CallInvoker>);
 } // namespace rnexecutorch
diff --git a/packages/react-native-executorch/src/index.ts b/packages/react-native-executorch/src/index.ts
index 1a5f16b08f..65fdb6af38 100644
--- a/packages/react-native-executorch/src/index.ts
+++ b/packages/react-native-executorch/src/index.ts
@@ -46,7 +46,6 @@ declare global {
   var loadClassification: (source: string) => Promise<any>;
   var loadInstanceSegmentation: (
     source: string,
-    postprocessorType: string,
     normMean: number[] | [],
     normStd: number[] | [],
     applyNMS: boolean
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index 6ccfd9d497..3215d96a58 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -18,7 +18,6 @@ const YOLO_SEG_CONFIG = {
   availableInputSizes: [384, 416, 512, 640, 1024] as const,
   defaultInputSize: 416,
   postprocessorConfig: {
-    type: 'yolo' as const,
     defaultConfidenceThreshold: 0.5,
     defaultIouThreshold: 0.5,
     applyNMS: true,
@@ -144,7 +143,6 @@ export class InstanceSegmentationModule<
     // Pass config parameters to native module
     const nativeModule = global.loadInstanceSegmentation(
       paths[0],
-      modelConfig.postprocessorConfig.type,
       modelConfig.preprocessorConfig?.normMean || [],
       modelConfig.preprocessorConfig?.normStd || [],
       modelConfig.postprocessorConfig.applyNMS ?? true
@@ -176,7 +174,6 @@ export class InstanceSegmentationModule<
    *     availableInputSizes: [640],
    *     defaultInputSize: 640,
    *     postprocessorConfig: {
-   *       type: 'yolo',
    *       defaultConfidenceThreshold: 0.5,
    *       defaultIouThreshold: 0.45,
    *       applyNMS: true,
@@ -208,7 +205,6 @@ export class InstanceSegmentationModule<
     // Pass config parameters to native module
     const nativeModule = global.loadInstanceSegmentation(
       paths[0],
-      config.postprocessorConfig.type,
       config.preprocessorConfig?.normMean || [],
       config.preprocessorConfig?.normStd || [],
       config.postprocessorConfig.applyNMS ?? true
@@ -272,8 +268,16 @@ export class InstanceSegmentationModule<
     // Get inputSize from options or use default
     const inputSize = options?.inputSize ?? this.modelConfig.defaultInputSize;
 
+    if (inputSize === undefined) {
+      throw new RnExecutorchError(
+        RnExecutorchErrorCode.InvalidArgument,
+        'inputSize must be specified in options when the model config does not define availableInputSizes'
+      );
+    }
+
     // Validate inputSize against available sizes
     if (
+      this.modelConfig.availableInputSizes &&
       !this.modelConfig.availableInputSizes.includes(
         inputSize as (typeof this.modelConfig.availableInputSizes)[number]
       )
diff --git a/packages/react-native-executorch/src/types/instanceSegmentation.ts b/packages/react-native-executorch/src/types/instanceSegmentation.ts
index fe9bdd5e81..e235f2bdaa 100644
--- a/packages/react-native-executorch/src/types/instanceSegmentation.ts
+++ b/packages/react-native-executorch/src/types/instanceSegmentation.ts
@@ -47,10 +47,6 @@ export interface PreprocessorConfig {
  * @category Types
  */
 export interface PostprocessorConfig {
-  /**
-   * Type of postprocessor to use. Determines how model outputs are interpreted.
-   */
-  type: 'yolo' | 'rfdetr';
   /**
    * Default confidence threshold for this model.
    */
@@ -110,16 +106,23 @@ export interface InstanceSegmentationOptions<L extends LabelEnum> {
  * @property availableInputSizes - Array of supported input sizes (e.g., [384, 416, 512, 640, 1024])
  * @property defaultInputSize - Default input size to use if not specified
  * @property preprocessorConfig - Optional preprocessing configuration (normalization, etc.)
- * @property postprocessorConfig - Postprocessing configuration (type, thresholds, etc.)
+ * @property postprocessorConfig - Postprocessing configuration (thresholds, NMS, etc.)
  * @category Types
  */
 export type InstanceSegmentationConfig<T extends LabelEnum> = {
   labelMap: T;
-  availableInputSizes: readonly number[];
-  defaultInputSize: number;
   preprocessorConfig?: PreprocessorConfig;
   postprocessorConfig: PostprocessorConfig;
-};
+} & (
+  | {
+      availableInputSizes: readonly number[];
+      defaultInputSize: number;
+    }
+  | {
+      availableInputSizes?: undefined;
+      defaultInputSize?: undefined;
+    }
+);
 
 /// We would bind it here - but we need a deafult conf for yolo to be applied instead of
 /**

From f7bd1c239efbf01d81e508cd76815ca42ad6deff Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 9 Mar 2026 16:53:55 +0100
Subject: [PATCH 12/56] Add ImageWithMasks component

---
 .../app/instance_segmentation/index.tsx       | 305 ++----------------
 .../components/ImageWithMasks.tsx             | 203 ++++++++++++
 2 files changed, 224 insertions(+), 284 deletions(-)
 create mode 100644 apps/computer-vision/components/ImageWithMasks.tsx

diff --git a/apps/computer-vision/app/instance_segmentation/index.tsx b/apps/computer-vision/app/instance_segmentation/index.tsx
index 5b407226f6..5eb96929cc 100644
--- a/apps/computer-vision/app/instance_segmentation/index.tsx
+++ b/apps/computer-vision/app/instance_segmentation/index.tsx
@@ -3,26 +3,11 @@ import { BottomBar } from '../../components/BottomBar';
 import { getImage } from '../../utils';
 import {
   useInstanceSegmentation,
-  YOLO26N_SEG,
-  YOLO26L_SEG,
-  YOLO26M_SEG,
-  YOLO26S_SEG,
   YOLO26X_SEG,
 } from 'react-native-executorch';
-import {
-  Canvas,
-  Image as SkiaImage,
-  Skia,
-  AlphaType,
-  ColorType,
-  SkImage,
-  Rect,
-  Group,
-} from '@shopify/react-native-skia';
 import {
   View,
   StyleSheet,
-  Image,
   ScrollView,
   Text,
   TouchableOpacity,
@@ -30,64 +15,9 @@ import {
 import React, { useContext, useEffect, useState } from 'react';
 import { GeneratingContext } from '../../context';
 import ScreenWrapper from '../../ScreenWrapper';
+import ImageWithMasks from '../../components/ImageWithMasks';
 
-// Color palette for different instances
-const instanceColors = [
-  [255, 87, 51, 180], // Red
-  [51, 255, 87, 180], // Green
-  [51, 87, 255, 180], // Blue
-  [255, 51, 246, 180], // Magenta
-  [51, 255, 246, 180], // Cyan
-  [243, 255, 51, 180], // Yellow
-  [141, 51, 255, 180], // Purple
-  [255, 131, 51, 180], // Orange
-  [51, 255, 131, 180], // Spring Green
-  [131, 51, 255, 180], // Violet
-];
-
-// Available input sizes for YOLO models
-const AVAILABLE_INPUT_SIZES = [384, 416, 512, 640, 1024];
-
-/**
- * EXAMPLE: Using built-in YOLO models with COCO labels (80 classes)
- *
- * const { forward } = useInstanceSegmentation({
- *   model: YOLO26N_SEG, // or YOLO26S_SEG, YOLO26M_SEG, etc.
- * });
- *
- * // Filter by specific COCO classes:
- * const results = await forward(imageUri, {
- *   classesOfInterest: ['PERSON', 'CAR', 'DOG'],
- *   confidenceThreshold: 0.5,
- *   inputSize: 640,
- * });
- *
- *
- * EXAMPLE: Using a custom model with custom labels
- *
- * // 1. Define your custom label enum
- * const MyLabels = { APPLE: 0, ORANGE: 1, BANANA: 2 } as const;
- *
- * // 2. Load using InstanceSegmentationModule directly (not the hook)
- * const customModel = await InstanceSegmentationModule.fromCustomConfig(
- *   'https://example.com/my-model.pte',
- *   {
- *     labelMap: MyLabels,
- *     availableInputSizes: [640],
- *     defaultInputSize: 640,
- *     postprocessorConfig: {
- *       defaultConfidenceThreshold: 0.5,
- *       defaultIouThreshold: 0.45,
- *       applyNMS: true,
- *     },
- *   }
- * );
- *
- * // 3. Run inference
- * const results = await customModel.forward(imageUri, {
- *   classesOfInterest: ['APPLE', 'BANANA'],
- * });
- */
+const AVAILABLE_INPUT_SIZES = [384, 512, 640];
 
 export default function InstanceSegmentationScreen() {
   const { setGlobalGenerating } = useContext(GeneratingContext);
@@ -99,10 +29,10 @@ export default function InstanceSegmentationScreen() {
 
   const [imageUri, setImageUri] = useState('');
   const [imageSize, setImageSize] = useState({ width: 0, height: 0 });
-  const [maskImages, setMaskImages] = useState<SkImage[]>([]);
   const [instances, setInstances] = useState<any[]>([]);
-  const [canvasSize, setCanvasSize] = useState({ width: 0, height: 0 });
-  const [selectedInputSize, setSelectedInputSize] = useState(416);
+  const [selectedInputSize, setSelectedInputSize] = useState(
+    AVAILABLE_INPUT_SIZES[0]
+  );
 
   useEffect(() => {
     setGlobalGenerating(isGenerating);
@@ -116,7 +46,6 @@ export default function InstanceSegmentationScreen() {
       width: image.width ?? 0,
       height: image.height ?? 0,
     });
-    setMaskImages([]);
     setInstances([]);
   };
 
@@ -132,52 +61,7 @@ export default function InstanceSegmentationScreen() {
         inputSize: selectedInputSize,
       });
 
-      // Debug: Check if labels are present
-      if (output.length > 0) {
-        console.log('First instance label:', output[0].label);
-      }
-
       setInstances(output);
-
-      // Create Skia images for each mask
-      const images: SkImage[] = [];
-      for (let i = 0; i < output.length; i++) {
-        const instance = output[i];
-        const color = instanceColors[i % instanceColors.length];
-
-        const pixels = new Uint8Array(
-          instance.maskWidth * instance.maskHeight * 4
-        );
-
-        for (let j = 0; j < instance.mask.length; j++) {
-          if (instance.mask[j] > 0) {
-            pixels[j * 4] = color[0];
-            pixels[j * 4 + 1] = color[1];
-            pixels[j * 4 + 2] = color[2];
-            pixels[j * 4 + 3] = color[3];
-          } else {
-            pixels[j * 4 + 3] = 0;
-          }
-        }
-
-        const data = Skia.Data.fromBytes(pixels);
-        const img = Skia.Image.MakeImage(
-          {
-            width: instance.maskWidth,
-            height: instance.maskHeight,
-            alphaType: AlphaType.Premul,
-            colorType: ColorType.RGBA_8888,
-          },
-          data,
-          instance.maskWidth * 4
-        );
-
-        if (img) {
-          images.push(img);
-        }
-      }
-
-      setMaskImages(images);
     } catch (e) {
       console.error(e);
     }
@@ -206,111 +90,16 @@ export default function InstanceSegmentationScreen() {
     );
   }
 
-  const scaleX = canvasSize.width / (imageSize.width || 1);
-  const scaleY = canvasSize.height / (imageSize.height || 1);
-  const scale = Math.min(scaleX, scaleY);
-
   return (
     <ScreenWrapper>
       <View style={styles.container}>
-        <View style={styles.imageCanvasContainer}>
-          <View style={styles.imageContainer}>
-            <Image
-              style={styles.image}
-              resizeMode="contain"
-              source={
-                imageUri
-                  ? { uri: imageUri }
-                  : require('../../assets/icons/executorch_logo.png')
-              }
-            />
-          </View>
-
-          {maskImages.length > 0 && (
-            <View
-              style={styles.canvasContainer}
-              onLayout={(e) =>
-                setCanvasSize({
-                  width: e.nativeEvent.layout.width,
-                  height: e.nativeEvent.layout.height,
-                })
-              }
-            >
-              <Canvas style={styles.canvas}>
-                {maskImages.map((maskImg, idx) => (
-                  <SkiaImage
-                    key={`mask-${idx}`}
-                    image={maskImg}
-                    fit="contain"
-                    x={0}
-                    y={0}
-                    width={canvasSize.width}
-                    height={canvasSize.height}
-                  />
-                ))}
-
-                {instances.map((instance, idx) => {
-                  const color = instanceColors[idx % instanceColors.length];
-                  const offsetX =
-                    (canvasSize.width - imageSize.width * scale) / 2;
-                  const offsetY =
-                    (canvasSize.height - imageSize.height * scale) / 2;
-
-                  const bboxX = instance.bbox.x1 * scale + offsetX;
-                  const bboxY = instance.bbox.y1 * scale + offsetY;
-                  const bboxWidth =
-                    (instance.bbox.x2 - instance.bbox.x1) * scale;
-                  const bboxHeight =
-                    (instance.bbox.y2 - instance.bbox.y1) * scale;
-
-                  return (
-                    <Group key={`bbox-${idx}`}>
-                      {/* Bounding box */}
-                      <Rect
-                        x={bboxX}
-                        y={bboxY}
-                        width={bboxWidth}
-                        height={bboxHeight}
-                        style="stroke"
-                        strokeWidth={2}
-                        color={`rgba(${color[0]}, ${color[1]}, ${color[2]}, 1)`}
-                      />
-                    </Group>
-                  );
-                })}
-              </Canvas>
-
-              {/* Labels using React Native Text - positioned absolutely */}
-              {instances.map((instance, idx) => {
-                const color = instanceColors[idx % instanceColors.length];
-                const offsetX =
-                  (canvasSize.width - imageSize.width * scale) / 2;
-                const offsetY =
-                  (canvasSize.height - imageSize.height * scale) / 2;
-
-                const bboxX = instance.bbox.x1 * scale + offsetX;
-                const bboxY = instance.bbox.y1 * scale + offsetY;
-
-                const labelText = `${instance.label || 'Unknown'} ${(instance.score * 100).toFixed(0)}%`;
-
-                return (
-                  <View
-                    key={`label-${idx}`}
-                    style={[
-                      styles.labelContainer,
-                      {
-                        left: bboxX,
-                        top: bboxY - 20,
-                        backgroundColor: `rgba(${color[0]}, ${color[1]}, ${color[2]}, 0.9)`,
-                      },
-                    ]}
-                  >
-                    <Text style={styles.labelText}>{labelText}</Text>
-                  </View>
-                );
-              })}
-            </View>
-          )}
+        <View style={styles.imageContainer}>
+          <ImageWithMasks
+            imageUri={imageUri}
+            instances={instances}
+            imageWidth={imageSize.width}
+            imageHeight={imageSize.height}
+          />
         </View>
 
         {imageUri && (
@@ -350,25 +139,14 @@ export default function InstanceSegmentationScreen() {
               Detected {instances.length} instance(s)
             </Text>
             <ScrollView style={styles.resultsList}>
-              {instances.map((instance, idx) => {
-                const color = instanceColors[idx % instanceColors.length];
-                return (
-                  <View key={idx} style={styles.resultRow}>
-                    <View
-                      style={[
-                        styles.colorBox,
-                        {
-                          backgroundColor: `rgb(${color[0]}, ${color[1]}, ${color[2]})`,
-                        },
-                      ]}
-                    />
-                    <Text style={styles.resultText}>
-                      {instance.label || 'Unknown'} (
-                      {(instance.score * 100).toFixed(1)}%)
-                    </Text>
-                  </View>
-                );
-              })}
+              {instances.map((instance, idx) => (
+                <View key={idx} style={styles.resultRow}>
+                  <Text style={styles.resultText}>
+                    {instance.label || 'Unknown'} (
+                    {(instance.score * 100).toFixed(1)}%)
+                  </Text>
+                </View>
+              ))}
             </ScrollView>
           </View>
         )}
@@ -387,45 +165,10 @@ const styles = StyleSheet.create({
     flex: 6,
     width: '100%',
   },
-  imageCanvasContainer: {
-    flex: 1,
-    width: '100%',
-    padding: 16,
-  },
   imageContainer: {
-    position: 'absolute',
-    top: 16,
-    left: 16,
-    right: 16,
-    bottom: 16,
-    borderRadius: 8,
-    overflow: 'hidden',
-  },
-  image: {
-    width: '100%',
-    height: '100%',
-  },
-  canvasContainer: {
     flex: 1,
-    justifyContent: 'center',
-    alignItems: 'center',
-    borderRadius: 8,
-    overflow: 'hidden',
-  },
-  canvas: {
     width: '100%',
-    height: '100%',
-  },
-  labelContainer: {
-    position: 'absolute',
-    paddingHorizontal: 6,
-    paddingVertical: 2,
-    borderRadius: 4,
-  },
-  labelText: {
-    color: 'white',
-    fontSize: 12,
-    fontWeight: '600',
+    padding: 16,
   },
   inputSizeContainer: {
     paddingHorizontal: 16,
@@ -487,12 +230,6 @@ const styles = StyleSheet.create({
     backgroundColor: '#f9f9f9',
     borderRadius: 6,
   },
-  colorBox: {
-    width: 20,
-    height: 20,
-    borderRadius: 4,
-    marginRight: 10,
-  },
   resultText: {
     fontSize: 14,
     fontWeight: '500',
diff --git a/apps/computer-vision/components/ImageWithMasks.tsx b/apps/computer-vision/components/ImageWithMasks.tsx
new file mode 100644
index 0000000000..14e57f946b
--- /dev/null
+++ b/apps/computer-vision/components/ImageWithMasks.tsx
@@ -0,0 +1,203 @@
+import React, { useState } from 'react';
+import { Image, StyleSheet, View, Text } from 'react-native';
+import {
+  Canvas,
+  Image as SkiaImage,
+  Skia,
+  AlphaType,
+  ColorType,
+  SkImage,
+  Rect,
+  Group,
+} from '@shopify/react-native-skia';
+import type { SegmentedInstance } from 'react-native-executorch';
+import type { LabelEnum } from 'react-native-executorch';
+
+const INSTANCE_COLORS = [
+  [255, 87, 51, 180],
+  [51, 255, 87, 180],
+  [51, 87, 255, 180],
+  [255, 51, 246, 180],
+  [51, 255, 246, 180],
+  [243, 255, 51, 180],
+  [141, 51, 255, 180],
+  [255, 131, 51, 180],
+  [51, 255, 131, 180],
+  [131, 51, 255, 180],
+];
+
+interface Props {
+  imageUri: string;
+  instances: SegmentedInstance<LabelEnum>[];
+  imageWidth: number;
+  imageHeight: number;
+}
+
+function createMaskImage(
+  mask: Uint8Array,
+  width: number,
+  height: number,
+  color: number[]
+): SkImage | null {
+  const pixels = new Uint8Array(width * height * 4);
+  for (let j = 0; j < mask.length; j++) {
+    if (mask[j] > 0) {
+      pixels[j * 4] = color[0];
+      pixels[j * 4 + 1] = color[1];
+      pixels[j * 4 + 2] = color[2];
+      pixels[j * 4 + 3] = color[3];
+    }
+  }
+  const data = Skia.Data.fromBytes(pixels);
+  return Skia.Image.MakeImage(
+    {
+      width,
+      height,
+      alphaType: AlphaType.Premul,
+      colorType: ColorType.RGBA_8888,
+    },
+    data,
+    width * 4
+  );
+}
+
+export default function ImageWithMasks({
+  imageUri,
+  instances,
+  imageWidth,
+  imageHeight,
+}: Props) {
+  const [layout, setLayout] = useState({ width: 0, height: 0 });
+
+  const scaleX = layout.width / (imageWidth || 1);
+  const scaleY = layout.height / (imageHeight || 1);
+  const scale = Math.min(scaleX, scaleY);
+  const offsetX = (layout.width - imageWidth * scale) / 2;
+  const offsetY = (layout.height - imageHeight * scale) / 2;
+
+  const maskImages = instances
+    .map((instance, i) => {
+      const color = INSTANCE_COLORS[i % INSTANCE_COLORS.length];
+      return createMaskImage(
+        instance.mask,
+        instance.maskWidth,
+        instance.maskHeight,
+        color
+      );
+    })
+    .filter((img): img is SkImage => img !== null);
+
+  return (
+    <View
+      style={styles.container}
+      onLayout={(e) => {
+        const { width, height } = e.nativeEvent.layout;
+        setLayout({ width, height });
+      }}
+    >
+      <Image
+        style={styles.image}
+        resizeMode="contain"
+        source={
+          imageUri
+            ? { uri: imageUri }
+            : require('../assets/icons/executorch_logo.png')
+        }
+      />
+
+      {instances.length > 0 && (
+        <View style={styles.overlay}>
+          <Canvas style={styles.canvas}>
+            {maskImages.map((maskImg, idx) => (
+              <SkiaImage
+                key={`mask-${idx}`}
+                image={maskImg}
+                fit="contain"
+                x={0}
+                y={0}
+                width={layout.width}
+                height={layout.height}
+              />
+            ))}
+
+            {instances.map((instance, idx) => {
+              const color = INSTANCE_COLORS[idx % INSTANCE_COLORS.length];
+              const bboxX = instance.bbox.x1 * scale + offsetX;
+              const bboxY = instance.bbox.y1 * scale + offsetY;
+              const bboxW = (instance.bbox.x2 - instance.bbox.x1) * scale;
+              const bboxH = (instance.bbox.y2 - instance.bbox.y1) * scale;
+
+              return (
+                <Group key={`bbox-${idx}`}>
+                  <Rect
+                    x={bboxX}
+                    y={bboxY}
+                    width={bboxW}
+                    height={bboxH}
+                    style="stroke"
+                    strokeWidth={2}
+                    color={`rgba(${color[0]}, ${color[1]}, ${color[2]}, 1)`}
+                  />
+                </Group>
+              );
+            })}
+          </Canvas>
+
+          {instances.map((instance, idx) => {
+            const color = INSTANCE_COLORS[idx % INSTANCE_COLORS.length];
+            const bboxX = instance.bbox.x1 * scale + offsetX;
+            const bboxY = instance.bbox.y1 * scale + offsetY;
+
+            return (
+              <View
+                key={`label-${idx}`}
+                style={[
+                  styles.labelContainer,
+                  {
+                    left: bboxX,
+                    top: bboxY - 20,
+                    backgroundColor: `rgba(${color[0]}, ${color[1]}, ${color[2]}, 0.9)`,
+                  },
+                ]}
+              >
+                <Text style={styles.labelText}>
+                  {String(instance.label) || 'Unknown'}{' '}
+                  {(instance.score * 100).toFixed(0)}%
+                </Text>
+              </View>
+            );
+          })}
+        </View>
+      )}
+    </View>
+  );
+}
+
+const styles = StyleSheet.create({
+  container: {
+    flex: 1,
+    position: 'relative',
+  },
+  image: {
+    width: '100%',
+    height: '100%',
+  },
+  overlay: {
+    ...StyleSheet.absoluteFillObject,
+  },
+  canvas: {
+    width: '100%',
+    height: '100%',
+  },
+  labelContainer: {
+    position: 'absolute',
+    paddingHorizontal: 6,
+    paddingVertical: 2,
+    borderRadius: 4,
+  },
+  labelText: {
+    color: 'white',
+    fontSize: 12,
+    fontWeight: '600',
+  },
+});

From 52e981b0b5d43725add944149480b6cc50d9b7b2 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 9 Mar 2026 18:42:11 +0100
Subject: [PATCH 13/56] Change BaseInstanceSegmentation to accept and return
 string labels

---
 .../host_objects/JsiConversions.h             |  5 +--
 .../BaseInstanceSegmentation.cpp              | 32 ++++++++++++-------
 .../BaseInstanceSegmentation.h                |  3 ++
 .../models/instance_segmentation/Types.h      |  3 +-
 4 files changed, 29 insertions(+), 14 deletions(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
index bfae757a83..d91f592aa5 100644
--- a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
+++ b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
@@ -483,8 +483,9 @@ inline jsi::Value getJsiValue(
     instance.setProperty(runtime, "maskWidth", instances[i].maskWidth);
     instance.setProperty(runtime, "maskHeight", instances[i].maskHeight);
 
-    // Label - return as number, let TypeScript convert to string using labelMap
-    instance.setProperty(runtime, "label", instances[i].label);
+    instance.setProperty(
+        runtime, "label",
+        jsi::String::createFromUtf8(runtime, instances[i].label));
 
     instance.setProperty(runtime, "score", instances[i].score);
     instance.setProperty(runtime, "instanceId", instances[i].instanceId);
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index a7bc13a385..ce03436771 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -10,8 +10,10 @@ namespace rnexecutorch::models::instance_segmentation {
 BaseInstanceSegmentation::BaseInstanceSegmentation(
     const std::string &modelSource, std::vector<float> normMean,
     std::vector<float> normStd, bool applyNMS,
+    std::vector<std::string> labelNames,
     std::shared_ptr<react::CallInvoker> callInvoker)
-    : BaseModel(modelSource, callInvoker), applyNMS_(applyNMS) {
+    : BaseModel(modelSource, callInvoker), applyNMS_(applyNMS),
+      labelNames_(std::move(labelNames)) {
   avalivableMethods_ = *module_->method_names();
   if (normMean.size() == 3) {
     normMean_ = cv::Scalar(normMean[0], normMean[1], normMean[2]);
@@ -107,12 +109,12 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
   std::vector<types::InstanceMask> instances;
 
   size_t numTensors = tensors.size();
-  // if (numTensors != 3) {
-  //   throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs,
-  //                           "Expected 3 output tensors ([1,N,4] + [1,N,2] + "
-  //                           "[1,N,H,W]), got " +
-  //                               std::to_string(numTensors));
-  // }
+  if (numTensors != 3) {
+    throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs,
+                            "Expected 3 output tensors ([1,N,4] + [1,N,2] + "
+                            "[1,N,H,W]), got " +
+                                std::to_string(numTensors));
+  }
 
   // CONTRACT: [1,N,4] + [1,N,2] + [1,N,H,W]
   //   bbox:        [x1, y1, x2, y2] in model input coordinates
@@ -139,14 +141,22 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
     float x2 = bboxData[i * 4 + 2];
     float y2 = bboxData[i * 4 + 3];
     float score = scoresData[i * 2 + 0];
-    int label = static_cast<int>(scoresData[i * 2 + 1]);
+    auto labelIdx = static_cast<std::size_t>(scoresData[i * 2 + 1]);
 
     if (score < confidenceThreshold)
       continue;
-    if (!allowedClasses.empty() &&
-        allowedClasses.find(label) == allowedClasses.end())
+    if (!allowedClasses.empty() && allowedClasses.find(static_cast<int32_t>(
+                                       labelIdx)) == allowedClasses.end())
       continue;
 
+    if (labelIdx >= labelNames_.size()) {
+      throw RnExecutorchError(
+          RnExecutorchErrorCode::InvalidConfig,
+          "Model output class index " + std::to_string(labelIdx) +
+              " exceeds labelNames size " + std::to_string(labelNames_.size()) +
+              ". Ensure the labelMap covers all model output classes.");
+    }
+
     // Mask logits are pre-computed — just sigmoid + threshold
     const float *logits = maskData + (i * maskH * maskW);
     std::vector<uint8_t> binaryMask(maskH * maskW);
@@ -187,7 +197,7 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
     instance.mask = std::move(finalMask);
     instance.maskWidth = finalMaskWidth;
     instance.maskHeight = finalMaskHeight;
-    instance.label = label;
+    instance.label = labelNames_[labelIdx];
     instance.score = score;
     instance.instanceId = i;
     instances.push_back(std::move(instance));
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index c598a6fcdc..2c4fdcf83a 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -20,6 +20,7 @@ class BaseInstanceSegmentation : public BaseModel {
   BaseInstanceSegmentation(const std::string &modelSource,
                            std::vector<float> normMean,
                            std::vector<float> normStd, bool applyNMS,
+                           std::vector<std::string> labelNames,
                            std::shared_ptr<react::CallInvoker> callInvoker);
 
   [[nodiscard("Registered non-void function")]] std::vector<types::InstanceMask>
@@ -51,6 +52,7 @@ class BaseInstanceSegmentation : public BaseModel {
   std::optional<cv::Scalar> normMean_;
   std::optional<cv::Scalar> normStd_;
   bool applyNMS_;
+  std::vector<std::string> labelNames_;
   cv::Size modelImageSize{0, 0};
   std::unordered_set<std::string> avalivableMethods_;
   std::string currentlyLoadedMethod_;
@@ -59,5 +61,6 @@ class BaseInstanceSegmentation : public BaseModel {
 
 REGISTER_CONSTRUCTOR(models::instance_segmentation::BaseInstanceSegmentation,
                      std::string, std::vector<float>, std::vector<float>, bool,
+                     std::vector<std::string>,
                      std::shared_ptr<react::CallInvoker>);
 } // namespace rnexecutorch
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
index dcda34c266..38fc7a26c0 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
@@ -1,5 +1,6 @@
 #pragma once
 
+#include <string>
 #include <vector>
 
 namespace rnexecutorch::models::instance_segmentation::types {
@@ -18,7 +19,7 @@ struct InstanceMask {
   std::vector<uint8_t> mask; ///< Binary mask (0 or 1) for the instance
   int maskWidth;             ///< Width of the mask array
   int maskHeight;            ///< Height of the mask array
-  int label;                 ///< Class label index
+  std::string label;         ///< Class label name
   float score;               ///< Confidence score [0, 1]
   int instanceId;            ///< Unique identifier for this instance
 };

From ed18734c18ae991659c8805915750be390d4b022 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 9 Mar 2026 18:42:41 +0100
Subject: [PATCH 14/56] Remove redundant postprocessor config type

---
 .../useInstanceSegmentation.ts                |  89 +++----------
 packages/react-native-executorch/src/index.ts |   3 +-
 .../InstanceSegmentationModule.ts             | 117 ++++++------------
 .../src/types/instanceSegmentation.ts         |  57 ++-------
 4 files changed, 66 insertions(+), 200 deletions(-)

diff --git a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
index 1f426654ab..c8febc01da 100644
--- a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
+++ b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
@@ -1,4 +1,3 @@
-import { useState, useEffect } from 'react';
 import {
   InstanceSegmentationModule,
   InstanceSegmentationLabels,
@@ -8,10 +7,8 @@ import {
   InstanceSegmentationType,
   InstanceModelNameOf,
   InstanceSegmentationModelSources,
-  InstanceSegmentationOptions,
 } from '../../types/instanceSegmentation';
-import { RnExecutorchErrorCode } from '../../errors/ErrorCodes';
-import { RnExecutorchError, parseUnknownError } from '../../errors/errorUtils';
+import { useModuleFactory } from '../useModuleFactory';
 
 /**
  * React hook for managing an Instance Segmentation model instance.
@@ -47,78 +44,20 @@ export const useInstanceSegmentation = <
 >({
   model,
   preventLoad = false,
-}: InstanceSegmentationProps<C>): InstanceSegmentationType<LabelEnum> => {
-  const [error, setError] = useState<RnExecutorchError | null>(null);
-  const [isReady, setIsReady] = useState(false);
-  const [isGenerating, setIsGenerating] = useState(false);
-  const [downloadProgress, setDownloadProgress] = useState(0);
-  const [instance, setInstance] = useState<InstanceSegmentationModule<
-    InstanceModelNameOf<C>
-  > | null>(null);
+}: InstanceSegmentationProps<C>): InstanceSegmentationType<
+  InstanceSegmentationLabels<C['modelName']>
+> => {
+  const { error, isReady, isGenerating, downloadProgress, runForward } =
+    useModuleFactory<InstanceSegmentationModule<InstanceModelNameOf<C>>, C>({
+      factory: InstanceSegmentationModule.fromModelName,
+      config: model,
+      preventLoad,
+    });
 
-  useEffect(() => {
-    if (preventLoad) return;
-
-    let isMounted = true;
-    let currentInstance: InstanceSegmentationModule<
-      InstanceModelNameOf<C>
-    > | null = null;
-
-    (async () => {
-      setDownloadProgress(0);
-      setError(null);
-      setIsReady(false);
-      try {
-        currentInstance = await InstanceSegmentationModule.fromModelName(
-          model,
-          (progress) => {
-            if (isMounted) setDownloadProgress(progress);
-          }
-        );
-        if (isMounted) {
-          setInstance(currentInstance);
-          setIsReady(true);
-        }
-      } catch (err) {
-        if (isMounted) setError(parseUnknownError(err));
-      }
-    })();
-
-    return () => {
-      isMounted = false;
-      currentInstance?.delete();
-    };
-
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [model.modelName, model.modelSource, preventLoad]);
-
-  const forward = async (
-    imageSource: string,
-    options?: InstanceSegmentationOptions<LabelEnum>
-  ) => {
-    if (!isReady || !instance) {
-      throw new RnExecutorchError(
-        RnExecutorchErrorCode.ModuleNotLoaded,
-        'The model is currently not loaded. Please load the model before calling forward().'
-      );
-    }
-    if (isGenerating) {
-      throw new RnExecutorchError(
-        RnExecutorchErrorCode.ModelGenerating,
-        'The model is currently generating. Please wait until previous model run is complete.'
-      );
-    }
-    try {
-      setIsGenerating(true);
-      const result = await instance.forward(imageSource, options);
-      return result as any;
-    } catch (err) {
-      setError(parseUnknownError(err));
-      throw err;
-    } finally {
-      setIsGenerating(false);
-    }
-  };
+  const forward: InstanceSegmentationType<
+    InstanceSegmentationLabels<C['modelName']>
+  >['forward'] = (imageSource, options) =>
+    runForward((instance) => instance.forward(imageSource, options) as any);
 
   return {
     error,
diff --git a/packages/react-native-executorch/src/index.ts b/packages/react-native-executorch/src/index.ts
index 65fdb6af38..4f1b70222c 100644
--- a/packages/react-native-executorch/src/index.ts
+++ b/packages/react-native-executorch/src/index.ts
@@ -48,7 +48,8 @@ declare global {
     source: string,
     normMean: number[] | [],
     normStd: number[] | [],
-    applyNMS: boolean
+    applyNMS: boolean,
+    labelNames: string[]
   ) => any;
   var loadObjectDetection: (
     source: string,
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index 3215d96a58..1ab8afc294 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -1,4 +1,3 @@
-import { ResourceFetcher } from '../../utils/ResourceFetcher';
 import { ResourceSource, LabelEnum } from '../../types/common';
 import {
   InstanceSegmentationModelSources,
@@ -11,18 +10,33 @@ import {
 import { CocoLabel } from '../../types/objectDetection';
 import { RnExecutorchErrorCode } from '../../errors/ErrorCodes';
 import { RnExecutorchError } from '../../errors/errorUtils';
-import { BaseModule } from '../BaseModule';
+import { BaseLabeledModule, fetchModelPath } from '../BaseLabeledModule';
 
-const YOLO_SEG_CONFIG = {
+const YOLO_SEG_CONFIG: InstanceSegmentationConfig<typeof CocoLabel> = {
   labelMap: CocoLabel,
-  availableInputSizes: [384, 416, 512, 640, 1024] as const,
-  defaultInputSize: 416,
+  availableInputSizes: [384, 512, 640] as const,
+  defaultInputSize: 384,
+  defaultConfidenceThreshold: 0.5,
+  defaultIouThreshold: 0.5,
   postprocessorConfig: {
-    defaultConfidenceThreshold: 0.5,
-    defaultIouThreshold: 0.5,
     applyNMS: true,
   },
-} as const;
+};
+
+/**
+ * Builds an ordered label name array from a label map, indexed by class ID.
+ * Index i corresponds to class index i produced by the model.
+ */
+function buildLabelNames(labelMap: LabelEnum): string[] {
+  const allLabelNames: string[] = [];
+  for (const [name, value] of Object.entries(labelMap)) {
+    if (typeof value === 'number') allLabelNames[value] = name;
+  }
+  for (let i = 0; i < allLabelNames.length; i++) {
+    if (allLabelNames[i] == null) allLabelNames[i] = '';
+  }
+  return allLabelNames;
+}
 
 const ModelConfigs = {
   'yolo26n-seg': YOLO_SEG_CONFIG,
@@ -84,8 +98,7 @@ type ResolveLabels<T extends InstanceSegmentationModelName | LabelEnum> =
  */
 export class InstanceSegmentationModule<
   T extends InstanceSegmentationModelName | LabelEnum,
-> extends BaseModule {
-  private labelMap: ResolveLabels<T>;
+> extends BaseLabeledModule<ResolveLabels<T>> {
   private modelConfig: InstanceSegmentationConfig<LabelEnum>;
 
   private constructor(
@@ -93,15 +106,10 @@ export class InstanceSegmentationModule<
     modelConfig: InstanceSegmentationConfig<LabelEnum>,
     nativeModule: unknown
   ) {
-    super();
-    this.labelMap = labelMap;
+    super(labelMap, nativeModule);
     this.modelConfig = modelConfig;
-    this.nativeModule = nativeModule;
   }
 
-  // TODO: figure it out so we can delete this (we need this because of basemodule inheritance)
-  override async load() {}
-
   /**
    * Creates an instance segmentation module for a pre-configured model.
    * The config object is discriminated by `modelName` — each model can require different fields.
@@ -125,13 +133,7 @@ export class InstanceSegmentationModule<
     const { modelName, modelSource } = config;
     const modelConfig = ModelConfigs[modelName as keyof typeof ModelConfigs];
 
-    const paths = await ResourceFetcher.fetch(onDownloadProgress, modelSource);
-    if (!paths?.[0]) {
-      throw new RnExecutorchError(
-        RnExecutorchErrorCode.DownloadInterrupted,
-        'The download has been interrupted. As a result, not every file was downloaded. Please retry the download.'
-      );
-    }
+    const path = await fetchModelPath(modelSource, onDownloadProgress);
 
     if (typeof global.loadInstanceSegmentation !== 'function') {
       throw new RnExecutorchError(
@@ -140,12 +142,12 @@ export class InstanceSegmentationModule<
       );
     }
 
-    // Pass config parameters to native module
     const nativeModule = global.loadInstanceSegmentation(
-      paths[0],
+      path,
       modelConfig.preprocessorConfig?.normMean || [],
       modelConfig.preprocessorConfig?.normStd || [],
-      modelConfig.postprocessorConfig.applyNMS ?? true
+      modelConfig.postprocessorConfig?.applyNMS ?? true,
+      buildLabelNames(modelConfig.labelMap)
     );
 
     return new InstanceSegmentationModule<InstanceModelNameOf<C>>(
@@ -173,11 +175,9 @@ export class InstanceSegmentationModule<
    *     labelMap: MyLabels,
    *     availableInputSizes: [640],
    *     defaultInputSize: 640,
-   *     postprocessorConfig: {
-   *       defaultConfidenceThreshold: 0.5,
-   *       defaultIouThreshold: 0.45,
-   *       applyNMS: true,
-   *     },
+   *     defaultConfidenceThreshold: 0.5,
+   *     defaultIouThreshold: 0.45,
+   *     postprocessorConfig: { applyNMS: true },
    *   },
    * );
    * ```
@@ -187,13 +187,7 @@ export class InstanceSegmentationModule<
     config: InstanceSegmentationConfig<L>,
     onDownloadProgress: (progress: number) => void = () => {}
   ): Promise<InstanceSegmentationModule<L>> {
-    const paths = await ResourceFetcher.fetch(onDownloadProgress, modelSource);
-    if (!paths?.[0]) {
-      throw new RnExecutorchError(
-        RnExecutorchErrorCode.DownloadInterrupted,
-        'The download has been interrupted. Please retry.'
-      );
-    }
+    const path = await fetchModelPath(modelSource, onDownloadProgress);
 
     if (typeof global.loadInstanceSegmentation !== 'function') {
       throw new RnExecutorchError(
@@ -202,12 +196,12 @@ export class InstanceSegmentationModule<
       );
     }
 
-    // Pass config parameters to native module
     const nativeModule = global.loadInstanceSegmentation(
-      paths[0],
+      path,
       config.preprocessorConfig?.normMean || [],
       config.preprocessorConfig?.normStd || [],
-      config.postprocessorConfig.applyNMS ?? true
+      config.postprocessorConfig?.applyNMS ?? true,
+      buildLabelNames(config.labelMap)
     );
 
     return new InstanceSegmentationModule<L>(
@@ -252,20 +246,16 @@ export class InstanceSegmentationModule<
       );
     }
 
-    // Extract options with defaults from config
     const confidenceThreshold =
       options?.confidenceThreshold ??
-      this.modelConfig.postprocessorConfig.defaultConfidenceThreshold ??
-      0.55;
+      this.modelConfig.defaultConfidenceThreshold ??
+      0.5;
     const iouThreshold =
-      options?.iouThreshold ??
-      this.modelConfig.postprocessorConfig.defaultIouThreshold ??
-      0.55;
+      options?.iouThreshold ?? this.modelConfig.defaultIouThreshold ?? 0.5;
     const maxInstances = options?.maxInstances ?? 100;
     const returnMaskAtOriginalResolution =
       options?.returnMaskAtOriginalResolution ?? true;
 
-    // Get inputSize from options or use default
     const inputSize = options?.inputSize ?? this.modelConfig.defaultInputSize;
 
     if (inputSize === undefined) {
@@ -275,7 +265,6 @@ export class InstanceSegmentationModule<
       );
     }
 
-    // Validate inputSize against available sizes
     if (
       this.modelConfig.availableInputSizes &&
       !this.modelConfig.availableInputSizes.includes(
@@ -288,7 +277,6 @@ export class InstanceSegmentationModule<
       );
     }
 
-    // Convert classesOfInterest labels to indices
     const classIndices = options?.classesOfInterest
       ? options.classesOfInterest.map((label) => {
           const labelStr = String(label);
@@ -297,39 +285,14 @@ export class InstanceSegmentationModule<
         })
       : [];
 
-    // Measure inference time
-    const startTime = performance.now();
-    const nativeResult = await this.nativeModule.generate(
+    return await this.nativeModule.generate(
       imageSource,
       confidenceThreshold,
       iouThreshold,
       maxInstances,
       classIndices,
       returnMaskAtOriginalResolution,
-      inputSize // Pass inputSize as number instead of methodName as string
+      inputSize
     );
-    const endTime = performance.now();
-    const inferenceTime = endTime - startTime;
-
-    console.log(
-      `[Instance Segmentation] Inference completed in ${inferenceTime.toFixed(2)}ms | Input size: ${inputSize}x${inputSize} | Detected: ${nativeResult.length} instances`
-    );
-
-    // Convert label indices back to label names
-    // YOLO outputs 0-indexed class IDs, but COCO labels are 1-indexed, so add 1
-    const reverseLabelMap = Object.entries(
-      this.labelMap as Record<string, number>
-    ).reduce(
-      (acc, [key, value]) => {
-        acc[value as number] = key;
-        return acc;
-      },
-      {} as Record<number, string>
-    );
-
-    return nativeResult.map((instance: any) => ({
-      ...instance,
-      label: reverseLabelMap[instance.label + 1] || `UNKNOWN_${instance.label}`,
-    })) as SegmentedInstance<ResolveLabels<T>>[];
   }
 }
diff --git a/packages/react-native-executorch/src/types/instanceSegmentation.ts b/packages/react-native-executorch/src/types/instanceSegmentation.ts
index e235f2bdaa..6ec5b9d992 100644
--- a/packages/react-native-executorch/src/types/instanceSegmentation.ts
+++ b/packages/react-native-executorch/src/types/instanceSegmentation.ts
@@ -25,42 +25,6 @@ export interface SegmentedInstance<L extends LabelEnum> {
   instanceId: number;
 }
 
-/**
- * Preprocessor configuration for instance segmentation models.
- *
- * @category Types
- */
-export interface PreprocessorConfig {
-  /**
-   * Mean values for normalization [R, G, B]. Applied as: (pixel / 255.0 - mean) / std
-   */
-  normMean?: [number, number, number];
-  /**
-   * Standard deviation values for normalization [R, G, B].
-   */
-  normStd?: [number, number, number];
-}
-
-/**
- * Postprocessor configuration for instance segmentation models.
- *
- * @category Types
- */
-export interface PostprocessorConfig {
-  /**
-   * Default confidence threshold for this model.
-   */
-  defaultConfidenceThreshold?: number;
-  /**
-   * Default IoU threshold for NMS for this model.
-   */
-  defaultIouThreshold?: number;
-  /**
-   * Whether to apply Non-Maximum Suppression (NMS). Default: true
-   */
-  applyNMS?: boolean;
-}
-
 /**
  * Options for instance segmentation forward pass.
  *
@@ -75,7 +39,7 @@ export interface InstanceSegmentationOptions<L extends LabelEnum> {
   confidenceThreshold?: number;
   /**
    * IoU threshold for non-maximum suppression.
-   * Defaults to model's defaultIouThreshold (typically 0.45).
+   * Defaults to model's defaultIouThreshold (typically 0.5).
    */
   iouThreshold?: number;
   /**
@@ -91,7 +55,7 @@ export interface InstanceSegmentationOptions<L extends LabelEnum> {
    */
   returnMaskAtOriginalResolution?: boolean;
   /**
-   * Input size for the model (e.g., 384, 416, 512, 640, 1024).
+   * Input size for the model (e.g., 384, 512, 640).
    * Must be one of the model's availableInputSizes.
    * Defaults to model's defaultInputSize.
    */
@@ -99,20 +63,20 @@ export interface InstanceSegmentationOptions<L extends LabelEnum> {
 }
 
 /**
- * Configuration for custom instance segmentation model.
+ * Configuration for a custom instance segmentation model.
  *
  * @typeParam T - The {@link LabelEnum} type for the model.
- * @property labelMap - The enum-like object mapping class names to indices
- * @property availableInputSizes - Array of supported input sizes (e.g., [384, 416, 512, 640, 1024])
- * @property defaultInputSize - Default input size to use if not specified
- * @property preprocessorConfig - Optional preprocessing configuration (normalization, etc.)
- * @property postprocessorConfig - Postprocessing configuration (thresholds, NMS, etc.)
  * @category Types
  */
 export type InstanceSegmentationConfig<T extends LabelEnum> = {
   labelMap: T;
-  preprocessorConfig?: PreprocessorConfig;
-  postprocessorConfig: PostprocessorConfig;
+  preprocessorConfig?: {
+    normMean?: [number, number, number];
+    normStd?: [number, number, number];
+  };
+  postprocessorConfig?: { applyNMS?: boolean };
+  defaultConfidenceThreshold?: number;
+  defaultIouThreshold?: number;
 } & (
   | {
       availableInputSizes: readonly number[];
@@ -124,7 +88,6 @@ export type InstanceSegmentationConfig<T extends LabelEnum> = {
     }
 );
 
-/// We would bind it here - but we need a deafult conf for yolo to be applied instead of
 /**
  * Per-model config for {@link InstanceSegmentationModule.fromModelName}.
  * Each model name maps to its required fields.

From cef800705aa7c0847b75b2e55a0596da2c7aefcf Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 9 Mar 2026 19:06:27 +0100
Subject: [PATCH 15/56] Change typedoc links

---
 .../computer_vision/InstanceSegmentationModule.ts    |  6 +++---
 .../src/types/instanceSegmentation.ts                | 12 ++++++------
 2 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index 1ab8afc294..0d618c55d1 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -19,7 +19,7 @@ const YOLO_SEG_CONFIG: InstanceSegmentationConfig<typeof CocoLabel> = {
   defaultConfidenceThreshold: 0.5,
   defaultIouThreshold: 0.5,
   postprocessorConfig: {
-    applyNMS: true,
+    applyNMS: false,
   },
 };
 
@@ -50,7 +50,7 @@ const ModelConfigs = {
 type ModelConfigsType = typeof ModelConfigs;
 
 /**
- * Resolves the {@link LabelEnum} for a given built-in model name.
+ * Resolves the label map type for a given built-in model name.
  *
  * @typeParam M - A built-in model name from {@link InstanceSegmentationModelName}.
  *
@@ -77,7 +77,7 @@ type ResolveLabels<T extends InstanceSegmentationModelName | LabelEnum> =
  * - `yolo26n-seg`, `yolo26s-seg`, `yolo26m-seg`, `yolo26l-seg`, `yolo26x-seg` - YOLO models with COCO labels (80 classes)
  *
  * @typeParam T - Either a pre-configured model name from {@link InstanceSegmentationModelName}
- *   or a custom {@link LabelEnum} label map.
+ *   or a custom label map conforming to {@link LabelEnum}.
  *
  * @category Typescript API
  *
diff --git a/packages/react-native-executorch/src/types/instanceSegmentation.ts b/packages/react-native-executorch/src/types/instanceSegmentation.ts
index 6ec5b9d992..d66ccff5e7 100644
--- a/packages/react-native-executorch/src/types/instanceSegmentation.ts
+++ b/packages/react-native-executorch/src/types/instanceSegmentation.ts
@@ -5,7 +5,7 @@ import { Bbox } from './objectDetection';
 /**
  * Represents a single detected instance in instance segmentation output.
  *
- * @typeParam L - The {@link LabelEnum} type for the model.
+ * @typeParam L - The label map type for the model, must conform to {@link LabelEnum}.
  * @category Types
  * @property {Bbox} bbox - The bounding box of the instance.
  * @property {Uint8Array} mask - Binary mask (0 or 1) representing the instance.
@@ -28,7 +28,7 @@ export interface SegmentedInstance<L extends LabelEnum> {
 /**
  * Options for instance segmentation forward pass.
  *
- * @typeParam L - The {@link LabelEnum} type for the model.
+ * @typeParam L - The label map type for the model, must conform to {@link LabelEnum}.
  * @category Types
  */
 export interface InstanceSegmentationOptions<L extends LabelEnum> {
@@ -63,9 +63,9 @@ export interface InstanceSegmentationOptions<L extends LabelEnum> {
 }
 
 /**
- * Configuration for a custom instance segmentation model.
+ * Configuration for an instance segmentation model.
  *
- * @typeParam T - The {@link LabelEnum} type for the model.
+ * @typeParam T - The label map type for the model, must conform to {@link LabelEnum}.
  * @category Types
  */
 export type InstanceSegmentationConfig<T extends LabelEnum> = {
@@ -137,7 +137,7 @@ export interface InstanceSegmentationProps<
  * Return type for the `useInstanceSegmentation` hook.
  * Manages the state and operations for instance segmentation models.
  *
- * @typeParam L - The {@link LabelEnum} representing the model's class labels.
+ * @typeParam L - The label map type for the model, must conform to {@link LabelEnum}.
  *
  * @category Types
  */
@@ -166,7 +166,7 @@ export interface InstanceSegmentationType<L extends LabelEnum> {
    * Executes the model's forward pass to perform instance segmentation on the provided image.
    * @param imageSource - A string representing the image source (e.g., a file path, URI, or base64 string) to be processed.
    * @param options - Optional configuration for the segmentation process.
-   * @returns A Promise resolving to an array of instance masks.
+   * @returns A Promise resolving to an array of {@link SegmentedInstance} objects.
    * @throws {RnExecutorchError} If the model is not loaded or is currently processing another image.
    */
   forward: (

From e5680695a2b83356d43ccb64659badd3ff32fa4e Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 9 Mar 2026 22:32:57 +0100
Subject: [PATCH 16/56] Add docs

---
 .../components/ImageWithMasks.tsx             |  29 ++--
 docs/docs/02-benchmarks/memory-usage.md       |   2 +-
 .../useInstanceSegmentation.md                | 130 ++++++++++++++++++
 .../InstanceSegmentationModule.md             | 111 +++++++++++++++
 4 files changed, 260 insertions(+), 12 deletions(-)
 create mode 100644 docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
 create mode 100644 docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md

diff --git a/apps/computer-vision/components/ImageWithMasks.tsx b/apps/computer-vision/components/ImageWithMasks.tsx
index 14e57f946b..c4a3630603 100644
--- a/apps/computer-vision/components/ImageWithMasks.tsx
+++ b/apps/computer-vision/components/ImageWithMasks.tsx
@@ -108,17 +108,24 @@ export default function ImageWithMasks({
       {instances.length > 0 && (
         <View style={styles.overlay}>
           <Canvas style={styles.canvas}>
-            {maskImages.map((maskImg, idx) => (
-              <SkiaImage
-                key={`mask-${idx}`}
-                image={maskImg}
-                fit="contain"
-                x={0}
-                y={0}
-                width={layout.width}
-                height={layout.height}
-              />
-            ))}
+            {maskImages.map((maskImg, idx) => {
+              const inst = instances[idx];
+              const mx = inst.bbox.x1 * scale + offsetX;
+              const my = inst.bbox.y1 * scale + offsetY;
+              const mw = (inst.bbox.x2 - inst.bbox.x1) * scale;
+              const mh = (inst.bbox.y2 - inst.bbox.y1) * scale;
+              return (
+                <SkiaImage
+                  key={`mask-${idx}`}
+                  image={maskImg}
+                  fit="fill"
+                  x={mx}
+                  y={my}
+                  width={mw}
+                  height={mh}
+                />
+              );
+            })}
 
             {instances.map((instance, idx) => {
               const color = INSTANCE_COLORS[idx % INSTANCE_COLORS.length];
diff --git a/docs/docs/02-benchmarks/memory-usage.md b/docs/docs/02-benchmarks/memory-usage.md
index 918ad16317..23200933e5 100644
--- a/docs/docs/02-benchmarks/memory-usage.md
+++ b/docs/docs/02-benchmarks/memory-usage.md
@@ -170,7 +170,7 @@ with higher resolutions.
 ## Instance Segmentation
 
 :::warning
-Data presented in the following sections is based on inference with forward_1024 method.
+Data presented in the following sections is based on inference with forward_640 method.
 :::
 
 | Model       | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
diff --git a/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md b/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
new file mode 100644
index 0000000000..7f25d8fbb4
--- /dev/null
+++ b/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
@@ -0,0 +1,130 @@
+---
+title: useInstanceSegmentation
+---
+
+Instance segmentation is a computer vision technique that detects individual objects within an image and produces a per-pixel segmentation mask for each one. Unlike object detection (which only returns bounding boxes), instance segmentation provides precise object boundaries. React Native ExecuTorch offers a dedicated hook `useInstanceSegmentation` for this task.
+
+:::warning
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/instance-segmentation-68d0ea936cd0906843cbba7d).
+:::
+
+## API Reference
+
+- For detailed API Reference for `useInstanceSegmentation` see: [`useInstanceSegmentation` API Reference](../../06-api-reference/functions/useInstanceSegmentation.md).
+
+## High Level Overview
+
+```typescript
+import { useInstanceSegmentation } from 'react-native-executorch';
+
+const model = useInstanceSegmentation({
+  model: {
+    modelName: 'yolo26n-seg',
+    modelSource: 'https://huggingface.co/.../yolo26n-seg.pte',
+  },
+});
+
+const imageUri = 'file:///Users/.../photo.jpg';
+
+try {
+  const instances = await model.forward(imageUri);
+  // instances is an array of SegmentedInstance objects
+} catch (error) {
+  console.error(error);
+}
+```
+
+### Arguments
+
+`useInstanceSegmentation` takes [`InstanceSegmentationProps`](../../06-api-reference/interfaces/InstanceSegmentationProps.md) that consists of:
+
+- `model` - An object containing:
+  - `modelName` - The name of a built-in model. See [`InstanceSegmentationModelSources`](../../06-api-reference/interfaces/InstanceSegmentationProps.md) for the list of supported models.
+  - `modelSource` - The location of the model binary (a URL or a bundled resource).
+- An optional flag [`preventLoad`](../../06-api-reference/interfaces/InstanceSegmentationProps.md#preventload) which prevents auto-loading of the model.
+
+The hook is generic over the model config — TypeScript automatically infers the correct label type based on the `modelName` you provide. No explicit generic parameter is needed.
+
+For more information on loading resources, take a look at [loading models](../../01-fundamentals/02-loading-models.md) page.
+
+### Returns
+
+`useInstanceSegmentation` returns an [`InstanceSegmentationType`](../../06-api-reference/interfaces/InstanceSegmentationType.md) object containing:
+
+- `isReady` - Whether the model is loaded and ready to process images.
+- `isGenerating` - Whether the model is currently processing an image.
+- `error` - An error object if the model failed to load or encountered a runtime error.
+- `downloadProgress` - A value between 0 and 1 representing the download progress of the model binary.
+- `forward` - A function to run inference on an image.
+
+## Running the model
+
+To run the model, use the [`forward`](../../06-api-reference/interfaces/InstanceSegmentationType.md#forward) method. It accepts two arguments:
+
+- `imageSource` (required) - The image to process. Can be a remote URL, a local file URI, or a base64-encoded image (whole URI or only raw base64).
+- `options` (optional) - An [`InstanceSegmentationOptions`](../../06-api-reference/interfaces/InstanceSegmentationOptions.md) object with the following fields:
+  - `confidenceThreshold` - Minimum confidence score for including instances. Defaults to the model's configured threshold (typically `0.5`).
+  - `iouThreshold` - IoU threshold for non-maximum suppression. Defaults to `0.5`.
+  - `maxInstances` - Maximum number of instances to return. Defaults to `100`.
+  - `classesOfInterest` - Filter results to include only specific classes (e.g. `['PERSON', 'CAR']`).
+  - `returnMaskAtOriginalResolution` - Whether to resize masks to the original image resolution. Defaults to `true`.
+  - `inputSize` - Input size for the model (e.g. `384`, `512`, `640`). Must be one of the model's available input sizes. If the model has only one forward method (i.e. no `availableInputSizes` configured), this option is not needed.
+
+`forward` returns a promise resolving to an array of [`SegmentedInstance`](../../06-api-reference/interfaces/SegmentedInstance.md) objects, each containing:
+
+- `bbox` - A [`Bbox`](../../06-api-reference/interfaces/Bbox.md) object with `x1`, `y1` (top-left corner) and `x2`, `y2` (bottom-right corner) coordinates in the original image's pixel space.
+- `label` - The class name of the detected instance, typed to the label map of the chosen model.
+- `score` - The confidence score of the detection, between 0 and 1.
+- `mask` - A `Uint8Array` binary mask (0 or 1) representing the instance's segmentation.
+- `maskWidth` - Width of the mask array.
+- `maskHeight` - Height of the mask array.
+- `instanceId` - Unique identifier for this instance.
+
+## Example
+
+```typescript
+import { useInstanceSegmentation } from 'react-native-executorch';
+
+function App() {
+  const model = useInstanceSegmentation({
+    model: {
+      modelName: 'yolo26n-seg',
+      modelSource: 'https://huggingface.co/.../yolo26n-seg.pte',
+    },
+  });
+
+  const handleSegment = async () => {
+    if (!model.isReady) return;
+
+    const imageUri = 'file:///Users/.../photo.jpg';
+
+    try {
+      const instances = await model.forward(imageUri, {
+        confidenceThreshold: 0.5,
+        inputSize: 640,
+      });
+
+      for (const instance of instances) {
+        console.log('Label:', instance.label);
+        console.log('Score:', instance.score);
+        console.log('Bounding box:', instance.bbox);
+        console.log('Mask size:', instance.maskWidth, 'x', instance.maskHeight);
+      }
+    } catch (error) {
+      console.error(error);
+    }
+  };
+
+  // ...
+}
+```
+
+## Supported models
+
+| Model       | Number of classes | Class list                                               | Available input sizes |
+| ----------- | ----------------- | -------------------------------------------------------- | --------------------- |
+| yolo26n-seg | 80                | [COCO](../../06-api-reference/enumerations/CocoLabel.md) | 384, 512, 640         |
+| yolo26s-seg | 80                | [COCO](../../06-api-reference/enumerations/CocoLabel.md) | 384, 512, 640         |
+| yolo26m-seg | 80                | [COCO](../../06-api-reference/enumerations/CocoLabel.md) | 384, 512, 640         |
+| yolo26l-seg | 80                | [COCO](../../06-api-reference/enumerations/CocoLabel.md) | 384, 512, 640         |
+| yolo26x-seg | 80                | [COCO](../../06-api-reference/enumerations/CocoLabel.md) | 384, 512, 640         |
diff --git a/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md b/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md
new file mode 100644
index 0000000000..b1c830f152
--- /dev/null
+++ b/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md
@@ -0,0 +1,111 @@
+---
+title: InstanceSegmentationModule
+---
+
+TypeScript API implementation of the [useInstanceSegmentation](../../03-hooks/02-computer-vision/useInstanceSegmentation.md) hook.
+
+## API Reference
+
+- For detailed API Reference for `InstanceSegmentationModule` see: [`InstanceSegmentationModule` API Reference](../../06-api-reference/classes/InstanceSegmentationModule.md).
+
+## High Level Overview
+
+```typescript
+import { InstanceSegmentationModule } from 'react-native-executorch';
+
+const imageUri = 'path/to/image.png';
+
+// Creating an instance from a built-in model
+const segmentation = await InstanceSegmentationModule.fromModelName({
+  modelName: 'yolo26n-seg',
+  modelSource: 'https://huggingface.co/.../yolo26n-seg.pte',
+});
+
+// Running the model
+const instances = await segmentation.forward(imageUri);
+```
+
+### Methods
+
+All methods of `InstanceSegmentationModule` are explained in details here: [`InstanceSegmentationModule` API Reference](../../06-api-reference/classes/InstanceSegmentationModule.md)
+
+## Loading the model
+
+There are two ways to create an `InstanceSegmentationModule`:
+
+### From a built-in model
+
+Use [`fromModelName`](../../06-api-reference/classes/InstanceSegmentationModule.md#frommodelname) for pre-configured models. It accepts:
+
+- `config` - An object containing:
+  - `modelName` - The name of a built-in model (e.g. `'yolo26n-seg'`).
+  - `modelSource` - Location of the model binary (a URL or a bundled resource).
+- `onDownloadProgress` (optional) - Callback to track download progress, receiving a value between 0 and 1.
+
+```typescript
+const segmentation = await InstanceSegmentationModule.fromModelName({
+  modelName: 'yolo26n-seg',
+  modelSource: 'https://huggingface.co/.../yolo26n-seg.pte',
+});
+```
+
+### From a custom config
+
+Use [`fromCustomConfig`](../../06-api-reference/classes/InstanceSegmentationModule.md#fromcustomconfig) for custom-exported models with your own label map. It accepts:
+
+- `modelSource` - Location of the model binary.
+- `config` - An [`InstanceSegmentationConfig`](../../06-api-reference/interfaces/InstanceSegmentationConfig.md) object with:
+  - `labelMap` - An enum-like object mapping class names to indices.
+  - `preprocessorConfig` (optional) - Normalization parameters (`normMean`, `normStd`).
+  - `postprocessorConfig` (optional) - Postprocessing settings (`applyNMS`).
+  - `defaultConfidenceThreshold` (optional) - Default confidence threshold.
+  - `defaultIouThreshold` (optional) - Default IoU threshold.
+  - `availableInputSizes` and `defaultInputSize` (optional) - Supported input sizes and the default.
+- `onDownloadProgress` (optional) - Callback to track download progress.
+
+```typescript
+const MyLabels = { GRAPE_GREEN: 0, GRAPE_RED: 1, LEAF: 2 } as const;
+
+const segmentation = await InstanceSegmentationModule.fromCustomConfig(
+  'https://huggingface.co/.../grape_seg.pte',
+  {
+    labelMap: MyLabels,
+    availableInputSizes: [640],
+    defaultInputSize: 640,
+    defaultConfidenceThreshold: 0.4,
+    postprocessorConfig: { applyNMS: true },
+  }
+);
+```
+
+For more information on loading resources, take a look at [loading models](../../01-fundamentals/02-loading-models.md) page.
+
+## Custom model output contract
+
+If you want to use a custom-exported model, it must conform to the following output contract:
+
+The model must produce **3 output tensors**:
+
+| Tensor      | Shape          | Description                                                     |
+| ----------- | -------------- | --------------------------------------------------------------- |
+| bboxes      | `[1, N, 4]`    | Bounding boxes as `[x1, y1, x2, y2]` in model input coordinates |
+| scores      | `[1, N, 2]`    | `[max_score, class_id]` — scores must be post-sigmoid           |
+| mask_logits | `[1, N, H, W]` | Per-detection binary mask logits — pre-sigmoid                  |
+
+### Method naming convention
+
+- If the model supports **multiple input sizes**, it must expose separate methods named `forward_{inputSize}` (e.g. `forward_384`, `forward_512`, `forward_640`).
+- If the model supports **only one input size**, it should expose a single `forward` method.
+
+## Running the model
+
+To run the model, use the [`forward`](../../06-api-reference/classes/InstanceSegmentationModule.md#forward) method. It accepts two arguments:
+
+- `imageSource` (required) - The image to process. Can be a remote URL, a local file URI, or a base64-encoded image (whole URI or only raw base64).
+- `options` (optional) - An [`InstanceSegmentationOptions`](../../06-api-reference/interfaces/InstanceSegmentationOptions.md) object for configuring the segmentation (confidence threshold, IoU threshold, input size, classes of interest, etc.).
+
+The method returns a promise resolving to an array of [`SegmentedInstance`](../../06-api-reference/interfaces/SegmentedInstance.md) objects. Each object contains bounding box coordinates, a binary segmentation mask, the label of the detected instance, and the confidence score.
+
+## Managing memory
+
+The module is a regular JavaScript object, and as such its lifespan will be managed by the garbage collector. In most cases this should be enough, and you should not worry about freeing the memory of the module yourself, but in some cases you may want to release the memory occupied by the module before the garbage collector steps in. In this case use the method [`delete`](../../06-api-reference/classes/InstanceSegmentationModule.md#delete) on the module object you will no longer use, and want to remove from the memory. Note that you cannot use [`forward`](../../06-api-reference/classes/InstanceSegmentationModule.md#forward) after [`delete`](../../06-api-reference/classes/InstanceSegmentationModule.md#delete) unless you load the module again.

From 907793dc7baab0e4a6b9e6e6fff663bd35881bd2 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 9 Mar 2026 22:34:15 +0100
Subject: [PATCH 17/56] Speed up mask processing

---
 .../BaseInstanceSegmentation.cpp              | 141 +++++++++++++-----
 .../BaseInstanceSegmentation.h                |   6 +-
 .../InstanceSegmentationModule.ts             |  48 ++++--
 3 files changed, 135 insertions(+), 60 deletions(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index ce03436771..d2856e95bf 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -134,6 +134,7 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
       static_cast<const float *>(scoresTensor.const_data_ptr());
   const float *maskData =
       static_cast<const float *>(maskTensor.const_data_ptr());
+  int32_t processed = 0;
 
   for (int i = 0; i < N; ++i) {
     float x1 = bboxData[i * 4 + 0];
@@ -157,43 +158,91 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
               ". Ensure the labelMap covers all model output classes.");
     }
 
-    // Mask logits are pre-computed — just sigmoid + threshold
+    // Scale bbox to original image coordinates
+    float origX1 = x1 * widthRatio;
+    float origY1 = y1 * heightRatio;
+    float origX2 = x2 * widthRatio;
+    float origY2 = y2 * heightRatio;
+
+    int bboxW = static_cast<int>(std::round(origX2 - origX1));
+    int bboxH = static_cast<int>(std::round(origY2 - origY1));
+
+    if (bboxW <= 0 || bboxH <= 0)
+      continue;
+
+    // Wrap logits in cv::Mat for vectorized operations
     const float *logits = maskData + (i * maskH * maskW);
-    std::vector<uint8_t> binaryMask(maskH * maskW);
-    for (int j = 0; j < maskH * maskW; j++) {
-      float v = 1.0f / (1.0f + std::exp(-logits[j]));
-      binaryMask[j] = (v > 0.5f) ? 1 : 0;
-    }
+    cv::Mat logitsMat(maskH, maskW, CV_32FC1, const_cast<float *>(logits));
 
-    x1 *= widthRatio;
-    y1 *= heightRatio;
-    x2 *= widthRatio;
-    y2 *= heightRatio;
+    // Float bounds in low-res mask space
+    float mx1F = x1 * maskW / modelInputSize.width;
+    float my1F = y1 * maskH / modelInputSize.height;
+    float mx2F = x2 * maskW / modelInputSize.width;
+    float my2F = y2 * maskH / modelInputSize.height;
 
-    int finalMaskWidth = maskW;
-    int finalMaskHeight = maskH;
-    std::vector<uint8_t> finalMask = binaryMask;
+    // Exact integer bounds (bbox region in mask coordinates)
+    int mx1 = std::max(0, static_cast<int>(std::floor(mx1F)));
+    int my1 = std::max(0, static_cast<int>(std::floor(my1F)));
+    int mx2 = std::min(maskW, static_cast<int>(std::ceil(mx2F)));
+    int my2 = std::min(maskH, static_cast<int>(std::ceil(my2F)));
+
+    if (mx2 <= mx1 || my2 <= my1)
+      continue;
+
+    cv::Mat finalBinaryMat;
+    int finalMaskWidth = bboxW;
+    int finalMaskHeight = bboxH;
 
     if (returnMaskAtOriginalResolution) {
-      cv::Mat maskMat(maskH, maskW, CV_8UC1, binaryMask.data());
-      cv::Mat resizedMaskMat;
-      cv::resize(maskMat, resizedMaskMat, originalSize, 0, 0,
-                 cv::INTER_NEAREST);
-      finalMaskWidth = originalSize.width;
-      finalMaskHeight = originalSize.height;
-      for (int y = 0; y < finalMaskHeight; y++)
-        for (int x = 0; x < finalMaskWidth; x++)
-          if (x < x1 || x > x2 || y < y1 || y > y2)
-            resizedMaskMat.data[y * finalMaskWidth + x] = 0;
-      finalMask.assign(resizedMaskMat.data,
-                       resizedMaskMat.data + resizedMaskMat.total());
+      // 1px padding for warpAffine interpolation (prevents edge artifacts)
+      int pmx1 = std::max(0, mx1 - 1);
+      int pmy1 = std::max(0, my1 - 1);
+      int pmx2 = std::min(maskW, mx2 + 1);
+      int pmy2 = std::min(maskH, my2 + 1);
+
+      cv::Mat croppedLogits =
+          logitsMat(cv::Rect(pmx1, pmy1, pmx2 - pmx1, pmy2 - pmy1));
+      cv::Mat probMat;
+      cv::exp(-croppedLogits, probMat);
+      probMat = 255.0f / (1.0f + probMat);
+      probMat.convertTo(probMat, CV_8UC1);
+
+      // Affine matrix mapping padded crop -> bbox in original image space.
+      // Padding pixels fall outside the output and are clipped naturally.
+      float maskToOrigX = static_cast<float>(originalSize.width) / maskW;
+      float maskToOrigY = static_cast<float>(originalSize.height) / maskH;
+
+      cv::Mat M = (cv::Mat_<float>(2, 3) << maskToOrigX, 0,
+                   (pmx1 * maskToOrigX - origX1), 0, maskToOrigY,
+                   (pmy1 * maskToOrigY - origY1));
+
+      cv::Mat warpedMat;
+      cv::warpAffine(probMat, warpedMat, M, cv::Size(bboxW, bboxH),
+                     cv::INTER_LINEAR);
+
+      cv::threshold(warpedMat, finalBinaryMat, 127, 1, cv::THRESH_BINARY);
+    } else {
+      // No padding needed — no interpolation, just threshold
+      cv::Mat croppedLogits =
+          logitsMat(cv::Rect(mx1, my1, mx2 - mx1, my2 - my1));
+      cv::Mat probMat;
+      cv::exp(-croppedLogits, probMat);
+      probMat = 255.0f / (1.0f + probMat);
+      probMat.convertTo(probMat, CV_8UC1);
+
+      cv::threshold(probMat, finalBinaryMat, 127, 1, cv::THRESH_BINARY);
+      finalMaskWidth = finalBinaryMat.cols;
+      finalMaskHeight = finalBinaryMat.rows;
     }
 
+    std::vector<uint8_t> finalMask(
+        finalBinaryMat.data, finalBinaryMat.data + finalBinaryMat.total());
+
     types::InstanceMask instance;
-    instance.x1 = x1;
-    instance.y1 = y1;
-    instance.x2 = x2;
-    instance.y2 = y2;
+    instance.x1 = origX1;
+    instance.y1 = origY1;
+    instance.x2 = origX2;
+    instance.y2 = origY2;
     instance.mask = std::move(finalMask);
     instance.maskWidth = finalMaskWidth;
     instance.maskHeight = finalMaskHeight;
@@ -201,6 +250,7 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
     instance.score = score;
     instance.instanceId = i;
     instances.push_back(std::move(instance));
+    ++processed;
   }
 
   // Finalize: NMS + limit + renumber
@@ -222,18 +272,27 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
 std::vector<types::InstanceMask> BaseInstanceSegmentation::generate(
     std::string imageSource, double confidenceThreshold, double iouThreshold,
     int maxInstances, std::vector<int32_t> classIndices,
-    bool returnMaskAtOriginalResolution, int32_t inputSize) {
+    bool returnMaskAtOriginalResolution, std::string methodName) {
 
-  std::string methodName = getMethodName(inputSize);
-  if (currentlyLoadedMethod_ == "") {
-    currentlyLoadedMethod_ = methodName;
-  } else {
-    module_->unload_method(currentlyLoadedMethod_);
+  if (methodName.empty()) {
+    throw RnExecutorchError(
+        RnExecutorchErrorCode::InvalidConfig,
+        "methodName cannot be empty. Use 'forward' for single-method models "
+        "or 'forward_{inputSize}' for multi-method models.");
+  }
+
+  if (currentlyLoadedMethod_ != methodName) {
+    if (!currentlyLoadedMethod_.empty()) {
+      module_->unload_method(currentlyLoadedMethod_);
+    }
     currentlyLoadedMethod_ = methodName;
+    module_->load_method(methodName);
   }
-  module_->load_method(methodName);
+
+  auto inputShapes = getAllInputShapes(methodName);
+  std::vector<int32_t> inputShape = inputShapes[0];
+  int32_t inputSize = inputShape[inputShape.size() - 1];
   cv::Size modelInputSize(inputSize, inputSize);
-  std::vector<int32_t> inputShape = {1, 3, inputSize, inputSize};
 
   auto [inputTensor, originalSize] = image_processing::readImageToTensor(
       imageSource, inputShape, false, normMean_, normStd_);
@@ -247,9 +306,11 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::generate(
             methodName + "' is valid.");
   }
 
-  return postprocess(forwardResult.get(), originalSize, modelInputSize,
-                     confidenceThreshold, iouThreshold, maxInstances,
-                     classIndices, returnMaskAtOriginalResolution);
+  auto result = postprocess(forwardResult.get(), originalSize, modelInputSize,
+                            confidenceThreshold, iouThreshold, maxInstances,
+                            classIndices, returnMaskAtOriginalResolution);
+
+  return result;
 }
 
 } // namespace rnexecutorch::models::instance_segmentation
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index 2c4fdcf83a..5bd0a24327 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -27,7 +27,7 @@ class BaseInstanceSegmentation : public BaseModel {
   generate(std::string imageSource, double confidenceThreshold,
            double iouThreshold, int maxInstances,
            std::vector<int32_t> classIndices,
-           bool returnMaskAtOriginalResolution, int32_t inputSize);
+           bool returnMaskAtOriginalResolution, std::string methodName);
 
 private:
   std::vector<types::InstanceMask>
@@ -44,10 +44,6 @@ class BaseInstanceSegmentation : public BaseModel {
   nonMaxSuppression(std::vector<types::InstanceMask> instances,
                     double iouThreshold);
 
-  std::string getMethodName(int32_t inputSize) const {
-    return "forward_" + std::to_string(inputSize);
-  }
-
   // Member variables
   std::optional<cv::Scalar> normMean_;
   std::optional<cv::Scalar> normStd_;
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index 0d618c55d1..d5cf6ea054 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -19,18 +19,25 @@ const YOLO_SEG_CONFIG: InstanceSegmentationConfig<typeof CocoLabel> = {
   defaultConfidenceThreshold: 0.5,
   defaultIouThreshold: 0.5,
   postprocessorConfig: {
-    applyNMS: false,
+    applyNMS: true,
   },
 };
 
 /**
- * Builds an ordered label name array from a label map, indexed by class ID.
- * Index i corresponds to class index i produced by the model.
+ * Builds an ordered label name array from a label map, indexed by model output
+ * class ID. Subtracts the minimum label value so that 0-indexed model outputs
+ * map correctly (e.g. COCO labels start at 1, but models output 0 for the
+ * first class).
  */
 function buildLabelNames(labelMap: LabelEnum): string[] {
-  const allLabelNames: string[] = [];
+  const entries: [string, number][] = [];
   for (const [name, value] of Object.entries(labelMap)) {
-    if (typeof value === 'number') allLabelNames[value] = name;
+    if (typeof value === 'number') entries.push([name, value]);
+  }
+  const minValue = Math.min(...entries.map(([, v]) => v));
+  const allLabelNames: string[] = [];
+  for (const [name, value] of entries) {
+    allLabelNames[value - minValue] = name;
   }
   for (let i = 0; i < allLabelNames.length; i++) {
     if (allLabelNames[i] == null) allLabelNames[i] = '';
@@ -142,12 +149,19 @@ export class InstanceSegmentationModule<
       );
     }
 
+    const labelNames = buildLabelNames(modelConfig.labelMap);
+    console.log(
+      '[InstanceSegmentation] Label names:',
+      labelNames.length,
+      'classes'
+    );
+
     const nativeModule = global.loadInstanceSegmentation(
       path,
       modelConfig.preprocessorConfig?.normMean || [],
       modelConfig.preprocessorConfig?.normStd || [],
       modelConfig.postprocessorConfig?.applyNMS ?? true,
-      buildLabelNames(modelConfig.labelMap)
+      labelNames
     );
 
     return new InstanceSegmentationModule<InstanceModelNameOf<C>>(
@@ -258,15 +272,9 @@ export class InstanceSegmentationModule<
 
     const inputSize = options?.inputSize ?? this.modelConfig.defaultInputSize;
 
-    if (inputSize === undefined) {
-      throw new RnExecutorchError(
-        RnExecutorchErrorCode.InvalidArgument,
-        'inputSize must be specified in options when the model config does not define availableInputSizes'
-      );
-    }
-
     if (
       this.modelConfig.availableInputSizes &&
+      inputSize !== undefined &&
       !this.modelConfig.availableInputSizes.includes(
         inputSize as (typeof this.modelConfig.availableInputSizes)[number]
       )
@@ -277,6 +285,9 @@ export class InstanceSegmentationModule<
       );
     }
 
+    const methodName =
+      inputSize !== undefined ? `forward_${inputSize}` : 'forward';
+
     const classIndices = options?.classesOfInterest
       ? options.classesOfInterest.map((label) => {
           const labelStr = String(label);
@@ -285,14 +296,21 @@ export class InstanceSegmentationModule<
         })
       : [];
 
-    return await this.nativeModule.generate(
+    const startTime = performance.now();
+    const result = await this.nativeModule.generate(
       imageSource,
       confidenceThreshold,
       iouThreshold,
       maxInstances,
       classIndices,
       returnMaskAtOriginalResolution,
-      inputSize
+      methodName
+    );
+    const inferenceTime = performance.now() - startTime;
+    console.log(
+      `[InstanceSegmentation] Inference: ${inferenceTime.toFixed(2)}ms | Method: ${methodName} | Detected: ${result.length} instances`
     );
+
+    return result;
   }
 }

From 1abc8da92e3a856602055fc4180f6d461eb7df2c Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Tue, 10 Mar 2026 11:30:37 +0100
Subject: [PATCH 18/56] Return class index, tweak mask drawing performance

---
 .../app/instance_segmentation/index.tsx       |  19 ++-
 .../components/ImageWithMasks.tsx             | 143 ++++++++++++------
 .../host_objects/JsiConversions.h             |   4 +-
 .../BaseInstanceSegmentation.cpp              |  18 +--
 .../BaseInstanceSegmentation.h                |   3 -
 .../models/instance_segmentation/Types.h      |   4 +-
 .../src/constants/commonVision.ts             |  88 +++++++++++
 packages/react-native-executorch/src/index.ts |   3 +-
 .../InstanceSegmentationModule.ts             |  91 ++++++-----
 .../src/types/instanceSegmentation.ts         |  16 ++
 10 files changed, 275 insertions(+), 114 deletions(-)

diff --git a/apps/computer-vision/app/instance_segmentation/index.tsx b/apps/computer-vision/app/instance_segmentation/index.tsx
index 5eb96929cc..633fa780e5 100644
--- a/apps/computer-vision/app/instance_segmentation/index.tsx
+++ b/apps/computer-vision/app/instance_segmentation/index.tsx
@@ -1,10 +1,7 @@
 import Spinner from '../../components/Spinner';
 import { BottomBar } from '../../components/BottomBar';
 import { getImage } from '../../utils';
-import {
-  useInstanceSegmentation,
-  YOLO26X_SEG,
-} from 'react-native-executorch';
+import { useInstanceSegmentation, YOLO26N_SEG } from 'react-native-executorch';
 import {
   View,
   StyleSheet,
@@ -15,7 +12,10 @@ import {
 import React, { useContext, useEffect, useState } from 'react';
 import { GeneratingContext } from '../../context';
 import ScreenWrapper from '../../ScreenWrapper';
-import ImageWithMasks from '../../components/ImageWithMasks';
+import ImageWithMasks, {
+  buildDisplayInstances,
+  DisplayInstance,
+} from '../../components/ImageWithMasks';
 
 const AVAILABLE_INPUT_SIZES = [384, 512, 640];
 
@@ -24,12 +24,12 @@ export default function InstanceSegmentationScreen() {
 
   const { isReady, isGenerating, downloadProgress, forward, error } =
     useInstanceSegmentation({
-      model: YOLO26X_SEG,
+      model: YOLO26N_SEG,
     });
 
   const [imageUri, setImageUri] = useState('');
   const [imageSize, setImageSize] = useState({ width: 0, height: 0 });
-  const [instances, setInstances] = useState<any[]>([]);
+  const [instances, setInstances] = useState<DisplayInstance[]>([]);
   const [selectedInputSize, setSelectedInputSize] = useState(
     AVAILABLE_INPUT_SIZES[0]
   );
@@ -61,7 +61,10 @@ export default function InstanceSegmentationScreen() {
         inputSize: selectedInputSize,
       });
 
-      setInstances(output);
+      // Convert raw masks → small Skia images immediately.
+      // Raw Uint8Array mask buffers (backed by native OwningArrayBuffer)
+      // go out of scope here and become eligible for GC right away.
+      setInstances(buildDisplayInstances(output));
     } catch (e) {
       console.error(e);
     }
diff --git a/apps/computer-vision/components/ImageWithMasks.tsx b/apps/computer-vision/components/ImageWithMasks.tsx
index c4a3630603..e1c3720cca 100644
--- a/apps/computer-vision/components/ImageWithMasks.tsx
+++ b/apps/computer-vision/components/ImageWithMasks.tsx
@@ -1,4 +1,4 @@
-import React, { useState } from 'react';
+import React, { useEffect, useState } from 'react';
 import { Image, StyleSheet, View, Text } from 'react-native';
 import {
   Canvas,
@@ -10,8 +10,6 @@ import {
   Rect,
   Group,
 } from '@shopify/react-native-skia';
-import type { SegmentedInstance } from 'react-native-executorch';
-import type { LabelEnum } from 'react-native-executorch';
 
 const INSTANCE_COLORS = [
   [255, 87, 51, 180],
@@ -26,39 +24,101 @@ const INSTANCE_COLORS = [
   [131, 51, 255, 180],
 ];
 
-interface Props {
-  imageUri: string;
-  instances: SegmentedInstance<LabelEnum>[];
-  imageWidth: number;
-  imageHeight: number;
+const MAX_MASK_DIM = 256;
+
+/** Display-only data — no raw mask buffers. */
+export interface DisplayInstance {
+  bbox: { x1: number; y1: number; x2: number; y2: number };
+  label: string;
+  score: number;
+  maskImage: SkImage;
+}
+
+/**
+ * Convert raw segmentation output into lightweight display instances.
+ * Call this eagerly (in the forward callback) so raw Uint8Array masks
+ * can be garbage-collected immediately.
+ */
+export function buildDisplayInstances(
+  rawInstances: {
+    bbox: { x1: number; y1: number; x2: number; y2: number };
+    mask: Uint8Array;
+    maskWidth: number;
+    maskHeight: number;
+    label: string | number;
+    score: number;
+  }[]
+): DisplayInstance[] {
+  return rawInstances
+    .map((inst, i) => {
+      const color = INSTANCE_COLORS[i % INSTANCE_COLORS.length];
+      const img = createMaskImage(
+        inst.mask,
+        inst.maskWidth,
+        inst.maskHeight,
+        color
+      );
+      if (!img) return null;
+      return {
+        bbox: inst.bbox,
+        label: String(inst.label),
+        score: inst.score,
+        maskImage: img,
+      };
+    })
+    .filter((d): d is DisplayInstance => d !== null);
 }
 
 function createMaskImage(
   mask: Uint8Array,
-  width: number,
-  height: number,
+  srcW: number,
+  srcH: number,
   color: number[]
 ): SkImage | null {
-  const pixels = new Uint8Array(width * height * 4);
-  for (let j = 0; j < mask.length; j++) {
-    if (mask[j] > 0) {
-      pixels[j * 4] = color[0];
-      pixels[j * 4 + 1] = color[1];
-      pixels[j * 4 + 2] = color[2];
-      pixels[j * 4 + 3] = color[3];
+  const downscale = Math.min(1, MAX_MASK_DIM / Math.max(srcW, srcH));
+  const dstW = Math.max(1, Math.round(srcW * downscale));
+  const dstH = Math.max(1, Math.round(srcH * downscale));
+
+  const pixels = new Uint8Array(dstW * dstH * 4);
+  const r = color[0],
+    g = color[1],
+    b = color[2],
+    a = color[3];
+
+  for (let dy = 0; dy < dstH; dy++) {
+    const sy = Math.min(Math.floor(dy / downscale), srcH - 1);
+    for (let dx = 0; dx < dstW; dx++) {
+      const sx = Math.min(Math.floor(dx / downscale), srcW - 1);
+      if (mask[sy * srcW + sx] > 0) {
+        const idx = (dy * dstW + dx) * 4;
+        pixels[idx] = r;
+        pixels[idx + 1] = g;
+        pixels[idx + 2] = b;
+        pixels[idx + 3] = a;
+      }
     }
   }
+
   const data = Skia.Data.fromBytes(pixels);
-  return Skia.Image.MakeImage(
+  const image = Skia.Image.MakeImage(
     {
-      width,
-      height,
+      width: dstW,
+      height: dstH,
       alphaType: AlphaType.Premul,
       colorType: ColorType.RGBA_8888,
     },
     data,
-    width * 4
+    dstW * 4
   );
+  data.dispose();
+  return image;
+}
+
+interface Props {
+  imageUri: string;
+  instances: DisplayInstance[];
+  imageWidth: number;
+  imageHeight: number;
 }
 
 export default function ImageWithMasks({
@@ -75,17 +135,12 @@ export default function ImageWithMasks({
   const offsetX = (layout.width - imageWidth * scale) / 2;
   const offsetY = (layout.height - imageHeight * scale) / 2;
 
-  const maskImages = instances
-    .map((instance, i) => {
-      const color = INSTANCE_COLORS[i % INSTANCE_COLORS.length];
-      return createMaskImage(
-        instance.mask,
-        instance.maskWidth,
-        instance.maskHeight,
-        color
-      );
-    })
-    .filter((img): img is SkImage => img !== null);
+  // Dispose Skia images when instances are replaced or on unmount
+  useEffect(() => {
+    return () => {
+      instances.forEach((inst) => inst.maskImage.dispose());
+    };
+  }, [instances]);
 
   return (
     <View
@@ -108,8 +163,7 @@ export default function ImageWithMasks({
       {instances.length > 0 && (
         <View style={styles.overlay}>
           <Canvas style={styles.canvas}>
-            {maskImages.map((maskImg, idx) => {
-              const inst = instances[idx];
+            {instances.map((inst, idx) => {
               const mx = inst.bbox.x1 * scale + offsetX;
               const my = inst.bbox.y1 * scale + offsetY;
               const mw = (inst.bbox.x2 - inst.bbox.x1) * scale;
@@ -117,7 +171,7 @@ export default function ImageWithMasks({
               return (
                 <SkiaImage
                   key={`mask-${idx}`}
-                  image={maskImg}
+                  image={inst.maskImage}
                   fit="fill"
                   x={mx}
                   y={my}
@@ -127,12 +181,12 @@ export default function ImageWithMasks({
               );
             })}
 
-            {instances.map((instance, idx) => {
+            {instances.map((inst, idx) => {
               const color = INSTANCE_COLORS[idx % INSTANCE_COLORS.length];
-              const bboxX = instance.bbox.x1 * scale + offsetX;
-              const bboxY = instance.bbox.y1 * scale + offsetY;
-              const bboxW = (instance.bbox.x2 - instance.bbox.x1) * scale;
-              const bboxH = (instance.bbox.y2 - instance.bbox.y1) * scale;
+              const bboxX = inst.bbox.x1 * scale + offsetX;
+              const bboxY = inst.bbox.y1 * scale + offsetY;
+              const bboxW = (inst.bbox.x2 - inst.bbox.x1) * scale;
+              const bboxH = (inst.bbox.y2 - inst.bbox.y1) * scale;
 
               return (
                 <Group key={`bbox-${idx}`}>
@@ -150,10 +204,10 @@ export default function ImageWithMasks({
             })}
           </Canvas>
 
-          {instances.map((instance, idx) => {
+          {instances.map((inst, idx) => {
             const color = INSTANCE_COLORS[idx % INSTANCE_COLORS.length];
-            const bboxX = instance.bbox.x1 * scale + offsetX;
-            const bboxY = instance.bbox.y1 * scale + offsetY;
+            const bboxX = inst.bbox.x1 * scale + offsetX;
+            const bboxY = inst.bbox.y1 * scale + offsetY;
 
             return (
               <View
@@ -168,8 +222,7 @@ export default function ImageWithMasks({
                 ]}
               >
                 <Text style={styles.labelText}>
-                  {String(instance.label) || 'Unknown'}{' '}
-                  {(instance.score * 100).toFixed(0)}%
+                  {inst.label || 'Unknown'} {(inst.score * 100).toFixed(0)}%
                 </Text>
               </View>
             );
diff --git a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
index d91f592aa5..b81e8f37f2 100644
--- a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
+++ b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
@@ -483,9 +483,7 @@ inline jsi::Value getJsiValue(
     instance.setProperty(runtime, "maskWidth", instances[i].maskWidth);
     instance.setProperty(runtime, "maskHeight", instances[i].maskHeight);
 
-    instance.setProperty(
-        runtime, "label",
-        jsi::String::createFromUtf8(runtime, instances[i].label));
+    instance.setProperty(runtime, "classIndex", instances[i].classIndex);
 
     instance.setProperty(runtime, "score", instances[i].score);
     instance.setProperty(runtime, "instanceId", instances[i].instanceId);
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index d2856e95bf..b188c0ac91 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -10,10 +10,8 @@ namespace rnexecutorch::models::instance_segmentation {
 BaseInstanceSegmentation::BaseInstanceSegmentation(
     const std::string &modelSource, std::vector<float> normMean,
     std::vector<float> normStd, bool applyNMS,
-    std::vector<std::string> labelNames,
     std::shared_ptr<react::CallInvoker> callInvoker)
-    : BaseModel(modelSource, callInvoker), applyNMS_(applyNMS),
-      labelNames_(std::move(labelNames)) {
+    : BaseModel(modelSource, callInvoker), applyNMS_(applyNMS) {
   avalivableMethods_ = *module_->method_names();
   if (normMean.size() == 3) {
     normMean_ = cv::Scalar(normMean[0], normMean[1], normMean[2]);
@@ -66,7 +64,7 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::nonMaxSuppression(
         continue;
       }
 
-      if (instances[i].label == instances[j].label) {
+      if (instances[i].classIndex == instances[j].classIndex) {
         float iou = intersectionOverUnion(instances[i], instances[j]);
         if (iou > iouThreshold) {
           suppressed[j] = true;
@@ -150,14 +148,6 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
                                        labelIdx)) == allowedClasses.end())
       continue;
 
-    if (labelIdx >= labelNames_.size()) {
-      throw RnExecutorchError(
-          RnExecutorchErrorCode::InvalidConfig,
-          "Model output class index " + std::to_string(labelIdx) +
-              " exceeds labelNames size " + std::to_string(labelNames_.size()) +
-              ". Ensure the labelMap covers all model output classes.");
-    }
-
     // Scale bbox to original image coordinates
     float origX1 = x1 * widthRatio;
     float origY1 = y1 * heightRatio;
@@ -246,7 +236,7 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
     instance.mask = std::move(finalMask);
     instance.maskWidth = finalMaskWidth;
     instance.maskHeight = finalMaskHeight;
-    instance.label = labelNames_[labelIdx];
+    instance.classIndex = static_cast<int32_t>(labelIdx);
     instance.score = score;
     instance.instanceId = i;
     instances.push_back(std::move(instance));
@@ -254,7 +244,7 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
   }
 
   // Finalize: NMS + limit + renumber
-  if (applyNMS_ && iouThreshold < 0.45) {
+  if (applyNMS_) {
     instances = nonMaxSuppression(instances, iouThreshold);
   }
 
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index 5bd0a24327..fcab95bc1b 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -20,7 +20,6 @@ class BaseInstanceSegmentation : public BaseModel {
   BaseInstanceSegmentation(const std::string &modelSource,
                            std::vector<float> normMean,
                            std::vector<float> normStd, bool applyNMS,
-                           std::vector<std::string> labelNames,
                            std::shared_ptr<react::CallInvoker> callInvoker);
 
   [[nodiscard("Registered non-void function")]] std::vector<types::InstanceMask>
@@ -48,7 +47,6 @@ class BaseInstanceSegmentation : public BaseModel {
   std::optional<cv::Scalar> normMean_;
   std::optional<cv::Scalar> normStd_;
   bool applyNMS_;
-  std::vector<std::string> labelNames_;
   cv::Size modelImageSize{0, 0};
   std::unordered_set<std::string> avalivableMethods_;
   std::string currentlyLoadedMethod_;
@@ -57,6 +55,5 @@ class BaseInstanceSegmentation : public BaseModel {
 
 REGISTER_CONSTRUCTOR(models::instance_segmentation::BaseInstanceSegmentation,
                      std::string, std::vector<float>, std::vector<float>, bool,
-                     std::vector<std::string>,
                      std::shared_ptr<react::CallInvoker>);
 } // namespace rnexecutorch
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
index 38fc7a26c0..adf66f8c56 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
@@ -1,6 +1,6 @@
 #pragma once
 
-#include <string>
+#include <cstdint>
 #include <vector>
 
 namespace rnexecutorch::models::instance_segmentation::types {
@@ -19,7 +19,7 @@ struct InstanceMask {
   std::vector<uint8_t> mask; ///< Binary mask (0 or 1) for the instance
   int maskWidth;             ///< Width of the mask array
   int maskHeight;            ///< Height of the mask array
-  std::string label;         ///< Class label name
+  int32_t classIndex;        ///< Model output class index
   float score;               ///< Confidence score [0, 1]
   int instanceId;            ///< Unique identifier for this instance
 };
diff --git a/packages/react-native-executorch/src/constants/commonVision.ts b/packages/react-native-executorch/src/constants/commonVision.ts
index ba89c9f847..3097e33c63 100644
--- a/packages/react-native-executorch/src/constants/commonVision.ts
+++ b/packages/react-native-executorch/src/constants/commonVision.ts
@@ -100,3 +100,91 @@ export enum CocoLabel {
   TOOTHBRUSH = 90,
   HAIR_BRUSH = 91,
 }
+
+/**
+ * COCO dataset class labels used for Yolo instance segmentation and object detection.
+ *
+ * @category Types
+ */
+export enum CocoLabelYolo {
+  PERSON = 0,
+  BICYCLE = 1,
+  CAR = 2,
+  MOTORCYCLE = 3,
+  AIRPLANE = 4,
+  BUS = 5,
+  TRAIN = 6,
+  TRUCK = 7,
+  BOAT = 8,
+  TRAFFICLIGHT = 9,
+  FIREHYDRANT = 10,
+  STOPSIGN = 11,
+  PARKINGMETER = 12,
+  BENCH = 13,
+  BIRD = 14,
+  CAT = 15,
+  DOG = 16,
+  HORSE = 17,
+  SHEEP = 18,
+  COW = 19,
+  ELEPHANT = 20,
+  BEAR = 21,
+  ZEBRA = 22,
+  GIRAFFE = 23,
+  BACKPACK = 24,
+  UMBRELLA = 25,
+  HANDBAG = 26,
+  TIE = 27,
+  SUITCASE = 28,
+  FRISBEE = 29,
+  SKIS = 30,
+  SNOWBOARD = 31,
+  SPORTSBALL = 32,
+  KITE = 33,
+  BASEBALLBAT = 34,
+  BASEBALLGLOVE = 35,
+  SKATEBOARD = 36,
+  SURFBOARD = 37,
+  TENNISRACKET = 38,
+  BOTTLE = 39,
+  WINEGLASS = 40,
+  CUP = 41,
+  FORK = 42,
+  KNIFE = 43,
+  SPOON = 44,
+  BOWL = 45,
+  BANANA = 46,
+  APPLE = 47,
+  SANDWICH = 48,
+  ORANGE = 49,
+  BROCCOLI = 50,
+  CARROT = 51,
+  HOTDOG = 52,
+  PIZZA = 53,
+  DONUT = 54,
+  CAKE = 55,
+  CHAIR = 56,
+  COUCH = 57,
+  POTTEDPLANT = 58,
+  BED = 59,
+  DININGTABLE = 60,
+  TOILET = 61,
+  TV = 62,
+  LAPTOP = 63,
+  MOUSE = 64,
+  REMOTE = 65,
+  KEYBOARD = 66,
+  CELLPHONE = 67,
+  MICROWAVE = 68,
+  OVEN = 69,
+  TOASTER = 70,
+  SINK = 71,
+  REFRIGERATOR = 72,
+  BOOK = 73,
+  CLOCK = 74,
+  VASE = 75,
+  SCISSORS = 76,
+  TEDDYBEAR = 77,
+  HAIRDRIER = 78,
+  TOOTHBRUSH = 79,
+}
diff --git a/packages/react-native-executorch/src/index.ts b/packages/react-native-executorch/src/index.ts
index 4f1b70222c..65fdb6af38 100644
--- a/packages/react-native-executorch/src/index.ts
+++ b/packages/react-native-executorch/src/index.ts
@@ -48,8 +48,7 @@ declare global {
     source: string,
     normMean: number[] | [],
     normStd: number[] | [],
-    applyNMS: boolean,
-    labelNames: string[]
+    applyNMS: boolean
   ) => any;
   var loadObjectDetection: (
     source: string,
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index d5cf6ea054..b0c9f17566 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -4,6 +4,7 @@ import {
   InstanceSegmentationConfig,
   InstanceSegmentationModelName,
   InstanceModelNameOf,
+  NativeSegmentedInstance,
   SegmentedInstance,
   InstanceSegmentationOptions,
 } from '../../types/instanceSegmentation';
@@ -24,25 +25,24 @@ const YOLO_SEG_CONFIG: InstanceSegmentationConfig<typeof CocoLabel> = {
 };
 
 /**
- * Builds an ordered label name array from a label map, indexed by model output
- * class ID. Subtracts the minimum label value so that 0-indexed model outputs
- * map correctly (e.g. COCO labels start at 1, but models output 0 for the
- * first class).
+ * Builds a reverse map from 0-based model class index to label key name, and
+ * computes the minimum enum value (offset) so TS enum values can be converted
+ * to 0-based model indices.
  */
-function buildLabelNames(labelMap: LabelEnum): string[] {
+function buildClassIndexMap(labelMap: LabelEnum): {
+  indexToLabel: Map<number, string>;
+  minValue: number;
+} {
   const entries: [string, number][] = [];
   for (const [name, value] of Object.entries(labelMap)) {
     if (typeof value === 'number') entries.push([name, value]);
   }
   const minValue = Math.min(...entries.map(([, v]) => v));
-  const allLabelNames: string[] = [];
+  const indexToLabel = new Map<number, string>();
   for (const [name, value] of entries) {
-    allLabelNames[value - minValue] = name;
+    indexToLabel.set(value - minValue, name);
   }
-  for (let i = 0; i < allLabelNames.length; i++) {
-    if (allLabelNames[i] == null) allLabelNames[i] = '';
-  }
-  return allLabelNames;
+  return { indexToLabel, minValue };
 }
 
 const ModelConfigs = {
@@ -107,14 +107,20 @@ export class InstanceSegmentationModule<
   T extends InstanceSegmentationModelName | LabelEnum,
 > extends BaseLabeledModule<ResolveLabels<T>> {
   private modelConfig: InstanceSegmentationConfig<LabelEnum>;
+  private classIndexToLabel: Map<number, string>;
+  private labelEnumOffset: number;
 
   private constructor(
     labelMap: ResolveLabels<T>,
     modelConfig: InstanceSegmentationConfig<LabelEnum>,
-    nativeModule: unknown
+    nativeModule: unknown,
+    classIndexToLabel: Map<number, string>,
+    labelEnumOffset: number
   ) {
     super(labelMap, nativeModule);
     this.modelConfig = modelConfig;
+    this.classIndexToLabel = classIndexToLabel;
+    this.labelEnumOffset = labelEnumOffset;
   }
 
   /**
@@ -149,25 +155,21 @@ export class InstanceSegmentationModule<
       );
     }
 
-    const labelNames = buildLabelNames(modelConfig.labelMap);
-    console.log(
-      '[InstanceSegmentation] Label names:',
-      labelNames.length,
-      'classes'
-    );
+    const { indexToLabel, minValue } = buildClassIndexMap(modelConfig.labelMap);
 
     const nativeModule = global.loadInstanceSegmentation(
       path,
       modelConfig.preprocessorConfig?.normMean || [],
       modelConfig.preprocessorConfig?.normStd || [],
-      modelConfig.postprocessorConfig?.applyNMS ?? true,
-      labelNames
+      modelConfig.postprocessorConfig?.applyNMS ?? true
     );
 
     return new InstanceSegmentationModule<InstanceModelNameOf<C>>(
       modelConfig.labelMap as ResolveLabels<InstanceModelNameOf<C>>,
       modelConfig,
-      nativeModule
+      nativeModule,
+      indexToLabel,
+      minValue
     );
   }
 
@@ -210,18 +212,21 @@ export class InstanceSegmentationModule<
       );
     }
 
+    const { indexToLabel, minValue } = buildClassIndexMap(config.labelMap);
+
     const nativeModule = global.loadInstanceSegmentation(
       path,
       config.preprocessorConfig?.normMean || [],
       config.preprocessorConfig?.normStd || [],
-      config.postprocessorConfig?.applyNMS ?? true,
-      buildLabelNames(config.labelMap)
+      config.postprocessorConfig?.applyNMS ?? true
     );
 
     return new InstanceSegmentationModule<L>(
       config.labelMap as ResolveLabels<L>,
       config,
-      nativeModule
+      nativeModule,
+      indexToLabel,
+      minValue
     );
   }
 
@@ -291,26 +296,38 @@ export class InstanceSegmentationModule<
     const classIndices = options?.classesOfInterest
       ? options.classesOfInterest.map((label) => {
           const labelStr = String(label);
-          const index = this.labelMap[labelStr as keyof ResolveLabels<T>];
-          return typeof index === 'number' ? index : -1;
+          const enumValue = this.labelMap[labelStr as keyof ResolveLabels<T>];
+          return typeof enumValue === 'number'
+            ? enumValue - this.labelEnumOffset
+            : -1;
         })
       : [];
 
     const startTime = performance.now();
-    const result = await this.nativeModule.generate(
-      imageSource,
-      confidenceThreshold,
-      iouThreshold,
-      maxInstances,
-      classIndices,
-      returnMaskAtOriginalResolution,
-      methodName
-    );
+    const nativeResult: NativeSegmentedInstance[] =
+      await this.nativeModule.generate(
+        imageSource,
+        confidenceThreshold,
+        iouThreshold,
+        maxInstances,
+        classIndices,
+        returnMaskAtOriginalResolution,
+        methodName
+      );
     const inferenceTime = performance.now() - startTime;
     console.log(
-      `[InstanceSegmentation] Inference: ${inferenceTime.toFixed(2)}ms | Method: ${methodName} | Detected: ${result.length} instances`
+      `[InstanceSegmentation] Inference: ${inferenceTime.toFixed(2)}ms | Method: ${methodName} | Detected: ${nativeResult.length} instances`
     );
 
-    return result;
+    return nativeResult.map((inst) => ({
+      bbox: inst.bbox,
+      mask: inst.mask,
+      maskWidth: inst.maskWidth,
+      maskHeight: inst.maskHeight,
+      label: (this.classIndexToLabel.get(inst.classIndex) ??
+        String(inst.classIndex)) as keyof ResolveLabels<T>,
+      score: inst.score,
+      instanceId: inst.instanceId,
+    }));
   }
 }
diff --git a/packages/react-native-executorch/src/types/instanceSegmentation.ts b/packages/react-native-executorch/src/types/instanceSegmentation.ts
index d66ccff5e7..dff441cd75 100644
--- a/packages/react-native-executorch/src/types/instanceSegmentation.ts
+++ b/packages/react-native-executorch/src/types/instanceSegmentation.ts
@@ -2,6 +2,22 @@ import { RnExecutorchError } from '../errors/errorUtils';
 import { LabelEnum, ResourceSource } from './common';
 import { Bbox } from './objectDetection';
 
+/**
+ * Raw instance returned from the native C++ side, carrying a numeric
+ * `classIndex` instead of a resolved label string.
+ *
+ * @internal
+ */
+export interface NativeSegmentedInstance {
+  bbox: Bbox;
+  mask: Uint8Array;
+  maskWidth: number;
+  maskHeight: number;
+  classIndex: number;
+  score: number;
+  instanceId: number;
+}
+
 /**
  * Represents a single detected instance in instance segmentation output.
  *

From 1b78a00a5408d1ecfd8d1ba307c3f02a1efd1260 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Tue, 10 Mar 2026 11:34:41 +0100
Subject: [PATCH 19/56] Add yolo specific coco labels

---
 .../modules/computer_vision/InstanceSegmentationModule.ts   | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index b0c9f17566..f665226f15 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -8,13 +8,13 @@ import {
   SegmentedInstance,
   InstanceSegmentationOptions,
 } from '../../types/instanceSegmentation';
-import { CocoLabel } from '../../types/objectDetection';
 import { RnExecutorchErrorCode } from '../../errors/ErrorCodes';
 import { RnExecutorchError } from '../../errors/errorUtils';
 import { BaseLabeledModule, fetchModelPath } from '../BaseLabeledModule';
+import { CocoLabelYolo } from '../../constants/commonVision';
 
-const YOLO_SEG_CONFIG: InstanceSegmentationConfig<typeof CocoLabel> = {
-  labelMap: CocoLabel,
+const YOLO_SEG_CONFIG: InstanceSegmentationConfig<typeof CocoLabelYolo> = {
+  labelMap: CocoLabelYolo,
   availableInputSizes: [384, 512, 640] as const,
   defaultInputSize: 384,
   defaultConfidenceThreshold: 0.5,

From 755348daf517ab0b0507dbb9cdb2e65da9919293 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Tue, 10 Mar 2026 12:07:35 +0100
Subject: [PATCH 20/56] Fix yarn stuff

---
 package.json |  1 -
 yarn.lock    | 12 +++++++++++-
 2 files changed, 11 insertions(+), 2 deletions(-)

diff --git a/package.json b/package.json
index 145733ff9a..81fbe08517 100644
--- a/package.json
+++ b/package.json
@@ -24,7 +24,6 @@
     "eslint-plugin-ft-flow": "^2.0.3",
     "eslint-plugin-markdown": "^5.1.0",
     "eslint-plugin-prettier": "^5.0.1",
-    "expo-router": "~6.0.17",
     "prettier": "^3.3.3",
     "prettier-plugin-jsdoc": "^1.3.0",
     "typescript": "~5.9.2"
diff --git a/yarn.lock b/yarn.lock
index 0ed00cdfd9..72f4265e51 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -4371,6 +4371,16 @@ __metadata:
   languageName: unknown
   linkType: soft
 
+"@react-native-picker/picker@npm:^2.11.4":
+  version: 2.11.4
+  resolution: "@react-native-picker/picker@npm:2.11.4"
+  peerDependencies:
+    react: "*"
+    react-native: "*"
+  checksum: 10/cb8f0b7bf52044a5bbb89db5a3f1be7bd3cdf3a04845f0475c492ec3f24e63cd915b993b23012b674d3503499efd8ff4eebe18561f4e38ba67b4c45742de4c74
+  languageName: node
+  linkType: hard
+
 "@react-native/assets-registry@npm:0.81.5":
   version: 0.81.5
   resolution: "@react-native/assets-registry@npm:0.81.5"
@@ -7249,6 +7259,7 @@ __metadata:
   dependencies:
     "@babel/core": "npm:^7.29.0"
     "@react-native-executorch/expo-resource-fetcher": "workspace:*"
+    "@react-native-picker/picker": "npm:^2.11.4"
     "@react-native/metro-config": "npm:^0.81.5"
     "@react-navigation/drawer": "npm:^7.8.1"
     "@react-navigation/native": "npm:^7.1.28"
@@ -14353,7 +14364,6 @@ __metadata:
     eslint-plugin-ft-flow: "npm:^2.0.3"
     eslint-plugin-markdown: "npm:^5.1.0"
     eslint-plugin-prettier: "npm:^5.0.1"
-    expo-router: "npm:~6.0.17"
     prettier: "npm:^3.3.3"
     prettier-plugin-jsdoc: "npm:^1.3.0"
     typescript: "npm:~5.9.2"

From f65f732982e550d85085921518694d5246e30497 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Tue, 10 Mar 2026 16:56:53 +0100
Subject: [PATCH 21/56] Add tests

---
 .../useInstanceSegmentation.md                |  20 +-
 .../InstanceSegmentationModule.md             |   6 +-
 .../common/rnexecutorch/tests/CMakeLists.txt  |   7 +
 .../integration/InstanceSegmentationTest.cpp  | 285 ++++++++++++++++
 .../common/rnexecutorch/tests/run_tests.sh    | 310 +++++++++---------
 .../src/constants/commonVision.ts             |  48 ++-
 6 files changed, 494 insertions(+), 182 deletions(-)
 create mode 100644 packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp

diff --git a/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md b/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
index 7f25d8fbb4..b61c2e911f 100644
--- a/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
+++ b/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
@@ -66,7 +66,7 @@ To run the model, use the [`forward`](../../06-api-reference/interfaces/Instance
   - `confidenceThreshold` - Minimum confidence score for including instances. Defaults to the model's configured threshold (typically `0.5`).
   - `iouThreshold` - IoU threshold for non-maximum suppression. Defaults to `0.5`.
   - `maxInstances` - Maximum number of instances to return. Defaults to `100`.
-  - `classesOfInterest` - Filter results to include only specific classes (e.g. `['PERSON', 'CAR']`).
+  - `classesOfInterest` - Filter results to include only specific classes (e.g. `['PERSON', 'CAR']`). Use label names from the model's label enum (e.g. [`CocoLabelYolo`](../../06-api-reference/enumerations/CocoLabelYolo.md) for YOLO models).
   - `returnMaskAtOriginalResolution` - Whether to resize masks to the original image resolution. Defaults to `true`.
   - `inputSize` - Input size for the model (e.g. `384`, `512`, `640`). Must be one of the model's available input sizes. If the model has only one forward method (i.e. no `availableInputSizes` configured), this option is not needed.
 
@@ -121,10 +121,14 @@ function App() {
 
 ## Supported models
 
-| Model       | Number of classes | Class list                                               | Available input sizes |
-| ----------- | ----------------- | -------------------------------------------------------- | --------------------- |
-| yolo26n-seg | 80                | [COCO](../../06-api-reference/enumerations/CocoLabel.md) | 384, 512, 640         |
-| yolo26s-seg | 80                | [COCO](../../06-api-reference/enumerations/CocoLabel.md) | 384, 512, 640         |
-| yolo26m-seg | 80                | [COCO](../../06-api-reference/enumerations/CocoLabel.md) | 384, 512, 640         |
-| yolo26l-seg | 80                | [COCO](../../06-api-reference/enumerations/CocoLabel.md) | 384, 512, 640         |
-| yolo26x-seg | 80                | [COCO](../../06-api-reference/enumerations/CocoLabel.md) | 384, 512, 640         |
+:::info
+YOLO models use the [`CocoLabelYolo`](../../06-api-reference/enumerations/CocoLabelYolo.md) enum (80 classes, 0-indexed), which differs from [`CocoLabel`](../../06-api-reference/enumerations/CocoLabel.md) used by RF-DETR and SSDLite object detection models (91 classes, 1-indexed). When filtering with `classesOfInterest`, use the label names from `CocoLabelYolo`.
+:::
+
+| Model       | Number of classes | Class list                                                          | Available input sizes |
+| ----------- | ----------------- | ------------------------------------------------------------------- | --------------------- |
+| yolo26n-seg | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
+| yolo26s-seg | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
+| yolo26m-seg | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
+| yolo26l-seg | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
+| yolo26x-seg | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
diff --git a/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md b/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md
index b1c830f152..0959654842 100644
--- a/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md
+++ b/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md
@@ -104,7 +104,11 @@ To run the model, use the [`forward`](../../06-api-reference/classes/InstanceSeg
 - `imageSource` (required) - The image to process. Can be a remote URL, a local file URI, or a base64-encoded image (whole URI or only raw base64).
 - `options` (optional) - An [`InstanceSegmentationOptions`](../../06-api-reference/interfaces/InstanceSegmentationOptions.md) object for configuring the segmentation (confidence threshold, IoU threshold, input size, classes of interest, etc.).
 
-The method returns a promise resolving to an array of [`SegmentedInstance`](../../06-api-reference/interfaces/SegmentedInstance.md) objects. Each object contains bounding box coordinates, a binary segmentation mask, the label of the detected instance, and the confidence score.
+The method returns a promise resolving to an array of [`SegmentedInstance`](../../06-api-reference/interfaces/SegmentedInstance.md) objects. Each object contains bounding box coordinates, a binary segmentation mask, a string `label` (resolved from the model's label enum), and the confidence score.
+
+:::info
+Built-in YOLO models use [`CocoLabelYolo`](../../06-api-reference/enumerations/CocoLabelYolo.md) (80 classes, 0-indexed), not [`CocoLabel`](../../06-api-reference/enumerations/CocoLabel.md) (91 classes, 1-indexed, used by RF-DETR / SSDLite). When filtering with `classesOfInterest`, use the key names from `CocoLabelYolo`.
+:::
 
 ## Managing memory
 
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/CMakeLists.txt b/packages/react-native-executorch/common/rnexecutorch/tests/CMakeLists.txt
index bd359dcb8f..b74c7b1284 100644
--- a/packages/react-native-executorch/common/rnexecutorch/tests/CMakeLists.txt
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/CMakeLists.txt
@@ -289,6 +289,13 @@ add_rn_test(TextToImageTests integration/TextToImageTest.cpp
     LIBS tokenizers_deps
 )
 
+add_rn_test(InstanceSegmentationTests integration/InstanceSegmentationTest.cpp
+    SOURCES
+        ${RNEXECUTORCH_DIR}/models/instance_segmentation/BaseInstanceSegmentation.cpp
+        ${IMAGE_UTILS_SOURCES}
+    LIBS opencv_deps android
+)
+
 add_rn_test(OCRTests integration/OCRTest.cpp
     SOURCES
         ${RNEXECUTORCH_DIR}/models/ocr/OCR.cpp
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp b/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
new file mode 100644
index 0000000000..e2f980befb
--- /dev/null
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
@@ -0,0 +1,285 @@
+#include "BaseModelTests.h"
+#include <gtest/gtest.h>
+#include <rnexecutorch/Error.h>
+#include <rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h>
+#include <rnexecutorch/models/instance_segmentation/Types.h>
+
+using namespace rnexecutorch;
+using namespace rnexecutorch::models::instance_segmentation;
+using namespace model_tests;
+
+constexpr auto kValidInstanceSegModelPath = "yolo26n-seg.pte";
+constexpr auto kValidTestImagePath =
+    "file:///data/local/tmp/rnexecutorch_tests/segmentation_image.jpg";
+constexpr auto kMethodName = "forward_384";
+
+// ============================================================================
+// Common tests via typed test suite
+// ============================================================================
+namespace model_tests {
+template <> struct ModelTraits<BaseInstanceSegmentation> {
+  using ModelType = BaseInstanceSegmentation;
+
+  static ModelType createValid() {
+    return ModelType(kValidInstanceSegModelPath, {}, {}, true, nullptr);
+  }
+
+  static ModelType createInvalid() {
+    return ModelType("nonexistent.pte", {}, {}, true, nullptr);
+  }
+
+  static void callGenerate(ModelType &model) {
+    (void)model.generate(kValidTestImagePath, 0.5, 0.5, 100, {}, true,
+                         kMethodName);
+  }
+};
+} // namespace model_tests
+
+using InstanceSegmentationTypes = ::testing::Types<BaseInstanceSegmentation>;
+INSTANTIATE_TYPED_TEST_SUITE_P(InstanceSegmentation, CommonModelTest,
+                               InstanceSegmentationTypes);
+
+// ============================================================================
+// Generate tests (from string)
+// ============================================================================
+TEST(InstanceSegGenerateTests, InvalidImagePathThrows) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  EXPECT_THROW((void)model.generate("nonexistent_image.jpg", 0.5, 0.5, 100, {},
+                                    true, kMethodName),
+               RnExecutorchError);
+}
+
+TEST(InstanceSegGenerateTests, EmptyImagePathThrows) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  EXPECT_THROW((void)model.generate("", 0.5, 0.5, 100, {}, true, kMethodName),
+               RnExecutorchError);
+}
+
+TEST(InstanceSegGenerateTests, EmptyMethodNameThrows) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  EXPECT_THROW(
+      (void)model.generate(kValidTestImagePath, 0.5, 0.5, 100, {}, true, ""),
+      RnExecutorchError);
+}
+
+TEST(InstanceSegGenerateTests, NegativeConfidenceThrows) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  EXPECT_THROW((void)model.generate(kValidTestImagePath, -0.1, 0.5, 100, {},
+                                    true, kMethodName),
+               RnExecutorchError);
+}
+
+TEST(InstanceSegGenerateTests, ConfidenceAboveOneThrows) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  EXPECT_THROW((void)model.generate(kValidTestImagePath, 1.1, 0.5, 100, {},
+                                    true, kMethodName),
+               RnExecutorchError);
+}
+
+TEST(InstanceSegGenerateTests, NegativeIouThresholdThrows) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  EXPECT_THROW((void)model.generate(kValidTestImagePath, 0.5, -0.1, 100, {},
+                                    true, kMethodName),
+               RnExecutorchError);
+}
+
+TEST(InstanceSegGenerateTests, IouThresholdAboveOneThrows) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  EXPECT_THROW((void)model.generate(kValidTestImagePath, 0.5, 1.1, 100, {},
+                                    true, kMethodName),
+               RnExecutorchError);
+}
+
+TEST(InstanceSegGenerateTests, ValidImageReturnsResults) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  auto results =
+      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+  EXPECT_FALSE(results.empty());
+}
+
+TEST(InstanceSegGenerateTests, HighThresholdReturnsFewerResults) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  auto lowResults =
+      model.generate(kValidTestImagePath, 0.1, 0.5, 100, {}, true, kMethodName);
+  auto highResults =
+      model.generate(kValidTestImagePath, 0.9, 0.5, 100, {}, true, kMethodName);
+  EXPECT_GE(lowResults.size(), highResults.size());
+}
+
+TEST(InstanceSegGenerateTests, MaxInstancesLimitsResults) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  auto results =
+      model.generate(kValidTestImagePath, 0.1, 0.5, 2, {}, true, kMethodName);
+  EXPECT_LE(results.size(), 2u);
+}
+
+// ============================================================================
+// Result validation tests
+// ============================================================================
+TEST(InstanceSegResultTests, InstancesHaveValidBoundingBoxes) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  auto results =
+      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+
+  for (const auto &inst : results) {
+    EXPECT_LE(inst.x1, inst.x2);
+    EXPECT_LE(inst.y1, inst.y2);
+    EXPECT_GE(inst.x1, 0.0f);
+    EXPECT_GE(inst.y1, 0.0f);
+  }
+}
+
+TEST(InstanceSegResultTests, InstancesHaveValidScores) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  auto results =
+      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+
+  for (const auto &inst : results) {
+    EXPECT_GE(inst.score, 0.0f);
+    EXPECT_LE(inst.score, 1.0f);
+  }
+}
+
+TEST(InstanceSegResultTests, InstancesHaveValidMasks) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  auto results =
+      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+
+  for (const auto &inst : results) {
+    EXPECT_GT(inst.maskWidth, 0);
+    EXPECT_GT(inst.maskHeight, 0);
+    EXPECT_EQ(inst.mask.size(),
+              static_cast<size_t>(inst.maskWidth) * inst.maskHeight);
+
+    for (uint8_t val : inst.mask) {
+      EXPECT_TRUE(val == 0 || val == 1);
+    }
+  }
+}
+
+TEST(InstanceSegResultTests, InstancesHaveUniqueIds) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  auto results =
+      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+
+  std::set<int> ids;
+  for (const auto &inst : results) {
+    EXPECT_TRUE(ids.insert(inst.instanceId).second)
+        << "Duplicate instanceId: " << inst.instanceId;
+  }
+}
+
+TEST(InstanceSegResultTests, InstancesHaveValidClassIndices) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  auto results =
+      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+
+  for (const auto &inst : results) {
+    EXPECT_GE(inst.classIndex, 0);
+    EXPECT_LT(inst.classIndex, 80); // COCO YOLO has 80 classes
+  }
+}
+
+// ============================================================================
+// Class filtering tests
+// ============================================================================
+TEST(InstanceSegFilterTests, ClassFilterReturnsOnlyMatchingClasses) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  // Filter to class index 0 (PERSON in CocoLabelYolo)
+  std::vector<int32_t> classIndices = {0};
+  auto results = model.generate(kValidTestImagePath, 0.3, 0.5, 100,
+                                classIndices, true, kMethodName);
+
+  for (const auto &inst : results) {
+    EXPECT_EQ(inst.classIndex, 0);
+  }
+}
+
+TEST(InstanceSegFilterTests, EmptyFilterReturnsAllClasses) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  auto unfilteredResults =
+      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+  auto filteredResults =
+      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+
+  EXPECT_EQ(unfilteredResults.size(), filteredResults.size());
+}
+
+// ============================================================================
+// Mask resolution tests
+// ============================================================================
+TEST(InstanceSegMaskTests, LowResMaskIsSmallerThanOriginal) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  auto hiRes =
+      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+  auto loRes = model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, false,
+                              kMethodName);
+
+  if (!hiRes.empty() && !loRes.empty()) {
+    EXPECT_LE(loRes[0].mask.size(), hiRes[0].mask.size());
+  }
+}
+
+// ============================================================================
+// NMS tests
+// ============================================================================
+TEST(InstanceSegNMSTests, NMSEnabledReturnsFewerOrEqualResults) {
+  BaseInstanceSegmentation modelWithNMS(kValidInstanceSegModelPath, {}, {},
+                                        true, nullptr);
+  BaseInstanceSegmentation modelWithoutNMS(kValidInstanceSegModelPath, {}, {},
+                                           false, nullptr);
+
+  auto nmsResults = modelWithNMS.generate(kValidTestImagePath, 0.3, 0.5, 100,
+                                          {}, true, kMethodName);
+  auto noNmsResults = modelWithoutNMS.generate(kValidTestImagePath, 0.3, 0.5,
+                                               100, {}, true, kMethodName);
+
+  EXPECT_LE(nmsResults.size(), noNmsResults.size());
+}
+
+// ============================================================================
+// Inherited method tests
+// ============================================================================
+TEST(InstanceSegInheritedTests, GetMethodMetaWorks) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  auto result = model.getMethodMeta(kMethodName);
+  EXPECT_TRUE(result.ok());
+}
+
+// ============================================================================
+// Normalisation tests
+// ============================================================================
+TEST(InstanceSegNormTests, ValidNormParamsDoesntThrow) {
+  const std::vector<float> mean = {0.485f, 0.456f, 0.406f};
+  const std::vector<float> std = {0.229f, 0.224f, 0.225f};
+  EXPECT_NO_THROW(BaseInstanceSegmentation(kValidInstanceSegModelPath, mean,
+                                           std, true, nullptr));
+}
+
+TEST(InstanceSegNormTests, ValidNormParamsGenerateSucceeds) {
+  const std::vector<float> mean = {0.485f, 0.456f, 0.406f};
+  const std::vector<float> std = {0.229f, 0.224f, 0.225f};
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, mean, std, true,
+                                 nullptr);
+  EXPECT_NO_THROW((void)model.generate(kValidTestImagePath, 0.5, 0.5, 100, {},
+                                       true, kMethodName));
+}
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/run_tests.sh b/packages/react-native-executorch/common/rnexecutorch/tests/run_tests.sh
index d12f8fbada..28bfaf4b26 100755
--- a/packages/react-native-executorch/common/rnexecutorch/tests/run_tests.sh
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/run_tests.sh
@@ -15,77 +15,75 @@ MODELS_DIR="$SCRIPT_DIR/integration/assets/models"
 # Test executables
 # ============================================================================
 TEST_EXECUTABLES=(
-  "NumericalTests"
-  "RunnerTests"
-  "LogTests"
-  "FileUtilsTest"
-  "ImageProcessingTest"
-  "BaseModelTests"
-  "ClassificationTests"
-  "ObjectDetectionTests"
-  "ImageEmbeddingsTests"
-  "TextEmbeddingsTests"
-  "StyleTransferTests"
-  "VADTests"
-  "TokenizerModuleTests"
-  "SpeechToTextTests"
-  "TextToSpeechTests"
-  "LLMTests"
-  "ImageSegmentationTests"
-  "TextToImageTests"
-  "OCRTests"
-  "VerticalOCRTests"
+    <<<<<<< HEAD
+    "NumericalTests"
+    "RunnerTests"
+    "LogTests"
+    "FileUtilsTest"
+    "ImageProcessingTest"
+    "BaseModelTests"
+    "ClassificationTests"
+    "ObjectDetectionTests"
+    "ImageEmbeddingsTests"
+    "TextEmbeddingsTests"
+    "StyleTransferTests"
+    "VADTests"
+    "TokenizerModuleTests"
+    "SpeechToTextTests"
+    "TextToSpeechTests"
+    "LLMTests"
+    "ImageSegmentationTests"
+    "TextToImageTests"
+    "OCRTests"
+    "VerticalOCRTests"
 )
 
 # ============================================================================
 # Test assets
 # ============================================================================
 TEST_ASSETS=(
-  "integration/assets/test_audio_float.raw"
-  "integration/assets/test_speech.raw"
-  "integration/assets/we_are_software_mansion.jpg"
+    "integration/assets/test_audio_float.raw"
+    "integration/assets/test_speech.raw"
+    "integration/assets/we_are_software_mansion.jpg"
 )
 
 # ============================================================================
 # Models to download (format: "filename|url")
 # ============================================================================
 MODELS=(
-  "style_transfer_candy_xnnpack_fp32.pte|https://huggingface.co/software-mansion/react-native-executorch-style-transfer-candy/resolve/main/xnnpack/style_transfer_candy_xnnpack_fp32.pte"
-  "efficientnet_v2_s_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-efficientnet-v2-s/resolve/v0.6.0/xnnpack/efficientnet_v2_s_xnnpack.pte"
-  "ssdlite320-mobilenetv3-large.pte|https://huggingface.co/software-mansion/react-native-executorch-ssdlite320-mobilenet-v3-large/resolve/v0.6.0/ssdlite320-mobilenetv3-large.pte"
-  "test_image.jpg|https://upload.wikimedia.org/wikipedia/commons/thumb/4/4d/Cat_November_2010-1a.jpg/1200px-Cat_November_2010-1a.jpg"
-  "clip-vit-base-patch32-vision_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-clip-vit-base-patch32/resolve/v0.6.0/clip-vit-base-patch32-vision_xnnpack.pte"
-  "all-MiniLM-L6-v2_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-all-MiniLM-L6-v2/resolve/v0.6.0/all-MiniLM-L6-v2_xnnpack.pte"
-  "tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-all-MiniLM-L6-v2/resolve/v0.6.0/tokenizer.json"
-  "fsmn-vad_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-fsmn-vad/resolve/main/xnnpack/fsmn-vad_xnnpack.pte"
-  "whisper_tiny_en_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-whisper-tiny.en/resolve/v0.8.0/xnnpack/whisper_tiny_en_xnnpack.pte"
-  "whisper_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-whisper-tiny.en/resolve/v0.8.0/tokenizer.json"
-  "kokoro_duration_predictor.pte|https://huggingface.co/software-mansion/react-native-executorch-kokoro/resolve/main/xnnpack/medium/duration_predictor.pte"
-  "kokoro_synthesizer.pte|https://huggingface.co/software-mansion/react-native-executorch-kokoro/resolve/main/xnnpack/medium/synthesizer.pte"
-  "kokoro_af_heart.bin|https://huggingface.co/software-mansion/react-native-executorch-kokoro/resolve/main/voices/af_heart.bin"
-  "kokoro_us_lexicon.json|https://huggingface.co/software-mansion/react-native-executorch-kokoro/resolve/main/phonemizer/us_merged.json"
-  "kokoro_en_tagger.json|https://huggingface.co/software-mansion/react-native-executorch-kokoro/resolve/main/phonemizer/tags.json"
-  "smolLm2_135M_8da4w.pte|https://huggingface.co/software-mansion/react-native-executorch-smolLm-2/resolve/v0.6.0/smolLm-2-135M/quantized/smolLm2_135M_8da4w.pte"
-  "smollm_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-smolLm-2/resolve/v0.6.0/tokenizer.json"
-  "deeplabV3_xnnpack_fp32.pte|https://huggingface.co/software-mansion/react-native-executorch-deeplab-v3/resolve/v0.6.0/xnnpack/deeplabV3_xnnpack_fp32.pte"
-  "xnnpack_crnn_english.pte|https://huggingface.co/software-mansion/react-native-executorch-recognizer-crnn.en/resolve/v0.7.0/xnnpack/english/xnnpack_crnn_english.pte"
-  "xnnpack_craft_quantized.pte|https://huggingface.co/software-mansion/react-native-executorch-detector-craft/resolve/v0.7.0/xnnpack/xnnpack_craft.pte"
-  "t2i_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/tokenizer/tokenizer.json"
-  "t2i_encoder.pte|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/text_encoder/model.pte"
-  "t2i_unet.pte|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/unet/model.256.pte"
-  "t2i_decoder.pte|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/vae/model.256.pte"
-  "lfm2_5_vl_quantized_xnnpack_v2.pte|https://huggingface.co/software-mansion/react-native-executorch-lfm2.5-VL-1.6B/resolve/main/quantized/lfm2_5_vl_1_6b_8da4w_xnnpack.pte"
-  "lfm2_vl_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-lfm2.5-VL-1.6B/resolve/main/tokenizer.json"
-  "lfm2_vl_tokenizer_config.json|https://huggingface.co/software-mansion/react-native-executorch-lfm2.5-VL-1.6B/resolve/main/tokenizer_config.json"
+    "style_transfer_candy_xnnpack_fp32.pte|https://huggingface.co/software-mansion/react-native-executorch-style-transfer-candy/resolve/main/xnnpack/style_transfer_candy_xnnpack_fp32.pte"
+    "efficientnet_v2_s_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-efficientnet-v2-s/resolve/v0.6.0/xnnpack/efficientnet_v2_s_xnnpack.pte"
+    "ssdlite320-mobilenetv3-large.pte|https://huggingface.co/software-mansion/react-native-executorch-ssdlite320-mobilenet-v3-large/resolve/v0.6.0/ssdlite320-mobilenetv3-large.pte"
+    "test_image.jpg|https://upload.wikimedia.org/wikipedia/commons/thumb/4/4d/Cat_November_2010-1a.jpg/1200px-Cat_November_2010-1a.jpg"
+    "clip-vit-base-patch32-vision_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-clip-vit-base-patch32/resolve/v0.6.0/clip-vit-base-patch32-vision_xnnpack.pte"
+    "all-MiniLM-L6-v2_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-all-MiniLM-L6-v2/resolve/v0.6.0/all-MiniLM-L6-v2_xnnpack.pte"
+    "tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-all-MiniLM-L6-v2/resolve/v0.6.0/tokenizer.json"
+    "fsmn-vad_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-fsmn-vad/resolve/main/xnnpack/fsmn-vad_xnnpack.pte"
+    "whisper_tiny_en_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-whisper-tiny.en/resolve/v0.8.0/xnnpack/whisper_tiny_en_xnnpack.pte"
+    "whisper_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-whisper-tiny.en/resolve/v0.8.0/tokenizer.json"
+    "smolLm2_135M_8da4w.pte|https://huggingface.co/software-mansion/react-native-executorch-smolLm-2/resolve/v0.6.0/smolLm-2-135M/quantized/smolLm2_135M_8da4w.pte"
+    "smollm_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-smolLm-2/resolve/v0.6.0/tokenizer.json"
+    "deeplabV3_xnnpack_fp32.pte|https://huggingface.co/software-mansion/react-native-executorch-deeplab-v3/resolve/v0.6.0/xnnpack/deeplabV3_xnnpack_fp32.pte"
+    "xnnpack_crnn_english.pte|https://huggingface.co/software-mansion/react-native-executorch-recognizer-crnn.en/resolve/v0.7.0/xnnpack/english/xnnpack_crnn_english.pte"
+    "xnnpack_craft_quantized.pte|https://huggingface.co/software-mansion/react-native-executorch-detector-craft/resolve/v0.7.0/xnnpack/xnnpack_craft.pte"
+    "t2i_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/tokenizer/tokenizer.json"
+    "t2i_encoder.pte|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/text_encoder/model.pte"
+    "t2i_unet.pte|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/unet/model.256.pte"
+    "t2i_decoder.pte|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/vae/model.256.pte"
+    "lfm2_5_vl_quantized_xnnpack_v2.pte|https://huggingface.co/software-mansion/react-native-executorch-lfm2.5-VL-1.6B/resolve/main/quantized/lfm2_5_vl_1_6b_8da4w_xnnpack.pte"
+    "lfm2_vl_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-lfm2.5-VL-1.6B/resolve/main/tokenizer.json"
+    "lfm2_vl_tokenizer_config.json|https://huggingface.co/software-mansion/react-native-executorch-lfm2.5-VL-1.6B/resolve/main/tokenizer_config.json"
+    "yolo26n-seg.pte|https://huggingface.co/software-mansion/react-native-executorch-yolo26-seg/resolve/v0.8.0/yolo26n-seg/xnnpack/yolo26n-seg.pte"
+    "segmentation_image.jpg|https://upload.wikimedia.org/wikipedia/commons/thumb/8/85/Collage_audi.jpg/1280px-Collage_audi.jpg"
 )
 
 # ============================================================================
 # Libraries to push
 # ============================================================================
 REQUIRED_LIBS=(
-  "$ANDROID_LIBS_DIR/executorch/$ANDROID_ABI/libexecutorch.so:libexecutorch_jni.so"
-  "$ANDROID_LIBS_DIR/pthreadpool/$ANDROID_ABI/libpthreadpool.so:libpthreadpool.so"
-  "$ANDROID_LIBS_DIR/cpuinfo/$ANDROID_ABI/libcpuinfo.so:libcpuinfo.so"
+    "$ANDROID_LIBS_DIR/executorch/$ANDROID_ABI/libexecutorch.so:libexecutorch_jni.so"
+    "$ANDROID_LIBS_DIR/pthreadpool/$ANDROID_ABI/libpthreadpool.so:libpthreadpool.so"
+    "$ANDROID_LIBS_DIR/cpuinfo/$ANDROID_ABI/libcpuinfo.so:libcpuinfo.so"
 )
 
 # Dynamically find libfbjni.so from CMake builds (exclude node_modules for speed)
@@ -95,28 +93,28 @@ MONOREPO_ROOT="$PACKAGE_ROOT/../../.."
 LIBFBJNI_PATH="$SCRIPT_DIR/integration/libs/libfbjni.so"
 
 if [ -z "$LIBFBJNI_PATH" ]; then
-  echo "Error: libfbjni.so not found."
-  echo "Please build an app first: cd apps/computer-vision/android && ./gradlew assembleRelease"
-  exit 1
+    echo "Error: libfbjni.so not found."
+    echo "Please build an app first: cd apps/computer-vision/android && ./gradlew assembleRelease"
+    exit 1
 fi
 
 # Get libc++_shared.so from NDK based on host platform
 if [[ "$OSTYPE" == "darwin"* ]]; then
-  NDK_HOST="darwin-x86_64"
+    NDK_HOST="darwin-x86_64"
 else
-  NDK_HOST="linux-x86_64"
+    NDK_HOST="linux-x86_64"
 fi
 
 LIBCPP_PATH="$ANDROID_NDK/toolchains/llvm/prebuilt/$NDK_HOST/sysroot/usr/lib/aarch64-linux-android/libc++_shared.so"
 
 if [ ! -f "$LIBCPP_PATH" ]; then
-  echo "Error: libc++_shared.so not found at: $LIBCPP_PATH"
-  exit 1
+    echo "Error: libc++_shared.so not found at: $LIBCPP_PATH"
+    exit 1
 fi
 
 GRADLE_LIBS=(
-  "$LIBFBJNI_PATH:libfbjni.so"
-  "$LIBCPP_PATH:libc++_shared.so"
+    "$LIBFBJNI_PATH:libfbjni.so"
+    "$LIBCPP_PATH:libc++_shared.so"
 )
 
 # ============================================================================
@@ -130,7 +128,7 @@ SKIP_BUILD=false
 # ============================================================================
 
 print_usage() {
-  cat <<EOF
+    cat <<EOF
 Usage: $0 [OPTIONS]
 
 Options:
@@ -142,85 +140,85 @@ EOF
 }
 
 log() {
-  echo "[$(date +'%H:%M:%S')] $*"
+    echo "[$(date +'%H:%M:%S')] $*"
 }
 
 error() {
-  echo "[ERROR] $*" >&2
+    echo "[ERROR] $*" >&2
 }
 
 download_if_needed() {
-  local url="$1"
-  local output="$2"
-  local filepath="$MODELS_DIR/$output"
-
-  if [ "$REFRESH_MODELS" = true ] || [ ! -f "$filepath" ]; then
-    log "Downloading $output..."
-    wget -q -O "$filepath" "$url"
-  else
-    log "$output already exists, skipping"
-  fi
+    local url="$1"
+    local output="$2"
+    local filepath="$MODELS_DIR/$output"
+
+    if [ "$REFRESH_MODELS" = true ] || [ ! -f "$filepath" ]; then
+        log "Downloading $output..."
+        wget -q -O "$filepath" "$url"
+    else
+        log "$output already exists, skipping"
+    fi
 }
 
 push_file() {
-  local src="$1"
-  local dest="$2"
-
-  if [ -f "$src" ]; then
-    adb push "$src" "$dest" >/dev/null
-  else
-    error "File not found: $src"
-  fi
+    local src="$1"
+    local dest="$2"
+
+    if [ -f "$src" ]; then
+        adb push "$src" "$dest" >/dev/null
+    else
+        error "File not found: $src"
+    fi
 }
 
 run_test() {
-  local test_exe="$1"
+    local test_exe="$1"
 
-  if adb shell "[ -f $DEVICE_TEST_DIR/$test_exe ]"; then
-    log "Running $test_exe"
-    if ! adb shell "cd $DEVICE_TEST_DIR && LD_LIBRARY_PATH=. ./$test_exe --gtest_color=yes"; then
-      return 1
+    if adb shell "[ -f $DEVICE_TEST_DIR/$test_exe ]"; then
+        log "Running $test_exe"
+        if ! adb shell "cd $DEVICE_TEST_DIR && LD_LIBRARY_PATH=. ./$test_exe --gtest_color=yes"; then
+            return 1
+        fi
     fi
-  fi
-  return 0
+    return 0
 }
 
 # ============================================================================
 # Parse arguments
 # ============================================================================
 for arg in "$@"; do
-  case $arg in
-  --refresh-models)
-    REFRESH_MODELS=true
-    shift
-    ;;
-  --skip-build)
-    SKIP_BUILD=true
-    shift
-    ;;
-  --help)
-    print_usage
-    exit 0
-    ;;
-  *)
-    error "Unknown option: $arg"
-    print_usage
-    exit 1
-    ;;
-  esac
+    case $arg in
+        --refresh-models)
+            REFRESH_MODELS=true
+            shift
+            ;;
+        --skip-build)
+            SKIP_BUILD=true
+            shift
+            ;;
+        --help)
+            print_usage
+            exit 0
+            ;;
+        *)
+            error "Unknown option: $arg"
+            print_usage
+            exit 1
+            ;;
+    esac
 done
 
 # ============================================================================
 # Validate environment
 # ============================================================================
 if ! adb shell ":"; then
-  error "ADB shell couldn't run successfully"
-  exit 1
+    error "ADB shell couldn't run successfully"
+    exit 1
 fi
 
 if [ -z "$ANDROID_NDK" ]; then
-  error "ANDROID_NDK is not set"
-  exit 1
+    error "ANDROID_NDK is not set"
+    exit 1
 fi
 
 log "ANDROID_NDK = $ANDROID_NDK"
@@ -229,25 +227,25 @@ log "ANDROID_NDK = $ANDROID_NDK"
 # Build tests
 # ============================================================================
 if [ "$SKIP_BUILD" = false ]; then
-  log "Building tests..."
-  rm -rf build
-  mkdir build
-  cd build
-
-  cmake .. \
-    -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
-    -DANDROID_ABI=$ANDROID_ABI \
-    -DANDROID_PLATFORM=android-34 \
-    -DANDROID_STL=c++_shared
-
-  make
+    log "Building tests..."
+    rm -rf build
+    mkdir build
+    cd build
+
+    cmake .. \
+        -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
+        -DANDROID_ABI=$ANDROID_ABI \
+        -DANDROID_PLATFORM=android-34 \
+        -DANDROID_STL=c++_shared
+
+    make
 else
-  if ! [ -d build ]; then
-    error "Build was skipped and the build directory doesn't exist"
-    exit 1
-  fi
-  log "Skipping build..."
-  cd build
+    if ! [ -d build ]; then
+        error "Build was skipped and the build directory doesn't exist"
+        exit 1
+    fi
+    log "Skipping build..."
+    cd build
 fi
 
 # ============================================================================
@@ -261,10 +259,10 @@ adb shell "mkdir -p $DEVICE_TEST_DIR"
 # ============================================================================
 log "Pushing test executables to device..."
 for test_exe in "${TEST_EXECUTABLES[@]}"; do
-  if [ -f "$test_exe" ]; then
-    push_file "$test_exe" "$DEVICE_TEST_DIR/"
-    adb shell "chmod +x $DEVICE_TEST_DIR/$test_exe"
-  fi
+    if [ -f "$test_exe" ]; then
+        push_file "$test_exe" "$DEVICE_TEST_DIR/"
+        adb shell "chmod +x $DEVICE_TEST_DIR/$test_exe"
+    fi
 done
 
 # ============================================================================
@@ -272,7 +270,7 @@ done
 # ============================================================================
 log "Pushing test assets to device..."
 for asset in "${TEST_ASSETS[@]}"; do
-  push_file "../$asset" "$DEVICE_TEST_DIR/"
+    push_file "../$asset" "$DEVICE_TEST_DIR/"
 done
 
 # ============================================================================
@@ -282,8 +280,8 @@ log "Downloading models (use --refresh-models to force re-download)..."
 mkdir -p "$MODELS_DIR"
 
 for entry in "${MODELS[@]}"; do
-  IFS='|' read -r filename url <<<"$entry"
-  download_if_needed "$url" "$filename"
+    IFS='|' read -r filename url <<<"$entry"
+    download_if_needed "$url" "$filename"
 done
 
 # ============================================================================
@@ -291,9 +289,9 @@ done
 # ============================================================================
 log "Pushing models to device..."
 for model in "$MODELS_DIR"/*; do
-  if [ -f "$model" ]; then
-    push_file "$model" "$DEVICE_TEST_DIR/"
-  fi
+    if [ -f "$model" ]; then
+        push_file "$model" "$DEVICE_TEST_DIR/"
+    fi
 done
 
 # ============================================================================
@@ -302,19 +300,19 @@ done
 log "Pushing shared libraries to device..."
 
 for lib_entry in "${REQUIRED_LIBS[@]}"; do
-  IFS=':' read -r src dest <<<"$lib_entry"
-  if [ -f "$src" ]; then
-    push_file "$src" "$DEVICE_TEST_DIR/$dest"
-  fi
+    IFS=':' read -r src dest <<<"$lib_entry"
+    if [ -f "$src" ]; then
+        push_file "$src" "$DEVICE_TEST_DIR/$dest"
+    fi
 done
 
 for lib_entry in "${GRADLE_LIBS[@]}"; do
-  IFS=':' read -r src dest <<<"$lib_entry"
-  if [ -f "$src" ]; then
-    push_file "$src" "$DEVICE_TEST_DIR/"
-  else
-    error "Library not found: $src"
-  fi
+    IFS=':' read -r src dest <<<"$lib_entry"
+    if [ -f "$src" ]; then
+        push_file "$src" "$DEVICE_TEST_DIR/"
+    else
+        error "Library not found: $src"
+    fi
 done
 
 # ============================================================================
@@ -323,9 +321,9 @@ done
 log "Running tests on device..."
 FAILED=0
 for test_exe in "${TEST_EXECUTABLES[@]}"; do
-  if ! run_test "$test_exe"; then
-    FAILED=1
-  fi
+    if ! run_test "$test_exe"; then
+        FAILED=1
+    fi
 done
 
 # ============================================================================
@@ -337,9 +335,9 @@ adb shell "rm -rf $DEVICE_TEST_DIR"
 cd ..
 
 if [ $FAILED -eq 0 ]; then
-  log "All tests passed!"
+    log "All tests passed!"
 else
-  error "Some tests failed"
+    error "Some tests failed"
 fi
 
 exit $FAILED
diff --git a/packages/react-native-executorch/src/constants/commonVision.ts b/packages/react-native-executorch/src/constants/commonVision.ts
index 3097e33c63..ffe59372ef 100644
--- a/packages/react-native-executorch/src/constants/commonVision.ts
+++ b/packages/react-native-executorch/src/constants/commonVision.ts
@@ -4,8 +4,13 @@ export const IMAGENET1K_MEAN: Triple<number> = [0.485, 0.456, 0.406];
 export const IMAGENET1K_STD: Triple<number> = [0.229, 0.224, 0.225];
 
 /**
- * COCO dataset class labels used for object detection.
+ * COCO dataset class labels used by **RF-DETR** and **SSDLite** object detection models.
  *
+ * This enum is **1-indexed** and contains **91 classes**, matching the original COCO
+ * dataset category IDs. For **YOLO** models (object detection or instance segmentation),
+ * use {@link CocoLabelYolo} instead — a 0-indexed, 80-class variant.
+ *
+ * @see {@link CocoLabelYolo} for the YOLO-specific variant
  * @category Types
  */
 export enum CocoLabel {
@@ -102,8 +107,17 @@ export enum CocoLabel {
 }
 
 /**
- * COCO dataset class labels used for Yolo instance segmentation and object detection.
+ * COCO dataset class labels used by **YOLO** models for instance segmentation and object detection.
+ *
+ * This enum is **0-indexed** (values start at 0) and contains exactly **80 classes** —
+ * the standard COCO detection subset without gaps. This differs from {@link CocoLabel},
+ * which is 1-indexed with 91 classes and includes extra categories not present in the
+ * YOLO label set.
+ *
+ * Use this enum when working with YOLO models (e.g. `yolo26n-seg`).
+ * For RF-DETR or SSDLite models, use {@link CocoLabel}.
  *
+ * @see {@link CocoLabel} for the RF-DETR / SSDLite variant
  * @category Types
  */
 export enum CocoLabelYolo {
@@ -116,10 +130,10 @@ export enum CocoLabelYolo {
   TRAIN = 6,
   TRUCK = 7,
   BOAT = 8,
-  TRAFFICLIGHT = 9,
-  FIREHYDRANT = 10,
-  STOPSIGN = 11,
-  PARKINGMETER = 12,
+  TRAFFIC_LIGHT = 9,
+  FIRE_HYDRANT = 10,
+  STOP_SIGN = 11,
+  PARKING_METER = 12,
   BENCH = 13,
   BIRD = 14,
   CAT = 15,
@@ -139,15 +153,15 @@ export enum CocoLabelYolo {
   FRISBEE = 29,
   SKIS = 30,
   SNOWBOARD = 31,
-  SPORTSBALL = 32,
+  SPORTS_BALL = 32,
   KITE = 33,
-  BASEBALLBAT = 34,
-  BASEBALLGLOVE = 35,
+  BASEBALL_BAT = 34,
+  BASEBALL_GLOVE = 35,
   SKATEBOARD = 36,
   SURFBOARD = 37,
-  TENNISRACKET = 38,
+  TENNIS_RACKET = 38,
   BOTTLE = 39,
-  WINEGLASS = 40,
+  WINE_GLASS = 40,
   CUP = 41,
   FORK = 42,
   KNIFE = 43,
@@ -159,22 +173,22 @@ export enum CocoLabelYolo {
   ORANGE = 49,
   BROCCOLI = 50,
   CARROT = 51,
-  HOTDOG = 52,
+  HOT_DOG = 52,
   PIZZA = 53,
   DONUT = 54,
   CAKE = 55,
   CHAIR = 56,
   COUCH = 57,
-  POTTEDPLANT = 58,
+  POTTED_PLANT = 58,
   BED = 59,
-  DININGTABLE = 60,
+  DINING_TABLE = 60,
   TOILET = 61,
   TV = 62,
   LAPTOP = 63,
   MOUSE = 64,
   REMOTE = 65,
   KEYBOARD = 66,
-  CELLPHONE = 67,
+  CELL_PHONE = 67,
   MICROWAVE = 68,
   OVEN = 69,
   TOASTER = 70,
@@ -184,7 +198,7 @@ export enum CocoLabelYolo {
   CLOCK = 74,
   VASE = 75,
   SCISSORS = 76,
-  TEDDYBEAR = 77,
-  HAIRDRIER = 78,
+  TEDDY_BEAR = 77,
+  HAIR_DRIER = 78,
   TOOTHBRUSH = 79,
 }

From 2fdbed721e66f33d7a0390b2c54e7582e8da0641 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Wed, 11 Mar 2026 19:29:41 +0100
Subject: [PATCH 22/56] Add RFDetr-segmentation model, change
 preprocessorConfig types

---
 .../app/instance_segmentation/index.tsx       | 37 ++++++++++----
 .../src/constants/modelUrls.ts                | 10 +++-
 .../useInstanceSegmentation.ts                | 21 +++++---
 packages/react-native-executorch/src/index.ts |  4 +-
 .../InstanceSegmentationModule.ts             | 50 +++++++++++++++----
 .../src/types/instanceSegmentation.ts         | 15 ++++--
 6 files changed, 103 insertions(+), 34 deletions(-)

diff --git a/apps/computer-vision/app/instance_segmentation/index.tsx b/apps/computer-vision/app/instance_segmentation/index.tsx
index 633fa780e5..6c85d6bf60 100644
--- a/apps/computer-vision/app/instance_segmentation/index.tsx
+++ b/apps/computer-vision/app/instance_segmentation/index.tsx
@@ -17,27 +17,40 @@ import ImageWithMasks, {
   DisplayInstance,
 } from '../../components/ImageWithMasks';
 
-const AVAILABLE_INPUT_SIZES = [384, 512, 640];
-
 export default function InstanceSegmentationScreen() {
   const { setGlobalGenerating } = useContext(GeneratingContext);
 
-  const { isReady, isGenerating, downloadProgress, forward, error } =
-    useInstanceSegmentation({
-      model: YOLO26N_SEG,
-    });
+  const {
+    isReady,
+    isGenerating,
+    downloadProgress,
+    forward,
+    error,
+    getAvailableInputSizes,
+  } = useInstanceSegmentation({
+    model: YOLO26N_SEG,
+  });
 
   const [imageUri, setImageUri] = useState('');
   const [imageSize, setImageSize] = useState({ width: 0, height: 0 });
   const [instances, setInstances] = useState<DisplayInstance[]>([]);
-  const [selectedInputSize, setSelectedInputSize] = useState(
-    AVAILABLE_INPUT_SIZES[0]
+  const [selectedInputSize, setSelectedInputSize] = useState<number | null>(
+    null
   );
 
+  const availableInputSizes = getAvailableInputSizes();
+
   useEffect(() => {
     setGlobalGenerating(isGenerating);
   }, [isGenerating, setGlobalGenerating]);
 
+  // Set default input size when model is ready
+  useEffect(() => {
+    if (isReady && availableInputSizes && availableInputSizes.length > 0) {
+      setSelectedInputSize(availableInputSizes[0]);
+    }
+  }, [isReady, availableInputSizes]);
+
   const handleCameraPress = async (isCamera: boolean) => {
     const image = await getImage(isCamera);
     if (!image?.uri) return;
@@ -58,9 +71,11 @@ export default function InstanceSegmentationScreen() {
         iouThreshold: 0.55,
         maxInstances: 20,
         returnMaskAtOriginalResolution: true,
-        inputSize: selectedInputSize,
+        inputSize: selectedInputSize ?? undefined,
       });
 
+      console.log('Output is ', output[0].label);
+
       // Convert raw masks → small Skia images immediately.
       // Raw Uint8Array mask buffers (backed by native OwningArrayBuffer)
       // go out of scope here and become eligible for GC right away.
@@ -105,7 +120,7 @@ export default function InstanceSegmentationScreen() {
           />
         </View>
 
-        {imageUri && (
+        {imageUri && availableInputSizes && availableInputSizes.length > 0 && (
           <View style={styles.inputSizeContainer}>
             <Text style={styles.inputSizeLabel}>Input Size:</Text>
             <ScrollView
@@ -113,7 +128,7 @@ export default function InstanceSegmentationScreen() {
               showsHorizontalScrollIndicator={false}
               style={styles.inputSizeScroll}
             >
-              {AVAILABLE_INPUT_SIZES.map((size) => (
+              {availableInputSizes.map((size) => (
                 <TouchableOpacity
                   key={size}
                   style={[
diff --git a/packages/react-native-executorch/src/constants/modelUrls.ts b/packages/react-native-executorch/src/constants/modelUrls.ts
index b4c84ed2ea..fb7b8fe91d 100644
--- a/packages/react-native-executorch/src/constants/modelUrls.ts
+++ b/packages/react-native-executorch/src/constants/modelUrls.ts
@@ -814,7 +814,7 @@ const YOLO26S_SEG_MODEL = `${URL_PREFIX}-yolo26-seg/${NEXT_VERSION_TAG}/yolo26s-
 const YOLO26M_SEG_MODEL = `${URL_PREFIX}-yolo26-seg/${NEXT_VERSION_TAG}/yolo26m-seg/xnnpack/yolo26m-seg.pte`;
 const YOLO26L_SEG_MODEL = `${URL_PREFIX}-yolo26-seg/${NEXT_VERSION_TAG}/yolo26l-seg/xnnpack/yolo26l-seg.pte`;
 const YOLO26X_SEG_MODEL = `${URL_PREFIX}-yolo26-seg/${NEXT_VERSION_TAG}/yolo26x-seg/xnnpack/yolo26x-seg.pte`;
-
+const RF_DETR_SEG_MODEL = `${URL_PREFIX}-rfdetr-nano-segmentation/${NEXT_VERSION_TAG}/rfdetr_segmentation.pte`;
 /**
  * @category Models - Instance Segmentation
  */
@@ -855,6 +855,14 @@ export const YOLO26X_SEG = {
   modelSource: YOLO26X_SEG_MODEL,
 } as const;
 
+/**
+ * @category Models - Instance Segmentation
+ */
+export const RF_DETR_SEG = {
+  modelName: 'rfdetr-seg',
+  modelSource: RF_DETR_SEG_MODEL,
+} as const;
+
 // Image Embeddings
 const CLIP_VIT_BASE_PATCH32_IMAGE_MODEL = `${URL_PREFIX}-clip-vit-base-patch32/${NEXT_VERSION_TAG}/xnnpack/clip_vit_base_patch32_vision_xnnpack_fp32.pte`;
 const CLIP_VIT_BASE_PATCH32_IMAGE_QUANTIZED_MODEL = `${URL_PREFIX}-clip-vit-base-patch32/${NEXT_VERSION_TAG}/xnnpack/clip_vit_base_patch32_vision_xnnpack_int8.pte`;
diff --git a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
index c8febc01da..d1ae44d118 100644
--- a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
+++ b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
@@ -47,23 +47,32 @@ export const useInstanceSegmentation = <
 }: InstanceSegmentationProps<C>): InstanceSegmentationType<
   InstanceSegmentationLabels<C['modelName']>
 > => {
-  const { error, isReady, isGenerating, downloadProgress, runForward } =
-    useModuleFactory<InstanceSegmentationModule<InstanceModelNameOf<C>>, C>({
-      factory: InstanceSegmentationModule.fromModelName,
-      config: model,
-      preventLoad,
-    });
+  const {
+    error,
+    isReady,
+    isGenerating,
+    downloadProgress,
+    runForward,
+    instance,
+  } = useModuleFactory<InstanceSegmentationModule<InstanceModelNameOf<C>>, C>({
+    factory: InstanceSegmentationModule.fromModelName,
+    config: model,
+    preventLoad,
+  });
 
   const forward: InstanceSegmentationType<
     InstanceSegmentationLabels<C['modelName']>
   >['forward'] = (imageSource, options) =>
     runForward((instance) => instance.forward(imageSource, options) as any);
 
+  const getAvailableInputSizes = () => instance?.getAvailableInputSizes();
+
   return {
     error,
     isReady,
     isGenerating,
     downloadProgress,
     forward,
+    getAvailableInputSizes,
   };
 };
diff --git a/packages/react-native-executorch/src/index.ts b/packages/react-native-executorch/src/index.ts
index 65fdb6af38..fd91af5376 100644
--- a/packages/react-native-executorch/src/index.ts
+++ b/packages/react-native-executorch/src/index.ts
@@ -46,8 +46,8 @@ declare global {
   var loadClassification: (source: string) => Promise<any>;
   var loadInstanceSegmentation: (
     source: string,
-    normMean: number[] | [],
-    normStd: number[] | [],
+    normMean: Triple<number> | [],
+    normStd: Triple<number> | [],
     applyNMS: boolean
   ) => any;
   var loadObjectDetection: (
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index f665226f15..56b7b40f1c 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -11,14 +11,32 @@ import {
 import { RnExecutorchErrorCode } from '../../errors/ErrorCodes';
 import { RnExecutorchError } from '../../errors/errorUtils';
 import { BaseLabeledModule, fetchModelPath } from '../BaseLabeledModule';
-import { CocoLabelYolo } from '../../constants/commonVision';
+import {
+  CocoLabel,
+  CocoLabelYolo,
+  IMAGENET1K_MEAN,
+  IMAGENET1K_STD,
+} from '../../constants/commonVision';
 
 const YOLO_SEG_CONFIG: InstanceSegmentationConfig<typeof CocoLabelYolo> = {
+  preprocessorConfig: undefined,
   labelMap: CocoLabelYolo,
   availableInputSizes: [384, 512, 640] as const,
   defaultInputSize: 384,
   defaultConfidenceThreshold: 0.5,
   defaultIouThreshold: 0.5,
+  postprocessorConfig: {
+    applyNMS: false,
+  },
+};
+
+const RF_DETR_SEG_CONFIG: InstanceSegmentationConfig<typeof CocoLabel> = {
+  preprocessorConfig: { normMean: IMAGENET1K_MEAN, normStd: IMAGENET1K_STD },
+  labelMap: CocoLabel,
+  availableInputSizes: undefined,
+  defaultInputSize: undefined, //RFDetr exposes only one method named forward
+  defaultConfidenceThreshold: 0.5,
+  defaultIouThreshold: 0.5,
   postprocessorConfig: {
     applyNMS: true,
   },
@@ -51,6 +69,7 @@ const ModelConfigs = {
   'yolo26m-seg': YOLO_SEG_CONFIG,
   'yolo26l-seg': YOLO_SEG_CONFIG,
   'yolo26x-seg': YOLO_SEG_CONFIG,
+  'rfdetr-seg': RF_DETR_SEG_CONFIG,
 } as const;
 
 /** @internal */
@@ -157,7 +176,7 @@ export class InstanceSegmentationModule<
 
     const { indexToLabel, minValue } = buildClassIndexMap(modelConfig.labelMap);
 
-    const nativeModule = global.loadInstanceSegmentation(
+    const nativeModule = await global.loadInstanceSegmentation(
       path,
       modelConfig.preprocessorConfig?.normMean || [],
       modelConfig.preprocessorConfig?.normStd || [],
@@ -214,7 +233,7 @@ export class InstanceSegmentationModule<
 
     const { indexToLabel, minValue } = buildClassIndexMap(config.labelMap);
 
-    const nativeModule = global.loadInstanceSegmentation(
+    const nativeModule = await global.loadInstanceSegmentation(
       path,
       config.preprocessorConfig?.normMean || [],
       config.preprocessorConfig?.normStd || [],
@@ -230,6 +249,21 @@ export class InstanceSegmentationModule<
     );
   }
 
+  /**
+   * Returns the available input sizes for this model, or undefined if the model accepts any size.
+   *
+   * @returns An array of available input sizes, or undefined if not constrained.
+   *
+   * @example
+   * ```ts
+   * const sizes = segmentation.getAvailableInputSizes();
+   * console.log(sizes); // [384, 512, 640] for YOLO models, or undefined for RF-DETR
+   * ```
+   */
+  getAvailableInputSizes(): readonly number[] | undefined {
+    return this.modelConfig.availableInputSizes;
+  }
+
   /**
    * Executes the model's forward pass to perform instance segmentation on the provided image.
    *
@@ -303,7 +337,6 @@ export class InstanceSegmentationModule<
         })
       : [];
 
-    const startTime = performance.now();
     const nativeResult: NativeSegmentedInstance[] =
       await this.nativeModule.generate(
         imageSource,
@@ -314,18 +347,15 @@ export class InstanceSegmentationModule<
         returnMaskAtOriginalResolution,
         methodName
       );
-    const inferenceTime = performance.now() - startTime;
-    console.log(
-      `[InstanceSegmentation] Inference: ${inferenceTime.toFixed(2)}ms | Method: ${methodName} | Detected: ${nativeResult.length} instances`
-    );
 
     return nativeResult.map((inst) => ({
       bbox: inst.bbox,
       mask: inst.mask,
       maskWidth: inst.maskWidth,
       maskHeight: inst.maskHeight,
-      label: (this.classIndexToLabel.get(inst.classIndex) ??
-        String(inst.classIndex)) as keyof ResolveLabels<T>,
+      label: (this.classIndexToLabel.get(
+        inst.classIndex - this.labelEnumOffset
+      ) ?? String(inst.classIndex)) as keyof ResolveLabels<T>,
       score: inst.score,
       instanceId: inst.instanceId,
     }));
diff --git a/packages/react-native-executorch/src/types/instanceSegmentation.ts b/packages/react-native-executorch/src/types/instanceSegmentation.ts
index dff441cd75..d33221ada9 100644
--- a/packages/react-native-executorch/src/types/instanceSegmentation.ts
+++ b/packages/react-native-executorch/src/types/instanceSegmentation.ts
@@ -1,5 +1,5 @@
 import { RnExecutorchError } from '../errors/errorUtils';
-import { LabelEnum, ResourceSource } from './common';
+import { LabelEnum, ResourceSource, Triple } from './common';
 import { Bbox } from './objectDetection';
 
 /**
@@ -87,8 +87,8 @@ export interface InstanceSegmentationOptions<L extends LabelEnum> {
 export type InstanceSegmentationConfig<T extends LabelEnum> = {
   labelMap: T;
   preprocessorConfig?: {
-    normMean?: [number, number, number];
-    normStd?: [number, number, number];
+    normMean?: Triple<number>;
+    normStd?: Triple<number>;
   };
   postprocessorConfig?: { applyNMS?: boolean };
   defaultConfidenceThreshold?: number;
@@ -115,7 +115,8 @@ export type InstanceSegmentationModelSources =
   | { modelName: 'yolo26s-seg'; modelSource: ResourceSource }
   | { modelName: 'yolo26m-seg'; modelSource: ResourceSource }
   | { modelName: 'yolo26l-seg'; modelSource: ResourceSource }
-  | { modelName: 'yolo26x-seg'; modelSource: ResourceSource };
+  | { modelName: 'yolo26x-seg'; modelSource: ResourceSource }
+  | { modelName: 'rfdetr-seg'; modelSource: ResourceSource };
 
 /**
  * Union of all built-in instance segmentation model names.
@@ -189,4 +190,10 @@ export interface InstanceSegmentationType<L extends LabelEnum> {
     imageSource: string,
     options?: InstanceSegmentationOptions<L>
   ) => Promise<SegmentedInstance<L>[]>;
+
+  /**
+   * Returns the available input sizes for this model, or undefined if the model accepts single forward input size.
+   * @returns An array of available input sizes, or undefined if not constrained.
+   */
+  getAvailableInputSizes: () => readonly number[] | undefined;
 }

From 8da74051fc716db2efd063d0d5265960a610a6f1 Mon Sep 17 00:00:00 2001
From: Bartek <116185412+benITo47@users.noreply.github.com>
Date: Wed, 11 Mar 2026 19:36:18 +0100
Subject: [PATCH 23/56] Update docs/docs/02-benchmarks/inference-time.md

Co-authored-by: Norbert Klockiewicz <Nklockiewicz12@gmail.com>
---
 docs/docs/02-benchmarks/inference-time.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/docs/docs/02-benchmarks/inference-time.md b/docs/docs/02-benchmarks/inference-time.md
index 3e9d254e97..6877402b67 100644
--- a/docs/docs/02-benchmarks/inference-time.md
+++ b/docs/docs/02-benchmarks/inference-time.md
@@ -221,11 +221,11 @@ Times presented in the tables are measured for forward method with input size eq
 
 | Model       | Samsung Galaxy S24 (XNNPACK) [ms] | Iphone 17 pro (XNNPACK) [ms] |
 | ----------- | --------------------------------- | ---------------------------- |
-| YOLO26n_SEG | 92                                | 90                           |
-| YOLO26s_SEG | 220                               | 188                          |
-| YOLO26m_SEG | 570                               | 550                          |
-| YOLO26l_SEG | 680                               | 608                          |
-| YOLO26x_SEG | 1410                              | 1338                         |
+| YOLO26N_SEG | 92                                | 90                           |
+| YOLO26S_SEG | 220                               | 188                          |
+| YOLO26M_SEG | 570                               | 550                          |
+| YOLO26L_SEG | 680                               | 608                          |
+| YOLO26X_SEG | 1410                              | 1338                         |
 
 ## Text to image
 

From 504c9d9596f8447b6697d8740ba51da2832c149e Mon Sep 17 00:00:00 2001
From: Bartek <116185412+benITo47@users.noreply.github.com>
Date: Wed, 11 Mar 2026 19:36:30 +0100
Subject: [PATCH 24/56] Update docs/docs/02-benchmarks/memory-usage.md

Co-authored-by: Norbert Klockiewicz <Nklockiewicz12@gmail.com>
---
 docs/docs/02-benchmarks/memory-usage.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/docs/docs/02-benchmarks/memory-usage.md b/docs/docs/02-benchmarks/memory-usage.md
index 23200933e5..93f01b454c 100644
--- a/docs/docs/02-benchmarks/memory-usage.md
+++ b/docs/docs/02-benchmarks/memory-usage.md
@@ -175,11 +175,11 @@ Data presented in the following sections is based on inference with forward_640
 
 | Model       | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
 | ----------- | ---------------------- | ------------------ |
-| YOLO26n_SEG | 92                     | 668                |
-| YOLO26s_SEG | 220                    | 712                |
-| YOLO26m_SEG | 570                    | 815                |
-| YOLO26l_SEG | 680                    | 1024               |
-| YOLO26x_SEG | 1410                   | 1450               |
+| YOLO26N_SEG | 92                     | 668                |
+| YOLO26S_SEG | 220                    | 712                |
+| YOLO26M_SEG | 570                    | 815                |
+| YOLO26L_SEG | 680                    | 1024               |
+| YOLO26X_SEG | 1410                   | 1450               |
 
 ## Text to image
 

From 9e2bea4850bac11f2ee62d87193e789b1d3946c6 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Wed, 11 Mar 2026 19:58:25 +0100
Subject: [PATCH 25/56] Restore docs

---
 .../useSemanticSegmentation.md                | 19 ++++++++++++-------
 .../SemanticSegmentationModule.md             |  4 ++--
 2 files changed, 14 insertions(+), 9 deletions(-)

diff --git a/docs/docs/03-hooks/02-computer-vision/useSemanticSegmentation.md b/docs/docs/03-hooks/02-computer-vision/useSemanticSegmentation.md
index 5828c1092c..dc654369c7 100644
--- a/docs/docs/03-hooks/02-computer-vision/useSemanticSegmentation.md
+++ b/docs/docs/03-hooks/02-computer-vision/useSemanticSegmentation.md
@@ -5,13 +5,13 @@ title: useSemanticSegmentation
 Semantic semantic segmentation, akin to image classification, tries to assign the content of the image to one of the predefined classes. However, in case of segmentation this classification is done on a per-pixel basis, so as the result the model provides an image-sized array of scores for each of the classes. You can then use this information to detect objects on a per-pixel basis. React Native ExecuTorch offers a dedicated hook `useSemanticSegmentation` for this task.
 
 :::warning
-It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/image-segmentation-68d5291bdf4a30bee0220f4f), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/semantic-segmentation-68d5291bdf4a30bee0220f4f), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
 
 - For detailed API Reference for `useSemanticSegmentation` see: [`useSemanticSegmentation` API Reference](../../06-api-reference/functions/useSemanticSegmentation.md).
-- For all semantic segmentation models available out-of-the-box in React Native ExecuTorch see: [Semantic Segmentation Models](../../06-api-reference/index.md#models---image-segmentation).
+- For all semantic segmentation models available out-of-the-box in React Native ExecuTorch see: [Semantic Segmentation Models](../../06-api-reference/index.md#models---semantic-segmentation).
 
 ## High Level Overview
 
@@ -49,7 +49,7 @@ The hook is generic over the model config — TypeScript automatically infers th
 You need more details? Check the following resources:
 
 - For detailed information about `useSemanticSegmentation` arguments check this section: [`useSemanticSegmentation` arguments](../../06-api-reference/functions/useSemanticSegmentation.md#parameters).
-- For all semantic segmentation models available out-of-the-box in React Native ExecuTorch see: [Semantic Segmentation Models](../../06-api-reference/index.md#models---image-segmentation).
+- For all semantic segmentation models available out-of-the-box in React Native ExecuTorch see: [Semantic Segmentation Models](../../06-api-reference/index.md#models---semantic-segmentation).
 - For more information on loading resources, take a look at [loading models](../../01-fundamentals/02-loading-models.md) page.
 
 ### Returns
@@ -121,7 +121,12 @@ See the full guide: [VisionCamera Integration](./visioncamera-integration.md).
 
 ## Supported models
 
-| Model                                                                                            | Number of classes | Class list                                                                                |
-| ------------------------------------------------------------------------------------------------ | ----------------- | ----------------------------------------------------------------------------------------- |
-| [deeplabv3_resnet50](https://huggingface.co/software-mansion/react-native-executorch-deeplab-v3) | 21                | [DeeplabLabel](../../06-api-reference/enumerations/DeeplabLabel.md)                       |
-| selfie-segmentation                                                                              | 2                 | [SelfieSegmentationLabel](../../06-api-reference/enumerations/SelfieSegmentationLabel.md) |
+| Model                                                                                                       | Number of classes | Class list                                                                                | Quantized |
+| ----------------------------------------------------------------------------------------------------------- | ----------------- | ----------------------------------------------------------------------------------------- | :-------: |
+| [deeplab-v3-resnet50](https://huggingface.co/software-mansion/react-native-executorch-deeplab-v3)           | 21                | [DeeplabLabel](../../06-api-reference/enumerations/DeeplabLabel.md)                       |    Yes    |
+| [deeplab-v3-resnet101](https://huggingface.co/software-mansion/react-native-executorch-deeplab-v3)          | 21                | [DeeplabLabel](../../06-api-reference/enumerations/DeeplabLabel.md)                       |    Yes    |
+| [deeplab-v3-mobilenet-v3-large](https://huggingface.co/software-mansion/react-native-executorch-deeplab-v3) | 21                | [DeeplabLabel](../../06-api-reference/enumerations/DeeplabLabel.md)                       |    Yes    |
+| [lraspp-mobilenet-v3-large](https://huggingface.co/software-mansion/react-native-executorch-lraspp)         | 21                | [DeeplabLabel](../../06-api-reference/enumerations/DeeplabLabel.md)                       |    Yes    |
+| [fcn-resnet50](https://huggingface.co/software-mansion/react-native-executorch-fcn)                         | 21                | [DeeplabLabel](../../06-api-reference/enumerations/DeeplabLabel.md)                       |    Yes    |
+| [fcn-resnet101](https://huggingface.co/software-mansion/react-native-executorch-fcn)                        | 21                | [DeeplabLabel](../../06-api-reference/enumerations/DeeplabLabel.md)                       |    Yes    |
+| [selfie-segmentation](https://huggingface.co/software-mansion/react-native-executorch-selfie-segmentation)  | 2                 | [SelfieSegmentationLabel](../../06-api-reference/enumerations/SelfieSegmentationLabel.md) |    No     |
diff --git a/docs/docs/04-typescript-api/02-computer-vision/SemanticSegmentationModule.md b/docs/docs/04-typescript-api/02-computer-vision/SemanticSegmentationModule.md
index 186bafd16c..4bf2129ac1 100644
--- a/docs/docs/04-typescript-api/02-computer-vision/SemanticSegmentationModule.md
+++ b/docs/docs/04-typescript-api/02-computer-vision/SemanticSegmentationModule.md
@@ -7,7 +7,7 @@ TypeScript API implementation of the [useSemanticSegmentation](../../03-hooks/02
 ## API Reference
 
 - For detailed API Reference for `SemanticSegmentationModule` see: [`SemanticSegmentationModule` API Reference](../../06-api-reference/classes/SemanticSegmentationModule.md).
-- For all semantic segmentation models available out-of-the-box in React Native ExecuTorch see: [Semantic Segmentation Models](../../06-api-reference/index.md#models---image-segmentation).
+- For all semantic segmentation models available out-of-the-box in React Native ExecuTorch see: [Semantic Segmentation Models](../../06-api-reference/index.md#models---semantic-segmentation).
 
 ## High Level Overview
 
@@ -47,7 +47,7 @@ const segmentation = await SemanticSegmentationModule.fromModelName(
 );
 ```
 
-The `config` parameter is a discriminated union — TypeScript ensures you provide the correct fields for each model name. Available built-in models: `'deeplab-v3'`, `'selfie-segmentation'`.
+The `config` parameter is a discriminated union — TypeScript ensures you provide the correct fields for each model name. Available built-in models: `'deeplab-v3-resnet50'`, `'deeplab-v3-resnet50-quantized'`, `'deeplab-v3-resnet101'`, `'deeplab-v3-resnet101-quantized'`, `'deeplab-v3-mobilenet-v3-large'`, `'deeplab-v3-mobilenet-v3-large-quantized'`, `'lraspp-mobilenet-v3-large'`, `'lraspp-mobilenet-v3-large-quantized'`, `'fcn-resnet50'`, `'fcn-resnet50-quantized'`, `'fcn-resnet101'`, `'fcn-resnet101-quantized'`, and `'selfie-segmentation'`.
 
 ### Custom models — `fromCustomModel`
 

From 4d167163318b3925d8d06f716f2dfcf6325bc2a8 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Wed, 11 Mar 2026 20:28:42 +0100
Subject: [PATCH 26/56] Review fixes for InstanceSegmentationModule

---
 .../InstanceSegmentationModule.ts                | 16 ++++++++++------
 1 file changed, 10 insertions(+), 6 deletions(-)

diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index 56b7b40f1c..2c1b3c2622 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -10,7 +10,11 @@ import {
 } from '../../types/instanceSegmentation';
 import { RnExecutorchErrorCode } from '../../errors/ErrorCodes';
 import { RnExecutorchError } from '../../errors/errorUtils';
-import { BaseLabeledModule, fetchModelPath } from '../BaseLabeledModule';
+import {
+  BaseLabeledModule,
+  fetchModelPath,
+  ResolveLabels as ResolveLabelsFor,
+} from '../BaseLabeledModule';
 import {
   CocoLabel,
   CocoLabelYolo,
@@ -18,7 +22,7 @@ import {
   IMAGENET1K_STD,
 } from '../../constants/commonVision';
 
-const YOLO_SEG_CONFIG: InstanceSegmentationConfig<typeof CocoLabelYolo> = {
+const YOLO_SEG_CONFIG = {
   preprocessorConfig: undefined,
   labelMap: CocoLabelYolo,
   availableInputSizes: [384, 512, 640] as const,
@@ -28,9 +32,9 @@ const YOLO_SEG_CONFIG: InstanceSegmentationConfig<typeof CocoLabelYolo> = {
   postprocessorConfig: {
     applyNMS: false,
   },
-};
+} satisfies InstanceSegmentationConfig<typeof CocoLabelYolo>;
 
-const RF_DETR_SEG_CONFIG: InstanceSegmentationConfig<typeof CocoLabel> = {
+const RF_DETR_SEG_CONFIG = {
   preprocessorConfig: { normMean: IMAGENET1K_MEAN, normStd: IMAGENET1K_STD },
   labelMap: CocoLabel,
   availableInputSizes: undefined,
@@ -40,7 +44,7 @@ const RF_DETR_SEG_CONFIG: InstanceSegmentationConfig<typeof CocoLabel> = {
   postprocessorConfig: {
     applyNMS: true,
   },
-};
+} satisfies InstanceSegmentationConfig<typeof CocoLabel>;
 
 /**
  * Builds a reverse map from 0-based model class index to label key name, and
@@ -92,7 +96,7 @@ export type InstanceSegmentationLabels<
  * from the built-in config; otherwise uses `T` directly as a {@link LabelEnum}.
  */
 type ResolveLabels<T extends InstanceSegmentationModelName | LabelEnum> =
-  T extends InstanceSegmentationModelName ? InstanceSegmentationLabels<T> : T;
+  ResolveLabelsFor<T, ModelConfigsType>;
 
 /**
  * Generic instance segmentation module with type-safe label maps.

From 56a6523b077a5b293495fa5b5176a0ee37adcabc Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Wed, 11 Mar 2026 20:36:05 +0100
Subject: [PATCH 27/56] Change typing in useInstanceSegmentation

---
 .../src/hooks/computer_vision/useInstanceSegmentation.ts  | 8 ++++----
 .../modules/computer_vision/InstanceSegmentationModule.ts | 2 +-
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
index d1ae44d118..fe9dc92e85 100644
--- a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
+++ b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
@@ -5,7 +5,6 @@ import {
 import {
   InstanceSegmentationProps,
   InstanceSegmentationType,
-  InstanceModelNameOf,
   InstanceSegmentationModelSources,
 } from '../../types/instanceSegmentation';
 import { useModuleFactory } from '../useModuleFactory';
@@ -54,8 +53,9 @@ export const useInstanceSegmentation = <
     downloadProgress,
     runForward,
     instance,
-  } = useModuleFactory<InstanceSegmentationModule<InstanceModelNameOf<C>>, C>({
-    factory: InstanceSegmentationModule.fromModelName,
+  } = useModuleFactory({
+    factory: (config, onProgress) =>
+      InstanceSegmentationModule.fromModelName(config, onProgress),
     config: model,
     preventLoad,
   });
@@ -63,7 +63,7 @@ export const useInstanceSegmentation = <
   const forward: InstanceSegmentationType<
     InstanceSegmentationLabels<C['modelName']>
   >['forward'] = (imageSource, options) =>
-    runForward((instance) => instance.forward(imageSource, options) as any);
+    runForward((inst) => inst.forward(imageSource, options));
 
   const getAvailableInputSizes = () => instance?.getAvailableInputSizes();
 
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index 2c1b3c2622..0cfc64a5c7 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -88,7 +88,7 @@ type ModelConfigsType = typeof ModelConfigs;
  */
 export type InstanceSegmentationLabels<
   M extends InstanceSegmentationModelName,
-> = ModelConfigsType[M]['labelMap'];
+> = ResolveLabels<M>;
 
 /**
  * @internal

From ce9cd72c81f27f1475a0f1e73f8d77af53b7c1dc Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Wed, 11 Mar 2026 22:54:17 +0100
Subject: [PATCH 28/56] Split instance segmentation postprocessing, introduce
 CV utils

---
 .../app/instance_segmentation/index.tsx       |   2 -
 .../rnexecutorch/RnExecutorchInstaller.cpp    |   1 -
 .../host_objects/JsiConversions.h             |  20 +-
 .../BaseInstanceSegmentation.cpp              | 308 ++++++++----------
 .../BaseInstanceSegmentation.h                |  27 +-
 .../models/instance_segmentation/Types.h      |  31 +-
 .../integration/InstanceSegmentationTest.cpp  |   9 +-
 .../utils/computer_vision/Processing.cpp      |  39 +++
 .../utils/computer_vision/Processing.h        |  55 ++++
 .../utils/computer_vision/Types.h             |  27 ++
 10 files changed, 317 insertions(+), 202 deletions(-)
 create mode 100644 packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.cpp
 create mode 100644 packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.h
 create mode 100644 packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Types.h

diff --git a/apps/computer-vision/app/instance_segmentation/index.tsx b/apps/computer-vision/app/instance_segmentation/index.tsx
index 6c85d6bf60..e49594eb0a 100644
--- a/apps/computer-vision/app/instance_segmentation/index.tsx
+++ b/apps/computer-vision/app/instance_segmentation/index.tsx
@@ -74,8 +74,6 @@ export default function InstanceSegmentationScreen() {
         inputSize: selectedInputSize ?? undefined,
       });
 
-      console.log('Output is ', output[0].label);
-
       // Convert raw masks → small Skia images immediately.
       // Raw Uint8Array mask buffers (backed by native OwningArrayBuffer)
       // go out of scope here and become eligible for GC right away.
diff --git a/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.cpp b/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.cpp
index 8d2c061485..1239642c5e 100644
--- a/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/RnExecutorchInstaller.cpp
@@ -1,6 +1,5 @@
 #include "RnExecutorchInstaller.h"
 
-#include <iostream>
 #include <rnexecutorch/TokenizerModule.h>
 #include <rnexecutorch/host_objects/JsiConversions.h>
 #include <rnexecutorch/models/classification/Classification.h>
diff --git a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
index b81e8f37f2..acf614d1d3 100644
--- a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
+++ b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
@@ -25,6 +25,7 @@
 #include <rnexecutorch/models/speech_to_text/common/types/TranscriptionResult.h>
 #include <rnexecutorch/models/style_transfer/Types.h>
 #include <rnexecutorch/models/voice_activity_detection/Types.h>
+#include <rnexecutorch/utils/computer_vision/Types.h>
 
 using namespace rnexecutorch::models::speech_to_text;
 
@@ -432,6 +433,16 @@ getJsiValue(const std::unordered_map<std::string_view, float> &map,
   return mapObj;
 }
 
+inline jsi::Value getJsiValue(const utils::computer_vision::BBox &bbox,
+                              jsi::Runtime &runtime) {
+  jsi::Object obj(runtime);
+  obj.setProperty(runtime, "x1", bbox.x1);
+  obj.setProperty(runtime, "y1", bbox.y1);
+  obj.setProperty(runtime, "x2", bbox.x2);
+  obj.setProperty(runtime, "y2", bbox.y2);
+  return obj;
+}
+
 inline jsi::Value getJsiValue(
     const std::vector<models::object_detection::types::Detection> &detections,
     jsi::Runtime &runtime) {
@@ -462,13 +473,8 @@ inline jsi::Value getJsiValue(
   for (std::size_t i = 0; i < instances.size(); ++i) {
     jsi::Object instance(runtime);
 
-    // Bbox
-    jsi::Object bbox(runtime);
-    bbox.setProperty(runtime, "x1", instances[i].x1);
-    bbox.setProperty(runtime, "y1", instances[i].y1);
-    bbox.setProperty(runtime, "x2", instances[i].x2);
-    bbox.setProperty(runtime, "y2", instances[i].y2);
-    instance.setProperty(runtime, "bbox", bbox);
+    instance.setProperty(runtime, "bbox",
+                         getJsiValue(instances[i].bbox, runtime));
 
     // Mask as Uint8Array
     auto maskBuffer = std::make_shared<OwningArrayBuffer>(
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index b188c0ac91..a8b0d7839b 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -1,9 +1,12 @@
 #include "BaseInstanceSegmentation.h"
 
 #include <cmath>
+#include <cstdint>
 #include <rnexecutorch/Error.h>
 #include <rnexecutorch/ErrorCodes.h>
+#include <rnexecutorch/Log.h>
 #include <rnexecutorch/data_processing/ImageProcessing.h>
+#include <rnexecutorch/utils/computer_vision/Processing.h>
 
 namespace rnexecutorch::models::instance_segmentation {
 
@@ -12,85 +15,153 @@ BaseInstanceSegmentation::BaseInstanceSegmentation(
     std::vector<float> normStd, bool applyNMS,
     std::shared_ptr<react::CallInvoker> callInvoker)
     : BaseModel(modelSource, callInvoker), applyNMS_(applyNMS) {
-  avalivableMethods_ = *module_->method_names();
+
   if (normMean.size() == 3) {
     normMean_ = cv::Scalar(normMean[0], normMean[1], normMean[2]);
+  } else if (!normMean.empty()) {
+    log(LOG_LEVEL::Warn,
+        "normMean must have 3 elements — ignoring provided value.");
   }
   if (normStd.size() == 3) {
     normStd_ = cv::Scalar(normStd[0], normStd[1], normStd[2]);
+  } else if (!normStd.empty()) {
+    log(LOG_LEVEL::Warn,
+        "normStd must have 3 elements — ignoring provided value.");
   }
+}
 
-  modelImageSize = cv::Size(416, 416);
+cv::Mat BaseInstanceSegmentation::processMaskFromLogits(
+    const cv::Mat &logitsMat, float x1, float y1, float x2, float y2,
+    cv::Size modelInputSize, cv::Size originalSize, int32_t maskW,
+    int32_t maskH, int32_t bboxW, int32_t bboxH, float origX1, float origY1,
+    bool warpToOriginal, int32_t &outWidth, int32_t &outHeight) {
+
+  float mx1F = x1 * maskW / modelInputSize.width;
+  float my1F = y1 * maskH / modelInputSize.height;
+  float mx2F = x2 * maskW / modelInputSize.width;
+  float my2F = y2 * maskH / modelInputSize.height;
+
+  int32_t mx1 = std::max(0, static_cast<int32_t>(std::floor(mx1F)));
+  int32_t my1 = std::max(0, static_cast<int32_t>(std::floor(my1F)));
+  int32_t mx2 = std::min(maskW, static_cast<int32_t>(std::ceil(mx2F)));
+  int32_t my2 = std::min(maskH, static_cast<int32_t>(std::ceil(my2F)));
+
+  cv::Mat finalBinaryMat;
+  outWidth = bboxW;
+  outHeight = bboxH;
+
+  if (warpToOriginal) {
+    int32_t pmx1 = std::max(0, mx1 - 1);
+    int32_t pmy1 = std::max(0, my1 - 1);
+    int32_t pmx2 = std::min(maskW, mx2 + 1);
+    int32_t pmy2 = std::min(maskH, my2 + 1);
+
+    cv::Mat croppedLogits =
+        logitsMat(cv::Rect(pmx1, pmy1, pmx2 - pmx1, pmy2 - pmy1));
+    cv::Mat probMat;
+    cv::exp(-croppedLogits, probMat);
+    probMat = 255.0f / (1.0f + probMat);
+    probMat.convertTo(probMat, CV_8UC1);
+
+    float maskToOrigX = static_cast<float>(originalSize.width) / maskW;
+    float maskToOrigY = static_cast<float>(originalSize.height) / maskH;
+
+    cv::Mat M =
+        (cv::Mat_<float>(2, 3) << maskToOrigX, 0, (pmx1 * maskToOrigX - origX1),
+         0, maskToOrigY, (pmy1 * maskToOrigY - origY1));
+
+    cv::Mat warpedMat;
+    cv::warpAffine(probMat, warpedMat, M, cv::Size(bboxW, bboxH),
+                   cv::INTER_LINEAR);
+
+    cv::threshold(warpedMat, finalBinaryMat, 127, 1, cv::THRESH_BINARY);
+  } else {
+    cv::Mat croppedLogits = logitsMat(cv::Rect(mx1, my1, mx2 - mx1, my2 - my1));
+    cv::Mat probMat;
+    cv::exp(-croppedLogits, probMat);
+    probMat = 255.0f / (1.0f + probMat);
+    probMat.convertTo(probMat, CV_8UC1);
+
+    cv::threshold(probMat, finalBinaryMat, 127, 1, cv::THRESH_BINARY);
+    outWidth = finalBinaryMat.cols;
+    outHeight = finalBinaryMat.rows;
+  }
+
+  return finalBinaryMat;
 }
 
-float BaseInstanceSegmentation::intersectionOverUnion(
-    const types::InstanceMask &a, const types::InstanceMask &b) {
-  float x1 = std::max(a.x1, b.x1);
-  float y1 = std::max(a.y1, b.y1);
-  float x2 = std::min(a.x2, b.x2);
-  float y2 = std::min(a.y2, b.y2);
+std::optional<types::InstanceMask> BaseInstanceSegmentation::processDetection(
+    int32_t detectionIndex, const float *bboxData, const float *scoresData,
+    const float *maskData, int32_t maskH, int32_t maskW,
+    cv::Size modelInputSize, cv::Size originalSize, float widthRatio,
+    float heightRatio, double confidenceThreshold,
+    const std::set<int32_t> &allowedClasses,
+    bool returnMaskAtOriginalResolution) {
 
-  float intersectionArea = std::max(0.0f, x2 - x1) * std::max(0.0f, y2 - y1);
-  float areaA = (a.x2 - a.x1) * (a.y2 - a.y1);
-  float areaB = (b.x2 - b.x1) * (b.y2 - b.y1);
-  float unionArea = areaA + areaB - intersectionArea;
+  int32_t i = detectionIndex;
 
-  return (unionArea > 0) ? (intersectionArea / unionArea) : 0.0f;
-}
+  float x1 = bboxData[i * 4 + 0];
+  float y1 = bboxData[i * 4 + 1];
+  float x2 = bboxData[i * 4 + 2];
+  float y2 = bboxData[i * 4 + 3];
+  float score = scoresData[i * 2 + 0];
+  auto labelIdx = static_cast<std::size_t>(scoresData[i * 2 + 1]);
 
-std::vector<types::InstanceMask> BaseInstanceSegmentation::nonMaxSuppression(
-    std::vector<types::InstanceMask> instances, double iouThreshold) {
-  if (instances.empty()) {
-    return {};
+  if (score < confidenceThreshold) {
+    return std::nullopt;
+  }
+  if (!allowedClasses.empty() && allowedClasses.find(static_cast<int32_t>(
+                                     labelIdx)) == allowedClasses.end()) {
+    return std::nullopt;
   }
 
-  std::sort(instances.begin(), instances.end(),
-            [](const types::InstanceMask &a, const types::InstanceMask &b) {
-              return a.score > b.score;
-            });
+  // Scale bbox to original image coordinates
+  float origX1 = x1 * widthRatio;
+  float origY1 = y1 * heightRatio;
+  float origX2 = x2 * widthRatio;
+  float origY2 = y2 * heightRatio;
 
-  std::vector<types::InstanceMask> result;
-  std::vector<bool> suppressed(instances.size(), false);
+  int32_t bboxW = static_cast<int32_t>(std::round(origX2 - origX1));
+  int32_t bboxH = static_cast<int32_t>(std::round(origY2 - origY1));
 
-  for (size_t i = 0; i < instances.size(); ++i) {
-    if (suppressed[i]) {
-      continue;
-    }
+  if (bboxW <= 0 || bboxH <= 0) {
+    return std::nullopt;
+  }
 
-    result.push_back(instances[i]);
+  const float *logits = maskData + (i * maskH * maskW);
+  cv::Mat logitsMat(maskH, maskW, CV_32FC1, const_cast<float *>(logits));
 
-    for (size_t j = i + 1; j < instances.size(); ++j) {
-      if (suppressed[j]) {
-        continue;
-      }
+  int32_t finalMaskWidth, finalMaskHeight;
+  cv::Mat finalBinaryMat = processMaskFromLogits(
+      logitsMat, x1, y1, x2, y2, modelInputSize, originalSize, maskW, maskH,
+      bboxW, bboxH, origX1, origY1, returnMaskAtOriginalResolution,
+      finalMaskWidth, finalMaskHeight);
 
-      if (instances[i].classIndex == instances[j].classIndex) {
-        float iou = intersectionOverUnion(instances[i], instances[j]);
-        if (iou > iouThreshold) {
-          suppressed[j] = true;
-        }
-      }
-    }
-  }
+  std::vector<uint8_t> finalMask(finalBinaryMat.data,
+                                 finalBinaryMat.data + finalBinaryMat.total());
 
-  return result;
+  return types::InstanceMask(
+      utils::computer_vision::BBox{origX1, origY1, origX2, origY2},
+      std::move(finalMask), finalMaskWidth, finalMaskHeight,
+      static_cast<int32_t>(labelIdx), score, i);
 }
 
 std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
     const std::vector<EValue> &tensors, cv::Size originalSize,
     cv::Size modelInputSize, double confidenceThreshold, double iouThreshold,
-    int maxInstances, const std::vector<int32_t> &classIndices,
+    int32_t maxInstances, const std::vector<int32_t> &classIndices,
     bool returnMaskAtOriginalResolution) {
 
-  if (confidenceThreshold <= 0 || confidenceThreshold > 1) {
-    throw RnExecutorchError(RnExecutorchErrorCode::InvalidConfig,
-                            "Confidence threshold must be greater than 0 "
-                            "and less than or equal to 1.");
+  if (confidenceThreshold < 0 || confidenceThreshold > 1) {
+    throw RnExecutorchError(
+        RnExecutorchErrorCode::InvalidConfig,
+        "Confidence threshold must be greater or equal to 0 "
+        "and less than or equal to 1.");
   }
 
-  if (iouThreshold <= 0 || iouThreshold > 1) {
+  if (iouThreshold < 0 || iouThreshold > 1) {
     throw RnExecutorchError(RnExecutorchErrorCode::InvalidConfig,
-                            "IoU threshold must be greater than 0 "
+                            "IoU threshold must be greater or equal to 0 "
                             "and less than or equal to 1.");
   }
 
@@ -122,138 +193,39 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
   auto scoresTensor = tensors[1].toTensor(); // [1, N, 2]
   auto maskTensor = tensors[2].toTensor();   // [1, N, H, W]
 
-  int N = bboxTensor.size(1);
-  int maskH = maskTensor.size(2);
-  int maskW = maskTensor.size(3);
+  int32_t N = bboxTensor.size(1);
+  int32_t maskH = maskTensor.size(2);
+  int32_t maskW = maskTensor.size(3);
+  const float *bboxData = bboxTensor.const_data_ptr<float>();
+  const float *scoresData = scoresTensor.const_data_ptr<float>();
+  const float *maskData = maskTensor.const_data_ptr<float>();
 
-  const float *bboxData =
-      static_cast<const float *>(bboxTensor.const_data_ptr());
-  const float *scoresData =
-      static_cast<const float *>(scoresTensor.const_data_ptr());
-  const float *maskData =
-      static_cast<const float *>(maskTensor.const_data_ptr());
   int32_t processed = 0;
 
-  for (int i = 0; i < N; ++i) {
-    float x1 = bboxData[i * 4 + 0];
-    float y1 = bboxData[i * 4 + 1];
-    float x2 = bboxData[i * 4 + 2];
-    float y2 = bboxData[i * 4 + 3];
-    float score = scoresData[i * 2 + 0];
-    auto labelIdx = static_cast<std::size_t>(scoresData[i * 2 + 1]);
-
-    if (score < confidenceThreshold)
-      continue;
-    if (!allowedClasses.empty() && allowedClasses.find(static_cast<int32_t>(
-                                       labelIdx)) == allowedClasses.end())
-      continue;
-
-    // Scale bbox to original image coordinates
-    float origX1 = x1 * widthRatio;
-    float origY1 = y1 * heightRatio;
-    float origX2 = x2 * widthRatio;
-    float origY2 = y2 * heightRatio;
-
-    int bboxW = static_cast<int>(std::round(origX2 - origX1));
-    int bboxH = static_cast<int>(std::round(origY2 - origY1));
-
-    if (bboxW <= 0 || bboxH <= 0)
-      continue;
-
-    // Wrap logits in cv::Mat for vectorized operations
-    const float *logits = maskData + (i * maskH * maskW);
-    cv::Mat logitsMat(maskH, maskW, CV_32FC1, const_cast<float *>(logits));
-
-    // Float bounds in low-res mask space
-    float mx1F = x1 * maskW / modelInputSize.width;
-    float my1F = y1 * maskH / modelInputSize.height;
-    float mx2F = x2 * maskW / modelInputSize.width;
-    float my2F = y2 * maskH / modelInputSize.height;
-
-    // Exact integer bounds (bbox region in mask coordinates)
-    int mx1 = std::max(0, static_cast<int>(std::floor(mx1F)));
-    int my1 = std::max(0, static_cast<int>(std::floor(my1F)));
-    int mx2 = std::min(maskW, static_cast<int>(std::ceil(mx2F)));
-    int my2 = std::min(maskH, static_cast<int>(std::ceil(my2F)));
-
-    if (mx2 <= mx1 || my2 <= my1)
-      continue;
-
-    cv::Mat finalBinaryMat;
-    int finalMaskWidth = bboxW;
-    int finalMaskHeight = bboxH;
-
-    if (returnMaskAtOriginalResolution) {
-      // 1px padding for warpAffine interpolation (prevents edge artifacts)
-      int pmx1 = std::max(0, mx1 - 1);
-      int pmy1 = std::max(0, my1 - 1);
-      int pmx2 = std::min(maskW, mx2 + 1);
-      int pmy2 = std::min(maskH, my2 + 1);
-
-      cv::Mat croppedLogits =
-          logitsMat(cv::Rect(pmx1, pmy1, pmx2 - pmx1, pmy2 - pmy1));
-      cv::Mat probMat;
-      cv::exp(-croppedLogits, probMat);
-      probMat = 255.0f / (1.0f + probMat);
-      probMat.convertTo(probMat, CV_8UC1);
-
-      // Affine matrix mapping padded crop -> bbox in original image space.
-      // Padding pixels fall outside the output and are clipped naturally.
-      float maskToOrigX = static_cast<float>(originalSize.width) / maskW;
-      float maskToOrigY = static_cast<float>(originalSize.height) / maskH;
-
-      cv::Mat M = (cv::Mat_<float>(2, 3) << maskToOrigX, 0,
-                   (pmx1 * maskToOrigX - origX1), 0, maskToOrigY,
-                   (pmy1 * maskToOrigY - origY1));
-
-      cv::Mat warpedMat;
-      cv::warpAffine(probMat, warpedMat, M, cv::Size(bboxW, bboxH),
-                     cv::INTER_LINEAR);
-
-      cv::threshold(warpedMat, finalBinaryMat, 127, 1, cv::THRESH_BINARY);
-    } else {
-      // No padding needed — no interpolation, just threshold
-      cv::Mat croppedLogits =
-          logitsMat(cv::Rect(mx1, my1, mx2 - mx1, my2 - my1));
-      cv::Mat probMat;
-      cv::exp(-croppedLogits, probMat);
-      probMat = 255.0f / (1.0f + probMat);
-      probMat.convertTo(probMat, CV_8UC1);
-
-      cv::threshold(probMat, finalBinaryMat, 127, 1, cv::THRESH_BINARY);
-      finalMaskWidth = finalBinaryMat.cols;
-      finalMaskHeight = finalBinaryMat.rows;
-    }
+  for (int32_t i = 0; i < N; ++i) {
+    auto instance = processDetection(
+        i, bboxData, scoresData, maskData, maskH, maskW, modelInputSize,
+        originalSize, widthRatio, heightRatio, confidenceThreshold,
+        allowedClasses, returnMaskAtOriginalResolution);
 
-    std::vector<uint8_t> finalMask(
-        finalBinaryMat.data, finalBinaryMat.data + finalBinaryMat.total());
-
-    types::InstanceMask instance;
-    instance.x1 = origX1;
-    instance.y1 = origY1;
-    instance.x2 = origX2;
-    instance.y2 = origY2;
-    instance.mask = std::move(finalMask);
-    instance.maskWidth = finalMaskWidth;
-    instance.maskHeight = finalMaskHeight;
-    instance.classIndex = static_cast<int32_t>(labelIdx);
-    instance.score = score;
-    instance.instanceId = i;
-    instances.push_back(std::move(instance));
-    ++processed;
+    if (instance.has_value()) {
+      instances.push_back(std::move(*instance));
+      ++processed;
+    }
   }
 
   // Finalize: NMS + limit + renumber
   if (applyNMS_) {
-    instances = nonMaxSuppression(instances, iouThreshold);
+    instances =
+        utils::computer_vision::nonMaxSuppression(instances, iouThreshold);
   }
 
-  if (instances.size() > static_cast<size_t>(maxInstances)) {
+  if (std::cmp_greater(instances.size(), maxInstances)) {
     instances.resize(maxInstances);
   }
 
   for (size_t i = 0; i < instances.size(); ++i) {
-    instances[i].instanceId = static_cast<int>(i);
+    instances[i].instanceId = static_cast<int32_t>(i);
   }
 
   return instances;
@@ -261,7 +233,7 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
 
 std::vector<types::InstanceMask> BaseInstanceSegmentation::generate(
     std::string imageSource, double confidenceThreshold, double iouThreshold,
-    int maxInstances, std::vector<int32_t> classIndices,
+    int32_t maxInstances, std::vector<int32_t> classIndices,
     bool returnMaskAtOriginalResolution, std::string methodName) {
 
   if (methodName.empty()) {
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index fcab95bc1b..561516af25 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -4,11 +4,11 @@
 #include <executorch/runtime/core/evalue.h>
 #include <opencv2/opencv.hpp>
 #include <optional>
+#include <set>
 
 #include "Types.h"
 #include "rnexecutorch/metaprogramming/ConstructorHelpers.h"
 #include <rnexecutorch/models/BaseModel.h>
-#include <unordered_set>
 
 namespace rnexecutorch {
 namespace models::instance_segmentation {
@@ -24,7 +24,7 @@ class BaseInstanceSegmentation : public BaseModel {
 
   [[nodiscard("Registered non-void function")]] std::vector<types::InstanceMask>
   generate(std::string imageSource, double confidenceThreshold,
-           double iouThreshold, int maxInstances,
+           double iouThreshold, int32_t maxInstances,
            std::vector<int32_t> classIndices,
            bool returnMaskAtOriginalResolution, std::string methodName);
 
@@ -32,23 +32,30 @@ class BaseInstanceSegmentation : public BaseModel {
   std::vector<types::InstanceMask>
   postprocess(const std::vector<EValue> &tensors, cv::Size originalSize,
               cv::Size modelInputSize, double confidenceThreshold,
-              double iouThreshold, int maxInstances,
+              double iouThreshold, int32_t maxInstances,
               const std::vector<int32_t> &classIndices,
               bool returnMaskAtOriginalResolution);
 
-  float intersectionOverUnion(const types::InstanceMask &a,
-                              const types::InstanceMask &b);
+  cv::Mat processMaskFromLogits(const cv::Mat &logitsMat, float x1, float y1,
+                                float x2, float y2, cv::Size modelInputSize,
+                                cv::Size originalSize, int32_t maskW,
+                                int32_t maskH, int32_t bboxW, int32_t bboxH,
+                                float origX1, float origY1, bool warpToOriginal,
+                                int32_t &outWidth, int32_t &outHeight);
 
-  std::vector<types::InstanceMask>
-  nonMaxSuppression(std::vector<types::InstanceMask> instances,
-                    double iouThreshold);
+  std::optional<types::InstanceMask>
+  processDetection(int32_t detectionIndex, const float *bboxData,
+                   const float *scoresData, const float *maskData,
+                   int32_t maskH, int32_t maskW, cv::Size modelInputSize,
+                   cv::Size originalSize, float widthRatio, float heightRatio,
+                   double confidenceThreshold,
+                   const std::set<int32_t> &allowedClasses,
+                   bool returnMaskAtOriginalResolution);
 
   // Member variables
   std::optional<cv::Scalar> normMean_;
   std::optional<cv::Scalar> normStd_;
   bool applyNMS_;
-  cv::Size modelImageSize{0, 0};
-  std::unordered_set<std::string> avalivableMethods_;
   std::string currentlyLoadedMethod_;
 };
 } // namespace models::instance_segmentation
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
index adf66f8c56..569dcb7b1a 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
@@ -1,6 +1,7 @@
 #pragma once
 
 #include <cstdint>
+#include <rnexecutorch/utils/computer_vision/Types.h>
 #include <vector>
 
 namespace rnexecutorch::models::instance_segmentation::types {
@@ -12,16 +13,26 @@ namespace rnexecutorch::models::instance_segmentation::types {
  * confidence score, and a unique instance identifier.
  */
 struct InstanceMask {
-  float x1;                  ///< Bounding box left coordinate
-  float y1;                  ///< Bounding box top coordinate
-  float x2;                  ///< Bounding box right coordinate
-  float y2;                  ///< Bounding box bottom coordinate
-  std::vector<uint8_t> mask; ///< Binary mask (0 or 1) for the instance
-  int maskWidth;             ///< Width of the mask array
-  int maskHeight;            ///< Height of the mask array
-  int32_t classIndex;        ///< Model output class index
-  float score;               ///< Confidence score [0, 1]
-  int instanceId;            ///< Unique identifier for this instance
+  utils::computer_vision::BBox bbox; ///< Bounding box coordinates
+  std::vector<uint8_t> mask;         ///< Binary mask (0 or 1) for the instance
+  int32_t maskWidth;                 ///< Width of the mask array
+  int32_t maskHeight;                ///< Height of the mask array
+  int32_t classIndex;                ///< Model output class index
+  float score;                       ///< Confidence score [0, 1]
+  int32_t instanceId;                ///< Unique identifier for this instance
+
+  InstanceMask() = default;
+  InstanceMask(const InstanceMask &) = default;
+  InstanceMask(InstanceMask &&) = default;
+  InstanceMask &operator=(const InstanceMask &) = default;
+  InstanceMask &operator=(InstanceMask &&) = default;
+
+  InstanceMask(utils::computer_vision::BBox bbox, std::vector<uint8_t> mask,
+               int32_t maskWidth, int32_t maskHeight, int32_t classIndex,
+               float score, int32_t instanceId)
+      : bbox(bbox), mask(std::move(mask)), maskWidth(maskWidth),
+        maskHeight(maskHeight), classIndex(classIndex), score(score),
+        instanceId(instanceId) {}
 };
 
 } // namespace rnexecutorch::models::instance_segmentation::types
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp b/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
index e2f980befb..9d7bfa9be2 100644
--- a/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
@@ -214,12 +214,13 @@ TEST(InstanceSegFilterTests, ClassFilterReturnsOnlyMatchingClasses) {
 TEST(InstanceSegFilterTests, EmptyFilterReturnsAllClasses) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  auto unfilteredResults =
-      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
-  auto filteredResults =
+  auto allResults =
       model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+  EXPECT_FALSE(allResults.empty());
 
-  EXPECT_EQ(unfilteredResults.size(), filteredResults.size());
+  auto noResults = model.generate(kValidTestImagePath, 0.3, 0.5, 100, {50},
+                                  true, kMethodName);
+  EXPECT_TRUE(noResults.empty());
 }
 
 // ============================================================================
diff --git a/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.cpp b/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.cpp
new file mode 100644
index 0000000000..5fe80b44b3
--- /dev/null
+++ b/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.cpp
@@ -0,0 +1,39 @@
+#include "Processing.h"
+#include <algorithm>
+#include <cmath>
+
+namespace rnexecutorch::utils::computer_vision {
+
+float computeIoU(const BBox &a, const BBox &b) {
+  float x1 = std::max(a.x1, b.x1);
+  float y1 = std::max(a.y1, b.y1);
+  float x2 = std::min(a.x2, b.x2);
+  float y2 = std::min(a.y2, b.y2);
+
+  float intersectionArea = std::max(0.0f, x2 - x1) * std::max(0.0f, y2 - y1);
+  float areaA = a.area();
+  float areaB = b.area();
+  float unionArea = areaA + areaB - intersectionArea;
+
+  return (unionArea > 0.0f) ? (intersectionArea / unionArea) : 0.0f;
+}
+
+BBox scaleBBox(const BBox &box, float widthRatio, float heightRatio) {
+  return BBox{
+      .x1 = box.x1 * widthRatio,
+      .y1 = box.y1 * heightRatio,
+      .x2 = box.x2 * widthRatio,
+      .y2 = box.y2 * heightRatio,
+  };
+}
+
+BBox clipBBox(const BBox &box, float maxWidth, float maxHeight) {
+  return BBox{
+      .x1 = std::max(0.0f, box.x1),
+      .y1 = std::max(0.0f, box.y1),
+      .x2 = std::min(maxWidth, box.x2),
+      .y2 = std::min(maxHeight, box.y2),
+  };
+}
+
+} // namespace rnexecutorch::utils::computer_vision
diff --git a/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.h b/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.h
new file mode 100644
index 0000000000..676f4435ff
--- /dev/null
+++ b/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.h
@@ -0,0 +1,55 @@
+#pragma once
+
+#include "Types.h"
+#include <algorithm>
+#include <vector>
+
+namespace rnexecutorch::utils::computer_vision {
+
+float computeIoU(const BBox &a, const BBox &b);
+
+BBox scaleBBox(const BBox &box, float widthRatio, float heightRatio);
+
+BBox clipBBox(const BBox &box, float maxWidth, float maxHeight);
+
+template <HasBBoxAndScore T>
+std::vector<T> nonMaxSuppression(std::vector<T> items, double iouThreshold) {
+  if (items.empty()) {
+    return {};
+  }
+
+  std::sort(items.begin(), items.end(),
+            [](const T &a, const T &b) { return a.score > b.score; });
+
+  std::vector<T> result;
+  std::vector<bool> suppressed(items.size(), false);
+
+  for (size_t i = 0; i < items.size(); ++i) {
+    if (suppressed[i]) {
+      continue;
+    }
+
+    result.push_back(items[i]);
+
+    for (size_t j = i + 1; j < items.size(); ++j) {
+      if (suppressed[j]) {
+        continue;
+      }
+
+      if constexpr (requires(T t) { t.classIndex; }) {
+        if (items[i].classIndex != items[j].classIndex) {
+          continue;
+        }
+      }
+
+      float iou = computeIoU(items[i].bbox, items[j].bbox);
+      if (iou > iouThreshold) {
+        suppressed[j] = true;
+      }
+    }
+  }
+
+  return result;
+}
+
+} // namespace rnexecutorch::utils::computer_vision
diff --git a/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Types.h b/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Types.h
new file mode 100644
index 0000000000..880b5bdac8
--- /dev/null
+++ b/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Types.h
@@ -0,0 +1,27 @@
+#pragma once
+
+#include <concepts>
+
+namespace rnexecutorch::utils::computer_vision {
+
+struct BBox {
+  float x1, y1, x2, y2;
+
+  float width() const { return x2 - x1; }
+
+  float height() const { return y2 - y1; }
+
+  float area() const { return width() * height(); }
+
+  bool isValid() const {
+    return x2 > x1 && y2 > y1 && x1 >= 0.0f && y1 >= 0.0f;
+  }
+};
+
+template <typename T>
+concept HasBBoxAndScore = requires(T t) {
+  { t.bbox } -> std::convertible_to<BBox>;
+  { t.score } -> std::convertible_to<float>;
+};
+
+} // namespace rnexecutorch::utils::computer_vision

From d03e6d4fa938cdea66a07ca6da13c2addf0001aa Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Wed, 11 Mar 2026 23:24:48 +0100
Subject: [PATCH 29/56] Migrate ObjectDetection to common CV utils

---
 .../host_objects/JsiConversions.h             | 17 ++---
 .../BaseInstanceSegmentation.cpp              | 10 +--
 .../BaseInstanceSegmentation.h                |  6 +-
 .../models/instance_segmentation/Types.h      | 15 ++---
 .../object_detection/ObjectDetection.cpp      | 10 ++-
 .../models/object_detection/ObjectDetection.h |  1 -
 .../models/object_detection/Types.h           | 16 +++--
 .../models/object_detection/Utils.cpp         | 64 -------------------
 .../models/object_detection/Utils.h           | 11 ----
 9 files changed, 38 insertions(+), 112 deletions(-)
 delete mode 100644 packages/react-native-executorch/common/rnexecutorch/models/object_detection/Utils.cpp
 delete mode 100644 packages/react-native-executorch/common/rnexecutorch/models/object_detection/Utils.h

diff --git a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
index acf614d1d3..f4c1295f2a 100644
--- a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
+++ b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
@@ -449,13 +449,8 @@ inline jsi::Value getJsiValue(
   jsi::Array array(runtime, detections.size());
   for (std::size_t i = 0; i < detections.size(); ++i) {
     jsi::Object detection(runtime);
-    jsi::Object bbox(runtime);
-    bbox.setProperty(runtime, "x1", detections[i].x1);
-    bbox.setProperty(runtime, "y1", detections[i].y1);
-    bbox.setProperty(runtime, "x2", detections[i].x2);
-    bbox.setProperty(runtime, "y2", detections[i].y2);
-
-    detection.setProperty(runtime, "bbox", bbox);
+    detection.setProperty(runtime, "bbox",
+                          getJsiValue(detections[i].bbox, runtime));
     detection.setProperty(
         runtime, "label",
         jsi::String::createFromUtf8(runtime, detections[i].label));
@@ -465,10 +460,10 @@ inline jsi::Value getJsiValue(
   return array;
 }
 
-inline jsi::Value getJsiValue(
-    const std::vector<models::instance_segmentation::types::InstanceMask>
-        &instances,
-    jsi::Runtime &runtime) {
+inline jsi::Value
+getJsiValue(const std::vector<models::instance_segmentation::types::Instance>
+                &instances,
+            jsi::Runtime &runtime) {
   jsi::Array array(runtime, instances.size());
   for (std::size_t i = 0; i < instances.size(); ++i) {
     jsi::Object instance(runtime);
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index a8b0d7839b..6e3e00f636 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -90,7 +90,7 @@ cv::Mat BaseInstanceSegmentation::processMaskFromLogits(
   return finalBinaryMat;
 }
 
-std::optional<types::InstanceMask> BaseInstanceSegmentation::processDetection(
+std::optional<types::Instance> BaseInstanceSegmentation::processDetection(
     int32_t detectionIndex, const float *bboxData, const float *scoresData,
     const float *maskData, int32_t maskH, int32_t maskW,
     cv::Size modelInputSize, cv::Size originalSize, float widthRatio,
@@ -140,13 +140,13 @@ std::optional<types::InstanceMask> BaseInstanceSegmentation::processDetection(
   std::vector<uint8_t> finalMask(finalBinaryMat.data,
                                  finalBinaryMat.data + finalBinaryMat.total());
 
-  return types::InstanceMask(
+  return types::Instance(
       utils::computer_vision::BBox{origX1, origY1, origX2, origY2},
       std::move(finalMask), finalMaskWidth, finalMaskHeight,
       static_cast<int32_t>(labelIdx), score, i);
 }
 
-std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
+std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
     const std::vector<EValue> &tensors, cv::Size originalSize,
     cv::Size modelInputSize, double confidenceThreshold, double iouThreshold,
     int32_t maxInstances, const std::vector<int32_t> &classIndices,
@@ -175,7 +175,7 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
     allowedClasses.insert(classIndices.begin(), classIndices.end());
   }
 
-  std::vector<types::InstanceMask> instances;
+  std::vector<types::Instance> instances;
 
   size_t numTensors = tensors.size();
   if (numTensors != 3) {
@@ -231,7 +231,7 @@ std::vector<types::InstanceMask> BaseInstanceSegmentation::postprocess(
   return instances;
 }
 
-std::vector<types::InstanceMask> BaseInstanceSegmentation::generate(
+std::vector<types::Instance> BaseInstanceSegmentation::generate(
     std::string imageSource, double confidenceThreshold, double iouThreshold,
     int32_t maxInstances, std::vector<int32_t> classIndices,
     bool returnMaskAtOriginalResolution, std::string methodName) {
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index 561516af25..79c74ce9a7 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -22,14 +22,14 @@ class BaseInstanceSegmentation : public BaseModel {
                            std::vector<float> normStd, bool applyNMS,
                            std::shared_ptr<react::CallInvoker> callInvoker);
 
-  [[nodiscard("Registered non-void function")]] std::vector<types::InstanceMask>
+  [[nodiscard("Registered non-void function")]] std::vector<types::Instance>
   generate(std::string imageSource, double confidenceThreshold,
            double iouThreshold, int32_t maxInstances,
            std::vector<int32_t> classIndices,
            bool returnMaskAtOriginalResolution, std::string methodName);
 
 private:
-  std::vector<types::InstanceMask>
+  std::vector<types::Instance>
   postprocess(const std::vector<EValue> &tensors, cv::Size originalSize,
               cv::Size modelInputSize, double confidenceThreshold,
               double iouThreshold, int32_t maxInstances,
@@ -43,7 +43,7 @@ class BaseInstanceSegmentation : public BaseModel {
                                 float origX1, float origY1, bool warpToOriginal,
                                 int32_t &outWidth, int32_t &outHeight);
 
-  std::optional<types::InstanceMask>
+  std::optional<types::Instance>
   processDetection(int32_t detectionIndex, const float *bboxData,
                    const float *scoresData, const float *maskData,
                    int32_t maskH, int32_t maskW, cv::Size modelInputSize,
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
index 569dcb7b1a..87dbb95824 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
@@ -12,7 +12,7 @@ namespace rnexecutorch::models::instance_segmentation::types {
  * Contains bounding box coordinates, binary segmentation mask, class label,
  * confidence score, and a unique instance identifier.
  */
-struct InstanceMask {
+struct Instance {
   utils::computer_vision::BBox bbox; ///< Bounding box coordinates
   std::vector<uint8_t> mask;         ///< Binary mask (0 or 1) for the instance
   int32_t maskWidth;                 ///< Width of the mask array
@@ -21,15 +21,10 @@ struct InstanceMask {
   float score;                       ///< Confidence score [0, 1]
   int32_t instanceId;                ///< Unique identifier for this instance
 
-  InstanceMask() = default;
-  InstanceMask(const InstanceMask &) = default;
-  InstanceMask(InstanceMask &&) = default;
-  InstanceMask &operator=(const InstanceMask &) = default;
-  InstanceMask &operator=(InstanceMask &&) = default;
-
-  InstanceMask(utils::computer_vision::BBox bbox, std::vector<uint8_t> mask,
-               int32_t maskWidth, int32_t maskHeight, int32_t classIndex,
-               float score, int32_t instanceId)
+  Instance() = default;
+  Instance(utils::computer_vision::BBox bbox, std::vector<uint8_t> mask,
+           int32_t maskWidth, int32_t maskHeight, int32_t classIndex,
+           float score, int32_t instanceId)
       : bbox(bbox), mask(std::move(mask)), maskWidth(maskWidth),
         maskHeight(maskHeight), classIndex(classIndex), score(score),
         instanceId(instanceId) {}
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.cpp b/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.cpp
index d30fc8aeed..8f31623d40 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.cpp
@@ -1,10 +1,13 @@
 #include "ObjectDetection.h"
+#include "Constants.h"
 
 #include <rnexecutorch/Error.h>
 #include <rnexecutorch/ErrorCodes.h>
 #include <rnexecutorch/Log.h>
 #include <rnexecutorch/data_processing/ImageProcessing.h>
 #include <rnexecutorch/host_objects/JsiConversions.h>
+#include <rnexecutorch/utils/FrameProcessor.h>
+#include <rnexecutorch/utils/computer_vision/Processing.h>
 
 namespace rnexecutorch::models::object_detection {
 
@@ -83,10 +86,13 @@ ObjectDetection::postprocess(const std::vector<EValue> &tensors,
               " exceeds labelNames size " + std::to_string(labelNames_.size()) +
               ". Ensure the labelMap covers all model output classes.");
     }
-    detections.emplace_back(x1, y1, x2, y2, labelNames_[labelIdx], scores[i]);
+    detections.emplace_back(utils::computer_vision::BBox{x1, y1, x2, y2},
+                            labelNames_[labelIdx],
+                            static_cast<int32_t>(labelIdx), scores[i]);
   }
 
-  return utils::nonMaxSuppression(detections);
+  return utils::computer_vision::nonMaxSuppression(detections,
+                                                   constants::IOU_THRESHOLD);
 }
 
 std::vector<types::Detection>
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.h b/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.h
index d94087688a..1a7e72a6db 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/object_detection/ObjectDetection.h
@@ -8,7 +8,6 @@
 #include "Types.h"
 #include "rnexecutorch/metaprogramming/ConstructorHelpers.h"
 #include <rnexecutorch/models/VisionModel.h>
-#include <rnexecutorch/models/object_detection/Utils.h>
 
 namespace rnexecutorch {
 namespace models::object_detection {
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/object_detection/Types.h b/packages/react-native-executorch/common/rnexecutorch/models/object_detection/Types.h
index 075ae91e0f..5e51ec075f 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/object_detection/Types.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/object_detection/Types.h
@@ -1,15 +1,21 @@
 #pragma once
 
+#include <cstdint>
+#include <rnexecutorch/utils/computer_vision/Types.h>
 #include <string>
 
 namespace rnexecutorch::models::object_detection::types {
 struct Detection {
-  float x1;
-  float y1;
-  float x2;
-  float y2;
+  utils::computer_vision::BBox bbox;
   std::string label;
+  int32_t classIndex;
   float score;
+
+  Detection() = default;
+  Detection(utils::computer_vision::BBox bbox, std::string label,
+            int32_t classIndex, float score)
+      : bbox(bbox), label(std::move(label)), classIndex(classIndex),
+        score(score) {}
 };
 
-} // namespace rnexecutorch::models::object_detection::types
\ No newline at end of file
+} // namespace rnexecutorch::models::object_detection::types
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/object_detection/Utils.cpp b/packages/react-native-executorch/common/rnexecutorch/models/object_detection/Utils.cpp
deleted file mode 100644
index 198fe1fe50..0000000000
--- a/packages/react-native-executorch/common/rnexecutorch/models/object_detection/Utils.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-#include "Utils.h"
-#include "Constants.h"
-
-namespace rnexecutorch::models::object_detection::utils {
-float intersectionOverUnion(const types::Detection &a,
-                            const types::Detection &b) {
-  float x1 = std::max(a.x1, b.x1);
-  float y1 = std::max(a.y1, b.y1);
-  float x2 = std::min(a.x2, b.x2);
-  float y2 = std::min(a.y2, b.y2);
-
-  float intersectionArea = std::max(0.0f, x2 - x1) * std::max(0.0f, y2 - y1);
-  float areaA = (a.x2 - a.x1) * (a.y2 - a.y1);
-  float areaB = (b.x2 - b.x1) * (b.y2 - b.y1);
-  float unionArea = areaA + areaB - intersectionArea;
-
-  return intersectionArea / unionArea;
-}
-
-std::vector<types::Detection>
-nonMaxSuppression(std::vector<types::Detection> detections) {
-  if (detections.empty()) {
-    return {};
-  }
-
-  // Sort by label, then by score
-  std::sort(detections.begin(), detections.end(),
-            [](const types::Detection &a, const types::Detection &b) {
-              if (a.label == b.label) {
-                return a.score > b.score;
-              }
-              return a.label < b.label;
-            });
-
-  std::vector<types::Detection> result;
-  // Apply NMS for each label
-  for (size_t i = 0; i < detections.size();) {
-    std::string currentLabel = detections[i].label;
-
-    std::vector<types::Detection> labelDetections;
-    while (i < detections.size() && detections[i].label == currentLabel) {
-      labelDetections.push_back(detections[i]);
-      ++i;
-    }
-
-    std::vector<types::Detection> filteredLabelDetections;
-    while (!labelDetections.empty()) {
-      types::Detection current = labelDetections.front();
-      filteredLabelDetections.push_back(current);
-      labelDetections.erase(
-          std::remove_if(labelDetections.begin(), labelDetections.end(),
-                         [&current](const types::Detection &other) {
-                           return intersectionOverUnion(current, other) >
-                                  constants::IOU_THRESHOLD;
-                         }),
-          labelDetections.end());
-    }
-    result.insert(result.end(), filteredLabelDetections.begin(),
-                  filteredLabelDetections.end());
-  }
-  return result;
-}
-
-} // namespace rnexecutorch::models::object_detection::utils
\ No newline at end of file
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/object_detection/Utils.h b/packages/react-native-executorch/common/rnexecutorch/models/object_detection/Utils.h
deleted file mode 100644
index 02e1018914..0000000000
--- a/packages/react-native-executorch/common/rnexecutorch/models/object_detection/Utils.h
+++ /dev/null
@@ -1,11 +0,0 @@
-#pragma once
-
-#include "Types.h"
-#include <vector>
-
-namespace rnexecutorch::models::object_detection::utils {
-float intersectionOverUnion(const types::Detection &a,
-                            const types::Detection &b);
-std::vector<types::Detection>
-nonMaxSuppression(std::vector<types::Detection> detections);
-} // namespace rnexecutorch::models::object_detection::utils
\ No newline at end of file

From ef46c0e3b84d70d61590457aa520a1c7319c79d9 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Thu, 12 Mar 2026 14:18:35 +0100
Subject: [PATCH 30/56] Fix links

---
 .../docs/03-hooks/02-computer-vision/useInstanceSegmentation.md | 2 +-
 .../02-computer-vision/InstanceSegmentationModule.md            | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md b/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
index b61c2e911f..336cf6480c 100644
--- a/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
+++ b/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
@@ -5,7 +5,7 @@ title: useInstanceSegmentation
 Instance segmentation is a computer vision technique that detects individual objects within an image and produces a per-pixel segmentation mask for each one. Unlike object detection (which only returns bounding boxes), instance segmentation provides precise object boundaries. React Native ExecuTorch offers a dedicated hook `useInstanceSegmentation` for this task.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/instance-segmentation-68d0ea936cd0906843cbba7d).
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/instance-segmentation).
 :::
 
 ## API Reference
diff --git a/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md b/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md
index 0959654842..bc0d45919b 100644
--- a/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md
+++ b/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md
@@ -54,7 +54,7 @@ const segmentation = await InstanceSegmentationModule.fromModelName({
 Use [`fromCustomConfig`](../../06-api-reference/classes/InstanceSegmentationModule.md#fromcustomconfig) for custom-exported models with your own label map. It accepts:
 
 - `modelSource` - Location of the model binary.
-- `config` - An [`InstanceSegmentationConfig`](../../06-api-reference/interfaces/InstanceSegmentationConfig.md) object with:
+- `config` - An [`InstanceSegmentationConfig`](../../06-api-reference/type-aliases/InstanceSegmentationConfig.md) object with:
   - `labelMap` - An enum-like object mapping class names to indices.
   - `preprocessorConfig` (optional) - Normalization parameters (`normMean`, `normStd`).
   - `postprocessorConfig` (optional) - Postprocessing settings (`applyNMS`).

From 48aa04b8f0f3af675eabc69e8f8f620f98dbd1e4 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Thu, 12 Mar 2026 16:51:34 +0100
Subject: [PATCH 31/56] Break up postprocessing helpers in Instance
 Segmentation

---
 .../BaseInstanceSegmentation.cpp              | 200 ++++++++++--------
 .../BaseInstanceSegmentation.h                |  48 +++--
 .../utils/computer_vision/Types.h             |   5 +
 3 files changed, 154 insertions(+), 99 deletions(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index 6e3e00f636..12c25ac6ad 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -30,120 +30,148 @@ BaseInstanceSegmentation::BaseInstanceSegmentation(
   }
 }
 
-cv::Mat BaseInstanceSegmentation::processMaskFromLogits(
-    const cv::Mat &logitsMat, float x1, float y1, float x2, float y2,
-    cv::Size modelInputSize, cv::Size originalSize, int32_t maskW,
-    int32_t maskH, int32_t bboxW, int32_t bboxH, float origX1, float origY1,
-    bool warpToOriginal, int32_t &outWidth, int32_t &outHeight) {
+std::tuple<utils::computer_vision::BBox, float, int32_t>
+BaseInstanceSegmentation::extractDetectionData(const float *bboxData,
+                                               const float *scoresData,
+                                               int32_t index) {
+  utils::computer_vision::BBox bbox{
+      bboxData[index * 4], bboxData[index * 4 + 1], bboxData[index * 4 + 2],
+      bboxData[index * 4 + 3]};
+  float score = scoresData[index * 2];
+  int32_t label = static_cast<int32_t>(scoresData[index * 2 + 1]);
+
+  return {bbox, score, label};
+}
 
-  float mx1F = x1 * maskW / modelInputSize.width;
-  float my1F = y1 * maskH / modelInputSize.height;
-  float mx2F = x2 * maskW / modelInputSize.width;
-  float my2F = y2 * maskH / modelInputSize.height;
+cv::Rect BaseInstanceSegmentation::computeMaskCropRect(
+    const utils::computer_vision::BBox &bboxModel, cv::Size modelInputSize,
+    cv::Size maskSize) {
+
+  float mx1F = bboxModel.x1 * maskSize.width / modelInputSize.width;
+  float my1F = bboxModel.y1 * maskSize.height / modelInputSize.height;
+  float mx2F = bboxModel.x2 * maskSize.width / modelInputSize.width;
+  float my2F = bboxModel.y2 * maskSize.height / modelInputSize.height;
 
   int32_t mx1 = std::max(0, static_cast<int32_t>(std::floor(mx1F)));
   int32_t my1 = std::max(0, static_cast<int32_t>(std::floor(my1F)));
-  int32_t mx2 = std::min(maskW, static_cast<int32_t>(std::ceil(mx2F)));
-  int32_t my2 = std::min(maskH, static_cast<int32_t>(std::ceil(my2F)));
+  int32_t mx2 = std::min(maskSize.width, static_cast<int32_t>(std::ceil(mx2F)));
+  int32_t my2 =
+      std::min(maskSize.height, static_cast<int32_t>(std::ceil(my2F)));
+
+  return cv::Rect(mx1, my1, mx2 - mx1, my2 - my1);
+}
+
+cv::Rect BaseInstanceSegmentation::addPaddingToRect(const cv::Rect &rect,
+                                                    cv::Size maskSize) {
+  int32_t x1 = std::max(0, rect.x - 1);
+  int32_t y1 = std::max(0, rect.y - 1);
+  int32_t x2 = std::min(maskSize.width, rect.x + rect.width + 1);
+  int32_t y2 = std::min(maskSize.height, rect.y + rect.height + 1);
+
+  return cv::Rect(x1, y1, x2 - x1, y2 - y1);
+}
 
-  cv::Mat finalBinaryMat;
-  outWidth = bboxW;
-  outHeight = bboxH;
+cv::Mat BaseInstanceSegmentation::applySigmoid(const cv::Mat &logits) {
+  cv::Mat probMat;
+  cv::exp(-logits, probMat);
+  probMat = 255.0f / (1.0f + probMat);
+  probMat.convertTo(probMat, CV_8UC1);
+  return probMat;
+}
+
+cv::Mat BaseInstanceSegmentation::warpToOriginalResolution(
+    const cv::Mat &probMat, const cv::Rect &maskRect, cv::Size originalSize,
+    cv::Size maskSize, const utils::computer_vision::BBox &bboxOriginal) {
+
+  float scaleX = static_cast<float>(originalSize.width) / maskSize.width;
+  float scaleY = static_cast<float>(originalSize.height) / maskSize.height;
+
+  cv::Mat M = (cv::Mat_<float>(2, 3) << scaleX, 0,
+               (maskRect.x * scaleX - bboxOriginal.x1), 0, scaleY,
+               (maskRect.y * scaleY - bboxOriginal.y1));
+
+  cv::Size bboxSize(static_cast<int32_t>(std::round(bboxOriginal.width())),
+                    static_cast<int32_t>(std::round(bboxOriginal.height())));
+
+  cv::Mat warped;
+  cv::warpAffine(probMat, warped, M, bboxSize, cv::INTER_LINEAR);
+  return warped;
+}
+
+cv::Mat BaseInstanceSegmentation::thresholdToBinary(const cv::Mat &probMat) {
+  cv::Mat binary;
+  cv::threshold(probMat, binary, 127, 1, cv::THRESH_BINARY);
+  return binary;
+}
+
+cv::Mat BaseInstanceSegmentation::processMaskFromLogits(
+    const cv::Mat &logitsMat, const utils::computer_vision::BBox &bboxModel,
+    const utils::computer_vision::BBox &bboxOriginal, cv::Size modelInputSize,
+    cv::Size originalSize, cv::Size maskSize, bool warpToOriginal,
+    cv::Size &outSize) {
+
+  cv::Rect cropRect = computeMaskCropRect(bboxModel, modelInputSize, maskSize);
+
+  if (warpToOriginal) {
+    cropRect = addPaddingToRect(cropRect, maskSize);
+  }
+
+  cv::Mat cropped = logitsMat(cropRect);
+  cv::Mat probMat = applySigmoid(cropped);
 
   if (warpToOriginal) {
-    int32_t pmx1 = std::max(0, mx1 - 1);
-    int32_t pmy1 = std::max(0, my1 - 1);
-    int32_t pmx2 = std::min(maskW, mx2 + 1);
-    int32_t pmy2 = std::min(maskH, my2 + 1);
-
-    cv::Mat croppedLogits =
-        logitsMat(cv::Rect(pmx1, pmy1, pmx2 - pmx1, pmy2 - pmy1));
-    cv::Mat probMat;
-    cv::exp(-croppedLogits, probMat);
-    probMat = 255.0f / (1.0f + probMat);
-    probMat.convertTo(probMat, CV_8UC1);
-
-    float maskToOrigX = static_cast<float>(originalSize.width) / maskW;
-    float maskToOrigY = static_cast<float>(originalSize.height) / maskH;
-
-    cv::Mat M =
-        (cv::Mat_<float>(2, 3) << maskToOrigX, 0, (pmx1 * maskToOrigX - origX1),
-         0, maskToOrigY, (pmy1 * maskToOrigY - origY1));
-
-    cv::Mat warpedMat;
-    cv::warpAffine(probMat, warpedMat, M, cv::Size(bboxW, bboxH),
-                   cv::INTER_LINEAR);
-
-    cv::threshold(warpedMat, finalBinaryMat, 127, 1, cv::THRESH_BINARY);
-  } else {
-    cv::Mat croppedLogits = logitsMat(cv::Rect(mx1, my1, mx2 - mx1, my2 - my1));
-    cv::Mat probMat;
-    cv::exp(-croppedLogits, probMat);
-    probMat = 255.0f / (1.0f + probMat);
-    probMat.convertTo(probMat, CV_8UC1);
-
-    cv::threshold(probMat, finalBinaryMat, 127, 1, cv::THRESH_BINARY);
-    outWidth = finalBinaryMat.cols;
-    outHeight = finalBinaryMat.rows;
+    probMat = warpToOriginalResolution(probMat, cropRect, originalSize,
+                                       maskSize, bboxOriginal);
   }
+  cv::Mat binaryMask = thresholdToBinary(probMat);
+  outSize = cv::Size(binaryMask.cols, binaryMask.rows);
 
-  return finalBinaryMat;
+  return binaryMask;
 }
 
 std::optional<types::Instance> BaseInstanceSegmentation::processDetection(
     int32_t detectionIndex, const float *bboxData, const float *scoresData,
-    const float *maskData, int32_t maskH, int32_t maskW,
-    cv::Size modelInputSize, cv::Size originalSize, float widthRatio,
-    float heightRatio, double confidenceThreshold,
+    const cv::Mat &logitsMat, cv::Size modelInputSize, cv::Size originalSize,
+    float widthRatio, float heightRatio, double confidenceThreshold,
     const std::set<int32_t> &allowedClasses,
     bool returnMaskAtOriginalResolution) {
 
-  int32_t i = detectionIndex;
-
-  float x1 = bboxData[i * 4 + 0];
-  float y1 = bboxData[i * 4 + 1];
-  float x2 = bboxData[i * 4 + 2];
-  float y2 = bboxData[i * 4 + 3];
-  float score = scoresData[i * 2 + 0];
-  auto labelIdx = static_cast<std::size_t>(scoresData[i * 2 + 1]);
+  // Extract detection data
+  auto [bboxModel, score, labelIdx] =
+      extractDetectionData(bboxData, scoresData, detectionIndex);
 
+  // Filter by confidence
   if (score < confidenceThreshold) {
     return std::nullopt;
   }
-  if (!allowedClasses.empty() && allowedClasses.find(static_cast<int32_t>(
-                                     labelIdx)) == allowedClasses.end()) {
+
+  // Filter by class
+  if (!allowedClasses.empty() &&
+      allowedClasses.find(labelIdx) == allowedClasses.end()) {
     return std::nullopt;
   }
 
   // Scale bbox to original image coordinates
-  float origX1 = x1 * widthRatio;
-  float origY1 = y1 * heightRatio;
-  float origX2 = x2 * widthRatio;
-  float origY2 = y2 * heightRatio;
+  utils::computer_vision::BBox bboxOriginal =
+      bboxModel.scale(widthRatio, heightRatio);
 
-  int32_t bboxW = static_cast<int32_t>(std::round(origX2 - origX1));
-  int32_t bboxH = static_cast<int32_t>(std::round(origY2 - origY1));
-
-  if (bboxW <= 0 || bboxH <= 0) {
+  if (!bboxOriginal.isValid()) {
     return std::nullopt;
   }
 
-  const float *logits = maskData + (i * maskH * maskW);
-  cv::Mat logitsMat(maskH, maskW, CV_32FC1, const_cast<float *>(logits));
-
-  int32_t finalMaskWidth, finalMaskHeight;
+  // Process mask
+  cv::Size maskSize(logitsMat.cols, logitsMat.rows);
+  cv::Size outSize;
   cv::Mat finalBinaryMat = processMaskFromLogits(
-      logitsMat, x1, y1, x2, y2, modelInputSize, originalSize, maskW, maskH,
-      bboxW, bboxH, origX1, origY1, returnMaskAtOriginalResolution,
-      finalMaskWidth, finalMaskHeight);
+      logitsMat, bboxModel, bboxOriginal, modelInputSize, originalSize,
+      maskSize, returnMaskAtOriginalResolution, outSize);
 
+  // Create instance
   std::vector<uint8_t> finalMask(finalBinaryMat.data,
                                  finalBinaryMat.data + finalBinaryMat.total());
 
-  return types::Instance(
-      utils::computer_vision::BBox{origX1, origY1, origX2, origY2},
-      std::move(finalMask), finalMaskWidth, finalMaskHeight,
-      static_cast<int32_t>(labelIdx), score, i);
+  return types::Instance(bboxOriginal, std::move(finalMask), outSize.width,
+                         outSize.height, labelIdx, score, detectionIndex);
 }
 
 std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
@@ -203,10 +231,14 @@ std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
   int32_t processed = 0;
 
   for (int32_t i = 0; i < N; ++i) {
+    // Extract mask logits for this detection
+    const float *logits = maskData + (i * maskH * maskW);
+    cv::Mat logitsMat(maskH, maskW, CV_32FC1, const_cast<float *>(logits));
+
     auto instance = processDetection(
-        i, bboxData, scoresData, maskData, maskH, maskW, modelInputSize,
-        originalSize, widthRatio, heightRatio, confidenceThreshold,
-        allowedClasses, returnMaskAtOriginalResolution);
+        i, bboxData, scoresData, logitsMat, modelInputSize, originalSize,
+        widthRatio, heightRatio, confidenceThreshold, allowedClasses,
+        returnMaskAtOriginalResolution);
 
     if (instance.has_value()) {
       instances.push_back(std::move(*instance));
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index 79c74ce9a7..0845fc7182 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -9,6 +9,7 @@
 #include "Types.h"
 #include "rnexecutorch/metaprogramming/ConstructorHelpers.h"
 #include <rnexecutorch/models/BaseModel.h>
+#include <rnexecutorch/utils/computer_vision/Types.h>
 
 namespace rnexecutorch {
 namespace models::instance_segmentation {
@@ -36,21 +37,38 @@ class BaseInstanceSegmentation : public BaseModel {
               const std::vector<int32_t> &classIndices,
               bool returnMaskAtOriginalResolution);
 
-  cv::Mat processMaskFromLogits(const cv::Mat &logitsMat, float x1, float y1,
-                                float x2, float y2, cv::Size modelInputSize,
-                                cv::Size originalSize, int32_t maskW,
-                                int32_t maskH, int32_t bboxW, int32_t bboxH,
-                                float origX1, float origY1, bool warpToOriginal,
-                                int32_t &outWidth, int32_t &outHeight);
-
-  std::optional<types::Instance>
-  processDetection(int32_t detectionIndex, const float *bboxData,
-                   const float *scoresData, const float *maskData,
-                   int32_t maskH, int32_t maskW, cv::Size modelInputSize,
-                   cv::Size originalSize, float widthRatio, float heightRatio,
-                   double confidenceThreshold,
-                   const std::set<int32_t> &allowedClasses,
-                   bool returnMaskAtOriginalResolution);
+  // Data extraction helpers
+  std::tuple<utils::computer_vision::BBox, float, int32_t>
+  extractDetectionData(const float *bboxData, const float *scoresData,
+                       int32_t index);
+
+  // Helper functions for mask processing
+  cv::Rect computeMaskCropRect(const utils::computer_vision::BBox &bboxModel,
+                               cv::Size modelInputSize, cv::Size maskSize);
+
+  cv::Rect addPaddingToRect(const cv::Rect &rect, cv::Size maskSize);
+
+  cv::Mat applySigmoid(const cv::Mat &logits);
+
+  cv::Mat
+  warpToOriginalResolution(const cv::Mat &probMat, const cv::Rect &maskRect,
+                           cv::Size originalSize, cv::Size maskSize,
+                           const utils::computer_vision::BBox &bboxOriginal);
+
+  cv::Mat thresholdToBinary(const cv::Mat &probMat);
+
+  cv::Mat processMaskFromLogits(
+      const cv::Mat &logitsMat, const utils::computer_vision::BBox &bboxModel,
+      const utils::computer_vision::BBox &bboxOriginal, cv::Size modelInputSize,
+      cv::Size originalSize, cv::Size maskSize, bool warpToOriginal,
+      cv::Size &outSize);
+
+  std::optional<types::Instance> processDetection(
+      int32_t detectionIndex, const float *bboxData, const float *scoresData,
+      const cv::Mat &logitsMat, cv::Size modelInputSize, cv::Size originalSize,
+      float widthRatio, float heightRatio, double confidenceThreshold,
+      const std::set<int32_t> &allowedClasses,
+      bool returnMaskAtOriginalResolution);
 
   // Member variables
   std::optional<cv::Scalar> normMean_;
diff --git a/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Types.h b/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Types.h
index 880b5bdac8..6f3283b722 100644
--- a/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Types.h
+++ b/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Types.h
@@ -16,6 +16,11 @@ struct BBox {
   bool isValid() const {
     return x2 > x1 && y2 > y1 && x1 >= 0.0f && y1 >= 0.0f;
   }
+
+  BBox scale(float widthRatio, float heightRatio) const {
+    return {x1 * widthRatio, y1 * heightRatio, x2 * widthRatio,
+            y2 * heightRatio};
+  }
 };
 
 template <typename T>

From cd340b306b0a9f6955a749eb4e7d34ab2e6d3def Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Thu, 12 Mar 2026 18:04:54 +0100
Subject: [PATCH 32/56] Streamline postprocessing

---
 .../BaseInstanceSegmentation.cpp              | 227 +++++++++---------
 .../BaseInstanceSegmentation.h                |  28 ++-
 2 files changed, 126 insertions(+), 129 deletions(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index 12c25ac6ad..a2da94cb3b 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -107,9 +107,9 @@ cv::Mat BaseInstanceSegmentation::thresholdToBinary(const cv::Mat &probMat) {
 cv::Mat BaseInstanceSegmentation::processMaskFromLogits(
     const cv::Mat &logitsMat, const utils::computer_vision::BBox &bboxModel,
     const utils::computer_vision::BBox &bboxOriginal, cv::Size modelInputSize,
-    cv::Size originalSize, cv::Size maskSize, bool warpToOriginal,
-    cv::Size &outSize) {
+    cv::Size originalSize, bool warpToOriginal) {
 
+  cv::Size maskSize = logitsMat.size();
   cv::Rect cropRect = computeMaskCropRect(bboxModel, modelInputSize, maskSize);
 
   if (warpToOriginal) {
@@ -123,55 +123,87 @@ cv::Mat BaseInstanceSegmentation::processMaskFromLogits(
     probMat = warpToOriginalResolution(probMat, cropRect, originalSize,
                                        maskSize, bboxOriginal);
   }
-  cv::Mat binaryMask = thresholdToBinary(probMat);
-  outSize = cv::Size(binaryMask.cols, binaryMask.rows);
+  return thresholdToBinary(probMat);
+}
+
+void BaseInstanceSegmentation::validateThresholds(double confidenceThreshold,
+                                                  double iouThreshold) const {
+  if (confidenceThreshold < 0 || confidenceThreshold > 1) {
+    throw RnExecutorchError(
+        RnExecutorchErrorCode::InvalidConfig,
+        "Confidence threshold must be greater or equal to 0 "
+        "and less than or equal to 1.");
+  }
 
-  return binaryMask;
+  if (iouThreshold < 0 || iouThreshold > 1) {
+    throw RnExecutorchError(RnExecutorchErrorCode::InvalidConfig,
+                            "IoU threshold must be greater or equal to 0 "
+                            "and less than or equal to 1.");
+  }
 }
 
-std::optional<types::Instance> BaseInstanceSegmentation::processDetection(
-    int32_t detectionIndex, const float *bboxData, const float *scoresData,
-    const cv::Mat &logitsMat, cv::Size modelInputSize, cv::Size originalSize,
-    float widthRatio, float heightRatio, double confidenceThreshold,
-    const std::set<int32_t> &allowedClasses,
-    bool returnMaskAtOriginalResolution) {
+void BaseInstanceSegmentation::validateOutputTensors(
+    const std::vector<EValue> &tensors) const {
+  if (tensors.size() != 3) {
+    throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs,
+                            "Expected 3 output tensors ([1,N,4] + [1,N,2] + "
+                            "[1,N,H,W]), got " +
+                                std::to_string(tensors.size()));
+  }
+}
 
-  // Extract detection data
-  auto [bboxModel, score, labelIdx] =
-      extractDetectionData(bboxData, scoresData, detectionIndex);
+std::set<int32_t> BaseInstanceSegmentation::prepareAllowedClasses(
+    const std::vector<int32_t> &classIndices) const {
+  std::set<int32_t> allowedClasses;
+  if (!classIndices.empty()) {
+    allowedClasses.insert(classIndices.begin(), classIndices.end());
+  }
+  return allowedClasses;
+}
 
-  // Filter by confidence
-  if (score < confidenceThreshold) {
-    return std::nullopt;
+void BaseInstanceSegmentation::ensureMethodLoaded(
+    const std::string &methodName) {
+  if (methodName.empty()) {
+    throw RnExecutorchError(
+        RnExecutorchErrorCode::InvalidConfig,
+        "methodName cannot be empty. Use 'forward' for single-method models "
+        "or 'forward_{inputSize}' for multi-method models.");
   }
 
-  // Filter by class
-  if (!allowedClasses.empty() &&
-      allowedClasses.find(labelIdx) == allowedClasses.end()) {
-    return std::nullopt;
+  if (currentlyLoadedMethod_ != methodName) {
+    if (!currentlyLoadedMethod_.empty()) {
+      module_->unload_method(currentlyLoadedMethod_);
+    }
+    currentlyLoadedMethod_ = methodName;
+    module_->load_method(methodName);
   }
+}
 
-  // Scale bbox to original image coordinates
-  utils::computer_vision::BBox bboxOriginal =
-      bboxModel.scale(widthRatio, heightRatio);
+cv::Size BaseInstanceSegmentation::getInputSize(const std::string &methodName) {
+  auto inputShapes = getAllInputShapes(methodName);
+  std::vector<int32_t> inputShape = inputShapes[0];
+  int32_t inputSize = inputShape[inputShape.size() - 1];
+  return cv::Size(inputSize, inputSize);
+}
+
+std::vector<types::Instance> BaseInstanceSegmentation::finalizeInstances(
+    std::vector<types::Instance> instances, double iouThreshold,
+    int32_t maxInstances) const {
 
-  if (!bboxOriginal.isValid()) {
-    return std::nullopt;
+  if (applyNMS_) {
+    instances =
+        utils::computer_vision::nonMaxSuppression(instances, iouThreshold);
   }
 
-  // Process mask
-  cv::Size maskSize(logitsMat.cols, logitsMat.rows);
-  cv::Size outSize;
-  cv::Mat finalBinaryMat = processMaskFromLogits(
-      logitsMat, bboxModel, bboxOriginal, modelInputSize, originalSize,
-      maskSize, returnMaskAtOriginalResolution, outSize);
+  if (std::cmp_greater(instances.size(), maxInstances)) {
+    instances.resize(maxInstances);
+  }
 
-  // Create instance
-  std::vector<uint8_t> finalMask(finalBinaryMat.data,
-                                 finalBinaryMat.data + finalBinaryMat.total());
+  for (int32_t i = 0; i < instances.size(); ++i) {
+    instances[i].instanceId = static_cast<int32_t>(i);
+  }
 
-  return types::Instance(bboxOriginal, std::move(finalMask), outSize.width,
-                         outSize.height, labelIdx, score, detectionIndex);
+  return instances;
 }
 
 std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
@@ -180,43 +212,16 @@ std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
     int32_t maxInstances, const std::vector<int32_t> &classIndices,
     bool returnMaskAtOriginalResolution) {
 
-  if (confidenceThreshold < 0 || confidenceThreshold > 1) {
-    throw RnExecutorchError(
-        RnExecutorchErrorCode::InvalidConfig,
-        "Confidence threshold must be greater or equal to 0 "
-        "and less than or equal to 1.");
-  }
-
-  if (iouThreshold < 0 || iouThreshold > 1) {
-    throw RnExecutorchError(RnExecutorchErrorCode::InvalidConfig,
-                            "IoU threshold must be greater or equal to 0 "
-                            "and less than or equal to 1.");
-  }
+  validateThresholds(confidenceThreshold, iouThreshold);
+  validateOutputTensors(tensors);
 
   float widthRatio =
       static_cast<float>(originalSize.width) / modelInputSize.width;
   float heightRatio =
       static_cast<float>(originalSize.height) / modelInputSize.height;
+  std::set<int32_t> allowedClasses = prepareAllowedClasses(classIndices);
 
-  std::set<int32_t> allowedClasses;
-  if (!classIndices.empty()) {
-    allowedClasses.insert(classIndices.begin(), classIndices.end());
-  }
-
-  std::vector<types::Instance> instances;
-
-  size_t numTensors = tensors.size();
-  if (numTensors != 3) {
-    throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs,
-                            "Expected 3 output tensors ([1,N,4] + [1,N,2] + "
-                            "[1,N,H,W]), got " +
-                                std::to_string(numTensors));
-  }
-
-  // CONTRACT: [1,N,4] + [1,N,2] + [1,N,H,W]
-  //   bbox:        [x1, y1, x2, y2] in model input coordinates
-  //   scores:      [max_score, class_id] — post-sigmoid
-  //   mask_logits: pre-sigmoid, per-detection
+  // CONTRACT
   auto bboxTensor = tensors[0].toTensor();   // [1, N, 4]
   auto scoresTensor = tensors[1].toTensor(); // [1, N, 2]
   auto maskTensor = tensors[2].toTensor();   // [1, N, H, W]
@@ -224,43 +229,49 @@ std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
   int32_t N = bboxTensor.size(1);
   int32_t maskH = maskTensor.size(2);
   int32_t maskW = maskTensor.size(3);
+
   const float *bboxData = bboxTensor.const_data_ptr<float>();
   const float *scoresData = scoresTensor.const_data_ptr<float>();
   const float *maskData = maskTensor.const_data_ptr<float>();
 
-  int32_t processed = 0;
+  auto isValidDetection =
+      [&allowedClasses, &confidenceThreshold](float score, int32_t labelIdx) {
+        if (score < confidenceThreshold)
+          return false;
+        if (!allowedClasses.empty() && allowedClasses.count(labelIdx) == 0)
+          return false;
+        return true;
+      };
+
+  std::vector<types::Instance> instances;
 
   for (int32_t i = 0; i < N; ++i) {
-    // Extract mask logits for this detection
-    const float *logits = maskData + (i * maskH * maskW);
-    cv::Mat logitsMat(maskH, maskW, CV_32FC1, const_cast<float *>(logits));
+    auto [bboxModel, score, labelIdx] =
+        extractDetectionData(bboxData, scoresData, i);
 
-    auto instance = processDetection(
-        i, bboxData, scoresData, logitsMat, modelInputSize, originalSize,
-        widthRatio, heightRatio, confidenceThreshold, allowedClasses,
-        returnMaskAtOriginalResolution);
+    if (!isValidDetection(score, labelIdx))
+      continue;
 
-    if (instance.has_value()) {
-      instances.push_back(std::move(*instance));
-      ++processed;
-    }
-  }
+    utils::computer_vision::BBox bboxOriginal =
+        bboxModel.scale(widthRatio, heightRatio);
+    if (!bboxOriginal.isValid())
+      continue;
 
-  // Finalize: NMS + limit + renumber
-  if (applyNMS_) {
-    instances =
-        utils::computer_vision::nonMaxSuppression(instances, iouThreshold);
-  }
+    cv::Mat logitsMat(maskH, maskW, CV_32FC1,
+                      const_cast<float *>(maskData + (i * maskH * maskW)));
 
-  if (std::cmp_greater(instances.size(), maxInstances)) {
-    instances.resize(maxInstances);
-  }
+    cv::Mat binaryMask = processMaskFromLogits(
+        logitsMat, bboxModel, bboxOriginal, modelInputSize, originalSize,
+        returnMaskAtOriginalResolution);
 
-  for (size_t i = 0; i < instances.size(); ++i) {
-    instances[i].instanceId = static_cast<int32_t>(i);
+    instances.emplace_back(
+        bboxOriginal,
+        std::vector<uint8_t>(binaryMask.data,
+                             binaryMask.data + binaryMask.total()),
+        binaryMask.cols, binaryMask.rows, labelIdx, score, i);
   }
 
-  return instances;
+  return finalizeInstances(std::move(instances), iouThreshold, maxInstances);
 }
 
 std::vector<types::Instance> BaseInstanceSegmentation::generate(
@@ -268,28 +279,12 @@ std::vector<types::Instance> BaseInstanceSegmentation::generate(
     int32_t maxInstances, std::vector<int32_t> classIndices,
     bool returnMaskAtOriginalResolution, std::string methodName) {
 
-  if (methodName.empty()) {
-    throw RnExecutorchError(
-        RnExecutorchErrorCode::InvalidConfig,
-        "methodName cannot be empty. Use 'forward' for single-method models "
-        "or 'forward_{inputSize}' for multi-method models.");
-  }
-
-  if (currentlyLoadedMethod_ != methodName) {
-    if (!currentlyLoadedMethod_.empty()) {
-      module_->unload_method(currentlyLoadedMethod_);
-    }
-    currentlyLoadedMethod_ = methodName;
-    module_->load_method(methodName);
-  }
-
-  auto inputShapes = getAllInputShapes(methodName);
-  std::vector<int32_t> inputShape = inputShapes[0];
-  int32_t inputSize = inputShape[inputShape.size() - 1];
-  cv::Size modelInputSize(inputSize, inputSize);
+  ensureMethodLoaded(methodName);
+  cv::Size modelInputSize = getInputSize(methodName);
 
   auto [inputTensor, originalSize] = image_processing::readImageToTensor(
-      imageSource, inputShape, false, normMean_, normStd_);
+      imageSource, getAllInputShapes(methodName)[0], false, normMean_,
+      normStd_);
 
   auto forwardResult = BaseModel::execute(methodName, {inputTensor});
   if (!forwardResult.ok()) {
@@ -300,11 +295,9 @@ std::vector<types::Instance> BaseInstanceSegmentation::generate(
             methodName + "' is valid.");
   }
 
-  auto result = postprocess(forwardResult.get(), originalSize, modelInputSize,
-                            confidenceThreshold, iouThreshold, maxInstances,
-                            classIndices, returnMaskAtOriginalResolution);
-
-  return result;
+  return postprocess(forwardResult.get(), originalSize, modelInputSize,
+                     confidenceThreshold, iouThreshold, maxInstances,
+                     classIndices, returnMaskAtOriginalResolution);
 }
 
 } // namespace rnexecutorch::models::instance_segmentation
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index 0845fc7182..b353ed384d 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -37,12 +37,21 @@ class BaseInstanceSegmentation : public BaseModel {
               const std::vector<int32_t> &classIndices,
               bool returnMaskAtOriginalResolution);
 
-  // Data extraction helpers
+  void validateThresholds(double confidenceThreshold,
+                          double iouThreshold) const;
+  void validateOutputTensors(const std::vector<EValue> &tensors) const;
+
+  std::set<int32_t>
+  prepareAllowedClasses(const std::vector<int32_t> &classIndices) const;
+
+  // Model loading and input helpers
+  void ensureMethodLoaded(const std::string &methodName);
+  cv::Size getInputSize(const std::string &methodName);
+
   std::tuple<utils::computer_vision::BBox, float, int32_t>
   extractDetectionData(const float *bboxData, const float *scoresData,
                        int32_t index);
 
-  // Helper functions for mask processing
   cv::Rect computeMaskCropRect(const utils::computer_vision::BBox &bboxModel,
                                cv::Size modelInputSize, cv::Size maskSize);
 
@@ -57,20 +66,15 @@ class BaseInstanceSegmentation : public BaseModel {
 
   cv::Mat thresholdToBinary(const cv::Mat &probMat);
 
+  std::vector<types::Instance>
+  finalizeInstances(std::vector<types::Instance> instances, double iouThreshold,
+                    int32_t maxInstances) const;
+
   cv::Mat processMaskFromLogits(
       const cv::Mat &logitsMat, const utils::computer_vision::BBox &bboxModel,
       const utils::computer_vision::BBox &bboxOriginal, cv::Size modelInputSize,
-      cv::Size originalSize, cv::Size maskSize, bool warpToOriginal,
-      cv::Size &outSize);
-
-  std::optional<types::Instance> processDetection(
-      int32_t detectionIndex, const float *bboxData, const float *scoresData,
-      const cv::Mat &logitsMat, cv::Size modelInputSize, cv::Size originalSize,
-      float widthRatio, float heightRatio, double confidenceThreshold,
-      const std::set<int32_t> &allowedClasses,
-      bool returnMaskAtOriginalResolution);
+      cv::Size originalSize, bool warpToOriginal);
 
-  // Member variables
   std::optional<cv::Scalar> normMean_;
   std::optional<cv::Scalar> normStd_;
   bool applyNMS_;

From f45c022cf3e12fdcf9afdbf501f6f11af9e6bfe4 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Fri, 13 Mar 2026 09:01:50 +0100
Subject: [PATCH 33/56] Change inheritance to VisionModel

---
 .../app/vision_camera/index.tsx               |  30 +++--
 .../components/ImageWithMasks.tsx             |   9 +-
 .../common/rnexecutorch/models/VisionModel.h  |  20 ++-
 .../BaseInstanceSegmentation.cpp              | 125 ++++++++++++++----
 .../BaseInstanceSegmentation.h                |  37 +++++-
 5 files changed, 167 insertions(+), 54 deletions(-)

diff --git a/apps/computer-vision/app/vision_camera/index.tsx b/apps/computer-vision/app/vision_camera/index.tsx
index b2af60d504..aab9d1afb8 100644
--- a/apps/computer-vision/app/vision_camera/index.tsx
+++ b/apps/computer-vision/app/vision_camera/index.tsx
@@ -32,18 +32,23 @@ import ClassificationTask from '../../components/vision_camera/tasks/Classificat
 import ObjectDetectionTask from '../../components/vision_camera/tasks/ObjectDetectionTask';
 import SegmentationTask from '../../components/vision_camera/tasks/SegmentationTask';
 
-type TaskId = 'classification' | 'objectDetection' | 'segmentation';
+type TaskId =
+  | 'classification'
+  | 'objectDetection'
+  | 'segmentation'
+  | 'instanceSegmentation';
 type ModelId =
   | 'classification'
-  | 'objectDetectionSsdlite'
-  | 'objectDetectionRfdetr'
-  | 'segmentationDeeplabResnet50'
-  | 'segmentationDeeplabResnet101'
-  | 'segmentationDeeplabMobilenet'
-  | 'segmentationLraspp'
-  | 'segmentationFcnResnet50'
-  | 'segmentationFcnResnet101'
-  | 'segmentationSelfie';
+  | 'objectDetection_ssdlite'
+  | 'objectDetection_rfdetr'
+  | 'segmentation_deeplab_resnet50'
+  | 'segmentation_deeplab_resnet101'
+  | 'segmentation_deeplab_mobilenet'
+  | 'segmentation_lraspp'
+  | 'segmentation_fcn_resnet50'
+  | 'segmentation_fcn_resnet101'
+  | 'segmentation_selfie'
+  | 'instanceSegmentation_yolo26n';
 
 type TaskVariant = { id: ModelId; label: string };
 type Task = { id: TaskId; label: string; variants: TaskVariant[] };
@@ -75,6 +80,11 @@ const TASKS: Task[] = [
       { id: 'objectDetectionRfdetr', label: 'RF-DETR Nano' },
     ],
   },
+  {
+    id: 'instanceSegmentation',
+    label: 'Inst Seg',
+    variants: [{ id: 'instanceSegmentation_yolo26n', label: 'YOLO26N Seg' }],
+  },
 ];
 
 // Module-level const so worklets in task components can always reference the same stable object.
diff --git a/apps/computer-vision/components/ImageWithMasks.tsx b/apps/computer-vision/components/ImageWithMasks.tsx
index e1c3720cca..0403098bd3 100644
--- a/apps/computer-vision/components/ImageWithMasks.tsx
+++ b/apps/computer-vision/components/ImageWithMasks.tsx
@@ -1,4 +1,4 @@
-import React, { useEffect, useState } from 'react';
+import React, { useState } from 'react';
 import { Image, StyleSheet, View, Text } from 'react-native';
 import {
   Canvas,
@@ -135,13 +135,6 @@ export default function ImageWithMasks({
   const offsetX = (layout.width - imageWidth * scale) / 2;
   const offsetY = (layout.height - imageHeight * scale) / 2;
 
-  // Dispose Skia images when instances are replaced or on unmount
-  useEffect(() => {
-    return () => {
-      instances.forEach((inst) => inst.maskImage.dispose());
-    };
-  }, [instances]);
-
   return (
     <View
       style={styles.container}
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/VisionModel.h b/packages/react-native-executorch/common/rnexecutorch/models/VisionModel.h
index 6f9a9532f4..b002584b5a 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/VisionModel.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/VisionModel.h
@@ -90,8 +90,24 @@ class VisionModel : public BaseModel {
    */
   virtual cv::Mat preprocess(const cv::Mat &image) const;
 
-  /// Convenience accessor: spatial dimensions of the model input.
-  cv::Size modelInputSize() const;
+  /// Cached input tensor shape (getAllInputShapes()[0]).
+  /// Set once by each subclass constructor to avoid per-frame metadata lookups.
+  std::vector<int32_t> modelInputShape_;
+
+  /**
+   * @brief Get the spatial dimensions of the model input.
+   *
+   * By default, returns the last two dimensions of modelInputShape_.
+   * Subclasses may override this for models with dynamic or multiple input
+   * sizes.
+   */
+  virtual cv::Size modelInputSize() const {
+    if (modelInputShape_.size() < 2) {
+      return {0, 0};
+    }
+    return cv::Size(modelInputShape_[modelInputShape_.size() - 1],
+                    modelInputShape_[modelInputShape_.size() - 2]);
+  }
 
   /**
    * @brief Extract an RGB cv::Mat from a VisionCamera frame
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index a2da94cb3b..9fafccb8ed 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -14,7 +14,7 @@ BaseInstanceSegmentation::BaseInstanceSegmentation(
     const std::string &modelSource, std::vector<float> normMean,
     std::vector<float> normStd, bool applyNMS,
     std::shared_ptr<react::CallInvoker> callInvoker)
-    : BaseModel(modelSource, callInvoker), applyNMS_(applyNMS) {
+    : VisionModel(modelSource, callInvoker), applyNMS_(applyNMS) {
 
   if (normMean.size() == 3) {
     normMean_ = cv::Scalar(normMean[0], normMean[1], normMean[2]);
@@ -30,6 +30,103 @@ BaseInstanceSegmentation::BaseInstanceSegmentation(
   }
 }
 
+cv::Mat BaseInstanceSegmentation::preprocess(const cv::Mat &image) const {
+  cv::Mat resized = VisionModel::preprocess(image);
+
+  if (!normMean_.has_value() && !normStd_.has_value()) {
+    return resized;
+  }
+
+  cv::Mat normalized;
+  resized.convertTo(normalized, CV_32FC3);
+  cv::Scalar mean = normMean_.value_or(cv::Scalar(0, 0, 0));
+  cv::Scalar std = normStd_.value_or(cv::Scalar(1, 1, 1));
+  normalized = (normalized - mean) / std;
+
+  return normalized;
+}
+
+cv::Size BaseInstanceSegmentation::modelInputSize() const {
+  if (currentlyLoadedMethod_.empty()) {
+    return VisionModel::modelInputSize();
+  }
+  auto inputShapes = getAllInputShapes(currentlyLoadedMethod_);
+  if (inputShapes.empty() || inputShapes[0].size() < 2) {
+    return VisionModel::modelInputSize();
+  }
+  const auto &shape = inputShapes[0];
+  return cv::Size(shape[shape.size() - 1], shape[shape.size() - 2]);
+}
+
+std::vector<types::Instance> BaseInstanceSegmentation::runInference(
+    const cv::Mat &image, double confidenceThreshold, double iouThreshold,
+    int32_t maxInstances, const std::vector<int32_t> &classIndices,
+    bool returnMaskAtOriginalResolution, const std::string &methodName) {
+
+  std::scoped_lock lock(inference_mutex_);
+
+  ensureMethodLoaded(methodName);
+
+  auto inputShapes = getAllInputShapes(methodName);
+  modelInputShape_ = inputShapes[0];
+
+  cv::Size modelInputSize = getInputSize(methodName);
+  cv::Size originalSize(image.cols, image.rows);
+
+  cv::Mat preprocessed = preprocess(image);
+
+  auto inputTensor =
+      image_processing::getTensorFromMatrix(modelInputShape_, preprocessed);
+
+  auto forwardResult = BaseModel::execute(methodName, {inputTensor});
+  if (!forwardResult.ok()) {
+    throw RnExecutorchError(
+        forwardResult.error(),
+        "The model's forward function did not succeed. "
+        "Ensure the model input is correct and method name '" +
+            methodName + "' is valid.");
+  }
+
+  return postprocess(forwardResult.get(), originalSize, modelInputSize,
+                     confidenceThreshold, iouThreshold, maxInstances,
+                     classIndices, returnMaskAtOriginalResolution);
+}
+
+std::vector<types::Instance> BaseInstanceSegmentation::generateFromString(
+    std::string imageSource, double confidenceThreshold, double iouThreshold,
+    int32_t maxInstances, std::vector<int32_t> classIndices,
+    bool returnMaskAtOriginalResolution, std::string methodName) {
+
+  cv::Mat imageBGR = image_processing::readImage(imageSource);
+  cv::Mat imageRGB;
+  cv::cvtColor(imageBGR, imageRGB, cv::COLOR_BGR2RGB);
+
+  return runInference(imageRGB, confidenceThreshold, iouThreshold, maxInstances,
+                      classIndices, returnMaskAtOriginalResolution, methodName);
+}
+
+std::vector<types::Instance> BaseInstanceSegmentation::generateFromFrame(
+    jsi::Runtime &runtime, const jsi::Value &frameData,
+    double confidenceThreshold, double iouThreshold, int32_t maxInstances,
+    std::vector<int32_t> classIndices, bool returnMaskAtOriginalResolution,
+    std::string methodName) {
+
+  cv::Mat frame = extractFromFrame(runtime, frameData);
+  return runInference(frame, confidenceThreshold, iouThreshold, maxInstances,
+                      classIndices, returnMaskAtOriginalResolution, methodName);
+}
+
+std::vector<types::Instance> BaseInstanceSegmentation::generateFromPixels(
+    const JSTensorViewIn &tensorView, double confidenceThreshold,
+    double iouThreshold, int32_t maxInstances,
+    std::vector<int32_t> classIndices, bool returnMaskAtOriginalResolution,
+    std::string methodName) {
+
+  cv::Mat image = extractFromPixels(tensorView);
+  return runInference(image, confidenceThreshold, iouThreshold, maxInstances,
+                      classIndices, returnMaskAtOriginalResolution, methodName);
+}
+
 std::tuple<utils::computer_vision::BBox, float, int32_t>
 BaseInstanceSegmentation::extractDetectionData(const float *bboxData,
                                                const float *scoresData,
@@ -274,30 +371,4 @@ std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
   return finalizeInstances(std::move(instances), iouThreshold, maxInstances);
 }
 
-std::vector<types::Instance> BaseInstanceSegmentation::generate(
-    std::string imageSource, double confidenceThreshold, double iouThreshold,
-    int32_t maxInstances, std::vector<int32_t> classIndices,
-    bool returnMaskAtOriginalResolution, std::string methodName) {
-
-  ensureMethodLoaded(methodName);
-  cv::Size modelInputSize = getInputSize(methodName);
-
-  auto [inputTensor, originalSize] = image_processing::readImageToTensor(
-      imageSource, getAllInputShapes(methodName)[0], false, normMean_,
-      normStd_);
-
-  auto forwardResult = BaseModel::execute(methodName, {inputTensor});
-  if (!forwardResult.ok()) {
-    throw RnExecutorchError(
-        forwardResult.error(),
-        "The model's forward function did not succeed. "
-        "Ensure the model input is correct and method name '" +
-            methodName + "' is valid.");
-  }
-
-  return postprocess(forwardResult.get(), originalSize, modelInputSize,
-                     confidenceThreshold, iouThreshold, maxInstances,
-                     classIndices, returnMaskAtOriginalResolution);
-}
-
 } // namespace rnexecutorch::models::instance_segmentation
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index b353ed384d..077e7ba062 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -8,7 +8,7 @@
 
 #include "Types.h"
 #include "rnexecutorch/metaprogramming/ConstructorHelpers.h"
-#include <rnexecutorch/models/BaseModel.h>
+#include <rnexecutorch/models/VisionModel.h>
 #include <rnexecutorch/utils/computer_vision/Types.h>
 
 namespace rnexecutorch {
@@ -16,7 +16,7 @@ namespace models::instance_segmentation {
 using executorch::extension::TensorPtr;
 using executorch::runtime::EValue;
 
-class BaseInstanceSegmentation : public BaseModel {
+class BaseInstanceSegmentation : public VisionModel {
 public:
   BaseInstanceSegmentation(const std::string &modelSource,
                            std::vector<float> normMean,
@@ -24,12 +24,36 @@ class BaseInstanceSegmentation : public BaseModel {
                            std::shared_ptr<react::CallInvoker> callInvoker);
 
   [[nodiscard("Registered non-void function")]] std::vector<types::Instance>
-  generate(std::string imageSource, double confidenceThreshold,
-           double iouThreshold, int32_t maxInstances,
-           std::vector<int32_t> classIndices,
-           bool returnMaskAtOriginalResolution, std::string methodName);
+  generateFromString(std::string imageSource, double confidenceThreshold,
+                     double iouThreshold, int32_t maxInstances,
+                     std::vector<int32_t> classIndices,
+                     bool returnMaskAtOriginalResolution,
+                     std::string methodName);
+
+  [[nodiscard("Registered non-void function")]] std::vector<types::Instance>
+  generateFromFrame(jsi::Runtime &runtime, const jsi::Value &frameData,
+                    double confidenceThreshold, double iouThreshold,
+                    int32_t maxInstances, std::vector<int32_t> classIndices,
+                    bool returnMaskAtOriginalResolution,
+                    std::string methodName);
+
+  [[nodiscard("Registered non-void function")]] std::vector<types::Instance>
+  generateFromPixels(const JSTensorViewIn &tensorView,
+                     double confidenceThreshold, double iouThreshold,
+                     int32_t maxInstances, std::vector<int32_t> classIndices,
+                     bool returnMaskAtOriginalResolution,
+                     std::string methodName);
+
+protected:
+  cv::Mat preprocess(const cv::Mat &image) const override;
+  cv::Size modelInputSize() const override;
 
 private:
+  std::vector<types::Instance> runInference(
+      const cv::Mat &image, double confidenceThreshold, double iouThreshold,
+      int32_t maxInstances, const std::vector<int32_t> &classIndices,
+      bool returnMaskAtOriginalResolution, const std::string &methodName);
+
   std::vector<types::Instance>
   postprocess(const std::vector<EValue> &tensors, cv::Size originalSize,
               cv::Size modelInputSize, double confidenceThreshold,
@@ -85,4 +109,3 @@ class BaseInstanceSegmentation : public BaseModel {
 REGISTER_CONSTRUCTOR(models::instance_segmentation::BaseInstanceSegmentation,
                      std::string, std::vector<float>, std::vector<float>, bool,
                      std::shared_ptr<react::CallInvoker>);
-} // namespace rnexecutorch

From d86bae2232b61a2b96654c55a1400e206ec3c4e8 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Fri, 13 Mar 2026 09:07:15 +0100
Subject: [PATCH 34/56] Change inheritance to VisionModel

---
 .../useInstanceSegmentation.ts                |  2 +
 .../InstanceSegmentationModule.ts             | 47 +++++++++++++------
 .../src/types/instanceSegmentation.ts         | 22 ++++++++-
 3 files changed, 55 insertions(+), 16 deletions(-)

diff --git a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
index fe9dc92e85..8a60941fb4 100644
--- a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
+++ b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
@@ -53,6 +53,7 @@ export const useInstanceSegmentation = <
     downloadProgress,
     runForward,
     instance,
+    runOnFrame,
   } = useModuleFactory({
     factory: (config, onProgress) =>
       InstanceSegmentationModule.fromModelName(config, onProgress),
@@ -74,5 +75,6 @@ export const useInstanceSegmentation = <
     downloadProgress,
     forward,
     getAvailableInputSizes,
+    runOnFrame,
   };
 };
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index 0cfc64a5c7..2e6bea5c18 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -1,4 +1,4 @@
-import { ResourceSource, LabelEnum } from '../../types/common';
+import { ResourceSource, LabelEnum, PixelData } from '../../types/common';
 import {
   InstanceSegmentationModelSources,
   InstanceSegmentationConfig,
@@ -11,10 +11,10 @@ import {
 import { RnExecutorchErrorCode } from '../../errors/ErrorCodes';
 import { RnExecutorchError } from '../../errors/errorUtils';
 import {
-  BaseLabeledModule,
   fetchModelPath,
   ResolveLabels as ResolveLabelsFor,
-} from '../BaseLabeledModule';
+  VisionLabeledModule,
+} from './VisionLabeledModule';
 import {
   CocoLabel,
   CocoLabelYolo,
@@ -128,7 +128,10 @@ type ResolveLabels<T extends InstanceSegmentationModelName | LabelEnum> =
  */
 export class InstanceSegmentationModule<
   T extends InstanceSegmentationModelName | LabelEnum,
-> extends BaseLabeledModule<ResolveLabels<T>> {
+> extends VisionLabeledModule<
+  SegmentedInstance<ResolveLabels<T>>[],
+  ResolveLabels<T>
+> {
   private modelConfig: InstanceSegmentationConfig<LabelEnum>;
   private classIndexToLabel: Map<number, string>;
   private labelEnumOffset: number;
@@ -271,7 +274,11 @@ export class InstanceSegmentationModule<
   /**
    * Executes the model's forward pass to perform instance segmentation on the provided image.
    *
-   * @param imageSource - A string representing the image source (e.g., a file path, URI, or Base64-encoded string).
+   * Supports two input types:
+   * 1. **String path/URI**: File path, URL, or Base64-encoded string
+   * 2. **PixelData**: Raw pixel data from image libraries (e.g., NitroImage)
+   *
+   * @param input - Image source (string path or PixelData object)
    * @param options - Optional configuration for the segmentation process. Includes `confidenceThreshold`, `iouThreshold`, `maxInstances`, `classesOfInterest`, `returnMaskAtOriginalResolution`, and `inputSize`.
    * @returns A Promise resolving to an array of {@link SegmentedInstance} objects with `bbox`, `mask`, `maskWidth`, `maskHeight`, `label`, `score`, and `instanceId`.
    * @throws {RnExecutorchError} If the model is not loaded or if an invalid `inputSize` is provided.
@@ -293,7 +300,7 @@ export class InstanceSegmentationModule<
    * ```
    */
   async forward(
-    imageSource: string,
+    input: string | PixelData,
     options?: InstanceSegmentationOptions<ResolveLabels<T>>
   ): Promise<SegmentedInstance<ResolveLabels<T>>[]> {
     if (this.nativeModule == null) {
@@ -342,15 +349,25 @@ export class InstanceSegmentationModule<
       : [];
 
     const nativeResult: NativeSegmentedInstance[] =
-      await this.nativeModule.generate(
-        imageSource,
-        confidenceThreshold,
-        iouThreshold,
-        maxInstances,
-        classIndices,
-        returnMaskAtOriginalResolution,
-        methodName
-      );
+      typeof input === 'string'
+        ? await this.nativeModule.generateFromString(
+            input,
+            confidenceThreshold,
+            iouThreshold,
+            maxInstances,
+            classIndices,
+            returnMaskAtOriginalResolution,
+            methodName
+          )
+        : await this.nativeModule.generateFromPixels(
+            input,
+            confidenceThreshold,
+            iouThreshold,
+            maxInstances,
+            classIndices,
+            returnMaskAtOriginalResolution,
+            methodName
+          );
 
     return nativeResult.map((inst) => ({
       bbox: inst.bbox,
diff --git a/packages/react-native-executorch/src/types/instanceSegmentation.ts b/packages/react-native-executorch/src/types/instanceSegmentation.ts
index d33221ada9..5e972060ff 100644
--- a/packages/react-native-executorch/src/types/instanceSegmentation.ts
+++ b/packages/react-native-executorch/src/types/instanceSegmentation.ts
@@ -1,5 +1,5 @@
 import { RnExecutorchError } from '../errors/errorUtils';
-import { LabelEnum, ResourceSource, Triple } from './common';
+import { LabelEnum, ResourceSource, Triple, Frame } from './common';
 import { Bbox } from './objectDetection';
 
 /**
@@ -196,4 +196,24 @@ export interface InstanceSegmentationType<L extends LabelEnum> {
    * @returns An array of available input sizes, or undefined if not constrained.
    */
   getAvailableInputSizes: () => readonly number[] | undefined;
+
+  /**
+   * Synchronous worklet function for real-time VisionCamera frame processing.
+   * Automatically handles native buffer extraction and cleanup.
+   *
+   * **Use this for VisionCamera frame processing in worklets.**
+   * For async processing, use `forward()` instead.
+   *
+   * Available after model is loaded (`isReady: true`).
+   *
+   * @param frame - VisionCamera Frame object
+   * @param options - Optional configuration for the segmentation process.
+   * @returns Array of SegmentedInstance objects representing detected items in the frame.
+   */
+  runOnFrame:
+    | ((
+        frame: Frame,
+        options?: InstanceSegmentationOptions<L>
+      ) => SegmentedInstance<L>[])
+    | null;
 }

From 9c9618bb35a474354606b752a3268c174aab5ae2 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Fri, 13 Mar 2026 12:17:08 +0100
Subject: [PATCH 35/56] Add live instance segmentation

---
 .../app/vision_camera/index.tsx               | 627 ++++++++++++++++--
 .../BaseInstanceSegmentation.cpp              |   7 +-
 .../BaseInstanceSegmentation.h                |   7 +-
 .../InstanceSegmentationModule.ts             |  73 ++
 4 files changed, 641 insertions(+), 73 deletions(-)

diff --git a/apps/computer-vision/app/vision_camera/index.tsx b/apps/computer-vision/app/vision_camera/index.tsx
index aab9d1afb8..7ab1ec3e6c 100644
--- a/apps/computer-vision/app/vision_camera/index.tsx
+++ b/apps/computer-vision/app/vision_camera/index.tsx
@@ -3,6 +3,7 @@ import React, {
   useContext,
   useEffect,
   useMemo,
+  useRef,
   useState,
 } from 'react';
 import {
@@ -17,20 +18,49 @@ import { useSafeAreaInsets } from 'react-native-safe-area-context';
 import { useIsFocused } from '@react-navigation/native';
 import {
   Camera,
+  Frame,
   getCameraFormat,
   Templates,
   useCameraDevices,
   useCameraPermission,
   useFrameOutput,
 } from 'react-native-vision-camera';
-import { createSynchronizable } from 'react-native-worklets';
+import { createSynchronizable, scheduleOnRN } from 'react-native-worklets';
+import {
+  DEEPLAB_V3_RESNET50_QUANTIZED,
+  DEEPLAB_V3_RESNET101_QUANTIZED,
+  DEEPLAB_V3_MOBILENET_V3_LARGE_QUANTIZED,
+  LRASPP_MOBILENET_V3_LARGE_QUANTIZED,
+  FCN_RESNET50_QUANTIZED,
+  FCN_RESNET101_QUANTIZED,
+  SELFIE_SEGMENTATION,
+  Detection,
+  EFFICIENTNET_V2_S,
+  RF_DETR_NANO,
+  SSDLITE_320_MOBILENET_V3_LARGE,
+  useClassification,
+  useSemanticSegmentation,
+  useObjectDetection,
+  useInstanceSegmentation,
+  YOLO26N_SEG,
+  SegmentedInstance,
+} from 'react-native-executorch';
+import {
+  AlphaType,
+  Canvas,
+  ColorType,
+  Image as SkiaImage,
+  Skia,
+  SkImage,
+} from '@shopify/react-native-skia';
 import Svg, { Path, Polygon } from 'react-native-svg';
 import { GeneratingContext } from '../../context';
 import Spinner from '../../components/Spinner';
 import ColorPalette from '../../colors';
-import ClassificationTask from '../../components/vision_camera/tasks/ClassificationTask';
-import ObjectDetectionTask from '../../components/vision_camera/tasks/ObjectDetectionTask';
-import SegmentationTask from '../../components/vision_camera/tasks/SegmentationTask';
+import {
+  buildDisplayInstances,
+  DisplayInstance,
+} from '../../components/ImageWithMasks';
 
 type TaskId =
   | 'classification'
@@ -87,8 +117,48 @@ const TASKS: Task[] = [
   },
 ];
 
-// Module-level const so worklets in task components can always reference the same stable object.
-// Never replaced — only mutated via setBlocking to avoid closure staleness.
+const CLASS_COLORS: number[][] = [
+  [0, 0, 0, 0],
+  [51, 255, 87, 180],
+  [51, 87, 255, 180],
+  [255, 51, 246, 180],
+  [51, 255, 246, 180],
+  [243, 255, 51, 180],
+  [141, 51, 255, 180],
+  [255, 131, 51, 180],
+  [51, 255, 131, 180],
+  [131, 51, 255, 180],
+  [255, 255, 51, 180],
+  [51, 255, 255, 180],
+  [255, 51, 143, 180],
+  [127, 51, 255, 180],
+  [51, 255, 175, 180],
+  [255, 175, 51, 180],
+  [179, 255, 51, 180],
+  [255, 87, 51, 180],
+  [255, 51, 162, 180],
+  [51, 162, 255, 180],
+  [162, 51, 255, 180],
+];
+
+function hashLabel(label: string): number {
+  let hash = 5381;
+  for (let i = 0; i < label.length; i++) {
+    hash = (hash + hash * 32 + label.charCodeAt(i)) % 1000003;
+  }
+  return 1 + (Math.abs(hash) % (CLASS_COLORS.length - 1));
+}
+
+function labelColor(label: string): string {
+  const color = CLASS_COLORS[hashLabel(label)]!;
+  return `rgba(${color[0]},${color[1]},${color[2]},1)`;
+}
+
+function labelColorBg(label: string): string {
+  const color = CLASS_COLORS[hashLabel(label)]!;
+  return `rgba(${color[0]},${color[1]},${color[2]},0.75)`;
+}
+
 const frameKillSwitch = createSynchronizable(false);
 
 export default function VisionCameraScreen() {
@@ -96,18 +166,99 @@ export default function VisionCameraScreen() {
   const [activeTask, setActiveTask] = useState<TaskId>('classification');
   const [activeModel, setActiveModel] = useState<ModelId>('classification');
   const [canvasSize, setCanvasSize] = useState({ width: 1, height: 1 });
-  const [cameraPosition, setCameraPosition] = useState<'front' | 'back'>(
+  const [cameraPosition, setCameraPosition] = useState<'back' | 'front'>(
     'back'
   );
-  const [fps, setFps] = useState(0);
-  const [frameMs, setFrameMs] = useState(0);
-  const [isReady, setIsReady] = useState(false);
-  const [downloadProgress, setDownloadProgress] = useState(0);
-  const [frameOutput, setFrameOutput] = useState<ReturnType<
-    typeof useFrameOutput
-  > | null>(null);
   const { setGlobalGenerating } = useContext(GeneratingContext);
 
+  const classification = useClassification({
+    model: EFFICIENTNET_V2_S,
+    preventLoad: activeModel !== 'classification',
+  });
+  const objectDetectionSsdlite = useObjectDetection({
+    model: SSDLITE_320_MOBILENET_V3_LARGE,
+    preventLoad: activeModel !== 'objectDetection_ssdlite',
+  });
+  const objectDetectionRfdetr = useObjectDetection({
+    model: RF_DETR_NANO,
+    preventLoad: activeModel !== 'objectDetection_rfdetr',
+  });
+
+  const activeObjectDetection =
+    {
+      objectDetection_ssdlite: objectDetectionSsdlite,
+      objectDetection_rfdetr: objectDetectionRfdetr,
+    }[activeModel as 'objectDetection_ssdlite' | 'objectDetection_rfdetr'] ??
+    null;
+  const segDeeplabResnet50 = useSemanticSegmentation({
+    model: DEEPLAB_V3_RESNET50_QUANTIZED,
+    preventLoad: activeModel !== 'segmentation_deeplab_resnet50',
+  });
+  const segDeeplabResnet101 = useSemanticSegmentation({
+    model: DEEPLAB_V3_RESNET101_QUANTIZED,
+    preventLoad: activeModel !== 'segmentation_deeplab_resnet101',
+  });
+  const segDeeplabMobilenet = useSemanticSegmentation({
+    model: DEEPLAB_V3_MOBILENET_V3_LARGE_QUANTIZED,
+    preventLoad: activeModel !== 'segmentation_deeplab_mobilenet',
+  });
+  const segLraspp = useSemanticSegmentation({
+    model: LRASPP_MOBILENET_V3_LARGE_QUANTIZED,
+    preventLoad: activeModel !== 'segmentation_lraspp',
+  });
+  const segFcnResnet50 = useSemanticSegmentation({
+    model: FCN_RESNET50_QUANTIZED,
+    preventLoad: activeModel !== 'segmentation_fcn_resnet50',
+  });
+  const segFcnResnet101 = useSemanticSegmentation({
+    model: FCN_RESNET101_QUANTIZED,
+    preventLoad: activeModel !== 'segmentation_fcn_resnet101',
+  });
+  const segSelfie = useSemanticSegmentation({
+    model: SELFIE_SEGMENTATION,
+    preventLoad: activeModel !== 'segmentation_selfie',
+  });
+  const instanceSegmentation = useInstanceSegmentation({
+    model: YOLO26N_SEG,
+    preventLoad: activeModel !== 'instanceSegmentation_yolo26n',
+  });
+
+  const activeSegmentation =
+    {
+      segmentation_deeplab_resnet50: segDeeplabResnet50,
+      segmentation_deeplab_resnet101: segDeeplabResnet101,
+      segmentation_deeplab_mobilenet: segDeeplabMobilenet,
+      segmentation_lraspp: segLraspp,
+      segmentation_fcn_resnet50: segFcnResnet50,
+      segmentation_fcn_resnet101: segFcnResnet101,
+      segmentation_selfie: segSelfie,
+    }[
+      activeModel as
+        | 'segmentation_deeplab_resnet50'
+        | 'segmentation_deeplab_resnet101'
+        | 'segmentation_deeplab_mobilenet'
+        | 'segmentation_lraspp'
+        | 'segmentation_fcn_resnet50'
+        | 'segmentation_fcn_resnet101'
+        | 'segmentation_selfie'
+    ] ?? null;
+
+  const activeIsGenerating =
+    activeModel === 'classification'
+      ? classification.isGenerating
+      : activeModel.startsWith('objectDetection')
+        ? (activeObjectDetection?.isGenerating ?? false)
+        : activeModel.startsWith('instanceSegmentation')
+          ? instanceSegmentation.isGenerating
+          : (activeSegmentation?.isGenerating ?? false);
+
+  useEffect(() => {
+    setGlobalGenerating(activeIsGenerating);
+  }, [activeIsGenerating, setGlobalGenerating]);
+
+  const [fps, setFps] = useState(0);
+  const [frameMs, setFrameMs] = useState(0);
+  const lastFrameTimeRef = useRef(Date.now());
   const isFocused = useIsFocused();
   const cameraPermission = useCameraPermission();
   const devices = useCameraDevices();
@@ -122,25 +273,219 @@ export default function VisionCameraScreen() {
     }
   }, [device]);
 
+  const [classResult, setClassResult] = useState({ label: '', score: 0 });
+  const [detections, setDetections] = useState<Detection[]>([]);
+  const [imageSize, setImageSize] = useState({ width: 1, height: 1 });
+  const [maskImage, setMaskImage] = useState<SkImage | null>(null);
+  const [segmentedInstances, setSegmentedInstances] = useState<
+    DisplayInstance[]
+  >([]);
+
+  const updateClass = useCallback((r: { label: string; score: number }) => {
+    setClassResult(r);
+    const now = Date.now();
+    const diff = now - lastFrameTimeRef.current;
+    if (diff > 0) {
+      setFps(Math.round(1000 / diff));
+      setFrameMs(diff);
+    }
+    lastFrameTimeRef.current = now;
+  }, []);
+
+  const updateFps = useCallback(() => {
+    const now = Date.now();
+    const diff = now - lastFrameTimeRef.current;
+    if (diff > 0) {
+      setFps(Math.round(1000 / diff));
+      setFrameMs(diff);
+    }
+    lastFrameTimeRef.current = now;
+  }, []);
+
+  const updateDetections = useCallback(
+    (p: { results: Detection[]; imageWidth: number; imageHeight: number }) => {
+      setDetections(p.results);
+      setImageSize({ width: p.imageWidth, height: p.imageHeight });
+      updateFps();
+    },
+    [updateFps]
+  );
+
+  const updateSegmentedInstances = useCallback(
+    (p: {
+      results: SegmentedInstance<any>[];
+      imageWidth: number;
+      imageHeight: number;
+    }) => {
+      const displayInstances = buildDisplayInstances(
+        p.results.map((inst) => ({
+          ...inst,
+          label: String(inst.label),
+        }))
+      );
+      setSegmentedInstances((prev) => {
+        // Dispose old mask images
+        prev.forEach((inst) => inst.maskImage.dispose());
+        return displayInstances;
+      });
+      setImageSize({ width: p.imageWidth, height: p.imageHeight });
+      updateFps();
+    },
+    [updateFps]
+  );
+
+  const updateMask = useCallback(
+    (img: SkImage) => {
+      setMaskImage((prev) => {
+        prev?.dispose();
+        return img;
+      });
+      updateFps();
+    },
+    [updateFps]
+  );
+
+  const classRof = classification.runOnFrame;
+  const detRof = activeObjectDetection?.runOnFrame ?? null;
+  const segRof = activeSegmentation?.runOnFrame ?? null;
+  const instSegRof = instanceSegmentation.runOnFrame;
+
   useEffect(() => {
     frameKillSwitch.setBlocking(true);
+    setMaskImage((prev) => {
+      prev?.dispose();
+      return null;
+    });
     const id = setTimeout(() => {
       frameKillSwitch.setBlocking(false);
     }, 300);
     return () => clearTimeout(id);
   }, [activeModel]);
 
-  const handleFpsChange = useCallback((newFps: number, newMs: number) => {
-    setFps(newFps);
-    setFrameMs(newMs);
-  }, []);
+  const frameOutput = useFrameOutput({
+    pixelFormat: 'rgb',
+    dropFramesWhileBusy: true,
+    onFrame: useCallback(
+      (frame: Frame) => {
+        'worklet';
 
-  const handleGeneratingChange = useCallback(
-    (generating: boolean) => {
-      setGlobalGenerating(generating);
-    },
-    [setGlobalGenerating]
-  );
+        if (frameKillSwitch.getDirty()) {
+          frame.dispose();
+          return;
+        }
+
+        try {
+          if (activeModel === 'classification') {
+            if (!classRof) return;
+            const result = classRof(frame);
+            if (result) {
+              let bestLabel = '';
+              let bestScore = -1;
+              const entries = Object.entries(result);
+              for (let i = 0; i < entries.length; i++) {
+                const [label, score] = entries[i]!;
+                if ((score as number) > bestScore) {
+                  bestScore = score as number;
+                  bestLabel = label;
+                }
+              }
+              scheduleOnRN(updateClass, { label: bestLabel, score: bestScore });
+            }
+          } else if (activeModel.startsWith('objectDetection')) {
+            if (!detRof) return;
+            const iw = frame.width > frame.height ? frame.height : frame.width;
+            const ih = frame.width > frame.height ? frame.width : frame.height;
+            const result = detRof(frame, 0.5);
+            if (result) {
+              scheduleOnRN(updateDetections, {
+                results: result,
+                imageWidth: iw,
+                imageHeight: ih,
+              });
+            }
+          } else if (activeModel.startsWith('segmentation')) {
+            if (!segRof) return;
+            const result = segRof(frame, [], false);
+            if (result?.ARGMAX) {
+              const argmax: Int32Array = result.ARGMAX;
+              const side = Math.round(Math.sqrt(argmax.length));
+              const pixels = new Uint8Array(side * side * 4);
+              for (let i = 0; i < argmax.length; i++) {
+                const color = CLASS_COLORS[argmax[i]!] ?? [0, 0, 0, 0];
+                pixels[i * 4] = color[0]!;
+                pixels[i * 4 + 1] = color[1]!;
+                pixels[i * 4 + 2] = color[2]!;
+                pixels[i * 4 + 3] = color[3]!;
+              }
+              const skData = Skia.Data.fromBytes(pixels);
+              const img = Skia.Image.MakeImage(
+                {
+                  width: side,
+                  height: side,
+                  alphaType: AlphaType.Unpremul,
+                  colorType: ColorType.RGBA_8888,
+                },
+                skData,
+                side * 4
+              );
+              if (img) scheduleOnRN(updateMask, img);
+            }
+          } else if (activeModel.startsWith('instanceSegmentation')) {
+            if (!instSegRof) return;
+            const iw = frame.width > frame.height ? frame.height : frame.width;
+            const ih = frame.width > frame.height ? frame.width : frame.height;
+            const result = instSegRof(frame, {
+              confidenceThreshold: 0.5,
+              iouThreshold: 0.5,
+              maxInstances: 5,
+              returnMaskAtOriginalResolution: false,
+              inputSize: 384,
+            });
+            if (result) {
+              scheduleOnRN(updateSegmentedInstances, {
+                results: result,
+                imageWidth: iw,
+                imageHeight: ih,
+              });
+            }
+          }
+        } catch {
+          // ignore
+        } finally {
+          frame.dispose();
+        }
+      },
+      [
+        activeModel,
+        classRof,
+        detRof,
+        segRof,
+        instSegRof,
+        updateClass,
+        updateDetections,
+        updateSegmentedInstances,
+        updateMask,
+      ]
+    ),
+  });
+
+  const activeIsReady =
+    activeModel === 'classification'
+      ? classification.isReady
+      : activeModel.startsWith('objectDetection')
+        ? (activeObjectDetection?.isReady ?? false)
+        : activeModel.startsWith('instanceSegmentation')
+          ? instanceSegmentation.isReady
+          : (activeSegmentation?.isReady ?? false);
+
+  const activeDownloadProgress =
+    activeModel === 'classification'
+      ? classification.downloadProgress
+      : activeModel.startsWith('objectDetection')
+        ? (activeObjectDetection?.downloadProgress ?? 0)
+        : activeModel.startsWith('instanceSegmentation')
+          ? instanceSegmentation.downloadProgress
+          : (activeSegmentation?.downloadProgress ?? 0);
 
   if (!cameraPermission.hasPermission) {
     return (
@@ -164,23 +509,26 @@ export default function VisionCameraScreen() {
     );
   }
 
+  function coverFit(imgW: number, imgH: number) {
+    const scale = Math.max(canvasSize.width / imgW, canvasSize.height / imgH);
+    return {
+      scale,
+      offsetX: (canvasSize.width - imgW * scale) / 2,
+      offsetY: (canvasSize.height - imgH * scale) / 2,
+    };
+  }
+
+  const {
+    scale: detScale,
+    offsetX: detOX,
+    offsetY: detOY,
+  } = coverFit(imageSize.width, imageSize.height);
+
   const activeTaskInfo = TASKS.find((t) => t.id === activeTask)!;
   const activeVariantLabel =
     activeTaskInfo.variants.find((v) => v.id === activeModel)?.label ??
     activeTaskInfo.variants[0]!.label;
 
-  const taskProps = {
-    activeModel,
-    canvasSize,
-    cameraPosition,
-    frameKillSwitch,
-    onFrameOutputChange: setFrameOutput,
-    onReadyChange: setIsReady,
-    onProgressChange: setDownloadProgress,
-    onGeneratingChange: handleGeneratingChange,
-    onFpsChange: handleFpsChange,
-  };
-
   return (
     <View style={styles.container}>
       <StatusBar barStyle="light-content" translucent />
@@ -188,15 +536,17 @@ export default function VisionCameraScreen() {
       <Camera
         style={StyleSheet.absoluteFill}
         device={device}
-        outputs={frameOutput ? [frameOutput] : []}
+        outputs={[frameOutput]}
         isActive={isFocused}
         format={format}
         orientationSource="interface"
       />
 
-      {/* Layout sentinel — measures the full-screen area for bbox/canvas sizing */}
       <View
-        style={StyleSheet.absoluteFill}
+        style={[
+          StyleSheet.absoluteFill,
+          cameraPosition === 'front' && { transform: [{ scaleX: -1 }] },
+        ]}
         pointerEvents="none"
         onLayout={(e) =>
           setCanvasSize({
@@ -204,38 +554,137 @@ export default function VisionCameraScreen() {
             height: e.nativeEvent.layout.height,
           })
         }
-      />
+      >
+        {activeModel.startsWith('segmentation') && maskImage && (
+          <Canvas style={StyleSheet.absoluteFill}>
+            <SkiaImage
+              image={maskImage}
+              fit="cover"
+              x={0}
+              y={0}
+              width={canvasSize.width}
+              height={canvasSize.height}
+            />
+          </Canvas>
+        )}
 
-      {activeTask === 'classification' && <ClassificationTask {...taskProps} />}
-      {activeTask === 'objectDetection' && (
-        <ObjectDetectionTask
-          {...taskProps}
-          activeModel={
-            activeModel as 'objectDetectionSsdlite' | 'objectDetectionRfdetr'
-          }
-        />
-      )}
-      {activeTask === 'segmentation' && (
-        <SegmentationTask
-          {...taskProps}
-          activeModel={
-            activeModel as
-              | 'segmentationDeeplabResnet50'
-              | 'segmentationDeeplabResnet101'
-              | 'segmentationDeeplabMobilenet'
-              | 'segmentationLraspp'
-              | 'segmentationFcnResnet50'
-              | 'segmentationFcnResnet101'
-              | 'segmentationSelfie'
-          }
-        />
-      )}
+        {activeModel.startsWith('objectDetection') && (
+          <>
+            {detections.map((det, i) => {
+              const left = det.bbox.x1 * detScale + detOX;
+              const top = det.bbox.y1 * detScale + detOY;
+              const w = (det.bbox.x2 - det.bbox.x1) * detScale;
+              const h = (det.bbox.y2 - det.bbox.y1) * detScale;
+              return (
+                <View
+                  key={i}
+                  style={[
+                    styles.bbox,
+                    {
+                      left,
+                      top,
+                      width: w,
+                      height: h,
+                      borderColor: labelColor(det.label),
+                    },
+                  ]}
+                >
+                  <View
+                    style={[
+                      styles.bboxLabel,
+                      { backgroundColor: labelColorBg(det.label) },
+                      cameraPosition === 'front' && {
+                        transform: [{ scaleX: -1 }],
+                      },
+                    ]}
+                  >
+                    <Text style={styles.bboxLabelText}>
+                      {det.label} {(det.score * 100).toFixed(1)}
+                    </Text>
+                  </View>
+                </View>
+              );
+            })}
+          </>
+        )}
+
+        {activeModel.startsWith('instanceSegmentation') && (
+          <>
+            {/* Render masks */}
+            <Canvas style={StyleSheet.absoluteFill} pointerEvents="none">
+              {segmentedInstances.map((inst, i) => {
+                const x = inst.bbox.x1 * detScale + detOX;
+                const y = inst.bbox.y1 * detScale + detOY;
+                const w = (inst.bbox.x2 - inst.bbox.x1) * detScale;
+                const h = (inst.bbox.y2 - inst.bbox.y1) * detScale;
+                return (
+                  <SkiaImage
+                    key={`mask-${i}`}
+                    image={inst.maskImage}
+                    x={x}
+                    y={y}
+                    width={w}
+                    height={h}
+                    fit="fill"
+                  />
+                );
+              })}
+            </Canvas>
+            {/* Render bounding boxes */}
+            {segmentedInstances.map((inst, i) => {
+              const left = inst.bbox.x1 * detScale + detOX;
+              const top = inst.bbox.y1 * detScale + detOY;
+              const w = (inst.bbox.x2 - inst.bbox.x1) * detScale;
+              const h = (inst.bbox.y2 - inst.bbox.y1) * detScale;
+              const label = String(inst.label);
+              return (
+                <View
+                  key={i}
+                  style={[
+                    styles.bbox,
+                    {
+                      left,
+                      top,
+                      width: w,
+                      height: h,
+                      borderColor: labelColor(label),
+                    },
+                  ]}
+                >
+                  <View
+                    style={[
+                      styles.bboxLabel,
+                      { backgroundColor: labelColorBg(label) },
+                      cameraPosition === 'front' && {
+                        transform: [{ scaleX: -1 }],
+                      },
+                    ]}
+                  >
+                    <Text style={styles.bboxLabelText}>
+                      {label} {(inst.score * 100).toFixed(1)}
+                    </Text>
+                  </View>
+                </View>
+              );
+            })}
+          </>
+        )}
+      </View>
+
+      {activeModel === 'classification' && classResult.label ? (
+        <View style={styles.classResultOverlay} pointerEvents="none">
+          <Text style={styles.classResultLabel}>{classResult.label}</Text>
+          <Text style={styles.classResultScore}>
+            {(classResult.score * 100).toFixed(1)}%
+          </Text>
+        </View>
+      ) : null}
 
-      {!isReady && (
+      {!activeIsReady && (
         <View style={styles.loadingOverlay}>
           <Spinner
             visible
-            textContent={`Loading ${activeTaskInfo.label} ${(downloadProgress * 100).toFixed(0)}%`}
+            textContent={`Loading ${activeTaskInfo.label} ${(activeDownloadProgress * 100).toFixed(0)}%`}
           />
         </View>
       )}
@@ -315,6 +764,7 @@ export default function VisionCameraScreen() {
           }
         >
           <Svg width={28} height={28} viewBox="0 0 24 24" fill="none">
+            {/* Camera body */}
             <Path
               d="M23 19a2 2 0 0 1-2 2H3a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h4l2-3h6l2 3h4a2 2 0 0 1 2 2z"
               stroke="white"
@@ -322,6 +772,7 @@ export default function VisionCameraScreen() {
               strokeLinecap="round"
               strokeLinejoin="round"
             />
+            {/* Rotate arrows — arc with arrowhead around the lens */}
             <Path
               d="M9 13.5a3 3 0 1 0 3-3"
               stroke="white"
@@ -359,6 +810,7 @@ const styles = StyleSheet.create({
     justifyContent: 'center',
     alignItems: 'center',
   },
+
   topOverlay: {
     position: 'absolute',
     top: 0,
@@ -388,6 +840,7 @@ const styles = StyleSheet.create({
     textShadowOffset: { width: 0, height: 1 },
     textShadowRadius: 4,
   },
+
   tabsContent: {
     paddingHorizontal: 12,
     gap: 6,
@@ -410,6 +863,7 @@ const styles = StyleSheet.create({
     fontWeight: '600',
   },
   tabTextActive: { color: 'white' },
+
   chipsContent: {
     paddingHorizontal: 12,
     gap: 6,
@@ -432,6 +886,47 @@ const styles = StyleSheet.create({
     fontWeight: '500',
   },
   variantChipTextActive: { color: 'white' },
+
+  bbox: {
+    position: 'absolute',
+    borderWidth: 2,
+    borderColor: 'cyan',
+    borderRadius: 4,
+  },
+  bboxLabel: {
+    position: 'absolute',
+    top: -22,
+    left: -2,
+    paddingHorizontal: 6,
+    paddingVertical: 2,
+    borderRadius: 4,
+  },
+  bboxLabelText: { color: 'white', fontSize: 11, fontWeight: '600' },
+
+  classResultOverlay: {
+    ...StyleSheet.absoluteFillObject,
+    justifyContent: 'center',
+    alignItems: 'center',
+  },
+  classResultLabel: {
+    color: 'white',
+    fontSize: 28,
+    fontWeight: '700',
+    textAlign: 'center',
+    textShadowColor: 'rgba(0,0,0,0.8)',
+    textShadowOffset: { width: 0, height: 1 },
+    textShadowRadius: 6,
+    paddingHorizontal: 24,
+  },
+  classResultScore: {
+    color: 'rgba(255,255,255,0.75)',
+    fontSize: 18,
+    fontWeight: '500',
+    marginTop: 4,
+    textShadowColor: 'rgba(0,0,0,0.8)',
+    textShadowOffset: { width: 0, height: 1 },
+    textShadowRadius: 6,
+  },
   bottomOverlay: {
     position: 'absolute',
     bottom: 0,
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index 9fafccb8ed..48e74de7bd 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -117,10 +117,9 @@ std::vector<types::Instance> BaseInstanceSegmentation::generateFromFrame(
 }
 
 std::vector<types::Instance> BaseInstanceSegmentation::generateFromPixels(
-    const JSTensorViewIn &tensorView, double confidenceThreshold,
-    double iouThreshold, int32_t maxInstances,
-    std::vector<int32_t> classIndices, bool returnMaskAtOriginalResolution,
-    std::string methodName) {
+    JSTensorViewIn tensorView, double confidenceThreshold, double iouThreshold,
+    int32_t maxInstances, std::vector<int32_t> classIndices,
+    bool returnMaskAtOriginalResolution, std::string methodName) {
 
   cv::Mat image = extractFromPixels(tensorView);
   return runInference(image, confidenceThreshold, iouThreshold, maxInstances,
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index 077e7ba062..dfddb2673e 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -38,9 +38,9 @@ class BaseInstanceSegmentation : public VisionModel {
                     std::string methodName);
 
   [[nodiscard("Registered non-void function")]] std::vector<types::Instance>
-  generateFromPixels(const JSTensorViewIn &tensorView,
-                     double confidenceThreshold, double iouThreshold,
-                     int32_t maxInstances, std::vector<int32_t> classIndices,
+  generateFromPixels(JSTensorViewIn tensorView, double confidenceThreshold,
+                     double iouThreshold, int32_t maxInstances,
+                     std::vector<int32_t> classIndices,
                      bool returnMaskAtOriginalResolution,
                      std::string methodName);
 
@@ -109,3 +109,4 @@ class BaseInstanceSegmentation : public VisionModel {
 REGISTER_CONSTRUCTOR(models::instance_segmentation::BaseInstanceSegmentation,
                      std::string, std::vector<float>, std::vector<float>, bool,
                      std::shared_ptr<react::CallInvoker>);
+} // namespace rnexecutorch
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index 2e6bea5c18..e9588d3849 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -271,6 +271,79 @@ export class InstanceSegmentationModule<
     return this.modelConfig.availableInputSizes;
   }
 
+  /**
+   * Override runOnFrame to add label mapping for VisionCamera integration.
+   * The parent's runOnFrame returns raw native results with class indices;
+   * this override maps them to label strings and provides an options-based API.
+   */
+  override get runOnFrame():
+    | ((
+        frame: any,
+        options?: InstanceSegmentationOptions<ResolveLabels<T>>
+      ) => SegmentedInstance<ResolveLabels<T>>[])
+    | null {
+    const baseRunOnFrame = super.runOnFrame;
+    if (!baseRunOnFrame) return null;
+
+    // Convert Map to plain object for worklet serialization
+    const labelLookup: Record<number, string> = {};
+    this.classIndexToLabel.forEach((label, index) => {
+      labelLookup[index] = label;
+    });
+    const labelEnumOffset = this.labelEnumOffset;
+    const defaultConfidenceThreshold =
+      this.modelConfig.defaultConfidenceThreshold ?? 0.5;
+    const defaultIouThreshold = this.modelConfig.defaultIouThreshold ?? 0.5;
+    const defaultInputSize = this.modelConfig.defaultInputSize;
+
+    return (
+      frame: any,
+      options?: InstanceSegmentationOptions<ResolveLabels<T>>
+    ): SegmentedInstance<ResolveLabels<T>>[] => {
+      'worklet';
+
+      const confidenceThreshold =
+        options?.confidenceThreshold ?? defaultConfidenceThreshold;
+      const iouThreshold = options?.iouThreshold ?? defaultIouThreshold;
+      const maxInstances = options?.maxInstances ?? 100;
+      const returnMaskAtOriginalResolution =
+        options?.returnMaskAtOriginalResolution ?? true;
+      const inputSize = options?.inputSize ?? defaultInputSize;
+      const methodName =
+        inputSize !== undefined ? `forward_${inputSize}` : 'forward';
+
+      const classIndices = options?.classesOfInterest
+        ? options.classesOfInterest.map((label) => {
+            const labelStr = String(label);
+            const enumValue = (labelLookup as any)[labelStr];
+            return typeof enumValue === 'number'
+              ? enumValue - labelEnumOffset
+              : -1;
+          })
+        : [];
+
+      const nativeResults = baseRunOnFrame(
+        frame,
+        confidenceThreshold,
+        iouThreshold,
+        maxInstances,
+        classIndices,
+        returnMaskAtOriginalResolution,
+        methodName
+      );
+      return nativeResults.map((inst: any) => ({
+        bbox: inst.bbox,
+        mask: inst.mask,
+        maskWidth: inst.maskWidth,
+        maskHeight: inst.maskHeight,
+        label: (labelLookup[inst.classIndex - labelEnumOffset] ??
+          String(inst.classIndex)) as keyof ResolveLabels<T>,
+        score: inst.score,
+        instanceId: inst.instanceId,
+      }));
+    };
+  }
+
   /**
    * Executes the model's forward pass to perform instance segmentation on the provided image.
    *

From abda932c4020d42ae751418faaab90b5d4625f4a Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Fri, 13 Mar 2026 17:26:57 +0100
Subject: [PATCH 36/56] Checkout upstream app

---
 .../app/vision_camera/index.tsx               | 646 +++---------------
 .../tasks/InstanceSegmentationTask.tsx        | 241 +++++++
 .../useInstanceSegmentation.ts                |   1 +
 3 files changed, 325 insertions(+), 563 deletions(-)
 create mode 100644 apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx

diff --git a/apps/computer-vision/app/vision_camera/index.tsx b/apps/computer-vision/app/vision_camera/index.tsx
index 7ab1ec3e6c..dd7f016100 100644
--- a/apps/computer-vision/app/vision_camera/index.tsx
+++ b/apps/computer-vision/app/vision_camera/index.tsx
@@ -3,7 +3,6 @@ import React, {
   useContext,
   useEffect,
   useMemo,
-  useRef,
   useState,
 } from 'react';
 import {
@@ -18,49 +17,21 @@ import { useSafeAreaInsets } from 'react-native-safe-area-context';
 import { useIsFocused } from '@react-navigation/native';
 import {
   Camera,
-  Frame,
   getCameraFormat,
   Templates,
   useCameraDevices,
   useCameraPermission,
   useFrameOutput,
 } from 'react-native-vision-camera';
-import { createSynchronizable, scheduleOnRN } from 'react-native-worklets';
-import {
-  DEEPLAB_V3_RESNET50_QUANTIZED,
-  DEEPLAB_V3_RESNET101_QUANTIZED,
-  DEEPLAB_V3_MOBILENET_V3_LARGE_QUANTIZED,
-  LRASPP_MOBILENET_V3_LARGE_QUANTIZED,
-  FCN_RESNET50_QUANTIZED,
-  FCN_RESNET101_QUANTIZED,
-  SELFIE_SEGMENTATION,
-  Detection,
-  EFFICIENTNET_V2_S,
-  RF_DETR_NANO,
-  SSDLITE_320_MOBILENET_V3_LARGE,
-  useClassification,
-  useSemanticSegmentation,
-  useObjectDetection,
-  useInstanceSegmentation,
-  YOLO26N_SEG,
-  SegmentedInstance,
-} from 'react-native-executorch';
-import {
-  AlphaType,
-  Canvas,
-  ColorType,
-  Image as SkiaImage,
-  Skia,
-  SkImage,
-} from '@shopify/react-native-skia';
+import { createSynchronizable } from 'react-native-worklets';
 import Svg, { Path, Polygon } from 'react-native-svg';
 import { GeneratingContext } from '../../context';
 import Spinner from '../../components/Spinner';
 import ColorPalette from '../../colors';
-import {
-  buildDisplayInstances,
-  DisplayInstance,
-} from '../../components/ImageWithMasks';
+import ClassificationTask from './tasks/ClassificationTask';
+import ObjectDetectionTask from './tasks/ObjectDetectionTask';
+import SegmentationTask from './tasks/SegmentationTask';
+import InstanceSegmentationTask from './tasks/InstanceSegmentationTask';
 
 type TaskId =
   | 'classification'
@@ -78,7 +49,8 @@ type ModelId =
   | 'segmentation_fcn_resnet50'
   | 'segmentation_fcn_resnet101'
   | 'segmentation_selfie'
-  | 'instanceSegmentation_yolo26n';
+  | 'instanceSegmentation_yolo26n'
+  | 'instanceSegmentation_rfdetr';
 
 type TaskVariant = { id: ModelId; label: string };
 type Task = { id: TaskId; label: string; variants: TaskVariant[] };
@@ -113,52 +85,15 @@ const TASKS: Task[] = [
   {
     id: 'instanceSegmentation',
     label: 'Inst Seg',
-    variants: [{ id: 'instanceSegmentation_yolo26n', label: 'YOLO26N Seg' }],
+    variants: [
+      { id: 'instanceSegmentation_yolo26n', label: 'YOLO26N Seg' },
+      { id: 'instanceSegmentation_rfdetr', label: 'RF-DETR Seg' },
+    ],
   },
 ];
 
-const CLASS_COLORS: number[][] = [
-  [0, 0, 0, 0],
-  [51, 255, 87, 180],
-  [51, 87, 255, 180],
-  [255, 51, 246, 180],
-  [51, 255, 246, 180],
-  [243, 255, 51, 180],
-  [141, 51, 255, 180],
-  [255, 131, 51, 180],
-  [51, 255, 131, 180],
-  [131, 51, 255, 180],
-  [255, 255, 51, 180],
-  [51, 255, 255, 180],
-  [255, 51, 143, 180],
-  [127, 51, 255, 180],
-  [51, 255, 175, 180],
-  [255, 175, 51, 180],
-  [179, 255, 51, 180],
-  [255, 87, 51, 180],
-  [255, 51, 162, 180],
-  [51, 162, 255, 180],
-  [162, 51, 255, 180],
-];
-
-function hashLabel(label: string): number {
-  let hash = 5381;
-  for (let i = 0; i < label.length; i++) {
-    hash = (hash + hash * 32 + label.charCodeAt(i)) % 1000003;
-  }
-  return 1 + (Math.abs(hash) % (CLASS_COLORS.length - 1));
-}
-
-function labelColor(label: string): string {
-  const color = CLASS_COLORS[hashLabel(label)]!;
-  return `rgba(${color[0]},${color[1]},${color[2]},1)`;
-}
-
-function labelColorBg(label: string): string {
-  const color = CLASS_COLORS[hashLabel(label)]!;
-  return `rgba(${color[0]},${color[1]},${color[2]},0.75)`;
-}
-
+// Module-level const so worklets in task components can always reference the same stable object.
+// Never replaced — only mutated via setBlocking to avoid closure staleness.
 const frameKillSwitch = createSynchronizable(false);
 
 export default function VisionCameraScreen() {
@@ -166,99 +101,18 @@ export default function VisionCameraScreen() {
   const [activeTask, setActiveTask] = useState<TaskId>('classification');
   const [activeModel, setActiveModel] = useState<ModelId>('classification');
   const [canvasSize, setCanvasSize] = useState({ width: 1, height: 1 });
-  const [cameraPosition, setCameraPosition] = useState<'back' | 'front'>(
+  const [cameraPosition, setCameraPosition] = useState<'front' | 'back'>(
     'back'
   );
-  const { setGlobalGenerating } = useContext(GeneratingContext);
-
-  const classification = useClassification({
-    model: EFFICIENTNET_V2_S,
-    preventLoad: activeModel !== 'classification',
-  });
-  const objectDetectionSsdlite = useObjectDetection({
-    model: SSDLITE_320_MOBILENET_V3_LARGE,
-    preventLoad: activeModel !== 'objectDetection_ssdlite',
-  });
-  const objectDetectionRfdetr = useObjectDetection({
-    model: RF_DETR_NANO,
-    preventLoad: activeModel !== 'objectDetection_rfdetr',
-  });
-
-  const activeObjectDetection =
-    {
-      objectDetection_ssdlite: objectDetectionSsdlite,
-      objectDetection_rfdetr: objectDetectionRfdetr,
-    }[activeModel as 'objectDetection_ssdlite' | 'objectDetection_rfdetr'] ??
-    null;
-  const segDeeplabResnet50 = useSemanticSegmentation({
-    model: DEEPLAB_V3_RESNET50_QUANTIZED,
-    preventLoad: activeModel !== 'segmentation_deeplab_resnet50',
-  });
-  const segDeeplabResnet101 = useSemanticSegmentation({
-    model: DEEPLAB_V3_RESNET101_QUANTIZED,
-    preventLoad: activeModel !== 'segmentation_deeplab_resnet101',
-  });
-  const segDeeplabMobilenet = useSemanticSegmentation({
-    model: DEEPLAB_V3_MOBILENET_V3_LARGE_QUANTIZED,
-    preventLoad: activeModel !== 'segmentation_deeplab_mobilenet',
-  });
-  const segLraspp = useSemanticSegmentation({
-    model: LRASPP_MOBILENET_V3_LARGE_QUANTIZED,
-    preventLoad: activeModel !== 'segmentation_lraspp',
-  });
-  const segFcnResnet50 = useSemanticSegmentation({
-    model: FCN_RESNET50_QUANTIZED,
-    preventLoad: activeModel !== 'segmentation_fcn_resnet50',
-  });
-  const segFcnResnet101 = useSemanticSegmentation({
-    model: FCN_RESNET101_QUANTIZED,
-    preventLoad: activeModel !== 'segmentation_fcn_resnet101',
-  });
-  const segSelfie = useSemanticSegmentation({
-    model: SELFIE_SEGMENTATION,
-    preventLoad: activeModel !== 'segmentation_selfie',
-  });
-  const instanceSegmentation = useInstanceSegmentation({
-    model: YOLO26N_SEG,
-    preventLoad: activeModel !== 'instanceSegmentation_yolo26n',
-  });
-
-  const activeSegmentation =
-    {
-      segmentation_deeplab_resnet50: segDeeplabResnet50,
-      segmentation_deeplab_resnet101: segDeeplabResnet101,
-      segmentation_deeplab_mobilenet: segDeeplabMobilenet,
-      segmentation_lraspp: segLraspp,
-      segmentation_fcn_resnet50: segFcnResnet50,
-      segmentation_fcn_resnet101: segFcnResnet101,
-      segmentation_selfie: segSelfie,
-    }[
-      activeModel as
-        | 'segmentation_deeplab_resnet50'
-        | 'segmentation_deeplab_resnet101'
-        | 'segmentation_deeplab_mobilenet'
-        | 'segmentation_lraspp'
-        | 'segmentation_fcn_resnet50'
-        | 'segmentation_fcn_resnet101'
-        | 'segmentation_selfie'
-    ] ?? null;
-
-  const activeIsGenerating =
-    activeModel === 'classification'
-      ? classification.isGenerating
-      : activeModel.startsWith('objectDetection')
-        ? (activeObjectDetection?.isGenerating ?? false)
-        : activeModel.startsWith('instanceSegmentation')
-          ? instanceSegmentation.isGenerating
-          : (activeSegmentation?.isGenerating ?? false);
-
-  useEffect(() => {
-    setGlobalGenerating(activeIsGenerating);
-  }, [activeIsGenerating, setGlobalGenerating]);
-
   const [fps, setFps] = useState(0);
   const [frameMs, setFrameMs] = useState(0);
-  const lastFrameTimeRef = useRef(Date.now());
+  const [isReady, setIsReady] = useState(false);
+  const [downloadProgress, setDownloadProgress] = useState(0);
+  const [frameOutput, setFrameOutput] = useState<ReturnType<
+    typeof useFrameOutput
+  > | null>(null);
+  const { setGlobalGenerating } = useContext(GeneratingContext);
+
   const isFocused = useIsFocused();
   const cameraPermission = useCameraPermission();
   const devices = useCameraDevices();
@@ -273,219 +127,25 @@ export default function VisionCameraScreen() {
     }
   }, [device]);
 
-  const [classResult, setClassResult] = useState({ label: '', score: 0 });
-  const [detections, setDetections] = useState<Detection[]>([]);
-  const [imageSize, setImageSize] = useState({ width: 1, height: 1 });
-  const [maskImage, setMaskImage] = useState<SkImage | null>(null);
-  const [segmentedInstances, setSegmentedInstances] = useState<
-    DisplayInstance[]
-  >([]);
-
-  const updateClass = useCallback((r: { label: string; score: number }) => {
-    setClassResult(r);
-    const now = Date.now();
-    const diff = now - lastFrameTimeRef.current;
-    if (diff > 0) {
-      setFps(Math.round(1000 / diff));
-      setFrameMs(diff);
-    }
-    lastFrameTimeRef.current = now;
-  }, []);
-
-  const updateFps = useCallback(() => {
-    const now = Date.now();
-    const diff = now - lastFrameTimeRef.current;
-    if (diff > 0) {
-      setFps(Math.round(1000 / diff));
-      setFrameMs(diff);
-    }
-    lastFrameTimeRef.current = now;
-  }, []);
-
-  const updateDetections = useCallback(
-    (p: { results: Detection[]; imageWidth: number; imageHeight: number }) => {
-      setDetections(p.results);
-      setImageSize({ width: p.imageWidth, height: p.imageHeight });
-      updateFps();
-    },
-    [updateFps]
-  );
-
-  const updateSegmentedInstances = useCallback(
-    (p: {
-      results: SegmentedInstance<any>[];
-      imageWidth: number;
-      imageHeight: number;
-    }) => {
-      const displayInstances = buildDisplayInstances(
-        p.results.map((inst) => ({
-          ...inst,
-          label: String(inst.label),
-        }))
-      );
-      setSegmentedInstances((prev) => {
-        // Dispose old mask images
-        prev.forEach((inst) => inst.maskImage.dispose());
-        return displayInstances;
-      });
-      setImageSize({ width: p.imageWidth, height: p.imageHeight });
-      updateFps();
-    },
-    [updateFps]
-  );
-
-  const updateMask = useCallback(
-    (img: SkImage) => {
-      setMaskImage((prev) => {
-        prev?.dispose();
-        return img;
-      });
-      updateFps();
-    },
-    [updateFps]
-  );
-
-  const classRof = classification.runOnFrame;
-  const detRof = activeObjectDetection?.runOnFrame ?? null;
-  const segRof = activeSegmentation?.runOnFrame ?? null;
-  const instSegRof = instanceSegmentation.runOnFrame;
-
   useEffect(() => {
     frameKillSwitch.setBlocking(true);
-    setMaskImage((prev) => {
-      prev?.dispose();
-      return null;
-    });
     const id = setTimeout(() => {
       frameKillSwitch.setBlocking(false);
     }, 300);
     return () => clearTimeout(id);
   }, [activeModel]);
 
-  const frameOutput = useFrameOutput({
-    pixelFormat: 'rgb',
-    dropFramesWhileBusy: true,
-    onFrame: useCallback(
-      (frame: Frame) => {
-        'worklet';
-
-        if (frameKillSwitch.getDirty()) {
-          frame.dispose();
-          return;
-        }
-
-        try {
-          if (activeModel === 'classification') {
-            if (!classRof) return;
-            const result = classRof(frame);
-            if (result) {
-              let bestLabel = '';
-              let bestScore = -1;
-              const entries = Object.entries(result);
-              for (let i = 0; i < entries.length; i++) {
-                const [label, score] = entries[i]!;
-                if ((score as number) > bestScore) {
-                  bestScore = score as number;
-                  bestLabel = label;
-                }
-              }
-              scheduleOnRN(updateClass, { label: bestLabel, score: bestScore });
-            }
-          } else if (activeModel.startsWith('objectDetection')) {
-            if (!detRof) return;
-            const iw = frame.width > frame.height ? frame.height : frame.width;
-            const ih = frame.width > frame.height ? frame.width : frame.height;
-            const result = detRof(frame, 0.5);
-            if (result) {
-              scheduleOnRN(updateDetections, {
-                results: result,
-                imageWidth: iw,
-                imageHeight: ih,
-              });
-            }
-          } else if (activeModel.startsWith('segmentation')) {
-            if (!segRof) return;
-            const result = segRof(frame, [], false);
-            if (result?.ARGMAX) {
-              const argmax: Int32Array = result.ARGMAX;
-              const side = Math.round(Math.sqrt(argmax.length));
-              const pixels = new Uint8Array(side * side * 4);
-              for (let i = 0; i < argmax.length; i++) {
-                const color = CLASS_COLORS[argmax[i]!] ?? [0, 0, 0, 0];
-                pixels[i * 4] = color[0]!;
-                pixels[i * 4 + 1] = color[1]!;
-                pixels[i * 4 + 2] = color[2]!;
-                pixels[i * 4 + 3] = color[3]!;
-              }
-              const skData = Skia.Data.fromBytes(pixels);
-              const img = Skia.Image.MakeImage(
-                {
-                  width: side,
-                  height: side,
-                  alphaType: AlphaType.Unpremul,
-                  colorType: ColorType.RGBA_8888,
-                },
-                skData,
-                side * 4
-              );
-              if (img) scheduleOnRN(updateMask, img);
-            }
-          } else if (activeModel.startsWith('instanceSegmentation')) {
-            if (!instSegRof) return;
-            const iw = frame.width > frame.height ? frame.height : frame.width;
-            const ih = frame.width > frame.height ? frame.width : frame.height;
-            const result = instSegRof(frame, {
-              confidenceThreshold: 0.5,
-              iouThreshold: 0.5,
-              maxInstances: 5,
-              returnMaskAtOriginalResolution: false,
-              inputSize: 384,
-            });
-            if (result) {
-              scheduleOnRN(updateSegmentedInstances, {
-                results: result,
-                imageWidth: iw,
-                imageHeight: ih,
-              });
-            }
-          }
-        } catch {
-          // ignore
-        } finally {
-          frame.dispose();
-        }
-      },
-      [
-        activeModel,
-        classRof,
-        detRof,
-        segRof,
-        instSegRof,
-        updateClass,
-        updateDetections,
-        updateSegmentedInstances,
-        updateMask,
-      ]
-    ),
-  });
-
-  const activeIsReady =
-    activeModel === 'classification'
-      ? classification.isReady
-      : activeModel.startsWith('objectDetection')
-        ? (activeObjectDetection?.isReady ?? false)
-        : activeModel.startsWith('instanceSegmentation')
-          ? instanceSegmentation.isReady
-          : (activeSegmentation?.isReady ?? false);
+  const handleFpsChange = useCallback((newFps: number, newMs: number) => {
+    setFps(newFps);
+    setFrameMs(newMs);
+  }, []);
 
-  const activeDownloadProgress =
-    activeModel === 'classification'
-      ? classification.downloadProgress
-      : activeModel.startsWith('objectDetection')
-        ? (activeObjectDetection?.downloadProgress ?? 0)
-        : activeModel.startsWith('instanceSegmentation')
-          ? instanceSegmentation.downloadProgress
-          : (activeSegmentation?.downloadProgress ?? 0);
+  const handleGeneratingChange = useCallback(
+    (generating: boolean) => {
+      setGlobalGenerating(generating);
+    },
+    [setGlobalGenerating]
+  );
 
   if (!cameraPermission.hasPermission) {
     return (
@@ -509,26 +169,23 @@ export default function VisionCameraScreen() {
     );
   }
 
-  function coverFit(imgW: number, imgH: number) {
-    const scale = Math.max(canvasSize.width / imgW, canvasSize.height / imgH);
-    return {
-      scale,
-      offsetX: (canvasSize.width - imgW * scale) / 2,
-      offsetY: (canvasSize.height - imgH * scale) / 2,
-    };
-  }
-
-  const {
-    scale: detScale,
-    offsetX: detOX,
-    offsetY: detOY,
-  } = coverFit(imageSize.width, imageSize.height);
-
   const activeTaskInfo = TASKS.find((t) => t.id === activeTask)!;
   const activeVariantLabel =
     activeTaskInfo.variants.find((v) => v.id === activeModel)?.label ??
     activeTaskInfo.variants[0]!.label;
 
+  const taskProps = {
+    activeModel,
+    canvasSize,
+    cameraPosition,
+    frameKillSwitch,
+    onFrameOutputChange: setFrameOutput,
+    onReadyChange: setIsReady,
+    onProgressChange: setDownloadProgress,
+    onGeneratingChange: handleGeneratingChange,
+    onFpsChange: handleFpsChange,
+  };
+
   return (
     <View style={styles.container}>
       <StatusBar barStyle="light-content" translucent />
@@ -536,17 +193,15 @@ export default function VisionCameraScreen() {
       <Camera
         style={StyleSheet.absoluteFill}
         device={device}
-        outputs={[frameOutput]}
+        outputs={frameOutput ? [frameOutput] : []}
         isActive={isFocused}
         format={format}
         orientationSource="interface"
       />
 
+      {/* Layout sentinel — measures the full-screen area for bbox/canvas sizing */}
       <View
-        style={[
-          StyleSheet.absoluteFill,
-          cameraPosition === 'front' && { transform: [{ scaleX: -1 }] },
-        ]}
+        style={StyleSheet.absoluteFill}
         pointerEvents="none"
         onLayout={(e) =>
           setCanvasSize({
@@ -554,137 +209,48 @@ export default function VisionCameraScreen() {
             height: e.nativeEvent.layout.height,
           })
         }
-      >
-        {activeModel.startsWith('segmentation') && maskImage && (
-          <Canvas style={StyleSheet.absoluteFill}>
-            <SkiaImage
-              image={maskImage}
-              fit="cover"
-              x={0}
-              y={0}
-              width={canvasSize.width}
-              height={canvasSize.height}
-            />
-          </Canvas>
-        )}
-
-        {activeModel.startsWith('objectDetection') && (
-          <>
-            {detections.map((det, i) => {
-              const left = det.bbox.x1 * detScale + detOX;
-              const top = det.bbox.y1 * detScale + detOY;
-              const w = (det.bbox.x2 - det.bbox.x1) * detScale;
-              const h = (det.bbox.y2 - det.bbox.y1) * detScale;
-              return (
-                <View
-                  key={i}
-                  style={[
-                    styles.bbox,
-                    {
-                      left,
-                      top,
-                      width: w,
-                      height: h,
-                      borderColor: labelColor(det.label),
-                    },
-                  ]}
-                >
-                  <View
-                    style={[
-                      styles.bboxLabel,
-                      { backgroundColor: labelColorBg(det.label) },
-                      cameraPosition === 'front' && {
-                        transform: [{ scaleX: -1 }],
-                      },
-                    ]}
-                  >
-                    <Text style={styles.bboxLabelText}>
-                      {det.label} {(det.score * 100).toFixed(1)}
-                    </Text>
-                  </View>
-                </View>
-              );
-            })}
-          </>
-        )}
-
-        {activeModel.startsWith('instanceSegmentation') && (
-          <>
-            {/* Render masks */}
-            <Canvas style={StyleSheet.absoluteFill} pointerEvents="none">
-              {segmentedInstances.map((inst, i) => {
-                const x = inst.bbox.x1 * detScale + detOX;
-                const y = inst.bbox.y1 * detScale + detOY;
-                const w = (inst.bbox.x2 - inst.bbox.x1) * detScale;
-                const h = (inst.bbox.y2 - inst.bbox.y1) * detScale;
-                return (
-                  <SkiaImage
-                    key={`mask-${i}`}
-                    image={inst.maskImage}
-                    x={x}
-                    y={y}
-                    width={w}
-                    height={h}
-                    fit="fill"
-                  />
-                );
-              })}
-            </Canvas>
-            {/* Render bounding boxes */}
-            {segmentedInstances.map((inst, i) => {
-              const left = inst.bbox.x1 * detScale + detOX;
-              const top = inst.bbox.y1 * detScale + detOY;
-              const w = (inst.bbox.x2 - inst.bbox.x1) * detScale;
-              const h = (inst.bbox.y2 - inst.bbox.y1) * detScale;
-              const label = String(inst.label);
-              return (
-                <View
-                  key={i}
-                  style={[
-                    styles.bbox,
-                    {
-                      left,
-                      top,
-                      width: w,
-                      height: h,
-                      borderColor: labelColor(label),
-                    },
-                  ]}
-                >
-                  <View
-                    style={[
-                      styles.bboxLabel,
-                      { backgroundColor: labelColorBg(label) },
-                      cameraPosition === 'front' && {
-                        transform: [{ scaleX: -1 }],
-                      },
-                    ]}
-                  >
-                    <Text style={styles.bboxLabelText}>
-                      {label} {(inst.score * 100).toFixed(1)}
-                    </Text>
-                  </View>
-                </View>
-              );
-            })}
-          </>
-        )}
-      </View>
+      />
 
-      {activeModel === 'classification' && classResult.label ? (
-        <View style={styles.classResultOverlay} pointerEvents="none">
-          <Text style={styles.classResultLabel}>{classResult.label}</Text>
-          <Text style={styles.classResultScore}>
-            {(classResult.score * 100).toFixed(1)}%
-          </Text>
-        </View>
-      ) : null}
+      {activeTask === 'classification' && <ClassificationTask {...taskProps} />}
+      {activeTask === 'objectDetection' && (
+        <ObjectDetectionTask
+          {...taskProps}
+          activeModel={
+            activeModel as 'objectDetection_ssdlite' | 'objectDetection_rfdetr'
+          }
+        />
+      )}
+      {activeTask === 'segmentation' && (
+        <SegmentationTask
+          {...taskProps}
+          activeModel={
+            activeModel as
+              | 'segmentation_deeplab_resnet50'
+              | 'segmentation_deeplab_resnet101'
+              | 'segmentation_deeplab_mobilenet'
+              | 'segmentation_lraspp'
+              | 'segmentation_fcn_resnet50'
+              | 'segmentation_fcn_resnet101'
+              | 'segmentation_selfie'
+          }
+        />
+      )}
+      {activeTask === 'instanceSegmentation' && (
+        <InstanceSegmentationTask
+          {...taskProps}
+          activeModel={
+            activeModel as
+              | 'instanceSegmentation_yolo26n'
+              | 'instanceSegmentation_rfdetr'
+          }
+        />
+      )}
 
-      {!activeIsReady && (
+      {!isReady && (
         <View style={styles.loadingOverlay}>
           <Spinner
             visible
-            textContent={`Loading ${activeTaskInfo.label} ${(activeDownloadProgress * 100).toFixed(0)}%`}
+            textContent={`Loading ${activeTaskInfo.label} ${(downloadProgress * 100).toFixed(0)}%`}
           />
         </View>
       )}
@@ -764,7 +330,6 @@ export default function VisionCameraScreen() {
           }
         >
           <Svg width={28} height={28} viewBox="0 0 24 24" fill="none">
-            {/* Camera body */}
             <Path
               d="M23 19a2 2 0 0 1-2 2H3a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h4l2-3h6l2 3h4a2 2 0 0 1 2 2z"
               stroke="white"
@@ -772,7 +337,6 @@ export default function VisionCameraScreen() {
               strokeLinecap="round"
               strokeLinejoin="round"
             />
-            {/* Rotate arrows — arc with arrowhead around the lens */}
             <Path
               d="M9 13.5a3 3 0 1 0 3-3"
               stroke="white"
@@ -810,7 +374,6 @@ const styles = StyleSheet.create({
     justifyContent: 'center',
     alignItems: 'center',
   },
-
   topOverlay: {
     position: 'absolute',
     top: 0,
@@ -840,7 +403,6 @@ const styles = StyleSheet.create({
     textShadowOffset: { width: 0, height: 1 },
     textShadowRadius: 4,
   },
-
   tabsContent: {
     paddingHorizontal: 12,
     gap: 6,
@@ -863,7 +425,6 @@ const styles = StyleSheet.create({
     fontWeight: '600',
   },
   tabTextActive: { color: 'white' },
-
   chipsContent: {
     paddingHorizontal: 12,
     gap: 6,
@@ -886,47 +447,6 @@ const styles = StyleSheet.create({
     fontWeight: '500',
   },
   variantChipTextActive: { color: 'white' },
-
-  bbox: {
-    position: 'absolute',
-    borderWidth: 2,
-    borderColor: 'cyan',
-    borderRadius: 4,
-  },
-  bboxLabel: {
-    position: 'absolute',
-    top: -22,
-    left: -2,
-    paddingHorizontal: 6,
-    paddingVertical: 2,
-    borderRadius: 4,
-  },
-  bboxLabelText: { color: 'white', fontSize: 11, fontWeight: '600' },
-
-  classResultOverlay: {
-    ...StyleSheet.absoluteFillObject,
-    justifyContent: 'center',
-    alignItems: 'center',
-  },
-  classResultLabel: {
-    color: 'white',
-    fontSize: 28,
-    fontWeight: '700',
-    textAlign: 'center',
-    textShadowColor: 'rgba(0,0,0,0.8)',
-    textShadowOffset: { width: 0, height: 1 },
-    textShadowRadius: 6,
-    paddingHorizontal: 24,
-  },
-  classResultScore: {
-    color: 'rgba(255,255,255,0.75)',
-    fontSize: 18,
-    fontWeight: '500',
-    marginTop: 4,
-    textShadowColor: 'rgba(0,0,0,0.8)',
-    textShadowOffset: { width: 0, height: 1 },
-    textShadowRadius: 6,
-  },
   bottomOverlay: {
     position: 'absolute',
     bottom: 0,
diff --git a/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx b/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx
new file mode 100644
index 0000000000..33897aa2d3
--- /dev/null
+++ b/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx
@@ -0,0 +1,241 @@
+import React, { useCallback, useEffect, useRef, useState } from 'react';
+import { StyleSheet, Text, View } from 'react-native';
+import { Frame, useFrameOutput } from 'react-native-vision-camera';
+import { scheduleOnRN } from 'react-native-worklets';
+import {
+  SegmentedInstance,
+  YOLO26N_SEG,
+  RF_DETR_SEG,
+  useInstanceSegmentation,
+} from 'react-native-executorch';
+import { Canvas, Image as SkiaImage } from '@shopify/react-native-skia';
+import { labelColor, labelColorBg } from '../utils/colors';
+import { TaskProps } from './types';
+import {
+  buildDisplayInstances,
+  DisplayInstance,
+} from '../../../components/ImageWithMasks';
+
+type InstSegModelId =
+  | 'instanceSegmentation_yolo26n'
+  | 'instanceSegmentation_rfdetr';
+
+type Props = TaskProps & { activeModel: InstSegModelId };
+
+export default function InstanceSegmentationTask({
+  activeModel,
+  canvasSize,
+  cameraPosition,
+  frameKillSwitch,
+  onFrameOutputChange,
+  onReadyChange,
+  onProgressChange,
+  onGeneratingChange,
+  onFpsChange,
+}: Props) {
+  const yolo26n = useInstanceSegmentation({
+    model: YOLO26N_SEG,
+    preventLoad: activeModel !== 'instanceSegmentation_yolo26n',
+  });
+  const rfdetr = useInstanceSegmentation({
+    model: RF_DETR_SEG,
+    preventLoad: activeModel !== 'instanceSegmentation_rfdetr',
+  });
+
+  const active =
+    activeModel === 'instanceSegmentation_yolo26n' ? yolo26n : rfdetr;
+
+  const [instances, setInstances] = useState<DisplayInstance[]>([]);
+  const [imageSize, setImageSize] = useState({ width: 1, height: 1 });
+  const lastFrameTimeRef = useRef(Date.now());
+
+  useEffect(() => {
+    onReadyChange(active.isReady);
+  }, [active.isReady, onReadyChange]);
+
+  useEffect(() => {
+    onProgressChange(active.downloadProgress);
+  }, [active.downloadProgress, onProgressChange]);
+
+  useEffect(() => {
+    onGeneratingChange(active.isGenerating);
+  }, [active.isGenerating, onGeneratingChange]);
+
+  const instSegRof = active.runOnFrame;
+
+  const updateInstances = useCallback(
+    (p: {
+      results: SegmentedInstance<any>[];
+      imageWidth: number;
+      imageHeight: number;
+    }) => {
+      console.log(`[${activeModel}] Got ${p.results.length} instances`);
+      if (p.results.length > 0) {
+        const first = p.results[0];
+        console.log(`[${activeModel}] First instance:`, {
+          label: first.label,
+          score: first.score,
+          bbox: first.bbox,
+          maskWidth: first.maskWidth,
+          maskHeight: first.maskHeight,
+          maskSize: first.mask.length,
+        });
+      }
+      const displayInstances = buildDisplayInstances(
+        p.results.map((inst) => ({
+          ...inst,
+          label: String(inst.label),
+        }))
+      );
+      console.log(
+        `[${activeModel}] Built ${displayInstances.length} display instances`
+      );
+      setInstances((prev) => {
+        // Dispose old mask images
+        prev.forEach((inst) => inst.maskImage.dispose());
+        return displayInstances;
+      });
+      setImageSize({ width: p.imageWidth, height: p.imageHeight });
+      const now = Date.now();
+      const diff = now - lastFrameTimeRef.current;
+      if (diff > 0) onFpsChange(Math.round(1000 / diff), diff);
+      lastFrameTimeRef.current = now;
+    },
+    [onFpsChange, activeModel]
+  );
+
+  const frameOutput = useFrameOutput({
+    pixelFormat: 'rgb',
+    dropFramesWhileBusy: true,
+    onFrame: useCallback(
+      (frame: Frame) => {
+        'worklet';
+        if (frameKillSwitch.getDirty()) {
+          frame.dispose();
+          return;
+        }
+        try {
+          if (!instSegRof) return;
+          const iw = frame.width > frame.height ? frame.height : frame.width;
+          const ih = frame.width > frame.height ? frame.width : frame.height;
+          const result = instSegRof(frame, {
+            confidenceThreshold: 0.5,
+            iouThreshold: 0.5,
+            maxInstances: 5,
+            returnMaskAtOriginalResolution: false,
+            ...(activeModel === 'instanceSegmentation_yolo26n' && {
+              inputSize: 384,
+            }),
+          });
+          if (result) {
+            scheduleOnRN(updateInstances, {
+              results: result,
+              imageWidth: iw,
+              imageHeight: ih,
+            });
+          }
+        } catch {
+          // ignore
+        } finally {
+          frame.dispose();
+        }
+      },
+      [instSegRof, frameKillSwitch, updateInstances]
+    ),
+  });
+
+  useEffect(() => {
+    onFrameOutputChange(frameOutput);
+  }, [frameOutput, onFrameOutputChange]);
+
+  const scale = Math.max(
+    canvasSize.width / imageSize.width,
+    canvasSize.height / imageSize.height
+  );
+  const offsetX = (canvasSize.width - imageSize.width * scale) / 2;
+  const offsetY = (canvasSize.height - imageSize.height * scale) / 2;
+
+  return (
+    <View
+      style={[
+        StyleSheet.absoluteFill,
+        cameraPosition === 'front' && { transform: [{ scaleX: -1 }] },
+      ]}
+      pointerEvents="none"
+    >
+      {/* Render masks */}
+      <Canvas style={StyleSheet.absoluteFill} pointerEvents="none">
+        {instances.map((inst, i) => {
+          const x = inst.bbox.x1 * scale + offsetX;
+          const y = inst.bbox.y1 * scale + offsetY;
+          const w = (inst.bbox.x2 - inst.bbox.x1) * scale;
+          const h = (inst.bbox.y2 - inst.bbox.y1) * scale;
+          return (
+            <SkiaImage
+              key={`mask-${i}`}
+              image={inst.maskImage}
+              x={x}
+              y={y}
+              width={w}
+              height={h}
+              fit="fill"
+            />
+          );
+        })}
+      </Canvas>
+      {/* Render bounding boxes */}
+      {instances.map((inst, i) => {
+        const left = inst.bbox.x1 * scale + offsetX;
+        const top = inst.bbox.y1 * scale + offsetY;
+        const w = (inst.bbox.x2 - inst.bbox.x1) * scale;
+        const h = (inst.bbox.y2 - inst.bbox.y1) * scale;
+        const label = String(inst.label);
+        return (
+          <View
+            key={i}
+            style={[
+              styles.bbox,
+              {
+                left,
+                top,
+                width: w,
+                height: h,
+                borderColor: labelColor(label),
+              },
+            ]}
+          >
+            <View
+              style={[
+                styles.bboxLabel,
+                { backgroundColor: labelColorBg(label) },
+                cameraPosition === 'front' && { transform: [{ scaleX: -1 }] },
+              ]}
+            >
+              <Text style={styles.bboxLabelText}>
+                {label} {(inst.score * 100).toFixed(1)}
+              </Text>
+            </View>
+          </View>
+        );
+      })}
+    </View>
+  );
+}
+
+const styles = StyleSheet.create({
+  bbox: {
+    position: 'absolute',
+    borderWidth: 2,
+    borderColor: 'cyan',
+    borderRadius: 4,
+  },
+  bboxLabel: {
+    position: 'absolute',
+    top: -22,
+    left: -2,
+    paddingHorizontal: 6,
+    paddingVertical: 2,
+    borderRadius: 4,
+  },
+  bboxLabelText: { color: 'white', fontSize: 11, fontWeight: '600' },
+});
diff --git a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
index 8a60941fb4..a66d43c0d3 100644
--- a/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
+++ b/packages/react-native-executorch/src/hooks/computer_vision/useInstanceSegmentation.ts
@@ -58,6 +58,7 @@ export const useInstanceSegmentation = <
     factory: (config, onProgress) =>
       InstanceSegmentationModule.fromModelName(config, onProgress),
     config: model,
+    deps: [model.modelName, model.modelSource],
     preventLoad,
   });
 

From 94e1bd749b93c62dd8757f47925fffa7e0258de1 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Fri, 13 Mar 2026 19:05:19 +0100
Subject: [PATCH 37/56] Fix normalizing in InstanceSegmentation

---
 .../BaseInstanceSegmentation.cpp              | 24 +++++--------------
 .../BaseInstanceSegmentation.h                |  1 -
 2 files changed, 6 insertions(+), 19 deletions(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index 48e74de7bd..ee92018348 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -30,22 +30,6 @@ BaseInstanceSegmentation::BaseInstanceSegmentation(
   }
 }
 
-cv::Mat BaseInstanceSegmentation::preprocess(const cv::Mat &image) const {
-  cv::Mat resized = VisionModel::preprocess(image);
-
-  if (!normMean_.has_value() && !normStd_.has_value()) {
-    return resized;
-  }
-
-  cv::Mat normalized;
-  resized.convertTo(normalized, CV_32FC3);
-  cv::Scalar mean = normMean_.value_or(cv::Scalar(0, 0, 0));
-  cv::Scalar std = normStd_.value_or(cv::Scalar(1, 1, 1));
-  normalized = (normalized - mean) / std;
-
-  return normalized;
-}
-
 cv::Size BaseInstanceSegmentation::modelInputSize() const {
   if (currentlyLoadedMethod_.empty()) {
     return VisionModel::modelInputSize();
@@ -75,8 +59,12 @@ std::vector<types::Instance> BaseInstanceSegmentation::runInference(
 
   cv::Mat preprocessed = preprocess(image);
 
-  auto inputTensor =
-      image_processing::getTensorFromMatrix(modelInputShape_, preprocessed);
+  auto inputTensor = (normMean_.has_value() && normStd_.has_value())
+                         ? image_processing::getTensorFromMatrix(
+                               modelInputShape_, preprocessed,
+                               normMean_.value(), normStd_.value())
+                         : image_processing::getTensorFromMatrix(
+                               modelInputShape_, preprocessed);
 
   auto forwardResult = BaseModel::execute(methodName, {inputTensor});
   if (!forwardResult.ok()) {
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index dfddb2673e..75170ad3b4 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -45,7 +45,6 @@ class BaseInstanceSegmentation : public VisionModel {
                      std::string methodName);
 
 protected:
-  cv::Mat preprocess(const cv::Mat &image) const override;
   cv::Size modelInputSize() const override;
 
 private:

From 2e9ce55c30e2ccfb8f00a421ebdb8af2e15fc243 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Fri, 13 Mar 2026 19:25:53 +0100
Subject: [PATCH 38/56] Add missing brackets

---
 .../BaseInstanceSegmentation.cpp                | 17 +++++++++++------
 1 file changed, 11 insertions(+), 6 deletions(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index ee92018348..af1c598df2 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -2,6 +2,7 @@
 
 #include <cmath>
 #include <cstdint>
+#include <iostream>
 #include <rnexecutorch/Error.h>
 #include <rnexecutorch/ErrorCodes.h>
 #include <rnexecutorch/Log.h>
@@ -283,8 +284,8 @@ std::vector<types::Instance> BaseInstanceSegmentation::finalizeInstances(
     instances.resize(maxInstances);
   }
 
-  for (int32_t i = 0; i < instances.size(); ++i) {
-    instances[i].instanceId = static_cast<int32_t>(i);
+  for (int32_t i = 0; std::cmp_less(i, instances.size()); ++i) {
+    instances[i].instanceId = i;
   }
 
   return instances;
@@ -320,10 +321,12 @@ std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
 
   auto isValidDetection =
       [&allowedClasses, &confidenceThreshold](float score, int32_t labelIdx) {
-        if (score < confidenceThreshold)
+        if (score < confidenceThreshold) {
           return false;
-        if (!allowedClasses.empty() && allowedClasses.count(labelIdx) == 0)
+        }
+        if (!allowedClasses.empty() && allowedClasses.count(labelIdx) == 0) {
           return false;
+        }
         return true;
       };
 
@@ -333,13 +336,15 @@ std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
     auto [bboxModel, score, labelIdx] =
         extractDetectionData(bboxData, scoresData, i);
 
-    if (!isValidDetection(score, labelIdx))
+    if (!isValidDetection(score, labelIdx)) {
       continue;
+    }
 
     utils::computer_vision::BBox bboxOriginal =
         bboxModel.scale(widthRatio, heightRatio);
-    if (!bboxOriginal.isValid())
+    if (!bboxOriginal.isValid()) {
       continue;
+    }
 
     cv::Mat logitsMat(maskH, maskW, CV_32FC1,
                       const_cast<float *>(maskData + (i * maskH * maskW)));

From 7b6d6f18810051ff001be48ea52cd9f32efd5445 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Sun, 15 Mar 2026 21:59:19 +0100
Subject: [PATCH 39/56] Strengthen typing

---
 .../vision_camera/tasks/InstanceSegmentationTask.tsx      | 8 ++++++--
 .../modules/computer_vision/InstanceSegmentationModule.ts | 6 +++++-
 2 files changed, 11 insertions(+), 3 deletions(-)

diff --git a/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx b/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx
index 33897aa2d3..6c7f5a0a39 100644
--- a/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx
+++ b/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx
@@ -7,6 +7,8 @@ import {
   YOLO26N_SEG,
   RF_DETR_SEG,
   useInstanceSegmentation,
+  CocoLabel,
+  CocoLabelYolo,
 } from 'react-native-executorch';
 import { Canvas, Image as SkiaImage } from '@shopify/react-native-skia';
 import { labelColor, labelColorBg } from '../utils/colors';
@@ -65,7 +67,9 @@ export default function InstanceSegmentationTask({
 
   const updateInstances = useCallback(
     (p: {
-      results: SegmentedInstance<any>[];
+      results:
+        | SegmentedInstance<typeof CocoLabel>[]
+        | SegmentedInstance<typeof CocoLabelYolo>[];
       imageWidth: number;
       imageHeight: number;
     }) => {
@@ -140,7 +144,7 @@ export default function InstanceSegmentationTask({
           frame.dispose();
         }
       },
-      [instSegRof, frameKillSwitch, updateInstances]
+      [instSegRof, frameKillSwitch, updateInstances, activeModel]
     ),
   });
 
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index e9588d3849..a8acda0426 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -74,7 +74,11 @@ const ModelConfigs = {
   'yolo26l-seg': YOLO_SEG_CONFIG,
   'yolo26x-seg': YOLO_SEG_CONFIG,
   'rfdetr-seg': RF_DETR_SEG_CONFIG,
-} as const;
+} as const satisfies Record<
+  InstanceSegmentationModelName,
+  | InstanceSegmentationConfig<typeof CocoLabel>
+  | InstanceSegmentationConfig<typeof CocoLabelYolo>
+>;
 
 /** @internal */
 type ModelConfigsType = typeof ModelConfigs;

From d8e479588c5600b5324149833401aa1121bf5792 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 16 Mar 2026 09:41:59 +0100
Subject: [PATCH 40/56] Remove instanceId field

---
 .../useInstanceSegmentation.md                  | 17 +++++------------
 .../rnexecutorch/host_objects/JsiConversions.h  |  1 -
 .../BaseInstanceSegmentation.cpp                |  6 +-----
 .../models/instance_segmentation/Types.h        |  8 +++-----
 .../integration/InstanceSegmentationTest.cpp    | 13 -------------
 .../InstanceSegmentationModule.ts               |  4 +---
 .../src/types/instanceSegmentation.ts           |  3 ---
 7 files changed, 10 insertions(+), 42 deletions(-)

diff --git a/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md b/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
index 336cf6480c..d111cd6a58 100644
--- a/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
+++ b/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
@@ -15,13 +15,10 @@ It is recommended to use models provided by us, which are available at our [Hugg
 ## High Level Overview
 
 ```typescript
-import { useInstanceSegmentation } from 'react-native-executorch';
+import { useInstanceSegmentation, YOLO26N_SEG } from 'react-native-executorch';
 
 const model = useInstanceSegmentation({
-  model: {
-    modelName: 'yolo26n-seg',
-    modelSource: 'https://huggingface.co/.../yolo26n-seg.pte',
-  },
+  model: YOLO26N_SEG,
 });
 
 const imageUri = 'file:///Users/.../photo.jpg';
@@ -39,7 +36,7 @@ try {
 `useInstanceSegmentation` takes [`InstanceSegmentationProps`](../../06-api-reference/interfaces/InstanceSegmentationProps.md) that consists of:
 
 - `model` - An object containing:
-  - `modelName` - The name of a built-in model. See [`InstanceSegmentationModelSources`](../../06-api-reference/interfaces/InstanceSegmentationProps.md) for the list of supported models.
+  - `modelName` - The name of a built-in model. See [`InstanceSegmentationModelName`](../../06-api-reference/types/InstanceSegmentationModelName.md) for the list of supported models.
   - `modelSource` - The location of the model binary (a URL or a bundled resource).
 - An optional flag [`preventLoad`](../../06-api-reference/interfaces/InstanceSegmentationProps.md#preventload) which prevents auto-loading of the model.
 
@@ -78,19 +75,15 @@ To run the model, use the [`forward`](../../06-api-reference/interfaces/Instance
 - `mask` - A `Uint8Array` binary mask (0 or 1) representing the instance's segmentation.
 - `maskWidth` - Width of the mask array.
 - `maskHeight` - Height of the mask array.
-- `instanceId` - Unique identifier for this instance.
 
 ## Example
 
 ```typescript
-import { useInstanceSegmentation } from 'react-native-executorch';
+import { useInstanceSegmentation, YOLO26N_SEG } from 'react-native-executorch';
 
 function App() {
   const model = useInstanceSegmentation({
-    model: {
-      modelName: 'yolo26n-seg',
-      modelSource: 'https://huggingface.co/.../yolo26n-seg.pte',
-    },
+    model: YOLO26N_SEG,
   });
 
   const handleSegment = async () => {
diff --git a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
index f4c1295f2a..5c66765b6d 100644
--- a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
+++ b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
@@ -487,7 +487,6 @@ getJsiValue(const std::vector<models::instance_segmentation::types::Instance>
     instance.setProperty(runtime, "classIndex", instances[i].classIndex);
 
     instance.setProperty(runtime, "score", instances[i].score);
-    instance.setProperty(runtime, "instanceId", instances[i].instanceId);
 
     array.setValueAtIndex(runtime, i, instance);
   }
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index af1c598df2..6e904cb96d 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -284,10 +284,6 @@ std::vector<types::Instance> BaseInstanceSegmentation::finalizeInstances(
     instances.resize(maxInstances);
   }
 
-  for (int32_t i = 0; std::cmp_less(i, instances.size()); ++i) {
-    instances[i].instanceId = i;
-  }
-
   return instances;
 }
 
@@ -357,7 +353,7 @@ std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
         bboxOriginal,
         std::vector<uint8_t>(binaryMask.data,
                              binaryMask.data + binaryMask.total()),
-        binaryMask.cols, binaryMask.rows, labelIdx, score, i);
+        binaryMask.cols, binaryMask.rows, labelIdx, score);
   }
 
   return finalizeInstances(std::move(instances), iouThreshold, maxInstances);
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
index 87dbb95824..c3685338d3 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
@@ -10,7 +10,7 @@ namespace rnexecutorch::models::instance_segmentation::types {
  * Represents a single detected instance in instance segmentation output.
  *
  * Contains bounding box coordinates, binary segmentation mask, class label,
- * confidence score, and a unique instance identifier.
+ * and confidence score.
  */
 struct Instance {
   utils::computer_vision::BBox bbox; ///< Bounding box coordinates
@@ -19,15 +19,13 @@ struct Instance {
   int32_t maskHeight;                ///< Height of the mask array
   int32_t classIndex;                ///< Model output class index
   float score;                       ///< Confidence score [0, 1]
-  int32_t instanceId;                ///< Unique identifier for this instance
 
   Instance() = default;
   Instance(utils::computer_vision::BBox bbox, std::vector<uint8_t> mask,
            int32_t maskWidth, int32_t maskHeight, int32_t classIndex,
-           float score, int32_t instanceId)
+           float score)
       : bbox(bbox), mask(std::move(mask)), maskWidth(maskWidth),
-        maskHeight(maskHeight), classIndex(classIndex), score(score),
-        instanceId(instanceId) {}
+        maskHeight(maskHeight), classIndex(classIndex), score(score) {}
 };
 
 } // namespace rnexecutorch::models::instance_segmentation::types
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp b/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
index 9d7bfa9be2..89a64bb3ca 100644
--- a/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
@@ -170,19 +170,6 @@ TEST(InstanceSegResultTests, InstancesHaveValidMasks) {
   }
 }
 
-TEST(InstanceSegResultTests, InstancesHaveUniqueIds) {
-  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
-                                 nullptr);
-  auto results =
-      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
-
-  std::set<int> ids;
-  for (const auto &inst : results) {
-    EXPECT_TRUE(ids.insert(inst.instanceId).second)
-        << "Duplicate instanceId: " << inst.instanceId;
-  }
-}
-
 TEST(InstanceSegResultTests, InstancesHaveValidClassIndices) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index a8acda0426..b47d9bc8cd 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -343,7 +343,6 @@ export class InstanceSegmentationModule<
         label: (labelLookup[inst.classIndex - labelEnumOffset] ??
           String(inst.classIndex)) as keyof ResolveLabels<T>,
         score: inst.score,
-        instanceId: inst.instanceId,
       }));
     };
   }
@@ -357,7 +356,7 @@ export class InstanceSegmentationModule<
    *
    * @param input - Image source (string path or PixelData object)
    * @param options - Optional configuration for the segmentation process. Includes `confidenceThreshold`, `iouThreshold`, `maxInstances`, `classesOfInterest`, `returnMaskAtOriginalResolution`, and `inputSize`.
-   * @returns A Promise resolving to an array of {@link SegmentedInstance} objects with `bbox`, `mask`, `maskWidth`, `maskHeight`, `label`, `score`, and `instanceId`.
+   * @returns A Promise resolving to an array of {@link SegmentedInstance} objects with `bbox`, `mask`, `maskWidth`, `maskHeight`, `label`, `score`.
    * @throws {RnExecutorchError} If the model is not loaded or if an invalid `inputSize` is provided.
    *
    * @example
@@ -455,7 +454,6 @@ export class InstanceSegmentationModule<
         inst.classIndex - this.labelEnumOffset
       ) ?? String(inst.classIndex)) as keyof ResolveLabels<T>,
       score: inst.score,
-      instanceId: inst.instanceId,
     }));
   }
 }
diff --git a/packages/react-native-executorch/src/types/instanceSegmentation.ts b/packages/react-native-executorch/src/types/instanceSegmentation.ts
index 5e972060ff..be3e03891b 100644
--- a/packages/react-native-executorch/src/types/instanceSegmentation.ts
+++ b/packages/react-native-executorch/src/types/instanceSegmentation.ts
@@ -15,7 +15,6 @@ export interface NativeSegmentedInstance {
   maskHeight: number;
   classIndex: number;
   score: number;
-  instanceId: number;
 }
 
 /**
@@ -29,7 +28,6 @@ export interface NativeSegmentedInstance {
  * @property {number} maskHeight - Height of the mask array.
  * @property {keyof L} label - The class label of the instance.
  * @property {number} score - Confidence score [0, 1].
- * @property {number} instanceId - Unique identifier for this instance.
  */
 export interface SegmentedInstance<L extends LabelEnum> {
   bbox: Bbox;
@@ -38,7 +36,6 @@ export interface SegmentedInstance<L extends LabelEnum> {
   maskHeight: number;
   label: keyof L;
   score: number;
-  instanceId: number;
 }
 
 /**

From 98a83438e9fa83417fc3dab758f7ecaab21185ea Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 16 Mar 2026 13:15:25 +0100
Subject: [PATCH 41/56] Apply review suggestions

---
 .../InstanceSegmentationModule.md             |  8 +++-
 .../data_processing/ImageProcessing.cpp       |  8 ++++
 .../data_processing/ImageProcessing.h         |  6 +++
 .../BaseInstanceSegmentation.cpp              | 41 +++++++++++++------
 .../BaseInstanceSegmentation.h                |  2 -
 5 files changed, 49 insertions(+), 16 deletions(-)

diff --git a/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md b/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md
index bc0d45919b..2d70c2c77c 100644
--- a/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md
+++ b/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md
@@ -60,9 +60,15 @@ Use [`fromCustomConfig`](../../06-api-reference/classes/InstanceSegmentationModu
   - `postprocessorConfig` (optional) - Postprocessing settings (`applyNMS`).
   - `defaultConfidenceThreshold` (optional) - Default confidence threshold.
   - `defaultIouThreshold` (optional) - Default IoU threshold.
-  - `availableInputSizes` and `defaultInputSize` (optional) - Supported input sizes and the default.
+  - `availableInputSizes` and `defaultInputSize` - **Required** if your model supports multiple input sizes (i.e., exports multiple forward methods like `forward_384`, `forward_512`, `forward_640`). Both must be specified together or omitted together.
 - `onDownloadProgress` (optional) - Callback to track download progress.
 
+:::tip
+If your model supports **multiple input sizes**, you must specify both `availableInputSizes` (an array of supported sizes) and `defaultInputSize` (the default size to use when no `inputSize` is provided in options). The model must expose separate methods named `forward_{inputSize}` for each size.
+
+If your model supports only **one input size**, omit both fields and export a single `forward` method.
+:::
+
 ```typescript
 const MyLabels = { GRAPE_GREEN: 0, GRAPE_RED: 1, LEAF: 2 } as const;
 
diff --git a/packages/react-native-executorch/common/rnexecutorch/data_processing/ImageProcessing.cpp b/packages/react-native-executorch/common/rnexecutorch/data_processing/ImageProcessing.cpp
index d7a763819a..3e73a3d8a4 100644
--- a/packages/react-native-executorch/common/rnexecutorch/data_processing/ImageProcessing.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/data_processing/ImageProcessing.cpp
@@ -249,5 +249,13 @@ readImageToTensor(const std::string &path,
   }
   return {image_processing::getTensorFromMatrix(tensorDims, input), imageSize};
 }
+
+cv::Mat applySigmoid(const cv::Mat &logits) {
+  cv::Mat probMat;
+  cv::exp(-logits, probMat);
+  probMat = 255.0f / (1.0f + probMat);
+  probMat.convertTo(probMat, CV_8UC1);
+  return probMat;
+}
 } // namespace image_processing
 } // namespace rnexecutorch
diff --git a/packages/react-native-executorch/common/rnexecutorch/data_processing/ImageProcessing.h b/packages/react-native-executorch/common/rnexecutorch/data_processing/ImageProcessing.h
index 1b0c10b333..8b371f87e3 100644
--- a/packages/react-native-executorch/common/rnexecutorch/data_processing/ImageProcessing.h
+++ b/packages/react-native-executorch/common/rnexecutorch/data_processing/ImageProcessing.h
@@ -54,4 +54,10 @@ readImageToTensor(const std::string &path,
                   bool maintainAspectRatio = false,
                   std::optional<cv::Scalar> normMean = std::nullopt,
                   std::optional<cv::Scalar> normStd = std::nullopt);
+/**
+ * @brief Applies sigmoid activation to logits and converts to uint8 binary mask
+ * @param logits Input matrix containing raw logits (pre-sigmoid)
+ * @return 8-bit unsigned integer matrix with values scaled to [0, 255]
+ */
+cv::Mat applySigmoid(const cv::Mat &logits);
 } // namespace rnexecutorch::image_processing
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index 6e904cb96d..8fc0f736eb 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -53,9 +53,15 @@ std::vector<types::Instance> BaseInstanceSegmentation::runInference(
   ensureMethodLoaded(methodName);
 
   auto inputShapes = getAllInputShapes(methodName);
-  modelInputShape_ = inputShapes[0];
+  if (inputShapes.empty() || inputShapes[0].empty()) {
+    throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs,
+                            "Method '" + methodName +
+                                "' has invalid input tensor shape.");
+  }
 
-  cv::Size modelInputSize = getInputSize(methodName);
+  modelInputShape_ = inputShapes[0];
+  const auto &shape = modelInputShape_;
+  cv::Size modelInputSize(shape[shape.size() - 1], shape[shape.size() - 2]);
   cv::Size originalSize(image.cols, image.rows);
 
   cv::Mat preprocessed = preprocess(image);
@@ -156,14 +162,6 @@ cv::Rect BaseInstanceSegmentation::addPaddingToRect(const cv::Rect &rect,
   return cv::Rect(x1, y1, x2 - x1, y2 - y1);
 }
 
-cv::Mat BaseInstanceSegmentation::applySigmoid(const cv::Mat &logits) {
-  cv::Mat probMat;
-  cv::exp(-logits, probMat);
-  probMat = 255.0f / (1.0f + probMat);
-  probMat.convertTo(probMat, CV_8UC1);
-  return probMat;
-}
-
 cv::Mat BaseInstanceSegmentation::warpToOriginalResolution(
     const cv::Mat &probMat, const cv::Rect &maskRect, cv::Size originalSize,
     cv::Size maskSize, const utils::computer_vision::BBox &bboxOriginal) {
@@ -202,7 +200,7 @@ cv::Mat BaseInstanceSegmentation::processMaskFromLogits(
   }
 
   cv::Mat cropped = logitsMat(cropRect);
-  cv::Mat probMat = applySigmoid(cropped);
+  cv::Mat probMat = image_processing::applySigmoid(cropped);
 
   if (warpToOriginal) {
     probMat = warpToOriginalResolution(probMat, cropRect, originalSize,
@@ -260,13 +258,30 @@ void BaseInstanceSegmentation::ensureMethodLoaded(
       module_->unload_method(currentlyLoadedMethod_);
     }
     currentlyLoadedMethod_ = methodName;
-    module_->load_method(methodName);
+    auto loadResult = module_->load_method(methodName);
+    if (loadResult != executorch::runtime::Error::Ok) {
+      throw RnExecutorchError(
+          loadResult, "Failed to load method '" + methodName +
+                          "'. Ensure the method exists in the exported model.");
+    }
   }
 }
 
 cv::Size BaseInstanceSegmentation::getInputSize(const std::string &methodName) {
   auto inputShapes = getAllInputShapes(methodName);
-  std::vector<int32_t> inputShape = inputShapes[0];
+  if (inputShapes.empty()) {
+    throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs,
+                            "Method '" + methodName +
+                                "' has no input tensors.");
+  }
+
+  const auto &inputShape = inputShapes[0];
+  if (inputShape.empty()) {
+    throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs,
+                            "Method '" + methodName +
+                                "' input tensor has no dimensions.");
+  }
+
   int32_t inputSize = inputShape[inputShape.size() - 1];
   return cv::Size(inputSize, inputSize);
 }
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index 75170ad3b4..72dd734271 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -80,8 +80,6 @@ class BaseInstanceSegmentation : public VisionModel {
 
   cv::Rect addPaddingToRect(const cv::Rect &rect, cv::Size maskSize);
 
-  cv::Mat applySigmoid(const cv::Mat &logits);
-
   cv::Mat
   warpToOriginalResolution(const cv::Mat &probMat, const cv::Rect &maskRect,
                            cv::Size originalSize, cv::Size maskSize,

From 71312bc8fd744aef82aba99580a3ba516409a56f Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 16 Mar 2026 16:56:01 +0100
Subject: [PATCH 42/56] Update docs

---
 apps/computer-vision/package.json             |  1 -
 .../useInstanceSegmentation.md                |  2 +-
 .../InstanceSegmentationModule.md             | 29 +++++++++++--------
 3 files changed, 18 insertions(+), 14 deletions(-)

diff --git a/apps/computer-vision/package.json b/apps/computer-vision/package.json
index 86d66a114a..578acf19b3 100644
--- a/apps/computer-vision/package.json
+++ b/apps/computer-vision/package.json
@@ -12,7 +12,6 @@
   },
   "dependencies": {
     "@react-native-executorch/expo-resource-fetcher": "workspace:*",
-    "@react-native-picker/picker": "^2.11.4",
     "@react-native/metro-config": "^0.81.5",
     "@react-navigation/drawer": "^7.8.1",
     "@react-navigation/native": "^7.1.28",
diff --git a/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md b/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
index d111cd6a58..45c9bb504b 100644
--- a/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
+++ b/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
@@ -36,7 +36,7 @@ try {
 `useInstanceSegmentation` takes [`InstanceSegmentationProps`](../../06-api-reference/interfaces/InstanceSegmentationProps.md) that consists of:
 
 - `model` - An object containing:
-  - `modelName` - The name of a built-in model. See [`InstanceSegmentationModelName`](../../06-api-reference/types/InstanceSegmentationModelName.md) for the list of supported models.
+  - `modelName` - The name of a built-in model. See [`InstanceSegmentationModelName`](../../06-api-reference/type-aliases/InstanceSegmentationModelName.md) for the list of supported models.
   - `modelSource` - The location of the model binary (a URL or a bundled resource).
 - An optional flag [`preventLoad`](../../06-api-reference/interfaces/InstanceSegmentationProps.md#preventload) which prevents auto-loading of the model.
 
diff --git a/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md b/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md
index 2d70c2c77c..846330ac52 100644
--- a/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md
+++ b/docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md
@@ -11,15 +11,16 @@ TypeScript API implementation of the [useInstanceSegmentation](../../03-hooks/02
 ## High Level Overview
 
 ```typescript
-import { InstanceSegmentationModule } from 'react-native-executorch';
+import {
+  InstanceSegmentationModule,
+  YOLO26N_SEG,
+} from 'react-native-executorch';
 
 const imageUri = 'path/to/image.png';
 
 // Creating an instance from a built-in model
-const segmentation = await InstanceSegmentationModule.fromModelName({
-  modelName: 'yolo26n-seg',
-  modelSource: 'https://huggingface.co/.../yolo26n-seg.pte',
-});
+const segmentation =
+  await InstanceSegmentationModule.fromModelName(YOLO26N_SEG);
 
 // Running the model
 const instances = await segmentation.forward(imageUri);
@@ -37,16 +38,19 @@ There are two ways to create an `InstanceSegmentationModule`:
 
 Use [`fromModelName`](../../06-api-reference/classes/InstanceSegmentationModule.md#frommodelname) for pre-configured models. It accepts:
 
-- `config` - An object containing:
-  - `modelName` - The name of a built-in model (e.g. `'yolo26n-seg'`).
+- `config` - A model configuration object (e.g. `YOLO26N_SEG`, `YOLO26S_SEG`) imported from the library, containing:
+  - `modelName` - The name of a built-in model.
   - `modelSource` - Location of the model binary (a URL or a bundled resource).
 - `onDownloadProgress` (optional) - Callback to track download progress, receiving a value between 0 and 1.
 
 ```typescript
-const segmentation = await InstanceSegmentationModule.fromModelName({
-  modelName: 'yolo26n-seg',
-  modelSource: 'https://huggingface.co/.../yolo26n-seg.pte',
-});
+import {
+  InstanceSegmentationModule,
+  YOLO26N_SEG,
+} from 'react-native-executorch';
+
+const segmentation =
+  await InstanceSegmentationModule.fromModelName(YOLO26N_SEG);
 ```
 
 ### From a custom config
@@ -60,7 +64,8 @@ Use [`fromCustomConfig`](../../06-api-reference/classes/InstanceSegmentationModu
   - `postprocessorConfig` (optional) - Postprocessing settings (`applyNMS`).
   - `defaultConfidenceThreshold` (optional) - Default confidence threshold.
   - `defaultIouThreshold` (optional) - Default IoU threshold.
-  - `availableInputSizes` and `defaultInputSize` - **Required** if your model supports multiple input sizes (i.e., exports multiple forward methods like `forward_384`, `forward_512`, `forward_640`). Both must be specified together or omitted together.
+  - `availableInputSizes` (optional) - Array of supported input sizes (e.g., `[384, 512, 640]`). **Required** if your model exports multiple forward methods.
+  - `defaultInputSize` (optional) - The input size to use when `options.inputSize` is not provided. **Required** if `availableInputSizes` is specified.
 - `onDownloadProgress` (optional) - Callback to track download progress.
 
 :::tip

From 013ac1c7d1d9a70f35a894af2f5b4d91bf60d200 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 16 Mar 2026 16:57:13 +0100
Subject: [PATCH 43/56] Migrate vector<uint8> to OwningArrayBuffer

---
 .../host_objects/JsiConversions.h             |  6 ++----
 .../BaseInstanceSegmentation.cpp              |  9 ++++----
 .../models/instance_segmentation/Types.h      | 21 ++++++++++---------
 .../integration/InstanceSegmentationTest.cpp  |  7 ++++---
 4 files changed, 21 insertions(+), 22 deletions(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
index 5c66765b6d..7b389d45b6 100644
--- a/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
+++ b/packages/react-native-executorch/common/rnexecutorch/host_objects/JsiConversions.h
@@ -471,10 +471,8 @@ getJsiValue(const std::vector<models::instance_segmentation::types::Instance>
     instance.setProperty(runtime, "bbox",
                          getJsiValue(instances[i].bbox, runtime));
 
-    // Mask as Uint8Array
-    auto maskBuffer = std::make_shared<OwningArrayBuffer>(
-        instances[i].mask.data(), instances[i].mask.size());
-    jsi::ArrayBuffer arrayBuffer(runtime, maskBuffer);
+    // Mask as Uint8Array - reuse existing OwningArrayBuffer
+    jsi::ArrayBuffer arrayBuffer(runtime, instances[i].mask);
     auto uint8ArrayCtor =
         runtime.global().getPropertyAsFunction(runtime, "Uint8Array");
     auto uint8Array = uint8ArrayCtor.callAsConstructor(runtime, arrayBuffer)
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index 8fc0f736eb..d2207ecefb 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -364,11 +364,10 @@ std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
         logitsMat, bboxModel, bboxOriginal, modelInputSize, originalSize,
         returnMaskAtOriginalResolution);
 
-    instances.emplace_back(
-        bboxOriginal,
-        std::vector<uint8_t>(binaryMask.data,
-                             binaryMask.data + binaryMask.total()),
-        binaryMask.cols, binaryMask.rows, labelIdx, score);
+    instances.emplace_back(bboxOriginal,
+                           std::make_shared<OwningArrayBuffer>(
+                               binaryMask.data, binaryMask.total()),
+                           binaryMask.cols, binaryMask.rows, labelIdx, score);
   }
 
   return finalizeInstances(std::move(instances), iouThreshold, maxInstances);
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
index c3685338d3..2453cbef65 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/Types.h
@@ -1,8 +1,9 @@
 #pragma once
 
 #include <cstdint>
+#include <memory>
+#include <rnexecutorch/jsi/OwningArrayBuffer.h>
 #include <rnexecutorch/utils/computer_vision/Types.h>
-#include <vector>
 
 namespace rnexecutorch::models::instance_segmentation::types {
 
@@ -13,17 +14,17 @@ namespace rnexecutorch::models::instance_segmentation::types {
  * and confidence score.
  */
 struct Instance {
-  utils::computer_vision::BBox bbox; ///< Bounding box coordinates
-  std::vector<uint8_t> mask;         ///< Binary mask (0 or 1) for the instance
-  int32_t maskWidth;                 ///< Width of the mask array
-  int32_t maskHeight;                ///< Height of the mask array
-  int32_t classIndex;                ///< Model output class index
-  float score;                       ///< Confidence score [0, 1]
+  utils::computer_vision::BBox bbox;
+  std::shared_ptr<OwningArrayBuffer> mask;
+  int32_t maskWidth;
+  int32_t maskHeight;
+  int32_t classIndex;
+  float score;
 
   Instance() = default;
-  Instance(utils::computer_vision::BBox bbox, std::vector<uint8_t> mask,
-           int32_t maskWidth, int32_t maskHeight, int32_t classIndex,
-           float score)
+  Instance(utils::computer_vision::BBox bbox,
+           std::shared_ptr<OwningArrayBuffer> mask, int32_t maskWidth,
+           int32_t maskHeight, int32_t classIndex, float score)
       : bbox(bbox), mask(std::move(mask)), maskWidth(maskWidth),
         maskHeight(maskHeight), classIndex(classIndex), score(score) {}
 };
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp b/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
index 89a64bb3ca..83a0827e86 100644
--- a/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
@@ -161,10 +161,11 @@ TEST(InstanceSegResultTests, InstancesHaveValidMasks) {
   for (const auto &inst : results) {
     EXPECT_GT(inst.maskWidth, 0);
     EXPECT_GT(inst.maskHeight, 0);
-    EXPECT_EQ(inst.mask.size(),
+    EXPECT_EQ(inst.mask->size(),
               static_cast<size_t>(inst.maskWidth) * inst.maskHeight);
 
-    for (uint8_t val : inst.mask) {
+    for (size_t i = 0; i < inst.mask->size(); ++i) {
+      uint8_t val = inst.mask->data()[i];
       EXPECT_TRUE(val == 0 || val == 1);
     }
   }
@@ -222,7 +223,7 @@ TEST(InstanceSegMaskTests, LowResMaskIsSmallerThanOriginal) {
                               kMethodName);
 
   if (!hiRes.empty() && !loRes.empty()) {
-    EXPECT_LE(loRes[0].mask.size(), hiRes[0].mask.size());
+    EXPECT_LE(loRes[0].mask->size(), hiRes[0].mask->size());
   }
 }
 

From 3ceadb3f4a2e16272ef74a9241a84d20b30b0df7 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 16 Mar 2026 17:05:15 +0100
Subject: [PATCH 44/56] Apply revies suggestions

---
 .../BaseInstanceSegmentation.cpp              |    6 +-
 .../src/types/instanceSegmentation.ts         |    7 +
 yarn.lock                                     | 1415 ++++++++---------
 3 files changed, 712 insertions(+), 716 deletions(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index d2207ecefb..e778132465 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -315,14 +315,14 @@ std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
       static_cast<float>(originalSize.width) / modelInputSize.width;
   float heightRatio =
       static_cast<float>(originalSize.height) / modelInputSize.height;
-  std::set<int32_t> allowedClasses = prepareAllowedClasses(classIndices);
+  auto allowedClasses = prepareAllowedClasses(classIndices);
 
   // CONTRACT
   auto bboxTensor = tensors[0].toTensor();   // [1, N, 4]
   auto scoresTensor = tensors[1].toTensor(); // [1, N, 2]
   auto maskTensor = tensors[2].toTensor();   // [1, N, H, W]
 
-  int32_t N = bboxTensor.size(1);
+  int32_t numInstances = bboxTensor.size(1);
   int32_t maskH = maskTensor.size(2);
   int32_t maskW = maskTensor.size(3);
 
@@ -343,7 +343,7 @@ std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
 
   std::vector<types::Instance> instances;
 
-  for (int32_t i = 0; i < N; ++i) {
+  for (int32_t i = 0; i < numInstances; ++i) {
     auto [bboxModel, score, labelIdx] =
         extractDetectionData(bboxData, scoresData, i);
 
diff --git a/packages/react-native-executorch/src/types/instanceSegmentation.ts b/packages/react-native-executorch/src/types/instanceSegmentation.ts
index be3e03891b..39c53a90b5 100644
--- a/packages/react-native-executorch/src/types/instanceSegmentation.ts
+++ b/packages/react-native-executorch/src/types/instanceSegmentation.ts
@@ -80,6 +80,13 @@ export interface InstanceSegmentationOptions<L extends LabelEnum> {
  *
  * @typeParam T - The label map type for the model, must conform to {@link LabelEnum}.
  * @category Types
+ *
+ * @remarks
+ * The `availableInputSizes` and `defaultInputSize` fields are mutually inclusive:
+ * - **Either both must be provided** (for models with multiple input sizes), or
+ * - **Both must be omitted** (for models with a single input size).
+ *
+ * This discriminated union ensures type safety and prevents partial configuration.
  */
 export type InstanceSegmentationConfig<T extends LabelEnum> = {
   labelMap: T;
diff --git a/yarn.lock b/yarn.lock
index 72f4265e51..f8b70c6e0c 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -162,9 +162,9 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@babel/helper-define-polyfill-provider@npm:^0.6.5, @babel/helper-define-polyfill-provider@npm:^0.6.6":
-  version: 0.6.6
-  resolution: "@babel/helper-define-polyfill-provider@npm:0.6.6"
+"@babel/helper-define-polyfill-provider@npm:^0.6.5, @babel/helper-define-polyfill-provider@npm:^0.6.7":
+  version: 0.6.7
+  resolution: "@babel/helper-define-polyfill-provider@npm:0.6.7"
   dependencies:
     "@babel/helper-compilation-targets": "npm:^7.28.6"
     "@babel/helper-plugin-utils": "npm:^7.28.6"
@@ -173,7 +173,7 @@ __metadata:
     resolve: "npm:^1.22.11"
   peerDependencies:
     "@babel/core": ^7.4.0 || ^8.0.0-0 <8.0.0
-  checksum: 10/1c725c47bafb10ae4527aff6741b44ca49b18bf7005ae4583b15f992783e7c1d7687eab1a5583a373b5494160d46e91e29145280bd850e97d36b8b01bc5fef99
+  checksum: 10/a13fe848018aad9745018ab1f8c95520f3872572cc931c70c77acacf9b8f774b49e22ece6cc89143867935e2efac3fc7eb325f2846dedc1621d83f2f8f7d8ad1
   languageName: node
   linkType: hard
 
@@ -1881,9 +1881,9 @@ __metadata:
   linkType: hard
 
 "@cspell/dict-companies@npm:^3.1.15":
-  version: 3.2.10
-  resolution: "@cspell/dict-companies@npm:3.2.10"
-  checksum: 10/e3e6be70cef9be8fa7da86ed2ce1150545062175f6335d30de9bcac2cf509fbfa82d5428333129be823698870df48f78abbff4c6ee50b465efb1951adaa4cdf3
+  version: 3.2.11
+  resolution: "@cspell/dict-companies@npm:3.2.11"
+  checksum: 10/7ebaa0a31c9d8c20645083b925bda258bbf36e8c139151c59883f426a84883adcca0ca990d9a8b343e8be8e8fbc3c841e8566c69759db9c074aa2e5917fa05d8
   languageName: node
   linkType: hard
 
@@ -1909,9 +1909,9 @@ __metadata:
   linkType: hard
 
 "@cspell/dict-css@npm:^4.0.17":
-  version: 4.0.19
-  resolution: "@cspell/dict-css@npm:4.0.19"
-  checksum: 10/293edf2d26b33d85ea5828b499e77e5a6a471f7c8ac754adf7c574dac62363f10d46d1de47afc20b8904554212834b671bbd8e98669e59908856ca1c46c787db
+  version: 4.1.1
+  resolution: "@cspell/dict-css@npm:4.1.1"
+  checksum: 10/83d67eecd3c25a7b057779e48bc1b04b05e831e403dd6e5ff15b9025bda4012553ac356abba548ba5aad820324a5b66738f3dc3dd05378ed273956bada4ef03e
   languageName: node
   linkType: hard
 
@@ -1972,16 +1972,16 @@ __metadata:
   linkType: hard
 
 "@cspell/dict-en_us@npm:^4.4.3":
-  version: 4.4.29
-  resolution: "@cspell/dict-en_us@npm:4.4.29"
-  checksum: 10/537f254cb34484f6b44a9c935ad8ad32924c950b338c23ee2494c26a65b8eb06cfa16452ef5bf3102322ec4be3a55563a582d8efd3f651b64c41b5ee16f90738
+  version: 4.4.31
+  resolution: "@cspell/dict-en_us@npm:4.4.31"
+  checksum: 10/22fd608c1d4a4d195766a387cc26e161786e9da729711eca2a6a1f4eb8a89b56cd65c3c9889db65755f18714d83c3b0aa3097b5e17240a31d51040afb58fec39
   languageName: node
   linkType: hard
 
 "@cspell/dict-filetypes@npm:^3.0.11":
-  version: 3.0.16
-  resolution: "@cspell/dict-filetypes@npm:3.0.16"
-  checksum: 10/30f05d175b96cd4bb6d9504af929255987aa922e29223eb3fc00c712a375c0843903935b8c648fe514011904386b7c652ac87a197aa8b65f47695a6e96d3e293
+  version: 3.0.17
+  resolution: "@cspell/dict-filetypes@npm:3.0.17"
+  checksum: 10/91bfbefb96dcc29b705af41669211e6ad4c5fa2dde984b21f590620c9536f9d22d36ddbcaaf82acb4eb16b6431c3799170058f3e4a2e5c34563b57645e6e546d
   languageName: node
   linkType: hard
 
@@ -1993,9 +1993,9 @@ __metadata:
   linkType: hard
 
 "@cspell/dict-fonts@npm:^4.0.4":
-  version: 4.0.5
-  resolution: "@cspell/dict-fonts@npm:4.0.5"
-  checksum: 10/6ad5c29a73d2b70ac341ea1bc5baaa3bd9b1b43d5c0d54bacb5e226fbc55072b778d2fb9d121acf66ab2d1c39e5d605af099369005004f9678f8b853e4b9d707
+  version: 4.0.6
+  resolution: "@cspell/dict-fonts@npm:4.0.6"
+  checksum: 10/29ad0cf68cd3e6cef29e4c257de6ad5034ea4cdfdaf5aafd8ff6fc7918da205252d9de68c3a82b36169d21aa4abd17a4f1f4e352821f4f90f527d252d8830e8a
   languageName: node
   linkType: hard
 
@@ -2056,9 +2056,9 @@ __metadata:
   linkType: hard
 
 "@cspell/dict-html@npm:^4.0.11":
-  version: 4.0.14
-  resolution: "@cspell/dict-html@npm:4.0.14"
-  checksum: 10/b6047177b6012d467926c27777391cc3f6ebc522c6f4dce01e58a8100dfac61d5cecefc59ba5994728d41c7480d7c9d994d0f8673197740526f6afbed544094a
+  version: 4.0.15
+  resolution: "@cspell/dict-html@npm:4.0.15"
+  checksum: 10/e5bcee3ac7757ba0e937c8ea76cb0111ac32105e6ce42babdd305fb226f22125228f0df2eebad0692436bb40fe2f74d17a04bc3e9ef6c89370a65bdb6c17232a
   languageName: node
   linkType: hard
 
@@ -2119,14 +2119,14 @@ __metadata:
   linkType: hard
 
 "@cspell/dict-markdown@npm:^2.0.10":
-  version: 2.0.14
-  resolution: "@cspell/dict-markdown@npm:2.0.14"
+  version: 2.0.16
+  resolution: "@cspell/dict-markdown@npm:2.0.16"
   peerDependencies:
-    "@cspell/dict-css": ^4.0.19
-    "@cspell/dict-html": ^4.0.14
+    "@cspell/dict-css": ^4.1.1
+    "@cspell/dict-html": ^4.0.15
     "@cspell/dict-html-symbol-entities": ^4.0.5
     "@cspell/dict-typescript": ^3.2.3
-  checksum: 10/7ca267a7089bcf63aebb94b2934220aa81e1b747427e7c7998fc6852818a726da8ccaf380e0b76314cfc57504308446361dc6f1daef3cd73f3d60479563c636a
+  checksum: 10/951986c4485bb83de9c7547dcba9e2aa8510b89d3146d636c2fac26b9a684230a317d2b6d1812f5fc8e274b77889680e40fb4631392f81da1e3466ee9baa3017
   languageName: node
   linkType: hard
 
@@ -2145,9 +2145,9 @@ __metadata:
   linkType: hard
 
 "@cspell/dict-npm@npm:^5.2.1":
-  version: 5.2.35
-  resolution: "@cspell/dict-npm@npm:5.2.35"
-  checksum: 10/c98bddeb07203be6be2d41dff724779c35459e1e1a1f9c552dd5224b8862a21cb7c13fd32236ba62ad20df0f99b05f8d409a2330c047aaae2ba94dbdf8312984
+  version: 5.2.37
+  resolution: "@cspell/dict-npm@npm:5.2.37"
+  checksum: 10/9686a603449e0a587f39fa075db13aa1e9d50c0c5d00e15fd96678a710edd6a2fa4107da81d874819071bb994b37975a1ac663e058b66e97c711e1ce6ef636d8
   languageName: node
   linkType: hard
 
@@ -2189,9 +2189,9 @@ __metadata:
   linkType: hard
 
 "@cspell/dict-ruby@npm:^5.0.8":
-  version: 5.1.0
-  resolution: "@cspell/dict-ruby@npm:5.1.0"
-  checksum: 10/afe89daa54a6c3be62686f4f74fe924dabb4077e9aead71bf26e211885d068066df414857f27da258a130e2e06ecb5eac394225bc120607bebcb08746b6188f9
+  version: 5.1.1
+  resolution: "@cspell/dict-ruby@npm:5.1.1"
+  checksum: 10/8f09db1fdcf0e990ab56ac61b40cc2a7a3c2fbd01f8b4dc2de7018c31a1fad98228a67225f49801fbc2353624df8492b9775d8d04e37bfea2182cb390a686c83
   languageName: node
   linkType: hard
 
@@ -2217,9 +2217,9 @@ __metadata:
   linkType: hard
 
 "@cspell/dict-software-terms@npm:^5.0.5":
-  version: 5.1.23
-  resolution: "@cspell/dict-software-terms@npm:5.1.23"
-  checksum: 10/69f9149df10071ae0901d71f01a6475f329cd2571973f6d356ebf210e0405a935ec28d5b07d58eff0a861a58e59406c96e7f608ed677ec1126ade90cf6d9f118
+  version: 5.2.0
+  resolution: "@cspell/dict-software-terms@npm:5.2.0"
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-    jest-util: "npm:30.2.0"
-    micromatch: "npm:^4.0.8"
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-  resolution: "@kesha-antonov/react-native-background-downloader@npm:4.5.2"
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+  resolution: "@react-navigation/native-stack@npm:7.14.5"
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-  resolution: "@react-navigation/native@npm:7.1.31"
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-  resolution: "@sinonjs/fake-timers@npm:13.0.5"
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 "@types/node@npm:*":
-  version: 25.3.1
-  resolution: "@types/node@npm:25.3.1"
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 "arktype@npm:^2.1.15":
-  version: 2.1.29
-  resolution: "arktype@npm:2.1.29"
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+  resolution: "arktype@npm:2.2.0"
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     once: "npm:^1.3.1"
-  checksum: 10/52843fc933b838c0330f588388115a1b28ef2a5ffa7774709b142e35431e8ab0c2edec90de3fa34ebb72d59fef854f151eea7dfc211b6dcf586b384556bd2f39
+  checksum: 10/d043c3e710c56ffd280711e98a94e863ab334f79ea43cee0fb70e1349b2355ffd2ff287c7522e4c960a247699d5b7825f00fa090b85d6179c973be13f78a6c49
   languageName: node
   linkType: hard
 
@@ -14440,7 +14419,7 @@ __metadata:
   languageName: node
   linkType: hard
 
-"react-native-is-edge-to-edge@npm:1.2.1, react-native-is-edge-to-edge@npm:^1.1.6, react-native-is-edge-to-edge@npm:^1.2.1":
+"react-native-is-edge-to-edge@npm:1.2.1":
   version: 1.2.1
   resolution: "react-native-is-edge-to-edge@npm:1.2.1"
   peerDependencies:
@@ -14450,6 +14429,16 @@ __metadata:
   languageName: node
   linkType: hard
 
+"react-native-is-edge-to-edge@npm:^1.1.6, react-native-is-edge-to-edge@npm:^1.2.1":
+  version: 1.3.1
+  resolution: "react-native-is-edge-to-edge@npm:1.3.1"
+  peerDependencies:
+    react: "*"
+    react-native: "*"
+  checksum: 10/dc82d54e0bf8f89208a538bb0d14e4891af6efae27ed5b7b21be683a72c38c5219ab9be1ea9bd40aa1c905d481174e649d0b71aeceaa9946e6c707f251568282
+  languageName: node
+  linkType: hard
+
 "react-native-loading-spinner-overlay@npm:^3.0.1":
   version: 3.0.1
   resolution: "react-native-loading-spinner-overlay@npm:3.0.1"
@@ -15129,10 +15118,10 @@ __metadata:
   languageName: node
   linkType: hard
 
-"sax@npm:>=0.6.0":
-  version: 1.4.4
-  resolution: "sax@npm:1.4.4"
-  checksum: 10/00ff7b258baa37d98f8abfa0b5c8b3ee739ca37e9b6ecb83405be9e6e5b0b2856394a5eff142db1d987d589b54b139d4236f25830c1e17a2b640efa53c8fda72
+"sax@npm:>=0.6.0, sax@npm:^1.5.0":
+  version: 1.5.0
+  resolution: "sax@npm:1.5.0"
+  checksum: 10/9012ff37dda7a7ac5da45db2143b04036103e8bef8d586c3023afd5df6caf0ebd7f38017eee344ad2e2247eded7d38e9c42cf291d8dd91781352900ac0fd2d9f
   languageName: node
   linkType: hard
 
@@ -15438,9 +15427,9 @@ __metadata:
   linkType: hard
 
 "slugify@npm:^1.3.4, slugify@npm:^1.6.6":
-  version: 1.6.6
-  resolution: "slugify@npm:1.6.6"
-  checksum: 10/d0737cdedc834c50f74227bc1a1cf4f449f3575893f031b0e8c59f501c73526c866a23e47261b262c7acdaaaaf30d6f9e8aaae22772b3f56e858ac84c35efa7b
+  version: 1.6.8
+  resolution: "slugify@npm:1.6.8"
+  checksum: 10/d80c3ce9e57d67ba60f4fc37ac4e2852174eab6402d16daeb6896ced1da838ef650a563a0069266198a866407744334fcd8c02b3470e0a9be348b885cf5db8a7
   languageName: node
   linkType: hard
 
@@ -15822,9 +15811,9 @@ __metadata:
   linkType: hard
 
 "strnum@npm:^2.1.2":
-  version: 2.1.2
-  resolution: "strnum@npm:2.1.2"
-  checksum: 10/7d894dff385e3a5c5b29c012cf0a7ea7962a92c6a299383c3d6db945ad2b6f3e770511356a9774dbd54444c56af1dc7c435dad6466c47293c48173274dd6c631
+  version: 2.2.0
+  resolution: "strnum@npm:2.2.0"
+  checksum: 10/2969dbc8441f5af1b55db1d2fcea64a8f912de18515b57f85574e66bdb8f30ae76c419cf1390b343d72d687e2aea5aca82390f18b9e0de45d6bcc6d605eb9385
   languageName: node
   linkType: hard
 
@@ -15905,19 +15894,19 @@ __metadata:
   linkType: hard
 
 "svgo@npm:^3.0.2":
-  version: 3.3.2
-  resolution: "svgo@npm:3.3.2"
+  version: 3.3.3
+  resolution: "svgo@npm:3.3.3"
   dependencies:
-    "@trysound/sax": "npm:0.2.0"
     commander: "npm:^7.2.0"
     css-select: "npm:^5.1.0"
     css-tree: "npm:^2.3.1"
     css-what: "npm:^6.1.0"
     csso: "npm:^5.0.5"
     picocolors: "npm:^1.0.0"
+    sax: "npm:^1.5.0"
   bin:
     svgo: ./bin/svgo
-  checksum: 10/82fdea9b938884d808506104228e4d3af0050d643d5b46ff7abc903ff47a91bbf6561373394868aaf07a28f006c4057b8fbf14bbd666298abdd7cc590d4f7700
+  checksum: 10/f3c1b4d05d1704483e53515d5995af5f06a2718df85e3a8320f57bb256b8dc926b84c87a1a9b98e9d3ca1224314cc0676a803bdd03163508292f2d45c7077096
   languageName: node
   linkType: hard
 
@@ -15931,15 +15920,15 @@ __metadata:
   linkType: hard
 
 "tar@npm:^7.5.2, tar@npm:^7.5.4":
-  version: 7.5.9
-  resolution: "tar@npm:7.5.9"
+  version: 7.5.11
+  resolution: "tar@npm:7.5.11"
   dependencies:
     "@isaacs/fs-minipass": "npm:^4.0.0"
     chownr: "npm:^3.0.0"
     minipass: "npm:^7.1.2"
     minizlib: "npm:^3.1.0"
     yallist: "npm:^5.0.0"
-  checksum: 10/1213cdde9c22d6acf8809ba5d2a025212ce3517bc99c4a4c6981b7dc0489bf3b164db9c826c9517680889194c9ba57448c8ff0da35eca9a60bb7689bf0b3897d
+  checksum: 10/fb2e77ee858a73936c68e066f4a602d428d6f812e6da0cc1e14a41f99498e4f7fd3535e355fa15157240a5538aa416026cfa6306bb0d1d1c1abf314b1f878e9a
   languageName: node
   linkType: hard
 
@@ -15954,8 +15943,8 @@ __metadata:
   linkType: hard
 
 "terser@npm:^5.15.0":
-  version: 5.46.0
-  resolution: "terser@npm:5.46.0"
+  version: 5.46.1
+  resolution: "terser@npm:5.46.1"
   dependencies:
     "@jridgewell/source-map": "npm:^0.3.3"
     acorn: "npm:^8.15.0"
@@ -15963,7 +15952,7 @@ __metadata:
     source-map-support: "npm:~0.5.20"
   bin:
     terser: bin/terser
-  checksum: 10/331e4f5a165d91d16ac6a95b510d4f5ef24679e4bc9e1b4e4182e89b7245f614d24ce0def583e2ca3ca45f82ba810991e0c5b66dd4353a6e0b7082786af6bd35
+  checksum: 10/16d21179905e549dae2560e107d069ba0fdb801c637bf5f07c2f30431e53b1641151d5e35915ca6578ac1d9763984095723034bf1a26740b183093f200293f86
   languageName: node
   linkType: hard
 
@@ -16276,9 +16265,9 @@ __metadata:
   linkType: hard
 
 "undici@npm:^6.18.2":
-  version: 6.23.0
-  resolution: "undici@npm:6.23.0"
-  checksum: 10/56950995e7b628e62c996430445d17995ca9b70f6f2afe760a63da54205660d968bd08f0741b6f4fb008f40aa35c69cce979cd96ced399585d8c897a76a4f1d1
+  version: 6.24.1
+  resolution: "undici@npm:6.24.1"
+  checksum: 10/4f84e6045520eef9ba8eabb96360b50c759f59905c1703b12187c2dbcc6d1584c5d7ecddeb45b0ed6cac84ca2d132b21bfd8a38f77fa30378b1ac5d2ae390fd9
   languageName: node
   linkType: hard
 

From 7ebdbbadca836fe4bbde2009f086a670c04159cd Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 16 Mar 2026 18:06:23 +0100
Subject: [PATCH 45/56] Change rfdetr naming, apply suggestions

---
 .gitignore                                    |  2 -
 .../app/vision_camera/index.tsx               | 44 +++++++++----------
 .../tasks/InstanceSegmentationTask.tsx        |  4 +-
 .../utils/computer_vision/Processing.cpp      |  4 +-
 .../utils/computer_vision/Processing.h        |  5 ++-
 .../src/constants/modelUrls.ts                |  8 ++--
 .../useSemanticSegmentation.ts                |  2 +-
 .../InstanceSegmentationModule.ts             |  5 ++-
 .../src/types/instanceSegmentation.ts         |  2 +-
 9 files changed, 38 insertions(+), 38 deletions(-)

diff --git a/.gitignore b/.gitignore
index 76a51d0033..d481899882 100644
--- a/.gitignore
+++ b/.gitignore
@@ -103,5 +103,3 @@ packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/mo
 Makefile
 *.pte
 
-# Test assets
-packages/react-native-executorch/common/rnexecutorch/tests/integration/assets/models/
diff --git a/apps/computer-vision/app/vision_camera/index.tsx b/apps/computer-vision/app/vision_camera/index.tsx
index dd7f016100..85b7a4a68e 100644
--- a/apps/computer-vision/app/vision_camera/index.tsx
+++ b/apps/computer-vision/app/vision_camera/index.tsx
@@ -28,10 +28,10 @@ import Svg, { Path, Polygon } from 'react-native-svg';
 import { GeneratingContext } from '../../context';
 import Spinner from '../../components/Spinner';
 import ColorPalette from '../../colors';
-import ClassificationTask from './tasks/ClassificationTask';
-import ObjectDetectionTask from './tasks/ObjectDetectionTask';
-import SegmentationTask from './tasks/SegmentationTask';
-import InstanceSegmentationTask from './tasks/InstanceSegmentationTask';
+import ClassificationTask from '../../components/vision_camera/tasks/ClassificationTask';
+import ObjectDetectionTask from '../../components/vision_camera/tasks/ObjectDetectionTask';
+import SegmentationTask from '../../components/vision_camera/tasks/SegmentationTask';
+import InstanceSegmentationTask from '../../components/vision_camera/tasks/InstanceSegmentationTask';
 
 type TaskId =
   | 'classification'
@@ -40,15 +40,15 @@ type TaskId =
   | 'instanceSegmentation';
 type ModelId =
   | 'classification'
-  | 'objectDetection_ssdlite'
-  | 'objectDetection_rfdetr'
-  | 'segmentation_deeplab_resnet50'
-  | 'segmentation_deeplab_resnet101'
-  | 'segmentation_deeplab_mobilenet'
-  | 'segmentation_lraspp'
-  | 'segmentation_fcn_resnet50'
-  | 'segmentation_fcn_resnet101'
-  | 'segmentation_selfie'
+  | 'objectDetectionSsdlite'
+  | 'objectDetectionRfdetr'
+  | 'segmentationDeeplabResnet50'
+  | 'segmentationDeeplabResnet101'
+  | 'segmentationDeeplabMobilenet'
+  | 'segmentationLraspp'
+  | 'segmentationFcnResnet50'
+  | 'segmentationFcnResnet101'
+  | 'segmentationSelfie'
   | 'instanceSegmentation_yolo26n'
   | 'instanceSegmentation_rfdetr';
 
@@ -87,7 +87,7 @@ const TASKS: Task[] = [
     label: 'Inst Seg',
     variants: [
       { id: 'instanceSegmentation_yolo26n', label: 'YOLO26N Seg' },
-      { id: 'instanceSegmentation_rfdetr', label: 'RF-DETR Seg' },
+      { id: 'instanceSegmentation_rfdetr', label: 'RF-DETR Nano Seg' },
     ],
   },
 ];
@@ -216,7 +216,7 @@ export default function VisionCameraScreen() {
         <ObjectDetectionTask
           {...taskProps}
           activeModel={
-            activeModel as 'objectDetection_ssdlite' | 'objectDetection_rfdetr'
+            activeModel as 'objectDetectionSsdlite' | 'objectDetectionRfdetr'
           }
         />
       )}
@@ -225,13 +225,13 @@ export default function VisionCameraScreen() {
           {...taskProps}
           activeModel={
             activeModel as
-              | 'segmentation_deeplab_resnet50'
-              | 'segmentation_deeplab_resnet101'
-              | 'segmentation_deeplab_mobilenet'
-              | 'segmentation_lraspp'
-              | 'segmentation_fcn_resnet50'
-              | 'segmentation_fcn_resnet101'
-              | 'segmentation_selfie'
+              | 'segmentationDeeplabResnet50'
+              | 'segmentationDeeplabResnet101'
+              | 'segmentationDeeplabMobilenet'
+              | 'segmentationLraspp'
+              | 'segmentationFcnResnet50'
+              | 'segmentationFcnResnet101'
+              | 'segmentationSelfie'
           }
         />
       )}
diff --git a/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx b/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx
index 6c7f5a0a39..cf50f15117 100644
--- a/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx
+++ b/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx
@@ -5,7 +5,7 @@ import { scheduleOnRN } from 'react-native-worklets';
 import {
   SegmentedInstance,
   YOLO26N_SEG,
-  RF_DETR_SEG,
+  RF_DETR_NANO_SEG,
   useInstanceSegmentation,
   CocoLabel,
   CocoLabelYolo,
@@ -40,7 +40,7 @@ export default function InstanceSegmentationTask({
     preventLoad: activeModel !== 'instanceSegmentation_yolo26n',
   });
   const rfdetr = useInstanceSegmentation({
-    model: RF_DETR_SEG,
+    model: RF_DETR_NANO_SEG,
     preventLoad: activeModel !== 'instanceSegmentation_rfdetr',
   });
 
diff --git a/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.cpp b/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.cpp
index 5fe80b44b3..4343fba51b 100644
--- a/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.cpp
@@ -19,7 +19,7 @@ float computeIoU(const BBox &a, const BBox &b) {
 }
 
 BBox scaleBBox(const BBox &box, float widthRatio, float heightRatio) {
-  return BBox{
+  return {
       .x1 = box.x1 * widthRatio,
       .y1 = box.y1 * heightRatio,
       .x2 = box.x2 * widthRatio,
@@ -28,7 +28,7 @@ BBox scaleBBox(const BBox &box, float widthRatio, float heightRatio) {
 }
 
 BBox clipBBox(const BBox &box, float maxWidth, float maxHeight) {
-  return BBox{
+  return {
       .x1 = std::max(0.0f, box.x1),
       .y1 = std::max(0.0f, box.y1),
       .x2 = std::min(maxWidth, box.x2),
diff --git a/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.h b/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.h
index 676f4435ff..387d945a62 100644
--- a/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.h
+++ b/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.h
@@ -2,6 +2,7 @@
 
 #include "Types.h"
 #include <algorithm>
+#include <ranges>
 #include <vector>
 
 namespace rnexecutorch::utils::computer_vision {
@@ -18,8 +19,8 @@ std::vector<T> nonMaxSuppression(std::vector<T> items, double iouThreshold) {
     return {};
   }
 
-  std::sort(items.begin(), items.end(),
-            [](const T &a, const T &b) { return a.score > b.score; });
+  std::ranges::sort(items,
+                    [](const T &a, const T &b) { return a.score > b.score; });
 
   std::vector<T> result;
   std::vector<bool> suppressed(items.size(), false);
diff --git a/packages/react-native-executorch/src/constants/modelUrls.ts b/packages/react-native-executorch/src/constants/modelUrls.ts
index fb7b8fe91d..069544990f 100644
--- a/packages/react-native-executorch/src/constants/modelUrls.ts
+++ b/packages/react-native-executorch/src/constants/modelUrls.ts
@@ -814,7 +814,7 @@ const YOLO26S_SEG_MODEL = `${URL_PREFIX}-yolo26-seg/${NEXT_VERSION_TAG}/yolo26s-
 const YOLO26M_SEG_MODEL = `${URL_PREFIX}-yolo26-seg/${NEXT_VERSION_TAG}/yolo26m-seg/xnnpack/yolo26m-seg.pte`;
 const YOLO26L_SEG_MODEL = `${URL_PREFIX}-yolo26-seg/${NEXT_VERSION_TAG}/yolo26l-seg/xnnpack/yolo26l-seg.pte`;
 const YOLO26X_SEG_MODEL = `${URL_PREFIX}-yolo26-seg/${NEXT_VERSION_TAG}/yolo26x-seg/xnnpack/yolo26x-seg.pte`;
-const RF_DETR_SEG_MODEL = `${URL_PREFIX}-rfdetr-nano-segmentation/${NEXT_VERSION_TAG}/rfdetr_segmentation.pte`;
+const RF_DETR_NANO_SEG_MODEL = `${URL_PREFIX}-rfdetr-nano-segmentation/${NEXT_VERSION_TAG}/rfdetr_segmentation.pte`;
 /**
  * @category Models - Instance Segmentation
  */
@@ -858,9 +858,9 @@ export const YOLO26X_SEG = {
 /**
  * @category Models - Instance Segmentation
  */
-export const RF_DETR_SEG = {
-  modelName: 'rfdetr-seg',
-  modelSource: RF_DETR_SEG_MODEL,
+export const RF_DETR_NANO_SEG = {
+  modelName: 'rfdetr-nano-seg',
+  modelSource: RF_DETR_NANO_SEG_MODEL,
 } as const;
 
 // Image Embeddings
diff --git a/packages/react-native-executorch/src/hooks/computer_vision/useSemanticSegmentation.ts b/packages/react-native-executorch/src/hooks/computer_vision/useSemanticSegmentation.ts
index ae6ebed938..5c1e00ed0e 100644
--- a/packages/react-native-executorch/src/hooks/computer_vision/useSemanticSegmentation.ts
+++ b/packages/react-native-executorch/src/hooks/computer_vision/useSemanticSegmentation.ts
@@ -21,7 +21,7 @@ import { useModuleFactory } from '../useModuleFactory';
  * @example
  * ```ts
  * const { isReady, forward } = useSemanticSegmentation({
- *   model: { modelName: 'deeplab-v3', modelSource: DEEPLAB_V3_RESNET50 },
+ *   model: { modelName: 'deeplab-v3-resnet50', modelSource: DEEPLAB_V3_RESNET50 },
  * });
  * ```
  *
diff --git a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
index b47d9bc8cd..cea3ccc3c7 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/InstanceSegmentationModule.ts
@@ -34,7 +34,7 @@ const YOLO_SEG_CONFIG = {
   },
 } satisfies InstanceSegmentationConfig<typeof CocoLabelYolo>;
 
-const RF_DETR_SEG_CONFIG = {
+const RF_DETR_NANO_SEG_CONFIG = {
   preprocessorConfig: { normMean: IMAGENET1K_MEAN, normStd: IMAGENET1K_STD },
   labelMap: CocoLabel,
   availableInputSizes: undefined,
@@ -73,7 +73,7 @@ const ModelConfigs = {
   'yolo26m-seg': YOLO_SEG_CONFIG,
   'yolo26l-seg': YOLO_SEG_CONFIG,
   'yolo26x-seg': YOLO_SEG_CONFIG,
-  'rfdetr-seg': RF_DETR_SEG_CONFIG,
+  'rfdetr-nano-seg': RF_DETR_NANO_SEG_CONFIG,
 } as const satisfies Record<
   InstanceSegmentationModelName,
   | InstanceSegmentationConfig<typeof CocoLabel>
@@ -109,6 +109,7 @@ type ResolveLabels<T extends InstanceSegmentationModelName | LabelEnum> =
  *
  * Supported models (download from HuggingFace):
  * - `yolo26n-seg`, `yolo26s-seg`, `yolo26m-seg`, `yolo26l-seg`, `yolo26x-seg` - YOLO models with COCO labels (80 classes)
+ * - `rfdetr-nano-seg` - RF-DETR Nano model with COCO labels (80 classes)
  *
  * @typeParam T - Either a pre-configured model name from {@link InstanceSegmentationModelName}
  *   or a custom label map conforming to {@link LabelEnum}.
diff --git a/packages/react-native-executorch/src/types/instanceSegmentation.ts b/packages/react-native-executorch/src/types/instanceSegmentation.ts
index 39c53a90b5..117f7dcd2f 100644
--- a/packages/react-native-executorch/src/types/instanceSegmentation.ts
+++ b/packages/react-native-executorch/src/types/instanceSegmentation.ts
@@ -120,7 +120,7 @@ export type InstanceSegmentationModelSources =
   | { modelName: 'yolo26m-seg'; modelSource: ResourceSource }
   | { modelName: 'yolo26l-seg'; modelSource: ResourceSource }
   | { modelName: 'yolo26x-seg'; modelSource: ResourceSource }
-  | { modelName: 'rfdetr-seg'; modelSource: ResourceSource };
+  | { modelName: 'rfdetr-nano-seg'; modelSource: ResourceSource };
 
 /**
  * Union of all built-in instance segmentation model names.

From 139536cc31b3e0cee723e64d45c2ffa993b14085 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 16 Mar 2026 18:16:44 +0100
Subject: [PATCH 46/56] Apply suggestions

---
 .../instance_segmentation/BaseInstanceSegmentation.cpp      | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index e778132465..2a0e195b0a 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -332,10 +332,8 @@ std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
 
   auto isValidDetection =
       [&allowedClasses, &confidenceThreshold](float score, int32_t labelIdx) {
-        if (score < confidenceThreshold) {
-          return false;
-        }
-        if (!allowedClasses.empty() && allowedClasses.count(labelIdx) == 0) {
+        if (score < confidenceThreshold ||
+            (!allowedClasses.empty() && allowedClasses.count(labelIdx) == 0)) {
           return false;
         }
         return true;

From fa85d5627117845c287a27ad9216d662c10ea6bf Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 16 Mar 2026 18:19:07 +0100
Subject: [PATCH 47/56] Apply suggestions

---
 .../common/rnexecutorch/utils/computer_vision/Processing.h       | 1 -
 1 file changed, 1 deletion(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.h b/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.h
index 387d945a62..a3115fed82 100644
--- a/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.h
+++ b/packages/react-native-executorch/common/rnexecutorch/utils/computer_vision/Processing.h
@@ -2,7 +2,6 @@
 
 #include "Types.h"
 #include <algorithm>
-#include <ranges>
 #include <vector>
 
 namespace rnexecutorch::utils::computer_vision {

From 2b69c66da7e5852402011ed0a19fc8339d83150d Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 16 Mar 2026 18:28:35 +0100
Subject: [PATCH 48/56] Apply suggestions

---
 .../instance_segmentation/BaseInstanceSegmentation.cpp     | 7 ++-----
 1 file changed, 2 insertions(+), 5 deletions(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index 2a0e195b0a..e66019b17e 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -332,11 +332,8 @@ std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
 
   auto isValidDetection =
       [&allowedClasses, &confidenceThreshold](float score, int32_t labelIdx) {
-        if (score < confidenceThreshold ||
-            (!allowedClasses.empty() && allowedClasses.count(labelIdx) == 0)) {
-          return false;
-        }
-        return true;
+        return score >= confidenceThreshold &&
+               (allowedClasses.empty() || allowedClasses.count(labelIdx) != 0);
       };
 
   std::vector<types::Instance> instances;

From 0e908719f07e1863d7e13cb3bd975bce12c1c951 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Mon, 16 Mar 2026 18:26:07 +0100
Subject: [PATCH 49/56] Update docs

---
 apps/computer-vision/app/index.tsx            |  1 -
 docs/docs/02-benchmarks/memory-usage.md       | 20 ++++++++++++-------
 docs/docs/02-benchmarks/model-size.md         | 11 ++++++++++
 .../useInstanceSegmentation.md                | 15 +++++++-------
 .../common/rnexecutorch/models/VisionModel.h  | 13 +-----------
 5 files changed, 33 insertions(+), 27 deletions(-)

diff --git a/apps/computer-vision/app/index.tsx b/apps/computer-vision/app/index.tsx
index 98ba78c967..6c7c24bf21 100644
--- a/apps/computer-vision/app/index.tsx
+++ b/apps/computer-vision/app/index.tsx
@@ -41,7 +41,6 @@ export default function Home() {
         >
           <Text style={styles.buttonText}>Object Detection Live</Text>
         </TouchableOpacity>
-        <TouchableOpacity style={styles.button}></TouchableOpacity>
         <TouchableOpacity
           style={styles.button}
           onPress={() => router.navigate('instance_segmentation/')}
diff --git a/docs/docs/02-benchmarks/memory-usage.md b/docs/docs/02-benchmarks/memory-usage.md
index 93f01b454c..0ad6e7a11d 100644
--- a/docs/docs/02-benchmarks/memory-usage.md
+++ b/docs/docs/02-benchmarks/memory-usage.md
@@ -169,17 +169,23 @@ with higher resolutions.
 
 ## Instance Segmentation
 
+:::info
+All the below benchmarks were performed on iPhone 17 Pro (iOS) and OnePlus 12
+(Android).
+:::
+
 :::warning
 Data presented in the following sections is based on inference with forward_640 method.
 :::
 
-| Model       | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
-| ----------- | ---------------------- | ------------------ |
-| YOLO26N_SEG | 92                     | 668                |
-| YOLO26S_SEG | 220                    | 712                |
-| YOLO26M_SEG | 570                    | 815                |
-| YOLO26L_SEG | 680                    | 1024               |
-| YOLO26X_SEG | 1410                   | 1450               |
+| Model            | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
+| ---------------- | ---------------------- | ------------------ |
+| YOLO26N_SEG      | 92                     | 668                |
+| YOLO26S_SEG      | 220                    | 712                |
+| YOLO26M_SEG      | 570                    | 815                |
+| YOLO26L_SEG      | 680                    | 1024               |
+| YOLO26X_SEG      | 1410                   | 1450               |
+| RF_DETR_NANO_SEG | 620                    | 603                |
 
 ## Text to image
 
diff --git a/docs/docs/02-benchmarks/model-size.md b/docs/docs/02-benchmarks/model-size.md
index 8dcfbbf45a..38ea9e7a6e 100644
--- a/docs/docs/02-benchmarks/model-size.md
+++ b/docs/docs/02-benchmarks/model-size.md
@@ -14,6 +14,17 @@ title: Model Size
 | ------------------------------ | :---------------: | :---------------: | :---------------: |
 | SSDLITE_320_MOBILENET_V3_LARGE |       13.9        |       15.6        |       8.46        |
 
+## Instance Segmentation
+
+| Model            | XNNPACK [MB] |
+| ---------------- | :----------: |
+| YOLO26N_SEG      |     11.6     |
+| YOLO26S_SEG      |     42.3     |
+| YOLO26M_SEG      |     95.4     |
+| YOLO26L_SEG      |     113      |
+| YOLO26X_SEG      |     252      |
+| RF_DETR_NANO_SEG |     124      |
+
 ## Style Transfer
 
 | Model                        | XNNPACK FP32 [MB] | XNNPACK INT8 [MB] | Core ML FP32 [MB] | Core ML FP16 [MB] |
diff --git a/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md b/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
index 45c9bb504b..7b1f45037c 100644
--- a/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
+++ b/docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md
@@ -118,10 +118,11 @@ function App() {
 YOLO models use the [`CocoLabelYolo`](../../06-api-reference/enumerations/CocoLabelYolo.md) enum (80 classes, 0-indexed), which differs from [`CocoLabel`](../../06-api-reference/enumerations/CocoLabel.md) used by RF-DETR and SSDLite object detection models (91 classes, 1-indexed). When filtering with `classesOfInterest`, use the label names from `CocoLabelYolo`.
 :::
 
-| Model       | Number of classes | Class list                                                          | Available input sizes |
-| ----------- | ----------------- | ------------------------------------------------------------------- | --------------------- |
-| yolo26n-seg | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
-| yolo26s-seg | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
-| yolo26m-seg | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
-| yolo26l-seg | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
-| yolo26x-seg | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
+| Model           | Number of classes | Class list                                                          | Available input sizes |
+| --------------- | ----------------- | ------------------------------------------------------------------- | --------------------- |
+| yolo26n-seg     | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
+| yolo26s-seg     | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
+| yolo26m-seg     | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
+| yolo26l-seg     | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
+| yolo26x-seg     | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
+| rfdetr-nano-seg | 91                | [COCO](../../06-api-reference/enumerations/CocoLabel.md)            | N/A                   |
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/VisionModel.h b/packages/react-native-executorch/common/rnexecutorch/models/VisionModel.h
index b002584b5a..4ce9ee779f 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/VisionModel.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/VisionModel.h
@@ -90,10 +90,6 @@ class VisionModel : public BaseModel {
    */
   virtual cv::Mat preprocess(const cv::Mat &image) const;
 
-  /// Cached input tensor shape (getAllInputShapes()[0]).
-  /// Set once by each subclass constructor to avoid per-frame metadata lookups.
-  std::vector<int32_t> modelInputShape_;
-
   /**
    * @brief Get the spatial dimensions of the model input.
    *
@@ -101,14 +97,7 @@ class VisionModel : public BaseModel {
    * Subclasses may override this for models with dynamic or multiple input
    * sizes.
    */
-  virtual cv::Size modelInputSize() const {
-    if (modelInputShape_.size() < 2) {
-      return {0, 0};
-    }
-    return cv::Size(modelInputShape_[modelInputShape_.size() - 1],
-                    modelInputShape_[modelInputShape_.size() - 2]);
-  }
-
+  virtual cv::Size modelInputSize() const;
   /**
    * @brief Extract an RGB cv::Mat from a VisionCamera frame
    *

From 2b4ef62de91f8e109eab8368e208de1e8e2309d4 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Tue, 17 Mar 2026 12:03:49 +0100
Subject: [PATCH 50/56] Improve tests

---
 .../BaseInstanceSegmentation.cpp              |   4 +-
 .../integration/InstanceSegmentationTest.cpp  | 156 +++++++++-----
 .../integration/SemanticSegmentationTest.cpp  | 195 +++++++++++++-----
 .../common/rnexecutorch/tests/run_tests.sh    |   5 +-
 4 files changed, 261 insertions(+), 99 deletions(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index e66019b17e..2f14d5b964 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -40,7 +40,7 @@ cv::Size BaseInstanceSegmentation::modelInputSize() const {
     return VisionModel::modelInputSize();
   }
   const auto &shape = inputShapes[0];
-  return cv::Size(shape[shape.size() - 1], shape[shape.size() - 2]);
+  return cv::Size(shape[shape.size() - 2], shape[shape.size() - 1]);
 }
 
 std::vector<types::Instance> BaseInstanceSegmentation::runInference(
@@ -61,7 +61,7 @@ std::vector<types::Instance> BaseInstanceSegmentation::runInference(
 
   modelInputShape_ = inputShapes[0];
   const auto &shape = modelInputShape_;
-  cv::Size modelInputSize(shape[shape.size() - 1], shape[shape.size() - 2]);
+  cv::Size modelInputSize(shape[shape.size() - 2], shape[shape.size() - 1]);
   cv::Size originalSize(image.cols, image.rows);
 
   cv::Mat preprocessed = preprocess(image);
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp b/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
index 83a0827e86..088adb2130 100644
--- a/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
@@ -1,6 +1,9 @@
 #include "BaseModelTests.h"
+#include "VisionModelTests.h"
+#include <executorch/extension/tensor/tensor.h>
 #include <gtest/gtest.h>
 #include <rnexecutorch/Error.h>
+#include <rnexecutorch/host_objects/JSTensorViewIn.h>
 #include <rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h>
 #include <rnexecutorch/models/instance_segmentation/Types.h>
 
@@ -29,8 +32,8 @@ template <> struct ModelTraits<BaseInstanceSegmentation> {
   }
 
   static void callGenerate(ModelType &model) {
-    (void)model.generate(kValidTestImagePath, 0.5, 0.5, 100, {}, true,
-                         kMethodName);
+    (void)model.generateFromString(kValidTestImagePath, 0.5, 0.5, 100, {}, true,
+                                   kMethodName);
   }
 };
 } // namespace model_tests
@@ -38,88 +41,91 @@ template <> struct ModelTraits<BaseInstanceSegmentation> {
 using InstanceSegmentationTypes = ::testing::Types<BaseInstanceSegmentation>;
 INSTANTIATE_TYPED_TEST_SUITE_P(InstanceSegmentation, CommonModelTest,
                                InstanceSegmentationTypes);
+INSTANTIATE_TYPED_TEST_SUITE_P(InstanceSegmentation, VisionModelTest,
+                               InstanceSegmentationTypes);
 
 // ============================================================================
-// Generate tests (from string)
+// Model-specific tests
 // ============================================================================
 TEST(InstanceSegGenerateTests, InvalidImagePathThrows) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  EXPECT_THROW((void)model.generate("nonexistent_image.jpg", 0.5, 0.5, 100, {},
-                                    true, kMethodName),
+  EXPECT_THROW((void)model.generateFromString("nonexistent_image.jpg", 0.5, 0.5,
+                                              100, {}, true, kMethodName),
                RnExecutorchError);
 }
 
 TEST(InstanceSegGenerateTests, EmptyImagePathThrows) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  EXPECT_THROW((void)model.generate("", 0.5, 0.5, 100, {}, true, kMethodName),
-               RnExecutorchError);
+  EXPECT_THROW(
+      (void)model.generateFromString("", 0.5, 0.5, 100, {}, true, kMethodName),
+      RnExecutorchError);
 }
 
 TEST(InstanceSegGenerateTests, EmptyMethodNameThrows) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  EXPECT_THROW(
-      (void)model.generate(kValidTestImagePath, 0.5, 0.5, 100, {}, true, ""),
-      RnExecutorchError);
+  EXPECT_THROW((void)model.generateFromString(kValidTestImagePath, 0.5, 0.5,
+                                              100, {}, true, ""),
+               RnExecutorchError);
 }
 
 TEST(InstanceSegGenerateTests, NegativeConfidenceThrows) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  EXPECT_THROW((void)model.generate(kValidTestImagePath, -0.1, 0.5, 100, {},
-                                    true, kMethodName),
+  EXPECT_THROW((void)model.generateFromString(kValidTestImagePath, -0.1, 0.5,
+                                              100, {}, true, kMethodName),
                RnExecutorchError);
 }
 
 TEST(InstanceSegGenerateTests, ConfidenceAboveOneThrows) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  EXPECT_THROW((void)model.generate(kValidTestImagePath, 1.1, 0.5, 100, {},
-                                    true, kMethodName),
+  EXPECT_THROW((void)model.generateFromString(kValidTestImagePath, 1.1, 0.5,
+                                              100, {}, true, kMethodName),
                RnExecutorchError);
 }
 
 TEST(InstanceSegGenerateTests, NegativeIouThresholdThrows) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  EXPECT_THROW((void)model.generate(kValidTestImagePath, 0.5, -0.1, 100, {},
-                                    true, kMethodName),
+  EXPECT_THROW((void)model.generateFromString(kValidTestImagePath, 0.5, -0.1,
+                                              100, {}, true, kMethodName),
                RnExecutorchError);
 }
 
 TEST(InstanceSegGenerateTests, IouThresholdAboveOneThrows) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  EXPECT_THROW((void)model.generate(kValidTestImagePath, 0.5, 1.1, 100, {},
-                                    true, kMethodName),
+  EXPECT_THROW((void)model.generateFromString(kValidTestImagePath, 0.5, 1.1,
+                                              100, {}, true, kMethodName),
                RnExecutorchError);
 }
 
 TEST(InstanceSegGenerateTests, ValidImageReturnsResults) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  auto results =
-      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+  auto results = model.generateFromString(kValidTestImagePath, 0.3, 0.5, 100,
+                                          {}, true, kMethodName);
   EXPECT_FALSE(results.empty());
 }
 
 TEST(InstanceSegGenerateTests, HighThresholdReturnsFewerResults) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  auto lowResults =
-      model.generate(kValidTestImagePath, 0.1, 0.5, 100, {}, true, kMethodName);
-  auto highResults =
-      model.generate(kValidTestImagePath, 0.9, 0.5, 100, {}, true, kMethodName);
+  auto lowResults = model.generateFromString(kValidTestImagePath, 0.1, 0.5, 100,
+                                             {}, true, kMethodName);
+  auto highResults = model.generateFromString(kValidTestImagePath, 0.9, 0.5,
+                                              100, {}, true, kMethodName);
   EXPECT_GE(lowResults.size(), highResults.size());
 }
 
 TEST(InstanceSegGenerateTests, MaxInstancesLimitsResults) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  auto results =
-      model.generate(kValidTestImagePath, 0.1, 0.5, 2, {}, true, kMethodName);
+  auto results = model.generateFromString(kValidTestImagePath, 0.1, 0.5, 2, {},
+                                          true, kMethodName);
   EXPECT_LE(results.size(), 2u);
 }
 
@@ -129,8 +135,8 @@ TEST(InstanceSegGenerateTests, MaxInstancesLimitsResults) {
 TEST(InstanceSegResultTests, InstancesHaveValidBoundingBoxes) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  auto results =
-      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+  auto results = model.generateFromString(kValidTestImagePath, 0.3, 0.5, 100,
+                                          {}, true, kMethodName);
 
   for (const auto &inst : results) {
     EXPECT_LE(inst.x1, inst.x2);
@@ -143,8 +149,8 @@ TEST(InstanceSegResultTests, InstancesHaveValidBoundingBoxes) {
 TEST(InstanceSegResultTests, InstancesHaveValidScores) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  auto results =
-      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+  auto results = model.generateFromString(kValidTestImagePath, 0.3, 0.5, 100,
+                                          {}, true, kMethodName);
 
   for (const auto &inst : results) {
     EXPECT_GE(inst.score, 0.0f);
@@ -155,8 +161,8 @@ TEST(InstanceSegResultTests, InstancesHaveValidScores) {
 TEST(InstanceSegResultTests, InstancesHaveValidMasks) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  auto results =
-      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+  auto results = model.generateFromString(kValidTestImagePath, 0.3, 0.5, 100,
+                                          {}, true, kMethodName);
 
   for (const auto &inst : results) {
     EXPECT_GT(inst.maskWidth, 0);
@@ -174,8 +180,8 @@ TEST(InstanceSegResultTests, InstancesHaveValidMasks) {
 TEST(InstanceSegResultTests, InstancesHaveValidClassIndices) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  auto results =
-      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+  auto results = model.generateFromString(kValidTestImagePath, 0.3, 0.5, 100,
+                                          {}, true, kMethodName);
 
   for (const auto &inst : results) {
     EXPECT_GE(inst.classIndex, 0);
@@ -191,8 +197,8 @@ TEST(InstanceSegFilterTests, ClassFilterReturnsOnlyMatchingClasses) {
                                  nullptr);
   // Filter to class index 0 (PERSON in CocoLabelYolo)
   std::vector<int32_t> classIndices = {0};
-  auto results = model.generate(kValidTestImagePath, 0.3, 0.5, 100,
-                                classIndices, true, kMethodName);
+  auto results = model.generateFromString(kValidTestImagePath, 0.3, 0.5, 100,
+                                          classIndices, true, kMethodName);
 
   for (const auto &inst : results) {
     EXPECT_EQ(inst.classIndex, 0);
@@ -202,12 +208,12 @@ TEST(InstanceSegFilterTests, ClassFilterReturnsOnlyMatchingClasses) {
 TEST(InstanceSegFilterTests, EmptyFilterReturnsAllClasses) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  auto allResults =
-      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+  auto allResults = model.generateFromString(kValidTestImagePath, 0.3, 0.5, 100,
+                                             {}, true, kMethodName);
   EXPECT_FALSE(allResults.empty());
 
-  auto noResults = model.generate(kValidTestImagePath, 0.3, 0.5, 100, {50},
-                                  true, kMethodName);
+  auto noResults = model.generateFromString(kValidTestImagePath, 0.3, 0.5, 100,
+                                            {50}, true, kMethodName);
   EXPECT_TRUE(noResults.empty());
 }
 
@@ -217,10 +223,10 @@ TEST(InstanceSegFilterTests, EmptyFilterReturnsAllClasses) {
 TEST(InstanceSegMaskTests, LowResMaskIsSmallerThanOriginal) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
-  auto hiRes =
-      model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
-  auto loRes = model.generate(kValidTestImagePath, 0.3, 0.5, 100, {}, false,
-                              kMethodName);
+  auto hiRes = model.generateFromString(kValidTestImagePath, 0.3, 0.5, 100, {},
+                                        true, kMethodName);
+  auto loRes = model.generateFromString(kValidTestImagePath, 0.3, 0.5, 100, {},
+                                        false, kMethodName);
 
   if (!hiRes.empty() && !loRes.empty()) {
     EXPECT_LE(loRes[0].mask->size(), hiRes[0].mask->size());
@@ -244,9 +250,67 @@ TEST(InstanceSegNMSTests, NMSEnabledReturnsFewerOrEqualResults) {
   EXPECT_LE(nmsResults.size(), noNmsResults.size());
 }
 
+// ============================================================================
+// generateFromPixels tests
+// ============================================================================
+TEST(InstanceSegPixelTests, ValidPixelDataReturnsResults) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  constexpr int32_t width = 4, height = 4, channels = 3;
+  std::vector<uint8_t> pixelData(width * height * channels, 128);
+  JSTensorViewIn tensorView{pixelData.data(),
+                            {height, width, channels},
+                            executorch::aten::ScalarType::Byte};
+  auto results = model.generateFromPixels(tensorView, 0.3, 0.5, 100, {}, true,
+                                          kMethodName);
+  EXPECT_GE(results.size(), 0u);
+}
+
+TEST(InstanceSegPixelTests, NegativeConfidenceThrows) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  constexpr int32_t width = 4, height = 4, channels = 3;
+  std::vector<uint8_t> pixelData(width * height * channels, 128);
+  JSTensorViewIn tensorView{pixelData.data(),
+                            {height, width, channels},
+                            executorch::aten::ScalarType::Byte};
+  EXPECT_THROW((void)model.generateFromPixels(tensorView, -0.1, 0.5, 100, {},
+                                              true, kMethodName),
+               RnExecutorchError);
+}
+
+TEST(InstanceSegPixelTests, ConfidenceAboveOneThrows) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  constexpr int32_t width = 4, height = 4, channels = 3;
+  std::vector<uint8_t> pixelData(width * height * channels, 128);
+  JSTensorViewIn tensorView{pixelData.data(),
+                            {height, width, channels},
+                            executorch::aten::ScalarType::Byte};
+  EXPECT_THROW((void)model.generateFromPixels(tensorView, 1.1, 0.5, 100, {},
+                                              true, kMethodName),
+               RnExecutorchError);
+}
+
 // ============================================================================
 // Inherited method tests
 // ============================================================================
+TEST(InstanceSegInheritedTests, GetInputShapeWorks) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  auto shape = model.getInputShape(kMethodName, 0);
+  EXPECT_EQ(shape.size(), 4);
+  EXPECT_EQ(shape[0], 1);
+  EXPECT_EQ(shape[1], 3);
+}
+
+TEST(InstanceSegInheritedTests, GetAllInputShapesWorks) {
+  BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
+                                 nullptr);
+  auto shapes = model.getAllInputShapes(kMethodName);
+  EXPECT_FALSE(shapes.empty());
+}
+
 TEST(InstanceSegInheritedTests, GetMethodMetaWorks) {
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, {}, {}, true,
                                  nullptr);
@@ -269,6 +333,6 @@ TEST(InstanceSegNormTests, ValidNormParamsGenerateSucceeds) {
   const std::vector<float> std = {0.229f, 0.224f, 0.225f};
   BaseInstanceSegmentation model(kValidInstanceSegModelPath, mean, std, true,
                                  nullptr);
-  EXPECT_NO_THROW((void)model.generate(kValidTestImagePath, 0.5, 0.5, 100, {},
-                                       true, kMethodName));
+  EXPECT_NO_THROW((void)model.generateFromString(kValidTestImagePath, 0.5, 0.5,
+                                                 100, {}, true, kMethodName));
 }
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/SemanticSegmentationTest.cpp b/packages/react-native-executorch/common/rnexecutorch/tests/integration/SemanticSegmentationTest.cpp
index 957421f091..54e1e89f1f 100644
--- a/packages/react-native-executorch/common/rnexecutorch/tests/integration/SemanticSegmentationTest.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/SemanticSegmentationTest.cpp
@@ -1,24 +1,62 @@
+#include "BaseModelTests.h"
+#include "VisionModelTests.h"
 #include <executorch/extension/tensor/tensor.h>
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
 #include <gtest/gtest.h>
 #include <rnexecutorch/Error.h>
 #include <rnexecutorch/host_objects/JSTensorViewIn.h>
+#include <rnexecutorch/models/semantic_segmentation/BaseBaseSemanticSegmentation.h>
 #include <rnexecutorch/models/semantic_segmentation/Constants.h>
-#include <rnexecutorch/models/semantic_segmentation/SemanticSegmentation.h>
 #include <string>
 #include <vector>
 
 using namespace rnexecutorch;
 using namespace rnexecutorch::models::semantic_segmentation;
+using namespace model_tests;
 using executorch::extension::make_tensor_ptr;
 using executorch::extension::TensorPtr;
 using executorch::runtime::EValue;
 
-constexpr auto kValidSemanticSegmentationModelPath =
+constexpr auto kValidBaseSemanticSegmentationModelPath =
     "deeplabV3_xnnpack_fp32.pte";
 constexpr auto kValidTestImagePath =
     "file:///data/local/tmp/rnexecutorch_tests/test_image.jpg";
 
+// ============================================================================
+// Common tests via typed test suite
+// ============================================================================
+namespace model_tests {
+template <> struct ModelTraits<BaseSemanticSegmentation> {
+  using ModelType = BaseSemanticSegmentation;
+
+  static ModelType createValid() {
+    return ModelType(
+        kValidBaseSemanticSegmentationModelPath, {}, {},
+        std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
+                                 constants::kDeeplabV3Resnet50Labels.end()),
+        nullptr);
+  }
+
+  static ModelType createInvalid() {
+    return ModelType("nonexistent.pte", {}, {}, {}, nullptr);
+  }
+
+  static void callGenerate(ModelType &model) {
+    (void)model.generateFromString(kValidTestImagePath, {}, true);
+  }
+};
+} // namespace model_tests
+
+using BaseSemanticSegmentationTypes =
+    ::testing::Types<BaseSemanticSegmentation>;
+INSTANTIATE_TYPED_TEST_SUITE_P(BaseSemanticSegmentation, CommonModelTest,
+                               BaseSemanticSegmentationTypes);
+INSTANTIATE_TYPED_TEST_SUITE_P(BaseSemanticSegmentation, VisionModelTest,
+                               BaseSemanticSegmentationTypes);
+
+// ============================================================================
+// Helper functions
+// ============================================================================
 static JSTensorViewIn makeRgbView(std::vector<uint8_t> &buf, int32_t h,
                                   int32_t w) {
   buf.assign(static_cast<size_t>(h * w * 3), 128);
@@ -26,12 +64,17 @@ static JSTensorViewIn makeRgbView(std::vector<uint8_t> &buf, int32_t h,
       buf.data(), {h, w, 3}, executorch::aten::ScalarType::Byte};
 }
 
-// Test fixture for tests that need dummy input data
-class SemanticSegmentationForwardTest : public ::testing::Test {
+// ============================================================================
+// Test fixture for forward() tests
+// ============================================================================
+class BaseSemanticSegmentationForwardTest : public ::testing::Test {
 protected:
   void SetUp() override {
-    model = std::make_unique<SemanticSegmentation>(
-        kValidSemanticSegmentationModelPath, nullptr);
+    model = std::make_unique<BaseSemanticSegmentation>(
+        kValidBaseSemanticSegmentationModelPath, {}, {},
+        std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
+                                 constants::kDeeplabV3Resnet50Labels.end()),
+        nullptr);
     auto shapes = model->getAllInputShapes("forward");
     ASSERT_FALSE(shapes.empty());
     shape = shapes[0];
@@ -47,29 +90,36 @@ class SemanticSegmentationForwardTest : public ::testing::Test {
         make_tensor_ptr(sizes, dummyData.data(), exec_aten::ScalarType::Float);
   }
 
-  std::unique_ptr<SemanticSegmentation> model;
+  std::unique_ptr<BaseSemanticSegmentation> model;
   std::vector<int32_t> shape;
   std::vector<float> dummyData;
   std::vector<int32_t> sizes;
   TensorPtr inputTensor;
 };
 
-TEST(SemanticSegmentationCtorTests, InvalidPathThrows) {
-  EXPECT_THROW(SemanticSegmentation("this_file_does_not_exist.pte", nullptr),
+// ============================================================================
+// Model-specific tests
+// ============================================================================
+TEST(BaseSemanticSegmentationCtorTests, InvalidPathThrows) {
+  EXPECT_THROW(BaseSemanticSegmentation("this_file_does_not_exist.pte", {}, {},
+                                        {}, nullptr),
                RnExecutorchError);
 }
 
-TEST(SemanticSegmentationCtorTests, ValidPathDoesntThrow) {
-  EXPECT_NO_THROW(
-      SemanticSegmentation(kValidSemanticSegmentationModelPath, nullptr));
+TEST(BaseSemanticSegmentationCtorTests, ValidPathDoesntThrow) {
+  EXPECT_NO_THROW(BaseSemanticSegmentation(
+      kValidBaseSemanticSegmentationModelPath, {}, {},
+      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
+                               constants::kDeeplabV3Resnet50Labels.end()),
+      nullptr));
 }
 
-TEST_F(SemanticSegmentationForwardTest, ForwardWithValidTensorSucceeds) {
+TEST_F(BaseSemanticSegmentationForwardTest, ForwardWithValidTensorSucceeds) {
   auto result = model->forward(EValue(inputTensor));
   EXPECT_TRUE(result.ok());
 }
 
-TEST_F(SemanticSegmentationForwardTest, ForwardOutputHasCorrectDimensions) {
+TEST_F(BaseSemanticSegmentationForwardTest, ForwardOutputHasCorrectDimensions) {
   auto result = model->forward(EValue(inputTensor));
   ASSERT_TRUE(result.ok());
 
@@ -80,7 +130,7 @@ TEST_F(SemanticSegmentationForwardTest, ForwardOutputHasCorrectDimensions) {
   EXPECT_EQ(outputTensor.dim(), 4); // NCHW format
 }
 
-TEST_F(SemanticSegmentationForwardTest, ForwardOutputHas21Classes) {
+TEST_F(BaseSemanticSegmentationForwardTest, ForwardOutputHas21Classes) {
   auto result = model->forward(EValue(inputTensor));
   ASSERT_TRUE(result.ok());
 
@@ -91,7 +141,7 @@ TEST_F(SemanticSegmentationForwardTest, ForwardOutputHas21Classes) {
   EXPECT_EQ(outputTensor.size(1), 21); // DeepLabV3 has 21 classes
 }
 
-TEST_F(SemanticSegmentationForwardTest, MultipleForwardsWork) {
+TEST_F(BaseSemanticSegmentationForwardTest, MultipleForwardsWork) {
   auto result1 = model->forward(EValue(inputTensor));
   EXPECT_TRUE(result1.ok());
 
@@ -99,7 +149,7 @@ TEST_F(SemanticSegmentationForwardTest, MultipleForwardsWork) {
   EXPECT_TRUE(result2.ok());
 }
 
-TEST_F(SemanticSegmentationForwardTest, ForwardAfterUnloadThrows) {
+TEST_F(BaseSemanticSegmentationForwardTest, ForwardAfterUnloadThrows) {
   model->unload();
   EXPECT_THROW((void)model->forward(EValue(inputTensor)), RnExecutorchError);
 }
@@ -107,41 +157,65 @@ TEST_F(SemanticSegmentationForwardTest, ForwardAfterUnloadThrows) {
 // ============================================================================
 // generateFromString tests
 // ============================================================================
-TEST(SemanticSegmentationGenerateTests, InvalidImagePathThrows) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationGenerateTests, InvalidImagePathThrows) {
+  BaseSemanticSegmentation model(
+      kValidBaseSemanticSegmentationModelPath, {}, {},
+      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
+                               constants::kDeeplabV3Resnet50Labels.end()),
+      nullptr);
   EXPECT_THROW(
       (void)model.generateFromString("nonexistent_image.jpg", {}, true),
       RnExecutorchError);
 }
 
-TEST(SemanticSegmentationGenerateTests, EmptyImagePathThrows) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationGenerateTests, EmptyImagePathThrows) {
+  BaseSemanticSegmentation model(
+      kValidBaseSemanticSegmentationModelPath, {}, {},
+      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
+                               constants::kDeeplabV3Resnet50Labels.end()),
+      nullptr);
   EXPECT_THROW((void)model.generateFromString("", {}, true), RnExecutorchError);
 }
 
-TEST(SemanticSegmentationGenerateTests, MalformedURIThrows) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationGenerateTests, MalformedURIThrows) {
+  BaseSemanticSegmentation model(
+      kValidBaseSemanticSegmentationModelPath, {}, {},
+      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
+                               constants::kDeeplabV3Resnet50Labels.end()),
+      nullptr);
   EXPECT_THROW(
       (void)model.generateFromString("not_a_valid_uri://bad", {}, true),
       RnExecutorchError);
 }
 
-TEST(SemanticSegmentationGenerateTests, ValidImageNoFilterReturnsResult) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationGenerateTests, ValidImageNoFilterReturnsResult) {
+  BaseSemanticSegmentation model(
+      kValidBaseSemanticSegmentationModelPath, {}, {},
+      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
+                               constants::kDeeplabV3Resnet50Labels.end()),
+      nullptr);
   auto result = model.generateFromString(kValidTestImagePath, {}, true);
   EXPECT_NE(result.argmax, nullptr);
   EXPECT_NE(result.classBuffers, nullptr);
 }
 
-TEST(SemanticSegmentationGenerateTests, ValidImageReturnsAllClasses) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationGenerateTests, ValidImageReturnsAllClasses) {
+  BaseSemanticSegmentation model(
+      kValidBaseSemanticSegmentationModelPath, {}, {},
+      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
+                               constants::kDeeplabV3Resnet50Labels.end()),
+      nullptr);
   auto result = model.generateFromString(kValidTestImagePath, {}, true);
   ASSERT_NE(result.classBuffers, nullptr);
   EXPECT_EQ(result.classBuffers->size(), 21u);
 }
 
-TEST(SemanticSegmentationGenerateTests, ClassFilterLimitsClassBuffers) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationGenerateTests, ClassFilterLimitsClassBuffers) {
+  BaseSemanticSegmentation model(
+      kValidBaseSemanticSegmentationModelPath, {}, {},
+      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
+                               constants::kDeeplabV3Resnet50Labels.end()),
+      nullptr);
   std::set<std::string, std::less<>> filter = {"PERSON", "CAT"};
   auto result = model.generateFromString(kValidTestImagePath, filter, true);
   ASSERT_NE(result.classBuffers, nullptr);
@@ -151,8 +225,12 @@ TEST(SemanticSegmentationGenerateTests, ClassFilterLimitsClassBuffers) {
   }
 }
 
-TEST(SemanticSegmentationGenerateTests, ResizeFalseReturnsResult) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationGenerateTests, ResizeFalseReturnsResult) {
+  BaseSemanticSegmentation model(
+      kValidBaseSemanticSegmentationModelPath, {}, {},
+      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
+                               constants::kDeeplabV3Resnet50Labels.end()),
+      nullptr);
   auto result = model.generateFromString(kValidTestImagePath, {}, false);
   EXPECT_NE(result.argmax, nullptr);
 }
@@ -160,8 +238,12 @@ TEST(SemanticSegmentationGenerateTests, ResizeFalseReturnsResult) {
 // ============================================================================
 // generateFromPixels tests
 // ============================================================================
-TEST(SemanticSegmentationPixelTests, ValidPixelsNoFilterReturnsResult) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationPixelTests, ValidPixelsNoFilterReturnsResult) {
+  BaseSemanticSegmentation model(
+      kValidBaseSemanticSegmentationModelPath, {}, {},
+      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
+                               constants::kDeeplabV3Resnet50Labels.end()),
+      nullptr);
   std::vector<uint8_t> buf;
   auto view = makeRgbView(buf, 64, 64);
   auto result = model.generateFromPixels(view, {}, true);
@@ -169,8 +251,12 @@ TEST(SemanticSegmentationPixelTests, ValidPixelsNoFilterReturnsResult) {
   EXPECT_NE(result.classBuffers, nullptr);
 }
 
-TEST(SemanticSegmentationPixelTests, ValidPixelsReturnsAllClasses) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationPixelTests, ValidPixelsReturnsAllClasses) {
+  BaseSemanticSegmentation model(
+      kValidBaseSemanticSegmentationModelPath, {}, {},
+      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
+                               constants::kDeeplabV3Resnet50Labels.end()),
+      nullptr);
   std::vector<uint8_t> buf;
   auto view = makeRgbView(buf, 64, 64);
   auto result = model.generateFromPixels(view, {}, true);
@@ -178,8 +264,12 @@ TEST(SemanticSegmentationPixelTests, ValidPixelsReturnsAllClasses) {
   EXPECT_EQ(result.classBuffers->size(), 21u);
 }
 
-TEST(SemanticSegmentationPixelTests, ClassFilterLimitsClassBuffers) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationPixelTests, ClassFilterLimitsClassBuffers) {
+  BaseSemanticSegmentation model(
+      kValidBaseSemanticSegmentationModelPath, {}, {},
+      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
+                               constants::kDeeplabV3Resnet50Labels.end()),
+      nullptr);
   std::vector<uint8_t> buf;
   auto view = makeRgbView(buf, 64, 64);
   std::set<std::string, std::less<>> filter = {"PERSON"};
@@ -193,33 +283,39 @@ TEST(SemanticSegmentationPixelTests, ClassFilterLimitsClassBuffers) {
 // ============================================================================
 // Inherited BaseModel tests
 // ============================================================================
-TEST(SemanticSegmentationInheritedTests, GetInputShapeWorks) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationInheritedTests, GetInputShapeWorks) {
+  BaseSemanticSegmentation model(kValidBaseSemanticSegmentationModelPath,
+                                 nullptr);
   auto shape = model.getInputShape("forward", 0);
   EXPECT_EQ(shape.size(), 4);
   EXPECT_EQ(shape[0], 1); // Batch size
   EXPECT_EQ(shape[1], 3); // RGB channels
 }
 
-TEST(SemanticSegmentationInheritedTests, GetAllInputShapesWorks) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationInheritedTests, GetAllInputShapesWorks) {
+  BaseSemanticSegmentation model(kValidBaseSemanticSegmentationModelPath,
+                                 nullptr);
   auto shapes = model.getAllInputShapes("forward");
   EXPECT_FALSE(shapes.empty());
 }
 
-TEST(SemanticSegmentationInheritedTests, GetMethodMetaWorks) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationInheritedTests, GetMethodMetaWorks) {
+  BaseSemanticSegmentation model(kValidBaseSemanticSegmentationModelPath,
+                                 nullptr);
   auto result = model.getMethodMeta("forward");
   EXPECT_TRUE(result.ok());
 }
 
-TEST(SemanticSegmentationInheritedTests, GetMemoryLowerBoundReturnsPositive) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationInheritedTests,
+     GetMemoryLowerBoundReturnsPositive) {
+  BaseSemanticSegmentation model(kValidBaseSemanticSegmentationModelPath,
+                                 nullptr);
   EXPECT_GT(model.getMemoryLowerBound(), 0u);
 }
 
-TEST(SemanticSegmentationInheritedTests, InputShapeIsSquare) {
-  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
+TEST(BaseSemanticSegmentationInheritedTests, InputShapeIsSquare) {
+  BaseSemanticSegmentation model(kValidBaseSemanticSegmentationModelPath,
+                                 nullptr);
   auto shape = model.getInputShape("forward", 0);
   EXPECT_EQ(shape[2], shape[3]); // Height == Width for DeepLabV3
 }
@@ -227,11 +323,12 @@ TEST(SemanticSegmentationInheritedTests, InputShapeIsSquare) {
 // ============================================================================
 // Constants tests
 // ============================================================================
-TEST(SemanticSegmentationConstantsTests, ClassLabelsHas21Entries) {
+TEST(BaseSemanticSegmentationConstantsTests, ClassLabelsHas21Entries) {
   EXPECT_EQ(constants::kDeeplabV3Resnet50Labels.size(), 21u);
 }
 
-TEST(SemanticSegmentationConstantsTests, ClassLabelsContainExpectedClasses) {
+TEST(BaseSemanticSegmentationConstantsTests,
+     ClassLabelsContainExpectedClasses) {
   auto &labels = constants::kDeeplabV3Resnet50Labels;
   bool hasBackground = false;
   bool hasPerson = false;
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/run_tests.sh b/packages/react-native-executorch/common/rnexecutorch/tests/run_tests.sh
index 28bfaf4b26..eb43bf6cc7 100755
--- a/packages/react-native-executorch/common/rnexecutorch/tests/run_tests.sh
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/run_tests.sh
@@ -15,13 +15,14 @@ MODELS_DIR="$SCRIPT_DIR/integration/assets/models"
 # Test executables
 # ============================================================================
 TEST_EXECUTABLES=(
-    <<<<<<< HEAD
     "NumericalTests"
     "RunnerTests"
     "LogTests"
     "FileUtilsTest"
     "ImageProcessingTest"
+    "FrameProcessorTests"
     "BaseModelTests"
+    "VisionModelTests"
     "ClassificationTests"
     "ObjectDetectionTests"
     "ImageEmbeddingsTests"
@@ -32,8 +33,8 @@ TEST_EXECUTABLES=(
     "SpeechToTextTests"
     "TextToSpeechTests"
     "LLMTests"
-    "ImageSegmentationTests"
     "TextToImageTests"
+    "InstanceSegmentationTests"
     "OCRTests"
     "VerticalOCRTests"
 )

From 3dd47a519a7881332c9a107586e1c69b3b913230 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Tue, 17 Mar 2026 14:22:25 +0100
Subject: [PATCH 51/56] Update tests

---
 .../common/rnexecutorch/tests/CMakeLists.txt  |   6 +-
 .../integration/InstanceSegmentationTest.cpp  |  16 +-
 .../tests/integration/ObjectDetectionTest.cpp |   8 +-
 .../integration/SemanticSegmentationTest.cpp  | 195 +++++-------------
 4 files changed, 66 insertions(+), 159 deletions(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/CMakeLists.txt b/packages/react-native-executorch/common/rnexecutorch/tests/CMakeLists.txt
index b74c7b1284..84fcc3200d 100644
--- a/packages/react-native-executorch/common/rnexecutorch/tests/CMakeLists.txt
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/CMakeLists.txt
@@ -189,10 +189,10 @@ add_rn_test(ClassificationTests integration/ClassificationTest.cpp
 add_rn_test(ObjectDetectionTests integration/ObjectDetectionTest.cpp
     SOURCES
         ${RNEXECUTORCH_DIR}/models/object_detection/ObjectDetection.cpp
-        ${RNEXECUTORCH_DIR}/models/object_detection/Utils.cpp
         ${RNEXECUTORCH_DIR}/models/VisionModel.cpp
         ${RNEXECUTORCH_DIR}/utils/FrameProcessor.cpp
         ${RNEXECUTORCH_DIR}/utils/FrameExtractor.cpp
+        ${RNEXECUTORCH_DIR}/utils/computer_vision/Processing.cpp
         ${IMAGE_UTILS_SOURCES}
     LIBS opencv_deps android
 )
@@ -292,6 +292,10 @@ add_rn_test(TextToImageTests integration/TextToImageTest.cpp
 add_rn_test(InstanceSegmentationTests integration/InstanceSegmentationTest.cpp
     SOURCES
         ${RNEXECUTORCH_DIR}/models/instance_segmentation/BaseInstanceSegmentation.cpp
+        ${RNEXECUTORCH_DIR}/models/VisionModel.cpp
+        ${RNEXECUTORCH_DIR}/utils/FrameProcessor.cpp
+        ${RNEXECUTORCH_DIR}/utils/FrameExtractor.cpp
+        ${RNEXECUTORCH_DIR}/utils/computer_vision/Processing.cpp
         ${IMAGE_UTILS_SOURCES}
     LIBS opencv_deps android
 )
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp b/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
index 088adb2130..cd5262fc0f 100644
--- a/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/InstanceSegmentationTest.cpp
@@ -139,10 +139,10 @@ TEST(InstanceSegResultTests, InstancesHaveValidBoundingBoxes) {
                                           {}, true, kMethodName);
 
   for (const auto &inst : results) {
-    EXPECT_LE(inst.x1, inst.x2);
-    EXPECT_LE(inst.y1, inst.y2);
-    EXPECT_GE(inst.x1, 0.0f);
-    EXPECT_GE(inst.y1, 0.0f);
+    EXPECT_LE(inst.bbox.x1, inst.bbox.x2);
+    EXPECT_LE(inst.bbox.y1, inst.bbox.y2);
+    EXPECT_GE(inst.bbox.x1, 0.0f);
+    EXPECT_GE(inst.bbox.y1, 0.0f);
   }
 }
 
@@ -242,10 +242,10 @@ TEST(InstanceSegNMSTests, NMSEnabledReturnsFewerOrEqualResults) {
   BaseInstanceSegmentation modelWithoutNMS(kValidInstanceSegModelPath, {}, {},
                                            false, nullptr);
 
-  auto nmsResults = modelWithNMS.generate(kValidTestImagePath, 0.3, 0.5, 100,
-                                          {}, true, kMethodName);
-  auto noNmsResults = modelWithoutNMS.generate(kValidTestImagePath, 0.3, 0.5,
-                                               100, {}, true, kMethodName);
+  auto nmsResults = modelWithNMS.generateFromString(
+      kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
+  auto noNmsResults = modelWithoutNMS.generateFromString(
+      kValidTestImagePath, 0.3, 0.5, 100, {}, true, kMethodName);
 
   EXPECT_LE(nmsResults.size(), noNmsResults.size());
 }
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/ObjectDetectionTest.cpp b/packages/react-native-executorch/common/rnexecutorch/tests/integration/ObjectDetectionTest.cpp
index 6222f6d682..de36b3c545 100644
--- a/packages/react-native-executorch/common/rnexecutorch/tests/integration/ObjectDetectionTest.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/ObjectDetectionTest.cpp
@@ -120,10 +120,10 @@ TEST(ObjectDetectionGenerateTests, DetectionsHaveValidBoundingBoxes) {
   auto results = model.generateFromString(kValidTestImagePath, 0.3);
 
   for (const auto &detection : results) {
-    EXPECT_LE(detection.x1, detection.x2);
-    EXPECT_LE(detection.y1, detection.y2);
-    EXPECT_GE(detection.x1, 0.0f);
-    EXPECT_GE(detection.y1, 0.0f);
+    EXPECT_LE(detection.bbox.x1, detection.bbox.x2);
+    EXPECT_LE(detection.bbox.y1, detection.bbox.y2);
+    EXPECT_GE(detection.bbox.x1, 0.0f);
+    EXPECT_GE(detection.bbox.y1, 0.0f);
   }
 }
 
diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/integration/SemanticSegmentationTest.cpp b/packages/react-native-executorch/common/rnexecutorch/tests/integration/SemanticSegmentationTest.cpp
index 54e1e89f1f..957421f091 100644
--- a/packages/react-native-executorch/common/rnexecutorch/tests/integration/SemanticSegmentationTest.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/integration/SemanticSegmentationTest.cpp
@@ -1,62 +1,24 @@
-#include "BaseModelTests.h"
-#include "VisionModelTests.h"
 #include <executorch/extension/tensor/tensor.h>
 #include <executorch/runtime/core/exec_aten/exec_aten.h>
 #include <gtest/gtest.h>
 #include <rnexecutorch/Error.h>
 #include <rnexecutorch/host_objects/JSTensorViewIn.h>
-#include <rnexecutorch/models/semantic_segmentation/BaseBaseSemanticSegmentation.h>
 #include <rnexecutorch/models/semantic_segmentation/Constants.h>
+#include <rnexecutorch/models/semantic_segmentation/SemanticSegmentation.h>
 #include <string>
 #include <vector>
 
 using namespace rnexecutorch;
 using namespace rnexecutorch::models::semantic_segmentation;
-using namespace model_tests;
 using executorch::extension::make_tensor_ptr;
 using executorch::extension::TensorPtr;
 using executorch::runtime::EValue;
 
-constexpr auto kValidBaseSemanticSegmentationModelPath =
+constexpr auto kValidSemanticSegmentationModelPath =
     "deeplabV3_xnnpack_fp32.pte";
 constexpr auto kValidTestImagePath =
     "file:///data/local/tmp/rnexecutorch_tests/test_image.jpg";
 
-// ============================================================================
-// Common tests via typed test suite
-// ============================================================================
-namespace model_tests {
-template <> struct ModelTraits<BaseSemanticSegmentation> {
-  using ModelType = BaseSemanticSegmentation;
-
-  static ModelType createValid() {
-    return ModelType(
-        kValidBaseSemanticSegmentationModelPath, {}, {},
-        std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
-                                 constants::kDeeplabV3Resnet50Labels.end()),
-        nullptr);
-  }
-
-  static ModelType createInvalid() {
-    return ModelType("nonexistent.pte", {}, {}, {}, nullptr);
-  }
-
-  static void callGenerate(ModelType &model) {
-    (void)model.generateFromString(kValidTestImagePath, {}, true);
-  }
-};
-} // namespace model_tests
-
-using BaseSemanticSegmentationTypes =
-    ::testing::Types<BaseSemanticSegmentation>;
-INSTANTIATE_TYPED_TEST_SUITE_P(BaseSemanticSegmentation, CommonModelTest,
-                               BaseSemanticSegmentationTypes);
-INSTANTIATE_TYPED_TEST_SUITE_P(BaseSemanticSegmentation, VisionModelTest,
-                               BaseSemanticSegmentationTypes);
-
-// ============================================================================
-// Helper functions
-// ============================================================================
 static JSTensorViewIn makeRgbView(std::vector<uint8_t> &buf, int32_t h,
                                   int32_t w) {
   buf.assign(static_cast<size_t>(h * w * 3), 128);
@@ -64,17 +26,12 @@ static JSTensorViewIn makeRgbView(std::vector<uint8_t> &buf, int32_t h,
       buf.data(), {h, w, 3}, executorch::aten::ScalarType::Byte};
 }
 
-// ============================================================================
-// Test fixture for forward() tests
-// ============================================================================
-class BaseSemanticSegmentationForwardTest : public ::testing::Test {
+// Test fixture for tests that need dummy input data
+class SemanticSegmentationForwardTest : public ::testing::Test {
 protected:
   void SetUp() override {
-    model = std::make_unique<BaseSemanticSegmentation>(
-        kValidBaseSemanticSegmentationModelPath, {}, {},
-        std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
-                                 constants::kDeeplabV3Resnet50Labels.end()),
-        nullptr);
+    model = std::make_unique<SemanticSegmentation>(
+        kValidSemanticSegmentationModelPath, nullptr);
     auto shapes = model->getAllInputShapes("forward");
     ASSERT_FALSE(shapes.empty());
     shape = shapes[0];
@@ -90,36 +47,29 @@ class BaseSemanticSegmentationForwardTest : public ::testing::Test {
         make_tensor_ptr(sizes, dummyData.data(), exec_aten::ScalarType::Float);
   }
 
-  std::unique_ptr<BaseSemanticSegmentation> model;
+  std::unique_ptr<SemanticSegmentation> model;
   std::vector<int32_t> shape;
   std::vector<float> dummyData;
   std::vector<int32_t> sizes;
   TensorPtr inputTensor;
 };
 
-// ============================================================================
-// Model-specific tests
-// ============================================================================
-TEST(BaseSemanticSegmentationCtorTests, InvalidPathThrows) {
-  EXPECT_THROW(BaseSemanticSegmentation("this_file_does_not_exist.pte", {}, {},
-                                        {}, nullptr),
+TEST(SemanticSegmentationCtorTests, InvalidPathThrows) {
+  EXPECT_THROW(SemanticSegmentation("this_file_does_not_exist.pte", nullptr),
                RnExecutorchError);
 }
 
-TEST(BaseSemanticSegmentationCtorTests, ValidPathDoesntThrow) {
-  EXPECT_NO_THROW(BaseSemanticSegmentation(
-      kValidBaseSemanticSegmentationModelPath, {}, {},
-      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
-                               constants::kDeeplabV3Resnet50Labels.end()),
-      nullptr));
+TEST(SemanticSegmentationCtorTests, ValidPathDoesntThrow) {
+  EXPECT_NO_THROW(
+      SemanticSegmentation(kValidSemanticSegmentationModelPath, nullptr));
 }
 
-TEST_F(BaseSemanticSegmentationForwardTest, ForwardWithValidTensorSucceeds) {
+TEST_F(SemanticSegmentationForwardTest, ForwardWithValidTensorSucceeds) {
   auto result = model->forward(EValue(inputTensor));
   EXPECT_TRUE(result.ok());
 }
 
-TEST_F(BaseSemanticSegmentationForwardTest, ForwardOutputHasCorrectDimensions) {
+TEST_F(SemanticSegmentationForwardTest, ForwardOutputHasCorrectDimensions) {
   auto result = model->forward(EValue(inputTensor));
   ASSERT_TRUE(result.ok());
 
@@ -130,7 +80,7 @@ TEST_F(BaseSemanticSegmentationForwardTest, ForwardOutputHasCorrectDimensions) {
   EXPECT_EQ(outputTensor.dim(), 4); // NCHW format
 }
 
-TEST_F(BaseSemanticSegmentationForwardTest, ForwardOutputHas21Classes) {
+TEST_F(SemanticSegmentationForwardTest, ForwardOutputHas21Classes) {
   auto result = model->forward(EValue(inputTensor));
   ASSERT_TRUE(result.ok());
 
@@ -141,7 +91,7 @@ TEST_F(BaseSemanticSegmentationForwardTest, ForwardOutputHas21Classes) {
   EXPECT_EQ(outputTensor.size(1), 21); // DeepLabV3 has 21 classes
 }
 
-TEST_F(BaseSemanticSegmentationForwardTest, MultipleForwardsWork) {
+TEST_F(SemanticSegmentationForwardTest, MultipleForwardsWork) {
   auto result1 = model->forward(EValue(inputTensor));
   EXPECT_TRUE(result1.ok());
 
@@ -149,7 +99,7 @@ TEST_F(BaseSemanticSegmentationForwardTest, MultipleForwardsWork) {
   EXPECT_TRUE(result2.ok());
 }
 
-TEST_F(BaseSemanticSegmentationForwardTest, ForwardAfterUnloadThrows) {
+TEST_F(SemanticSegmentationForwardTest, ForwardAfterUnloadThrows) {
   model->unload();
   EXPECT_THROW((void)model->forward(EValue(inputTensor)), RnExecutorchError);
 }
@@ -157,65 +107,41 @@ TEST_F(BaseSemanticSegmentationForwardTest, ForwardAfterUnloadThrows) {
 // ============================================================================
 // generateFromString tests
 // ============================================================================
-TEST(BaseSemanticSegmentationGenerateTests, InvalidImagePathThrows) {
-  BaseSemanticSegmentation model(
-      kValidBaseSemanticSegmentationModelPath, {}, {},
-      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
-                               constants::kDeeplabV3Resnet50Labels.end()),
-      nullptr);
+TEST(SemanticSegmentationGenerateTests, InvalidImagePathThrows) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   EXPECT_THROW(
       (void)model.generateFromString("nonexistent_image.jpg", {}, true),
       RnExecutorchError);
 }
 
-TEST(BaseSemanticSegmentationGenerateTests, EmptyImagePathThrows) {
-  BaseSemanticSegmentation model(
-      kValidBaseSemanticSegmentationModelPath, {}, {},
-      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
-                               constants::kDeeplabV3Resnet50Labels.end()),
-      nullptr);
+TEST(SemanticSegmentationGenerateTests, EmptyImagePathThrows) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   EXPECT_THROW((void)model.generateFromString("", {}, true), RnExecutorchError);
 }
 
-TEST(BaseSemanticSegmentationGenerateTests, MalformedURIThrows) {
-  BaseSemanticSegmentation model(
-      kValidBaseSemanticSegmentationModelPath, {}, {},
-      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
-                               constants::kDeeplabV3Resnet50Labels.end()),
-      nullptr);
+TEST(SemanticSegmentationGenerateTests, MalformedURIThrows) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   EXPECT_THROW(
       (void)model.generateFromString("not_a_valid_uri://bad", {}, true),
       RnExecutorchError);
 }
 
-TEST(BaseSemanticSegmentationGenerateTests, ValidImageNoFilterReturnsResult) {
-  BaseSemanticSegmentation model(
-      kValidBaseSemanticSegmentationModelPath, {}, {},
-      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
-                               constants::kDeeplabV3Resnet50Labels.end()),
-      nullptr);
+TEST(SemanticSegmentationGenerateTests, ValidImageNoFilterReturnsResult) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   auto result = model.generateFromString(kValidTestImagePath, {}, true);
   EXPECT_NE(result.argmax, nullptr);
   EXPECT_NE(result.classBuffers, nullptr);
 }
 
-TEST(BaseSemanticSegmentationGenerateTests, ValidImageReturnsAllClasses) {
-  BaseSemanticSegmentation model(
-      kValidBaseSemanticSegmentationModelPath, {}, {},
-      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
-                               constants::kDeeplabV3Resnet50Labels.end()),
-      nullptr);
+TEST(SemanticSegmentationGenerateTests, ValidImageReturnsAllClasses) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   auto result = model.generateFromString(kValidTestImagePath, {}, true);
   ASSERT_NE(result.classBuffers, nullptr);
   EXPECT_EQ(result.classBuffers->size(), 21u);
 }
 
-TEST(BaseSemanticSegmentationGenerateTests, ClassFilterLimitsClassBuffers) {
-  BaseSemanticSegmentation model(
-      kValidBaseSemanticSegmentationModelPath, {}, {},
-      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
-                               constants::kDeeplabV3Resnet50Labels.end()),
-      nullptr);
+TEST(SemanticSegmentationGenerateTests, ClassFilterLimitsClassBuffers) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   std::set<std::string, std::less<>> filter = {"PERSON", "CAT"};
   auto result = model.generateFromString(kValidTestImagePath, filter, true);
   ASSERT_NE(result.classBuffers, nullptr);
@@ -225,12 +151,8 @@ TEST(BaseSemanticSegmentationGenerateTests, ClassFilterLimitsClassBuffers) {
   }
 }
 
-TEST(BaseSemanticSegmentationGenerateTests, ResizeFalseReturnsResult) {
-  BaseSemanticSegmentation model(
-      kValidBaseSemanticSegmentationModelPath, {}, {},
-      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
-                               constants::kDeeplabV3Resnet50Labels.end()),
-      nullptr);
+TEST(SemanticSegmentationGenerateTests, ResizeFalseReturnsResult) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   auto result = model.generateFromString(kValidTestImagePath, {}, false);
   EXPECT_NE(result.argmax, nullptr);
 }
@@ -238,12 +160,8 @@ TEST(BaseSemanticSegmentationGenerateTests, ResizeFalseReturnsResult) {
 // ============================================================================
 // generateFromPixels tests
 // ============================================================================
-TEST(BaseSemanticSegmentationPixelTests, ValidPixelsNoFilterReturnsResult) {
-  BaseSemanticSegmentation model(
-      kValidBaseSemanticSegmentationModelPath, {}, {},
-      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
-                               constants::kDeeplabV3Resnet50Labels.end()),
-      nullptr);
+TEST(SemanticSegmentationPixelTests, ValidPixelsNoFilterReturnsResult) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   std::vector<uint8_t> buf;
   auto view = makeRgbView(buf, 64, 64);
   auto result = model.generateFromPixels(view, {}, true);
@@ -251,12 +169,8 @@ TEST(BaseSemanticSegmentationPixelTests, ValidPixelsNoFilterReturnsResult) {
   EXPECT_NE(result.classBuffers, nullptr);
 }
 
-TEST(BaseSemanticSegmentationPixelTests, ValidPixelsReturnsAllClasses) {
-  BaseSemanticSegmentation model(
-      kValidBaseSemanticSegmentationModelPath, {}, {},
-      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
-                               constants::kDeeplabV3Resnet50Labels.end()),
-      nullptr);
+TEST(SemanticSegmentationPixelTests, ValidPixelsReturnsAllClasses) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   std::vector<uint8_t> buf;
   auto view = makeRgbView(buf, 64, 64);
   auto result = model.generateFromPixels(view, {}, true);
@@ -264,12 +178,8 @@ TEST(BaseSemanticSegmentationPixelTests, ValidPixelsReturnsAllClasses) {
   EXPECT_EQ(result.classBuffers->size(), 21u);
 }
 
-TEST(BaseSemanticSegmentationPixelTests, ClassFilterLimitsClassBuffers) {
-  BaseSemanticSegmentation model(
-      kValidBaseSemanticSegmentationModelPath, {}, {},
-      std::vector<std::string>(constants::kDeeplabV3Resnet50Labels.begin(),
-                               constants::kDeeplabV3Resnet50Labels.end()),
-      nullptr);
+TEST(SemanticSegmentationPixelTests, ClassFilterLimitsClassBuffers) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   std::vector<uint8_t> buf;
   auto view = makeRgbView(buf, 64, 64);
   std::set<std::string, std::less<>> filter = {"PERSON"};
@@ -283,39 +193,33 @@ TEST(BaseSemanticSegmentationPixelTests, ClassFilterLimitsClassBuffers) {
 // ============================================================================
 // Inherited BaseModel tests
 // ============================================================================
-TEST(BaseSemanticSegmentationInheritedTests, GetInputShapeWorks) {
-  BaseSemanticSegmentation model(kValidBaseSemanticSegmentationModelPath,
-                                 nullptr);
+TEST(SemanticSegmentationInheritedTests, GetInputShapeWorks) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   auto shape = model.getInputShape("forward", 0);
   EXPECT_EQ(shape.size(), 4);
   EXPECT_EQ(shape[0], 1); // Batch size
   EXPECT_EQ(shape[1], 3); // RGB channels
 }
 
-TEST(BaseSemanticSegmentationInheritedTests, GetAllInputShapesWorks) {
-  BaseSemanticSegmentation model(kValidBaseSemanticSegmentationModelPath,
-                                 nullptr);
+TEST(SemanticSegmentationInheritedTests, GetAllInputShapesWorks) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   auto shapes = model.getAllInputShapes("forward");
   EXPECT_FALSE(shapes.empty());
 }
 
-TEST(BaseSemanticSegmentationInheritedTests, GetMethodMetaWorks) {
-  BaseSemanticSegmentation model(kValidBaseSemanticSegmentationModelPath,
-                                 nullptr);
+TEST(SemanticSegmentationInheritedTests, GetMethodMetaWorks) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   auto result = model.getMethodMeta("forward");
   EXPECT_TRUE(result.ok());
 }
 
-TEST(BaseSemanticSegmentationInheritedTests,
-     GetMemoryLowerBoundReturnsPositive) {
-  BaseSemanticSegmentation model(kValidBaseSemanticSegmentationModelPath,
-                                 nullptr);
+TEST(SemanticSegmentationInheritedTests, GetMemoryLowerBoundReturnsPositive) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   EXPECT_GT(model.getMemoryLowerBound(), 0u);
 }
 
-TEST(BaseSemanticSegmentationInheritedTests, InputShapeIsSquare) {
-  BaseSemanticSegmentation model(kValidBaseSemanticSegmentationModelPath,
-                                 nullptr);
+TEST(SemanticSegmentationInheritedTests, InputShapeIsSquare) {
+  SemanticSegmentation model(kValidSemanticSegmentationModelPath, nullptr);
   auto shape = model.getInputShape("forward", 0);
   EXPECT_EQ(shape[2], shape[3]); // Height == Width for DeepLabV3
 }
@@ -323,12 +227,11 @@ TEST(BaseSemanticSegmentationInheritedTests, InputShapeIsSquare) {
 // ============================================================================
 // Constants tests
 // ============================================================================
-TEST(BaseSemanticSegmentationConstantsTests, ClassLabelsHas21Entries) {
+TEST(SemanticSegmentationConstantsTests, ClassLabelsHas21Entries) {
   EXPECT_EQ(constants::kDeeplabV3Resnet50Labels.size(), 21u);
 }
 
-TEST(BaseSemanticSegmentationConstantsTests,
-     ClassLabelsContainExpectedClasses) {
+TEST(SemanticSegmentationConstantsTests, ClassLabelsContainExpectedClasses) {
   auto &labels = constants::kDeeplabV3Resnet50Labels;
   bool hasBackground = false;
   bool hasPerson = false;

From 8e4d43f7e906e06782b1850e4f26169c9cfe5b86 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Tue, 17 Mar 2026 15:23:21 +0100
Subject: [PATCH 52/56] Readd accidentaly removed dep

---
 package.json | 1 +
 yarn.lock    | 1 +
 2 files changed, 2 insertions(+)

diff --git a/package.json b/package.json
index 81fbe08517..145733ff9a 100644
--- a/package.json
+++ b/package.json
@@ -24,6 +24,7 @@
     "eslint-plugin-ft-flow": "^2.0.3",
     "eslint-plugin-markdown": "^5.1.0",
     "eslint-plugin-prettier": "^5.0.1",
+    "expo-router": "~6.0.17",
     "prettier": "^3.3.3",
     "prettier-plugin-jsdoc": "^1.3.0",
     "typescript": "~5.9.2"
diff --git a/yarn.lock b/yarn.lock
index f8b70c6e0c..54c920700d 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -14343,6 +14343,7 @@ __metadata:
     eslint-plugin-ft-flow: "npm:^2.0.3"
     eslint-plugin-markdown: "npm:^5.1.0"
     eslint-plugin-prettier: "npm:^5.0.1"
+    expo-router: "npm:~6.0.17"
     prettier: "npm:^3.3.3"
     prettier-plugin-jsdoc: "npm:^1.3.0"
     typescript: "npm:~5.9.2"

From e4d7a616e9efc1e0a75b9a2bdd093fedd7e13577 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Tue, 17 Mar 2026 15:30:31 +0100
Subject: [PATCH 53/56] Revert formatting in run_test.sh

---
 .../common/rnexecutorch/tests/run_tests.sh    | 313 +++++++++---------
 .../SemanticSegmentationModule.ts             |   2 +-
 2 files changed, 159 insertions(+), 156 deletions(-)

diff --git a/packages/react-native-executorch/common/rnexecutorch/tests/run_tests.sh b/packages/react-native-executorch/common/rnexecutorch/tests/run_tests.sh
index eb43bf6cc7..4f67bf0663 100755
--- a/packages/react-native-executorch/common/rnexecutorch/tests/run_tests.sh
+++ b/packages/react-native-executorch/common/rnexecutorch/tests/run_tests.sh
@@ -15,76 +15,79 @@ MODELS_DIR="$SCRIPT_DIR/integration/assets/models"
 # Test executables
 # ============================================================================
 TEST_EXECUTABLES=(
-    "NumericalTests"
-    "RunnerTests"
-    "LogTests"
-    "FileUtilsTest"
-    "ImageProcessingTest"
-    "FrameProcessorTests"
-    "BaseModelTests"
-    "VisionModelTests"
-    "ClassificationTests"
-    "ObjectDetectionTests"
-    "ImageEmbeddingsTests"
-    "TextEmbeddingsTests"
-    "StyleTransferTests"
-    "VADTests"
-    "TokenizerModuleTests"
-    "SpeechToTextTests"
-    "TextToSpeechTests"
-    "LLMTests"
-    "TextToImageTests"
-    "InstanceSegmentationTests"
-    "OCRTests"
-    "VerticalOCRTests"
+  "NumericalTests"
+  "RunnerTests"
+  "LogTests"
+  "FileUtilsTest"
+  "ImageProcessingTest"
+  "BaseModelTests"
+  "ClassificationTests"
+  "ObjectDetectionTests"
+  "ImageEmbeddingsTests"
+  "TextEmbeddingsTests"
+  "StyleTransferTests"
+  "VADTests"
+  "TokenizerModuleTests"
+  "SpeechToTextTests"
+  "TextToSpeechTests"
+  "LLMTests"
+  "TextToImageTests"
+  "InstanceSegmentationTests"
+  "OCRTests"
+  "VerticalOCRTests"
 )
 
 # ============================================================================
 # Test assets
 # ============================================================================
 TEST_ASSETS=(
-    "integration/assets/test_audio_float.raw"
-    "integration/assets/test_speech.raw"
-    "integration/assets/we_are_software_mansion.jpg"
+  "integration/assets/test_audio_float.raw"
+  "integration/assets/test_speech.raw"
+  "integration/assets/we_are_software_mansion.jpg"
 )
 
 # ============================================================================
 # Models to download (format: "filename|url")
 # ============================================================================
 MODELS=(
-    "style_transfer_candy_xnnpack_fp32.pte|https://huggingface.co/software-mansion/react-native-executorch-style-transfer-candy/resolve/main/xnnpack/style_transfer_candy_xnnpack_fp32.pte"
-    "efficientnet_v2_s_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-efficientnet-v2-s/resolve/v0.6.0/xnnpack/efficientnet_v2_s_xnnpack.pte"
-    "ssdlite320-mobilenetv3-large.pte|https://huggingface.co/software-mansion/react-native-executorch-ssdlite320-mobilenet-v3-large/resolve/v0.6.0/ssdlite320-mobilenetv3-large.pte"
-    "test_image.jpg|https://upload.wikimedia.org/wikipedia/commons/thumb/4/4d/Cat_November_2010-1a.jpg/1200px-Cat_November_2010-1a.jpg"
-    "clip-vit-base-patch32-vision_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-clip-vit-base-patch32/resolve/v0.6.0/clip-vit-base-patch32-vision_xnnpack.pte"
-    "all-MiniLM-L6-v2_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-all-MiniLM-L6-v2/resolve/v0.6.0/all-MiniLM-L6-v2_xnnpack.pte"
-    "tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-all-MiniLM-L6-v2/resolve/v0.6.0/tokenizer.json"
-    "fsmn-vad_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-fsmn-vad/resolve/main/xnnpack/fsmn-vad_xnnpack.pte"
-    "whisper_tiny_en_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-whisper-tiny.en/resolve/v0.8.0/xnnpack/whisper_tiny_en_xnnpack.pte"
-    "whisper_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-whisper-tiny.en/resolve/v0.8.0/tokenizer.json"
-    "smolLm2_135M_8da4w.pte|https://huggingface.co/software-mansion/react-native-executorch-smolLm-2/resolve/v0.6.0/smolLm-2-135M/quantized/smolLm2_135M_8da4w.pte"
-    "smollm_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-smolLm-2/resolve/v0.6.0/tokenizer.json"
-    "deeplabV3_xnnpack_fp32.pte|https://huggingface.co/software-mansion/react-native-executorch-deeplab-v3/resolve/v0.6.0/xnnpack/deeplabV3_xnnpack_fp32.pte"
-    "xnnpack_crnn_english.pte|https://huggingface.co/software-mansion/react-native-executorch-recognizer-crnn.en/resolve/v0.7.0/xnnpack/english/xnnpack_crnn_english.pte"
-    "xnnpack_craft_quantized.pte|https://huggingface.co/software-mansion/react-native-executorch-detector-craft/resolve/v0.7.0/xnnpack/xnnpack_craft.pte"
-    "t2i_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/tokenizer/tokenizer.json"
-    "t2i_encoder.pte|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/text_encoder/model.pte"
-    "t2i_unet.pte|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/unet/model.256.pte"
-    "t2i_decoder.pte|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/vae/model.256.pte"
-    "lfm2_5_vl_quantized_xnnpack_v2.pte|https://huggingface.co/software-mansion/react-native-executorch-lfm2.5-VL-1.6B/resolve/main/quantized/lfm2_5_vl_1_6b_8da4w_xnnpack.pte"
-    "lfm2_vl_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-lfm2.5-VL-1.6B/resolve/main/tokenizer.json"
-    "lfm2_vl_tokenizer_config.json|https://huggingface.co/software-mansion/react-native-executorch-lfm2.5-VL-1.6B/resolve/main/tokenizer_config.json"
-    "yolo26n-seg.pte|https://huggingface.co/software-mansion/react-native-executorch-yolo26-seg/resolve/v0.8.0/yolo26n-seg/xnnpack/yolo26n-seg.pte"
-    "segmentation_image.jpg|https://upload.wikimedia.org/wikipedia/commons/thumb/8/85/Collage_audi.jpg/1280px-Collage_audi.jpg"
+  "style_transfer_candy_xnnpack_fp32.pte|https://huggingface.co/software-mansion/react-native-executorch-style-transfer-candy/resolve/main/xnnpack/style_transfer_candy_xnnpack_fp32.pte"
+  "efficientnet_v2_s_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-efficientnet-v2-s/resolve/v0.6.0/xnnpack/efficientnet_v2_s_xnnpack.pte"
+  "ssdlite320-mobilenetv3-large.pte|https://huggingface.co/software-mansion/react-native-executorch-ssdlite320-mobilenet-v3-large/resolve/v0.6.0/ssdlite320-mobilenetv3-large.pte"
+  "test_image.jpg|https://upload.wikimedia.org/wikipedia/commons/thumb/4/4d/Cat_November_2010-1a.jpg/1200px-Cat_November_2010-1a.jpg"
+  "clip-vit-base-patch32-vision_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-clip-vit-base-patch32/resolve/v0.6.0/clip-vit-base-patch32-vision_xnnpack.pte"
+  "all-MiniLM-L6-v2_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-all-MiniLM-L6-v2/resolve/v0.6.0/all-MiniLM-L6-v2_xnnpack.pte"
+  "tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-all-MiniLM-L6-v2/resolve/v0.6.0/tokenizer.json"
+  "fsmn-vad_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-fsmn-vad/resolve/main/xnnpack/fsmn-vad_xnnpack.pte"
+  "whisper_tiny_en_xnnpack.pte|https://huggingface.co/software-mansion/react-native-executorch-whisper-tiny.en/resolve/v0.8.0/xnnpack/whisper_tiny_en_xnnpack.pte"
+  "whisper_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-whisper-tiny.en/resolve/v0.8.0/tokenizer.json"
+  "kokoro_duration_predictor.pte|https://huggingface.co/software-mansion/react-native-executorch-kokoro/resolve/main/xnnpack/medium/duration_predictor.pte"
+  "kokoro_synthesizer.pte|https://huggingface.co/software-mansion/react-native-executorch-kokoro/resolve/main/xnnpack/medium/synthesizer.pte"
+  "kokoro_af_heart.bin|https://huggingface.co/software-mansion/react-native-executorch-kokoro/resolve/main/voices/af_heart.bin"
+  "kokoro_us_lexicon.json|https://huggingface.co/software-mansion/react-native-executorch-kokoro/resolve/main/phonemizer/us_merged.json"
+  "kokoro_en_tagger.json|https://huggingface.co/software-mansion/react-native-executorch-kokoro/resolve/main/phonemizer/tags.json"
+  "smolLm2_135M_8da4w.pte|https://huggingface.co/software-mansion/react-native-executorch-smolLm-2/resolve/v0.6.0/smolLm-2-135M/quantized/smolLm2_135M_8da4w.pte"
+  "smollm_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-smolLm-2/resolve/v0.6.0/tokenizer.json"
+  "deeplabV3_xnnpack_fp32.pte|https://huggingface.co/software-mansion/react-native-executorch-deeplab-v3/resolve/v0.6.0/xnnpack/deeplabV3_xnnpack_fp32.pte"
+  "xnnpack_crnn_english.pte|https://huggingface.co/software-mansion/react-native-executorch-recognizer-crnn.en/resolve/v0.7.0/xnnpack/english/xnnpack_crnn_english.pte"
+  "xnnpack_craft_quantized.pte|https://huggingface.co/software-mansion/react-native-executorch-detector-craft/resolve/v0.7.0/xnnpack/xnnpack_craft.pte"
+  "t2i_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/tokenizer/tokenizer.json"
+  "t2i_encoder.pte|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/text_encoder/model.pte"
+  "t2i_unet.pte|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/unet/model.256.pte"
+  "t2i_decoder.pte|https://huggingface.co/software-mansion/react-native-executorch-bk-sdm-tiny/resolve/v0.6.0/vae/model.256.pte"
+  "lfm2_5_vl_quantized_xnnpack_v2.pte|https://huggingface.co/software-mansion/react-native-executorch-lfm2.5-VL-1.6B/resolve/main/quantized/lfm2_5_vl_1_6b_8da4w_xnnpack.pte"
+  "lfm2_vl_tokenizer.json|https://huggingface.co/software-mansion/react-native-executorch-lfm2.5-VL-1.6B/resolve/main/tokenizer.json"
+  "lfm2_vl_tokenizer_config.json|https://huggingface.co/software-mansion/react-native-executorch-lfm2.5-VL-1.6B/resolve/main/tokenizer_config.json"
+  "yolo26n-seg.pte|https://huggingface.co/software-mansion/react-native-executorch-yolo26-seg/resolve/v0.8.0/yolo26n-seg/xnnpack/yolo26n-seg.pte"
+  "segmentation_image.jpg|https://upload.wikimedia.org/wikipedia/commons/thumb/8/85/Collage_audi.jpg/1280px-Collage_audi.jpg"
 )
 
 # ============================================================================
 # Libraries to push
 # ============================================================================
 REQUIRED_LIBS=(
-    "$ANDROID_LIBS_DIR/executorch/$ANDROID_ABI/libexecutorch.so:libexecutorch_jni.so"
-    "$ANDROID_LIBS_DIR/pthreadpool/$ANDROID_ABI/libpthreadpool.so:libpthreadpool.so"
-    "$ANDROID_LIBS_DIR/cpuinfo/$ANDROID_ABI/libcpuinfo.so:libcpuinfo.so"
+  "$ANDROID_LIBS_DIR/executorch/$ANDROID_ABI/libexecutorch.so:libexecutorch_jni.so"
+  "$ANDROID_LIBS_DIR/pthreadpool/$ANDROID_ABI/libpthreadpool.so:libpthreadpool.so"
+  "$ANDROID_LIBS_DIR/cpuinfo/$ANDROID_ABI/libcpuinfo.so:libcpuinfo.so"
 )
 
 # Dynamically find libfbjni.so from CMake builds (exclude node_modules for speed)
@@ -94,28 +97,28 @@ MONOREPO_ROOT="$PACKAGE_ROOT/../../.."
 LIBFBJNI_PATH="$SCRIPT_DIR/integration/libs/libfbjni.so"
 
 if [ -z "$LIBFBJNI_PATH" ]; then
-    echo "Error: libfbjni.so not found."
-    echo "Please build an app first: cd apps/computer-vision/android && ./gradlew assembleRelease"
-    exit 1
+  echo "Error: libfbjni.so not found."
+  echo "Please build an app first: cd apps/computer-vision/android && ./gradlew assembleRelease"
+  exit 1
 fi
 
 # Get libc++_shared.so from NDK based on host platform
 if [[ "$OSTYPE" == "darwin"* ]]; then
-    NDK_HOST="darwin-x86_64"
+  NDK_HOST="darwin-x86_64"
 else
-    NDK_HOST="linux-x86_64"
+  NDK_HOST="linux-x86_64"
 fi
 
 LIBCPP_PATH="$ANDROID_NDK/toolchains/llvm/prebuilt/$NDK_HOST/sysroot/usr/lib/aarch64-linux-android/libc++_shared.so"
 
 if [ ! -f "$LIBCPP_PATH" ]; then
-    echo "Error: libc++_shared.so not found at: $LIBCPP_PATH"
-    exit 1
+  echo "Error: libc++_shared.so not found at: $LIBCPP_PATH"
+  exit 1
 fi
 
 GRADLE_LIBS=(
-    "$LIBFBJNI_PATH:libfbjni.so"
-    "$LIBCPP_PATH:libc++_shared.so"
+  "$LIBFBJNI_PATH:libfbjni.so"
+  "$LIBCPP_PATH:libc++_shared.so"
 )
 
 # ============================================================================
@@ -129,7 +132,7 @@ SKIP_BUILD=false
 # ============================================================================
 
 print_usage() {
-    cat <<EOF
+  cat <<EOF
 Usage: $0 [OPTIONS]
 
 Options:
@@ -141,85 +144,85 @@ EOF
 }
 
 log() {
-    echo "[$(date +'%H:%M:%S')] $*"
+  echo "[$(date +'%H:%M:%S')] $*"
 }
 
 error() {
-    echo "[ERROR] $*" >&2
+  echo "[ERROR] $*" >&2
 }
 
 download_if_needed() {
-    local url="$1"
-    local output="$2"
-    local filepath="$MODELS_DIR/$output"
-
-    if [ "$REFRESH_MODELS" = true ] || [ ! -f "$filepath" ]; then
-        log "Downloading $output..."
-        wget -q -O "$filepath" "$url"
-    else
-        log "$output already exists, skipping"
-    fi
+  local url="$1"
+  local output="$2"
+  local filepath="$MODELS_DIR/$output"
+
+  if [ "$REFRESH_MODELS" = true ] || [ ! -f "$filepath" ]; then
+    log "Downloading $output..."
+    wget -q -O "$filepath" "$url"
+  else
+    log "$output already exists, skipping"
+  fi
 }
 
 push_file() {
-    local src="$1"
-    local dest="$2"
-
-    if [ -f "$src" ]; then
-        adb push "$src" "$dest" >/dev/null
-    else
-        error "File not found: $src"
-    fi
+  local src="$1"
+  local dest="$2"
+
+  if [ -f "$src" ]; then
+    adb push "$src" "$dest" >/dev/null
+  else
+    error "File not found: $src"
+  fi
 }
 
 run_test() {
-    local test_exe="$1"
+  local test_exe="$1"
 
-    if adb shell "[ -f $DEVICE_TEST_DIR/$test_exe ]"; then
-        log "Running $test_exe"
-        if ! adb shell "cd $DEVICE_TEST_DIR && LD_LIBRARY_PATH=. ./$test_exe --gtest_color=yes"; then
-            return 1
-        fi
+  if adb shell "[ -f $DEVICE_TEST_DIR/$test_exe ]"; then
+    log "Running $test_exe"
+    if ! adb shell "cd $DEVICE_TEST_DIR && LD_LIBRARY_PATH=. ./$test_exe --gtest_color=yes"; then
+      return 1
     fi
-    return 0
+  fi
+  return 0
 }
 
 # ============================================================================
 # Parse arguments
 # ============================================================================
 for arg in "$@"; do
-    case $arg in
-        --refresh-models)
-            REFRESH_MODELS=true
-            shift
-            ;;
-        --skip-build)
-            SKIP_BUILD=true
-            shift
-            ;;
-        --help)
-            print_usage
-            exit 0
-            ;;
-        *)
-            error "Unknown option: $arg"
-            print_usage
-            exit 1
-            ;;
-    esac
+  case $arg in
+  --refresh-models)
+    REFRESH_MODELS=true
+    shift
+    ;;
+  --skip-build)
+    SKIP_BUILD=true
+    shift
+    ;;
+  --help)
+    print_usage
+    exit 0
+    ;;
+  *)
+    error "Unknown option: $arg"
+    print_usage
+    exit 1
+    ;;
+  esac
 done
 
 # ============================================================================
 # Validate environment
 # ============================================================================
 if ! adb shell ":"; then
-    error "ADB shell couldn't run successfully"
-    exit 1
+  error "ADB shell couldn't run successfully"
+  exit 1
 fi
 
 if [ -z "$ANDROID_NDK" ]; then
-    error "ANDROID_NDK is not set"
-    exit 1
+  error "ANDROID_NDK is not set"
+  exit 1
 fi
 
 log "ANDROID_NDK = $ANDROID_NDK"
@@ -228,25 +231,25 @@ log "ANDROID_NDK = $ANDROID_NDK"
 # Build tests
 # ============================================================================
 if [ "$SKIP_BUILD" = false ]; then
-    log "Building tests..."
-    rm -rf build
-    mkdir build
-    cd build
-
-    cmake .. \
-        -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
-        -DANDROID_ABI=$ANDROID_ABI \
-        -DANDROID_PLATFORM=android-34 \
-        -DANDROID_STL=c++_shared
-
-    make
+  log "Building tests..."
+  rm -rf build
+  mkdir build
+  cd build
+
+  cmake .. \
+    -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake \
+    -DANDROID_ABI=$ANDROID_ABI \
+    -DANDROID_PLATFORM=android-34 \
+    -DANDROID_STL=c++_shared
+
+  make
 else
-    if ! [ -d build ]; then
-        error "Build was skipped and the build directory doesn't exist"
-        exit 1
-    fi
-    log "Skipping build..."
-    cd build
+  if ! [ -d build ]; then
+    error "Build was skipped and the build directory doesn't exist"
+    exit 1
+  fi
+  log "Skipping build..."
+  cd build
 fi
 
 # ============================================================================
@@ -260,10 +263,10 @@ adb shell "mkdir -p $DEVICE_TEST_DIR"
 # ============================================================================
 log "Pushing test executables to device..."
 for test_exe in "${TEST_EXECUTABLES[@]}"; do
-    if [ -f "$test_exe" ]; then
-        push_file "$test_exe" "$DEVICE_TEST_DIR/"
-        adb shell "chmod +x $DEVICE_TEST_DIR/$test_exe"
-    fi
+  if [ -f "$test_exe" ]; then
+    push_file "$test_exe" "$DEVICE_TEST_DIR/"
+    adb shell "chmod +x $DEVICE_TEST_DIR/$test_exe"
+  fi
 done
 
 # ============================================================================
@@ -271,7 +274,7 @@ done
 # ============================================================================
 log "Pushing test assets to device..."
 for asset in "${TEST_ASSETS[@]}"; do
-    push_file "../$asset" "$DEVICE_TEST_DIR/"
+  push_file "../$asset" "$DEVICE_TEST_DIR/"
 done
 
 # ============================================================================
@@ -281,8 +284,8 @@ log "Downloading models (use --refresh-models to force re-download)..."
 mkdir -p "$MODELS_DIR"
 
 for entry in "${MODELS[@]}"; do
-    IFS='|' read -r filename url <<<"$entry"
-    download_if_needed "$url" "$filename"
+  IFS='|' read -r filename url <<<"$entry"
+  download_if_needed "$url" "$filename"
 done
 
 # ============================================================================
@@ -290,9 +293,9 @@ done
 # ============================================================================
 log "Pushing models to device..."
 for model in "$MODELS_DIR"/*; do
-    if [ -f "$model" ]; then
-        push_file "$model" "$DEVICE_TEST_DIR/"
-    fi
+  if [ -f "$model" ]; then
+    push_file "$model" "$DEVICE_TEST_DIR/"
+  fi
 done
 
 # ============================================================================
@@ -301,19 +304,19 @@ done
 log "Pushing shared libraries to device..."
 
 for lib_entry in "${REQUIRED_LIBS[@]}"; do
-    IFS=':' read -r src dest <<<"$lib_entry"
-    if [ -f "$src" ]; then
-        push_file "$src" "$DEVICE_TEST_DIR/$dest"
-    fi
+  IFS=':' read -r src dest <<<"$lib_entry"
+  if [ -f "$src" ]; then
+    push_file "$src" "$DEVICE_TEST_DIR/$dest"
+  fi
 done
 
 for lib_entry in "${GRADLE_LIBS[@]}"; do
-    IFS=':' read -r src dest <<<"$lib_entry"
-    if [ -f "$src" ]; then
-        push_file "$src" "$DEVICE_TEST_DIR/"
-    else
-        error "Library not found: $src"
-    fi
+  IFS=':' read -r src dest <<<"$lib_entry"
+  if [ -f "$src" ]; then
+    push_file "$src" "$DEVICE_TEST_DIR/"
+  else
+    error "Library not found: $src"
+  fi
 done
 
 # ============================================================================
@@ -322,9 +325,9 @@ done
 log "Running tests on device..."
 FAILED=0
 for test_exe in "${TEST_EXECUTABLES[@]}"; do
-    if ! run_test "$test_exe"; then
-        FAILED=1
-    fi
+  if ! run_test "$test_exe"; then
+    FAILED=1
+  fi
 done
 
 # ============================================================================
@@ -336,9 +339,9 @@ adb shell "rm -rf $DEVICE_TEST_DIR"
 cd ..
 
 if [ $FAILED -eq 0 ]; then
-    log "All tests passed!"
+  log "All tests passed!"
 else
-    error "Some tests failed"
+  error "Some tests failed"
 fi
 
 exit $FAILED
diff --git a/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts b/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts
index e031e87612..a35df92d83 100644
--- a/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts
+++ b/packages/react-native-executorch/src/modules/computer_vision/SemanticSegmentationModule.ts
@@ -62,7 +62,7 @@ type ResolveLabels<T extends SemanticSegmentationModelName | LabelEnum> =
 
 /**
  * Generic semantic segmentation module with type-safe label maps.
- * Use a model name (e.g. `'deeplab-v3'`) as the generic parameter for built-in models,
+ * Use a model name (e.g. `'deeplab-v3-resnet50'`) as the generic parameter for built-in models,
  * or a custom label enum for custom configs.
  *
  * @typeParam T - Either a built-in model name (`'deeplab-v3-resnet50'`,

From b3a9b897780f757ee3bc20361ac8a05b767aa3fd Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Tue, 17 Mar 2026 17:18:21 +0100
Subject: [PATCH 54/56] Remove OD_live button

---
 apps/computer-vision/app/index.tsx                   |  6 ------
 .../BaseInstanceSegmentation.cpp                     | 12 +++++++++---
 2 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/apps/computer-vision/app/index.tsx b/apps/computer-vision/app/index.tsx
index 6c7c24bf21..b415a49cdc 100644
--- a/apps/computer-vision/app/index.tsx
+++ b/apps/computer-vision/app/index.tsx
@@ -35,12 +35,6 @@ export default function Home() {
         >
           <Text style={styles.buttonText}>Object Detection</Text>
         </TouchableOpacity>
-        <TouchableOpacity
-          style={styles.button}
-          onPress={() => router.navigate('object_detection_live/')}
-        >
-          <Text style={styles.buttonText}>Object Detection Live</Text>
-        </TouchableOpacity>
         <TouchableOpacity
           style={styles.button}
           onPress={() => router.navigate('instance_segmentation/')}
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index 2f14d5b964..0b9f8d9ea6 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -40,7 +40,7 @@ cv::Size BaseInstanceSegmentation::modelInputSize() const {
     return VisionModel::modelInputSize();
   }
   const auto &shape = inputShapes[0];
-  return cv::Size(shape[shape.size() - 2], shape[shape.size() - 1]);
+  return {shape[shape.size() - 2], shape[shape.size() - 1]};
 }
 
 std::vector<types::Instance> BaseInstanceSegmentation::runInference(
@@ -149,7 +149,7 @@ cv::Rect BaseInstanceSegmentation::computeMaskCropRect(
   int32_t my2 =
       std::min(maskSize.height, static_cast<int32_t>(std::ceil(my2F)));
 
-  return cv::Rect(mx1, my1, mx2 - mx1, my2 - my1);
+  return {mx1, my1, mx2 - mx1, my2 - my1};
 }
 
 cv::Rect BaseInstanceSegmentation::addPaddingToRect(const cv::Rect &rect,
@@ -159,7 +159,7 @@ cv::Rect BaseInstanceSegmentation::addPaddingToRect(const cv::Rect &rect,
   int32_t x2 = std::min(maskSize.width, rect.x + rect.width + 1);
   int32_t y2 = std::min(maskSize.height, rect.y + rect.height + 1);
 
-  return cv::Rect(x1, y1, x2 - x1, y2 - y1);
+  return {x1, y1, x2 - x1, y2 - y1};
 }
 
 cv::Mat BaseInstanceSegmentation::warpToOriginalResolution(
@@ -253,6 +253,12 @@ void BaseInstanceSegmentation::ensureMethodLoaded(
         "or 'forward_{inputSize}' for multi-method models.");
   }
 
+  if (!module_) {
+    throw RnExecutorchError(RnExecutorchErrorCode::ModuleNotLoaded,
+                            "Model not loaded: Cannot load method '" +
+                                methodName + "'");
+  }
+
   if (currentlyLoadedMethod_ != methodName) {
     if (!currentlyLoadedMethod_.empty()) {
       module_->unload_method(currentlyLoadedMethod_);

From ab4c33cb7b07507b3cd7065991838c6c8ff98e8b Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Tue, 17 Mar 2026 19:55:01 +0100
Subject: [PATCH 55/56] Add Mateusz's patch

---
 .../app/vision_camera/index.tsx               | 16 ++--
 .../BaseInstanceSegmentation.cpp              | 80 +++++++------------
 .../BaseInstanceSegmentation.h                | 12 +--
 3 files changed, 45 insertions(+), 63 deletions(-)

diff --git a/apps/computer-vision/app/vision_camera/index.tsx b/apps/computer-vision/app/vision_camera/index.tsx
index 85b7a4a68e..c8b93db6ea 100644
--- a/apps/computer-vision/app/vision_camera/index.tsx
+++ b/apps/computer-vision/app/vision_camera/index.tsx
@@ -74,14 +74,6 @@ const TASKS: Task[] = [
       { id: 'segmentationSelfie', label: 'Selfie' },
     ],
   },
-  {
-    id: 'objectDetection',
-    label: 'Detect',
-    variants: [
-      { id: 'objectDetectionSsdlite', label: 'SSDLite MobileNet' },
-      { id: 'objectDetectionRfdetr', label: 'RF-DETR Nano' },
-    ],
-  },
   {
     id: 'instanceSegmentation',
     label: 'Inst Seg',
@@ -90,6 +82,14 @@ const TASKS: Task[] = [
       { id: 'instanceSegmentation_rfdetr', label: 'RF-DETR Nano Seg' },
     ],
   },
+  {
+    id: 'objectDetection',
+    label: 'Detect',
+    variants: [
+      { id: 'objectDetectionSsdlite', label: 'SSDLite MobileNet' },
+      { id: 'objectDetectionRfdetr', label: 'RF-DETR Nano' },
+    ],
+  },
 ];
 
 // Module-level const so worklets in task components can always reference the same stable object.
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index 0b9f8d9ea6..f24efc622f 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -43,6 +43,16 @@ cv::Size BaseInstanceSegmentation::modelInputSize() const {
   return {shape[shape.size() - 2], shape[shape.size() - 1]};
 }
 
+TensorPtr BaseInstanceSegmentation::buildInputTensor(const cv::Mat &image) {
+  cv::Mat preprocessed = preprocess(image);
+  return (normMean_.has_value() && normStd_.has_value())
+             ? image_processing::getTensorFromMatrix(
+                   modelInputShape_, preprocessed, normMean_.value(),
+                   normStd_.value())
+             : image_processing::getTensorFromMatrix(modelInputShape_,
+                                                     preprocessed);
+}
+
 std::vector<types::Instance> BaseInstanceSegmentation::runInference(
     const cv::Mat &image, double confidenceThreshold, double iouThreshold,
     int32_t maxInstances, const std::vector<int32_t> &classIndices,
@@ -64,16 +74,8 @@ std::vector<types::Instance> BaseInstanceSegmentation::runInference(
   cv::Size modelInputSize(shape[shape.size() - 2], shape[shape.size() - 1]);
   cv::Size originalSize(image.cols, image.rows);
 
-  cv::Mat preprocessed = preprocess(image);
-
-  auto inputTensor = (normMean_.has_value() && normStd_.has_value())
-                         ? image_processing::getTensorFromMatrix(
-                               modelInputShape_, preprocessed,
-                               normMean_.value(), normStd_.value())
-                         : image_processing::getTensorFromMatrix(
-                               modelInputShape_, preprocessed);
-
-  auto forwardResult = BaseModel::execute(methodName, {inputTensor});
+  auto forwardResult =
+      BaseModel::execute(methodName, {buildInputTensor(image)});
   if (!forwardResult.ok()) {
     throw RnExecutorchError(
         forwardResult.error(),
@@ -82,9 +84,13 @@ std::vector<types::Instance> BaseInstanceSegmentation::runInference(
             methodName + "' is valid.");
   }
 
-  return postprocess(forwardResult.get(), originalSize, modelInputSize,
-                     confidenceThreshold, iouThreshold, maxInstances,
-                     classIndices, returnMaskAtOriginalResolution);
+  validateThresholds(confidenceThreshold, iouThreshold);
+  validateOutputTensors(forwardResult.get());
+
+  auto instances = collectInstances(
+      forwardResult.get(), originalSize, modelInputSize, confidenceThreshold,
+      classIndices, returnMaskAtOriginalResolution);
+  return finalizeInstances(std::move(instances), iouThreshold, maxInstances);
 }
 
 std::vector<types::Instance> BaseInstanceSegmentation::generateFromString(
@@ -259,37 +265,16 @@ void BaseInstanceSegmentation::ensureMethodLoaded(
                                 methodName + "'");
   }
 
-  if (currentlyLoadedMethod_ != methodName) {
-    if (!currentlyLoadedMethod_.empty()) {
-      module_->unload_method(currentlyLoadedMethod_);
-    }
-    currentlyLoadedMethod_ = methodName;
-    auto loadResult = module_->load_method(methodName);
-    if (loadResult != executorch::runtime::Error::Ok) {
-      throw RnExecutorchError(
-          loadResult, "Failed to load method '" + methodName +
-                          "'. Ensure the method exists in the exported model.");
-    }
+  if (!currentlyLoadedMethod_.empty()) {
+    module_->unload_method(currentlyLoadedMethod_);
   }
-}
-
-cv::Size BaseInstanceSegmentation::getInputSize(const std::string &methodName) {
-  auto inputShapes = getAllInputShapes(methodName);
-  if (inputShapes.empty()) {
-    throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs,
-                            "Method '" + methodName +
-                                "' has no input tensors.");
-  }
-
-  const auto &inputShape = inputShapes[0];
-  if (inputShape.empty()) {
-    throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs,
-                            "Method '" + methodName +
-                                "' input tensor has no dimensions.");
+  currentlyLoadedMethod_ = methodName;
+  auto loadResult = module_->load_method(methodName);
+  if (loadResult != executorch::runtime::Error::Ok) {
+    throw RnExecutorchError(
+        loadResult, "Failed to load method '" + methodName +
+                        "'. Ensure the method exists in the exported model.");
   }
-
-  int32_t inputSize = inputShape[inputShape.size() - 1];
-  return cv::Size(inputSize, inputSize);
 }
 
 std::vector<types::Instance> BaseInstanceSegmentation::finalizeInstances(
@@ -308,15 +293,12 @@ std::vector<types::Instance> BaseInstanceSegmentation::finalizeInstances(
   return instances;
 }
 
-std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
+std::vector<types::Instance> BaseInstanceSegmentation::collectInstances(
     const std::vector<EValue> &tensors, cv::Size originalSize,
-    cv::Size modelInputSize, double confidenceThreshold, double iouThreshold,
-    int32_t maxInstances, const std::vector<int32_t> &classIndices,
+    cv::Size modelInputSize, double confidenceThreshold,
+    const std::vector<int32_t> &classIndices,
     bool returnMaskAtOriginalResolution) {
 
-  validateThresholds(confidenceThreshold, iouThreshold);
-  validateOutputTensors(tensors);
-
   float widthRatio =
       static_cast<float>(originalSize.width) / modelInputSize.width;
   float heightRatio =
@@ -371,7 +353,7 @@ std::vector<types::Instance> BaseInstanceSegmentation::postprocess(
                            binaryMask.cols, binaryMask.rows, labelIdx, score);
   }
 
-  return finalizeInstances(std::move(instances), iouThreshold, maxInstances);
+  return instances;
 }
 
 } // namespace rnexecutorch::models::instance_segmentation
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
index 72dd734271..341d0f2235 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.h
@@ -53,12 +53,13 @@ class BaseInstanceSegmentation : public VisionModel {
       int32_t maxInstances, const std::vector<int32_t> &classIndices,
       bool returnMaskAtOriginalResolution, const std::string &methodName);
 
+  TensorPtr buildInputTensor(const cv::Mat &image);
+
   std::vector<types::Instance>
-  postprocess(const std::vector<EValue> &tensors, cv::Size originalSize,
-              cv::Size modelInputSize, double confidenceThreshold,
-              double iouThreshold, int32_t maxInstances,
-              const std::vector<int32_t> &classIndices,
-              bool returnMaskAtOriginalResolution);
+  collectInstances(const std::vector<EValue> &tensors, cv::Size originalSize,
+                   cv::Size modelInputSize, double confidenceThreshold,
+                   const std::vector<int32_t> &classIndices,
+                   bool returnMaskAtOriginalResolution);
 
   void validateThresholds(double confidenceThreshold,
                           double iouThreshold) const;
@@ -69,7 +70,6 @@ class BaseInstanceSegmentation : public VisionModel {
 
   // Model loading and input helpers
   void ensureMethodLoaded(const std::string &methodName);
-  cv::Size getInputSize(const std::string &methodName);
 
   std::tuple<utils::computer_vision::BBox, float, int32_t>
   extractDetectionData(const float *bboxData, const float *scoresData,

From bac2b69d9b97f149d75b1f4e238488379ab97888 Mon Sep 17 00:00:00 2001
From: benITo47 <bartlomiej.obrochta03@gmail.com>
Date: Tue, 17 Mar 2026 20:25:40 +0100
Subject: [PATCH 56/56] Remove console.logs, change error type

---
 .../tasks/InstanceSegmentationTask.tsx          | 17 +----------------
 .../BaseInstanceSegmentation.cpp                |  5 ++---
 .../src/types/instanceSegmentation.ts           |  6 +++---
 3 files changed, 6 insertions(+), 22 deletions(-)

diff --git a/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx b/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx
index cf50f15117..3bd1eab329 100644
--- a/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx
+++ b/apps/computer-vision/components/vision_camera/tasks/InstanceSegmentationTask.tsx
@@ -73,27 +73,12 @@ export default function InstanceSegmentationTask({
       imageWidth: number;
       imageHeight: number;
     }) => {
-      console.log(`[${activeModel}] Got ${p.results.length} instances`);
-      if (p.results.length > 0) {
-        const first = p.results[0];
-        console.log(`[${activeModel}] First instance:`, {
-          label: first.label,
-          score: first.score,
-          bbox: first.bbox,
-          maskWidth: first.maskWidth,
-          maskHeight: first.maskHeight,
-          maskSize: first.mask.length,
-        });
-      }
       const displayInstances = buildDisplayInstances(
         p.results.map((inst) => ({
           ...inst,
           label: String(inst.label),
         }))
       );
-      console.log(
-        `[${activeModel}] Built ${displayInstances.length} display instances`
-      );
       setInstances((prev) => {
         // Dispose old mask images
         prev.forEach((inst) => inst.maskImage.dispose());
@@ -105,7 +90,7 @@ export default function InstanceSegmentationTask({
       if (diff > 0) onFpsChange(Math.round(1000 / diff), diff);
       lastFrameTimeRef.current = now;
     },
-    [onFpsChange, activeModel]
+    [onFpsChange]
   );
 
   const frameOutput = useFrameOutput({
diff --git a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
index f24efc622f..9f62ad5a8c 100644
--- a/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
+++ b/packages/react-native-executorch/common/rnexecutorch/models/instance_segmentation/BaseInstanceSegmentation.cpp
@@ -2,7 +2,6 @@
 
 #include <cmath>
 #include <cstdint>
-#include <iostream>
 #include <rnexecutorch/Error.h>
 #include <rnexecutorch/ErrorCodes.h>
 #include <rnexecutorch/Log.h>
@@ -234,7 +233,7 @@ void BaseInstanceSegmentation::validateThresholds(double confidenceThreshold,
 void BaseInstanceSegmentation::validateOutputTensors(
     const std::vector<EValue> &tensors) const {
   if (tensors.size() != 3) {
-    throw RnExecutorchError(RnExecutorchErrorCode::UnexpectedNumInputs,
+    throw RnExecutorchError(RnExecutorchErrorCode::InvalidModelOutput,
                             "Expected 3 output tensors ([1,N,4] + [1,N,2] + "
                             "[1,N,H,W]), got " +
                                 std::to_string(tensors.size()));
@@ -268,13 +267,13 @@ void BaseInstanceSegmentation::ensureMethodLoaded(
   if (!currentlyLoadedMethod_.empty()) {
     module_->unload_method(currentlyLoadedMethod_);
   }
-  currentlyLoadedMethod_ = methodName;
   auto loadResult = module_->load_method(methodName);
   if (loadResult != executorch::runtime::Error::Ok) {
     throw RnExecutorchError(
         loadResult, "Failed to load method '" + methodName +
                         "'. Ensure the method exists in the exported model.");
   }
+  currentlyLoadedMethod_ = methodName;
 }
 
 std::vector<types::Instance> BaseInstanceSegmentation::finalizeInstances(
diff --git a/packages/react-native-executorch/src/types/instanceSegmentation.ts b/packages/react-native-executorch/src/types/instanceSegmentation.ts
index 117f7dcd2f..1256f85f3e 100644
--- a/packages/react-native-executorch/src/types/instanceSegmentation.ts
+++ b/packages/react-native-executorch/src/types/instanceSegmentation.ts
@@ -1,5 +1,5 @@
 import { RnExecutorchError } from '../errors/errorUtils';
-import { LabelEnum, ResourceSource, Triple, Frame } from './common';
+import { LabelEnum, ResourceSource, Triple, Frame, PixelData } from './common';
 import { Bbox } from './objectDetection';
 
 /**
@@ -185,13 +185,13 @@ export interface InstanceSegmentationType<L extends LabelEnum> {
 
   /**
    * Executes the model's forward pass to perform instance segmentation on the provided image.
-   * @param imageSource - A string representing the image source (e.g., a file path, URI, or base64 string) to be processed.
+   * @param imageSource - A string (e.g., a file path, URI ) or PixelData representing the image source to be processed.
    * @param options - Optional configuration for the segmentation process.
    * @returns A Promise resolving to an array of {@link SegmentedInstance} objects.
    * @throws {RnExecutorchError} If the model is not loaded or is currently processing another image.
    */
   forward: (
-    imageSource: string,
+    imageSource: string | PixelData,
     options?: InstanceSegmentationOptions<L>
   ) => Promise<SegmentedInstance<L>[]>;